Exploring data processing strategies in NGS target enrichment to disentangle radiations in the tribe Cardueae (Compositae)
[Display omitted] •Target enrichment resolved relationships among the four genera of the Cardueae.•Bioinformatic choices can largely affect the phylogenetic reconstructions.•Filtering strategies improve support values only under concatenation analyses.•The coalescence approach yields higher topologi...
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Veröffentlicht in: | Molecular phylogenetics and evolution 2018-11, Vol.128, p.69-87 |
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creator | Herrando-Moraira, Sonia Calleja, Juan Antonio Carnicero, Pau Fujikawa, Kazumi Galbany-Casals, Mercè Garcia-Jacas, Núria Im, Hyoung-Tak Kim, Seung-Chul Liu, Jian-Quan López-Alvarado, Javier López-Pujol, Jordi Mandel, Jennifer R. Massó, Sergi Mehregan, Iraj Montes-Moreno, Noemí Pyak, Elizaveta Roquet, Cristina Sáez, Llorenç Sennikov, Alexander Susanna, Alfonso Vilatersana, Roser |
description | [Display omitted]
•Target enrichment resolved relationships among the four genera of the Cardueae.•Bioinformatic choices can largely affect the phylogenetic reconstructions.•Filtering strategies improve support values only under concatenation analyses.•The coalescence approach yields higher topological robustness than concatenation.
Target enrichment is a cost-effective sequencing technique that holds promise for elucidating evolutionary relationships in fast-evolving lineages. However, potential biases and impact of bioinformatic sequence treatments in phylogenetic inference have not been thoroughly explored yet. Here, we investigate this issue with an ultimate goal to shed light into a highly diversified group of Compositae (Asteraceae) constituted by four main genera: Arctium, Cousinia, Saussurea, and Jurinea. Specifically, we compared sequence data extraction methods implemented in two easy-to-use workflows, PHYLUCE and HybPiper, and assessed the impact of two filtering practices intended to reduce phylogenetic noise. In addition, we compared two phylogenetic inference methods: (1) the concatenation approach, in which all loci were concatenated in a supermatrix; and (2) the coalescence approach, in which gene trees were produced independently and then used to construct a species tree under coalescence assumptions. Here we confirm the usefulness of the set of 1061 COS targets (a nuclear conserved orthology loci set developed for the Compositae) across a variety of taxonomic levels. Intergeneric relationships were completely resolved: there are two sister groups, Arctium-Cousinia and Saussurea-Jurinea, which are in agreement with a morphological hypothesis. Intrageneric relationships among species of Arctium, Cousinia, and Saussurea are also well defined. Conversely, conflicting species relationships remain for Jurinea. Methodological choices significantly affected phylogenies in terms of topology, branch length, and support. Across all analyses, the phylogeny obtained using HybPiper and the strictest scheme of removing fast-evolving sites was estimated as the optimal. Regarding methodological choices, we conclude that: (1) trees obtained under the coalescence approach are topologically more congruent between them than those inferred using the concatenation approach; (2) refining treatments only improved support values under the concatenation approach; and (3) branch support values are maximized when fast-evolving sites are removed in the concatenation a |
doi_str_mv | 10.1016/j.ympev.2018.07.012 |
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•Target enrichment resolved relationships among the four genera of the Cardueae.•Bioinformatic choices can largely affect the phylogenetic reconstructions.•Filtering strategies improve support values only under concatenation analyses.•The coalescence approach yields higher topological robustness than concatenation.
