Article(id=1314917780210672528, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917567911788907, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1739462400000, receivedDateStr=2025-02-14, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430428792, onlineDateStr=2026-10-08, pubDate=1758297600000, pubDateStr=2025-09-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430428792, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430428792, creator=13701087609, updateTime=1791430428792, updator=13701087609, issue=Issue{id=1314917567911788907, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='9', pageStart='4737', pageEnd='5328', issueExtLink='null', onlineDate='null', pubDate='1758297600000', pubDateStr='2025-09-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430378177, creator='13701087609', updateTime=1791431890195, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314923910001418489, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917567911788907, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314923910001418490, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917567911788907, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=5035, endPage=5047, ext={EN=ArticleExt(id=1314917780407804817, articleId=1314917780210672528, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Study on the differential responses of bacterial community in antimony tailings to environmental variables, columnId=1234106389669409584, journalTitle=China Environmental Science, columnName=Soil Pollution Control, runingTitle=null, highlight=null, articleAbstract=

Representative Sb tailings from the northwest and southwest regions were selected to investigate the migration characteristics of Sb and arsenic (As), as well as changes in microbial community under both covered and exposed conditions. The results showed that the total concentrations of Sb-As in the Qinglong tailings were significantly higher than those in the Xihe soil-covered tailings, with Sb levels being 21.90~29.35 times higher and As levels 20.23~39.26 times higher. The index of Geo-accumulation (Igeo) and the Ratio of secondary phase to primary phase (RSP) indicated that the Qinglong tailings Sb-As contamination index was greater than 3, which belongs to severe contamination, the exposure of Sb-As thus poses a considerable threat to the soil environment. In contrast, the Igeo index for Sb-As in the Xihe soil-covered tailings were both <3, and RSP values was <2, indicating a relatively low level of contamination. Using the Wenzel sequential extraction method, the distribution of Sb-As fractions was found to follow the order: amorphous iron-aluminum oxide-bound fraction (F3)>residual fraction (F5)>crystalline iron-aluminum oxide-bound fraction (F4)>specifically adsorbed fraction (F2)>non-specifically adsorbed fraction (F1). F3 accounted for 36.91% and 37.00% of the total Sb-As contents, respectively. The bioavailable forms of Sb [Sb(Bio)] and As [As (Bio)] were significantly higher in the Qinglong tailings than in the Xihe soil-covered tailings. In Qinglong, Sb-As primarily occurred in the F3fraction, whereas in Xihe, they were mainly associated with the F5fraction. Principal coordinates analysis(PCoA) revealed that bacterial community structure varied across different environmental media. The dominant bacterial phyla in the Qinglong tailings were Chloroflexi and Firmicutes, with Kaistobacter, Pseudomonas, and Rhodoplanes as the predominant genera. In the Xihe soil-covered tailings, Gemmatimonadetes and Bacteroidetes were significant components, and Thiobacillus, Kaistobacter, and Sphingomonas were the dominant genera. Thiobacillus, Pseudomonas, Bacillus, Geobacter, and Sphingomonas were identified as key bacterial taxa enriched in long-term Sb-As contaminated environments, indicating their potential for application in in-situ ecological restoration of Sb tailings. The functional prediction using PICRUSt2 and Partial least squares discriminant analysis(PLS-DA)suggested that bacterial functional changes were primarily characterized by the enrichment of specific metabolic functions, accounting for approximately 40.66% of the total predicted functions. Spearman correlation analysis, Redundancy analysis (RDA), and Random forest (RF) analysis revealed that pH, soil organic matter (SOM), and water content (WAF) were the main drivers of bacterial community changes in the Xihe soil- covered tailings, while Sb-As concentrations and their chemical fractions were the main drivers of bacterial community structure and functional variation in the Qinglong tailings.

, authors=Qing-ying ZHAO1, 2, Zhao TAN3, Wen-jie LI1, Ze-min ZHANG1, Xiao GUAN1, *, Jin-hua LI2, authorsList=Qing-ying ZHAO, Zhao TAN, Wen-jie LI, Ze-min ZHANG, Xiao GUAN, Jin-hua LI, authorCompany=null, correspAuthors=Xiao GUAN, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314917781301191571, articleId=1314917780210672528, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=锑尾矿中细菌群落对环境变量的差异性响应研究, columnId=1234106394572550190, journalTitle=中国环境科学, columnName=土壤污染与控制, runingTitle=null, highlight=null, articleAbstract=

