Soil fungal communities show more specificity than bacteria for plant species composition in a temperate forest in China View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-08-30

AUTHORS

Yun Chen, Jingjing Xi, Man Xiao, Senlin Wang, Wenju Chen, Fengqin Liu, Yizhen Shao, Zhiliang Yuan

ABSTRACT

BackgroundSoil microbiome is an important part of the forest ecosystem and participates in forest ecological restoration and reconstruction. Niche differentiation with respect to resources is a prominent hypothesis to account for the maintenance of species diversity in forest ecosystems. Resource-based niche differentiation has driven ecological specialization. Plants influence soil microbial diversity and distribution by affecting the soil environment. However, with the change in plant population type, whether the distribution of soil microbes is random or follows an ecologically specialized manner remains to be further studied. We characterized the soil microbiome (bacteria and fungi) in different plant populations to assess the effects of phytophysiognomy on the distribution patterns of soil microbial communities in a temperate forest in China.ResultsOur results showed that the distribution of most soil microbes in different types of plant populations is not random but specialized in these temperate forests. The distribution patterns of bacteria and fungi were related to the composition of plant communities. Fungal species (32%) showed higher specialization than bacterial species (15%) for different types of plant populations. Light was the main driving factor of the fungal community, and soil physicochemical factors were the main driving factor of the bacterial community.ConclusionThese findings suggest that ecological specialization is important in maintaining local diversity in soil microbial communities in this forest. Fungi are more specialized than bacteria in the face of changes in plant population types. Changes in plant community composition could have important effects on soil microbial communities by potentially influencing the stability and stress resistance of forest ecosystems. More... »

PAGES

208

References to SciGraph publications

  • 2015-10-05. Deterministic processes vary during community assembly for ecologically dissimilar taxa in NATURE COMMUNICATIONS
  • 2018-03-07. Soil pH mediates the balance between stochastic and deterministic assembly of bacteria in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2011-01-03. MTML-msBayes: Approximate Bayesian comparative phylogeographic inference from multiple taxa and multiple loci with rate heterogeneity in BMC BIOINFORMATICS
  • 2019-10-14. Balance between community assembly processes mediates species coexistence in agricultural soil microbiomes across eastern China in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2013-07-04. Responses of soil bacterial and fungal communities to extreme desiccation and rewetting in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2019-03. The Relationships among Topographically-driven Habitats, Dominant Species and Vertical Layers in Temperate Forest in China in RUSSIAN JOURNAL OF ECOLOGY
  • 2018-09-11. Macrofungal species distributions depend on habitat partitioning of topography, light, and vegetation in a temperate mountain forest in SCIENTIFIC REPORTS
  • 2019-12-02. Succession in arbuscular mycorrhizal fungi can be attributed to a chronosequence of Cunninghamia lanceolata in SCIENTIFIC REPORTS
  • 2003-04. Explaining the excess of rare species in natural species abundance distributions in NATURE
  • 2018-01-09. Structural absorption by barbule microstructures of super black bird of paradise feathers in NATURE COMMUNICATIONS
  • 2006-03-14. Liana habitat associations and community structure in a Bornean lowland tropical forest in PLANT ECOLOGY
  • 2015-03-24. Increased sensitivity to climate change in disturbed ecosystems in NATURE COMMUNICATIONS
  • 2010-06-25. Negative plant–soil feedback predicts tree-species relative abundance in a tropical forest in NATURE
  • 2018-05-22. Keystone taxa as drivers of microbiome structure and functioning in NATURE REVIEWS MICROBIOLOGY
  • 2021-06-03. Low shifts in salinity determined assembly processes and network stability of microeukaryotic plankton communities in a subtropical urban reservoir in MICROBIOME
  • 2018-08-02. Soil bacterial networks are less stable under drought than fungal networks in NATURE COMMUNICATIONS
  • 2015-03-03. The Ecology and Natural History of Foliar Bacteria with a Focus on Tropical Forests and Agroecosystems in THE BOTANICAL REVIEW
  • 2010-07-16. Drying–Rewetting Cycles Affect Fungal and Bacterial Growth Differently in an Arable Soil in MICROBIAL ECOLOGY
  • 2019-01-09. Occurrence of the potent mutagens 2- nitrobenzanthrone and 3-nitrobenzanthrone in fine airborne particles in SCIENTIFIC REPORTS
  • 2011-01-26. VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R in BMC BIOINFORMATICS
  • 2019-12-06. Land use change effects on diversity of soil bacterial, Acidobacterial and fungal communities in wetlands of the Sanjiang Plain, northeastern China in SCIENTIFIC REPORTS
  • 2012-01-29. Land use alters the resistance and resilience of soil food webs to drought in NATURE CLIMATE CHANGE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12866-022-02591-1

