Spatial and temporal dynamics of a freshwater eukaryotic plankton community revealed via 18S rRNA gene metabarcoding
DNA metabarcoding is a sophisticated molecular tool that can enhance biological surveys of freshwater plankton communities by providing broader taxonomic coverage and, for certain groups, higher taxonomic resolution compared to morphological methods. We conducted 18S rRNA gene metabarcoding analyses...
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Veröffentlicht in: | Hydrobiologia 2018-08, Vol.818 (1), p.71-86 |
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description | DNA metabarcoding is a sophisticated molecular tool that can enhance biological surveys of freshwater plankton communities by providing broader taxonomic coverage and, for certain groups, higher taxonomic resolution compared to morphological methods. We conducted 18S rRNA gene metabarcoding analyses on 214 water samples collected over a four-month period from multiple sites within a freshwater reservoir. We detected 1,314 unique operational taxonomic units that included various metazoans, protists, chlorophytes, and fungi. Alpha diversity differed among sites, suggesting local habitat variation linked to differing species responses. Strong temporal variation was detected at both daily and monthly scales. Diversity and relative abundance patterns for several protist groups (including dinoflagellates, ciliates, and cryptophytes) differed from arthropods (e.g., cladocerans and copepods), a traditional focus of plankton surveys. This suggests that the protists respond to different environmental dimensions and may therefore provide additional information regarding ecosystem status. Comparison of the sequence-based population survey data to conventional-based data revealed similar trends for taxa that were ranked among the most abundant in both approaches, although some groups were missing in each data set. These results highlight the potential benefit of supplementing conventional biological survey approaches with metabarcoding to obtain a more comprehensive understanding of freshwater plankton community structure and dynamics. |
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We conducted 18S rRNA gene metabarcoding analyses on 214 water samples collected over a four-month period from multiple sites within a freshwater reservoir. We detected 1,314 unique operational taxonomic units that included various metazoans, protists, chlorophytes, and fungi. Alpha diversity differed among sites, suggesting local habitat variation linked to differing species responses. Strong temporal variation was detected at both daily and monthly scales. Diversity and relative abundance patterns for several protist groups (including dinoflagellates, ciliates, and cryptophytes) differed from arthropods (e.g., cladocerans and copepods), a traditional focus of plankton surveys. This suggests that the protists respond to different environmental dimensions and may therefore provide additional information regarding ecosystem status. Comparison of the sequence-based population survey data to conventional-based data revealed similar trends for taxa that were ranked among the most abundant in both approaches, although some groups were missing in each data set. These results highlight the potential benefit of supplementing conventional biological survey approaches with metabarcoding to obtain a more comprehensive understanding of freshwater plankton community structure and dynamics.</description><identifier>ISSN: 0018-8158</identifier><identifier>EISSN: 1573-5117</identifier><identifier>DOI: 10.1007/s10750-018-3593-0</identifier><identifier>PMID: 31595089</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Analysis ; Aquatic crustaceans ; Arthropods ; Biodiversity ; Biological effects ; Biological surveys ; Biomedical and Life Sciences ; Ciliates ; Ciliophora ; Cladocera ; Communities ; Community structure ; Copepoda ; Data ; data collection ; Deoxyribonucleic acid ; Dimensions ; Dinoflagellates ; DNA ; DNA barcoding ; Dynamics ; Ecology ; Ecosystems ; Fresh water ; Freshwater ; Freshwater & Marine Ecology ; Fungi ; Genes ; habitats ; Inland water environment ; Life Sciences ; Miozoa ; Nucleotide sequence ; Plankton ; Plankton surveys ; Primary Research Paper ; Protists ; Rankings ; Relative abundance ; Reservoirs (Water) ; ribosomal RNA ; RNA ; rRNA 18S ; species diversity ; Surveying ; surveys ; Taxonomy ; temporal variation ; Temporal variations ; Water analysis ; Water sampling ; Zoology</subject><ispartof>Hydrobiologia, 2018-08, Vol.818 (1), p.71-86</ispartof><rights>This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2018</rights><rights>COPYRIGHT 2018 Springer</rights><rights>Hydrobiologia is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c619t-65955e96dd72ab10239719978328c045ae64b41872023dc1896a9869052f7a53</citedby><cites>FETCH-LOGICAL-c619t-65955e96dd72ab10239719978328c045ae64b41872023dc1896a9869052f7a53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10750-018-3593-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10750-018-3593-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Banerji, A.</creatorcontrib><creatorcontrib>Bagley, M.</creatorcontrib><creatorcontrib>Elk, M.</creatorcontrib><creatorcontrib>Pilgrim, E.</creatorcontrib><creatorcontrib>Martinson, J.</creatorcontrib><creatorcontrib>Santo Domingo, J.