Journal
GENOME BIOLOGY AND EVOLUTION
Volume 14, Issue 1, Pages -Publisher
OXFORD UNIV PRESS
DOI: 10.1093/gbe/evab116
Keywords
microbiome; population genetics; comparative population genetics; microbial evolution
Categories
Funding
- NSF Postdoctoral Research Fellowships in Biology Program [2010885]
- Direct For Biological Sciences
- Div Of Biological Infrastructure [2010885] Funding Source: National Science Foundation
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Genetic variation in the human gut microbiome plays a crucial role in various phenotypes. However, our understanding of its origins and maintenance is limited. By comparing evolutionary processes across different species, we can identify universal trends and deviations. The human gut microbiome offers unparalleled potential for comparative population genomics studies.
Genetic variation in the human gut microbiome is responsible for conferring a number of crucial phenotypes like the ability to digest food and metabolize drugs. Yet, our understanding of how this variation arises and is maintained remains relatively poor. Thus, the microbiome remains a largely untapped resource, as the large number of coexisting species in the microbiome presents a unique opportunity to compare and contrast evolutionary processes across species to identify universal trends and deviations. Here we outline features of the human gut microbiome that, while not unique in isolation, as an assemblage make it a system with unparalleled potential for comparative population genomics studies. We consciously take a broad view of comparative population genetics, emphasizing how sampling a large number of species allows researchers to identify universal evolutionary dynamics in addition to new genes, which can then be leveraged to identify exceptional species that deviate from general patterns. To highlight the potential power of comparative population genetics in the microbiome, we reanalyze patterns of purifying selection across similar to 40 prevalent species in the human gut microbiome to identify intriguing trends which highlight functional categories in the microbiome that may be under more or less constraint.
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