    DOI

    http://dx.doi.org/10.1186/s12866-022-02591-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1150592915

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/36042394


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0602", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Ecology", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0605", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Microbiology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Bacteria", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "China", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Ecosystem", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Forests", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Fungi", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Microbiota", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mycobiome", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Plants", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Soil", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Soil Microbiology", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Field Scientific Observation and Research Station of Forest Ecosystem in the North-South Transition Zone of Funiu Mountain, 450000, Zhengzhou, China", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China", 
                "Institute of Botany, Chinese Academy of Sciences, 100093, Beijing, China", 
                "Field Scientific Observation and Research Station of Forest Ecosystem in the North-South Transition Zone of Funiu Mountain, 450000, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chen", 
            "givenName": "Yun", 
            "id": "sg:person.016114737165.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016114737165.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.108266.b", 
              "name": [
                "College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xi", 
            "givenName": "Jingjing", 
            "id": "sg:person.015024452217.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015024452217.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.108266.b", 
              "name": [
                "College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xiao", 
            "givenName": "Man", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.108266.b", 
              "name": [
                "College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wang", 
            "givenName": "Senlin", 
            "id": "sg:person.014503471500.00", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014503471500.00"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Resources and Environment Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.108266.b", 
              "name": [
                "College of Resources and Environment Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chen", 
            "givenName": "Wenju", 
            "id": "sg:person.011544161741.29", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011544161741.29"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.108266.b", 
              "name": [
                "College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Liu", 
            "givenName": "Fengqin", 
            "id": "sg:person.011560431400.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011560431400.02"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.108266.b", 
              "name": [
                "College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Shao", 
            "givenName": "Yizhen", 
            "id": "sg:person.01151644454.89", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151644454.89"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.108266.b", 
              "name": [
                "College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yuan", 
            "givenName": "Zhiliang", 
            "id": "sg:person.0774562645.68", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0774562645.68"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/ismej.2013.104", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049011229", 
              "https://doi.org/10.1038/ismej.2013.104"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-019-55063-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1123163274", 
              "https://doi.org/10.1038/s41598-019-55063-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-018-05516-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105886907", 
              "https://doi.org/10.1038/s41467-018-05516-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00248-010-9723-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018145235", 
              "https://doi.org/10.1007/s00248-010-9723-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-019-54452-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1123050905", 
              "https://doi.org/10.1038/s41598-019-54452-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-017-02088-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100092794", 
              "https://doi.org/10.1038/s41467-017-02088-w"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12229-015-9151-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022209256", 
              "https://doi.org/10.1007/s12229-015-9151-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1134/s1067413619020061", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1113910895", 
              "https://doi.org/10.1134/s1067413619020061"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-018-31795-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106707867", 
              "https://doi.org/10.1038/s41598-018-31795-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-018-37186-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111102200", 
              "https://doi.org/10.1038/s41598-018-37186-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40168-021-01079-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1138585551", 
              "https://doi.org/10.1186/s40168-021-01079-w"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41579-018-0024-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104134373", 
              "https://doi.org/10.1038/s41579-018-0024-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-12-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033831858", 
              "https://doi.org/10.1186/1471-2105-12-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41396-019-0522-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1121784334", 
              "https://doi.org/10.1038/s41396-019-0522-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature01547", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012467075", 
              "https://doi.org/10.1038/nature01547"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms7682", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002014359", 
