Targeted NGS for species level phylogenomics : “made to measure” or “one size fits all”?

dc.contributor.authorKadlec, Malvina
dc.contributor.authorBellstedt, Dirk U.
dc.contributor.authorLe Maitre, Nicholas C.
dc.contributor.authorPirie, Michael
dc.date.accessioned2022-10-13T09:30:17Z
dc.date.available2022-10-13T09:30:17Z
dc.date.issued2017
dc.description.abstractTargeted high-throughput sequencing using hybrid-enrichment offers a promising source of data for inferring multiple, meaningfully resolved, independent gene trees suitable to address challenging phylogenetic problems in species complexes and rapid radiations. The targets in question can either be adopted directly from more or less universal tools, or custom made for particular clades at considerably greater effort. We applied custom made scripts to select sets of homologous sequence markers from transcriptome and WGS data for use in the flowering plant genus Erica (Ericaceae). We compared the resulting targets to those that would be selected both using different available tools (Hyb-Seq; MarkerMiner), and when optimising for broader clades of more distantly related taxa (Ericales; eudicots). Approaches comparing more divergent genomes (including MarkerMiner, irrespective of input data) delivered fewer and shorter potential markers than those targeted for Erica. The latter may nevertheless be effective for sequence capture across the wider family Ericaceae. We tested the targets delivered by our scripts by obtaining an empirical dataset. The resulting sequence variation was lower than that of standard nuclear ribosomal markers (that in Erica fail to deliver a well resolved gene tree), confirming the importance of maximising the lengths of individual markers. We conclude that rather than searching for “one size fits all” universal markers, we should improve and make more accessible the tools necessary for developing “made to measure” ones.en_GB
dc.description.sponsorshipDFG, Open Access-Publizieren Universität Mainz / Universitätsmedizinde
dc.identifier.doihttp://doi.org/10.25358/openscience-7980
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/7995
dc.language.isoengde
dc.rightsCC-BY-4.0*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.ddc580 Pflanzen (Botanik)de_DE
dc.subject.ddc580 Botanical sciencesen_GB
dc.titleTargeted NGS for species level phylogenomics : “made to measure” or “one size fits all”?en_GB
dc.typeZeitschriftenaufsatzde
jgu.journal.titlePeerJde
jgu.journal.volume5de
jgu.organisation.departmentFB 10 Biologiede
jgu.organisation.nameJohannes Gutenberg-Universität Mainz
jgu.organisation.number7970
jgu.organisation.placeMainz
jgu.organisation.rorhttps://ror.org/023b0x485
jgu.pages.alternativee3569de
jgu.publisher.doi10.7717/peerj.3569de
jgu.publisher.issn2167-8359de
jgu.publisher.namePeerJ, Inc.de
jgu.publisher.placeLondonde
jgu.publisher.urihttp://dx.doi.org/10.7717/peerj.3569de
jgu.publisher.year2017
jgu.rights.accessrightsopenAccess
jgu.subject.ddccode580de
jgu.type.dinitypeArticleen_GB
jgu.type.resourceTextde
jgu.type.versionPublished versionde
opus.affiliatedKadlec, Malvina
opus.affiliatedPirie, Michael
opus.date.modified2017-11-20T09:43:40Z
opus.identifier.opusid57144
opus.institute.number1011
opus.metadataonlyfalse
opus.organisation.stringFB 10: Biologie: Institut für Organismische und Molekulare Evolutionsbiologiede_DE
opus.subject.dfgcode03-202
opus.type.contenttypeForschungsberichtde_DE
opus.type.contenttypeResearch Reporten_EN

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