Microbial Network and Soil Properties Are Changed in Bacterial Wilt-Susceptible Soil
Bacterial wilt disease is a devastating disease of crops, which leads to huge economic loss worldwide. It is hypothesized that the occurrence of bacterial wilt may be related to changes in soil chemical properties and microbial interactions. In this study, we compared the soil chemical properties an...
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description | Bacterial wilt disease is a devastating disease of crops, which leads to huge economic loss worldwide. It is hypothesized that the occurrence of bacterial wilt may be related to changes in soil chemical properties and microbial interactions. In this study, we compared the soil chemical properties and microbial network structures of a healthy soil (HS) and a bacterial wilt-susceptible soil (BWS). The contents of available nitrogen, potassium, and phosphorus and the soil pH in the BWS were significantly lower than those in the HS. BWS showed nutrient deficiency and acidification in comparison with the HS. The structure and composition of the BWS network were quite different from those of the HS network. The BWS network had fewer modules and edges and lower connectivity than the HS network. The HS network contained more interacting species, more key microorganisms, and better high-order organization and thus was more complex and stable than the BWS network. Most nodes and module memberships were unshared by the two networks, while the ones that were shared showed different topological roles. Some generalists in the HS network became specialists in the BWS network, indicating that the topological roles of microbes were changed and key microorganisms were shifted in the BWS. In summary, the composition and structure of the microbial network of the BWS were different from that of the HS. Many microbial network connections were missing in the BWS, which most likely provided conditions leading to higher rates of bacterial wilt disease.
Bacterial wilt disease is caused by the pathogen
and is a widespread devastating soilborne disease leading to huge economic losses worldwide. The soil microbial community is crucial to the capacity of soils to suppress soilborne diseases through complex interactions. Network analysis can effectively explore these complex interactions. In this study, we used a random matrix theory (RMT)-based network approach to investigate the changes in microbial network and associated microbial interactions in a bacterial wilt-susceptible soil (BWS) in comparison to a healthy soil (HS). We found that the structure and composition of the microbial network in BWSs were quite different from those of the HS. The BWS network had fewer modules, edges, and key microorganisms and lower connectivity than the HS network. In the BWSs, apparently the topological role of microbes was changed and key microorganisms were shifted to specialists. |
doi_str_mv | 10.1128/AEM.00162-19 |
format | Article |
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Bacterial wilt disease is caused by the pathogen
and is a widespread devastating soilborne disease leading to huge economic losses worldwide. The soil microbial community is crucial to the capacity of soils to suppress soilborne diseases through complex interactions. Network analysis can effectively explore these complex interactions. In this study, we used a random matrix theory (RMT)-based network approach to investigate the changes in microbial network and associated microbial interactions in a bacterial wilt-susceptible soil (BWS) in comparison to a healthy soil (HS). We found that the structure and composition of the microbial network in BWSs were quite different from those of the HS. The BWS network had fewer modules, edges, and key microorganisms and lower connectivity than the HS network. In the BWSs, apparently the topological role of microbes was changed and key microorganisms were shifted to specialists.</description><identifier>ISSN: 0099-2240</identifier><identifier>EISSN: 1098-5336</identifier><identifier>DOI: 10.1128/AEM.00162-19</identifier><identifier>PMID: 31003986</identifier><language>eng</language><publisher>United States: American Society for Microbiology</publisher><subject>Acidification ; Bacteria ; Bacteria - classification ; Bacteria - genetics ; Bacteria - isolation & purification ; Chemical properties ; Composition ; Hydrogen-Ion Concentration ; Microbial Consortia ; Microbial Ecology ; Microorganisms ; Modules ; Nicotiana - microbiology ; Nutrient deficiency ; Organic chemistry ; Phosphorus ; Phylogeny ; Plant Diseases - microbiology ; Potassium ; Ralstonia solanacearum - physiology ; Soil - chemistry ; Soil Microbiology ; Soil microorganisms ; Soil pH ; Soil properties ; Topology ; Wilt</subject><ispartof>Applied and environmental microbiology, 2019-07, Vol.85 (13)</ispartof><rights>Copyright © 2019 American Society for Microbiology.</rights><rights>Copyright American Society for Microbiology Jul 2019</rights><rights>Copyright © 2019 American Society for Microbiology. 