Profiling Analysis of Filter Feeder Polypedilum (Chironomidae) Gut Contents Using eDNA Metabarcoding Following Contrasting Habitat Types-Weir and Stream
We analyzed the dietary composition of larvae among two contrasting habitats (river and weir). Our approach was (i) to apply eDNA-based sampling to reveal the gut content of the chironomid larvae, (ii) the diversity of gut contents in the two aquatic habitats, and (iii) assessment of habitat sedimen...
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| Veröffentlicht in: | International journal of environmental research and public health 2022-09, Vol.19 (17), p.10945 |
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| creator | Rangaswamy, Boobal Ji, Chang Woo Kim, Won-Seok Park, Jae-Won Kim, Yong Jun Kwak, Ihn-Sil |
| description | We analyzed the dietary composition of
larvae among two contrasting habitats (river and weir). Our approach was (i) to apply eDNA-based sampling to reveal the gut content of the chironomid larvae, (ii) the diversity of gut contents in the two aquatic habitats, and (iii) assessment of habitat sediment condition with the food sources in the gut. The most abundant food was Chlorophyta in the gut of the river (20%) and weir (39%) chironomids. The average ratio of fungi, protozoa, and zooplankton in river chironomids gut was 5.9%, 7.2%, and 3.8%, while it was found decreased to 1.2%, 2.5%, and 0.1% in weir chironomids. Aerobic fungi in river midge guts were 3.6% and 10.34% in SC and IS, while they were in the range of 0.34-2.58% in weir midges. The hierarchical clustering analysis showed a relationship of environmental factors with food contents. Abiotic factors (e.g., pH) in the river and weir habitats correlated the clustered pattern with phytoplankton and minor groups of fungi. This study could help understand the food source diversity in the chironomid and habitat environmental conditions by using eDNA metabarcoding as an effective tool to determine dietary composition. |
| doi_str_mv | 10.3390/ijerph191710945 |
| format | Article |
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larvae among two contrasting habitats (river and weir). Our approach was (i) to apply eDNA-based sampling to reveal the gut content of the chironomid larvae, (ii) the diversity of gut contents in the two aquatic habitats, and (iii) assessment of habitat sediment condition with the food sources in the gut. The most abundant food was Chlorophyta in the gut of the river (20%) and weir (39%) chironomids. The average ratio of fungi, protozoa, and zooplankton in river chironomids gut was 5.9%, 7.2%, and 3.8%, while it was found decreased to 1.2%, 2.5%, and 0.1% in weir chironomids. Aerobic fungi in river midge guts were 3.6% and 10.34% in SC and IS, while they were in the range of 0.34-2.58% in weir midges. The hierarchical clustering analysis showed a relationship of environmental factors with food contents. Abiotic factors (e.g., pH) in the river and weir habitats correlated the clustered pattern with phytoplankton and minor groups of fungi. This study could help understand the food source diversity in the chironomid and habitat environmental conditions by using eDNA metabarcoding as an effective tool to determine dietary composition.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph191710945</identifier><identifier>PMID: 36078662</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Abiotic factors ; Algae ; Animals ; Aquatic habitats ; Biodiversity ; Chelonia mydas ; Chironomidae ; Chironomidae - genetics ; Clustering ; Composition ; Crustaceans ; Diet ; Ecosystem ; Environmental conditions ; Environmental factors ; Food ; Food sources ; Fungi ; Habitats ; Larva - genetics ; Larvae ; Phytoplankton ; Phytoplankton - genetics ; Polypedilum ; Protozoa ; River ecology ; Rivers ; Taxonomy ; Water quality ; Zooplankton</subject><ispartof>International journal of environmental research and public health, 2022-09, Vol.19 (17), p.10945</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c375t-d29490dd790a8ca073cb96f3103c503a2d0cb563a25742c59b326c9196553b7e3</cites><orcidid>0000-0002-8270-9755</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517803/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517803/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36078662$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rangaswamy, Boobal</creatorcontrib><creatorcontrib>Ji, Chang Woo</creatorcontrib><creatorcontrib>Kim, Won-Seok</creatorcontrib><creatorcontrib>Park, Jae-Won</creatorcontrib><creatorcontrib>Kim, Yong Jun</creatorcontrib><creatorcontrib>Kwak, Ihn-Sil</creatorcontrib><title>Profiling Analysis of Filter Feeder Polypedilum (Chironomidae) Gut Contents Using eDNA Metabarcoding Following Contrasting Habitat Types-Weir and Stream</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>We analyzed the dietary composition of
larvae among two contrasting habitats (river and weir). Our approach was (i) to apply eDNA-based sampling to reveal the gut content of the chironomid larvae, (ii) the diversity of gut contents in the two aquatic habitats, and (iii) assessment of habitat sediment condition with the food sources in the gut. The most abundant food was Chlorophyta in the gut of the river (20%) and weir (39%) chironomids. The average ratio of fungi, protozoa, and zooplankton in river chironomids gut was 5.9%, 7.2%, and 3.8%, while it was found decreased to 1.2%, 2.5%, and 0.1% in weir chironomids. Aerobic fungi in river midge guts were 3.6% and 10.34% in SC and IS, while they were in the range of 0.34-2.58% in weir midges. The hierarchical clustering analysis showed a relationship of environmental factors with food contents. Abiotic factors (e.g., pH) in the river and weir habitats correlated the clustered pattern with phytoplankton and minor groups of fungi. This study could help understand the food source diversity in the chironomid and habitat environmental conditions by using eDNA metabarcoding as an effective tool to determine dietary composition.</description><subject>Abiotic factors</subject><subject>Algae</subject><subject>Animals</subject><subject>Aquatic habitats</subject><subject>Biodiversity</subject><subject>Chelonia mydas</subject><subject>Chironomidae</subject><subject>Chironomidae - genetics</subject><subject>Clustering</subject><subject>Composition</subject><subject>Crustaceans</subject><subject>Diet</subject><subject>Ecosystem</subject><subject>Environmental conditions</subject><subject>Environmental factors</subject><subject>Food</subject><subject>Food sources</subject><subject>Fungi</subject><subject>Habitats</subject><subject>Larva - genetics</subject><subject>Larvae</subject><subject>Phytoplankton</subject><subject>Phytoplankton - genetics</subject><subject>Polypedilum</subject><subject>Protozoa</subject><subject>River ecology</subject><subject>Rivers</subject><subject>Taxonomy</subject><subject>Water quality</subject><subject>Zooplankton</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkcFvFCEYxYnR2Fo9ezMkXvQwFoYBhovJZnVbk6pNbOORMPBNlw0zrMBo9j_xz3UmrU319L3A4_e98BB6Sck7xhQ59TtI-y1VVFKiGv4IHVMhSNUIQh8_0EfoWc47QljbCPUUHTFBZCtEfYx-X6bY--DHG7waTThkn3Hs8caHAglvANw8LmM47MH5MA34zXrrUxzj4J2Bt_hsKngdxwJjyfg6Lxz48GWFP0MxnUk2uuVoE0OIvxa1eJPJZdHnpvPFFHw1w3P1HXzCZnT4W0lghufoSW9Chhd38wRdbz5erc-ri69nn9ari8oyyUvlatUo4pxUxLTWEMlsp0TPKGGWE2ZqR2zHxSy4bGrLVcdqYRVVgnPWSWAn6P0tdz91AzgLS76g98kPJh10NF7_ezP6rb6JP7XiVLaEzYDXd4AUf0yQi97FKc1_mXUtKZ2T1KydXae3Lptizgn6-w2U6KVK_V-V84tXD4Pd-_92x_4AdYOdlQ</recordid><startdate>20220902</startdate><enddate>20220902</enddate><creator>Rangaswamy, Boobal</creator><creator>Ji, Chang Woo</creator><creator>Kim, Won-Seok</creator><creator>Park, Jae-Won</creator><creator>Kim, Yong Jun</creator><creator>Kwak, Ihn-Sil</creator><general>MDPI AG</general><general>MDPI</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8270-9755</orcidid></search><sort><creationdate>20220902</creationdate><title>Profiling Analysis of Filter Feeder Polypedilum (Chironomidae) Gut Contents Using eDNA Metabarcoding Following Contrasting Habitat Types-Weir and Stream</title><author>Rangaswamy, Boobal ; Ji, Chang Woo ; Kim, Won-Seok ; Park, Jae-Won ; Kim, Yong Jun ; Kwak, Ihn-Sil</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-d29490dd790a8ca073cb96f3103c503a2d0cb563a25742c59b326c9196553b7e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Abiotic factors</topic><topic>Algae</topic><topic>Animals</topic><topic>Aquatic habitats</topic><topic>Biodiversity</topic><topic>Chelonia mydas</topic><topic>Chironomidae</topic><topic>Chironomidae - genetics</topic><topic>Clustering</topic><topic>Composition</topic><topic>Crustaceans</topic><topic>Diet</topic><topic>Ecosystem</topic><topic>Environmental conditions</topic><topic>Environmental factors</topic><topic>Food</topic><topic>Food sources</topic><topic>Fungi</topic><topic>Habitats</topic><topic>Larva - genetics</topic><topic>Larvae</topic><topic>Phytoplankton</topic><topic>Phytoplankton - genetics</topic><topic>Polypedilum</topic><topic>Protozoa</topic><topic>River ecology</topic><topic>Rivers</topic><topic>Taxonomy</topic><topic>Water quality</topic><topic>Zooplankton</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rangaswamy, Boobal</creatorcontrib><creatorcontrib>Ji, Chang Woo</creatorcontrib><creatorcontrib>Kim, Won-Seok</creatorcontrib><creatorcontrib>Park, Jae-Won</creatorcontrib><creatorcontrib>Kim, Yong Jun</creatorcontrib><creatorcontrib>Kwak, Ihn-Sil</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</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>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rangaswamy, Boobal</au><au>Ji, Chang Woo</au><au>Kim, Won-Seok</au><au>Park, Jae-Won</au><au>Kim, Yong Jun</au><au>Kwak, Ihn-Sil</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Profiling Analysis of Filter Feeder Polypedilum (Chironomidae) Gut Contents Using eDNA Metabarcoding Following Contrasting Habitat Types-Weir and Stream</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2022-09-02</date><risdate>2022</risdate><volume>19</volume><issue>17</issue><spage>10945</spage><pages>10945-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>We analyzed the dietary composition of
larvae among two contrasting habitats (river and weir). Our approach was (i) to apply eDNA-based sampling to reveal the gut content of the chironomid larvae, (ii) the diversity of gut contents in the two aquatic habitats, and (iii) assessment of habitat sediment condition with the food sources in the gut. The most abundant food was Chlorophyta in the gut of the river (20%) and weir (39%) chironomids. The average ratio of fungi, protozoa, and zooplankton in river chironomids gut was 5.9%, 7.2%, and 3.8%, while it was found decreased to 1.2%, 2.5%, and 0.1% in weir chironomids. Aerobic fungi in river midge guts were 3.6% and 10.34% in SC and IS, while they were in the range of 0.34-2.58% in weir midges. The hierarchical clustering analysis showed a relationship of environmental factors with food contents. Abiotic factors (e.g., pH) in the river and weir habitats correlated the clustered pattern with phytoplankton and minor groups of fungi. This study could help understand the food source diversity in the chironomid and habitat environmental conditions by using eDNA metabarcoding as an effective tool to determine dietary composition.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36078662</pmid><doi>10.3390/ijerph191710945</doi><orcidid>https://orcid.org/0000-0002-8270-9755</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MDPI - Multidisciplinary Digital Publishing Institute; MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; PubMed Central Open Access |
| subjects | Abiotic factors Algae Animals Aquatic habitats Biodiversity Chelonia mydas Chironomidae Chironomidae - genetics Clustering Composition Crustaceans Diet Ecosystem Environmental conditions Environmental factors Food Food sources Fungi Habitats Larva - genetics Larvae Phytoplankton Phytoplankton - genetics Polypedilum Protozoa River ecology Rivers Taxonomy Water quality Zooplankton |
| title | Profiling Analysis of Filter Feeder Polypedilum (Chironomidae) Gut Contents Using eDNA Metabarcoding Following Contrasting Habitat Types-Weir and Stream |
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