RED BLOOD CELL ABNORMALITIES IN WHITE-BLOODED ICEFISHES AND RELATED ANTARCTIC SPECIES by ZOE NUNEZ A THESIS Presented to the Department of Honors Biology and the Robert D. Clark Honors College in partial fulfillment of the requirements for the degree of Bachelor of Science November 2023 2 An Abstract of the Thesis of Zoe Nunez for the degree of Bachelor of Science in the Department of Honors Biology to be taken June 2024 Title: Red Blood Cell Abnormalities in White-Blooded Icefishes and Related Antarctic Species Approved: John H Postlethwait Ph.D. Primary Thesis Advisor The process of cell differentiation is crucial for organism viability, especially the formation of red blood cells (RBCs) that contain hemoglobin and provide essential oxygen transportation to the tissues. Antarctic white-blooded icefishes are, however, evolutionary oddities that lack mature RBCs and hemoglobin. An outstanding question is if the loss of hemoglobin genes in the icefish ancestor could have led to the arrest of RBC maturation in icefishes, or inversely if the arrest of RBC maturation could have triggered the loss of hemoglobin genes. Here, we aimed to test these two conflicting hypotheses. The ‘genes-first hypothesis’ predicts that the icefish ancestors would start to lose hemoglobin genes while having normal blood cells, but the ‘cells-first’ hypothesis predicts that icefish ancestors would have damaged RBCs but normal hemoglobin genes. To test these predictions, we analyzed the blood cell composition and RBC morphology in 13 red-blooded Antarctic fish species and in seven icefishes by microscopy, semi-automated digital image analyses, and phylogenetic comparative analyses. My investigation revealed that some species closely related to icefishes display abnormal RBCs that are larger and rounder than in other red-blooded species and have off- centered nuclei. My results suggest that RBC maturation was likely already altered before the loss of hemoglobin genes in icefishes. Close analysis of cellular abnormalities arising in these Antarctic fish species may inform us on hereditary human diseases such as anemias arising from improper RBC formation. 3 Acknowledgements I would like to thank my mentor Thomas Desvignes for providing me with guidance and support along every step up my research journey. I would also like to thank Professor John H. Postlethwait for allowing me to join his lab and always providing feedback throughout my entire research process. Additionally, I would like to thank Dr. Elizabeth Raisanen for taking the time to be my honors college representative and always answering any questions I had about the thesis process. Over the past couple years I have gained an endless amount of guidance and experience I am incredibly thankful for. Although the research process has been challenging it has also been highly rewarding working in the Postlethwait lab and seeing my research come together. 4 Table of Contents Introduction 6 Notothenioid Evolution: 6 Relevancy and Goals: 12 Methods 14 Blood Smear Staining: 14 Microscopy and Cellular Analyses 15 Phylogenetic Comparative Analysis 18 Results 20 Evolution of the Antarctic Notothenioid Blood 20 Evolution of notothenioid hematocrit 20 Notothenioid blood cellular makeup 26 Cellular abnormalities in the Antarctic notothenioid Blood 28 Evolution of red-blood cell area 28 Evolution of red-blood cell roundness 35 Integration of red-blood cell area and roundness evolution 38 Abnormally Located Nuclei in Antarctic Notothenioids 42 Discussion 50 Can discontinuing RBC production be energetically advantageous? 51 If maladaptive, why did RBC production become discontinued? 53 Conclusion 58 Bibliography 61 5 List of Figures Figure 1. Phylogenetic tree of notothenioids and their traits 6 Figure 2. Blood smear fixation 14 Figure 3. Cellular classification 16 Figure 4. Digital analysis of cells 17 Figure 5. Comparison of nuclei position 18 Figure 6. Evolution of Antarctic notothenioid hematocrit 22 Figure 7. Proportions of main blood cell lineages in Antarctic notothenioid blood 27 Figure 8. Cellular Abnormalities in the Antarctic notothenioid blood 31 Figure 9. Area and Roundness Model and Phylogenetic Signal Testing 34 Figure 10. Phylomorphospace of Red Blood Cell Area and Roundness 40 Figure 11. Abnormally Located Nuclei in Antarctic Notothenioids 46 6 Introduction Notothenioid Evolution: Notothenioids, the Antarctic fishes that inhabit the freezing waters surrounding Antarctica have evolved many unique adaptations and also diversified into a vast variety of species (Matschiner et al., 2015). Notothenioids are classified into eight families and ~140 different species (Eastman & Eakin, 2021). Five of the eight notothenioid families, referred to as cryonotothenioids, diversified from a single common ancestor and inhabit the Antarctic waters. These families, as shown below in Figure 1, include the Nototheniidae (notothens), Artedidraconidae (barbeled plunderfishes), Harpagiferidae (spiny plunderfishes), Bathydraconidae (dragonfishes), and Channichthyidae (icefishes). Cryonotothenioids are a prime example of adaptive radiation, which is the rapid origin of a variety of distinct species due to ecomorphological divergence among close relatives (Matschiner et al., 2015). These five Antarctic families are where I center my research, specifically focusing on the icefishes. Figure 1. Phylogenetic tree of notothenioids and their traits - Simplified phylogenetic tree showing the relationship of the eight notothenioid fish families and differences in hemoglobin expression and properties. The white and black branches of the tree identify the non-Antarctic and Antarctic notothenioids, respectively (Reproduced from Verde et al., 2006). 7 The Antarctic waters typically remain close to freezing throughout the year (about negative 1.9℃ for sea water), meaning there can be sea ice at the surface and nearly freezing temperatures in the water column (Near et al., 2006). Without necessary adaptations, these thermal conditions would result in the death and subsequent extinction of many fishes as their blood and body would freeze upon contact with the sea ice. However, notothenioids have evolved antifreeze glycoproteins (AFGPs) that lower their internal freezing point. AFGPs occur in all five of the Antarctic families (Cheng & DeVries, 2005). Other evolutionary differences occurring in the Antarctic notothenioids include the loss of heat-shock response, reduction in hemoglobin multiplicity (presence of multiple different hemoglobin isoforms), reduced hematocrit (volume percentage of cells in the blood), reduced hemoglobin affinity for oxygen, and the loss of hemoglobin in the Channichthyidae family (Matschiner et al., 2015; Verde et al., 2006). The heat-shock response is the cell's ability to produce higher levels of heat-shock proteins inside the cell in response to stress, such as changes in temperature, that could damage proteins. These heat-shock response proteins either refold misfolded proteins or target the damaged ones for degradation (Le Breton & Mayer, 2016). Hemoglobin multiplicity is the presence of multiple different hemoglobin isoforms, each possessing different physicochemical properties that can help adapt to changing environmental or physiological conditions (Desvignes et al., 2023). Hematocrit is the ratio of cell volume to the total blood volume. Thus, there has been a multitude of changes in notothenioids related to their blood composition and oxygen transportation as they evolved and adapted to the icy Antarctic environment. Icefishes, or Channichthyidae, diversified from the other Antarctic notothenioids about 5.5 MYA (Bista et al., 2022). Icefishes are a group of Antarctic fish species that survive despite 8 lacking mature red blood cells and hemoglobin. They are an evolutionary and biological oddity because hemoglobin and red blood cells are an essential part of oxygen transport in all other vertebrates. However, despite this seemingly detrimental physiology, icefish have evolved adaptations that allow them to maintain normal function and survive in the frigid Antarctic waters. To accommodate for the lack of hemoglobin, which reduces the oxygen-carrying capacity of the blood by a factor of 10 (Matschiner et al., 2015), the Channichthyidae family evolved even more adapted features than their relatives. Some of their compensatory features include increased blood volume, a larger heart stroke volume and cardiac output, and a larger diameter of the arteries and capillaries (Eastman & Eakin, 2021). Along with the high levels of oxygen saturation in the frigid Antarctic Ocean, these unique adaptations allow icefishes to remain fully functional in their Antarctic environment despite what could be seen as a debilitating loss of function. Existing Literature: The icefish family is such a unique evolutionary anomaly living without hemoglobin and mature red blood cells that their physiology and adaptations have fascinated physiologists and evolutionary biologists for decades. However, the origin of this white-blooded phenotype remains unknown. Thus, I have chosen to focus my research on the gap of knowledge revolving around how the loss of hemoglobin and mature red blood cells occurred and which may have come first. Two hypotheses can be made 1) the loss of hemoglobin genes in the icefish ancestor led to the arrest of red blood cell (RBC) maturation because producing cells that have no function is energetically costly for the organism, or, inversely, 2) that detrimental alteration to RBC formation triggered the loss of hemoglobin genes in the icefish ancestor. This hypothesis is 9 plausible because hemoglobin that is not contained in RBCs and is instead dissolved directly in the blood plasma do not assemble into heterotetramers (four subunits) but instead in heterodimers (two subunits) that are toxic for the organism (Vallelian et al., 2022). Previous research on icefishes has mainly focused on the genomic loss of hemoglobin genes in icefishes and their phylogeny among notothenioids; however, few have studied red blood cell morphology, so there is still a large gap in knowledge concerning which loss of function came first. Along with discovering that the loss of hemoglobin genes occurred in the last common ancestor of icefishes (Near et al., 2006), a few studies have focused on characterizing what this gene loss entails and how it happened. Under normal circumstances, hemoglobin is composed of four subunits: two α- and two β-globin protein subunits (Near et al., 2006). However, research has proven that the absence of hemoglobin in icefish is the result of the complete loss of hemoglobin genes, except for a truncated and inactive remnant of one α-globin gene (Near et al., 2006; Bista et al., 2022; Desvignes et al., 2023). Several studies and hypotheses have been advanced concerning why this deletion may have occurred. One hypothesis is that the loss of hemoglobin genes may have occurred as an incidental consequence to alterations to hemoglobin gene expression due to the stability of temperatures and constant high oxygenation of the Antarctic regions (Desvignes et al., 2023; Verde et al., 2006). Indeed, red-blooded Antarctic notothenioids express only one major hemoglobin isoform representing from 85% to 100% of circulating hemoglobin while temperate notothenioids and other perciformes express multiple hemoglobin isoforms in comparable proportions. One of the main advantages of expressing multiple hemoglobin is that each isoform may have different physicochemical properties thus helping adapt and respond to changing 10 environmental or physiological conditions (Desvignes et al., 2023). For example, in the human fetus instead of expressing α- and β-globin genes, the hemoglobin is made of α- and γ-globin protein subunits (Craig et al., 2021). The gamma subunits give fetal hemoglobin an increased affinity for oxygen, which is necessary in the fetal environment to obtain oxygen from the mother’s alpha/beta