Loading…
Reliable discrimination of 10 ungulate species using high resolution melting analysis of faecal DNA
Identifying species occupying an area is essential for many ecological and conservation studies. Faecal DNA is a potentially powerful method for identifying cryptic mammalian species. In New Zealand, 10 species of ungulate (Order: Artiodactyla) have established wild populations and are managed as pe...
Saved in:
Published in: | PloS one 2014-03, Vol.9 (3), p.e92043 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c692t-204d0928d3a223db3a84e15bdd2fc3c6da502bb12e2fafe36714239aba01c5b73 |
---|---|
cites | cdi_FETCH-LOGICAL-c692t-204d0928d3a223db3a84e15bdd2fc3c6da502bb12e2fafe36714239aba01c5b73 |
container_end_page | |
container_issue | 3 |
container_start_page | e92043 |
container_title | PloS one |
container_volume | 9 |
creator | Ramón-Laca, Ana Gleeson, Dianne Yockney, Ivor Perry, Michael Nugent, Graham Forsyth, David M |
description | Identifying species occupying an area is essential for many ecological and conservation studies. Faecal DNA is a potentially powerful method for identifying cryptic mammalian species. In New Zealand, 10 species of ungulate (Order: Artiodactyla) have established wild populations and are managed as pests because of their impacts on native ecosystems. However, identifying the ungulate species present within a management area based on pellet morphology is unreliable. We present a method that enables reliable identification of 10 ungulate species (red deer, sika deer, rusa deer, fallow deer, sambar deer, white-tailed deer, Himalayan tahr, Alpine chamois, feral sheep, and feral goat) from swabs of faecal pellets. A high resolution melting (HRM) assay, targeting a fragment of the 12S rRNA gene, was developed. Species-specific primers were designed and combined in a multiplex PCR resulting in fragments of different length and therefore different melting behaviour for each species. The method was developed using tissue from each of the 10 species, and was validated in blind trials. Our protocol enabled species to be determined for 94% of faecal pellet swabs collected during routine monitoring by the New Zealand Department of Conservation. Our HRM method enables high-throughput and cost-effective species identification from low DNA template samples, and could readily be adapted to discriminate other mammalian species from faecal DNA. |
doi_str_mv | 10.1371/journal.pone.0092043 |
format | article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1508089225</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A478760909</galeid><doaj_id>oai_doaj_org_article_45faffb5f1884da584deb590450b0542</doaj_id><sourcerecordid>A478760909</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-204d0928d3a223db3a84e15bdd2fc3c6da502bb12e2fafe36714239aba01c5b73</originalsourceid><addsrcrecordid>eNqNkmtr2zAUhs3YWNts_2BshkFhH5LpYvnyZRC6W6Cs0F2-iiP5yFFQrMyyx_rvpzROiWGDYbDF8fOem94keUHJgvKCvt34oWvBLXa-xQUhFSMZf5Sc04qzec4If3xyPksuQtgQIniZ50-TM5blvCgJO0_0LToLymFa26A7u7Ut9Na3qTcpJenQNoODHtOwQ20xpEOwbZOubbNOOwzeDffwFl2_j0Ns6C7YsFcbQA0uff9l-Sx5YsAFfD5-Z8n3jx--XX2eX998Wl0tr-c6r1g_jwPUcYyy5sAYrxWHMkMqVF0zo7nOaxCEKUUZMgMGeV7QjPEKFBCqhSr4LHl1yLtzPshxP0FSQUpSVoyJSKwORO1hI3dxXOjupAcr7wO-ayR0vdUOZSZiEaOEoWWZxdLxhUpUJBNEERELz5J3Y7VBbbHW2PYduEnS6Z_WrmXjf0leiTxeQ0zwekzQ-Z8Dhv4fLY9UA7Er2xofk-ltvCy5zIqyyElFqkgt_kLFp8at1dEhxsb4RPBmIohMj7_7BoYQ5Orr7f-zNz-m7OUJu0Zw_fpokzAFswOoOx9Ch-Zhc5TIvcGP25B7g8vR4FH28nTrD6Kjo_kfcjf2ag</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1508089225</pqid></control><display><type>article</type><title>Reliable discrimination of 10 ungulate species using high resolution melting analysis of faecal DNA</title><source>Open Access: PubMed Central</source><source>Publicly Available Content Database</source><creator>Ramón-Laca, Ana ; Gleeson, Dianne ; Yockney, Ivor ; Perry, Michael ; Nugent, Graham ; Forsyth, David M</creator><contributor>Maldonado, Jesus E.</contributor><creatorcontrib>Ramón-Laca, Ana ; Gleeson, Dianne ; Yockney, Ivor ; Perry, Michael ; Nugent, Graham ; Forsyth, David M ; Maldonado, Jesus E.