              "https://doi.org/10.1038/ncomms7682"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09273", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038125641", 
              "https://doi.org/10.1038/nature09273"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41396-018-0082-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101298913", 
              "https://doi.org/10.1038/s41396-018-0082-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11258-006-9123-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008491983", 
              "https://doi.org/10.1007/s11258-006-9123-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-12-35", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042593822", 
              "https://doi.org/10.1186/1471-2105-12-35"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms9444", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013232990", 
              "https://doi.org/10.1038/ncomms9444"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nclimate1368", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026835485", 
              "https://doi.org/10.1038/nclimate1368"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-08-30", 
        "datePublishedReg": "2022-08-30", 
        "description": "BackgroundSoil microbiome is an important part of the forest ecosystem and participates in forest ecological restoration and reconstruction. Niche differentiation with respect to resources is a prominent hypothesis to account for the maintenance of species diversity in forest ecosystems. Resource-based niche differentiation has driven ecological specialization. Plants influence soil microbial diversity and distribution by affecting the soil environment. However, with the change in plant population type, whether the distribution of soil microbes is random or follows an ecologically specialized manner remains to be further studied. We characterized the soil microbiome (bacteria and fungi) in different plant populations to assess the effects of phytophysiognomy on the distribution patterns of soil microbial communities in a temperate forest in China.ResultsOur results showed that the distribution of most soil microbes in different types of plant populations is not random but specialized in these temperate forests. The distribution patterns of bacteria and fungi were related to the composition of plant communities. Fungal species (32%) showed higher specialization than bacterial species (15%) for different types of plant populations. Light was the main driving factor of the fungal community, and soil physicochemical factors were the main driving factor of the bacterial community.ConclusionThese findings suggest that ecological specialization is important in maintaining local diversity in soil microbial communities in this forest. Fungi are more specialized than bacteria in the face of changes in plant population types. Changes in plant community composition could have important effects on soil microbial communities by potentially influencing the stability and stress resistance of forest ecosystems.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/s12866-022-02591-1", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1024253", 
            "issn": [
              "1471-2180"
            ], 
            "name": "BMC Microbiology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "22"
          }
        ], 
        "keywords": [
          "soil microbial communities", 
          "forest ecosystems", 
          "temperate forests", 
          "main driving factors", 
          "plant populations", 
          "microbial communities", 
          "soil microbes", 
          "fungal communities", 
          "niche differentiation", 
          "ecological specialization", 
          "driving factors", 
          "distribution patterns", 
          "forest ecological restoration", 
          "soil microbial diversity", 
          "soil physicochemical factors", 
          "plant community composition", 
          "soil fungal communities", 
          "plant species composition", 
          "population types", 
          "ecological restoration", 
          "soil microbiome", 
          "plant communities", 
          "species diversity", 
          "local diversity", 
          "community composition", 
          "species composition", 
          "soil environment", 
          "different plant populations", 
          "microbial diversity", 
          "forest", 
          "bacterial communities", 
          "high specialization", 
          "ecosystems", 
          "physicochemical factors", 
          "face of changes", 
          "fungal species", 
          "stress resistance", 
          "diversity", 
          "community", 
          "ResultsOur results", 
          "bacterial species", 
          "prominent hypothesis", 
          "species", 
          "microbes", 
          "fungi", 
          "bacteria", 
          "specialization", 
          "phytophysiognomies", 
          "microbiome", 
          "composition", 
          "differentiation", 
          "China", 
          "specialized manner", 
          "distribution", 
          "population", 
          "important effect", 
          "restoration", 
          "plants", 
          "changes", 
          "patterns", 
          "different types", 
          "more specificity", 
          "participates", 
          "resources", 
          "types", 
          "environment", 
          "important part", 
          "factors", 
          "maintenance", 
          "specificity", 
          "effect", 
          "hypothesis", 
          "manner", 
          "resistance", 
          "part", 
          "light", 
          "ConclusionThese findings", 
          "results", 
          "findings", 
          "respect", 
          "stability", 
          "face", 
          "reconstruction"
        ], 
        "name": "Soil fungal communities show more specificity than bacteria for plant species composition in a temperate forest in China", 
        "pagination": "208", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1150592915"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s12866-022-02591-1"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "36042394"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s12866-022-02591-1", 
          "https://app.dimensions.ai/details/publication/pub.1150592915"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-11-24T21:09", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_949.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/s12866-022-02591-1"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12866-022-02591-1'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12866-022-02591-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12866-022-02591-1'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12866-022-02591-1'


     

    This table displays all metadata directly associated to this object as RDF triples.

