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Faecal metabarcoding provides improved detection and taxonomic resolution for non-invasive monitoring of gastrointestinal nematode parasites in wild moose populations
Although wild ungulate populations are heavily monitored throughout Europe, we understand little of how parasites affect population dynamics, and there is no systematic, long-term monitoring of parasite diversity and parasite loads. Such monitoring is in part hampered by a lack of time- and cost-eff...
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Published in: | Parasites & vectors 2023-01, Vol.16 (1), p.19-19, Article 19 |
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description | Although wild ungulate populations are heavily monitored throughout Europe, we understand little of how parasites affect population dynamics, and there is no systematic, long-term monitoring of parasite diversity and parasite loads. Such monitoring is in part hampered by a lack of time- and cost-effective assay methodologies with high sensitivity and good taxonomic resolution. DNA metabarcoding has been successfully used to characterize the parasitic nemabiome with high taxonomic resolution in a variety of wild and domestic hosts. However, in order to implement this technique in large-scale, potentially non-invasive monitoring of gastrointestinal parasitic nematodes (GIN), protocol optimization is required to maximize biodiversity detection, whilst maintaining time- and cost-effectiveness.
Faecal samples were collected from a wild moose population and GIN communities were characterized and quantified using both parasitological techniques (egg and larva counting) and DNA metabarcoding of the ITS2 region of rDNA. Three different isolation methods were compared that differed in the volume of starting material and cell lysis method.
Similar nematode faunas were recovered from all samples using both parasitological and metabarcoding methods, and the approaches were largely congruent. However, metabarcoding assays showed better taxonomic resolution and slightly higher sensitivity than egg and larvae counts. The metabarcoding was not strictly quantitative, but the proportion of target nematode sequences recovered was correlated with the parasitologically determined parasite load. Species detection rates in the metabarcoding assays were maximized using a DNA isolation method that included mechanical cell disruption and maximized the starting material volume.
DNA metabarcoding is a promising technique for the non-invasive, large-scale monitoring of parasitic GINs in wild ungulate populations, owing to its high taxonomic resolution, increased assay sensitivity, and time- and cost-effectiveness. Although metabarcoding is not a strictly quantitative method, it may nonetheless be possible to create a management- and conservation-relevant index for the host parasite load from this data. To optimize the detection rates and time- and cost-effectiveness of metabarcoding assays, we recommend choosing a DNA isolation method that involves mechanical cell disruption and maximizes the starting material volume. |
doi_str_mv | 10.1186/s13071-022-05644-6 |
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Faecal samples were collected from a wild moose population and GIN communities were characterized and quantified using both parasitological techniques (egg and larva counting) and DNA metabarcoding of the ITS2 region of rDNA. Three different isolation methods were compared that differed in the volume of starting material and cell lysis method.
Similar nematode faunas were recovered from all samples using both parasitological and metabarcoding methods, and the approaches were largely congruent. However, metabarcoding assays showed better taxonomic resolution and slightly higher sensitivity than egg and larvae counts. The metabarcoding was not strictly quantitative, but the proportion of target nematode sequences recovered was correlated with the parasitologically determined parasite load. Species detection rates in the metabarcoding assays were maximized using a DNA isolation method that included mechanical cell disruption and maximized the starting material volume.