hemoglobin, however, this gamma subunit is not necessary after the first year of a baby’s life (Craig et al., 2021). Thus expressing different hemoglobin isoforms with differing physicochemical properties are highly important in environments that are constantly fluctuating; however, the frigid waters of the Antarctic are consistently cold, hovering at freezing temperatures. Thus, relaxed selective pressure in the environmental conditions of icefishes and other Antarctic notothenioids may have reduced the need for expressing multiple hemoglobin isoforms (Desvignes et al., 2023). Furthermore, one of the main functions of hemoglobin is oxygen transport; however, there are abundantly high oxygen levels in the Antarctic waters. Since the solubility of oxygen in water is inversely correlated to water temperature, the Antarctic Ocean reaches almost 100% oxygen saturation year-round. (Verde et al., 2006). This means that Antarctic icefishes may not be as limited by oxygen uptake and transportation as fish in normal ocean temperatures despite their lack of hemoglobin. Thus, a lack of necessity for hemoglobin may have been what permitted the loss of hemoglobin genes in icefishes (Verde et al., 2006). In contrast, another study argues that the loss of hemoglobin was not selectively neutral and instead was maladaptive (Near et al., 2006). Multiple adaptations that have evolved in icefish, such as enlarged hearts and increased cardiac output, provide evidence that the loss of hemoglobin was unfit and needed to be compensated for. That study argued that if the loss of hemoglobin was selectively neutral, icefishes would then not have needed to compensate for its 11 loss. Other research additionally supports the conclusion that the loss of hemoglobin was maladaptive (Beck et al., 2022). Studies have also been conducted focusing more broadly on the genetics underlying the red blood cell maturation in icefish. Investigation of genome evolution in connection with red blood cell loss suggested that “the genomic importance of Southern Ocean climate change is biased toward erythrocyte-associated conserved noncoding elements (CNEs) rather than to coding regions” (Daane et al., 2020). CNEs are gene regulatory elements essential for gene expression while coding regions are the portions of the gene that encode for the protein. Furthermore, the drift in CNEs is intensified near genes that are preferentially expressed late in erythropoiesis. Also, the icefish hematopoietic marrow still possesses proerythroblasts (immature RBC), which further indicates that the early differentiation of red blood cells remains intact even though they do not continue to maturation (Daane et al., 2020). Furthermore, when comparing the blood of Parachaenichthys charcoti (Dragonfish family) to Notothenia coriiceps (Notothens family) differences were found in cellular shape, with the P. charcoti blood possessing spherical erythrocytes while the N. coriiceps blood possessed oval erythrocytes (Daane et al., 2020). Additionally, although icefish lack the ability to produce red blood cells, the “erythroid” genes (genes used to make RBCs) appear to remain intact, potentially because they perform other essential functions elsewhere in the organism (pleiotropy) (Daane et al., 2020). Thus, the authors concluded that mutations have accumulated in gene regulatory regions near genes that control terminal RBC maturation so that icefishes continue to produce red cell progenitors; however, they do not produce mature erythrocytes (Daane et al., 2020). This research also looked into the same question addressed in other articles (Beck et al., 2022; Near et al., 2006): whether or not RBC loss is maladaptive or adaptive. They suggest that although icefish save energy 12 through a lack of RBC production, this may be counteracted by the costs of physiological adaptations needed to overcome anemia and the reduced capability to adjust to environmental changes (Daane et al., 2020). Thus, although existing literature provides a basis for explaining the fascinating physiological adaptations concerning the loss of hemoglobin and red blood cells in icefish, it fails to provide a complete picture of how these changes occurred. There is still much to be discovered on the reasoning for this loss of function and to answer the question: Did the loss of hemoglobin or the loss of red blood cells come first? I, therefore, decided to focus my scientific research on the gaps in knowledge that exist in these evolutionary processes to provide a more complete picture of the icefish developmental adaptations. Specifically, I hypothesize that alterations to red blood cell maturation triggered the loss of hemoglobin genes in icefish. Relevancy and Goals: Outside of the intriguing evolutionary steps underlying the loss of hemoglobin genes and the arrest of red blood cell maturation in icefishes, the Channichthyidae family may also serve as a research model for human diseases. Icefish are what we would classify as evolutionary mutant models (EMMs), which are species possessing naturally evolved phenotypes that mimic human diseases (Beck et al., 2022). “Erythrocytes and hemoglobin appear to be dispensable in red- blooded notothenioid lineages, which suggests an inherent resiliency within cryonotothenioids to accommodate extreme anemia” (Daane et al., 2020). Thus, studying the cellular morphology of icefish could lead to important therapeutic developments for anemias in humans, which affect about 27% of the world’s population at some point in their lives (Kassebaum, 2016). Looking more closely into the genes associated with the lack of red blood cell production in icefish as well as their association with anemia can also be highly useful in characterizing 13 human diseases. A study investigating the genetic sequences of two dragonfish species, Parachaenichthys charcoti and Gerlachea australis, found that both have missense mutations in the erythrocytic beta spectrin (sptb) gene at sites corresponding to pathogenic mutations in the same human SPTB gene, which plays a crucial role in red blood cell shape and stability (Daane et al., 2020). Thus, the authors demonstrate convergence between the genes causing improper cell formation in Antarctic fish and in humans. Therefore, because of the genetic and physiological similarities, the cellular morphology of icefish and related Antarctic fish species may help further a mechanistic understanding of red blood cell alterations in humans and the development of new treatments for patients suffering from diseases such as anemia. 14 Methods Blood Smear Staining: The blood of 13 red-blooded Antarctic fish species and seven icefish species were sampled in Antarctica by Thomas Desvignes. A drop of blood was deposited on a microscope slide and smeared using a second slide, as shown in figure 2. Blood smears were then fixed for 3 min in 100% methanol, air-dried, and kept at room temperature until analysis. The slides were stained using a Modified Wright-Giemsa stain following the manufacturer’s protocol (Sigma- Adrich, St. Louis, USA). Briefly, slides were first placed into a Coplin Jar containing about 50 mL of Wright-Giemsa solution for 30 seconds. Slides were then transferred for 5 minutes to a second Coplin Jar containing about 50 mL of distilled water. Finally, slides were transferred to a third Coplin Jar containing about 50 mL of distilled water for 2 minutes. Slides were then left to air dry for at least 24 hours before observation under the microscope. Figure 2. Blood smear fixation - Example of the blood smear fixation process. Image obtained from agric.wa.gov.au 15 Microscopy and Cellular Analyses High-magnification images of the blood cells for each of the 21 fish species were obtained using a Leica microscope equipped with a Leica digital camera operated by the Leica VARs application suite. Images were taken at 40x magnification as well as at 100x magnification with an oil immersion lens. Images were obtained from across the slide in order to capture the cellular diversity of each species, avoiding dense areas where cells overlap with one another thus preventing accurate measurements. After the images were collected the blood cell composition of each fish species was analyzed using ImageJ Cell Counter (NIH, Bethesda, USA). The cells of the 40x images of the cells were categorized and counted as either from the red blood cell lineage, the white blood cell lineage, or the thrombocyte lineage as shown in Figure 3. Thrombocytes in fish are the equivalent of blood platelets in humans (they are involved in responding to blood vessel damage and stopping bleeding) (Stosik et al., 2019). The varying types of cells were marked based on visual indicators evident from our staining protocol. The indicators centered on cellular shape and coloring, and many of the classifications were made based on the descriptions of fish blood cell types (Claver & Quaglia, 2009). Fish erythrocytes (red blood cells) appear oval to rounded in shape and possess a centrally located nucleus. Leukocytes (white blood cells) are typically larger than erythrocytes, with much of their area being composed of a large nucleus and appear to stain more blue than purple. Thrombocytes are much smaller than both erythrocytes and lymphocytes. They are oval in shape and often possess tails or spindles (Claver & Quaglia, 2009). A total of at least 1000 cells were classified for each species. An example of this process is shown below in Figure 3 The proportion of each cell type was then utilized to create a graph showcasing the cellular makeup of the blood of each of the Antarctic fish species analyzed. 16 Figure 3. Cellular classification - Example of cellular classification in the Notothenia coriiceps species. RBC.) Red Blood Cells (Erythrocytes), WBC.) White Blood Cell (Leukocyte), TBC.) Thrombocyte The 100x magnification images for each of the Antarctic fish species were analyzed using semi-automated digital analyses in FIJI (a computer software for image processing). The cellular area and roundness of the mature red blood cells were measured for a total of over 200 cells in each of the red-blooded fish species. The steps conducted for my FIJI Macro are as follows: 1) Duplicate the original image; 2) Enhance contrast and set saturation to 0.3; 3) Subtract the background and set rolling to 50 light; 4) Split channels; 5) Select window and open up the image in the red channel; 6) Enhance contrast, set saturation to 0.3, and normalize; 7) Subtract background and set rolling to 50 light; 8) Enhance contrast, set saturation to 0.3, normalize; 9) Run with a median and radius of five; 10) Set the auto threshold to default and run; 11) Set option as black background; 12) Convert to mask; 13) Open, close, and fill holes; 14) Set scale using distance = 9.78, known = 1, and unit = um; 15) Set measurements for area perimeter 17 bounding fit shape skewness using a variable of 3; 16) Analyze particles, set parameters of size 50 - 100, circularity 0.5 - 1.00. Show outlines, exclude clear and include add; 17) Now, from the black and white image of the cells, remove any cells that do not appear circular or do not appear representative of the original image. Record measurements for the ones that do accurately measure the wanted variables. An overview of this process is shown in figure 4. Figure 4. Digital analysis of cells - Cells of Notothenia coriiceps showcase the semi-automated digital analysis process. First, the microscope image was opened in FIJI. The image was then turned into a black-and-white contrast image and the outline of the cells were obtained with the cellular quantifications of area and roundness of the cell. Roundness is a measure of the length-to- width aspect ratio, an example of which is shown on cell A. Data were also obtained for the area and roundness in ~10 immature red blood cells for the seven icefish species following the same steps listed above. Due to the rarity of immature erythrocytes in the icefish