Correlation models between environmental factors and bacterial resistance to antimony and copper

Antimony (Sb) and copper (Cu) are toxic heavy metals that are associated with a wide variety of minerals. Sb(III)-oxidizing bacteria that convert the toxic Sb(III) to the less toxic Sb(V) are potentially useful for environmental Sb bioremediation. A total of 125 culturable Sb(III)/Cu(II)-resistant b...

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Veröffentlicht in:PloS one 2013-10, Vol.8 (10), p.e78533
Hauptverfasser: Shi, Zunji, Cao, Zhan, Qin, Dong, Zhu, Wentao, Wang, Qian, Li, Mingshun, Wang, Gejiao
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Zhu, Wentao
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Li, Mingshun
Wang, Gejiao
description Antimony (Sb) and copper (Cu) are toxic heavy metals that are associated with a wide variety of minerals. Sb(III)-oxidizing bacteria that convert the toxic Sb(III) to the less toxic Sb(V) are potentially useful for environmental Sb bioremediation. A total of 125 culturable Sb(III)/Cu(II)-resistant bacteria from 11 different types of mining soils were isolated. Four strains identified as Arthrobacter, Acinetobacter and Janibacter exhibited notably high minimum inhibitory concentrations (MICs) for Sb(III) (>10 mM),making them the most highly Sb(III)-resistant bacteria to date. Thirty-six strains were able to oxidize Sb(III), including Pseudomonas-, Comamonas-, Acinetobacter-, Sphingopyxis-, Paracoccus- Aminobacter-, Arthrobacter-, Bacillus-, Janibacter- and Variovorax-like isolates. Canonical correspondence analysis (CCA) revealed that the soil concentrations of Sb and Cu were the most obvious environmental factors affecting the culturable bacterial population structures. Stepwise linear regression was used to create two predictive models for the correlation between soil characteristics and the bacterial Sb(III) or Cu(II) resistance. The concentrations of Sb and Cu in the soil was the significant factors affecting the bacterial Sb(III) resistance, whereas the concentrations of S and P in the soil greatly affected the bacterial Cu(II) resistance. The two stepwise linear regression models that we derived are as follows: MIC(Sb(III))=606.605+0.14533 x C(Sb)+0.4128 x C(Cu) and MIC((Cu)(II))=58.3844+0.02119 x C(S)+0.00199 x CP [where the MIC(Sb(III)) and MIC(Cu(II)) represent the average bacterial MIC for the metal of each soil (μM), and the C(Sb), C(Cu), C(S) and C(P) represent concentrations for Sb, Cu, S and P (mg/kg) in soil, respectively, p
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Sb(III)-oxidizing bacteria that convert the toxic Sb(III) to the less toxic Sb(V) are potentially useful for environmental Sb bioremediation. A total of 125 culturable Sb(III)/Cu(II)-resistant bacteria from 11 different types of mining soils were isolated. Four strains identified as Arthrobacter, Acinetobacter and Janibacter exhibited notably high minimum inhibitory concentrations (MICs) for Sb(III) (&gt;10 mM),making them the most highly Sb(III)-resistant bacteria to date. Thirty-six strains were able to oxidize Sb(III), including Pseudomonas-, Comamonas-, Acinetobacter-, Sphingopyxis-, Paracoccus- Aminobacter-, Arthrobacter-, Bacillus-, Janibacter- and Variovorax-like isolates. Canonical correspondence analysis (CCA) revealed that the soil concentrations of Sb and Cu were the most obvious environmental factors affecting the culturable bacterial population structures. Stepwise linear regression was used to create two predictive models for the correlation between soil characteristics and the bacterial Sb(III) or Cu(II) resistance. The concentrations of Sb and Cu in the soil was the significant factors affecting the bacterial Sb(III) resistance, whereas the concentrations of S and P in the soil greatly affected the bacterial Cu(II) resistance. The two stepwise linear regression models that we derived are as follows: MIC(Sb(III))=606.605+0.14533 x C(Sb)+0.4128 x C(Cu) and MIC((Cu)(II))=58.3844+0.02119 x C(S)+0.00199 x CP [where the MIC(Sb(III)) and MIC(Cu(II)) represent the average bacterial MIC for the metal of each soil (μM), and the C(Sb), C(Cu), C(S) and C(P) represent concentrations for Sb, Cu, S and P (mg/kg) in soil, respectively, p&lt;0.01]. The stepwise linear regression models we developed suggest that metals as well as other soil physicochemical parameters can contribute to bacterial resistance to metals.