Target enrichment is a cost-effective sequencing technique that holds promise for elucidating evolutionary relationships in fast-evolving lineages. However, potential biases and impact of bioinformatic sequence treatments in phylogenetic inference have not been thoroughly explored yet. Here, we investigate this issue with an ultimate goal to shed light into a highly diversified group of Compositae (Asteraceae) constituted by four main genera: Arctium, Cousinia, Saussurea, and Jurinea. Specifically, we compared sequence data extraction methods implemented in two easy-to-use workflows, PHYLUCE and HybPiper, and assessed the impact of two filtering practices intended to reduce phylogenetic noise. In addition, we compared two phylogenetic inference methods: (1) the concatenation approach, in which all loci were concatenated in a supermatrix; and (2) the coalescence approach, in which gene trees were produced independently and then used to construct a species tree under coalescence assumptions. Here we confirm the usefulness of the set of 1061 COS targets (a nuclear conserved orthology loci set developed for the Compositae) across a variety of taxonomic levels. Intergeneric relationships were completely resolved: there are two sister groups, Arctium-Cousinia and Saussurea-Jurinea, which are in agreement with a morphological hypothesis. Intrageneric relationships among species of Arctium, Cousinia, and Saussurea are also well defined. Conversely, conflicting species relationships remain for Jurinea. Methodological choices significantly affected phylogenies in terms of topology, branch length, and support. Across all analyses, the phylogeny obtained using HybPiper and the strictest scheme of removing fast-evolving sites was estimated as the optimal. Regarding methodological choices, we conclude that: (1) trees obtained under the coalescence approach are topologically more congruent between them than those inferred using the concatenation approach; (2) refining treatments only improved support values under the concatenation approach; and (3) branch support values are maximized when fast-evolving sites are removed in the concatenation approach, and when a higher number of loci is analyzed in the coalescence approach.</description><identifier>ISSN: 1055-7903</identifier><identifier>EISSN: 1095-9513</identifier><identifier>DOI: 10.1016/j.ympev.2018.07.012</identifier><identifier>PMID: 30036700</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Asteraceae ; Asteraceae - classification ; Asteraceae - genetics ; Computational Biology - methods ; Conserved Sequence ; COS targets ; Databases, Genetic ; Genetic Loci ; High-Throughput Nucleotide Sequencing - methods ; HybPiper ; NGS filtering strategies ; Phylogenetic noise ; Phylogeny ; PHYLUCE</subject><ispartof>Molecular phylogenetics and evolution, 2018-11, Vol.128, p.69-87</ispartof><rights>2018 Elsevier Inc.</rights><rights>Copyright © 2018 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-825eed2efe542cb2b47a72641b9f22a4d43b2dec546fb6e2e1401b67644e6b7d3</citedby><cites>FETCH-LOGICAL-c470t-825eed2efe542cb2b47a72641b9f22a4d43b2dec546fb6e2e1401b67644e6b7d3</cites><orcidid>0000-0002-0488-5112 ; 0000-0002-8345-3309</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1055790318302501$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30036700$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Herrando-Moraira, Sonia</creatorcontrib><creatorcontrib>Calleja, Juan Antonio</creatorcontrib><creatorcontrib>Carnicero, Pau</creatorcontrib><creatorcontrib>Fujikawa, Kazumi</creatorcontrib><creatorcontrib>Galbany-Casals, Mercè</creatorcontrib><creatorcontrib>Garcia-Jacas, Núria</creatorcontrib><creatorcontrib>Im, Hyoung-Tak</creatorcontrib><creatorcontrib>Kim, Seung-Chul</creatorcontrib><creatorcontrib>Liu, Jian-Quan</creatorcontrib><creatorcontrib>López-Alvarado, Javier</creatorcontrib><creatorcontrib>López-Pujol, Jordi</creatorcontrib><creatorcontrib>Mandel, Jennifer R.</creatorcontrib><creatorcontrib>Massó, Sergi</creatorcontrib><creatorcontrib>Mehregan, Iraj</creatorcontrib><creatorcontrib>Montes-Moreno, Noemí</creatorcontrib><creatorcontrib>Pyak, Elizaveta</creatorcontrib><creatorcontrib>Roquet, Cristina</creatorcontrib><creatorcontrib>Sáez, Llorenç</creatorcontrib><creatorcontrib>Sennikov, Alexander</creatorcontrib><creatorcontrib>Susanna, Alfonso</creatorcontrib><creatorcontrib>Vilatersana, Roser</creatorcontrib><creatorcontrib>The Cardueae Radiations Group</creatorcontrib><creatorcontrib>Cardueae Radiations Group</creatorcontrib><title>Exploring data processing strategies in NGS target enrichment to disentangle radiations in the tribe Cardueae (Compositae)</title><title>Molecular phylogenetics and evolution</title><addtitle>Mol Phylogenet Evol</addtitle><description>[Display omitted]
•Target enrichment resolved relationships among the four genera of the Cardueae.•Bioinformatic choices can largely affect the phylogenetic reconstructions.•Filtering strategies improve support values only under concatenation analyses.•The coalescence approach yields higher topological robustness than concatenation.
