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A model-based approach for identifying signatures of ancient balancing selection in genetic data.

ABSTRACT: While much effort has focused on detecting positive and negative directional selection in the human genome, relatively little work has been devoted to balancing selection. This lack of attention is likely due to the paucity of sophisticated methods for identifying sites under balancing selection. Here we develop two composite likelihood ratio tests for detecting balancing selection. Using simulations, we show that these methods outperform competing methods under a variety of assumptions and demographic models. We apply the new methods to whole-genome human data, and find a number of previously-identified loci with strong evidence of balancing selection, including several HLA genes. Additionally, we find evidence for many novel candidates, the strongest of which is FANK1, an imprinted gene that suppresses apoptosis, is expressed during meiosis in males, and displays marginal signs of segregation distortion. We hypothesize that balancing selection acts on this locus to stabilize the segregation distortion and negative fitness effects of the distorter allele. Thus, our methods are able to reproduce many previously-hypothesized signals of balancing selection, as well as discover novel interesting candidates.

SUBMITTER: DeGiorgio M

PROVIDER: S-EPMC4140648 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature

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A model-based approach for identifying signatures of ancient balancing selection in genetic data.

DeGiorgio Michael M Lohmueller Kirk E KE Nielsen Rasmus R

PLoS genetics 20140821 8

While much effort has focused on detecting positive and negative directional selection in the human genome, relatively little work has been devoted to balancing selection. This lack of attention is likely due to the paucity of sophisticated methods for identifying sites under balancing selection. Here we develop two composite likelihood ratio tests for detecting balancing selection. Using simulations, we show that these methods outperform competing methods under a variety of assumptions and demo ...[more]

PMID: 25144706

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Project description:Bacterial lineages that populate the human gut microbiota contend with spatial and temporal fluctuations in numerous environmental variables, including bouts of extreme selective agents such as antibiotics. Oscillations in the adaptive landscape can impose balancing selection on populations, leaving characteristic signatures in the sequence variation of functionally significant genomic loci. Despite their potential importance for gut bacterial adaptation, the metagenomic targets of balancing selection have not been identified. Here, I present population genetic evidence that balancing selection maintains allelic diversity in multidrug efflux pumps of multiple predominant gut bacterial species. Metagenome-wide scans of 566,958 genes from 287 bacterial species represented by 118,617 metagenome-assembled genomes indicated that most genes have been conserved by purifying selection. However, dozens of core open reading frames (CORFs) displayed positive Tajima's D values that deviated significantly from their species' genomic backgrounds, indicating the action of balancing selection. Multidrug efflux pumps (MEPs) from a diversity of bacterial species were significantly enriched among the CORFs with Tajima's D values >3 in industrialized, but not nonindustrialized, human populations. The AcrB subunit of an MEP from Bacteroides dorei displayed the highest Tajima's D of any CORF. Divergent haplotypes of this CORF displayed evidence of positive selection and homology to an Escherichia coli AcrB subunit that binds tetracycline and macrolide antibiotics, suggesting functional significance and implicating medical antibiotics as an agent of selection acting on this locus. Other proteins identified as targets of balancing selection included peptidoglycan/LPS O-acetylases and ion transporters. Intriguingly, the degree of balancing selection acting on gut bacterial species was associated with species abundance in the gut based on metagenomic data, further suggesting fitness benefits of the allelic variation identified.

Dataset Information

A model-based approach for identifying signatures of ancient balancing selection in genetic data.

Publications

A model-based approach for identifying signatures of ancient balancing selection in genetic data.

Similar Datasets

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