blood, we were not able to measure more erythropoietic cells in icefishes. Individual measurements were then averaged to characterize each species because the phylogenetic comparative methods used allow only a single value per trait and per species. The 40x images were also utilized to quantify the number of off-centered vs centered cell nuclei in each of the 13 red-blooded fish species. No immature RBCs were quantified since they always have an overly large and off-centered nucleus. Thus the icefish species were excluded from this portion of my analysis since they only have immature RBCs. Off-centered cells in the red-blooded species have a different staining of the cytoplasm and a non-condensed nucleus so 18 they were easy to spot and remove. ImageJ Cell Counter was used to count the number of red blood cells with a centered nucleus and with an off-centered nucleus for a total of at least 500 cells in each species. The proportion of centered nuclei was used to classify the species as having either mainly centered nuclei or mainly off-centered nuclei at a threshold of 50%. Cells were each individually classified as being centered only if their nucleus was almost perfectly centered; everything else was classified as off-centered if their nucleus was greater than ~25% off from the true center of the cell. An example of this process is shown below in Figure 5. Figure 5. Comparison of nuclei position - Image of cells in the species comparing centered nuclei (labeled with #1) and off-centered nuclei (labeled with #2). The image on the left is the species Trematomus bernacchii, possessing a majority of centered cell nuclei. The image on the right is the species Parachaenichthys charc2oti, possessing a majority of off-centered cell nuclei. The cell in the bottom left corner with a different color staining of its cytoplasm and an uncondensed nucleus is an immature RBC that was not counted. Phylogenetic Comparative Analysis After collecting and averaging data for the cellular composition and cellular morphology of the blood of each of the 20 fish species, phylogenetic comparative analyses of my quantitative measurements were performed using R studio. I utilized three R packages in combination with a published tree of species (Parker et al., 2022) to analyze the evolution of hematocrit, RBC area, 19 RBC roundness (RBC roundness values, which varies from 0 being completely flat and 1 being a perfect circle, are based on the length-to-width aspect ratio), and positioning of the cell nuclei. The package phytools was utilized for most of my phylogenetic analyses (Revell L, 2012). In this package, I used the functions “contMap” (to map continuous trait evolution on the tree), “phenogram” (to plot a phylogenetic traitgram), “rotateNodes” (to rotate nodes on a phylogenetic tree), “phylosig” (to compute phylogenetic signals using the methods of Blomberg’s K or Pagel’s λ), and “fastBM” (to produce quantitative trait simulation under Brownian motion on phylogenies). Blomberg’s K and Pagel’s λ are two different ways to estimate the strength of phylogenetic signal in a dataset relative to what is expected with Brownian motion. The package geiger was used to create disparity-through-time plots and perform model fitting (Pennell et al., 2014). In this package, I utilized the functions “dtt” (to calculate and plot disparity-through-time for a phylogenetic tree/data) and “fitContinuous” (to perform model fitting for continuous data). Lastly, I used the package Ape in the construction of phylogenetic trees (Paradis & Schliep, 2019). In this package, I utilized the function “drop.tip” (to remove tips in a phylogenetic tree). 20 Results Evolution of the Antarctic Notothenioid Blood As presented in the introduction, the notothen blood and the icefish blood are extremely different. To better understand these differences, I first investigated the blood cellular content. I started by analyzing the hematocrit (i.e., the proportion of cells in the blood) of various species of Antarctic notothenioid fishes based on existing literature and data collected by my lab. I then quantified the differences in the cellular makeup of the blood of red-blooded and white-blooded Antarctic fishes based on microscopic imaging of blood smear samples collected by my lab. Evolution of notothenioid hematocrit Simply drawing blood from notothens and icefishes reveals outstanding differences. The blood of the two groups strikingly differs in their coloration: notothens have dark red blood, similar to ours (Figure 6A), and icefishes have clear white blood (Figure 6B). By centrifuging the blood of notothens and icefishes, dramatic differences in cellular content are further revealed (Figure 6A-B). Notothens have a high quantity of blood cells that appear dark red while icefishes have a small quantity of blood cells that appear white. 21 22 Figure 6. Evolution of Antarctic notothenioid hematocrit - A) Image of a red-blooded Antarctic notothen, Notothenia rossii, alongside an image of its blood before (left) and after centrifugation (right). The upper, clear portion of the centrifuged blood is the blood plasma and the dark red portion at the bottom are the blood cells. B) Image of a white-blooded Antarctic fish, Cryodraco antarcticus, alongside an image of its blood before (left) and after centrifugation (right). The large upper, clear portion is the plasma and the small, white portion at the bottom are the blood cells. C) Ancestral state reconstruction of Antarctic fish hematocrit using the contmap function and a color gradient with yellow representing low hematocrit values (~1%), blue representing intermediate values (~10%), and green representing high hematocrit values (39%). Notothen species names are in red, plunderfishes are in green, dragonfishes are in purple, and icefishes are in cyan. D) Phenogram based on the hematocrit value of various Antarctic fish species. E) Disparity-through-time plot for the evolution of notothenioid hematocrit. F) Model testing of the Early Burst model, Ornstein-Uhlenbeck model, and the Brownian motion model for the hematocrit values. The solid line represents the observed disparity, and the dotted line is the evolution predicted by the BM model of evolution. The shaded gray area in the background represents the 95% confidence interval of the predicted evolution of disparity under the BM model of evolution. G) Model testing for a phylogenetic signal with Blomberg’s K and Pagel’s λ. The p- value for Blomberg’s L is based on 10000 randomizations and the p-value for Pagel’s λ is based on LR-test. Significant values (p<0.05) are written in bold font. I first used the contmap function in the R phytools package to analyze the evolution of hematocrit in 36 species of Antarctic notothenioid fishes (including 17 notothens, 2 plunderfishes, 9 dragonfishes, and 8 icefishes) and reconstructed the ancestral state of the character across the species phylogeny. Hematocrit values were obtained from existing literature (Kooyman 1963; Holeton, 1970; Kunzmann et al., 1992; Beers et al., 2010; etc) and measurements collected by my lab. The contmap analysis returned a tree that revealed the evolution of hematocrit using a color gradient varying from ~1% hematocrit in yellow to ~40% hematocrit in green with a transition by blue set at ~10% (Figure 6C). To visualize the evolution of hematocrit outside of the constraints of the branches of a phylogenetic tree, I created a phenogram of the hematocrit values (Figure 6D). A phenogram plots time on the x-axis and the 23 values of the studied character on the y-axis with phylogenetic relationships displayed based on a time-calibrated tree and the ancestral state of the character predicted under Brownian motion. The blue shading around the edges of the phylogenetic tree represents the 95% confidence interval of the predicted reconstruction. To help identify the different Antarctic notothenioid families, I further colored the names of notothen species in red, plunderfishes in green, dragonfishes in purple, and icefishes in cyan. Both visual representations of the evolution of hematocrit in notothenioids revealed that red-blooded Antarctic fish families possess much higher hematocrit levels than icefishes. Furthermore, my analysis showed that the majority of red-blooded notothenioids have hematocrit values ranging from 12% to 26% and that a few species of the genera Trematomus and Notothenia have much higher hematocrit between 31% and 39%. These analyses further highlighted a clear separation of the white-blooded icefishes whose hematocrit are around 1% in all species. To further explore how the hematocrit changed over time across the different families, I utilized the dtt function in the R geiger package to create a disparity-through-time plot of the character. Disparity-through-time plots estimate the relative trait disparity both within and between subclades and compares it to the null hypothesis that the trait follows an unconstrained model of random, incremental evolution (Brownian Motion, BM) along a time-calibrated phylogenetic tree. The solid black line represents the observed disparity, and the dotted line is the evolution predicted by the BM model of evolution. High disparity values mean that the disparity observed is very different from the disparity seen at the present time (relative time of 1.0 at the present time and 0 representing the stem of the phylogeny at 10.73 MYA) and low disparity means it is similar or the same. The morphological disparity index (MDI) statistics associated with the disparity-through-time analysis sums the deviations of the observed 24 disparity-through-time curve (solid line) from the median of the null model simulations (dotted line) to test whether the observed disparity is significantly different from what would be predicted under a BM model of evolution. In the plot, the shaded gray area represents the 95% confidence interval of the predicted evolution of disparity under the BM model of evolution. A significant positive MDI value signifies that the disparity tends to be distributed among subclades (i.e., the differences in the trait values are large between families) while a significant negative MDI value means that the disparity tends to be distributed within the subclades (i.e., the differences in the trait values are large between species in the same families). Looking at the disparity-through-time plot for hematocrit (Figure 6E), we first observed that there was a change in disparity occurring at a relative time of 0.3, which corresponds to about 6.7 million years ago (MYA), which is around when icefishes diverged from red-blooded notothenioids. While the solid line deviates from the dotted line indicative of BM model, this change is not significant since it is still within the gray shaded area representative of the confidence interval. However, the solid line did deviate outside of our shaded gray area around a relative time of 0.7, which is about 4 MYA, indicating there may be evolution of the trait outside of the BM model happening at this time; however, this deviation was very slight. Overall, the observed disparity remained within the confidence interval of the BM model of evolution, meaning that the hematocrit in notothenioids largely evolved in a random, unconstrained manner across the phylogeny. Finally, our hematocrit MDI value of -0.11 with a non-significant p-value of 0.13 suggests that the hematocrit in notothenioids varied as much between subclades as within clades. As mentioned above, Brownian Motion is a model for character evolution that involves random, incremental, and unconstrained evolution; however, there are other models such as the Early Burst (EB) and the Ornstein-Uhlenbeck (OU) models that make different evolutionary 25 hypotheses. The EB model assumes that organisms evolved randomly after a sudden burst or change in character. Thus, the EB model is suitable to depict the rapid evolution of traits often seen in the context of adaptive radiations. The OU model, in contrast, predicts that organisms evolved randomly and incrementally like in the BM model; however, it is constrained and assumes that the trait, while able to deviate, will evolve toward an optimal value. To compare the fit of each model to the data, I used the corrected Akaike Information Criterion (AICc), which estimates the prediction of error used for a statistical model in a given set of data. The lower the AICc value, the better the model is at fitting the given data. In our case, for hematocrit, since the BM model has the lowest AICc score it is the best at predicting the hematocrit evolution in notothenioids (Figure 6F). This suggests that the notothenioid hematocrit evolved randomly and incrementally in an unconstrained manner. Finally, to determine whether there is a significant phylogenetic signal in my hematocrit data (i.e., whether closely related species are more similar to one another than expected by chance, due to their shared evolutionary history), I calculated the Blomberg’s K and Pagel’s λ (lambda), which are utilized to approximate the strength of phylogenetic signal in a dataset relative to Brownian motion predictions. Based on my model testing on the hematocrit data (Figure 6G), I found that both Blomberg’s K and Pagel’s λ were significant, suggesting that there is a phylogenetic signal in the evolution of hematocrit in our data. This indicates that the evolution of hematocrit in our species is correlated with their evolutionary relationships and that closely related species tend to be more similar to one another than to distantly related species. 