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Laurin, P. J.

Publications and source records attributed to Laurin, P. J..

2 recordsLinked to original sources

Complex adaptive architectures constrain the pace of adaptations sweeping across human gut microbiomes

Recent work has shown that commensal gut bacteria can evolve rapidly within hosts on short timescales of days to months, fueled by the enormous mutational input generated daily in the microbiome. Yet how rapidly adaptations spread across gut microbiomes of different hosts remains unclear. We address this question by estimating the number of independent origins of gene-specific sweeps spreading via recombination across bacterial populations. Multiple origins (soft sweeps) indicate that adaptive mutations arise rapidly whereas one origin (hard sweeps) indicate slower mutational input. Contrary to expectations of rapid adaptation, we find that many gene-specific sweeps have only one or a few origins. We show that this requires that sweeps arise from adaptive mutation rates orders of magnitude lower than single base pair mutation rates. This implies that gene-specific sweeps bear difficult-to-mutate complex adaptations such as structural or epistatic variants. Consistent with this interpretation, we find that identified sweep regions exhibit patterns of nucleotide diversity and linkage disequilibrium inconsistent with a single adaptive mutation rising to high frequency. We conclude that recombination across human gut microbiomes enables the spread of adaptations with complex genetic architectures that otherwise would require a long waiting time to generate de novo within an individual host.

evolutionary biology↗

Genome-wide association mapping within a single Arabidopsis thaliana population reveals a richer genetic architecture for defensive metabolite diversity

A paradoxical finding from genome-wide association studies (GWAS) in plants is that variation in metabolite profiles typically maps to a small number of loci, despite the complexity of underlying biosynthetic pathways. This discrepancy may partially arise from limitations presented by geographically diverse mapping panels. Properties of metabolic pathways that impede GWAS by diluting the additive effect of a causal variant, such as allelic and genic heterogeneity and epistasis, would be expected to increase in severity with the geographic range of the mapping panel. We hypothesized that a population from a single locality would reveal an expanded set of associated loci. We tested this in a French Arabidopsis thaliana population (< 1 km transect) by profiling and conducting GWAS for glucosinolates, a suite of defensive metabolites that have been studied in depth through functional and genetic mapping approaches. For two distinct classes of glucosinolates, we discovered more associations at biosynthetic loci than previous GWAS with continental-scale mapping panels. Candidate genes underlying novel associations were supported by concordance between their observed effects in the TOU-A population and previous functional genetic and biochemical characterization. Local populations complement geographically diverse mapping panels to reveal a more complete genetic architecture for metabolic traits.

evolutionary biology↗