    330 TRIPLES      21 PREDICATES      141 URIs      110 LITERALS      17 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s12866-022-02591-1 schema:about N02504d58a96c4cc2833ef51a1568f5ad
    2 N12f9fae757cf48f7b68db4f140208273
    3 N303c4e323d544b5f9b5b8b43936ae9c7
    4 N8a9095eee84345d1a07e9007ed5daac8
    5 N8c6ae1cb59214d83a618028045ae235b
    6 Na1d385c26a034edeb94bd1e57ecb3c85
    7 Nc8c061c54e0c4f1fb22ba7110750b9d7
    8 Ndf40b36d06384b38a4a2d268ac9899cf
    9 Ne7f795c7b8184fa485ef5ac9ca90ab85
    10 Nf3244e767f6f4ba086b8ef5adef17d11
    11 anzsrc-for:06
    12 anzsrc-for:0602
    13 anzsrc-for:0605
    14 schema:author N468dc599725d4179a81d41662efb728f
    15 schema:citation sg:pub.10.1007/s00248-010-9723-5
    16 sg:pub.10.1007/s11258-006-9123-6
    17 sg:pub.10.1007/s12229-015-9151-9
    18 sg:pub.10.1038/ismej.2013.104
    19 sg:pub.10.1038/nature01547
    20 sg:pub.10.1038/nature09273
    21 sg:pub.10.1038/nclimate1368
    22 sg:pub.10.1038/ncomms7682
    23 sg:pub.10.1038/ncomms9444
    24 sg:pub.10.1038/s41396-018-0082-4
    25 sg:pub.10.1038/s41396-019-0522-9
    26 sg:pub.10.1038/s41467-017-02088-w
    27 sg:pub.10.1038/s41467-018-05516-7
    28 sg:pub.10.1038/s41579-018-0024-1
    29 sg:pub.10.1038/s41598-018-31795-7
    30 sg:pub.10.1038/s41598-018-37186-2
    31 sg:pub.10.1038/s41598-019-54452-z
    32 sg:pub.10.1038/s41598-019-55063-4
    33 sg:pub.10.1134/s1067413619020061
    34 sg:pub.10.1186/1471-2105-12-1
    35 sg:pub.10.1186/1471-2105-12-35
    36 sg:pub.10.1186/s40168-021-01079-w
    37 schema:datePublished 2022-08-30
    38 schema:datePublishedReg 2022-08-30
    39 schema:description BackgroundSoil microbiome is an important part of the forest ecosystem and participates in forest ecological restoration and reconstruction. Niche differentiation with respect to resources is a prominent hypothesis to account for the maintenance of species diversity in forest ecosystems. Resource-based niche differentiation has driven ecological specialization. Plants influence soil microbial diversity and distribution by affecting the soil environment. However, with the change in plant population type, whether the distribution of soil microbes is random or follows an ecologically specialized manner remains to be further studied. We characterized the soil microbiome (bacteria and fungi) in different plant populations to assess the effects of phytophysiognomy on the distribution patterns of soil microbial communities in a temperate forest in China.ResultsOur results showed that the distribution of most soil microbes in different types of plant populations is not random but specialized in these temperate forests. The distribution patterns of bacteria and fungi were related to the composition of plant communities. Fungal species (32%) showed higher specialization than bacterial species (15%) for different types of plant populations. Light was the main driving factor of the fungal community, and soil physicochemical factors were the main driving factor of the bacterial community.ConclusionThese findings suggest that ecological specialization is important in maintaining local diversity in soil microbial communities in this forest. Fungi are more specialized than bacteria in the face of changes in plant population types. Changes in plant community composition could have important effects on soil microbial communities by potentially influencing the stability and stress resistance of forest ecosystems.
    40 schema:genre article
    41 schema:isAccessibleForFree true
    42 schema:isPartOf N39281a2a3adc49fe981568d9b3dd5107
    43 Nc2b1111ed77847218632b9d510fc7ce6
    44 sg:journal.1024253
    45 schema:keywords China
    46 ConclusionThese findings
    47 ResultsOur results
    48 bacteria
    49 bacterial communities
    50 bacterial species
    51 changes
    52 community
    53 community composition
    54 composition
    55 different plant populations
    56 different types
    57 differentiation
    58 distribution
    59 distribution patterns
    60 diversity
    61 driving factors
    62 ecological restoration
    63 ecological specialization
    64 ecosystems
    65 effect
    66 environment
    67 face
    68 face of changes
    69 factors
    70 findings
    71 forest
    72 forest ecological restoration
    73 forest ecosystems
    74 fungal communities
