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Rhizosphere Microbial Response to Multiple Metal(loid)s in Different Contaminated Arable Soils Indicates Crop-Specific Metal-Microbe Interactions.

Identifieur interne : 000098 ( Main/Exploration ); précédent : 000097; suivant : 000099

Rhizosphere Microbial Response to Multiple Metal(loid)s in Different Contaminated Arable Soils Indicates Crop-Specific Metal-Microbe Interactions.

Auteurs : Weimin Sun [République populaire de Chine] ; Enzong Xiao [République populaire de Chine] ; Valdis Krumins [États-Unis] ; Max M. H Ggblom [États-Unis] ; Yiran Dong [États-Unis] ; Zilun Pu [République populaire de Chine] ; Baoqin Li [République populaire de Chine] ; Qi Wang [République populaire de Chine] ; Tangfu Xiao [République populaire de Chine] ; Fangbai Li [République populaire de Chine]

Source :

RBID : pubmed:30291123

Descripteurs français

English descriptors

Abstract

In this study, we sampled rhizosphere soils from seven different agricultural fields adjacent to mining areas and cultivated with different crops (corn, rice, or soybean), to study the interactions among the innate microbiota, soil chemical properties, plants, and metal contamination. The rhizosphere bacterial communities were characterized by Illumina sequencing of the 16S rRNA genes, and their interactions with the local environments, including biotic and abiotic factors, were analyzed. Overall, these soils were heavily contaminated with multiple metal(loid)s, including V, Cr, Cu, Sb, Pb, Cd, and As. The interactions between environmental parameters and microbial communities were identified using multivariate regression tree analysis, canonical correspondence analysis, and network analysis. Notably, metal-microbe interactions were observed to be crop specific. The rhizosphere communities were strongly correlated with V and Cr levels, although these sites were contaminated from Sb and Zn/Pb mining, suggesting that these two less-addressed metals may play important roles in shaping the rhizosphere microbiota. Members of Gaiellaceae cooccurred with other bacterial taxa (biotic interactions) and several metal(loid)s, suggesting potential metal(loid) resistance or cycling involving this less-well-known taxon.IMPORTANCE The rhizosphere is the "hub" for plant-microbe interactions and an active region for exchange of nutrients and energy between soil and plants. In arable soils contaminated by mining activities, the rhizosphere may be an important barrier resisting metal uptake. Therefore, the responses of the rhizosphere microbiota to metal contamination involve important biogeochemical processes, which can affect metal bioavailability and thus impact food safety. However, understanding these processes remains a challenge. The current study illustrates that metal-microbe interactions may be crop specific and some less-addressed metals, such as V and Cr, may play important roles in shaping bacterial communities. The current study provides new insights into metal-microbe interactions and contributes to future implementation and monitoring efforts in contaminated arable soils.