Target enrichment is a cost-effective sequencing technique that holds promise for elucidating evolutionary relationships in fast-evolving lineages. However, potential biases and impact of bioinformatic sequence treatments in phylogenetic inference have not been thoroughly explored yet. Here, we investigate this issue with an ultimate goal to shed light into a highly diversified group of Compositae (Asteraceae) constituted by four main genera: Arctium, Cousinia, Saussurea, and Jurinea. Specifically, we compared sequence data extraction methods implemented in two easy-to-use workflows, PHYLUCE and HybPiper, and assessed the impact of two filtering practices intended to reduce phylogenetic noise. In addition, we compared two phylogenetic inference methods: (1) the concatenation approach, in which all loci were concatenated in a supermatrix; and (2) the coalescence approach, in which gene trees were produced independently and then used to construct a species tree under coalescence assumptions. Here we confirm the usefulness of the set of 1061 COS targets (a nuclear conserved orthology loci set developed for the Compositae) across a variety of taxonomic levels. Intergeneric relationships were completely resolved: there are two sister groups, Arctium-Cousinia and Saussurea-Jurinea, which are in agreement with a morphological hypothesis. Intrageneric relationships among species of Arctium, Cousinia, and Saussurea are also well defined. Conversely, conflicting species relationships remain for Jurinea. Methodological choices significantly affected phylogenies in terms of topology, branch length, and support. Across all analyses, the phylogeny obtained using HybPiper and the strictest scheme of removing fast-evolving sites was estimated as the optimal. Regarding methodological choices, we conclude that: (1) trees obtained under the coalescence approach are topologically more congruent between them than those inferred using the concatenation approach; (2) refining treatments only improved support values under the concatenation approach; and (3) branch support values are maximized when fast-evolving sites are removed in the concatenation approach, and when a higher number of loci is analyzed in the coalescence approach.</description><subject>Asteraceae</subject><subject>Asteraceae - classification</subject><subject>Asteraceae - genetics</subject><subject>Computational Biology - methods</subject><subject>Conserved Sequence</subject><subject>COS targets</subject><subject>Databases, Genetic</subject><subject>Genetic Loci</subject><subject>High-Throughput Nucleotide Sequencing - methods</subject><subject>HybPiper</subject><subject>NGS filtering strategies</subject><subject>Phylogenetic noise</subject><subject>Phylogeny</subject><subject>PHYLUCE</subject><issn>1055-7903</issn><issn>1095-9513</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kM1P3DAQxa0KVD7av6AS8pEeko4dOyaHHtCKAhIqh7Znyx-TxaskDrYXlf71zbLQY0_zRnpvRu9HyCcGNQPWftnUz-OMTzUHdlGDqoHxd-SYQSerTrLmYKelrFQHzRE5yXkDwJjs5Hty1AA0rQI4Jn-ufs9DTGFaU2-KoXOKDnPe7bkkU3AdMNMw0e_XP2gxaY2F4pSCexhxKrRE6kNelJnWA9JkfDAlxOklUh6QlhQs0pVJfosG6fkqjnPMoRj8_IEc9mbI-PF1npJf365-rm6qu_vr29XlXeWEglJdcInoOfYoBXeWW6GM4q1gtus5N8KLxnKPToq2ty1yZAKYbVUrBLZW-eaUnO_vLt0et5iLHkN2OAxmwrjNmoOSUkjo1GJt9laXYs4Jez2nMJr0rBnoHXS90S_Q9Q66BqUX6Evq7PXB1o7o_2XeKC-Gr3sDLjWfAiadXcDJoQ8JXdE-hv8--AvnVpYf</recordid><startdate>201811</startdate><enddate>201811</enddate><creator>Herrando-Moraira, Sonia</creator><creator>Calleja, Juan Antonio</creator><creator>Carnicero, Pau</creator><creator>Fujikawa, Kazumi</creator><creator>Galbany-Casals, Mercè</creator><creator>Garcia-Jacas, Núria</creator><creator>Im, Hyoung-Tak</creator><creator>Kim, Seung-Chul</creator><creator>Liu, Jian-Quan</creator><creator>López-Alvarado, Javier</creator><creator>López-Pujol, Jordi</creator><creator>Mandel, Jennifer R.