Predicting the structure of soil communities from plant community taxonomy, phylogeny, and traits
There are numerous ways in which plants can influence the composition of soil communities. However, it remains unclear whether information on plant community attributes, including taxonomic, phylogenetic, or trait-based composition, can be used to predict the structure of soil communities. We tested...
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| Veröffentlicht in: | The ISME Journal 2018-07, Vol.12 (7), p.1794-1805 |
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| creator | Leff, Jonathan W. Bardgett, Richard D. Wilkinson, Anna Jackson, Benjamin G. Pritchard, William J. De Long, Jonathan R. Oakley, Simon Mason, Kelly E. Ostle, Nicholas J. Johnson, David Baggs, Elizabeth M. Fierer, Noah |
| description | There are numerous ways in which plants can influence the composition of soil communities. However, it remains unclear whether information on plant community attributes, including taxonomic, phylogenetic, or trait-based composition, can be used to predict the structure of soil communities. We tested, in both monocultures and field-grown mixed temperate grassland communities, whether plant attributes predict soil communities including taxonomic groups from across the tree of life (fungi, bacteria, protists, and metazoa). The composition of all soil community groups was affected by plant species identity, both in monocultures and in mixed communities. Moreover, plant community composition predicted additional variation in soil community composition beyond what could be predicted from soil abiotic characteristics. In addition, analysis of the field aboveground plant community composition and the composition of plant roots suggests that plant community attributes are better predictors of soil communities than root distributions. However, neither plant phylogeny nor plant traits were strong predictors of soil communities in either experiment. Our results demonstrate that grassland plant species form specific associations with soil community members and that information on plant species distributions can improve predictions of soil community composition. These results indicate that specific associations between plant species and complex soil communities are key determinants of biodiversity patterns in grassland soils. |
| doi_str_mv | 10.1038/s41396-018-0089-x |
| format | Article |
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However, it remains unclear whether information on plant community attributes, including taxonomic, phylogenetic, or trait-based composition, can be used to predict the structure of soil communities. We tested, in both monocultures and field-grown mixed temperate grassland communities, whether plant attributes predict soil communities including taxonomic groups from across the tree of life (fungi, bacteria, protists, and metazoa). The composition of all soil community groups was affected by plant species identity, both in monocultures and in mixed communities. Moreover, plant community composition predicted additional variation in soil community composition beyond what could be predicted from soil abiotic characteristics. In addition, analysis of the field aboveground plant community composition and the composition of plant roots suggests that plant community attributes are better predictors of soil communities than root distributions. However, neither plant phylogeny nor plant traits were strong predictors of soil communities in either experiment. Our results demonstrate that grassland plant species form specific associations with soil community members and that information on plant species distributions can improve predictions of soil community composition. These results indicate that specific associations between plant species and complex soil communities are key determinants of biodiversity patterns in grassland soils.</description><identifier>ISSN: 1751-7362</identifier><identifier>EISSN: 1751-7370</identifier><identifier>DOI: 10.1038/s41396-018-0089-x</identifier><identifier>PMID: 29523892</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>45/23 ; 631/158/852 ; 631/158/855 ; 704/158/2445 ; 704/158/2453 ; Bacteria - classification ; Bacteria - genetics ; Bacteria - isolation & purification ; Biodiversity ; Biomedical and Life Sciences ; Community composition ; Composition ; Ecology ; Evolutionary Biology ; Flowers & plants ; Fungi ; Fungi - classification ; Fungi - genetics ; Fungi - isolation & purification ; Grasslands ; Herbivores ; Life Sciences ; Microbial Ecology ; Microbial Genetics and Genomics ; Microbiology ; Monoculture ; Phenotype ; Phylogeny ; Plant communities ; Plant roots ; Plant Roots - microbiology ; Plant species ; Plants - classification ; Plants - microbiology ; Predictions ; Soil - chemistry ; Soil improvement ; Soil Microbiology ; Soil structure ; Soils ; Species ; Taxonomy</subject><ispartof>The ISME Journal, 2018-07, Vol.12 (7), p.1794-1805</ispartof><rights>International Society for Microbial Ecology 2018</rights><rights>Copyright Nature Publishing Group Jul 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c536t-f9c5dd557c1f11773bb417f786db88039f4df2abe228f13a9346bda57e4a8e903</citedby><cites>FETCH-LOGICAL-c536t-f9c5dd557c1f11773bb417f786db88039f4df2abe228f13a9346bda57e4a8e903</cites><orcidid>0000-0002-7951-4818</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/PMC6004312/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004312/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29523892$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Leff, Jonathan W.