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A Universal Probe Set for Targeted Sequencing of 353 Nuclear Genes from Any Flowering Plant Designed Using k-Medoids Clustering
Johnson, Matthew G (Texas Tech University. Department of Biological Sciences)
Pokorny, Lisa (Royal Botanic Gardens. Department of Comparative Plant and Fungal Biology)
Dodsworth, Steven (Royal Botanic Gardens. Department of Comparative Plant and Fungal Biology)
Rodríguez Botigué, Laura (Centre de Recerca en Agrigenòmica)
Cowan, Robyn S (Royal Botanic Gardens. Department of Comparative Plant and Fungal Biology)
Devault, Alison (Arbor Biosciences (Ann Arbor, USA))
Eiserhardt, Wolf L (Royal Botanic Gardens. Department of Comparative Plant and Fungal Biology)
Epitawalage, Niroshini (Royal Botanic Gardens. Department of Comparative Plant and Fungal Biology)
Forest, Félix (Royal Botanic Gardens. Department of Comparative Plant and Fungal Biology)
Kim, Jan T (Royal Botanic Gardens. Department of Comparative Plant and Fungal Biology)
Leebens-Mack, James H (University of Georgia. Department of Plant Biology)
Leitch, Ilia J (Royal Botanic Gardens. Department of Comparative Plant and Fungal Biology)
Maurin, Olivier (Royal Botanic Gardens. Department of Comparative Plant and Fungal Biology)
Soltis, Douglas E. (University of Florida. Florida Museum of Natural History)
Soltis, Pamela S. (University of Florida. Florida Museum of Natural History)
Wong, Gane Ka-shu (University of Alberta. Department of Medicine)
Baker, William J (Royal Botanic Gardens. Department of Comparative Plant and Fungal Biology)
Wickett, Norman J (Chicago Botanic Garden. Plant Science and Conservation)

Date: 2018
Abstract: Sequencing of target-enriched libraries is an efficient and cost-effective method for obtaining DNA sequence data from hundreds of nuclear loci for phylogeny reconstruction. Much of the cost of developing targeted sequencing approaches is associated with the generation of preliminary data needed for the identification of orthologous loci for probe design. In plants, identifying orthologous loci has proven difficult due to a large number of whole-genome duplication events, especially in the angiosperms (flowering plants). We used multiple sequence alignments from over 600 angiosperms for 353 putatively single-copy protein-coding genes identified by the One Thousand Plant Transcriptomes Initiative to design a set of targeted sequencing probes for phylogenetic studies of any angiosperm group. To maximize the phylogenetic potential of the probes, while minimizing the cost of production, we introduce a k-medoids clustering approach to identify the minimum number of sequences necessary to represent each coding sequence in the final probe set. Using this method, 5–15 representative sequences were selected per orthologous locus, representing the sequence diversity of angiosperms more efficiently than if probes were designed using available sequenced genomes alone. To test our approximately 80,000 probes, we hybridized libraries from 42 species spanning all higher-order groups of angiosperms, with a focus on taxa not present in the sequence alignments used to design the probes. Out of a possible 353 coding sequences, we recovered an average of 283 per species and at least 100 in all species. Differences among taxa in sequence recovery could not be explained by relatedness to the representative taxa selected for probe design, suggesting that there is no phylogenetic bias in the probe set. Our probe set, which targeted 260 kbp of coding sequence, achieved a median recovery of 137 kbp per taxon in coding regions, a maximum recovery of 250 kbp, and an additional median of 212 kbp per taxon in flanking non-coding regions across all species. These results suggest that the Angiosperms353 probe set described here is effective for any group of flowering plants and would be useful for phylogenetic studies from the species level to higher-order groups, including the entire angiosperm clade itself.
Rights: This is an article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Creative Commons
Language: Anglès.
Document: article ; publishedVersion
Subject: Angiosperms ; Hyb-Seq ; K-means clustering ; K-medoids clustering ; Machine learning ; Nuclear genes ; Phylogenomics ; Sequence capture ; Target enrichment
Published in: Systematic Biology, Vol. 68 (december 2018) , p. 594-606, ISSN 1076-836X

PMID: 30535394
DOI: 10.1093/sysbio/syy086


13 p, 976.0 KB

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Research literature > UAB research groups literature > Research Centres and Groups (scientific output) > Experimental sciences > CRAG (Centre for Research in Agricultural Genomics)
Articles > Published articles

 Record created 2019-07-22, last modified 2019-11-21



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