Can moderate heavy metal soil contaminations due to cement production influence the surrounding soil bacterial communities? View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2021-11-08

AUTHORS

Thiago Augusto da Costa Silva, Marcos de Paula, Washington Santos Silva, Gustavo Augusto Lacorte

ABSTRACT

Events of soil contamination by heavy metals are mostly related to human activities that release these metals into the environment as emissions or effluents. Among the industrial activities related to heavy metal pollution, cement production plants are considered one of the most common sources. In this work we applied the High-throughput sequencing approach called 16 S rDNA metabarcoding to perform the taxonomic characterization of the prokaryotic communities of the soil surrounding three cement plants as well as two areas outside the influence of the cement plants that represented agricultural production environments free of heavy metal contamination (control areas). We applied the environmental genomics approaches known as “structural community metrics” (α- and β-diversity metrics) and “functional community metrics” (PICRUSt2 approach) to verify whether or not the effects of heavy metal contamination in the study area generated impacts on soil bacterial communities. We found that the impact related to the elevation of heavy metal concentration due to the operation of cement plants in the surrounding soil can be considered smooth according to globally recognized indices such as Igeo. However, we identified that both the taxonomic and functional structures of the communities surrounding cement plants were different from those found in the control areas. We consider that our findings contribute significantly to the general understanding of the effects of heavy metals on the soil ecosystem by showing that light contamination can disturb the dynamics of ecosystem services provided by soil, specifically those associated with microbial metabolism. More... »

PAGES

134-148

References to SciGraph publications

  • 2018-07-27. Health risk assessment of nitrate exposure in groundwater of rural areas of Gonabad and Bajestan, Iran in ENVIRONMENTAL EARTH SCIENCES
  • 2000-12. Structure and function of the soil microbial community in microhabitats of a heavy metal polluted soil in BIOLOGY AND FERTILITY OF SOILS
  • 2021-02-23. Dissection of plant microbiota and plant-microbiome interactions in JOURNAL OF MICROBIOLOGY
  • 2019-07-18. Assessment of Heavy Metal Pollution and Human Health Risks Assessment in Soils Around an Industrial Zone in Neyshabur, Iran in BIOLOGICAL TRACE ELEMENT RESEARCH
  • 2019-04-08. Soil pollution evaluation and health risk assessment of heavy metals around Douroud cement factory, Iran in ENVIRONMENTAL EARTH SCIENCES
  • 2018-05-25. Restoration with pioneer plants changes soil properties and remodels the diversity and structure of bacterial communities in rhizosphere and bulk soil of copper mine tailings in Jiangxi Province, China in ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • 2014-10-19. The Family Nitrospiraceae in THE PROKARYOTES
  • 2013-08-25. Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences in NATURE BIOTECHNOLOGY
  • 2014-08-22. The Earth Microbiome project: successes and aspirations in BMC BIOLOGY
  • 2020-06-01. PICRUSt2 for prediction of metagenome functions in NATURE BIOTECHNOLOGY
  • 2017-10-16. Microbial indicators for soil quality in BIOLOGY AND FERTILITY OF SOILS
  • 2020-02-15. Advances in monitoring soil microbial community dynamic and function in JOURNAL OF APPLIED GENETICS
  • 2015-03-12. Illumina MiSeq sequencing investigation on the contrasting soil bacterial community structures in different iron mining areas in ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • 2017-09-12. Shotgun metagenomics, from sampling to analysis in NATURE BIOTECHNOLOGY
  • 2012-11-10. Extreme zinc tolerance in acidophilic microorganisms from the bacterial and archaeal domains in EXTREMOPHILES
  • 2016-10-15. Response of soil bacterial communities to lead and zinc pollution revealed by Illumina MiSeq sequencing investigation in ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • 2016-09-16. Diversity is the question, not the answer in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2016-09-30. Heavy metals and soil microbes in ENVIRONMENTAL CHEMISTRY LETTERS
  • 2014-03-02. Response of the bacterial diversity and soil enzyme activity in particle-size fractions of Mollisol after different fertilization in a long-term experiment in BIOLOGY AND FERTILITY OF SOILS
  • 2009-01-23. Hexavalent Chromium Reduction by Free and Immobilized Cell-free Extract of Arthrobacter rhombi-RE in APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
  • 1996-10. Influence of heavy metals on the functional diversity of soil microbial communities in BIOLOGY AND FERTILITY OF SOILS
  • 2018-09-21. Analysis of microbial communities in heavy metals-contaminated soils using the metagenomic approach in ECOTOXICOLOGY
  • 2019-07-24. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 in NATURE BIOTECHNOLOGY
  • 2021-02-04. Comparison between 16S rRNA and shotgun sequencing data for the taxonomic characterization of the gut microbiota in SCIENTIFIC REPORTS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10646-021-02494-3

