Dense sampling of bird diversity increases power of comparative genomics
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Stiller, Josefin
Deng, Yuan
Armstrong, Joel
Fang, Qi
Reeve, Andrew Hart
Xie, Duo
Chen, Guangji
Guo, Chunxue
Faircloth, Brant C
Petersen, Bent
Wang, Zongji
Zhou, Qi
Song, Gang
et al.
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Abstract
Whole-genome sequencing projects are increasingly populating the tree of life and characterizing biodiversity1–4. Sparse taxon sampling has previously been proposed to confound phylogenetic inference5, and captures only a fraction of the genomic diversity. Here we report a substantial step towards the dense representation of avian phylogenetic and molecular diversity, by analysing 363 genomes from 92.4% of bird families—including 267 newly sequenced genomes produced for phase II of the Bird 10,000 Genomes (B10K) Project. We use this comparative genome dataset in combination with a pipeline that leverages a reference-free whole-genome alignment to identify orthologous regions in greater numbers than has previously been possible and to recognize genomic novelties in particular bird lineages. The densely sampled alignment provides a single-base-pair map of selection, has more than doubled the fraction of bases that are confidently predicted to be under conservation and reveals extensive patterns of weak selection in predominantly non-coding DNA. Our results demonstrate that increasing the diversity of genomes used in comparative studies can reveal more shared and lineage-specific variation, and improve the investigation of genomic characteristics. We anticipate that this genomic resource will offer new perspectives on evolutionary processes in cross-species comparative analyses and assist in efforts to conserve species.
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Nature
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587
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7833
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Ecology
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
ACCELERATED EVOLUTION
DNA
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Feng, S; Stiller, J; Deng, Y; Armstrong, J; Fang, Q; Reeve, AH; Xie, D; Chen, G; Guo, C; Faircloth, BC; Petersen, B; Wang, Z; Zhou, Q; Song, G; et al., Dense sampling of bird diversity increases power of comparative genomics, Nature, 2020, 587 (7833), pp. 252- 257