26 Notothenioid blood cellular makeup Beyond cell quantity in the blood (i.e., hematocrit), in order to understand how blood cells differ between species, I scored over 1000 randomly-chosen blood cells per species (with one to three fish scored per species) and counted up the distinct number of red blood cells, white blood cells, and thrombocytes in the blood of 21 different Antarctic fish species (Figure 7). The red-blooded families of notothens, plunderfishes, and dragonfishes have the majority of their blood composed of red blood cells (85-96%) and a small portion of white blood cells (~6%) and thrombocytes (~3%). In striking contrast, the icefish blood is primarily composed of white blood cells (70-85%) with only a small portion of red blood cells (~6%) and thrombocytes (~14%). 27 Figure 7. Proportions of main blood cell lineages in Antarctic notothenioid blood - The proportion of main blood cell lineages is illustrated through the different colors inside the bars. The red coloring represents the proportion of red blood cells in the blood. The light blue coloring represents the proportion of white blood cells in the blood. The purple represents the proportion of thrombocytes in the blood. The species names are color-coded based on their families. Notothen species names are in red, plunderfish names are in green, dragonfish names are in purple, and icefish names are in cyan. The images to the right of the bar graph are examples of microscopic images of Antarctic fish species (a notothen, a dragonfish, and an icefish) and how the blood cells were quantified. The 1’s are the red blood cells, 2’s are the white blood cells, and 3’s are the thrombocytes. 28 Not only does cellular makeup of the blood between red-blooded families and white- blooded families look dramatically different, but so do the red blood cells themselves. In the red- blooded families, the majority of red blood cells appear to be fully mature, but in the white- blooded icefish, the few red blood cells seen are immature and appear larger and rounder than in red-blooded notothens (compare “1” in the blood smear of the icefish Pagetopsis macropterus to the notothen Lepidonotothen squamifrons in Fig.2). Intriguingly, a few species of red-blooded fish seem to have red blood cells that are quite round compared to other notothens (See the dragonfish Gymnodraco acuticeps compared to the notothen Lepidonotothen squamifrons in Fig.2). These qualitative observations of red blood cell size and shape variations between white blooded icefishes and red-blooded notothens, and between red-blooded species prompted my following endeavor in research: quantifying the differences in cell area and roundness in icefishes and red-blooded notothenioids. Cellular abnormalities in the Antarctic notothenioid Blood As mentioned above, the qualitative cellular differences observed by microscope imaging of the blood of the various Antarctic notothenioids families prompted me to examine these abnormal cellular dimensions quantitatively. Not only were the immature red blood cells in icefishes abnormally large and round, but seemingly so were the red blood cells in a few closely related species Evolution of red-blood cell area I first used the contmap function in R to analyze the evolution of the cellular area and roundness in 20 Antarctic notothenioid species (including seven notothens, two plunderfishes, four dragonfishes, and seven icefishes) and reconstructed the ancestral state of the character across the species phylogeny. The contmap analysis returned a tree that revealed the evolution of 29 red blood cell area using a color gradient. The gradient varied from high area values of 148 µm2 in blue to low area values of 74 µm2 in red (Figure 8A). To further visualize the evolution of red blood cell area without the constraints of a phylogenetic tree, I created a phenogram of the red blood cells’ dimensional values (Figure 8B). To help identify the different Antarctic notothenioid families I used the family color-coding previously described in Figure 6. Both visual representations of the evolution of red blood cell area in notothenioids revealed that icefishes and the closely related dragonfish family displayed abnormally large red blood cells (RBCs). In icefishes the average value of cellular area was 122 µm2, it was 105 µm2 in dragonfishes, 92 µm2 in plunderfishes, and 91 µm2 in notothens. The dragonfish species with the largest areas were Akarotaxis nudiceps, Gymnodraco acuticeps, and Vomeridens infuscipinnis, which had an average cellular area of ~111 µm2. However, these were not general rules as Parachaenichthys charcoti (88 µm2) from the dragonfish family and Chaenodraco wilsoni (87 µm2) from the icefish family both had smaller areas, more in the notothen area range. 30 31 Figure 8. Cellular Abnormalities in the Antarctic notothenioid blood - A) Ancestral state reconstruction of Antarctic fish blood using the contmap function for cell area values. The color gradient shows the high values of 148 µm2 in blue and the low values of 74 µm2 in red. Notothen species names are written in red, plunderfishes are in green, dragonfishes are in purple, and icefishes are in cyan. B) Ancestral state reconstruction of Antarctic fish blood using the contmap function for cell roundness values. The color gradient shows the high values of 0.96 in blue and the low values of 0.60 in red. Notothen species names are highlighted using the same color scheme previously mentioned. C) Phenogram based on the red blood cell area values of various Antarctic fish species. D) Phenogram based on the red blood cell roundness values of various Antarctic fish species. E) Disparity-through-time plots for the evolution of notothenioid red blood cell area plotted with and without icefishes. The solid line represents the observed disparity, and the dotted line is the evolution predicted by the BM model of evolution. The shaded gray area in the background represents the 95% confidence interval of the predicted evolution of disparity under the BM model of evolution. F) Disparity-through-time plots for the evolution of notothenioid red blood cell roundness plotted with and without icefishes. To investigate further how the red blood cell area changed over time across the different families, I utilized the dtt function in R to create disparity-through-time plots across the character, with one plot for area values with icefishes and another for the values without the icefishes. I made two separate plots to test whether the changes occurring in the cellular area were caused by icefishes or were occurring even without the icefishes. Looking at the disparity-through-time plots of area both the graphs plotted with icefishes and without the icefishes have a spike in disparity around 0.75 relative time, which is about 2.5 million years ago (Figure 8C). Looking at the phenogram, this time, which is fairly close to the present time (Figure 8B), seems to correspond to when sister species of red-blooded notothenioid species diversified from each other with some dramatically different cell areas, as shown by the many branches splitting off from common ancestors and particularly marked between the sister species pairs Trematomus bernacchii and T. hansoni, and Notothenia coriiceps and N. rossii (Figure 8B). The fact that this spike in disparity appears in both the plot with icefishes and the 32 one without icefishes tells us that this change in cellular area was occurring even without the icefishes' influence. Thus red-blooded notothenioid species have different RBC areas just as icefishes do. Both plots for RBC areas with icefishes or without icefishes had positive MDI values of 0.15 and 0.34 respectively with non-significant p-values of 0.76 and 0.95 respectively, suggesting that the RBC area in notothenioids is more pronounced within clades than between subclades (Figure 8C). The cellular area values appeared to have a large change in disparity as individual species begin to diversify within their families rather than in distant common ancestors. This suggestion is also reflected in the phenogram for cell area values (Figure 8B). Looking at the phenogram, you can see that when sorted by their cellular area values many of the different species from varying families are intermixed with one another, further showcasing that the amount of variability within the subclades is comparable to the amount of variability between clades (Figure 8B). The following undertaking for analyzing my cell size quantitative data was comparing the fit of each evolutionary model using the AICc. I found that the best fit for the area data both with and without the icefishes was the OU model (Figure 9A). This indicates that the area of RBCs in notothenioids evolved randomly and incrementally around an optimal value. In looking at the phenogram, it appears the optimal value is around 95 µm2 as this is the predicted ancestral value the majority of area measurements in the studied Antarctic notothenioid species vary around (Figure 8B). 33 34 Figure 9. Area and Roundness Model and Phylogenetic Signal Testing - A) Model testing of the Early Burst mode, Ornstein-Uhlenbeck model, and the Brownian motion model for the red blood cell area values both with and without the icefishes. B) Model testing of the Early Burst mode, Ornstein-Uhlenbeck model, and the Brownian motion model for the red blood cell roundness values both with and without the icefishes. C) Model testing for a phylogenetic signal of area values with Blomberg’s K and Pagel’s λ. The p-value for Blomberg’s K is based on 10000 randomizations and the p-value for Pagel’s λ is based on LR-test. Significant values (<0.05) are written in bold font. B) C) Model testing for a phylogenetic signal of roundness values with Blomberg’s K and Pagel’s λ. The p-value for Blomberg’s L is based on 10000 randomizations and the p-value for Pagel’s λ is based on LR-test. Significant values (<0.05) are written in bold font. To assess whether there is a significant phylogenetic signal in my data I calculated Blomberg's K and Pagel’s λ for cell area (Figure 9B). I found that neither the Blomberg’s K nor Pagel’s λ were significant for the cellular area data, indicating that there is not a phylogenetic signal in the evolution of this character. This means that the cellular area in our species is not correlated with their evolutionary relationships and closely related species do not tend to be more similar to one another than to distantly related species. This idea was also shown in our phenogram and disparity plots as I previously mentioned (Figure 8B & 8C), where there was a large amount of disparity and diversification closer to the present time and the species cellular area values diversified both between and within clades. However, even though the cellular area values between clades were not statistically significant there is still a trend for many species in the icefish and dragonfish families having larger cellular areas. Despite the two outliers (Parachaenichthys charcoti and Chaenodraco wilsoni), species in the icefish and dragonfish families generally grouped together because of their larger cellular areas (Figure 8B). 