Metacommunity analysis of amoeboid protists in grassland soils
This study reveals the diversity and distribution of two major ubiquitous groups of soil amoebae, the genus Acanthamoeba and the Myxomycetes (plasmodial slime-moulds) that are rarely, if ever, recovered in environmental sampling studies. We analyzed 150 grassland soil samples from three Biodiversity...
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description | This study reveals the diversity and distribution of two major ubiquitous groups of soil amoebae, the genus
Acanthamoeba
and the Myxomycetes (plasmodial slime-moulds) that are rarely, if ever, recovered in environmental sampling studies. We analyzed 150 grassland soil samples from three Biodiversity Exploratories study regions in Germany. We developed specific primers targeting the V2 variable region in the first part of the small subunit of the ribosomal RNA gene for high-throughput pyrotag sequencing. From ca. 1 million reads, applying very stringent filtering and clustering parameters to avoid overestimation of the diversity, we obtained 273 acanthamoebal and 338 myxomycete operational taxonomic units (OTUs, 96% similarity threshold). This number is consistent with the genetic diversity known in the two investigated lineages, but unequalled to date by any environmental sampling study. Only very few OTUs were identical to already known sequences. Strikingly different OTUs assemblages were found between the three German regions (PerMANOVA p.value = 0.001) and even between sites of the same region (multiple-site Simpson-based similarity indices |
doi_str_mv | 10.1038/srep19068 |
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Acanthamoeba
and the Myxomycetes (plasmodial slime-moulds) that are rarely, if ever, recovered in environmental sampling studies. We analyzed 150 grassland soil samples from three Biodiversity Exploratories study regions in Germany. We developed specific primers targeting the V2 variable region in the first part of the small subunit of the ribosomal RNA gene for high-throughput pyrotag sequencing. From ca. 1 million reads, applying very stringent filtering and clustering parameters to avoid overestimation of the diversity, we obtained 273 acanthamoebal and 338 myxomycete operational taxonomic units (OTUs, 96% similarity threshold). This number is consistent with the genetic diversity known in the two investigated lineages, but unequalled to date by any environmental sampling study. Only very few OTUs were identical to already known sequences. Strikingly different OTUs assemblages were found between the three German regions (PerMANOVA p.value = 0.001) and even between sites of the same region (multiple-site Simpson-based similarity indices <0.4), showing steep biogeographical gradients.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/srep19068</identifier><identifier>PMID: 26750872</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/158/2453 ; 631/158/670 ; 631/158/855 ; 631/326/171/1818 ; Amoeba - genetics ; Biodiversity ; Cluster Analysis ; Environmental monitoring ; Genetic diversity ; Genetic Variation ; Grassland ; Grasslands ; Humanities and Social Sciences ; Metagenomics ; multidisciplinary ; Phylogeny ; Primers ; Principal Component Analysis ; rRNA ; Sampling ; Science ; Soil - parasitology ; Taxonomy ; Variable region</subject><ispartof>Scientific reports, 2016-01, Vol.6 (1), p.19068-19068, Article 19068</ispartof><rights>The Author(s) 2016</rights><rights>Copyright Nature Publishing Group Jan 2016</rights><rights>Copyright © 2016, Macmillan Publishers Limited 2016 Macmillan Publishers Limited</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c504t-4a065bbf0331f48bf60a6fa01a15b857e5e7e0e8c3ef427d2a62426d315fe5003</citedby><cites>FETCH-LOGICAL-c504t-4a065bbf0331f48bf60a6fa01a15b857e5e7e0e8c3ef427d2a62426d315fe5003</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/PMC4707496/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707496/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,27905,27906,41101,42170,51557,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26750872$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fiore-Donno, Anna Maria</creatorcontrib><creatorcontrib>Weinert, Jan</creatorcontrib><creatorcontrib>Wubet, Tesfaye</creatorcontrib><creatorcontrib>Bonkowski, Michael</creatorcontrib><title>Metacommunity analysis of amoeboid protists in grassland soils</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>This study reveals the diversity and distribution of two major ubiquitous groups of soil amoebae, the genus
Acanthamoeba
and the Myxomycetes (plasmodial slime-moulds) that are rarely, if ever, recovered in environmental sampling studies. We analyzed 150 grassland soil samples from three Biodiversity Exploratories study regions in Germany. We developed specific primers targeting the V2 variable region in the first part of the small subunit of the ribosomal RNA gene for high-throughput pyrotag sequencing. From ca. 1 million reads, applying very stringent filtering and clustering parameters to avoid overestimation of the diversity, we obtained 273 acanthamoebal and 338 myxomycete operational taxonomic units (OTUs, 96% similarity threshold). This number is consistent with the genetic diversity known in the two investigated lineages, but unequalled to date by any environmental sampling study. Only very few OTUs were identical to already known sequences. Strikingly different OTUs assemblages were found between the three German regions (PerMANOVA p.value = 0.001) and even between sites of the same region (multiple-site Simpson-based similarity indices <0.4), showing steep biogeographical gradients.