Trait biases in microbial reference genomes

dc.contributor.authorAlbright, Sage
dc.contributor.authorLouca, Stilianos
dc.date.accessioned2023-03-03T01:30:55Z
dc.date.available2023-03-03T01:30:55Z
dc.date.issued2023
dc.description17 pagesen_US
dc.description.abstractCommon culturing techniques and priorities bias our discovery towards specific traits that may not be representative of microbial diversity in nature. So far, these biases have not been systematically examined. To address this gap, here we use 116,884 publicly available metagenome-assembled genomes (MAGs, completeness ≥80%) from 203 surveys worldwide as a culture-independent sample of bacterial and archaeal diversity, and compare these MAGs to the popular RefSeq genome database, which heavily relies on cultures. We compare the distribution of 12,454 KEGG gene orthologs (used as trait proxies) in the MAGs and RefSeq genomes, while controlling for environment type (ocean, soil, lake, bioreactor, human, and other animals). Using statistical modeling, we then determine the conditional probabilities that a species is represented in RefSeq depending on its genetic repertoire. We find that the majority of examined genes are significantly biased for or against in RefSeq. Our systematic estimates of gene prevalences across bacteria and archaea in nature and gene-specific biases in reference genomes constitutes a resource for addressing these issues in the future.en_US
dc.identifier.citationAlbright, S., Louca, S. Trait biases in microbial reference genomes. Sci Data 10, 84 (2023). https://doi.org/10.1038/s41597-023-01994-7en_US
dc.identifier.urihttps://doi.org/10.1038/s41597-023-01994-7
dc.identifier.urihttps://hdl.handle.net/1794/28048
dc.language.isoenen_US
dc.publisherNature Communicationsen_US
dc.rightsCreative Commons BY-NC-ND 4.0-USen_US
dc.subjectMicrobiology techniquesen_US
dc.subjectMicrobial ecologyen_US
dc.subjectBiodiversityen_US
dc.titleTrait biases in microbial reference genomesen_US
dc.typeArticleen_US

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