</creatorcontrib><description>Identifying species occupying an area is essential for many ecological and conservation studies. Faecal DNA is a potentially powerful method for identifying cryptic mammalian species. In New Zealand, 10 species of ungulate (Order: Artiodactyla) have established wild populations and are managed as pests because of their impacts on native ecosystems. However, identifying the ungulate species present within a management area based on pellet morphology is unreliable. We present a method that enables reliable identification of 10 ungulate species (red deer, sika deer, rusa deer, fallow deer, sambar deer, white-tailed deer, Himalayan tahr, Alpine chamois, feral sheep, and feral goat) from swabs of faecal pellets. A high resolution melting (HRM) assay, targeting a fragment of the 12S rRNA gene, was developed. Species-specific primers were designed and combined in a multiplex PCR resulting in fragments of different length and therefore different melting behaviour for each species. The method was developed using tissue from each of the 10 species, and was validated in blind trials. Our protocol enabled species to be determined for 94% of faecal pellet swabs collected during routine monitoring by the New Zealand Department of Conservation. Our HRM method enables high-throughput and cost-effective species identification from low DNA template samples, and could readily be adapted to discriminate other mammalian species from faecal DNA.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0092043</identifier><identifier>PMID: 24637802</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Alpine environments ; Analysis ; Animals ; Artiodactyla ; Artiodactyla - classification ; Artiodactyla - genetics ; Biology and Life Sciences ; Cervidae ; Conservation ; Cytochrome ; Cytochromes b - genetics ; Deer ; Deoxyribonucleic acid ; DNA ; DNA - analysis ; DNA - genetics ; DNA, Mitochondrial - genetics ; Ecological monitoring ; Ecology and Environmental Sciences ; Electron Transport Complex IV - genetics ; Feces ; Genes ; Genetic analysis ; High resolution ; Hybridization ; Identification ; Mammals ; Meat industry ; Melting ; Methods ; Mitochondrial DNA ; Molecular Sequence Data ; Multiplexing ; New Zealand ; Nucleic Acid Denaturation - genetics ; Pests ; Polymerase chain reaction ; Preservation, Biological ; Primers ; Reference Standards ; Reproducibility of Results ; RNA ; RNA, Ribosomal - genetics ; rRNA 12S ; Sheep ; Species ; Species Specificity ; Strategic management ; Studies ; White-tailed deer ; Wildlife conservation</subject><ispartof>PloS one, 2014-03, Vol.9 (3), p.e92043</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Ramón-Laca et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://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>2014 Ramón-Laca et al 2014 Ramón-Laca et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-204d0928d3a223db3a84e15bdd2fc3c6da502bb12e2fafe36714239aba01c5b73</citedby><cites>FETCH-LOGICAL-c692t-204d0928d3a223db3a84e15bdd2fc3c6da502bb12e2fafe36714239aba01c5b73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1508089225/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1508089225?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24637802$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Maldonado, Jesus E.</contributor><creatorcontrib>Ramón-Laca, Ana</creatorcontrib><creatorcontrib>Gleeson, Dianne</creatorcontrib><creatorcontrib>Yockney, Ivor</creatorcontrib><creatorcontrib>Perry, Michael</creatorcontrib><creatorcontrib>Nugent, Graham</creatorcontrib><creatorcontrib>Forsyth, David M</creatorcontrib><title>Reliable discrimination of 10 ungulate species using high resolution melting analysis of faecal DNA</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Identifying species occupying an area is essential for many ecological and conservation studies. Faecal DNA is a potentially powerful method for identifying cryptic mammalian species. In New Zealand, 10 species of ungulate (Order: Artiodactyla) have established wild populations and are managed as pests because of their impacts on native ecosystems. However, identifying the ungulate species present within a management area based on pellet morphology is unreliable. We present a method that enables reliable identification of 10 ungulate species (red deer, sika deer, rusa deer, fallow deer, sambar deer, white-tailed deer, Himalayan tahr, Alpine chamois, feral sheep, and feral goat) from swabs of faecal pellets. A high resolution melting (HRM) assay, targeting a fragment of the 12S rRNA gene, was developed. Species-specific primers were designed and combined in a multiplex PCR resulting in fragments of different length and therefore different melting behaviour for each species. The method was developed using tissue from each of the 10 species, and was validated in blind trials. Our protocol enabled species to be determined for 94% of faecal pellet swabs collected during routine monitoring by the New Zealand Department of Conservation. Our HRM method enables high-throughput and cost-effective species identification from low DNA template samples, and could readily be adapted to discriminate other mammalian species from faecal DNA.