DOI: 10.1128/AEM.00701-18
PubMed: 30291123
PubMed Central: PMC6275356


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<term>Bacteria (classification)</term>
<term>Bacteria (drug effects)</term>
<term>Bacteria (genetics)</term>
<term>Biodiversity (MeSH)</term>
<term>Biological Availability (MeSH)</term>
<term>Crops, Agricultural (microbiology)</term>
<term>Environmental Monitoring (MeSH)</term>
<term>Metals (analysis)</term>
<term>Metals (toxicity)</term>
<term>Microbial Interactions (drug effects)</term>
<term>Microbial Interactions (physiology)</term>
<term>Microbiota (genetics)</term>
<term>Mining (MeSH)</term>
<term>Multivariate Analysis (MeSH)</term>
<term>RNA, Ribosomal, 16S (genetics)</term>
<term>Regression Analysis (MeSH)</term>
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<term>Soil Microbiology (MeSH)</term>
<term>Soil Pollutants (analysis)</term>
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<term>ARN ribosomique 16S (génétique)</term>
<term>Analyse de régression (MeSH)</term>
<term>Analyse multifactorielle (MeSH)</term>
<term>Bactéries (classification)</term>
<term>Bactéries (effets des médicaments et des substances chimiques)</term>
<term>Bactéries (génétique)</term>
<term>Biodisponibilité (MeSH)</term>
<term>Biodiversité (MeSH)</term>
<term>Interactions microbiennes (effets des médicaments et des substances chimiques)</term>
<term>Interactions microbiennes (physiologie)</term>
<term>Microbiologie du sol (MeSH)</term>
<term>Microbiote (génétique)</term>
<term>Mine (MeSH)</term>
<term>Métaux (analyse)</term>
<term>Métaux (toxicité)</term>
<term>Polluants du sol (analyse)</term>
<term>Produits agricoles (microbiologie)</term>
<term>Rhizosphère (MeSH)</term>
<term>Sol (composition chimique)</term>
<term>Surveillance de l'environnement (MeSH)</term>
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<term>Metals</term>
<term>Soil Pollutants</term>
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<term>Métaux</term>
<term>Polluants du sol</term>
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<term>Bacteria</term>
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<term>Bactéries</term>
<term>Sol</term>
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<term>Bacteria</term>
<term>Microbial Interactions</term>
</keywords>
<keywords scheme="MESH" qualifier="effets des médicaments et des substances chimiques" xml:lang="fr">
<term>Bactéries</term>
<term>Interactions microbiennes</term>
</keywords>
<keywords scheme="MESH" qualifier="genetics" xml:lang="en">
<term>Bacteria</term>
<term>Microbiota</term>
<term>RNA, Ribosomal, 16S</term>
</keywords>
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<term>ARN ribosomique 16S</term>
<term>Bactéries</term>
<term>Microbiote</term>
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<term>Produits agricoles</term>
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<keywords scheme="MESH" qualifier="microbiology" xml:lang="en">
<term>Crops, Agricultural</term>
</keywords>
<keywords scheme="MESH" qualifier="physiologie" xml:lang="fr">
<term>Interactions microbiennes</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en">
<term>Microbial Interactions</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="toxicity" xml:lang="en">
<term>Metals</term>
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<term>Métaux</term>
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<term>Biological Availability</term>
<term>Environmental Monitoring</term>
<term>Mining</term>
<term>Multivariate Analysis</term>
<term>Regression Analysis</term>
<term>Rhizosphere</term>
<term>Soil Microbiology</term>
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<term>Analyse multifactorielle</term>
<term>Biodisponibilité</term>
<term>Biodiversité</term>
<term>Microbiologie du sol</term>
<term>Mine</term>
<term>Rhizosphère</term>
<term>Surveillance de l'environnement</term>
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<front>
<div type="abstract" xml:lang="en">In this study, we sampled rhizosphere soils from seven different agricultural fields adjacent to mining areas and cultivated with different crops (corn, rice, or soybean), to study the interactions among the innate microbiota, soil chemical properties, plants, and metal contamination. The rhizosphere bacterial communities were characterized by Illumina sequencing of the 16S rRNA genes, and their interactions with the local environments, including biotic and abiotic factors, were analyzed. Overall, these soils were heavily contaminated with multiple metal(loid)s, including V, Cr, Cu, Sb, Pb, Cd, and As. The interactions between environmental parameters and microbial communities were identified using multivariate regression tree analysis, canonical correspondence analysis, and network analysis. Notably, metal-microbe interactions were observed to be crop specific. The rhizosphere communities were strongly correlated with V and Cr levels, although these sites were contaminated from Sb and Zn/Pb mining, suggesting that these two less-addressed metals may play important roles in shaping the rhizosphere microbiota. Members of
<i>Gaiellaceae</i>
cooccurred with other bacterial taxa (biotic interactions) and several metal(loid)s, suggesting potential metal(loid) resistance or cycling involving this less-well-known taxon.
<b>IMPORTANCE</b>
The rhizosphere is the "hub" for plant-microbe interactions and an active region for exchange of nutrients and energy between soil and plants. In arable soils contaminated by mining activities, the rhizosphere may be an important barrier resisting metal uptake. Therefore, the responses of the rhizosphere microbiota to metal contamination involve important biogeochemical processes, which can affect metal bioavailability and thus impact food safety. However, understanding these processes remains a challenge. The current study illustrates that metal-microbe interactions may be crop specific and some less-addressed metals, such as V and Cr, may play important roles in shaping bacterial communities. The current study provides new insights into metal-microbe interactions and contributes to future implementation and monitoring efforts in contaminated arable soils.</div>