35 Evolution of red-blood cell roundness The RBCs of stereotypical fish are nucleated flat ovals (See image of Lepidonotothen squamifrons in Figure 7), but initial observations suggested that some notothenioids had more circular or even spherical RBCs. I initially started my analysis of the evolution of the cellular roundness values in the same 20 Antarctic notothenioid species I utilized for my analysis of cellular area. I reconstructed the ancestral state of the character across the species phylogeny using the contmap function in R. The contmap analysis returned a tree that displayed the evolution of red blood cell roundness using a color gradient. The gradient varied from high roundness values of 0.96 in blue to low roundness values (more oval) of 0.60 in red (Figure 8D). For visualization of the evolution of RBC roundness in the absence of the restrictions of a phylogenetic tree, I created a phenogram using my collected RBC roundness values (Figure 8E). I colored the names of the species families in the same manner with notothen species in red, plunderfishes in green, dragonfishes in purple, and icefishes in cyan. The visual representation of the evolution of red blood cell roundness in notothenioids revealed that icefishes and their closely related species of dragonfishes, specifically Parachaenichthys charcoti and Gymnodraco acuticeps, displayed round RBCs (Figure 8E). The average cellular values for roundness were 0.92 for icefishes, 0.80 for dragonfishes, 0.70 for plunderfishes, and 0.70 for notothens. This plot highlights the abnormal cellular roundness found in icefishes and their related species of dragonfishes compared to the oval RBCs in other species. One of the plunderfish species, Dolloidraco longedorsalis, appears to represent an intermediate value between the overall highly round RBC of icefishes and more oval RBC of notothens. However, it is important to note that there were some outliers to this statement. From the dragonfish family, Vomeridens infuscipinnis and Akarotaxis nudiceps displayed RBC that were more oval (Figure 8E). The species 36 Harpagifer antarcticus from the plunderfish family also displayed more oval RBC (Figure 8E). Thus, icefishes have very round RBC, dragonfish are split with some species having more round cells (Parachaenichthys charcoti and Gymnodraco acuticeps) and some having more oval cells (Vomeridens infuscipinnis and Akarotaxis nudiceps), and plunderfish and notothen RBCs displaying typical oval proportions (Figure 8E). The next step I took in inspecting how the RBC dimensions of roundness changed over time across the different families was to create a disparity-through-time plot across the character by utilizing the dtt function. Both disparity-through-time plots evolved fairly close to the dotted line predicative of the BM model of evolution, suggesting that cell roundness evolved in a random, unconstrained manner across the phylogeny. However, the plot for roundness without the icefishes appears to be evolving with a higher rate of disparity. It is interesting that the disparity is higher without the icefishes (MDI = 0.07) then with the icefishes (MDI = -0.04) because this indicates that it is not the icefish data causing the larger differences in roundness, but rather the red-blooded notothenioid lineages themselves (Figure 8F). This is also reflected in the phenogram for roundness, where there are variations in the roundness values within the families and between species such as in the dragonfish Parachaenichthys charcoti & Gymnodraco acuticeps and Vomeridens infuscipinnis & Akarotaxis nudiceps. Both the MDI values of the disparity-through-time plots for the cell roundness with the icefishes and without had non-significant p-values of 0.36 and 0.70 respectively (Figure 8F). This finding reflects the variations within the families and between species I listed above, which is shown in the phenogram where two dragonfish species have very round RBC (Parachaenichthys charcoti & Gymnodraco acuticeps averaging at 0.85) and two have more oval RBC (Vomeridens infuscipinnis & Akarotaxis nudiceps averaging at 0.66) (Figure 8E). When focusing on the two 37 dragonfish species with highly round RBC, these two dragonfish appear to be grouped together as having abnormally round values that are more similar to the icefishes and separate from the other lineages of notothens and plunderfishes (Figure 8E). Comparing the fit of each evolutionary model using the AICc was the subsequent step I took in analyzing my cell shape quantitative data. I found that the best fit for the roundness data with the icefishes was the BM model and the best fit for the roundness data without the icefishes was the OU model (Figure 9C). For the roundness data with icefishes, the BM model indicates that the notothenioid roundness values evolved randomly and incrementally in an unconstrained manner (Figure 9C). For the roundness data without the icefishes, the OU model indicates that the notothenioid roundness values evolved randomly and incrementally around an optimal value, presumably 0.75 for roundness since this is the reconstructed ancestral roundness value predicted at the base of the species studied and where the values appear to evolve around (Figure 8E & 9C). The distinction between the best fitting model for the two different data sets indicates that while the roundness values of the Antarctic species excluding the icefishes likely evolved around a set optimal value, the icefishes evolved outside of this constraint. This idea is also illustrated in the phenogram for cell roundness where there is a clear branching off of the icefishes occurring around 7.1 MYA that led them to have more round values than the rest of the Antarctic notothenioids (Figure 8E). This intense deviation of the icefish roundness values leads to them having a clear separation in their group in both the contmap color gradient scale and the roundness phenogram that is reflected in the distinct best fit model (Figure 8D, 8E, & 9C). The intensity of the deviation further supports the idea that two of the dragonfish species (Parachaenichthys charcoti and Gymbodraco acuticeps) evolved to have roundness values evidently more extreme than the majority of the other Antarctic fish species (Figure 8D & 8E). 38 I calculated Blomberg's K and Pagel’s λ for the cell roundness to assess whether there is a significant phylogenetic signal in my data (Figure 9D). I found that both Blomberg’s K and Pagel’s λ were significant for the cellular roundness that included icefishes but were non- significant for the cellular roundness data that did not include icefishes. This difference is important because it shows that when we include the roundness values for icefishes in our data set, closely related species are more similar to each other than to distantly related species, suggesting an outsized role of icefish species in this test. This is indicated by the clear separation of the icefish RBC high roundness values by their coloring in the contmap and their grouping in the phenogram plots (Figure 8D & 8E). However, when looking at the roundness values for the data excluding the icefishes, closely related species do not tend to be more similar to one another than to distantly related species. This is evident in the intermixing of species from different families in the phenogram for roundness, where the roundness values have variability within their subclades (Figure 8E). The differences for values of cell roundness become significant when the icefishes are taken into account as this creates more of a clear separation between the cellular roundness of the different families. Integration of red-blood cell area and roundness evolution After looking at the red-blood cell area and roundness values separately, my next endeavor was to explore how they evolved together. In order to merge the two characters into one plot I used the phylomorphospace function in phytools package to create a plot for the area and roundness using the same data I used in the previous two sections from 20 Antarctic notothenioid species. A phylomorphospace plot is highly useful for representing data from two or more continuous parameters in a visual way. In short, it is similar to a Principal Component Analysis on which species are linked by lines representing their phylogenetic relationships. It 39 gives a graphical representation of the changing morphology of two or more characters as they evolve in a group of related species. Here, one character, the cell area, is represented on the x- axis and the other, the cell roundness, on the y-axis. The black dots represent the internal nodes based on the phylogenetic tree given. In other words, it is the point where one or more branches of the tree meet, indicating the hypothetical common ancestor of certain species. The colored dots represent the tips, which indicates the individual species. Each colored point on the phylomorphospace plot represents a species character average and the distance between the points represents how alike or different the species are from one another based on the character values. The more closely the points are to one another the more similar the data values of the species are. For easier distinction in the Antarctic fish families, I have plotted the notothens in red, the plunderfishes in green, the dragonfishes in purple, and the icefishes in cyan (Figure 10). 