</description><subject>Alpine environments</subject><subject>Analysis</subject><subject>Animals</subject><subject>Artiodactyla</subject><subject>Artiodactyla - classification</subject><subject>Artiodactyla - genetics</subject><subject>Biology and Life Sciences</subject><subject>Cervidae</subject><subject>Conservation</subject><subject>Cytochrome</subject><subject>Cytochromes b - genetics</subject><subject>Deer</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA - analysis</subject><subject>DNA - genetics</subject><subject>DNA, Mitochondrial - genetics</subject><subject>Ecological monitoring</subject><subject>Ecology and Environmental Sciences</subject><subject>Electron Transport Complex IV - genetics</subject><subject>Feces</subject><subject>Genes</subject><subject>Genetic analysis</subject><subject>High resolution</subject><subject>Hybridization</subject><subject>Identification</subject><subject>Mammals</subject><subject>Meat industry</subject><subject>Melting</subject><subject>Methods</subject><subject>Mitochondrial DNA</subject><subject>Molecular Sequence Data</subject><subject>Multiplexing</subject><subject>New Zealand</subject><subject>Nucleic Acid Denaturation - genetics</subject><subject>Pests</subject><subject>Polymerase chain reaction</subject><subject>Preservation, Biological</subject><subject>Primers</subject><subject>Reference Standards</subject><subject>Reproducibility of Results</subject><subject>RNA</subject><subject>RNA, Ribosomal - genetics</subject><subject>rRNA 12S</subject><subject>Sheep</subject><subject>Species</subject><subject>Species Specificity</subject><subject>Strategic management</subject><subject>Studies</subject><subject>White-tailed deer</subject><subject>Wildlife conservation</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkmtr2zAUhs3YWNts_2BshkFhH5LpYvnyZRC6W6Cs0F2-iiP5yFFQrMyyx_rvpzROiWGDYbDF8fOem94keUHJgvKCvt34oWvBLXa-xQUhFSMZf5Sc04qzec4If3xyPksuQtgQIniZ50-TM5blvCgJO0_0LToLymFa26A7u7Ut9Na3qTcpJenQNoODHtOwQ20xpEOwbZOubbNOOwzeDffwFl2_j0Ns6C7YsFcbQA0uff9l-Sx5YsAFfD5-Z8n3jx--XX2eX998Wl0tr-c6r1g_jwPUcYyy5sAYrxWHMkMqVF0zo7nOaxCEKUUZMgMGeV7QjPEKFBCqhSr4LHl1yLtzPshxP0FSQUpSVoyJSKwORO1hI3dxXOjupAcr7wO-ayR0vdUOZSZiEaOEoWWZxdLxhUpUJBNEERELz5J3Y7VBbbHW2PYduEnS6Z_WrmXjf0leiTxeQ0zwekzQ-Z8Dhv4fLY9UA7Er2xofk-ltvCy5zIqyyElFqkgt_kLFp8at1dEhxsb4RPBmIohMj7_7BoYQ5Orr7f-zNz-m7OUJu0Zw_fpokzAFswOoOx9Ch-Zhc5TIvcGP25B7g8vR4FH28nTrD6Kjo_kfcjf2ag</recordid><startdate>20140317</startdate><enddate>20140317</enddate><creator>Ramón-Laca, Ana</creator><creator>Gleeson, Dianne</creator><creator>Yockney, Ivor</creator><creator>Perry, Michael</creator><creator>Nugent, Graham</creator><creator>Forsyth, David M</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>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>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140317</creationdate><title>Reliable discrimination of 10 ungulate species using high resolution melting analysis of faecal DNA</title><author>Ramón-Laca, Ana ; Gleeson, Dianne ; Yockney, Ivor ; Perry, Michael ; Nugent, Graham ; Forsyth, David M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-204d0928d3a223db3a84e15bdd2fc3c6da502bb12e2fafe36714239aba01c5b73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Alpine environments</topic><topic>Analysis</topic><topic>Animals</topic><topic>Artiodactyla</topic><topic>Artiodactyla - classification</topic><topic>Artiodactyla - genetics</topic><topic>Biology and Life Sciences</topic><topic>Cervidae</topic><topic>Conservation</topic><topic>Cytochrome</topic><topic>Cytochromes b - genetics</topic><topic>Deer</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>DNA - analysis</topic><topic>DNA - genetics</topic><topic>DNA, Mitochondrial - genetics</topic><topic>Ecological monitoring</topic><topic>Ecology and Environmental Sciences</topic><topic>Electron Transport Complex IV - genetics</topic><topic>Feces</topic><topic>Genes</topic><topic>Genetic analysis</topic><topic>High resolution</topic><topic>Hybridization</topic><topic>Identification</topic><topic>Mammals</topic><topic>Meat industry</topic><topic>Melting</topic><topic>Methods</topic><topic>Mitochondrial DNA</topic><topic>Molecular Sequence Data</topic><topic>Multiplexing</topic><topic>New Zealand</topic><topic>Nucleic Acid Denaturation - genetics</topic><topic>Pests</topic><topic>Polymerase chain reaction</topic><topic>Preservation, Biological</topic><topic>Primers</topic><topic>Reference Standards</topic><topic>Reproducibility of Results</topic><topic>RNA</topic><topic>RNA, Ribosomal - genetics</topic><topic>rRNA 12S</topic><topic>Sheep</topic><topic>Species</topic><topic>Species Specificity</topic><topic>Strategic management</topic><topic>Studies</topic><topic>White-tailed deer</topic><topic>Wildlife