2019 American Society for Microbiology</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c455t-4b7802999e81751ef059eb7f7c1841956684ea7af5a2ee01798ab0749c3631603</citedby><cites>FETCH-LOGICAL-c455t-4b7802999e81751ef059eb7f7c1841956684ea7af5a2ee01798ab0749c3631603</cites><orcidid>0000-0002-6396-2819</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581179/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581179/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,3186,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31003986$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Vieille, Claire</contributor><creatorcontrib>Qi, Gaofu</creatorcontrib><creatorcontrib>Ma, Gaoqiang</creatorcontrib><creatorcontrib>Chen, Shu</creatorcontrib><creatorcontrib>Lin, Changchun</creatorcontrib><creatorcontrib>Zhao, Xiuyun</creatorcontrib><title>Microbial Network and Soil Properties Are Changed in Bacterial Wilt-Susceptible Soil</title><title>Applied and environmental microbiology</title><addtitle>Appl Environ Microbiol</addtitle><description>Bacterial wilt disease is a devastating disease of crops, which leads to huge economic loss worldwide. It is hypothesized that the occurrence of bacterial wilt may be related to changes in soil chemical properties and microbial interactions. In this study, we compared the soil chemical properties and microbial network structures of a healthy soil (HS) and a bacterial wilt-susceptible soil (BWS). The contents of available nitrogen, potassium, and phosphorus and the soil pH in the BWS were significantly lower than those in the HS. BWS showed nutrient deficiency and acidification in comparison with the HS. The structure and composition of the BWS network were quite different from those of the HS network. The BWS network had fewer modules and edges and lower connectivity than the HS network. The HS network contained more interacting species, more key microorganisms, and better high-order organization and thus was more complex and stable than the BWS network. Most nodes and module memberships were unshared by the two networks, while the ones that were shared showed different topological roles. Some generalists in the HS network became specialists in the BWS network, indicating that the topological roles of microbes were changed and key microorganisms were shifted in the BWS. In summary, the composition and structure of the microbial network of the BWS were different from that of the HS. Many microbial network connections were missing in the BWS, which most likely provided conditions leading to higher rates of bacterial wilt disease.
Bacterial wilt disease is caused by the pathogen
and is a widespread devastating soilborne disease leading to huge economic losses worldwide. The soil microbial community is crucial to the capacity of soils to suppress soilborne diseases through complex interactions. Network analysis can effectively explore these complex interactions. In this study, we used a random matrix theory (RMT)-based network approach to investigate the changes in microbial network and associated microbial interactions in a bacterial wilt-susceptible soil (BWS) in comparison to a healthy soil (HS). We found that the structure and composition of the microbial network in BWSs were quite different from those of the HS. The BWS network had fewer modules, edges, and key microorganisms and lower connectivity than the HS network. In the BWSs, apparently the topological role of microbes was changed and key microorganisms were shifted to specialists.</description><subject>Acidification</subject><subject>Bacteria</subject><subject>Bacteria - classification</subject><subject>Bacteria - genetics</subject><subject>Bacteria - isolation & purification</subject><subject>Chemical properties</subject><subject>Composition</subject><subject>Hydrogen-Ion Concentration</subject><subject>Microbial Consortia</subject><subject>Microbial Ecology</subject><subject>Microorganisms</subject><subject>Modules</subject><subject>Nicotiana - microbiology</subject><subject>Nutrient deficiency</subject><subject>Organic chemistry</subject><subject>Phosphorus</subject><subject>Phylogeny</subject><subject>Plant Diseases - microbiology</subject><subject>Potassium</subject><subject>Ralstonia solanacearum - physiology</subject><subject>Soil - chemistry</subject><subject>Soil Microbiology</subject><subject>Soil microorganisms</subject><subject>Soil pH</subject><subject>Soil properties</subject><subject>Topology</subject><subject>Wilt</subject><issn>0099-2240</issn><issn>1098-5336</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkc1v1EAMxUcIRJfCjTOKxIUDKfZ8zwVpWZUWqQWkFnEcTbJOOyWbWWYSEP892X6JcvLBPz_7-TH2EuEAkdt3y8PTAwDUvEb3iC0QnK2VEPoxWwA4V3MuYY89K-UKACRo-5TtCQQQzuoFOz-NbU5NDH31mcbfKf-owrCuzlLsq685bSmPkUq1zFStLsNwQesqDtWH0I6Ud0PfYz_WZ1NpaTvGpqfryefsSRf6Qi9u6z779vHwfHVcn3w5-rRantStVGqsZWMscOccWTQKqQPlqDGdadFKdEprKymY0KnAiQCNs6EBI10rtEANYp-9v9HdTs2G1i0NYw693-a4CfmPTyH6h50hXvqL9MtrZXGWmwXe3Ark9HOiMvpNnK30fRgoTcVzjuikU8bM6Ov_0Ks05WG2N1NKcIlK8pl6e0PNTy0lU3d_DILfxeXnuPx1XB53-1_9a-AevstH_AWe4I6t</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Qi, Gaofu</creator><creator>Ma, Gaoqiang</creator><creator>Chen, Shu</creator><creator>Lin, Changchun</creator><creator>Zhao, Xiuyun</creator><general>American Society for Microbiology</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QO</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7T7</scope><scope>7TM</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>SOI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6396-2819</orcidid></search><sort><creationdate>20190701</creationdate><title>Microbial Network and Soil Properties