40 Figure 10. Phylomorphospace of Red Blood Cell Area and Roundness - The morphological differences between various Antarctic notothenioids are illustrated on the phylomorphospace plot. The black dots represent the internal nodes based on the phylogenetic tree given. These are the points where more than one branch of the tree meet, indicating the hypothetical common ancestor of certain species. The different colored dots represent the different species, with notothens in red, plunderfishes in green, dragonfishes in purple, and icefishes in cyan. Located next to some of the dots are a cellular image of a representative cell from the species. The x-axis represents the area of the cells, ranging from 74 µm2 - 148 µm2 and the y-axis represents the roundness of the cells ranging from 0.60 - 0.96. Located on the x-axis are visual representations of the differences in cellular area between the low end and high end of the axis. Located on the y-axis for roundness are visual representations of the differences in cellular roundness between the low end and high end of the axis. 41 RBC area is represented on the x-axis with values ranging from 74 µm2 in Lepidonotothen squamifrons (notothen family) to values of 148 µm2 in Chaenocephalus aceratus (icefish family). The cellular roundness is represented on the y-axis with values ranging from 0.60 in Akarotaxis nudiceps (dragonfish family) to 0.96 in Chaenodraco wilsoni (icefish family) (Figure 10). Overall, the notothens are grouped near the bottom left, indicating that they have smaller RBC areas (averaging 91 µm2) and a more oval shape (averaging 0.7) (Figure 10). Lepidonotothen squamifrons and Trematomus bernacchii are notable outliers to the general notothen grouping (Figure 10). Lepidonotothen squamifrons is among the species having the most oblong RBCs (roundness of 0.65) and the species having the smallest RBCs (73.9 µm2). Trematomus bernacchii also has small RBCs compared to the rest of the notothens (74.6 µm2) but in contrast to Lepidonotothen squamifrons, Trematomus bernacchii produces RBCs that are among very round (0.83) (Figure 10). The family most closely related to the notothens is the plunderfishes, which appear similar to notothens on these characters because they are placed near the bottom left of the plot and grouped with the notothens (Figure 10). The plunderfishes have cell areas averaging at 92 µm2 and roundness averaging at 0.7, meaning their RBC are small and oval (Figure 10). In terms of roundness, the dragonfishes appear extremely variable with Akarotaxis nudiceps having RBCs that are the most oval cells observed among all studied cryonotothenioids, Vomeridens infuscipinnis having cells as oval as the majority of notothens and plunderfishes, and the other two species (Parachaenichthys charcoti & Gymnodraco acuticeps) having RBCs more round than notothens, especially Parachaenichthys charcoti (Figure 10). The area values of species Akarotaxis nudiceps, Vomeridens infuscipinnis, and Gymnodraco acuticeps are relatively grouped together around an average of 110.6 µm2, which is in the upper end of what was observed among red-blooded species. However, there is still some 42 variability as Parachaenichthys charcoti has much smaller cells than the other dragonfishes with an area of 87.6 µm2 (Figure 10). Overall, these measurements place the dragonfishes in between the notothens/plunderfishes and the icefishes on the plot, although their area and roundness values still more closely resemble the red-blooded Antarctic notothenioids than the icefishes (Figure 10). The icefishes are located near the upper portion of the graph throughout the upper middle and upper right area, indicating that the majority of them have large area values (averaging at 122 µm2) and large roundness values (averaging at 0.92) (Figure 10). However, the species Chaenodraco wilsoni is an outlier to this statement because although it has the largest roundness value of 0.96 it has a lower area value of 87.2 µm2, which is more similar to the red- blooded Antarctic notothenioids than the other icefishes (Figure 10). Overall, the phylomorphospace indicates that there is a clear distinction between the morphology of large and round immature red blood cells of icefishes and the smaller and oval red blood cells of the other Antarctic species, with cellular shape and size variability beginning to emerge in the dragonfish lineage that is phylogenetically closely related to the icefishes. Abnormally Located Nuclei in Antarctic Notothenioids While utilizing cellular microscopy to quantify differences in cellular area and cellular roundness I noticed abnormalities in the position of the nuclei in some of the Antarctic notothenioids. Not only do a few of the dragonfish species closely related to icefishes display abnormally large (Akarotaxis nudiceps & Gymnodraco acuticeps) and/or abnormally round red blood cells (Parachaenichthys charcoti & Gymnodraco acuticeps), but the nuclei of their red blood cells also appear off-centered (Figure 8B, 8E, & 10). To better understand these differences, I utilized cellular microscopy of blood smears from various red-blooded Antarctic notothenioid fishes collected by my lab to count the number of cells in each species that had 43 centered nuclei and that had off-centered nuclei among a minimum of 500 cells per species. After collecting data on the nuclei placement, I found that many species closely related to icefishes had a large portion of off-centered nuclei placements. I first used the contmap function to analyze the evolution of nuclei placement in the RBCs of 13 Antarctic notothenioid species (including 7 notothens, 2 plunderfishes, and 4 dragonfishes). Icefishes were excluded from this analysis due to the rarity and lack of mature red blood cells in their blood. Immature red blood cells, whether from red-blooded or white-blooded species, typically have abnormally large and off-centered nuclei so I excluded them from my analysis and only scored mature cells with compact nuclei. The contmap analysis provided a tree conveying the evolution of the proportion of centered nuclei in the species' blood using a color gradient. The gradient varied from high proportions of centered nuclei (~98.7%) in blue to low proportions of centered nuclei (~14.4%) in red (Figure 11A). To help identify the different Antarctic notothenioid families, I placed the species more closely related to icefishes (plunderfishes and dragonfishes) in bold font (Figure 11A). I also included microscopic images of three species (the notothen Trematomus eulepidotus, the plunderfish Dolloidraco longedorsalis, and the dragonfish Gymnodraco acuticeps) in order to help with the visualization of this character (Figure 11A). To showcase the evolution of the changing proportions of centered nuclei without the limitations of a phylogenetic tree, I created a phenogram using the proportions of centered and off-centered nuclei in various Antarctic notothenioid species (Figure 11B). To assist with the identification of the distinct Antarctic notothenioid families I followed the same color scheme utilized in the previous sections, with notothens written in red, plunderfishes in green, and dragonfishes in purple (Figure 11B). Both visual depictions of the evolution of the proportion of centered nuclei in notothenioids revealed that many species 44 closely related to icefishes display abnormally low proportions of centered nuclei and thus a higher proportion of off-centered nuclei (Figure 11B). Three of the four dragonfish species (Gymnodraco acuticeps, Parachaenichthys charcoti, & Vomeridens infuscipinnis) and one of the two plunderfish species (Dolloidraco longedorsalis) I analyzed displayed abnormally low proportions of centered nuclei with values ranging from 14.4% (Vomeridens infuscipinnis) to 22.2% (Gymnodraco acuticeps) (Figure 11B). The two outliers to this statement were the dragonfish Akarotaxis nudiceps with a value of 76.0% centered nuclei and the plunderfish Harpagifer antarcticus with a value of 85.0% centered nuclei (Figure 11B). Both of the two aforementioned species had high proportions of centered nuclei similar to the notothens, which had an average of 82.0% percent of centered nuclei and ranged from 59.6% (Trematomus bernacchii) to 98.7% (Gobionotothen gibberifrons) (Figure 11B). These analyses display a clear separation between the high proportions of centered nuclei in the notothens and the low proportions of centered nuclei in one of the plunderfishes and the majority of studied dragonfishes (which are evolutionarily closely related to icefishes). 45 46 Figure 11. Abnormally Located Nuclei in Antarctic Notothenioids - A) Ancestral state reconstruction of proportion of centered nuclei in Antarctic fish using the contmap function and a color gradient with red representing low proportion (~14.4%) and blue representing high proportions (~98.7%). Located to the left of the plot are microscopic images of cells from the species Trematomus eulepidotus (top image - possessing centered cells), Dolloidraco longedorsalis (middle image - possessing mainly off-centered cells), and Gymnodraco acuticeps (bottom image - possessing mainly off-centered nuclei). The species closer in evolutionary relationship to icefishes (dragonfish and plunderfish families) are written in bold font. B) Phenogram based on the proportion of centered nuclei values of various Antarctic fish species. Notothen species names are in red, plunderfishes are in green, dragonfishes are in purple, and icefishes are in cyan. The line through the middle represents the threshold of 50% used to classify a species as having centered cells or off-centered cells. C) Based on the 50% threshold in the proportion of centered nuclei data, species were classified as having either centered or off-centered cells. Each node marks the likelihood that the ancestral nucleus placement was either centered (black) or off-centered (pink). The final nodes next to the species names represent the present classification of the species as having centered or off-centered nuclei. D) Disparity-through-time plot for the evolution of notothenioid proportions of centered nuclei. The solid line represents the observed disparity, and the dotted line is the evolution predicted by the BM model of evolution. The shaded gray area in the background represents the 95% confidence interval of the predicted evolution of disparity under the BM model of evolution. E) Model testing of the Early Burst model, Ornstein-Uhlenbeck model, and the Brownian motion model for the proportion of centered nuclei values F) Model testing for a phylogenetic signal with Blomberg’s K and Pagel’s λ. The p- value for Blomberg’s L is based on 10000 randomizations and the p-value for Pagel’s λ is based on LR-test. Significant values (<0.05) are written in bold font. On the phenogram for the proportion of centered nuclei, I placed a dashed gray line to indicate the threshold of 50% centered nuclei used to determine if the species had mainly centered or off-centered nuclei (Figure 11B). This threshold was used to characterize the nucleus placement in the various families as a discrete character. After classifying the nucleus placement as a discrete character, I made an ancestral state reconstruction of the nucleus placement to analyze how this trait evolved over time using the function phenogram from the phytools package (Figure 11C). I forced the first node on the tree to be black, assuming that the first 47 ancestor to the Antarctic notothenioids had centered cells because this is the normal case in all fishes (Claver & Quaglia, 2009) (Figure 11C). The rest of the nodes display a prediction of the ancestral state of the species as they branched off from each other. The black portion of the nodes represents the likelihood the ancestor had mainly centered cells and the pink portion of the nodes represents the likelihood the ancestor had mainly off-centered cells (Figure 11C). This tree shows a clear distinction between the evolution of nucleus placement in notothens (where all have centered nuclei) and the evolution of nucleus placement in the plunderfish and dragonfish families (where most have off-centered nuclei) (Figure 11C). There appears to be a switch from centered nuclei to off-centered nuclei in the plunderfishes, with Harpagifer antarcticus classified as having centered nuclei and Dolloidraco longedorsalis classified as having off-centered nuclei (Figure 11C). All except one of the dragonfishes (Akarotaxis nudiceps) have off-centered nuclei as well (Figure 11C). This highlights the abnormalities that arise in nucleus placement in species evolutionarily most closely related to the icefishes (specifically, the plunderfish and dragonfish families). To further explore how the proportion of centered nuclei changed over time across the different families, I utilized the dtt function to generate a disparity-through-time plot of the character. Looking at the disparity-through-time plot of the proportion of centered nuclei (Figure 11D), it is noticeable that the disparity is slightly higher than the dotted line (which predicts disparity based on the Brownian motion model). However, the observed disparity does remain within the confidence interval of the BM model of evolution, meaning that the proportion of centered nuclei in our notothenioid dataset largely evolved in a random, unconstrained manner across the phylogeny. Furthermore, our proportion of centered nuclei MDI value of 0.19 with a non-significant p-value of 0.78 suggests that proportion of centered nuclei in notothenioids 48 varied as much between subclades as within clades. This is apparent in the large variation of centered nuclei proportions observed in the plunderfish and dragonfish families where two species (Harpagifer antarcticus & Akarotaxis nudiceps) are separated from their families and mixed in with the proportion of centered nuclei averages characteristic of the notothens (Figure 11B). Next, I compared the fit of each of the three evolutionary models to the data using the AICc. In the case of the proportion of centered nuclei, since the Brownian Motion model has the lowest AICc value it is the best at predicting the proportion of centered nuclei evolution in notothenioids (Figure 11E). Thus, this further indicates that the proportion of centered nuclei evolved randomly, incrementally, and in an unconstrained manner among the studied species. Finally, to assess whether there is a significant phylogenetic signal in my data, I calculated Blomberg's K and Pagel’s λ to estimate the strength of the phylogenetic signal in my data set relative to what is expected with Brownian motion. Based on my model testing on the proportion of centered nuclei data (Figure 11F), I found that neither Blomberg’s K nor Pagel’s λ were significant, suggesting that there is not a phylogenetic signal in the evolution of the proportion of centered cells in my data. This indicates that the evolution of the proportion of centered nuclei in the observed species is not strongly correlated with their evolutionary relationships and that closely related species may be more distinct to one another than to distantly related species. This is apparent when looking at the phenogram of centered nuclei (Figure 11B), where although the majority of the dragonfishes are grouped near the bottom of the plot, there is an outlier intermixed with the notothens. A similar trend is observed in the plunderfishes where although one species is placed at the bottom of the phenogram (Dolloidraco longedorsalis) due to its low proportion of centered nuclei, the other plunderfish (Harpagifer 49 antarcticus) is intermixed with the notothens due to its high proportion of centered nuclei (Figure 11B). Thus, there is a small group of species evolutionarily closely related to icefishes (in the plunderfish and dragonfish family) that are distinct from other species in their family and outside of the normal center nuclei placement of mature red blood cells (Figure 11B & 11F). 50 Discussion While it is known that icefishes have abnormal blood composition due to their lack of mature red blood cells (RBCs) and hemoglobin (Beck et al., 2022), little to no research has been done on the specific morphology of their remaining immature RBCs outside a few analyses observing only a few species at a time (e.g., Spillman & Hureau, 1967). Research into the blood morphology of their Antarctic red-blooded relatives is also mostly lacking. The scientific literature on icefish blood has mainly focused on the physiological adaptations (such as a larger heart and increased cardiac output) that have developed in the Antarctic notothenioids and specifically in the icefishes to compensate for their lack of RBC production (Eastman, 1993; di Prisco et al., 2007; Verde et al., 2006; Matschiner et al., 2015), but there has not yet been much investigation into the characterization of erythropoiesis arrest in icefishes and the steps that led to it, outside of one study on the evolution of erythropoietic genes in notothenioids (Daane et al., 2020). However, there is still much to be discovered about the changes that occurred in the icefish ancestor to cause the loss of hemoglobin genes and RBC maturation, specifically concerning which of the two might have happened first. If the loss of hemoglobin genes occurred first in the icefish ancestor, then the RBC would have become mostly useless without their oxygen-carrying unit and thus could have triggered the arrest of RBC maturation. Inversely, if RBC maturation was detrimentally altered first then the blood cells would potentially be unable to transport oxygen and thus the hemoglobin genes could have become unnecessary. By looking at the close Antarctic relatives to icefishes I hoped to find evidence for my research question of whether the loss of RBC production could have triggered the loss of hemoglobin, or inversely, if the loss of hemoglobin genes triggered the arrest of RBC production in icefishes. 51 Can discontinuing RBC production be energetically advantageous? The Antarctic waters remain close to freezing temperatures year-round (at about negative 1.8℃ for sea water), which has a well-known adverse effect on blood flow (Egginton, 1955; Hureau, 1977; Wells et al., 1989; Near et al., 2006; Sidell & O’Brien, 2006). Frigid temperatures present a problem for cardiovascular systems as delivery of oxygen to tissues may be impaired by the high viscosity of bodily fluids (Wells et al., 1989). Thus, it could be beneficial to reduce the overall blood proportion (hematocrit) in Antarctic species so that it is less viscous and facilitates blood flow. Polar fishes typically possess lower hematocrits than warmer-bodied fishes and even temperate zone species decrease their hematocrit during winter months (Powers, 1974; Scholander & Van Dam, 1957; Sidell & O’Brien 2006). Hence, it is reasonable to wonder if diminishing the level of hematocrit and RBCs in icefishes would be a beneficial adaptation for the Antarctic environment. Along this line of thinking, a decrease in cell proportions and the eventual loss of RBC maturation would lower the amount of energy needed to push the blood throughout the body. As shown in my data, icefish have significantly lower hematocrit values (values ranging from 1.23% to 2.58%) than the red-blooded Antarctic notothenioid (values ranging from 12.4% to 39.0%) (Figure 6). If the hypothesis that a loss of RBC production is energetically favorable is true, then we would likely see a continuous reduction in hematocrit in lineages phylogenetically similar to the icefish family. In looking at my data, species belonging to the dragonfish family (Racovitizia glacialis, Akarotaxis nudiceps, & Vomeridens infuscipinnis) do appear to have the lowest hematocrit outside of the icefish family (values ranging from 12.4% in Vomeridens infuscipinnis to 17.1% in Gerlachea australis) (Figure 6). However, there are also notothens with lowered hematocrit values (ranging from 14.0% Aethotaxis mitopteryx to 19.5% in Trematomus pennellii) and dragonfish with high hematocrit 52 values (ranging from 20.0% in Bathydraco macrolepis to 29.5% in Parachaenichthys charcoti) (Figure 6). Furthermore, the range of hematocrit values does appear to mostly range from 12% to 26%, with some species from various families presenting at higher levels, so dragonfish do not have abnormally low values compared to the other species (Figure 6). Due to the wide variation of hematocrit values occurring in species from the same family, the red-blooded Antarctic notothenioids do not appear to be experiencing a reduction in hematocrit as species get evolutionarily more closely related to icefishes (Figure 6). The significant Blomberg’s K and Pagel’s λ value found for my hematocrit data, indicates that closely related species have more similar hematocrit values than to distantly related species and is reflective of the clear distinction between the icefishes and the rest of the lineages but does not indicate that families evolutionary more similar to icefishes begin to experience lowered hematocrit (Figure 6). Additionally, since Antarctic notothenioids already present a generally lowered hematocrit, reduced hemoglobin concentrations, and lowered hemoglobin affinity for oxygen compared to other warmer environment fishes (Desvignes et al., 2023; Eastman, 1993; di Prisco et al., 2007; Verde et al., 2006), the need to reduce hematocrit further by eliminating RBC maturation may not have been necessary. Moreover, even though the lack of RBCs in icefishes causes their blood to be reduced to half the viscosity of the red-blooded notothenioid blood (Twelves, 1972), the notothenioid plasma already has a lower viscosity than both human and icefish plasma (Wells, 1990) which may already compensate for this difference. Also, due to their frigid environment, the Antarctic waters have almost 100% oxygen saturation (Verde et al., 2006), which may be another reason why having more viscous blood may not present a large problem if the Antarctic fish already have an abundance of oxygen available and thus do not need to move blood around as quickly. (Egginton, 1996). Therefore, there appears to be a lack of 53 evidence for a complete reduction in RBC being advantageous (Wells, 1990; Egginton, 1996; Sidell & O’Brien., 2006). Another question to be asked is: if a reduced hematocrit and lack of RBC maturation were indeed a beneficial adaptation then why are other adaptations needed to compensate for the loss? There are many energetically expensive physiological differences that developed in icefish, such as very large hearts compared to other red-blooded fishes of comparable body size (Sidell & O’Brien, 2006). Their increased heart size is necessary to pump their increased blood volume throughout their large blood vessels and extended capillary network, which are all physical modifications icefish have evolved (Desvignes et al., 2023). Altogether, the cardiac output of icefishes is four- to five times greater than that of red-blooded species of similar size (Sidell & O’Brien, 2006). These physiological differences seen in icefishes may be evidence that such energetically expensive adaptations were necessary to compensate for RBC loss and thus indicate that the detrimental effects of losing RBC outweigh any possible benefits a reduction in viscosity would bring. Furthermore, if the loss of hemoglobin genes and mature RBC in icefish was adaptive then it raises the question of why have no other lineages evolved a similar eradication? Therefore, the required adaptations needed to compensate for a lack of RBCs in icefishes and the lack of occurrence of this loss in other Antarctic notothenioid lineages means it is unlikely that the lack of RBC was an advantage over the other notothenioids, and the loss was probably maladaptive but occurred because of other reasons. If maladaptive, why did RBC production become discontinued? Due to the unlikelihood of icefishes stopping RBC production under the motivation that it was more energetically favorable, it is important to hypothesize other theories for why the loss of RBC production and hemoglobin genes occurred as well as the steps that led to this arrest. When 54 looking at my data, I noticed that some species closely related to icefishes have RBCs resembling cells characteristics of the human diseases’ spherocytosis and elliptocytosis. As seen in the literature work conducted by Daane (Daane et al., 2020) and Martins (Martins et al., 2021), “normal” fish RBCs are typically relatively small (with a mean cell area of 76.64 µm2 (Martins et al., 2021)) and oval (there is a lack of quantitative values in the literature but the notothens and plunderfish in my data averaged at 0.7 roundness (Figure 8 & 10)). The majority of the fish in my analyses had a slightly larger cellular area than the indicated value, with notothens averaging at 91 µm2 and plunderfishes averaging at 92 µm2 (Figure 8), but they still maintain the standard features of a small area and oval shape, especially exemplified in the notothens Trematomus bernacchii (with a cellular area of 73.9 µm2 and a roundness of 0.71) and Lepidonotothen squamifrons (with a cellular area of 74.6 µm2 and a roundness of 0.65) (Figure 8 & 10). The plunderfishes also had relatively “normal” looking cells, similar to the notothens, as seen in the species Dolloidraco longedorsalis (cellular area of 91.8 µm2 and a roundness of 0.76) and Harpagifer antarcticus (cellular area of 91.9 µm2 and a roundness of 0.65) (Figure 8 & 10). However, in the dragonfish family, which is phylogenetically most closely related to icefish, variability in the cellular morphology is important. For instance, the cells in Gymnodraco acuticeps have a large