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作 者:Xiyun Jiao Tomas Flouri Ziheng Yang
机构地区:[1]Department of Genetics,Evolution and Environment,University College London,London WC1E 6BT,UK [2]Department of Statistics and Data Science,Southern University of Science and Technology,Shenzhen 518055,China
出 处:《National Science Review》2021年第12期81-98,共18页国家科学评论(英文版)
基 金:supported by Biotechnology and Biological Sciences Research Council grants (BB/P006493/1 and BB/T003502/1) to Z.Y。
摘 要:Multispecies coalescent(MSC) is the extension of the single-population coalescent model to multiple species. It integrates the phylogenetic process of species divergences and the population genetic process of coalescent, and provides a powerful framework for a number of inference problems using genomic sequence data from multiple species, including estimation of species divergence times and population sizes,estimation of species trees accommodating discordant gene trees, inference of cross-species gene flow and species delimitation. In this review, we introduce the major features of the MSC model, discuss full-likelihood and heuristic methods of species tree estimation and summarize recent methodological advances in inference of cross-species gene flow. We discuss the statistical and computational challenges in the field and research directions where breakthroughs may be likely in the next few years.
关 键 词:anomaly zone BPP deep coalescence gene flow Markov chain Monte Carlo multispecies coalescent species tree
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