    DOI

    http://dx.doi.org/10.1007/s10646-021-02494-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1142428854

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/34748159


    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/2008/05", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Environmental Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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/2008/0502", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Environmental Science and Management", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0503", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Soil Sciences", 
            "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": "Ecosystem", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Environmental Monitoring", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Metals, Heavy", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Soil", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Soil Pollutants", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Molecular Biology Lab, Department of Science and Languages, Federal Institute of Minas Gerais \u2013 Bambu\u00ed Campus, Bambu\u00ed, Minas Gerais State, Brazil", 
              "id": "http://www.grid.ac/institutes/grid.462191.9", 
              "name": [
                "Molecular Biology Lab, Department of Science and Languages, Federal Institute of Minas Gerais \u2013 Bambu\u00ed Campus, Bambu\u00ed, Minas Gerais State, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "da Costa Silva", 
            "givenName": "Thiago Augusto", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Molecular Biology Lab, Department of Science and Languages, Federal Institute of Minas Gerais \u2013 Bambu\u00ed Campus, Bambu\u00ed, Minas Gerais State, Brazil", 
              "id": "http://www.grid.ac/institutes/grid.462191.9", 
              "name": [
                "Molecular Biology Lab, Department of Science and Languages, Federal Institute of Minas Gerais \u2013 Bambu\u00ed Campus, Bambu\u00ed, Minas Gerais State, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "de Paula", 
            "givenName": "Marcos", 
            "id": "sg:person.012756445075.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012756445075.17"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Federal Institute of Minas Gerais\u2014Formiga Campus, Formiga, Minas Gerais State, Brazil", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Federal Institute of Minas Gerais\u2014Formiga Campus, Formiga, Minas Gerais State, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Silva", 
            "givenName": "Washington Santos", 
            "id": "sg:person.012557141703.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012557141703.05"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Molecular Biology Lab, Department of Science and Languages, Federal Institute of Minas Gerais \u2013 Bambu\u00ed Campus, Bambu\u00ed, Minas Gerais State, Brazil", 
              "id": "http://www.grid.ac/institutes/grid.462191.9", 
              "name": [
                "Molecular Biology Lab, Department of Science and Languages, Federal Institute of Minas Gerais \u2013 Bambu\u00ed Campus, Bambu\u00ed, Minas Gerais State, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lacorte", 
            "givenName": "Gustavo Augusto", 
            "id": "sg:person.01202236466.98", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202236466.98"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s12275-021-0619-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1135663076", 
              "https://doi.org/10.1007/s12275-021-0619-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11356-015-4186-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053597822", 
              "https://doi.org/10.1007/s11356-015-4186-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11356-018-2244-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104235945", 
              "https://doi.org/10.1007/s11356-018-2244-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11356-016-7826-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003619117", 
              "https://doi.org/10.1007/s11356-016-7826-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.3935", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091578237", 
              "https://doi.org/10.1038/nbt.3935"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s003740000268", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049500988", 
              "https://doi.org/10.1007/s003740000268"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00792-012-0495-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014144797", 
              "https://doi.org/10.1007/s00792-012-0495-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41587-020-0548-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1128090688", 
              "https://doi.org/10.1038/s41587-020-0548-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00335958", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044195130", 
              "https://doi.org/10.1007/bf00335958"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2676", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034019934", 
              "https://doi.org/10.1038/nbt.2676"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12010-008-8515-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033027469", 
              "https://doi.org/10.1007/s12010-008-8515-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12011-019-01816-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1118064590", 
              "https://doi.org/10.1007/s12011-019-01816-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12665-018-7732-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105875209", 
              "https://doi.org/10.1007/s12665-018-7732-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41587-019-0209-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1119809350", 
              "https://doi.org/10.1038/s41587-019-0209-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10311-016-0587-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018152201", 
              "https://doi.org/10.1007/s10311-016-0587-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2016.118", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013333625", 
              "https://doi.org/10.1038/ismej.2016.118"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00374-014-0911-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006430086", 
