| Presentation Detail
Phylogenetics, Methods and Theory Pease, James B [1], Hahn, Matthew W [2]. More accurate phylogenies inferred from low-recombination regions in the presence of incomplete lineage sorting. When speciation events occur in rapid succession, incomplete lineage sorting (ILS) can cause disagreement among individual gene trees. The probability that ILS affects a given locus is directly related to its effective population size (Ne), which in turn is proportional to the recombination rate if there is strong selection across the genome. Based on these expectations, we hypothesized that low-recombination regions of the genome, as well as sex chromosomes and non-recombining chromosomes, should exhibit lower levels of ILS. We tested this hypothesis in phylogenomic datasets from primates, the Drosophila melanogaster clade, and the D. simulans clade. In all three cases, regions of the genome with low or no recombination showed significantly stronger support for the putative species tree, although results from the X chromosome differed among clades. Our results suggest that recurrent selection is acting in these low-recombination regions, such that current levels of diversity also reflect past decreases in the effective population size at these same loci. The results also demonstrate how considering the genomic context of a gene tree can assist in more accurate determination of the true species phylogeny, especially in cases where a whole-genome phylogeny appears to be an unresolvable polytomy.
Log in to add this item to your schedule
1 - Indiana University, Department of Biology, 1001 E Third St, Bloomington, IN, 47405, USA
2 - Indiana University, Department of Biology, School of Informatics and Computing, 1001 E Third St, Bloomington, IN, 47405
Keywords:
phylogenomics
phylogenetics
Drosophila
primates
incomplete lineage sorting
Recombination
whole-genome phylogeny.
Presentation Type: Regular Oral Presentation
Session: 76
Location: Cotton A/Snowbird Center
Date: Sunday, June 23rd, 2013
Time: 1:45 PM
Number: 76002
Abstract ID:227
Candidate for Awards:W.D. Hamilton Award for Outstanding Student Presentation |