conservation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ramón-Laca, Ana</creatorcontrib><creatorcontrib>Gleeson, Dianne</creatorcontrib><creatorcontrib>Yockney, Ivor</creatorcontrib><creatorcontrib>Perry, Michael</creatorcontrib><creatorcontrib>Nugent, Graham</creatorcontrib><creatorcontrib>Forsyth, David M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</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>Proquest Health & Medical Complete</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest 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)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest 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 - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Open Access: DOAJ - Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ramón-Laca, Ana</au><au>Gleeson, Dianne</au><au>Yockney, Ivor</au><au>Perry, Michael</au><au>Nugent, Graham</au><au>Forsyth, David M</au><au>Maldonado, Jesus E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reliable discrimination of 10 ungulate species using high resolution melting analysis of faecal DNA</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-03-17</date><risdate>2014</risdate><volume>9</volume><issue>3</issue><spage>e92043</spage><pages>e92043-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Identifying species occupying an area is essential for many ecological and conservation studies. Faecal DNA is a potentially powerful method for identifying cryptic mammalian species. In New Zealand, 10 species of ungulate (Order: Artiodactyla) have established wild populations and are managed as pests because of their impacts on native ecosystems. However, identifying the ungulate species present within a management area based on pellet morphology is unreliable. We present a method that enables reliable identification of 10 ungulate species (red deer, sika deer, rusa deer, fallow deer, sambar deer, white-tailed deer, Himalayan tahr, Alpine chamois, feral sheep, and feral goat) from swabs of faecal pellets. A high resolution melting (HRM) assay, targeting a fragment of the 12S rRNA gene, was developed. Species-specific primers were designed and combined in a multiplex PCR resulting in fragments of different length and therefore different melting behaviour for each species. The method was developed using tissue from each of the 10 species, and was validated in blind trials. Our protocol enabled species to be determined for 94% of faecal pellet swabs collected during routine monitoring by the New Zealand Department of Conservation. Our HRM method enables high-throughput and cost-effective species identification from low DNA template samples, and could readily be adapted to discriminate other mammalian species from faecal DNA.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24637802</pmid><doi>10.1371/journal.pone.0092043</doi><tpages>e92043</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2014-03, Vol.9 (3), p.e92043 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1508089225 |
source | Open Access: PubMed Central; Publicly Available Content Database |
subjects | Alpine environments Analysis Animals Artiodactyla Artiodactyla - classification Artiodactyla - genetics Biology and Life Sciences Cervidae Conservation Cytochrome Cytochromes b - genetics Deer Deoxyribonucleic acid DNA DNA - analysis DNA - genetics DNA, Mitochondrial - genetics Ecological monitoring Ecology and Environmental Sciences Electron Transport Complex IV - genetics Feces Genes Genetic analysis High resolution Hybridization Identification Mammals Meat industry Melting Methods Mitochondrial DNA Molecular Sequence Data Multiplexing New Zealand Nucleic Acid Denaturation - genetics Pests Polymerase chain reaction Preservation, Biological Primers Reference Standards Reproducibility of Results RNA RNA, Ribosomal - genetics rRNA 12S Sheep Species Species Specificity Strategic management Studies White-tailed deer Wildlife conservation |
title | Reliable discrimination of 10 ungulate species using high resolution melting analysis of faecal DNA |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T23%3A32%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Reliable%20discrimination%20of%2010%20ungulate%20species%20using%20high%20resolution%20melting%20analysis%20of%20faecal%20DNA&rft.jtitle=PloS%20one&rft.au=Ram%C3%B3n-Laca,%20Ana&rft.date=2014-03-17&rft.volume=9&rft.issue=3&rft.spage=e92043&rft.pages=e92043-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0092043&rft_dat=%3Cgale_plos_%3EA478760909%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c692t-204d0928d3a223db3a84e15bdd2fc3c6da502bb12e2fafe36714239aba01c5b73%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1508089225&rft_id=info:pmid/24637802&rft_galeid=A478760909&rfr_iscdi=true |