DNA metabarcoding is a promising technique for the non-invasive, large-scale monitoring of parasitic GINs in wild ungulate populations, owing to its high taxonomic resolution, increased assay sensitivity, and time- and cost-effectiveness. Although metabarcoding is not a strictly quantitative method, it may nonetheless be possible to create a management- and conservation-relevant index for the host parasite load from this data. To optimize the detection rates and time- and cost-effectiveness of metabarcoding assays, we recommend choosing a DNA isolation method that involves mechanical cell disruption and maximizes the starting material volume.</description><identifier>ISSN: 1756-3305</identifier><identifier>EISSN: 1756-3305</identifier><identifier>DOI: 10.1186/s13071-022-05644-6</identifier><identifier>PMID: 36653864</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Alces alces ; Animals ; Animals, Wild ; Biodiversity ; Care and treatment ; Deer ; Diagnosis ; Diseases ; DNA barcoding ; DNA Barcoding, Taxonomic - methods ; DNA extraction method ; DNA, Ribosomal - genetics ; Genetic aspects ; Host-parasite relationships ; Intestinal Diseases, Parasitic - parasitology ; ITS2 ; Metabarcoding ; Methods ; NC1–NC2 primers ; Nemabiome ; Nematoda ; Parasites - genetics ; Roundworm infections</subject><ispartof>Parasites & vectors, 2023-01, Vol.16 (1), p.19-19, Article 19</ispartof><rights>2023. The Author(s).</rights><rights>COPYRIGHT 2023 BioMed Central Ltd.</rights><rights>The Author(s) 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c569t-b960f82c69067b28f13f0f665cd8f37364185d7ae3befd3e46eab26d62f578a73</citedby><cites>FETCH-LOGICAL-c569t-b960f82c69067b28f13f0f665cd8f37364185d7ae3befd3e46eab26d62f578a73</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/PMC9847159/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9847159/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,37013,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36653864$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Davey, Marie L</creatorcontrib><creatorcontrib>Kamenova, Stefaniya</creatorcontrib><creatorcontrib>Fossøy, Frode</creatorcontrib><creatorcontrib>Solberg, Erling J</creatorcontrib><creatorcontrib>Davidson, Rebecca</creatorcontrib><creatorcontrib>Mysterud, Atle</creatorcontrib><creatorcontrib>Rolandsen, Christer M</creatorcontrib><title>Faecal metabarcoding provides improved detection and taxonomic resolution for non-invasive monitoring of gastrointestinal nematode parasites in wild moose populations</title><title>Parasites & vectors</title><addtitle>Parasit Vectors</addtitle><description>Although wild ungulate populations are heavily monitored throughout Europe, we understand little of how parasites affect population dynamics, and there is no systematic, long-term monitoring of parasite diversity and parasite loads. Such monitoring is in part hampered by a lack of time- and cost-effective assay methodologies with high sensitivity and good taxonomic resolution. DNA metabarcoding has been successfully used to characterize the parasitic nemabiome with high taxonomic resolution in a variety of wild and domestic hosts. However, in order to implement this technique in large-scale, potentially non-invasive monitoring of gastrointestinal parasitic nematodes (GIN), protocol optimization is required to maximize biodiversity detection, whilst maintaining time- and cost-effectiveness.
Faecal samples were collected from a wild moose population and GIN communities were characterized and quantified using both parasitological techniques (egg and larva counting) and DNA metabarcoding of the ITS2 region of rDNA. Three different isolation methods were compared that differed in the volume of starting material and cell lysis method.
Similar nematode faunas were recovered from all samples using both parasitological and metabarcoding methods, and the approaches were largely congruent. However, metabarcoding assays showed better taxonomic resolution and slightly higher sensitivity than egg and larvae counts. The metabarcoding was not strictly quantitative, but the proportion of target nematode sequences recovered was correlated with the parasitologically determined parasite load. Species detection rates in the metabarcoding assays were maximized using a DNA isolation method that included mechanical cell disruption and maximized the starting material volume.
