Computational Genetics and Evolution @UNM


Our research develops theory, computational approaches, and statistical tools to uncover mechanisms of rapid evolution in changing environments. We tackle the issue from several perspectives: (1) rapid molecular evolution at one or few genetic loci, (2) rapid phenotypic evolution in polygenic traits, and (3) rapid evolution of whole communities. In addition, we develop approaches to infer the genetic basis of complex trait variation in humans.

(1) Our theoretical work is currently focusing on evolutionary mechanisms of rapid molecular adaptation in temporally changing habitats, the evolution of phenotypic plasticity, and the evolution of genetic architecture in structured populations.

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(2) We are developing theory and statistical approaches for inferring genetic basis of complex phenotypes using whole-genome markers in humans. We are also using computer simulations to uncover evolutionary mechanisms of rapid polygenic adaptation.

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(3) Microbiomes are quintessential complex systems, whose structures are shaped by networks of ecological and evolutionary processes across levels of the organization, from genes within individuals within microbial communities to dynamic host-populations/habitats. We are developing a framework for eco-evolutonary dynamics of microbiomes that will allow us to simultaneously evaluate a myriad of interactive processes that shape the patterns of microbiome diversity.

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