</description><subject>631/158/2453</subject><subject>631/158/670</subject><subject>631/158/855</subject><subject>631/326/171/1818</subject><subject>Amoeba - genetics</subject><subject>Biodiversity</subject><subject>Cluster Analysis</subject><subject>Environmental monitoring</subject><subject>Genetic diversity</subject><subject>Genetic Variation</subject><subject>Grassland</subject><subject>Grasslands</subject><subject>Humanities and Social Sciences</subject><subject>Metagenomics</subject><subject>multidisciplinary</subject><subject>Phylogeny</subject><subject>Primers</subject><subject>Principal Component Analysis</subject><subject>rRNA</subject><subject>Sampling</subject><subject>Science</subject><subject>Soil - parasitology</subject><subject>Taxonomy</subject><subject>Variable region</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNplkU1LxDAQhoMoKqsH_4AUvKiwOkmTNL0IIn6B4kXPIW2TNdI2a6YV9t8bWV1WncsMzMM7Hy8hBxTOKOTqHKOd0xKk2iC7DLiYspyxzbV6h-wjvkEKwUpOy22yw2QhQBVsl1w82sHUoevG3g-LzPSmXaDHLLjMdMFWwTfZPIbB44CZ77NZNIit6ZsMg29xj2w506Ld_84T8nJz_Xx1N314ur2_unyY1gL4MOUGpKgqB3lOHVeVk2CkM0ANFZUShRW2sGBVnVvHWdEwIxlnssmpcFYA5BNysdSdj1Vnm9r2QzStnkffmbjQwXj9u9P7Vz0LH5oXUPBSJoHjb4EY3keLg-481rZNp9gwoqaFBKVKCiqhR3_QtzDG9JhEqbIEzvKSJepkSdUxYPLArZahoL-M0StjEnu4vv2K_LEhAadLAFOrn9m4NvKf2ifbcJex</recordid><startdate>20160111</startdate><enddate>20160111</enddate><creator>Fiore-Donno, Anna Maria</creator><creator>Weinert, Jan</creator><creator>Wubet, Tesfaye</creator><creator>Bonkowski, Michael</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><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>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160111</creationdate><title>Metacommunity analysis of amoeboid protists in grassland soils</title><author>Fiore-Donno, Anna Maria ; Weinert, Jan ; Wubet, Tesfaye ; Bonkowski, Michael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c504t-4a065bbf0331f48bf60a6fa01a15b857e5e7e0e8c3ef427d2a62426d315fe5003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>631/158/2453</topic><topic>631/158/670</topic><topic>631/158/855</topic><topic>631/326/171/1818</topic><topic>Amoeba - genetics</topic><topic>Biodiversity</topic><topic>Cluster Analysis</topic><topic>Environmental monitoring</topic><topic>Genetic diversity</topic><topic>Genetic Variation</topic><topic>Grassland</topic><topic>Grasslands</topic><topic>Humanities and Social Sciences</topic><topic>Metagenomics</topic><topic>multidisciplinary</topic><topic>Phylogeny</topic><topic>Primers</topic><topic>Principal Component Analysis</topic><topic>rRNA</topic><topic>Sampling</topic><topic>Science</topic><topic>Soil - parasitology</topic><topic>Taxonomy</topic><topic>Variable region</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fiore-Donno, Anna Maria</creatorcontrib><creatorcontrib>Weinert, Jan</creatorcontrib><creatorcontrib>Wubet, Tesfaye</creatorcontrib><creatorcontrib>Bonkowski, Michael</creatorcontrib><collection>Springer Nature OA Free Journals</collection><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>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech 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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</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 Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science 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 Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fiore-Donno, Anna Maria</au><au>Weinert, Jan</au><au>Wubet, Tesfaye</au><au>Bonkowski, Michael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metacommunity analysis of amoeboid protists in grassland soils</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2016-01-11</date><risdate>2016</risdate><volume>6</volume><issue>1</issue><spage>19068</spage><epage>19068</epage><pages>19068-19068</pages><artnum>19068</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>This study reveals the diversity and distribution of two major ubiquitous groups of soil amoebae, the genus
Acanthamoeba
and the Myxomycetes (plasmodial slime-moulds) that are rarely, if ever, recovered in environmental sampling studies. We analyzed 150 grassland soil samples from three Biodiversity Exploratories study regions in Germany. We developed specific primers targeting the V2 variable region in the first part of the small subunit of the ribosomal RNA gene for high-throughput pyrotag sequencing. From ca. 1 million reads, applying very stringent filtering and clustering parameters to avoid overestimation of the diversity, we obtained 273 acanthamoebal and 338 myxomycete operational taxonomic units (OTUs, 96% similarity threshold). This number is consistent with the genetic diversity known in the two investigated lineages, but unequalled to date by any environmental sampling study. Only very few OTUs were identical to already known sequences. Strikingly different OTUs assemblages were found between the three German regions (PerMANOVA p.value = 0.001) and even between sites of the same region (multiple-site Simpson-based similarity indices <0.4), showing steep biogeographical gradients.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>26750872</pmid><doi>10.1038/srep19068</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 631/158/2453 631/158/670 631/158/855 631/326/171/1818 Amoeba - genetics Biodiversity Cluster Analysis Environmental monitoring Genetic diversity Genetic Variation Grassland Grasslands Humanities and Social Sciences Metagenomics multidisciplinary Phylogeny Primers Principal Component Analysis rRNA Sampling Science Soil - parasitology Taxonomy Variable region |
title | Metacommunity analysis of amoeboid protists in grassland soils |
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