Browsing by Author "Weber, Claudia C"

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    Evidence for GC-biased gene conversion as a driver of between-lineage differences in avian base composition.
    (Genome Biol, 2014) Weber, Claudia C; Boussau, Bastien; Romiguier, Jonathan; Jarvis, Erich D; Ellegren, Hans
    BACKGROUND: While effective population size (Ne) and life history traits such as generation time are known to impact substitution rates, their potential effects on base composition evolution are less well understood. GC content increases with decreasing body mass in mammals, consistent with recombination-associated GC biased gene conversion (gBGC) more strongly impacting these lineages. However, shifts in chromosomal architecture and recombination landscapes between species may complicate the interpretation of these results. In birds, interchromosomal rearrangements are rare and the recombination landscape is conserved, suggesting that this group is well suited to assess the impact of life history on base composition. RESULTS: Employing data from 45 newly and 3 previously sequenced avian genomes covering a broad range of taxa, we found that lineages with large populations and short generations exhibit higher GC content. The effect extends to both coding and non-coding sites, indicating that it is not due to selection on codon usage. Consistent with recombination driving base composition, GC content and heterogeneity were positively correlated with the rate of recombination. Moreover, we observed ongoing increases in GC in the majority of lineages. CONCLUSIONS: Our results provide evidence that gBGC may drive patterns of nucleotide composition in avian genomes and are consistent with more effective gBGC in large populations and a greater number of meioses per unit time; that is, a shorter generation time. Thus, in accord with theoretical predictions, base composition evolution is substantially modulated by species life history.
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    Phylogenomic analyses data of the avian phylogenomics project.
    (Gigascience, 2015) Jarvis, Erich D; Mirarab, Siavash; Aberer, Andre J; Li, Bo; Houde, Peter; Li, Cai; Ho, Simon YW; Faircloth, Brant C; Nabholz, Benoit; Howard, Jason T; Suh, Alexander; Weber, Claudia C; da Fonseca, Rute R; Alfaro-Núñez, Alonzo; Narula, Nitish; Liu, Liang; Burt, Dave; Ellegren, Hans; Edwards, Scott V; Stamatakis, Alexandros; Mindell, David P; Cracraft, Joel; Braun, Edward L; Warnow, Tandy; Jun, Wang; Gilbert, M Thomas Pius; Zhang, Guojie; Avian Phylogenomics Consortium
    BACKGROUND: Determining the evolutionary relationships among the major lineages of extant birds has been one of the biggest challenges in systematic biology. To address this challenge, we assembled or collected the genomes of 48 avian species spanning most orders of birds, including all Neognathae and two of the five Palaeognathae orders. We used these genomes to construct a genome-scale avian phylogenetic tree and perform comparative genomic analyses. FINDINGS: Here we present the datasets associated with the phylogenomic analyses, which include sequence alignment files consisting of nucleotides, amino acids, indels, and transposable elements, as well as tree files containing gene trees and species trees. Inferring an accurate phylogeny required generating: 1) A well annotated data set across species based on genome synteny; 2) Alignments with unaligned or incorrectly overaligned sequences filtered out; and 3) Diverse data sets, including genes and their inferred trees, indels, and transposable elements. Our total evidence nucleotide tree (TENT) data set (consisting of exons, introns, and UCEs) gave what we consider our most reliable species tree when using the concatenation-based ExaML algorithm or when using statistical binning with the coalescence-based MP-EST algorithm (which we refer to as MP-EST*). Other data sets, such as the coding sequence of some exons, revealed other properties of genome evolution, namely convergence. CONCLUSIONS: The Avian Phylogenomics Project is the largest vertebrate phylogenomics project to date that we are aware of. The sequence, alignment, and tree data are expected to accelerate analyses in phylogenomics and other related areas.
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    Whole-genome analyses resolve early branches in the tree of life of modern birds.
    (Science, 2014-12-12) Jarvis, Erich D; Mirarab, Siavash; Aberer, Andre J; Li, Bo; Houde, Peter; Li, Cai; Ho, Simon YW; Faircloth, Brant C; Nabholz, Benoit; Howard, Jason T; Suh, Alexander; Weber, Claudia C; da Fonseca, Rute R; Li, Jianwen; Zhang, Fang; Li, Hui; Zhou, Long; Narula, Nitish; Liu, Liang; Ganapathy, Ganesh; Boussau, Bastien; Bayzid, Md Shamsuzzoha; Zavidovych, Volodymyr; Subramanian, Sankar; Gabaldón, Toni; Capella-Gutiérrez, Salvador; Huerta-Cepas, Jaime; Rekepalli, Bhanu; Munch, Kasper; Schierup, Mikkel; Lindow, Bent; Warren, Wesley C; Ray, David; Green, Richard E; Bruford, Michael W; Zhan, Xiangjiang; Dixon, Andrew; Li, Shengbin; Li, Ning; Huang, Yinhua; Derryberry, Elizabeth P; Bertelsen, Mads Frost; Sheldon, Frederick H; Brumfield, Robb T; Mello, Claudio V; Lovell, Peter V; Wirthlin, Morgan; Schneider, Maria Paula Cruz; Prosdocimi, Francisco; Samaniego, José Alfredo; Vargas Velazquez, Amhed Missael; Alfaro-Núñez, Alonzo; Campos, Paula F; Petersen, Bent; Sicheritz-Ponten, Thomas; Pas, An; Bailey, Tom; Scofield, Paul; Bunce, Michael; Lambert, David M; Zhou, Qi; Perelman, Polina; Driskell, Amy C; Shapiro, Beth; Xiong, Zijun; Zeng, Yongli; Liu, Shiping; Li, Zhenyu; Liu, Binghang; Wu, Kui; Xiao, Jin; Yinqi, Xiong; Zheng, Qiuemei; Zhang, Yong; Yang, Huanming; Wang, Jian; Wang, Jian; Smeds, Linnea; Rheindt, Frank E; Braun, Michael; Fjeldsa, Jon; Orlando, Ludovic; Barker, F Keith; Jønsson, Knud Andreas; Johnson, Warren; Koepfli, Klaus-Peter; O'Brien, Stephen; Haussler, David; Ryder, Oliver A; Rahbek, Carsten; Willerslev, Eske; Graves, Gary R; Glenn, Travis C; McCormack, John; Burt, Dave; Ellegren, Hans; Alström, Per; Edwards, Scott V; Stamatakis, Alexandros; Mindell, David P; Cracraft, Joel; Braun, Edward L; Warnow, Tandy; Jun, Wang; Gilbert, M Thomas P; Zhang, Guojie
    To better determine the history of modern birds, we performed a genome-scale phylogenetic analysis of 48 species representing all orders of Neoaves using phylogenomic methods created to handle genome-scale data. We recovered a highly resolved tree that confirms previously controversial sister or close relationships. We identified the first divergence in Neoaves, two groups we named Passerea and Columbea, representing independent lineages of diverse and convergently evolved land and water bird species. Among Passerea, we infer the common ancestor of core landbirds to have been an apex predator and confirm independent gains of vocal learning. Among Columbea, we identify pigeons and flamingoes as belonging to sister clades. Even with whole genomes, some of the earliest branches in Neoaves proved challenging to resolve, which was best explained by massive protein-coding sequence convergence and high levels of incomplete lineage sorting that occurred during a rapid radiation after the Cretaceous-Paleogene mass extinction event about 66 million years ago.