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Relationships between Bacterial Tolerance Levels and Forms of Copper and Zinc in Soils
The effects of various fractions of copper (Cu) and zinc (Zn) on soil bacteria were evaluated by the heavy metal tolerance level of the bacterial community (IC50) in soil samples collected near a mine. The IC50 values had no relationship with the total concentrations of Zn and Cu in the soils, but w...
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Published in: | Journal of environmental quality 2002-09, Vol.31 (5), p.1570-1575 |
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creator | Saeki, K Kunito, T Oyaizu, H Matsumoto, S |
description | The effects of various fractions of copper (Cu) and zinc (Zn) on soil bacteria were evaluated by the heavy metal tolerance level of the bacterial community (IC50) in soil samples collected near a mine. The IC50 values had no relationship with the total concentrations of Zn and Cu in the soils, but were weakly correlated with the 0.05 M CaCl2–extractable form of each metal in the soils (Cu: R 2 = 0.670, p < 0.01; Zn: R 2 = 0.453, p < 0.05). It was found that the IC50 correlated strongly with the total concentration of each metal in the extracts from water-saturated soil samples, described below as “soil solution” (Cu: R 2 = 0.789, p < 0.01; Zn: R 2 = 0.617, p < 0.01). The speciation of these metals in the soil solutions was estimated using an equilibrium thermodynamic computer model, SOILCHEM. Simulated free Cu ion ranged from 18 to 98% of total Cu, and organic complexes of Cu ranged from |
doi_str_mv | 10.2134/jeq2002.1570 |
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The IC50 values had no relationship with the total concentrations of Zn and Cu in the soils, but were weakly correlated with the 0.05 M CaCl2–extractable form of each metal in the soils (Cu: R 2 = 0.670, p < 0.01; Zn: R 2 = 0.453, p < 0.05). It was found that the IC50 correlated strongly with the total concentration of each metal in the extracts from water-saturated soil samples, described below as “soil solution” (Cu: R 2 = 0.789, p < 0.01; Zn: R 2 = 0.617, p < 0.01). The speciation of these metals in the soil solutions was estimated using an equilibrium thermodynamic computer model, SOILCHEM. Simulated free Cu ion ranged from 18 to 98% of total Cu, and organic complexes of Cu ranged from <1 to 56%. In all samples, Zn existing as the free ion was estimated to be more than 80% of total Zn in the soil solutions. The IC50 values were also correlated with the estimated free metal ion activities, but with slightly lower correlation coefficients than found for total concentration in the soil solutions (Cu: R 2 = 0.735, p < 0.01; Zn: R 2 = 0.610, p < 0.01). The results suggest that not only high metal ion activities, but also total dissolved metal concentrations in soil solutions may affect the bacterial community.]]></description><identifier>ISSN: 0047-2425</identifier><identifier>EISSN: 1537-2537</identifier><identifier>DOI: 10.2134/jeq2002.1570</identifier><identifier>PMID: 12371174</identifier><identifier>CODEN: JEVQAA</identifier><language>eng</language><publisher>Madison: American Society of Agronomy, Crop Science Society of America, Soil Science Society</publisher><subject>Adaptation, Physiological ; Animal, plant and microbial ecology ; Applied ecology ; Bacteria ; Biological and medical sciences ; Calcium chloride ; Copper ; Copper - adverse effects ; Copper - pharmacology ; Correlation coefficient ; Ecotoxicology, biological effects of pollution ; Fundamental and applied biological sciences. Psychology ; Heavy metals ; Metal concentrations ; Metal ions ; Microbial ecology ; Saturated soils ; Soil ; Soil Microbiology ; Soil Pollutants - adverse effects ; Soil Pollutants - pharmacology ; Soil solution ; Solubility ; Speciation ; Terrestrial environment, soil, air ; Zinc ; Zinc - adverse effects ; Zinc - pharmacology</subject><ispartof>Journal of environmental quality, 2002-09, Vol.31 (5), p.1570-1575</ispartof><rights>Published in J. Environ. Qual.31:1570–1575.