DNA metabarcoding is a promising technique for the non-invasive, large-scale monitoring of parasitic GINs in wild ungulate populations, owing to its high taxonomic resolution, increased assay sensitivity, and time- and cost-effectiveness. Although metabarcoding is not a strictly quantitative method, it may nonetheless be possible to create a management- and conservation-relevant index for the host parasite load from this data. To optimize the detection rates and time- and cost-effectiveness of metabarcoding assays, we recommend choosing a DNA isolation method that involves mechanical cell disruption and maximizes the starting material volume.</description><subject>Alces alces</subject><subject>Animals</subject><subject>Animals, Wild</subject><subject>Biodiversity</subject><subject>Care and treatment</subject><subject>Deer</subject><subject>Diagnosis</subject><subject>Diseases</subject><subject>DNA barcoding</subject><subject>DNA Barcoding, Taxonomic - methods</subject><subject>DNA extraction method</subject><subject>DNA, Ribosomal - genetics</subject><subject>Genetic aspects</subject><subject>Host-parasite relationships</subject><subject>Intestinal Diseases, Parasitic - parasitology</subject><subject>ITS2</subject><subject>Metabarcoding</subject><subject>Methods</subject><subject>NC1–NC2 primers</subject><subject>Nemabiome</subject><subject>Nematoda</subject><subject>Parasites - genetics</subject><subject>Roundworm infections</subject><issn>1756-3305</issn><issn>1756-3305</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNptks1u1DAUhSMEoqXwAiyQJTawSHFix3Y2SFVFYaRKSPysLce-Dq4Se7CdobwQz4kzU6qOhLywdX3Od_1zquplg8-bRrB3qSGYNzVu2xp3jNKaPapOG96xmhDcPX6wPqmepXSDMcN9x55WJ4SxjghGT6s_Vwq0mtAMWQ0q6mCcH9E2hp0zkJCb1yUYZCCDzi54pLxBWd0GH2anUYQUpmW_YUNEPvja-Z1KbgdoDt7lEFdgsGhUKcfgfIaUnS8tPcwqBwNoq2Ix5LWdR7_cZIozpFIP22VSKzs9r55YNSV4cTefVd-vPny7_FRff_64uby4rnXH-lwPPcNWtJr1mPGhFbYhFttyWW2EJZww2ojOcAVkAGsIUAZqaJlhre24UJycVZsD1wR1I7fRzSr-lkE5uS-EOEoVs9MTyIFoKwqODpRQywfVgikzUEyZIBwX1vsDa7sMMxgNPkc1HUGPd7z7Icewk72gvOn6AnhzB4jh51KeTc4uaZgm5SEsSbac8YaJDq-9Xh-koypHc96GQtSrXF5wQjilol-B5_9RlWGg_GXwYF2pHxneHhmKJsNtHtWSktx8_XKsbQ9aHUNKEez9TRss17zKQ15lyavc51WyYnr18I3uLf8CSv4C2_TqgQ</recordid><startdate>20230118</startdate><enddate>20230118</enddate><creator>Davey, Marie L</creator><creator>Kamenova, Stefaniya</creator><creator>Fossøy, Frode</creator><creator>Solberg, Erling J</creator><creator>Davidson, Rebecca</creator><creator>Mysterud, Atle</creator><creator>Rolandsen, Christer M</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</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>ISR</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20230118</creationdate><title>Faecal metabarcoding provides improved detection and taxonomic resolution for non-invasive monitoring of gastrointestinal nematode parasites in wild moose populations</title><author>Davey, Marie L ; Kamenova, Stefaniya ; Fossøy, Frode ; Solberg, Erling J ; Davidson, Rebecca ; Mysterud, Atle ; Rolandsen, Christer M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c569t-b960f82c69067b28f13f0f665cd8f37364185d7ae3befd3e46eab26d62f578a73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Alces alces</topic><topic>Animals</topic><topic>Animals, Wild</topic><topic>Biodiversity</topic><topic>Care and treatment</topic><topic>Deer</topic><topic>Diagnosis</topic><topic>Diseases</topic><topic>DNA barcoding</topic><topic>DNA Barcoding, Taxonomic - methods</topic><topic>DNA extraction method</topic><topic>DNA, Ribosomal - genetics</topic><topic>Genetic aspects</topic><topic>Host-parasite relationships</topic><topic>Intestinal Diseases, Parasitic - parasitology</topic><topic>ITS2</topic><topic>Metabarcoding</topic><topic>Methods</topic><topic>NC1–NC2 primers</topic><topic>Nemabiome</topic><topic>Nematoda</topic><topic>Parasites - genetics</topic><topic>Roundworm infections</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Davey, Marie L</creatorcontrib><creatorcontrib>Kamenova, Stefaniya</creatorcontrib><creatorcontrib>Fossøy, Frode</creatorcontrib><creatorcontrib>Solberg, Erling