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0078533</identifier><identifier>PMID: 24205252</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acinetobacter ; Agrobacterium tumefaciens ; Antimony ; Antimony - toxicity ; Arsenic ; Arthrobacter ; Bacillus ; Bacteria ; Bacteria - drug effects ; Bacteria - growth &amp; development ; Bacteria - isolation &amp; purification ; Bacteria - metabolism ; Biodegradation, Environmental ; Biodiversity ; Bioremediation ; Copper ; Copper - toxicity ; Correlation ; Environment ; Environment models ; Environmental factors ; Environmental Pollutants - toxicity ; Genes ; Heavy metals ; Laboratories ; Metals ; Microbiology ; Microorganisms ; Minerals ; Minimum inhibitory concentration ; Mining ; Models, Theoretical ; Oxidation ; Oxidation-Reduction ; Prediction models ; Pseudomonas ; Regression analysis ; Regression models ; Resistance factors ; Soil characteristics ; Soil contamination ; Soil Microbiology ; Soil microorganisms ; Soils ; Strains (organisms) ; Variables</subject><ispartof>PloS one, 2013-10, Vol.8 (10), p.e78533</ispartof><rights>2013 Shi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Sb(III)-oxidizing bacteria that convert the toxic Sb(III) to the less toxic Sb(V) are potentially useful for environmental Sb bioremediation. A total of 125 culturable Sb(III)/Cu(II)-resistant bacteria from 11 different types of mining soils were isolated. Four strains identified as Arthrobacter, Acinetobacter and Janibacter exhibited notably high minimum inhibitory concentrations (MICs) for Sb(III) (&gt;10 mM),making them the most highly Sb(III)-resistant bacteria to date. Thirty-six strains were able to oxidize Sb(III), including Pseudomonas-, Comamonas-, Acinetobacter-, Sphingopyxis-, Paracoccus- Aminobacter-, Arthrobacter-, Bacillus-, Janibacter- and Variovorax-like isolates. Canonical correspondence analysis (CCA) revealed that the soil concentrations of Sb and Cu were the most obvious environmental factors affecting the culturable bacterial population structures. Stepwise linear regression was used to create two predictive models for the correlation between soil characteristics and the bacterial Sb(III) or Cu(II) resistance. The concentrations of Sb and Cu in the soil was the significant factors affecting the bacterial Sb(III) resistance, whereas the concentrations of S and P in the soil greatly affected the bacterial Cu(II) resistance. The two stepwise linear regression models that we derived are as follows: MIC(Sb(III))=606.605+0.14533 x C(Sb)+0.4128 x C(Cu) and MIC((Cu)(II))=58.3844+0.02119 x C(S)+0.00199 x CP [where the MIC(Sb(III)) and MIC(Cu(II)) represent the average bacterial MIC for the metal of each soil (μM), and the C(Sb), C(Cu), C(S) and C(P) represent concentrations for Sb, Cu, S and P (mg/kg) in soil, respectively, p&lt;0.01]. 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Cao, Zhan ; Qin, Dong ; Zhu, Wentao ; Wang, Qian ; Li, Mingshun ; Wang, Gejiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c592t-3daa441e88bdcd9e4161ae7f8a1f7b35176f145b0445d802d1ba762e8e637ff73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Acinetobacter</topic><topic>Agrobacterium tumefaciens</topic><topic>Antimony</topic><topic>Antimony - toxicity</topic><topic>Arsenic</topic><topic>Arthrobacter</topic><topic>Bacillus</topic><topic>Bacteria</topic><topic>Bacteria - drug effects</topic><topic>Bacteria - growth &amp; development</topic><topic>Bacteria - isolation &amp; purification</topic><topic>Bacteria - metabolism</topic><topic>Biodegradation, Environmental</topic><topic>Biodiversity</topic><topic>Bioremediation</topic><topic>Copper</topic><topic>Copper - toxicity</topic><topic>Correlation</topic><topic>Environment</topic><topic>Environment models</topic><topic>Environmental