2) Rebekah Oomen - Consequences of single-locus and tightly linked genomic architectures for evol... скачать в хорошем качестве

2) Rebekah Oomen - Consequences of single-locus and tightly linked genomic architectures for evol...

Dr. Rebekah Oomen is a Postdoctoral Research Fellow at the University of Oslo and Researcher at the University of Agder and the second speaker of the Genomic Forecasting Symposium #GFS2020, held online on July 1st, 2020 with over 100 participants. The talk title, abstract, and relevant citation(s) are listed below. The symposium aimed to bring together theoreticians and empiricists in evolutionary biology and genomics to answer the question: 'How can genomics help us predict and sustain biodiversity in a changing world?'. It was funded by the Centre for Ecological and Evolutionary Synthesis and Department of Biosciences at the University of Oslo, the Centre for Coastal Research at the University of Agder, and the James S. McDonnell Foundation. For more information about the symposium or to contact its organizers, please visit our website: https://genomicforecasting.weebly.com Title: Consequences of single-locus and tightly linked genomic architectures for evolutionary responses to environmental change Abstract: Genetic and genomic architectures of traits under selection are key factors influencing evolutionary responses. Yet, knowledge of their impacts has been limited by a widespread assumption that most traits are controlled by unlinked polygenic architectures. Recent advances in genome sequencing and eco-evolutionary modelling are unlocking the potential for integrating genomic information into predictions of population responses to environmental change. Using eco-evolutionary simulations, we demonstrate that hypothetical single-locus control of a life history trait produces highly variable and unpredictable harvesting-induced evolution relative to the classically applied multi-locus model. Single-locus control of complex traits is thought to be uncommon, yet blocks of linked genes, such as those associated with some types of structural genomic variation, have emerged as taxonomically widespread phenomena. Inheritance of linked architectures resembles that of single loci, thus enabling single-locus-like modeling of polygenic adaptation. Yet, the number of loci, their effect sizes, and the degree of linkage among them all occur along a continuum. We review how linked architectures are often associated, directly or indirectly, with traits expected to be under selection from anthropogenic stressors and are likely to play a large role in adaptation to environmental disturbance. We suggest using single-locus models to explore evolutionary extremes and uncertainties when the trait architecture is unknown, refining parameters as genomic information becomes available, and explicitly incorporating linkage among loci when possible. By overestimating the complexity (e.g., number of independent loci) of the genomic architecture of traits under selection, we risk underestimating the complexity (e.g., nonlinearity) of their evolutionary dynamics. Citation: Oomen RA, A Kuparinen, & JA Hutchings (2020) Consequences of single-locus and tightly linked genomic architectures for evolutionary responses to environmental change. Journal of Heredity. https://doi.org/10.1093/jhered/esaa020