    75 fungal species
    76 fungi
    77 high specialization
    78 hypothesis
    79 important effect
    80 important part
    81 light
    82 local diversity
    83 main driving factors
    84 maintenance
    85 manner
    86 microbes
    87 microbial communities
    88 microbial diversity
    89 microbiome
    90 more specificity
    91 niche differentiation
    92 part
    93 participates
    94 patterns
    95 physicochemical factors
    96 phytophysiognomies
    97 plant communities
    98 plant community composition
    99 plant populations
    100 plant species composition
    101 plants
    102 population
    103 population types
    104 prominent hypothesis
    105 reconstruction
    106 resistance
    107 resources
    108 respect
    109 restoration
    110 results
    111 soil environment
    112 soil fungal communities
    113 soil microbes
    114 soil microbial communities
    115 soil microbial diversity
    116 soil microbiome
    117 soil physicochemical factors
    118 specialization
    119 specialized manner
    120 species
    121 species composition
    122 species diversity
    123 specificity
    124 stability
    125 stress resistance
    126 temperate forests
    127 types
    128 schema:name Soil fungal communities show more specificity than bacteria for plant species composition in a temperate forest in China
    129 schema:pagination 208
    130 schema:productId N1e65ea63dfd940db8eaff4af55a7df27
    131 N1f9055c15a26416bb6d97ac0f1410e5a
    132 Nf81c957642e4435193e0c7eddf631b1b
    133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1150592915
    134 https://doi.org/10.1186/s12866-022-02591-1
    135 schema:sdDatePublished 2022-11-24T21:09
    136 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    137 schema:sdPublisher N85cfe613f5fa4ca79e6f4b126febda60
    138 schema:url https://doi.org/10.1186/s12866-022-02591-1
    139 sgo:license sg:explorer/license/
    140 sgo:sdDataset articles
    141 rdf:type schema:ScholarlyArticle
    142 N02504d58a96c4cc2833ef51a1568f5ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    143 schema:name Bacteria
    144 rdf:type schema:DefinedTerm
    145 N12f9fae757cf48f7b68db4f140208273 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    146 schema:name Plants
    147 rdf:type schema:DefinedTerm
    148 N140cd6ab97354c0c82d5e2661dc1c8da rdf:first Nb8fde99e1a1c44e588231efa0797fb47
    149 rdf:rest N9a2409d81eeb42c19018a1c57a4eb76f
    150 N1e65ea63dfd940db8eaff4af55a7df27 schema:name pubmed_id
    151 schema:value 36042394
    152 rdf:type schema:PropertyValue
    153 N1f9055c15a26416bb6d97ac0f1410e5a schema:name dimensions_id
    154 schema:value pub.1150592915
    155 rdf:type schema:PropertyValue
    156 N303c4e323d544b5f9b5b8b43936ae9c7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    157 schema:name China
    158 rdf:type schema:DefinedTerm
    159 N39281a2a3adc49fe981568d9b3dd5107 schema:issueNumber 1
    160 rdf:type schema:PublicationIssue
    161 N460ddbedf5a6436797b0126edd1b2f9a rdf:first sg:person.01151644454.89
    162 rdf:rest Nc5b45e90f52c46a5a2154457354e4a89
    163 N468dc599725d4179a81d41662efb728f rdf:first sg:person.016114737165.32
    164 rdf:rest N9c3a9fbfff974395a463104977f4181a
    165 N85cfe613f5fa4ca79e6f4b126febda60 schema:name Springer Nature - SN SciGraph project
    166 rdf:type schema:Organization
    167 N8a9095eee84345d1a07e9007ed5daac8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    168 schema:name Fungi
    169 rdf:type schema:DefinedTerm
    170 N8c6ae1cb59214d83a618028045ae235b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    171 schema:name Ecosystem
    172 rdf:type schema:DefinedTerm
    173 N9a2409d81eeb42c19018a1c57a4eb76f rdf:first sg:person.014503471500.00
    174 rdf:rest Na8a0791154e249b38bc89b953bf027f1
    175 N9c3a9fbfff974395a463104977f4181a rdf:first sg:person.015024452217.39
    176 rdf:rest N140cd6ab97354c0c82d5e2661dc1c8da
    177 Na1d385c26a034edeb94bd1e57ecb3c85 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    178 schema:name Soil Microbiology
    179 rdf:type schema:DefinedTerm
    180 Na3fc398eb6ca4103a807e90b5528bfdd rdf:first sg:person.011560431400.02
    181 rdf:rest N460ddbedf5a6436797b0126edd1b2f9a
    182 Na8a0791154e249b38bc89b953bf027f1 rdf:first sg:person.011544161741.29
