Next-generation museomics disentangles one of the largest primate radiations.

Bibliographic Collection: 
APE, APE Field Course
Publication Type: Journal Article
Authors: Guschanski, Katerina; Krause, Johannes; Sawyer, Susanna; Valente, Luis M; Bailey, Sebastian; Finstermeier, Knut; Sabin, Richard; Gilissen, Emmanuel; Sonet, Gontran; Nagy, Zoltán T; Lenglet, Georges; Mayer, Frieder; Savolainen, Vincent
Year of Publication: 2013
Journal: Syst Biol
Volume: 62
Issue: 4
Pagination: 539-54
Date Published: 2013 Jul
Publication Language: eng
ISSN: 1076-836X
Keywords: Animals, Cercopithecinae, Conservation of Natural Resources, DNA, Mitochondrial, Evolution, Molecular, Genome, Mitochondrial, High-Throughput Nucleotide Sequencing, Molecular Sequence Data, Phylogeny, Polymerase Chain Reaction, Sequence Analysis, DNA

Guenons (tribe Cercopithecini) are one of the most diverse groups of primates. They occupy all of sub-Saharan Africa and show great variation in ecology, behavior, and morphology. This variation led to the description of over 60 species and subspecies. Here, using next-generation DNA sequencing (NGS) in combination with targeted DNA capture, we sequenced 92 mitochondrial genomes from museum-preserved specimens as old as 117 years. We infer evolutionary relationships and estimate divergence times of almost all guenon taxa based on mitochondrial genome sequences. Using this phylogenetic framework, we infer divergence dates and reconstruct ancestral geographic ranges. We conclude that the extraordinary radiation of guenons has been a complex process driven by, among other factors, localized fluctuations of African forest cover. We find incongruences between phylogenetic trees reconstructed from mitochondrial and nuclear DNA sequences, which can be explained by either incomplete lineage sorting or hybridization. Furthermore, having produced the largest mitochondrial DNA data set from museum specimens, we document how NGS technologies can "unlock" museum collections, thereby helping to unravel the tree-of-life.

DOI: 10.1093/sysbio/syt018
Alternate Journal: Syst. Biol.