</front>
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<DateCompleted>
<Year>2019</Year>
<Month>10</Month>
<Day>11</Day>
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<DateRevised>
<Year>2019</Year>
<Month>10</Month>
<Day>11</Day>
</DateRevised>
<Article PubModel="Electronic-Print">
<Journal>
<ISSN IssnType="Electronic">1098-5336</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>84</Volume>
<Issue>24</Issue>
<PubDate>
<Year>2018</Year>
<Month>12</Month>
<Day>15</Day>
</PubDate>
</JournalIssue>
<Title>Applied and environmental microbiology</Title>
<ISOAbbreviation>Appl Environ Microbiol</ISOAbbreviation>
</Journal>
<ArticleTitle>Rhizosphere Microbial Response to Multiple Metal(loid)s in Different Contaminated Arable Soils Indicates Crop-Specific Metal-Microbe Interactions.</ArticleTitle>
<ELocationID EIdType="pii" ValidYN="Y">e00701-18</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1128/AEM.00701-18</ELocationID>
<Abstract>
<AbstractText>In this study, we sampled rhizosphere soils from seven different agricultural fields adjacent to mining areas and cultivated with different crops (corn, rice, or soybean), to study the interactions among the innate microbiota, soil chemical properties, plants, and metal contamination. The rhizosphere bacterial communities were characterized by Illumina sequencing of the 16S rRNA genes, and their interactions with the local environments, including biotic and abiotic factors, were analyzed. Overall, these soils were heavily contaminated with multiple metal(loid)s, including V, Cr, Cu, Sb, Pb, Cd, and As. The interactions between environmental parameters and microbial communities were identified using multivariate regression tree analysis, canonical correspondence analysis, and network analysis. Notably, metal-microbe interactions were observed to be crop specific. The rhizosphere communities were strongly correlated with V and Cr levels, although these sites were contaminated from Sb and Zn/Pb mining, suggesting that these two less-addressed metals may play important roles in shaping the rhizosphere microbiota. Members of
<i>Gaiellaceae</i>
cooccurred with other bacterial taxa (biotic interactions) and several metal(loid)s, suggesting potential metal(loid) resistance or cycling involving this less-well-known taxon.
<b>IMPORTANCE</b>
The rhizosphere is the "hub" for plant-microbe interactions and an active region for exchange of nutrients and energy between soil and plants. In arable soils contaminated by mining activities, the rhizosphere may be an important barrier resisting metal uptake. Therefore, the responses of the rhizosphere microbiota to metal contamination involve important biogeochemical processes, which can affect metal bioavailability and thus impact food safety. However, understanding these processes remains a challenge. The current study illustrates that metal-microbe interactions may be crop specific and some less-addressed metals, such as V and Cr, may play important roles in shaping bacterial communities. The current study provides new insights into metal-microbe interactions and contributes to future implementation and monitoring efforts in contaminated arable soils.</AbstractText>
<CopyrightInformation>Copyright © 2018 American Society for Microbiology.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y" EqualContrib="Y">
<LastName>Sun</LastName>
<ForeName>Weimin</ForeName>
<Initials>W</Initials>
<AffiliationInfo>
<Affiliation>Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-environmental Science & Technology, Guangzhou, China wmsun@soil.gd.cn cefbli@soil.gd.cn.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y" EqualContrib="Y">
<LastName>Xiao</LastName>
<ForeName>Enzong</ForeName>
<Initials>E</Initials>
<AffiliationInfo>
<Affiliation>Key Laboratory of Water Quality and Conservation in the Pearl River Delta, Ministry of Education, School of Environmental Science and Engineering, Guangzhou University, Guangzhou, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Krumins</LastName>
<ForeName>Valdis</ForeName>
<Initials>V</Initials>
<AffiliationInfo>
<Affiliation>Department of Environmental Sciences, Rutgers University, New Brunswick, New Jersey, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Häggblom</LastName>
<ForeName>Max M</ForeName>
<Initials>MM</Initials>
<AffiliationInfo>
<Affiliation>Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Dong</LastName>
<ForeName>Yiran</ForeName>
<Initials>Y</Initials>
<AffiliationInfo>
<Affiliation>Institute for Genomic Biology, University of Illinois, Urbana-Champaign, Urbana, Illinois, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Pu</LastName>
<ForeName>Zilun</ForeName>
<Initials>Z</Initials>
<AffiliationInfo>
<Affiliation>Yingrui Biotechnology Ltd., Guangzhou, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Li</LastName>
<ForeName>Baoqin</ForeName>
<Initials>B</Initials>
<AffiliationInfo>
<Affiliation>Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-environmental Science & Technology, Guangzhou, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Wang</LastName>
<ForeName>Qi</ForeName>
<Initials>Q</Initials>
<AffiliationInfo>
<Affiliation>Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-environmental Science & Technology, Guangzhou, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Xiao</LastName>
<ForeName>Tangfu</ForeName>
<Initials>T</Initials>