    183 rdf:rest Na3fc398eb6ca4103a807e90b5528bfdd
    184 Nb8fde99e1a1c44e588231efa0797fb47 schema:affiliation grid-institutes:grid.108266.b
    185 schema:familyName Xiao
    186 schema:givenName Man
    187 rdf:type schema:Person
    188 Nc2b1111ed77847218632b9d510fc7ce6 schema:volumeNumber 22
    189 rdf:type schema:PublicationVolume
    190 Nc5b45e90f52c46a5a2154457354e4a89 rdf:first sg:person.0774562645.68
    191 rdf:rest rdf:nil
    192 Nc8c061c54e0c4f1fb22ba7110750b9d7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    193 schema:name Soil
    194 rdf:type schema:DefinedTerm
    195 Ndf40b36d06384b38a4a2d268ac9899cf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    196 schema:name Mycobiome
    197 rdf:type schema:DefinedTerm
    198 Ne7f795c7b8184fa485ef5ac9ca90ab85 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    199 schema:name Microbiota
    200 rdf:type schema:DefinedTerm
    201 Nf3244e767f6f4ba086b8ef5adef17d11 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    202 schema:name Forests
    203 rdf:type schema:DefinedTerm
    204 Nf81c957642e4435193e0c7eddf631b1b schema:name doi
    205 schema:value 10.1186/s12866-022-02591-1
    206 rdf:type schema:PropertyValue
    207 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    208 schema:name Biological Sciences
    209 rdf:type schema:DefinedTerm
    210 anzsrc-for:0602 schema:inDefinedTermSet anzsrc-for:
    211 schema:name Ecology
    212 rdf:type schema:DefinedTerm
    213 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
    214 schema:name Microbiology
    215 rdf:type schema:DefinedTerm
    216 sg:journal.1024253 schema:issn 1471-2180
    217 schema:name BMC Microbiology
    218 schema:publisher Springer Nature
    219 rdf:type schema:Periodical
    220 sg:person.01151644454.89 schema:affiliation grid-institutes:grid.108266.b
    221 schema:familyName Shao
    222 schema:givenName Yizhen
    223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151644454.89
    224 rdf:type schema:Person
    225 sg:person.011544161741.29 schema:affiliation grid-institutes:grid.108266.b
    226 schema:familyName Chen
    227 schema:givenName Wenju
    228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011544161741.29
    229 rdf:type schema:Person
    230 sg:person.011560431400.02 schema:affiliation grid-institutes:grid.108266.b
    231 schema:familyName Liu
    232 schema:givenName Fengqin
    233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011560431400.02
    234 rdf:type schema:Person
    235 sg:person.014503471500.00 schema:affiliation grid-institutes:grid.108266.b
    236 schema:familyName Wang
    237 schema:givenName Senlin
    238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014503471500.00
    239 rdf:type schema:Person
    240 sg:person.015024452217.39 schema:affiliation grid-institutes:grid.108266.b
    241 schema:familyName Xi
    242 schema:givenName Jingjing
    243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015024452217.39
    244 rdf:type schema:Person
    245 sg:person.016114737165.32 schema:affiliation grid-institutes:None
    246 schema:familyName Chen
    247 schema:givenName Yun
    248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016114737165.32
    249 rdf:type schema:Person
    250 sg:person.0774562645.68 schema:affiliation grid-institutes:grid.108266.b
    251 schema:familyName Yuan
    252 schema:givenName Zhiliang
    253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0774562645.68
    254 rdf:type schema:Person
    255 sg:pub.10.1007/s00248-010-9723-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018145235
    256 https://doi.org/10.1007/s00248-010-9723-5
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1007/s11258-006-9123-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008491983
    259 https://doi.org/10.1007/s11258-006-9123-6
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1007/s12229-015-9151-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022209256
    262 https://doi.org/10.1007/s12229-015-9151-9
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1038/ismej.2013.104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049011229
    265 https://doi.org/10.1038/ismej.2013.104
    266 rdf:type schema:CreativeWork
    267 sg:pub.10.1038/nature01547 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012467075