              "https://doi.org/10.1007/s00374-014-0911-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12665-019-8220-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1113303398", 
              "https://doi.org/10.1007/s12665-019-8220-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-38954-2_126", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031792336", 
              "https://doi.org/10.1007/978-3-642-38954-2_126"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-021-82726-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1135100870", 
              "https://doi.org/10.1038/s41598-021-82726-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12915-014-0069-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000588445", 
              "https://doi.org/10.1186/s12915-014-0069-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13353-020-00549-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1124904410", 
              "https://doi.org/10.1007/s13353-020-00549-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10646-018-1981-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107123973", 
              "https://doi.org/10.1007/s10646-018-1981-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00374-017-1248-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092234007", 
              "https://doi.org/10.1007/s00374-017-1248-3"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2021-11-08", 
        "datePublishedReg": "2021-11-08", 
        "description": "Events of soil contamination by heavy metals are mostly related to human activities that release these metals into the environment as emissions or effluents. Among the industrial activities related to heavy metal pollution, cement production plants are considered one of the most common sources. In this work we applied the High-throughput sequencing approach called 16\u2009S rDNA metabarcoding to perform the taxonomic characterization of the prokaryotic communities of the soil surrounding three cement plants as well as two areas outside the influence of the cement plants that represented agricultural production environments free of heavy metal contamination (control areas). We applied the environmental genomics approaches known as \u201cstructural community metrics\u201d (\u03b1- and \u03b2-diversity metrics) and \u201cfunctional community metrics\u201d (PICRUSt2 approach) to verify whether or not the effects of heavy metal contamination in the study area generated impacts on soil bacterial communities. We found that the impact related to the elevation of heavy metal concentration due to the operation of cement plants in the surrounding soil can be considered smooth according to globally recognized indices such as Igeo. However, we identified that both the taxonomic and functional structures of the communities surrounding cement plants were different from those found in the control areas. We consider that our findings contribute significantly to the general understanding of the effects of heavy metals on the soil ecosystem by showing that light contamination can disturb the dynamics of ecosystem services provided by soil, specifically those associated with microbial metabolism.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10646-021-02494-3", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1129600", 
            "issn": [
              "0963-9292", 
              "1573-3017"
            ], 
            "name": "Ecotoxicology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "31"
          }
        ], 
        "keywords": [
          "soil bacterial communities", 
          "heavy metal contamination", 
          "community metrics", 
          "soil contamination", 
          "metal contamination", 
          "heavy metals", 
          "heavy metal soil contamination", 
          "bacterial communities", 
          "metal soil contamination", 
          "functional community metrics", 
          "heavy metal pollution", 
          "heavy metal concentrations", 
          "high-throughput sequencing approach", 
          "environmental genomics approach", 
          "cement plant", 
          "agricultural production environment", 
          "soil ecosystems", 
          "ecosystem services", 
          "metal pollution", 
          "metal concentrations", 
          "human activities", 
          "prokaryotic communities", 
          "industrial activities", 
          "study area", 
          "soil", 
          "genomic approaches", 
          "control area", 
          "microbial metabolism", 
          "contamination", 
          "taxonomic characterization", 
          "functional structure", 
          "sequencing approach", 
          "S rDNA", 
          "cement production plant", 
          "community", 
          "plants", 
          "metals", 
          "production influence", 
          "Igeo", 
          "area", 
          "ecosystems", 
          "general understanding", 
          "pollution", 
          "impact", 
          "light contamination", 
          "environment", 
          "rDNA", 
          "common source", 
          "effluent", 
          "metrics", 
          "metabolism", 
          "activity", 
          "dynamics", 
          "emission", 
          "influence", 
          "elevation", 
          "source", 
          "index", 
          "concentration", 
          "production plant", 
          "effect", 
          "characterization", 
          "understanding", 
          "services", 
          "approach", 
          "production environment", 
          "events", 
          "structure", 
          "findings", 
          "work", 
          "operation"
        ], 
        "name": "Can moderate heavy metal soil contaminations due to cement production influence the surrounding soil bacterial communities?", 
        "pagination": "134-148", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1142428854"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10646-021-02494-3"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "34748159"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10646-021-02494-3", 
          "https://app.dimensions.ai/details/publication/pub.1142428854"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-05-20T07:39", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_911.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10646-021-02494-3"
      }
    ]
     