</creatorcontrib><title>Spatial and temporal dynamics of a freshwater eukaryotic plankton community revealed via 18S rRNA gene metabarcoding</title><title>Hydrobiologia</title><addtitle>Hydrobiologia</addtitle><description>DNA metabarcoding is a sophisticated molecular tool that can enhance biological surveys of freshwater plankton communities by providing broader taxonomic coverage and, for certain groups, higher taxonomic resolution compared to morphological methods. We conducted 18S rRNA gene metabarcoding analyses on 214 water samples collected over a four-month period from multiple sites within a freshwater reservoir. We detected 1,314 unique operational taxonomic units that included various metazoans, protists, chlorophytes, and fungi. Alpha diversity differed among sites, suggesting local habitat variation linked to differing species responses. Strong temporal variation was detected at both daily and monthly scales. Diversity and relative abundance patterns for several protist groups (including dinoflagellates, ciliates, and cryptophytes) differed from arthropods (e.g., cladocerans and copepods), a traditional focus of plankton surveys. This suggests that the protists respond to different environmental dimensions and may therefore provide additional information regarding ecosystem status. Comparison of the sequence-based population survey data to conventional-based data revealed similar trends for taxa that were ranked among the most abundant in both approaches, although some groups were missing in each data set. These results highlight the potential benefit of supplementing conventional biological survey approaches with metabarcoding to obtain a more comprehensive understanding of freshwater plankton community structure and dynamics.</description><subject>Analysis</subject><subject>Aquatic crustaceans</subject><subject>Arthropods</subject><subject>Biodiversity</subject><subject>Biological effects</subject><subject>Biological surveys</subject><subject>Biomedical and Life Sciences</subject><subject>Ciliates</subject><subject>Ciliophora</subject><subject>Cladocera</subject><subject>Communities</subject><subject>Community structure</subject><subject>Copepoda</subject><subject>Data</subject><subject>data collection</subject><subject>Deoxyribonucleic acid</subject><subject>Dimensions</subject><subject>Dinoflagellates</subject><subject>DNA</subject><subject>DNA barcoding</subject><subject>Dynamics</subject><subject>Ecology</subject><subject>Ecosystems</subject><subject>Fresh water</subject><subject>Freshwater</subject><subject>Freshwater & Marine Ecology</subject><subject>Fungi</subject><subject>Genes</subject><subject>habitats</subject><subject>Inland water environment</subject><subject>Life Sciences</subject><subject>Miozoa</subject><subject>Nucleotide sequence</subject><subject>Plankton</subject><subject>Plankton surveys</subject><subject>Primary Research Paper</subject><subject>Protists</subject><subject>Rankings</subject><subject>Relative abundance</subject><subject>Reservoirs (Water)</subject><subject>ribosomal RNA</subject><subject>RNA</subject><subject>rRNA 18S</subject><subject>species diversity</subject><subject>Surveying</subject><subject>surveys</subject><subject>Taxonomy</subject><subject>temporal variation</subject><subject>Temporal variations</subject><subject>Water analysis</subject><subject>Water 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A.</au><au>Bagley, M.</au><au>Elk, M.</au><au>Pilgrim, E.</au><au>Martinson, J.</au><au>Santo Domingo, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial and temporal dynamics of a freshwater eukaryotic plankton community revealed via 18S rRNA gene metabarcoding</atitle><jtitle>Hydrobiologia</jtitle><stitle>Hydrobiologia</stitle><date>2018-08-01</date><risdate>2018</risdate><volume>818</volume><issue>1</issue><spage>71</spage><epage>86</epage><pages>71-86</pages><issn>0018-8158</issn><eissn>1573-5117</eissn><abstract>DNA metabarcoding is a sophisticated molecular tool that can enhance biological surveys of freshwater plankton communities by providing broader taxonomic coverage and, for certain groups, higher taxonomic resolution compared to morphological methods. 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Comparison of the sequence-based population survey data to conventional-based data revealed similar trends for taxa that were ranked among the most abundant in both approaches, although some groups were missing in each data set. These results highlight the potential benefit of supplementing conventional biological survey approaches with metabarcoding to obtain a more comprehensive understanding of freshwater plankton community structure and dynamics.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>31595089</pmid><doi>10.1007/s10750-018-3593-0</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Aquatic crustaceans Arthropods Biodiversity Biological effects Biological surveys Biomedical and Life Sciences Ciliates Ciliophora Cladocera Communities Community structure Copepoda Data data collection Deoxyribonucleic acid Dimensions Dinoflagellates DNA DNA barcoding Dynamics Ecology Ecosystems Fresh water Freshwater Freshwater & Marine Ecology Fungi Genes habitats Inland water environment Life Sciences Miozoa Nucleotide sequence Plankton Plankton surveys Primary Research Paper Protists Rankings Relative abundance Reservoirs (Water) ribosomal RNA RNA rRNA 18S species diversity Surveying surveys Taxonomy temporal variation Temporal variations Water analysis Water sampling Zoology |
title | Spatial and temporal dynamics of a freshwater eukaryotic plankton community revealed via 18S rRNA gene metabarcoding |
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