factors</topic><topic>Environmental Pollutants - toxicity</topic><topic>Genes</topic><topic>Heavy metals</topic><topic>Laboratories</topic><topic>Metals</topic><topic>Microbiology</topic><topic>Microorganisms</topic><topic>Minerals</topic><topic>Minimum inhibitory concentration</topic><topic>Mining</topic><topic>Models, Theoretical</topic><topic>Oxidation</topic><topic>Oxidation-Reduction</topic><topic>Prediction models</topic><topic>Pseudomonas</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Resistance factors</topic><topic>Soil characteristics</topic><topic>Soil contamination</topic><topic>Soil Microbiology</topic><topic>Soil microorganisms</topic><topic>Soils</topic><topic>Strains (organisms)</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shi, Zunji</creatorcontrib><creatorcontrib>Cao, Zhan</creatorcontrib><creatorcontrib>Qin, Dong</creatorcontrib><creatorcontrib>Zhu, Wentao</creatorcontrib><creatorcontrib>Wang, Qian</creatorcontrib><creatorcontrib>Li, Mingshun</creatorcontrib><creatorcontrib>Wang, Gejiao</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing &amp; 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Sb(III)-oxidizing bacteria that convert the toxic Sb(III) to the less toxic Sb(V) are potentially useful for environmental Sb bioremediation. A total of 125 culturable Sb(III)/Cu(II)-resistant bacteria from 11 different types of mining soils were isolated. Four strains identified as Arthrobacter, Acinetobacter and Janibacter exhibited notably high minimum inhibitory concentrations (MICs) for Sb(III) (&gt;10 mM),making them the most highly Sb(III)-resistant bacteria to date. Thirty-six strains were able to oxidize Sb(III), including Pseudomonas-, Comamonas-, Acinetobacter-, Sphingopyxis-, Paracoccus- Aminobacter-, Arthrobacter-, Bacillus-, Janibacter- and Variovorax-like isolates. Canonical correspondence analysis (CCA) revealed that the soil concentrations of Sb and Cu were the most obvious environmental factors affecting the culturable bacterial population structures. Stepwise linear regression was used to create two predictive models for the correlation between soil characteristics and the bacterial Sb(III) or Cu(II) resistance. The concentrations of Sb and Cu in the soil was the significant factors affecting the bacterial Sb(III) resistance, whereas the concentrations of S and P in the soil greatly affected the bacterial Cu(II) resistance. The two stepwise linear regression models that we derived are as follows: MIC(Sb(III))=606.605+0.14533 x C(Sb)+0.4128 x C(Cu) and MIC((Cu)(II))=58.3844+0.02119 x C(S)+0.00199 x CP [where the MIC(Sb(III)) and MIC(Cu(II)) represent the average bacterial MIC for the metal of each soil (μM), and the C(Sb), C(Cu), C(S) and C(P) represent concentrations for Sb, Cu, S and P (mg/kg) in soil, respectively, p&lt;0.01]. The stepwise linear regression models we developed suggest that metals as well as other soil physicochemical parameters can contribute to bacterial resistance to metals.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24205252</pmid><doi>10.1371/journal.pone.0078533</doi><oa>free_for_read</oa></addata></record>
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subjects Acinetobacter
Agrobacterium tumefaciens
Antimony
Antimony - toxicity
Arsenic
Arthrobacter
Bacillus
Bacteria
Bacteria - drug effects
Bacteria - growth & development
Bacteria - isolation & purification
Bacteria - metabolism
Biodegradation, Environmental
Biodiversity
Bioremediation
Copper
Copper - toxicity
Correlation
Environment
Environment models
Environmental factors
Environmental Pollutants - toxicity
Genes
Heavy metals
Laboratories
Metals
Microbiology
Microorganisms
Minerals
Minimum inhibitory concentration
Mining
Models, Theoretical
Oxidation
Oxidation-Reduction
Prediction models
Pseudomonas
Regression analysis
Regression models
Resistance factors
Soil characteristics
Soil contamination
Soil Microbiology
Soil microorganisms
Soils
Strains (organisms)
Variables
title Correlation models between environmental factors and bacterial resistance to antimony and copper
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