Plant DNA barcodes can accurately estimate species richness in poorly known floras
Widespread uptake of DNA barcoding technology for vascular plants has been slow due to the relatively poor resolution of species discrimination (∼70%) and low sequencing and amplification success of one of the two official barcoding loci, matK. Studies to date have mostly focused on finding a soluti...
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description | Widespread uptake of DNA barcoding technology for vascular plants has been slow due to the relatively poor resolution of species discrimination (∼70%) and low sequencing and amplification success of one of the two official barcoding loci, matK. Studies to date have mostly focused on finding a solution to these intrinsic limitations of the markers, rather than posing questions that can maximize the utility of DNA barcodes for plants with the current technology.
Here we test the ability of plant DNA barcodes using the two official barcoding loci, rbcLa and matK, plus an alternative barcoding locus, trnH-psbA, to estimate the species diversity of trees in a tropical rainforest plot. Species discrimination accuracy was similar to findings from previous studies but species richness estimation accuracy proved higher, up to 89%. All combinations which included the trnH-psbA locus performed better at both species discrimination and richness estimation than matK, which showed little enhanced species discriminatory power when concatenated with rbcLa. The utility of the trnH-psbA locus is limited however, by the occurrence of intraspecific variation observed in some angiosperm families to occur as an inversion that obscures the monophyly of species.
We demonstrate for the first time, using a case study, the potential of plant DNA barcodes for the rapid estimation of species richness in taxonomically poorly known areas or cryptic populations revealing a powerful new tool for rapid biodiversity assessment. The combination of the rbcLa and trnH-psbA loci performed better for this purpose than any two-locus combination that included matK. We show that although DNA barcodes fail to discriminate all species of plants, new perspectives and methods on biodiversity value and quantification may overshadow some of these shortcomings by applying barcode data in new ways. |
doi_str_mv | 10.1371/journal.pone.0026841 |
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Here we test the ability of plant DNA barcodes using the two official barcoding loci, rbcLa and matK, plus an alternative barcoding locus, trnH-psbA, to estimate the species diversity of trees in a tropical rainforest plot. Species discrimination accuracy was similar to findings from previous studies but species richness estimation accuracy proved higher, up to 89%. All combinations which included the trnH-psbA locus performed better at both species discrimination and richness estimation than matK, which showed little enhanced species discriminatory power when concatenated with rbcLa. The utility of the trnH-psbA locus is limited however, by the occurrence of intraspecific variation observed in some angiosperm families to occur as an inversion that obscures the monophyly of species.
We demonstrate for the first time, using a case study, the potential of plant DNA barcodes for the rapid estimation of species richness in taxonomically poorly known areas or cryptic populations revealing a powerful new tool for rapid biodiversity assessment. The combination of the rbcLa and trnH-psbA loci performed better for this purpose than any two-locus combination that included matK. We show that although DNA barcodes fail to discriminate all species of plants, new perspectives and methods on biodiversity value and quantification may overshadow some of these shortcomings by applying barcode data in new ways.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0026841</identifier><identifier>PMID: 22096501</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acacia ; Aspalathus ; Bar codes ; Biodiversity ; Biology ; Deoxyribonucleic acid ; DNA ; DNA Barcoding, Taxonomic - methods ; DNA, Plant - genetics ; Ecology ; Endangered & extinct species ; Estimation accuracy ; Evolutionary biology ; Extinction ; Fabaceae ; Flowers & plants ; Gene sequencing ; Genetic research ; Identification ; Loci ; Mimosoideae ; Natural resources ; Phylogenetics ; Phylogeny ; Plant diversity ; Plant Proteins - genetics ; Plant species introduction ; Plants ; Plants (botany) ; Plants - classification ; Plants - genetics ; Potamogetonaceae ; Rain forests ; Rainforests ; Species diversity ; Species richness ; Studies ; Taxonomy ; Technology ; Trees - classification ; Trees - genetics ; Trends ; Working groups</subject><ispartof>PloS one, 2011-11, Vol.6 (11), p.e26841-e26841</ispartof><rights>COPYRIGHT 2011 Public Library of Science</rights><rights>2011 Costion et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Costion et al. 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c691t-10feb49a7de2886155af69a62b88a5196a01357106365b0c4a13a813bf44b0a03</citedby><cites>FETCH-LOGICAL-c691t-10feb49a7de2886155af69a62b88a5196a01357106365b0c4a13a813bf44b0a03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3214028/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3214028/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22096501$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Gilbert, Jack Anthony</contributor><creatorcontrib>Costion, Craig</creatorcontrib><creatorcontrib>Ford, Andrew</creatorcontrib><creatorcontrib>Cross, Hugh</creatorcontrib><creatorcontrib>Crayn, Darren</creatorcontrib><creatorcontrib>Harrington, Mark</creatorcontrib><creatorcontrib>Lowe, Andrew</creatorcontrib><title>Plant DNA barcodes can accurately estimate species richness in poorly known floras</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Widespread uptake of DNA barcoding technology for vascular plants has been slow due to the relatively poor resolution of species discrimination (∼70%) and low sequencing and amplification success of one of the two official barcoding loci, matK. Studies to date have mostly focused on finding a solution to these intrinsic limitations of the markers, rather than posing questions that can maximize the utility of DNA barcodes for plants with the current technology.