J</creatorcontrib><creatorcontrib>Davidson, Rebecca</creatorcontrib><creatorcontrib>Mysterud, Atle</creatorcontrib><creatorcontrib>Rolandsen, Christer 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: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Parasites & vectors</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Davey, Marie L</au><au>Kamenova, Stefaniya</au><au>Fossøy, Frode</au><au>Solberg, Erling J</au><au>Davidson, Rebecca</au><au>Mysterud, Atle</au><au>Rolandsen, Christer M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Faecal metabarcoding provides improved detection and taxonomic resolution for non-invasive monitoring of gastrointestinal nematode parasites in wild moose populations</atitle><jtitle>Parasites & vectors</jtitle><addtitle>Parasit Vectors</addtitle><date>2023-01-18</date><risdate>2023</risdate><volume>16</volume><issue>1</issue><spage>19</spage><epage>19</epage><pages>19-19</pages><artnum>19</artnum><issn>1756-3305</issn><eissn>1756-3305</eissn><abstract>Although wild ungulate populations are heavily monitored throughout Europe, we understand little of how parasites affect population dynamics, and there is no systematic, long-term monitoring of parasite diversity and parasite loads. Such monitoring is in part hampered by a lack of time- and cost-effective assay methodologies with high sensitivity and good taxonomic resolution. DNA metabarcoding has been successfully used to characterize the parasitic nemabiome with high taxonomic resolution in a variety of wild and domestic hosts. However, in order to implement this technique in large-scale, potentially non-invasive monitoring of gastrointestinal parasitic nematodes (GIN), protocol optimization is required to maximize biodiversity detection, whilst maintaining time- and cost-effectiveness.
Faecal samples were collected from a wild moose population and GIN communities were characterized and quantified using both parasitological techniques (egg and larva counting) and DNA metabarcoding of the ITS2 region of rDNA. Three different isolation methods were compared that differed in the volume of starting material and cell lysis method.
Similar nematode faunas were recovered from all samples using both parasitological and metabarcoding methods, and the approaches were largely congruent. However, metabarcoding assays showed better taxonomic resolution and slightly higher sensitivity than egg and larvae counts. The metabarcoding was not strictly quantitative, but the proportion of target nematode sequences recovered was correlated with the parasitologically determined parasite load. Species detection rates in the metabarcoding assays were maximized using a DNA isolation method that included mechanical cell disruption and maximized the starting material volume.
DNA metabarcoding is a promising technique for the non-invasive, large-scale monitoring of parasitic GINs in wild ungulate populations, owing to its high taxonomic resolution, increased assay sensitivity, and time- and cost-effectiveness. Although metabarcoding is not a strictly quantitative method, it may nonetheless be possible to create a management- and conservation-relevant index for the host parasite load from this data. To optimize the detection rates and time- and cost-effectiveness of metabarcoding assays, we recommend choosing a DNA isolation method that involves mechanical cell disruption and maximizes the starting material volume.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>36653864</pmid><doi>10.1186/s13071-022-05644-6</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Alces alces Animals Animals, Wild Biodiversity Care and treatment Deer Diagnosis Diseases DNA barcoding DNA Barcoding, Taxonomic - methods DNA extraction method DNA, Ribosomal - genetics Genetic aspects Host-parasite relationships Intestinal Diseases, Parasitic - parasitology ITS2 Metabarcoding Methods NC1–NC2 primers Nemabiome Nematoda Parasites - genetics Roundworm infections |
title | Faecal metabarcoding provides improved detection and taxonomic resolution for non-invasive monitoring of gastrointestinal nematode parasites in wild moose populations |
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