</rights><rights>2002 INIST-CNRS</rights><rights>Copyright American Society of Agronomy Sep/Oct 2002</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a6020-93fb07cb0eb39a8dc7be9edbac335d08b6af6debef9e472f2f9d7af86bfa68593</citedby><cites>FETCH-LOGICAL-a6020-93fb07cb0eb39a8dc7be9edbac335d08b6af6debef9e472f2f9d7af86bfa68593</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=13923177$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12371174$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Saeki, K</creatorcontrib><creatorcontrib>Kunito, T</creatorcontrib><creatorcontrib>Oyaizu, H</creatorcontrib><creatorcontrib>Matsumoto, S</creatorcontrib><title>Relationships between Bacterial Tolerance Levels and Forms of Copper and Zinc in Soils</title><title>Journal of environmental quality</title><addtitle>J Environ Qual</addtitle><description><![CDATA[The effects of various fractions of copper (Cu) and zinc (Zn) on soil bacteria were evaluated by the heavy metal tolerance level of the bacterial community (IC50) in soil samples collected near a mine. The IC50 values had no relationship with the total concentrations of Zn and Cu in the soils, but were weakly correlated with the 0.05 M CaCl2–extractable form of each metal in the soils (Cu: R 2 = 0.670, p < 0.01; Zn: R 2 = 0.453, p < 0.05). It was found that the IC50 correlated strongly with the total concentration of each metal in the extracts from water-saturated soil samples, described below as “soil solution” (Cu: R 2 = 0.789, p < 0.01; Zn: R 2 = 0.617, p < 0.01). The speciation of these metals in the soil solutions was estimated using an equilibrium thermodynamic computer model, SOILCHEM. Simulated free Cu ion ranged from 18 to 98% of total Cu, and organic complexes of Cu ranged from <1 to 56%. In all samples, Zn existing as the free ion was estimated to be more than 80% of total Zn in the soil solutions. The IC50 values were also correlated with the estimated free metal ion activities, but with slightly lower correlation coefficients than found for total concentration in the soil solutions (Cu: R 2 = 0.735, p < 0.01; Zn: R 2 = 0.610, p < 0.01). The results suggest that not only high metal ion activities, but also total dissolved metal concentrations in soil solutions may affect the bacterial community.]]></description><subject>Adaptation, Physiological</subject><subject>Animal, plant and microbial ecology</subject><subject>Applied ecology</subject><subject>Bacteria</subject><subject>Biological and medical sciences</subject><subject>Calcium chloride</subject><subject>Copper</subject><subject>Copper - adverse effects</subject><subject>Copper - pharmacology</subject><subject>Correlation coefficient</subject><subject>Ecotoxicology, biological effects of pollution</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Heavy metals</subject><subject>Metal concentrations</subject><subject>Metal ions</subject><subject>Microbial ecology</subject><subject>Saturated soils</subject><subject>Soil</subject><subject>Soil Microbiology</subject><subject>Soil Pollutants - adverse effects</subject><subject>Soil Pollutants - pharmacology</subject><subject>Soil solution</subject><subject>Solubility</subject><subject>Speciation</subject><subject>Terrestrial environment, soil, air</subject><subject>Zinc</subject><subject>Zinc - adverse effects</subject><subject>Zinc - pharmacology</subject><issn>0047-2425</issn><issn>1537-2537</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><recordid>eNqFkU1vEzEQhi0EomnhxhksJDiR4q-110eIWj4UCUFbDlwse3cMjpz11k5a9d_jJStV4gCH8YxGj9-x50XoGSWnjHLxdgPXjBB2ShtFHqAFbbhasno8RAtCRK0Fa47QcSkbQigjSj5GR5RxRakSC_T9G0S7C2kov8JYsIPdLcCA39tuBznYiC9ThGyHDvAabiAWbIcen6e8LTh5vErjCPlP70cYOhwGfJFCLE_QI29jgadzPkFX52eXq4_L9ZcPn1bv1ksrCSNLzb0jqnMEHNe27TvlQEPvbMd505PWSetlDw68BqGYZ173yvpWOm9l22h-gl4fdMecrvdQdmYbSgcx2gHSvhhGaCM1k_8FqZCiFZxW8OVf4Cbt81A_YahWglAuJ7U3B6jLqZQM3ow5bG2-M5SYyRUzu2ImVyr-fNbcuy309_BsQwVezYAtnY1-Wngo9xzXjFOlKqcP3G2IcPfPoebz2Vc2RW3Mj3hxuOttMvZnrvpXF3U_nFDdtFxw_hvn167T</recordid><startdate>200209</startdate><enddate>200209</enddate><creator>Saeki, K</creator><creator>Kunito, T</creator><creator>Oyaizu, H</creator><creator>Matsumoto, S</creator><general>American Society of Agronomy, Crop Science Society of America, Soil Science Society</general><general>Crop Science Society of America</general><general>American Society of Agronomy</general><scope>FBQ</scope><scope>IQODW</scope><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>3V.