    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.10.1007/s10646-021-02494-3'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10646-021-02494-3'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10646-021-02494-3'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10646-021-02494-3'


     

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

    292 TRIPLES      22 PREDICATES      131 URIs      96 LITERALS      14 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10646-021-02494-3 schema:about N242f5f87f4ee4601852482aefef7256a
    2 N2cee4202920e4327a68ee3126a2b9eee
    3 N309f8ea0770a42858a528e59681e0a4b
    4 N53410e0189e140f49ea06992a497b8f8
    5 N8085df9f410a4def92e0cb05d70ed39b
    6 Ncbd0b57f0f1142cba5a1727405d4d299
    7 Nd542d9818282491b909fddf1cd457857
    8 anzsrc-for:05
    9 anzsrc-for:0502
    10 anzsrc-for:0503
    11 anzsrc-for:06
    12 anzsrc-for:0605
    13 schema:author N26452a8d5e07459d99d0cd01577a2238
    14 schema:citation sg:pub.10.1007/978-3-642-38954-2_126
    15 sg:pub.10.1007/bf00335958
    16 sg:pub.10.1007/s00374-014-0911-1
    17 sg:pub.10.1007/s00374-017-1248-3
    18 sg:pub.10.1007/s003740000268
    19 sg:pub.10.1007/s00792-012-0495-3
    20 sg:pub.10.1007/s10311-016-0587-x
    21 sg:pub.10.1007/s10646-018-1981-x
    22 sg:pub.10.1007/s11356-015-4186-3
    23 sg:pub.10.1007/s11356-016-7826-3
    24 sg:pub.10.1007/s11356-018-2244-3
    25 sg:pub.10.1007/s12010-008-8515-6
    26 sg:pub.10.1007/s12011-019-01816-1
    27 sg:pub.10.1007/s12275-021-0619-5
    28 sg:pub.10.1007/s12665-018-7732-8
    29 sg:pub.10.1007/s12665-019-8220-5
    30 sg:pub.10.1007/s13353-020-00549-5
    31 sg:pub.10.1038/ismej.2016.118
    32 sg:pub.10.1038/nbt.2676
    33 sg:pub.10.1038/nbt.3935
    34 sg:pub.10.1038/s41587-019-0209-9
    35 sg:pub.10.1038/s41587-020-0548-6
    36 sg:pub.10.1038/s41598-021-82726-y
    37 sg:pub.10.1186/s12915-014-0069-1
    38 schema:datePublished 2021-11-08
    39 schema:datePublishedReg 2021-11-08
    40 schema:description Events of soil contamination by heavy metals are mostly related to human activities that release these metals into the environment as emissions or effluents. Among the industrial activities related to heavy metal pollution, cement production plants are considered one of the most common sources. In this work we applied the High-throughput sequencing approach called 16 S rDNA metabarcoding to perform the taxonomic characterization of the prokaryotic communities of the soil surrounding three cement plants as well as two areas outside the influence of the cement plants that represented agricultural production environments free of heavy metal contamination (control areas). We applied the environmental genomics approaches known as “structural community metrics” (α- and β-diversity metrics) and “functional community metrics” (PICRUSt2 approach) to verify whether or not the effects of heavy metal contamination in the study area generated impacts on soil bacterial communities. We found that the impact related to the elevation of heavy metal concentration due to the operation of cement plants in the surrounding soil can be considered smooth according to globally recognized indices such as Igeo. However, we identified that both the taxonomic and functional structures of the communities surrounding cement plants were different from those found in the control areas. We consider that our findings contribute significantly to the general understanding of the effects of heavy metals on the soil ecosystem by showing that light contamination can disturb the dynamics of ecosystem services provided by soil, specifically those associated with microbial metabolism.
    41 schema:genre article
    42 schema:inLanguage en
    43 schema:isAccessibleForFree false
    44 schema:isPartOf N5d6e552f68884c3f9ce0210352116ace
    45 Nadb2458f967441cd842ab23c8e3e2c72
    46 sg:journal.1129600
    47 schema:keywords Igeo
    48 S rDNA