Here we test the ability of plant DNA barcodes using the two official barcoding loci, rbcLa and matK, plus an alternative barcoding locus, trnH-psbA, to estimate the species diversity of trees in a tropical rainforest plot. Species discrimination accuracy was similar to findings from previous studies but species richness estimation accuracy proved higher, up to 89%. All combinations which included the trnH-psbA locus performed better at both species discrimination and richness estimation than matK, which showed little enhanced species discriminatory power when concatenated with rbcLa. The utility of the trnH-psbA locus is limited however, by the occurrence of intraspecific variation observed in some angiosperm families to occur as an inversion that obscures the monophyly of species.
We demonstrate for the first time, using a case study, the potential of plant DNA barcodes for the rapid estimation of species richness in taxonomically poorly known areas or cryptic populations revealing a powerful new tool for rapid biodiversity assessment. The combination of the rbcLa and trnH-psbA loci performed better for this purpose than any two-locus combination that included matK. We show that although DNA barcodes fail to discriminate all species of plants, new perspectives and methods on biodiversity value and quantification may overshadow some of these shortcomings by applying barcode data in new ways.</description><subject>Acacia</subject><subject>Aspalathus</subject><subject>Bar codes</subject><subject>Biodiversity</subject><subject>Biology</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA Barcoding, Taxonomic - methods</subject><subject>DNA, Plant - genetics</subject><subject>Ecology</subject><subject>Endangered & extinct species</subject><subject>Estimation accuracy</subject><subject>Evolutionary biology</subject><subject>Extinction</subject><subject>Fabaceae</subject><subject>Flowers & plants</subject><subject>Gene sequencing</subject><subject>Genetic research</subject><subject>Identification</subject><subject>Loci</subject><subject>Mimosoideae</subject><subject>Natural resources</subject><subject>Phylogenetics</subject><subject>Phylogeny</subject><subject>Plant diversity</subject><subject>Plant Proteins - genetics</subject><subject>Plant species introduction</subject><subject>Plants</subject><subject>Plants (botany)</subject><subject>Plants - classification</subject><subject>Plants - genetics</subject><subject>Potamogetonaceae</subject><subject>Rain forests</subject><subject>Rainforests</subject><subject>Species diversity</subject><subject>Species richness</subject><subject>Studies</subject><subject>Taxonomy</subject><subject>Technology</subject><subject>Trees - classification</subject><subject>Trees - genetics</subject><subject>Trends</subject><subject>Working groups</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl1v0zAUhiMEYmPwDxBEQgJx0eJjx45zg1SNr0oTQ-Pj1jpxnNYjtYudAPv3uDSbGrQL5Atb9nNeH79-s-wxkDmwEl5d-iE47OZb78ycECpkAXeyY6gYnQlK2N2D9VH2IMZLQjiTQtzPjiglleAEjrOLTx26Pn_zcZHXGLRvTMw1uhy1HgL2prvKTeztJi3zuDXapvNg9dqZGHPr8q33ITHfnf_l8rbzAePD7F6LXTSPxvkk-_ru7ZfTD7Oz8_fL08XZTIsK-hmQ1tRFhWVjqJQCOMdWVChoLSVyqAQSYLwEIpjgNdEFAkMJrG6LoiZI2En2dK-77XxUox1RAQMKvJRcJmK5JxqPl2ob0jPClfJo1d8NH1YKQ291ZxSUvBFGG9HUTZE6kAVWZSlEIygHKquk9Xq8bag3ptHG9QG7iej0xNm1WvmfilEoCN0182IUCP7HkExVGxu16ZL_xg9RVYSLsiQFJPLZP-TtjxupFab-rWt9ulbvNNWiKIUUDEqWqPktVBqN2VidotPatD8peDkpSExvfvcrHGJUy88X_8-ef5uyzw_YtcGuX0ffDb31Lk7BYg_q4GMMpr3xGIjaJf_aDbVLvhqTn8qeHP7PTdF11NkfBjv8Qg</recordid><startdate>20111111</startdate><enddate>20111111</enddate><creator>Costion, Craig</creator><creator>Ford, Andrew</creator><creator>Cross, Hugh</creator><creator>Crayn, Darren</creator><creator>Harrington, Mark</creator><creator>Lowe, Andrew</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20111111</creationdate><title>Plant DNA barcodes can accurately estimate species richness in poorly known floras</title><author>Costion, Craig ; Ford, Andrew ; Cross, Hugh ; Crayn, Darren ; Harrington, Mark ; Lowe, Andrew</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c691t-10feb49a7de2886155af69a62b88a5196a01357106365b0c4a13a813bf44b0a03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Acacia</topic><topic>Aspalathus</topic><topic>Bar codes</topic><topic>Biodiversity</topic><topic>Biology</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>DNA Barcoding, Taxonomic - methods</topic><topic>DNA, Plant - genetics</topic><topic>Ecology</topic><topic>Endangered & extinct species</topic><topic>Estimation accuracy</topic><topic>Evolutionary biology</topic><topic>Extinction</topic><topic>Fabaceae</topic><topic>Flowers & plants</topic><topic>Gene sequencing</topic><topic>Genetic research</topic><topic>Identification</topic><topic>Loci</topic><topic>Mimosoideae</topic><topic>Natural resources</topic><topic>Phylogenetics</topic><topic>Phylogeny</topic><topic>Plant diversity</topic><topic>Plant Proteins - genetics</topic><topic>Plant species introduction</topic><topic>Plants</topic><topic>Plants (botany)</topic><topic>Plants - classification</topic><topic>Plants - genetics</topic><topic>Potamogetonaceae</topic><topic>Rain forests</topic><topic>Rainforests</topic><topic>Species diversity</topic><topic>Species richness</topic><topic>Studies</topic><topic>Taxonomy</topic><topic>Technology</topic><topic>Trees - classification</topic><topic>Trees - genetics</topic><topic>Trends</topic><topic>Working groups</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Costion, Craig</creatorcontrib><creatorcontrib>Ford, Andrew</creatorcontrib><creatorcontrib>Cross, Hugh</creatorcontrib><creatorcontrib>Crayn, Darren</creatorcontrib><creatorcontrib>Harrington, Mark</creatorcontrib><creatorcontrib>Lowe, Andrew</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints in Context (Gale)</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Costion, Craig</au><au>Ford, Andrew</au><au>Cross, Hugh</au><au>Crayn, Darren</au><au>Harrington, Mark</au><au>Lowe, Andrew</au><au>Gilbert, Jack Anthony</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Plant DNA barcodes can accurately estimate species richness in poorly known floras</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2011-11-11</date><risdate>2011</risdate><volume>6</volume><issue>11</issue><spage>e26841</spage><epage>e26841</epage><pages>e26841-e26841</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Widespread uptake of DNA barcoding technology for vascular plants has been slow due to the relatively poor resolution of species discrimination (∼70%) and low sequencing and amplification success of one of the two official barcoding loci, matK. Studies to date have mostly focused on finding a solution to these intrinsic limitations of the markers, rather than posing questions that can maximize the utility of DNA barcodes for plants with the current technology.
Here we test the ability of plant DNA barcodes using the two official barcoding loci, rbcLa and matK, plus an alternative barcoding locus, trnH-psbA, to estimate the species diversity of trees in a tropical rainforest plot. Species discrimination accuracy was similar to findings from previous studies but species richness estimation accuracy proved higher, up to 89%. All combinations which included the trnH-psbA locus performed better at both species discrimination and richness estimation than matK, which showed little enhanced species discriminatory power when concatenated with rbcLa. The utility of the trnH-psbA locus is limited however, by the occurrence of intraspecific variation observed in some angiosperm families to occur as an inversion that obscures the monophyly of species.
We demonstrate for the first time, using a case study, the potential of plant DNA barcodes for the rapid estimation of species richness in taxonomically poorly known areas or cryptic populations revealing a powerful new tool for rapid biodiversity assessment. The combination of the rbcLa and trnH-psbA loci performed better for this purpose than any two-locus combination that included matK. We show that although DNA barcodes fail to discriminate all species of plants, new perspectives and methods on biodiversity value and quantification may overshadow some of these shortcomings by applying barcode data in new ways.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>22096501</pmid><doi>10.1371/journal.pone.0026841</doi><tpages>e26841</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Acacia Aspalathus Bar codes Biodiversity Biology Deoxyribonucleic acid DNA DNA Barcoding, Taxonomic - methods DNA, Plant - genetics Ecology Endangered & extinct species Estimation accuracy Evolutionary biology Extinction Fabaceae Flowers & plants Gene sequencing Genetic research Identification Loci Mimosoideae Natural resources Phylogenetics Phylogeny Plant diversity Plant Proteins - genetics Plant species introduction Plants Plants (botany) Plants - classification Plants - genetics Potamogetonaceae Rain forests Rainforests Species diversity Species richness Studies Taxonomy Technology Trees - classification Trees - genetics Trends Working groups |
title | Plant DNA barcodes can accurately estimate species richness in poorly known floras |
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