<AffiliationInfo>
<Affiliation>Key Laboratory of Water Quality and Conservation in the Pearl River Delta, Ministry of Education, School of Environmental Science and Engineering, Guangzhou University, Guangzhou, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Li</LastName>
<ForeName>Fangbai</ForeName>
<Initials>F</Initials>
<Identifier Source="ORCID">0000-0001-9027-9313</Identifier>
<AffiliationInfo>
<Affiliation>Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-environmental Science & Technology, Guangzhou, China wmsun@soil.gd.cn cefbli@soil.gd.cn.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2018</Year>
<Month>11</Month>
<Day>30</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>United States</Country>
<MedlineTA>Appl Environ Microbiol</MedlineTA>
<NlmUniqueID>7605801</NlmUniqueID>
<ISSNLinking>0099-2240</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList>
<Chemical>
<RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D008670">Metals</NameOfSubstance>
</Chemical>
<Chemical>
<RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D012336">RNA, Ribosomal, 16S</NameOfSubstance>
</Chemical>
<Chemical>
<RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D012987">Soil</NameOfSubstance>
</Chemical>
<Chemical>
<RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D012989">Soil Pollutants</NameOfSubstance>
</Chemical>
</ChemicalList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D001419" MajorTopicYN="N">Bacteria</DescriptorName>
<QualifierName UI="Q000145" MajorTopicYN="Y">classification</QualifierName>
<QualifierName UI="Q000187" MajorTopicYN="N">drug effects</QualifierName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D044822" MajorTopicYN="N">Biodiversity</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D001682" MajorTopicYN="N">Biological Availability</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D018556" MajorTopicYN="N">Crops, Agricultural</DescriptorName>
<QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D004784" MajorTopicYN="N">Environmental Monitoring</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008670" MajorTopicYN="N">Metals</DescriptorName>
<QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName>
<QualifierName UI="Q000633" MajorTopicYN="Y">toxicity</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D056265" MajorTopicYN="N">Microbial Interactions</DescriptorName>
<QualifierName UI="Q000187" MajorTopicYN="Y">drug effects</QualifierName>
<QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D064307" MajorTopicYN="N">Microbiota</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008906" MajorTopicYN="N">Mining</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D015999" MajorTopicYN="N">Multivariate Analysis</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012336" MajorTopicYN="N">RNA, Ribosomal, 16S</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012044" MajorTopicYN="N">Regression Analysis</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D058441" MajorTopicYN="Y">Rhizosphere</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012987" MajorTopicYN="N">Soil</DescriptorName>
<QualifierName UI="Q000737" MajorTopicYN="Y">chemistry</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012988" MajorTopicYN="Y">Soil Microbiology</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012989" MajorTopicYN="N">Soil Pollutants</DescriptorName>
<QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="Y">Gaiellaceae </Keyword>
<Keyword MajorTopicYN="Y">agricultural soils</Keyword>
<Keyword MajorTopicYN="Y">cooccurrence network</Keyword>
<Keyword MajorTopicYN="Y">metal-microbe interactions</Keyword>
<Keyword MajorTopicYN="Y">rhizosphere</Keyword>
</KeywordList>
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<Month>10</Month>
<Day>01</Day>
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<affiliations>
<list>
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<li>République populaire de Chine</li>
<li>États-Unis</li>
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<li>Guangdong</li>
<li>Illinois</li>
<li>New Jersey</li>
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<name sortKey="Sun, Weimin" sort="Sun, Weimin" uniqKey="Sun W" first="Weimin" last="Sun">Weimin Sun</name>
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<name sortKey="Li, Fangbai" sort="Li, Fangbai" uniqKey="Li F" first="Fangbai" last="Li">Fangbai Li</name>
<name sortKey="Pu, Zilun" sort="Pu, Zilun" uniqKey="Pu Z" first="Zilun" last="Pu">Zilun Pu</name>
<name sortKey="Wang, Qi" sort="Wang, Qi" uniqKey="Wang Q" first="Qi" last="Wang">Qi Wang</name>
<name sortKey="Xiao, Enzong" sort="Xiao, Enzong" uniqKey="Xiao E" first="Enzong" last="Xiao">Enzong Xiao</name>
<name sortKey="Xiao, Tangfu" sort="Xiao, Tangfu" uniqKey="Xiao T" first="Tangfu" last="Xiao">Tangfu Xiao</name>
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<country name="États-Unis">
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<name sortKey="Dong, Yiran" sort="Dong, Yiran" uniqKey="Dong Y" first="Yiran" last="Dong">Yiran Dong</name>
<name sortKey="H Ggblom, Max M" sort="H Ggblom, Max M" uniqKey="H Ggblom M" first="Max M" last="H Ggblom">Max M. H Ggblom</name>
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   |wiki=    Bois
   |area=    TreeMicInterV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:30291123
   |texte=   Rhizosphere Microbial Response to Multiple Metal(loid)s in Different Contaminated Arable Soils Indicates Crop-Specific Metal-Microbe Interactions.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:30291123" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a TreeMicInterV1 

Wicri

This area was generated with Dilib version V0.6.37.
Data generation: Thu Nov 19 16:52:21 2020. Site generation: Thu Nov 19 16:52:50 2020