Coalescent-Based Genome Analyses Resolve the Early Branches of the Euarchontoglires
2013 (English)In: PLoS ONE, ISSN 1932-6203, Vol. 8, no 4, e60019- p.Article in journal (Refereed) Published
Despite numerous large-scale phylogenomic studies, certain parts of the mammalian tree are extraordinarily difficult to resolve. We used the coding regions from 19 completely sequenced genomes to study the relationships within the super-clade Euarchontoglires (Primates, Rodentia, Lagomorpha, Dermoptera and Scandentia) because the placement of Scandentia within this clade is controversial. The difficulty in resolving this issue is due to the short time spans between the early divergences of Euarchontoglires, which may cause incongruent gene trees. The conflict in the data can be depicted by network analyses and the contentious relationships are best reconstructed by coalescent-based analyses. This method is expected to be superior to analyses of concatenated data in reconstructing a species tree from numerous gene trees. The total concatenated dataset used to study the relationships in this group comprises 5,875 protein-coding genes (9,799,170 nucleotides) from all orders except Dermoptera (flying lemurs). Reconstruction of the species tree from 1,006 gene trees using coalescent models placed Scandentia as sister group to the primates, which is in agreement with maximum likelihood analyses of concatenated nucleotide sequence data. Additionally, both analytical approaches favoured the Tarsier to be sister taxon to Anthropoidea, thus belonging to the Haplorrhine clade. When divergence times are short such as in radiations over periods of a few million years, even genome scale analyses struggle to resolve phylogenetic relationships. On these short branches processes such as incomplete lineage sorting and possibly hybridization occur and make it preferable to base phylogenomic analyses on coalescent methods.
Place, publisher, year, edition, pages
2013. Vol. 8, no 4, e60019- p.
Placental Mammal Phylogeny, Complete Mitochondrial Genome, Species-Tree Analysis, Amino-Acid, Mitogenomic Relationships, Likelihood Approach, Gene Trees, Sequences, Evolutionary, Nucleotide
IdentifiersURN: urn:nbn:se:kth:diva-121609DOI: 10.1371/journal.pone.0060019ISI: 000316930900041ScopusID: 2-s2.0-84875653134OAI: oai:DiVA.org:kth-121609DiVA: diva2:620205
FunderScience for Life Laboratory - a national resource center for high-throughput molecular bioscience
QC 201305082013-05-082013-05-032013-05-08Bibliographically approved