    49 activity
    50 agricultural production environment
    51 approach
    52 area
    53 bacterial communities
    54 cement plant
    55 cement production plant
    56 characterization
    57 common source
    58 community
    59 community metrics
    60 concentration
    61 contamination
    62 control area
    63 dynamics
    64 ecosystem services
    65 ecosystems
    66 effect
    67 effluent
    68 elevation
    69 emission
    70 environment
    71 environmental genomics approach
    72 events
    73 findings
    74 functional community metrics
    75 functional structure
    76 general understanding
    77 genomic approaches
    78 heavy metal concentrations
    79 heavy metal contamination
    80 heavy metal pollution
    81 heavy metal soil contamination
    82 heavy metals
    83 high-throughput sequencing approach
    84 human activities
    85 impact
    86 index
    87 industrial activities
    88 influence
    89 light contamination
    90 metabolism
    91 metal concentrations
    92 metal contamination
    93 metal pollution
    94 metal soil contamination
    95 metals
    96 metrics
    97 microbial metabolism
    98 operation
    99 plants
    100 pollution
    101 production environment
    102 production influence
    103 production plant
    104 prokaryotic communities
    105 rDNA
    106 sequencing approach
    107 services
    108 soil
    109 soil bacterial communities
    110 soil contamination
    111 soil ecosystems
    112 source
    113 structure
    114 study area
    115 taxonomic characterization
    116 understanding
    117 work
    118 schema:name Can moderate heavy metal soil contaminations due to cement production influence the surrounding soil bacterial communities?
    119 schema:pagination 134-148
    120 schema:productId N22f1403794b74e9f971a4efb09c8b742
    121 N3b871cc4033345bbb4b2498383376b1a
    122 Nca09c462b5364ca0b18fb160ea8dd59d
    123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1142428854
    124 https://doi.org/10.1007/s10646-021-02494-3
    125 schema:sdDatePublished 2022-05-20T07:39
    126 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    127 schema:sdPublisher N7277668fdaa1486aa42c09f43ceae101
    128 schema:url https://doi.org/10.1007/s10646-021-02494-3
    129 sgo:license sg:explorer/license/
    130 sgo:sdDataset articles
    131 rdf:type schema:ScholarlyArticle
    132 N0a133240b7cf440cbc9a069d28f650d7 rdf:first sg:person.012756445075.17
    133 rdf:rest N1f239bbd95574dcbb1183a8ef0606256
    134 N1bee903d162d411b80a41d45b3eb3edd rdf:first sg:person.01202236466.98
    135 rdf:rest rdf:nil
    136 N1f239bbd95574dcbb1183a8ef0606256 rdf:first sg:person.012557141703.05
    137 rdf:rest N1bee903d162d411b80a41d45b3eb3edd
    138 N22f1403794b74e9f971a4efb09c8b742 schema:name doi
    139 schema:value 10.1007/s10646-021-02494-3
    140 rdf:type schema:PropertyValue
    141 N242f5f87f4ee4601852482aefef7256a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Bacteria
    143 rdf:type schema:DefinedTerm
    144 N26452a8d5e07459d99d0cd01577a2238 rdf:first Nd58815cebd4a4a0b82ebd674a4c1bcc8
    145 rdf:rest N0a133240b7cf440cbc9a069d28f650d7
    146 N2cee4202920e4327a68ee3126a2b9eee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    147 schema:name Environmental Monitoring
    148 rdf:type schema:DefinedTerm
    149 N309f8ea0770a42858a528e59681e0a4b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    150 schema:name Metals, Heavy
    151 rdf:type schema:DefinedTerm
    152 N3b871cc4033345bbb4b2498383376b1a schema:name pubmed_id
    153 schema:value 34748159
    154 rdf:type schema:PropertyValue
    155 N53410e0189e140f49ea06992a497b8f8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    156 schema:name Soil
    157 rdf:type schema:DefinedTerm
    158 N5d6e552f68884c3f9ce0210352116ace schema:issueNumber 1
    159 rdf:type schema:PublicationIssue
    160 N7277668fdaa1486aa42c09f43ceae101 schema:name Springer Nature - SN SciGraph project