</creatorcontrib><creatorcontrib>Bardgett, Richard D.</creatorcontrib><creatorcontrib>Wilkinson, Anna</creatorcontrib><creatorcontrib>Jackson, Benjamin G.</creatorcontrib><creatorcontrib>Pritchard, William J.</creatorcontrib><creatorcontrib>De Long, Jonathan R.</creatorcontrib><creatorcontrib>Oakley, Simon</creatorcontrib><creatorcontrib>Mason, Kelly E.</creatorcontrib><creatorcontrib>Ostle, Nicholas J.</creatorcontrib><creatorcontrib>Johnson, David</creatorcontrib><creatorcontrib>Baggs, Elizabeth M.</creatorcontrib><creatorcontrib>Fierer, Noah</creatorcontrib><title>Predicting the structure of soil communities from plant community taxonomy, phylogeny, and traits</title><title>The ISME Journal</title><addtitle>ISME J</addtitle><addtitle>ISME J</addtitle><description>There are numerous ways in which plants can influence the composition of soil communities. However, it remains unclear whether information on plant community attributes, including taxonomic, phylogenetic, or trait-based composition, can be used to predict the structure of soil communities. We tested, in both monocultures and field-grown mixed temperate grassland communities, whether plant attributes predict soil communities including taxonomic groups from across the tree of life (fungi, bacteria, protists, and metazoa). The composition of all soil community groups was affected by plant species identity, both in monocultures and in mixed communities. Moreover, plant community composition predicted additional variation in soil community composition beyond what could be predicted from soil abiotic characteristics. In addition, analysis of the field aboveground plant community composition and the composition of plant roots suggests that plant community attributes are better predictors of soil communities than root distributions. However, neither plant phylogeny nor plant traits were strong predictors of soil communities in either experiment. Our results demonstrate that grassland plant species form specific associations with soil community members and that information on plant species distributions can improve predictions of soil community composition. These results indicate that specific associations between plant species and complex soil communities are key determinants of biodiversity patterns in grassland soils.</description><subject>45/23</subject><subject>631/158/852</subject><subject>631/158/855</subject><subject>704/158/2445</subject><subject>704/158/2453</subject><subject>Bacteria - classification</subject><subject>Bacteria - genetics</subject><subject>Bacteria - isolation & purification</subject><subject>Biodiversity</subject><subject>Biomedical and Life Sciences</subject><subject>Community composition</subject><subject>Composition</subject><subject>Ecology</subject><subject>Evolutionary Biology</subject><subject>Flowers & plants</subject><subject>Fungi</subject><subject>Fungi - classification</subject><subject>Fungi - genetics</subject><subject>Fungi - isolation & purification</subject><subject>Grasslands</subject><subject>Herbivores</subject><subject>Life Sciences</subject><subject>Microbial Ecology</subject><subject>Microbial Genetics and Genomics</subject><subject>Microbiology</subject><subject>Monoculture</subject><subject>Phenotype</subject><subject>Phylogeny</subject><subject>Plant communities</subject><subject>Plant roots</subject><subject>Plant Roots - microbiology</subject><subject>Plant species</subject><subject>Plants - classification</subject><subject>Plants - microbiology</subject><subject>Predictions</subject><subject>Soil - chemistry</subject><subject>Soil improvement</subject><subject>Soil Microbiology</subject><subject>Soil structure</subject><subject>Soils</subject><subject>Species</subject><subject>Taxonomy</subject><issn>1751-7362</issn><issn>1751-7370</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kUuLFDEUhQtRnIf-ADcScOPC0tyk8toIMugoDOhC1yGVSrozVCVtkpLuf2-GHtsHuMol97vn3sPpumeAXwOm8k0ZgCreY5A9xlL1-wfdOQgGvaACPzzVnJx1F6XcYswE5-Jxd0YUI1Qqct6ZL9lNwdYQN6huHSo1r7au2aHkUUlhRjYtyxpDDa4gn9OCdrOJ9fR9QNXsU0zL4RXabQ9z2rjYShMnVLMJtTzpHnkzF_f0_r3svn14__XqY3_z-frT1bub3jLKa--VZdPEmLDgAYSg4ziA8ELyaZQSU-WHyRMzOkKkB2oUHfg4GSbcYKRTmF52b4-6u3Vc3GRdbPtnvcthMfmgkwn6704MW71JPzTHeKBAmsDLe4Gcvq-uVL2EYt3c7Lq0Fk0wEAUcJG_oi3_Q27Tm2Ow1iilGgXFoFBwpm1Mp2fnTMYD1XYD6GKBuAeq7APW-zTz_08Vp4ldiDSBHoLRW3Lj8e_X_VX8CLCapXA</recordid><startdate>20180701</startdate><enddate>20180701</enddate><creator>Leff, Jonathan W.</creator><creator>Bardgett, Richard D.