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Recombination and phylogenetic inference.

作者信息

Rannala Bruce

机构信息

Department of Evolution and Ecology, University of California Davis, Davis, CA 95616, United States.

出版信息

Evol J Linn Soc. 2025 Aug 21;4(1):kzaf016. doi: 10.1093/evolinnean/kzaf016. eCollection 2025.

Abstract

I explore the problem of inferring phylogenetic trees in the presence of recombination. Two widely used approaches are considered: concatenation methods assume all loci have one underlying gene tree; and species tree inference methods assume one gene tree underlies each locus (no intralocus recombination) and loci have independent gene trees (high interlocus recombination). The impact of recombination is different under these two approaches. Three strategies for addressing the impacts of recombination are considered: (i) studies of the statistical robustness of phylogenetic inference methods when recombination occurs and is not accounted for (if impacts are minimal, recombination can be safely ignored); (ii) methods that accommodate recombination by identifying recombinant regions to either eliminate recombinant loci (to reduce intralocus recombination) or to choose loci that are separated by multiple recombinations (to increase interlocus recombination); and (iii) methods for phylogenetic inference that aim to accommodate recombination by inferring breakpoints between regions of sequences with different gene trees or allow varying topology along a sequence. I conclude that recombination is likely to be more detrimental for concatenation methods, having little impact on topology or divergence time estimates for species tree inference methods. Recombination detection may not be necessary when performing species tree inference, and eliminating recombinant loci may bias parameter estimates. Methods allowing gene trees to vary across the genome still lack theory-based criteria for combining inferred gene trees to estimate a species tree; this could in principle be done using a multispecies coalescent model with recombination but is a considerable technical challenge.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7de/12448323/fc9ace496780/kzaf016f1.jpg

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