    161 rdf:type schema:Organization
    162 N8085df9f410a4def92e0cb05d70ed39b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    163 schema:name Soil Pollutants
    164 rdf:type schema:DefinedTerm
    165 Nadb2458f967441cd842ab23c8e3e2c72 schema:volumeNumber 31
    166 rdf:type schema:PublicationVolume
    167 Nca09c462b5364ca0b18fb160ea8dd59d schema:name dimensions_id
    168 schema:value pub.1142428854
    169 rdf:type schema:PropertyValue
    170 Ncbd0b57f0f1142cba5a1727405d4d299 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    171 schema:name Ecosystem
    172 rdf:type schema:DefinedTerm
    173 Nd542d9818282491b909fddf1cd457857 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    174 schema:name Humans
    175 rdf:type schema:DefinedTerm
    176 Nd58815cebd4a4a0b82ebd674a4c1bcc8 schema:affiliation grid-institutes:grid.462191.9
    177 schema:familyName da Costa Silva
    178 schema:givenName Thiago Augusto
    179 rdf:type schema:Person
    180 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
    181 schema:name Environmental Sciences
    182 rdf:type schema:DefinedTerm
    183 anzsrc-for:0502 schema:inDefinedTermSet anzsrc-for:
    184 schema:name Environmental Science and Management
    185 rdf:type schema:DefinedTerm
    186 anzsrc-for:0503 schema:inDefinedTermSet anzsrc-for:
    187 schema:name Soil Sciences
    188 rdf:type schema:DefinedTerm
    189 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    190 schema:name Biological Sciences
    191 rdf:type schema:DefinedTerm
    192 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
    193 schema:name Microbiology
    194 rdf:type schema:DefinedTerm
    195 sg:journal.1129600 schema:issn 0963-9292
    196 1573-3017
    197 schema:name Ecotoxicology
    198 schema:publisher Springer Nature
    199 rdf:type schema:Periodical
    200 sg:person.01202236466.98 schema:affiliation grid-institutes:grid.462191.9
    201 schema:familyName Lacorte
    202 schema:givenName Gustavo Augusto
    203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202236466.98
    204 rdf:type schema:Person
    205 sg:person.012557141703.05 schema:affiliation grid-institutes:None
    206 schema:familyName Silva
    207 schema:givenName Washington Santos
    208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012557141703.05
    209 rdf:type schema:Person
    210 sg:person.012756445075.17 schema:affiliation grid-institutes:grid.462191.9
    211 schema:familyName de Paula
    212 schema:givenName Marcos
    213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012756445075.17
    214 rdf:type schema:Person
    215 sg:pub.10.1007/978-3-642-38954-2_126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031792336
    216 https://doi.org/10.1007/978-3-642-38954-2_126
    217 rdf:type schema:CreativeWork
    218 sg:pub.10.1007/bf00335958 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044195130
    219 https://doi.org/10.1007/bf00335958
    220 rdf:type schema:CreativeWork
    221 sg:pub.10.1007/s00374-014-0911-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006430086
    222 https://doi.org/10.1007/s00374-014-0911-1
    223 rdf:type schema:CreativeWork
    224 sg:pub.10.1007/s00374-017-1248-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092234007
    225 https://doi.org/10.1007/s00374-017-1248-3
    226 rdf:type schema:CreativeWork
    227 sg:pub.10.1007/s003740000268 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049500988
    228 https://doi.org/10.1007/s003740000268
    229 rdf:type schema:CreativeWork
    230 sg:pub.10.1007/s00792-012-0495-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014144797
    231 https://doi.org/10.1007/s00792-012-0495-3
    232 rdf:type schema:CreativeWork
    233 sg:pub.10.1007/s10311-016-0587-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018152201
    234 https://doi.org/10.1007/s10311-016-0587-x
    235 rdf:type schema:CreativeWork