    268 https://doi.org/10.1038/nature01547
    269 rdf:type schema:CreativeWork
    270 sg:pub.10.1038/nature09273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038125641
    271 https://doi.org/10.1038/nature09273
    272 rdf:type schema:CreativeWork
    273 sg:pub.10.1038/nclimate1368 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026835485
    274 https://doi.org/10.1038/nclimate1368
    275 rdf:type schema:CreativeWork
    276 sg:pub.10.1038/ncomms7682 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002014359
    277 https://doi.org/10.1038/ncomms7682
    278 rdf:type schema:CreativeWork
    279 sg:pub.10.1038/ncomms9444 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013232990
    280 https://doi.org/10.1038/ncomms9444
    281 rdf:type schema:CreativeWork
    282 sg:pub.10.1038/s41396-018-0082-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101298913
    283 https://doi.org/10.1038/s41396-018-0082-4
    284 rdf:type schema:CreativeWork
    285 sg:pub.10.1038/s41396-019-0522-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1121784334
    286 https://doi.org/10.1038/s41396-019-0522-9
    287 rdf:type schema:CreativeWork
    288 sg:pub.10.1038/s41467-017-02088-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1100092794
    289 https://doi.org/10.1038/s41467-017-02088-w
    290 rdf:type schema:CreativeWork
    291 sg:pub.10.1038/s41467-018-05516-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105886907
    292 https://doi.org/10.1038/s41467-018-05516-7
    293 rdf:type schema:CreativeWork
    294 sg:pub.10.1038/s41579-018-0024-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104134373
    295 https://doi.org/10.1038/s41579-018-0024-1
    296 rdf:type schema:CreativeWork
    297 sg:pub.10.1038/s41598-018-31795-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106707867
    298 https://doi.org/10.1038/s41598-018-31795-7
    299 rdf:type schema:CreativeWork
    300 sg:pub.10.1038/s41598-018-37186-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111102200
    301 https://doi.org/10.1038/s41598-018-37186-2
    302 rdf:type schema:CreativeWork
    303 sg:pub.10.1038/s41598-019-54452-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1123050905
    304 https://doi.org/10.1038/s41598-019-54452-z
    305 rdf:type schema:CreativeWork
    306 sg:pub.10.1038/s41598-019-55063-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1123163274
    307 https://doi.org/10.1038/s41598-019-55063-4
    308 rdf:type schema:CreativeWork
    309 sg:pub.10.1134/s1067413619020061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113910895
    310 https://doi.org/10.1134/s1067413619020061
    311 rdf:type schema:CreativeWork
    312 sg:pub.10.1186/1471-2105-12-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033831858
    313 https://doi.org/10.1186/1471-2105-12-1
    314 rdf:type schema:CreativeWork
    315 sg:pub.10.1186/1471-2105-12-35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042593822
    316 https://doi.org/10.1186/1471-2105-12-35
    317 rdf:type schema:CreativeWork
    318 sg:pub.10.1186/s40168-021-01079-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1138585551
    319 https://doi.org/10.1186/s40168-021-01079-w
    320 rdf:type schema:CreativeWork
    321 grid-institutes:None schema:alternateName Field Scientific Observation and Research Station of Forest Ecosystem in the North-South Transition Zone of Funiu Mountain, 450000, Zhengzhou, China
    322 schema:name College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China
    323 Field Scientific Observation and Research Station of Forest Ecosystem in the North-South Transition Zone of Funiu Mountain, 450000, Zhengzhou, China
    324 Institute of Botany, Chinese Academy of Sciences, 100093, Beijing, China
    325 rdf:type schema:Organization
    326 grid-institutes:grid.108266.b schema:alternateName College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China
    327 College of Resources and Environment Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China
    328 schema:name College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China
    329 College of Resources and Environment Sciences, Henan Agricultural University, No.63 Agricultural Road, 450002, Zhengzhou, China
    330 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...