area (108.4 µm2) and a slightly higher than average roundness (0.80), Akarotaxis nudiceps cells are the largest cells (116.0 µm2) and also the most oblong (roundness value of 0.60), and in contrast Parachaenichthys charcoti cells are relatively small and the most round (0.90). Therefore, some of the dragonfish species begin to have cells resembling the quite large and round immature RBCs of icefish. Furthermore, the abnormalities present in the cells of the species Akarotaxis nudiceps (which are very large and ovular) resemble the human disease 55 elliptocytosis and cells of the species Parachaenichthys charcoti (which are very round) resemble the human disease spherocytosis. The aforementioned human diseases of spherocytosis and elliptocytosis, which resemble the abnormal cellular morphology found in some dragonfish species, are often caused by genetic mutations that lead to improper formation of the cellular membrane. The genetic defects causing these two human diseases typically occur in the shared locations of α-spectrin and β-spectrin in the SPT1A and SPTB genes, which both play major roles in the shaping and stability of the RBC membrane (Perrotta et al., 2008; Zivot et al., 2017; He BJ et al., 2018). Additionally spherocytosis can also be caused by defects in Ankyrin 1 (in the gene ANK1 – which affects the attachment of the transmembrane proteins to the cell membrane skeleton) and/or the band 3 protein (in the gene SLC4A1 – which affects the linkages to ankyrin and the cytoskeleton network) (Perrotta et al., 2008; Zivot et al., 2017; He BJ et al., 2018). All of the aforementioned mutations affect the cell membrane of the cytoskeleton which leads to malformed cells that have increased fragility and are more susceptible to bursting (Perrotta et al., 2008; Zivot et al., 2017; He BJ et al., 2018). The similarities between the abnormally formed RBC in certain dragonfish species and those formed in the aforementioned human diseases raise the question: could dragonfish be suffering from the same genetic mutations underlying those in elliptocytosis and spherocytosis? Furthermore, could additional genetic mutations have accumulated in the cytoskeleton genes of the icefish ancestors, making them even more fragile and leading to detrimentally high levels of hemolysis? Another abnormality I observed in the cells of Antarctic notothenioid closely related to icefishes is an improper placement of the cell nuclei, which could be indicative of a genetic mutation in the intracellular cytoskeleton. In addition to having a smaller area and an oval shape, 56 “normal” fish RBCs also stereotypically have a nucleus located in the middle of the RBC (Fig. 3, Martins et al., 2020). However, I noticed that some dragonfish and plunderfish species I analyzed had off-centered nuclei rather than the expected centered nuclei (Figures 10 & 11). This is a finding that has never been noticed before, although it is visible in one scientific paper (Daane et al., 2020). Furthermore, there is no literature on RBC nuclei placement in human RBC because they are enucleated, so we do not know if abnormally placed nuclei are detrimental to the function of RBC. However, there is evidence that in some cell types a poorly placed nucleus may be pathogenic, such as in the photoreceptor when the NESPRIN genes (specifically SYNE2/Nesprin2) and LINC complex proteins are mutated (Razafsky et al., 2012; Maddox et al., 2015). The SYNE2/Nesprin2 gene is a component of the linker of nucleoskeleton and cytoskeleton (LINC) complexes and performs a role in joining the nucleus to the cytoskeleton (Maddox et al., 2015). When mutations arise in NESPRIN genes and disrupt the LINC complex function then normal retinal function is altered (Razafsky et al., 2012). Thus, mislocalization of the nuclei could possibly disrupt neuronal functions and underlie both human retinal diseases and progressive neuronal disorders (Razafsky et al., 2012; Maddox et al., 2015). Consequently, it is possible that abnormally placed nuclei in RBCs of fish may decrease or alter their normal function as well. Moreover, the abnormally off-centered placement of the cell nuclei in certain species (belonging to the dragonfish and plunderfish families) suggests they may have mutations in the genes controlling nuclei placement. It is therefore possible that the genes/proteins controlling nuclei placement also influence the cellular shape and capability to handle deformations when traveling through capillaries, such as the disadvantages genetic mutations occurring in elliptocytosis and spherocytosis. Although we do not yet know whether the abnormal nuclei placement is pathogenic, this observation suggests that some alterations to RBC 57 maturation began in the common ancestor of plunderfish, dragonfish, and icefish. Additionally, the timing of the arising abnormalities also corresponds to when hemoglobin multiplicity in Antarctic notothenioids went from one major hemoglobin and on to three minor hemoglobins to a single hemoglobin isoform in adult plunderfishes and dragonfishes (Desvignes et al., 2023). Could these two timings be related to each other or are they purely coincidental? This new finding raises the question of whether or not genetic mutations in closely related species to icefishes began to accumulate until the cells started to present such extreme deformities that it was energetically more favorable to completely get rid of the RBC maturation process and hemoglobin genes then to try to fix the genes. 58 Conclusion To wrap up my findings, I found that there is a significant distinction between the hematocrit and blood composition found in red-blooded notothenioid and the icefish; I noticed that larger RBC area and RBC roundness begin to arise in species from the dragonfish family; and lastly, I observed abnormally placed nuclei in species belonging to the plunderfish and dragonfish families (Figures 1-6). In my discussion, I also argue that although the low hematocrit observed in the icefish may have been beneficial in reducing blood viscosity, the adaptations needed to offset the loss of hemoglobin and RBCs were energetically costly and likely offset any advantages obtained. Thus, the loss of RBCs and hemoglobin in icefish was indeed likely maladaptive. The abnormal cellular area and roundness that arise in certain dragonfish species resemble cells in humans suffering from pathogenic diseases such as hereditary spherocytosis and elliptocytosis, which are caused by genetic mutations affecting the cellular membrane. The abnormally located nuclei in some plunderfish and dragonish species resemble the mislocalization of nuclei occurring in photoreceptors due to genetic mutations and having pathogenic effects. We do not yet know whether the alterations to the nuclei placement in fish red blood cells alter cell function but based on the consequences arising in photoreceptors, it has the potential to be detrimental. Therefore, it is possible that the dragonfish and plunderfish species developed multiple genetic mutations affecting their cellular membrane and cytoskeleton, which led to the abnormally large area and roundness observed in some dragonfish species and the off-centered nuclei I observed in several dragonfish and plunderfish species. When genetic defects cause RBCs to develop abnormal cellular shape (such as large area, large roundness, or being very ovular) these mutations often occur in the cell membrane, leading to 59 weaker membranes more inclined to the cell breaking and releasing hemoglobin into the blood (hemolysis) (Barcellini et al., 2011). Furthermore, the bigger and the more round a RBC is, the more difficult it is for these cells to fit through capillaries and efficiently transport blood, often leading to malformed cells being squeezed and bursting in the process (Barcellini et al., 2011). When cells undergo hemolysis and rupture in the bloodstream, hemoglobin is then released and freely floats into the blood plasma (Barcellini et al., 2011). Under normal conditions in RBCs, hemoglobin is a heterotetramer made up of two alpha- and two beta-globin chains, but when it is dissolved directly in the blood plasma it dissociates into heterodimers, which are toxic for organisms (Vallelian et al., 2022). The dimers can be translocated across tissue barriers and negatively impact critical organs and muscles, eventually leading to vasoconstriction and renal injury (Vallelian et al., 2022). Thus, the aforementioned mutations may have accumulated and gotten worse in the icefish ancestor until RBC were completely incapable of traveling throughout the body to deliver oxygen without bursting and poisoning the organism. Under these circumstances, if RBC were incapable of holding hemoglobin due to instability in the RBC cell membrane then it may have been better to completely get rid of the hemoglobin genes rather than experience the constant toxicity of the blood upon hemolysis. Under this hypothesis, the best option for survival would have been for icefish to completely rid themselves of the hemoglobin genes rather than trying to fix them, which is evolutionarily unlikely. Furthermore, if the genes were “broken” before the loss of RBC then the heterodimers would likely not have formed in the first place, which means there would have been no toxicity and thus no need for the icefish to lose their RBCs. Thus, the RBC maturation process was likely altered to the point of being detrimental and unfunctional due to genetic mutations, which triggered the arrest of hemoglobin genes in the icefish ancestor. This maladaptive phenotype of stopping RBC maturation and 60 eliminating hemoglobin genes, which requires many energetically unfavorable physiological compensatory adaptations, may have been the only way for icefish to survive. Likely, the only reason that icefish remained alive in the evolution of this maladaptive phenotype is because of the high oxygen saturation of the Antarctic waters and their extremely limited amount of niche competition (Sidell & O’Brien, 2006); without these unique circumstances the species presumably would have gone extinct. Since I have found connections between the cellular morphology characteristic of the human diseases hereditary elliptocytosis and spherocytosis and the cellular abnormalities arising in the dragonfish species, a future direction of research to pursue is a deeper analysis of the genetic similarities underlying those diseases in humans and the genes found in icefish. In taking a closer look at the genetic similarities between the cellular abnormalities more research may lead to further classification of the genetic mutations likely arising in lineages phylogenetically close to icefishes and leading to the eventual arrest of RBC production. Furthermore, icefishes are an evolutionary mutant model that could be highly beneficial for observing and characterizing anemias in humans, possibly leading to better therapeutics in the future if more information on the genetics involved are obtained. A second future direction to pursue based on my research would be taking a closer look at the RBC maturation process in Antarctic species. By investigating the RBC maturation process more closely, research may reveal when anomalies arise, which could provide more information on the loss of RBC in icefishes and potentially the timing involved. Overall, due to the fascinating blood morphology of icefishes, looking more closely at their phylogenetically related species may provide even more information into the strange evolution of these Antarctic fish and ultimately lead to discoveries relevant to human diseases as well. 61 Bibliography Barber, D.L. et al. (1981) The blood cells of the Antarctic icefish Chaenocephalus aceratus Lönnberg: light and electron microscopic observations. J. Fish Biol. 19, 11–28 Beck, E. A., Healey, H. M., Small, C. M., Currey, M. C., Desvignes, T., Cresko, W. A., & Postlethwait, J. H. (2022). 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