    236 sg:pub.10.1007/s10646-018-1981-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1107123973
    237 https://doi.org/10.1007/s10646-018-1981-x
    238 rdf:type schema:CreativeWork
    239 sg:pub.10.1007/s11356-015-4186-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053597822
    240 https://doi.org/10.1007/s11356-015-4186-3
    241 rdf:type schema:CreativeWork
    242 sg:pub.10.1007/s11356-016-7826-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003619117
    243 https://doi.org/10.1007/s11356-016-7826-3
    244 rdf:type schema:CreativeWork
    245 sg:pub.10.1007/s11356-018-2244-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104235945
    246 https://doi.org/10.1007/s11356-018-2244-3
    247 rdf:type schema:CreativeWork
    248 sg:pub.10.1007/s12010-008-8515-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033027469
    249 https://doi.org/10.1007/s12010-008-8515-6
    250 rdf:type schema:CreativeWork
    251 sg:pub.10.1007/s12011-019-01816-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1118064590
    252 https://doi.org/10.1007/s12011-019-01816-1
    253 rdf:type schema:CreativeWork
    254 sg:pub.10.1007/s12275-021-0619-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1135663076
    255 https://doi.org/10.1007/s12275-021-0619-5
    256 rdf:type schema:CreativeWork
    257 sg:pub.10.1007/s12665-018-7732-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105875209
    258 https://doi.org/10.1007/s12665-018-7732-8
    259 rdf:type schema:CreativeWork
    260 sg:pub.10.1007/s12665-019-8220-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113303398
    261 https://doi.org/10.1007/s12665-019-8220-5
    262 rdf:type schema:CreativeWork
    263 sg:pub.10.1007/s13353-020-00549-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1124904410
    264 https://doi.org/10.1007/s13353-020-00549-5
    265 rdf:type schema:CreativeWork
    266 sg:pub.10.1038/ismej.2016.118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013333625
    267 https://doi.org/10.1038/ismej.2016.118
    268 rdf:type schema:CreativeWork
    269 sg:pub.10.1038/nbt.2676 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034019934
    270 https://doi.org/10.1038/nbt.2676
    271 rdf:type schema:CreativeWork
    272 sg:pub.10.1038/nbt.3935 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091578237
    273 https://doi.org/10.1038/nbt.3935
    274 rdf:type schema:CreativeWork
    275 sg:pub.10.1038/s41587-019-0209-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1119809350
    276 https://doi.org/10.1038/s41587-019-0209-9
    277 rdf:type schema:CreativeWork
    278 sg:pub.10.1038/s41587-020-0548-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1128090688
    279 https://doi.org/10.1038/s41587-020-0548-6
    280 rdf:type schema:CreativeWork
    281 sg:pub.10.1038/s41598-021-82726-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1135100870
    282 https://doi.org/10.1038/s41598-021-82726-y
    283 rdf:type schema:CreativeWork
    284 sg:pub.10.1186/s12915-014-0069-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000588445
    285 https://doi.org/10.1186/s12915-014-0069-1
    286 rdf:type schema:CreativeWork
    287 grid-institutes:None schema:alternateName Federal Institute of Minas Gerais—Formiga Campus, Formiga, Minas Gerais State, Brazil
    288 schema:name Federal Institute of Minas Gerais—Formiga Campus, Formiga, Minas Gerais State, Brazil
    289 rdf:type schema:Organization
    290 grid-institutes:grid.462191.9 schema:alternateName Molecular Biology Lab, Department of Science and Languages, Federal Institute of Minas Gerais – Bambuí Campus, Bambuí, Minas Gerais State, Brazil
    291 schema:name Molecular Biology Lab, Department of Science and Languages, Federal Institute of Minas Gerais – Bambuí Campus, Bambuí, Minas Gerais State, Brazil
    292 rdf:type schema:Organization
     




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


    ...