</creator><creator>Wilkinson, Anna</creator><creator>Jackson, Benjamin G.</creator><creator>Pritchard, William J.</creator><creator>De Long, Jonathan R.</creator><creator>Oakley, Simon</creator><creator>Mason, Kelly E.</creator><creator>Ostle, Nicholas J.</creator><creator>Johnson, David</creator><creator>Baggs, Elizabeth M.</creator><creator>Fierer, Noah</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</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>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</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>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</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>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PATMY</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>SOI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-7951-4818</orcidid></search><sort><creationdate>20180701</creationdate><title>Predicting the structure of soil communities from plant community taxonomy, phylogeny, and traits</title><author>Leff, Jonathan W. ; Bardgett, Richard D. ; Wilkinson, Anna ; Jackson, Benjamin G. ; Pritchard, William J. ; De Long, Jonathan R. ; Oakley, Simon ; Mason, Kelly E. ; Ostle, Nicholas J. ; Johnson, David ; Baggs, Elizabeth M. ; Fierer, Noah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c536t-f9c5dd557c1f11773bb417f786db88039f4df2abe228f13a9346bda57e4a8e903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>45/23</topic><topic>631/158/852</topic><topic>631/158/855</topic><topic>704/158/2445</topic><topic>704/158/2453</topic><topic>Bacteria - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The ISME Journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Leff, Jonathan W.</au><au>Bardgett, Richard D.</au><au>Wilkinson, Anna</au><au>Jackson, Benjamin G.</au><au>Pritchard, William J.</au><au>De Long, Jonathan R.</au><au>Oakley, Simon</au><au>Mason, Kelly E.</au><au>Ostle, Nicholas J.</au><au>Johnson, David</au><au>Baggs, Elizabeth M.</au><au>Fierer, Noah</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting the structure of soil communities from plant community taxonomy, phylogeny, and traits</atitle><jtitle>The ISME Journal</jtitle><stitle>ISME J</stitle><addtitle>ISME J</addtitle><date>2018-07-01</date><risdate>2018</risdate><volume>12</volume><issue>7</issue><spage>1794</spage><epage>1805</epage><pages>1794-1805</pages><issn>1751-7362</issn><eissn>1751-7370</eissn><abstract>There are numerous ways in which plants can influence the composition of soil communities. However, it remains unclear whether information on plant community attributes, including taxonomic, phylogenetic, or trait-based composition, can be used to predict the structure of soil communities. We tested, in both monocultures and field-grown mixed temperate grassland communities, whether plant attributes predict soil communities including taxonomic groups from across the tree of life (fungi, bacteria, protists, and metazoa). The composition of all soil community groups was affected by plant species identity, both in monocultures and in mixed communities. Moreover, plant community composition predicted additional variation in soil community composition beyond what could be predicted from soil abiotic characteristics. In addition, analysis of the field aboveground plant community composition and the composition of plant roots suggests that plant community attributes are better predictors of soil communities than root distributions. However, neither plant phylogeny nor plant traits were strong predictors of soil communities in either experiment. Our results demonstrate that grassland plant species form specific associations with soil community members and that information on plant species distributions can improve predictions of soil community composition. These results indicate that specific associations between plant species and complex soil communities are key determinants of biodiversity patterns in grassland soils.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>29523892</pmid><doi>10.1038/s41396-018-0089-x</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-7951-4818</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | 45/23 631/158/852 631/158/855 704/158/2445 704/158/2453 Bacteria - classification Bacteria - genetics Bacteria - isolation & purification Biodiversity Biomedical and Life Sciences Community composition Composition Ecology Evolutionary Biology Flowers & plants Fungi Fungi - classification Fungi - genetics Fungi - isolation & purification Grasslands Herbivores Life Sciences Microbial Ecology Microbial Genetics and Genomics Microbiology Monoculture Phenotype Phylogeny Plant communities Plant roots Plant Roots - microbiology Plant species Plants - classification Plants - microbiology Predictions Soil - chemistry Soil improvement Soil Microbiology Soil structure Soils Species Taxonomy |
| title | Predicting the structure of soil communities from plant community taxonomy, phylogeny, and traits |
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