</creator><creator>Massó, Sergi</creator><creator>Mehregan, Iraj</creator><creator>Montes-Moreno, Noemí</creator><creator>Pyak, Elizaveta</creator><creator>Roquet, Cristina</creator><creator>Sáez, Llorenç</creator><creator>Sennikov, Alexander</creator><creator>Susanna, Alfonso</creator><creator>Vilatersana, Roser</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0488-5112</orcidid><orcidid>https://orcid.org/0000-0002-8345-3309</orcidid></search><sort><creationdate>201811</creationdate><title>Exploring data processing strategies in NGS target enrichment to disentangle radiations in the tribe Cardueae (Compositae)</title><author>Herrando-Moraira, Sonia ; 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•Target enrichment resolved relationships among the four genera of the Cardueae.•Bioinformatic choices can largely affect the phylogenetic reconstructions.•Filtering strategies improve support values only under concatenation analyses.•The coalescence approach yields higher topological robustness than concatenation.
Target enrichment is a cost-effective sequencing technique that holds promise for elucidating evolutionary relationships in fast-evolving lineages. However, potential biases and impact of bioinformatic sequence treatments in phylogenetic inference have not been thoroughly explored yet. Here, we investigate this issue with an ultimate goal to shed light into a highly diversified group of Compositae (Asteraceae) constituted by four main genera: Arctium, Cousinia, Saussurea, and Jurinea. Specifically, we compared sequence data extraction methods implemented in two easy-to-use workflows, PHYLUCE and HybPiper, and assessed the impact of two filtering practices intended to reduce phylogenetic noise. In addition, we compared two phylogenetic inference methods: (1) the concatenation approach, in which all loci were concatenated in a supermatrix; and (2) the coalescence approach, in which gene trees were produced independently and then used to construct a species tree under coalescence assumptions. Here we confirm the usefulness of the set of 1061 COS targets (a nuclear conserved orthology loci set developed for the Compositae) across a variety of taxonomic levels. Intergeneric relationships were completely resolved: there are two sister groups, Arctium-Cousinia and Saussurea-Jurinea, which are in agreement with a morphological hypothesis. Intrageneric relationships among species of Arctium, Cousinia, and Saussurea are also well defined. Conversely, conflicting species relationships remain for Jurinea. Methodological choices significantly affected phylogenies in terms of topology, branch length, and support. Across all analyses, the phylogeny obtained using HybPiper and the strictest scheme of removing fast-evolving sites was estimated as the optimal. Regarding methodological choices, we conclude that: (1) trees obtained under the coalescence approach are topologically more congruent between them than those inferred using the concatenation approach; (2) refining treatments only improved support values under the concatenation approach; and (3) branch support values are maximized when fast-evolving sites are removed in the concatenation approach, and when a higher number of loci is analyzed in the coalescence approach.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>30036700</pmid><doi>10.1016/j.ympev.2018.07.012</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-0488-5112</orcidid><orcidid>https://orcid.org/0000-0002-8345-3309</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Asteraceae Asteraceae - classification Asteraceae - genetics Computational Biology - methods Conserved Sequence COS targets Databases, Genetic Genetic Loci High-Throughput Nucleotide Sequencing - methods HybPiper NGS filtering strategies Phylogenetic noise Phylogeny PHYLUCE |
title | Exploring data processing strategies in NGS target enrichment to disentangle radiations in the tribe Cardueae (Compositae) |
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