Are Changed in Bacterial Wilt-Susceptible Soil</title><author>Qi, Gaofu ; Ma, Gaoqiang ; Chen, Shu ; Lin, Changchun ; Zhao, Xiuyun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c455t-4b7802999e81751ef059eb7f7c1841956684ea7af5a2ee01798ab0749c3631603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Acidification</topic><topic>Bacteria</topic><topic>Bacteria - classification</topic><topic>Bacteria - genetics</topic><topic>Bacteria - isolation & purification</topic><topic>Chemical properties</topic><topic>Composition</topic><topic>Hydrogen-Ion Concentration</topic><topic>Microbial Consortia</topic><topic>Microbial Ecology</topic><topic>Microorganisms</topic><topic>Modules</topic><topic>Nicotiana - microbiology</topic><topic>Nutrient deficiency</topic><topic>Organic chemistry</topic><topic>Phosphorus</topic><topic>Phylogeny</topic><topic>Plant Diseases - microbiology</topic><topic>Potassium</topic><topic>Ralstonia solanacearum - physiology</topic><topic>Soil - chemistry</topic><topic>Soil Microbiology</topic><topic>Soil microorganisms</topic><topic>Soil pH</topic><topic>Soil properties</topic><topic>Topology</topic><topic>Wilt</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qi, Gaofu</creatorcontrib><creatorcontrib>Ma, Gaoqiang</creatorcontrib><creatorcontrib>Chen, Shu</creatorcontrib><creatorcontrib>Lin, Changchun</creatorcontrib><creatorcontrib>Zhao, Xiuyun</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Applied and environmental microbiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Qi, Gaofu</au><au>Ma, Gaoqiang</au><au>Chen, Shu</au><au>Lin, Changchun</au><au>Zhao, Xiuyun</au><au>Vieille, Claire</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Microbial Network and Soil Properties Are Changed in Bacterial Wilt-Susceptible Soil</atitle><jtitle>Applied and environmental microbiology</jtitle><addtitle>Appl Environ Microbiol</addtitle><date>2019-07-01</date><risdate>2019</risdate><volume>85</volume><issue>13</issue><issn>0099-2240</issn><eissn>1098-5336</eissn><abstract>Bacterial wilt disease is a devastating disease of crops, which leads to huge economic loss worldwide. It is hypothesized that the occurrence of bacterial wilt may be related to changes in soil chemical properties and microbial interactions. In this study, we compared the soil chemical properties and microbial network structures of a healthy soil (HS) and a bacterial wilt-susceptible soil (BWS). The contents of available nitrogen, potassium, and phosphorus and the soil pH in the BWS were significantly lower than those in the HS. BWS showed nutrient deficiency and acidification in comparison with the HS. The structure and composition of the BWS network were quite different from those of the HS network. The BWS network had fewer modules and edges and lower connectivity than the HS network. The HS network contained more interacting species, more key microorganisms, and better high-order organization and thus was more complex and stable than the BWS network. Most nodes and module memberships were unshared by the two networks, while the ones that were shared showed different topological roles. Some generalists in the HS network became specialists in the BWS network, indicating that the topological roles of microbes were changed and key microorganisms were shifted in the BWS. In summary, the composition and structure of the microbial network of the BWS were different from that of the HS. Many microbial network connections were missing in the BWS, which most likely provided conditions leading to higher rates of bacterial wilt disease.
Bacterial wilt disease is caused by the pathogen
and is a widespread devastating soilborne disease leading to huge economic losses worldwide. The soil microbial community is crucial to the capacity of soils to suppress soilborne diseases through complex interactions. Network analysis can effectively explore these complex interactions. In this study, we used a random matrix theory (RMT)-based network approach to investigate the changes in microbial network and associated microbial interactions in a bacterial wilt-susceptible soil (BWS) in comparison to a healthy soil (HS). We found that the structure and composition of the microbial network in BWSs were quite different from those of the HS. The BWS network had fewer modules, edges, and key microorganisms and lower connectivity than the HS network. In the BWSs, apparently the topological role of microbes was changed and key microorganisms were shifted to specialists.</abstract><cop>United States</cop><pub>American Society for Microbiology</pub><pmid>31003986</pmid><doi>10.1128/AEM.00162-19</doi><orcidid>https://orcid.org/0000-0002-6396-2819</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Acidification Bacteria Bacteria - classification Bacteria - genetics Bacteria - isolation & purification Chemical properties Composition Hydrogen-Ion Concentration Microbial Consortia Microbial Ecology Microorganisms Modules Nicotiana - microbiology Nutrient deficiency Organic chemistry Phosphorus Phylogeny Plant Diseases - microbiology Potassium Ralstonia solanacearum - physiology Soil - chemistry Soil Microbiology Soil microorganisms Soil pH Soil properties Topology Wilt |
title | Microbial Network and Soil Properties Are Changed in Bacterial Wilt-Susceptible Soil |
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