</scope><scope>7ST</scope><scope>7T7</scope><scope>7TG</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KL.</scope><scope>L6V</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P64</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>SOI</scope><scope>7QL</scope><scope>7TV</scope></search><sort><creationdate>200209</creationdate><title>Relationships between Bacterial Tolerance Levels and Forms of Copper and Zinc in Soils</title><author>Saeki, K ; Kunito, T ; Oyaizu, H ; Matsumoto, S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a6020-93fb07cb0eb39a8dc7be9edbac335d08b6af6debef9e472f2f9d7af86bfa68593</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Adaptation, Physiological</topic><topic>Animal, plant and microbial ecology</topic><topic>Applied ecology</topic><topic>Bacteria</topic><topic>Biological and medical sciences</topic><topic>Calcium chloride</topic><topic>Copper</topic><topic>Copper - adverse effects</topic><topic>Copper - pharmacology</topic><topic>Correlation coefficient</topic><topic>Ecotoxicology, biological effects of pollution</topic><topic>Fundamental and applied biological sciences. 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The IC50 values had no relationship with the total concentrations of Zn and Cu in the soils, but were weakly correlated with the 0.05 M CaCl2–extractable form of each metal in the soils (Cu: R 2 = 0.670, p < 0.01; Zn: R 2 = 0.453, p < 0.05). It was found that the IC50 correlated strongly with the total concentration of each metal in the extracts from water-saturated soil samples, described below as “soil solution” (Cu: R 2 = 0.789, p < 0.01; Zn: R 2 = 0.617, p < 0.01). The speciation of these metals in the soil solutions was estimated using an equilibrium thermodynamic computer model, SOILCHEM. Simulated free Cu ion ranged from 18 to 98% of total Cu, and organic complexes of Cu ranged from <1 to 56%. In all samples, Zn existing as the free ion was estimated to be more than 80% of total Zn in the soil solutions. The IC50 values were also correlated with the estimated free metal ion activities, but with slightly lower correlation coefficients than found for total concentration in the soil solutions (Cu: R 2 = 0.735, p < 0.01; Zn: R 2 = 0.610, p < 0.01). The results suggest that not only high metal ion activities, but also total dissolved metal concentrations in soil solutions may affect the bacterial community.]]></abstract><cop>Madison</cop><pub>American Society of Agronomy, Crop Science Society of America, Soil Science Society</pub><pmid>12371174</pmid><doi>10.2134/jeq2002.1570</doi><tpages>6</tpages></addata></record> |
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subjects | Adaptation, Physiological Animal, plant and microbial ecology Applied ecology Bacteria Biological and medical sciences Calcium chloride Copper Copper - adverse effects Copper - pharmacology Correlation coefficient Ecotoxicology, biological effects of pollution Fundamental and applied biological sciences. Psychology Heavy metals Metal concentrations Metal ions Microbial ecology Saturated soils Soil Soil Microbiology Soil Pollutants - adverse effects Soil Pollutants - pharmacology Soil solution Solubility Speciation Terrestrial environment, soil, air Zinc Zinc - adverse effects Zinc - pharmacology |
title | Relationships between Bacterial Tolerance Levels and Forms of Copper and Zinc in Soils |
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