选择西北和西南两个地区具有代表性的Sb尾矿探究了覆土和裸露模式下Sb和砷(As)迁移特性及细菌群落变化.结果表明,晴隆尾矿中Sb-As全量显著高于西和覆土尾矿,Sb全量为21.90~29.35倍,As全量为20.23~39.26倍.地积累指数法(Igeo),次生相与原生相比值法(RSP)表明,晴隆尾矿中Sb-As的Igeo与RSP指数均大于3,属于偏重污染程度;西和覆土尾矿中Sb和As的Igeo指数均小于3,RSP指数均小于2,污染水平相对较低.Wenzel连续提取结果表明,整体Sb-As形态分布为无定型铁铝氧化物结合态(F3)>残渣态(F5)>晶质铁铝氧化物结合态(F4)>专性吸附态(F2)>非专性吸附态(F1);F3分别占Sb-As全量的36.91%和37.00%;晴隆尾矿中有效态Sb[Sb(Bio)]和有效态As [As(Bio)]显著高于西和覆土尾矿,而且Sb-As主要以F3赋存;西和覆土尾矿中Sb-As主要以F5赋存.主成分分析(PCoA)与相似性分析(ANOSIM)表明,不同环境介质中细菌群落结构具有异质性.晴隆尾矿的优势菌门包括Chloroflexi和Firmicutes,属水平上以Kaistobacter,Pseudomonas和Rhodoplanes为主,西和覆土尾矿中Gemmatimonadetes和Bacteroidetes为重要组成部分,属水平以Thiobacillus,Kaistobacter和Sphingomonas为主;Thiobacillus,Pseudomonas,Bacillus,Geobacter和Sphingomonas为长期Sb-As污染环境富集的关键细菌类群,有望应用于Sb尾矿的原位生态修复.PICRUSt2功能预测与偏最小二乘判别分析(PLS-DA)表明,细菌的功能类群变化主要表现为特定代谢功能的富集(约占40.66%).Spearman相关性,冗余分析(RDA)和随机森林(RF)分析表明,pH值,SOM和WAF是西和覆土尾矿细菌群落变化的主要驱动因素,Sb-As及其化学形态是晴隆尾矿细菌群落结构及功能变化的主要驱动因素.

, authors=赵清英1, 2, 谭昭3, 李文杰1, 张泽民1, 关潇1, *, 李金花2, authorsList=赵清英, 谭昭, 李文杰, 张泽民, 关潇, 李金花, authorCompany=null, correspAuthors=关潇, authorNote=

赵清英(1996-),女,青海海东人,硕士,主要研究方向为重金属污染防治与生态修复评估.发表论文6篇..

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* 责任作者,正高级工程师,
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赵清英(1996-),女,青海海东人,硕士,主要研究方向为重金属污染防治与生态修复评估.发表论文6篇..

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赵清英(1996-),女,青海海东人,硕士,主要研究方向为重金属污染防治与生态修复评估.发表论文6篇..

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锑尾矿中细菌群落对环境变量的差异性响应研究
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赵清英 1, 2 , 谭昭 3 , 李文杰 1 , 张泽民 1 , 关潇 1, * , 李金花 2
中国环境科学 | 土壤污染与控制 2025,45(9): 5035-5047
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中国环境科学 |土壤污染与控制 2025 , 45 (9) : 5035 -5047
锑尾矿中细菌群落对环境变量的差异性响应研究
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2.兰州大学生态学院,甘肃 兰州 730000, bio={"content":"

赵清英(1996-),女,青海海东人,硕士,主要研究方向为重金属污染防治与生态修复评估.发表论文6篇..

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赵清英(1996-),女,青海海东人,硕士,主要研究方向为重金属污染防治与生态修复评估.发表论文6篇..

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赵清英1, 2 , 谭昭3, 李文杰1, 张泽民1, 关潇1, * , 李金花2
作者信息
  • 1.中国环境科学研究院生态研究所,北京 100012
  • 2.兰州大学生态学院,甘肃 兰州 730000
  • 3.泰州市环境监测中心站,江苏 泰州 225300
通讯作者:
* 责任作者,正高级工程师,
作者简介:

赵清英(1996-),女,青海海东人,硕士,主要研究方向为重金属污染防治与生态修复评估.发表论文6篇..

Study on the differential responses of bacterial community in antimony tailings to environmental variables
Qing-ying ZHAO1, 2 , Zhao TAN3, Wen-jie LI1, Ze-min ZHANG1, Xiao GUAN1, * , Jin-hua LI2
Affiliations
  • 1.Institute of Ecology, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
  • 2.College of Ecology, Lanzhou University, Lanzhou 730000, China
  • 3.Taizhou Environmental Monitoring Central Station, Taizhou 225300, China
出版时间: 2025-09-20
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选择西北和西南两个地区具有代表性的Sb尾矿探究了覆土和裸露模式下Sb和砷(As)迁移特性及细菌群落变化.结果表明,晴隆尾矿中Sb-As全量显著高于西和覆土尾矿,Sb全量为21.90~29.35倍,As全量为20.23~39.26倍.地积累指数法(Igeo),次生相与原生相比值法(RSP)表明,晴隆尾矿中Sb-As的Igeo与RSP指数均大于3,属于偏重污染程度;西和覆土尾矿中Sb和As的Igeo指数均小于3,RSP指数均小于2,污染水平相对较低.Wenzel连续提取结果表明,整体Sb-As形态分布为无定型铁铝氧化物结合态(F3)>残渣态(F5)>晶质铁铝氧化物结合态(F4)>专性吸附态(F2)>非专性吸附态(F1);F3分别占Sb-As全量的36.91%和37.00%;晴隆尾矿中有效态Sb[Sb(Bio)]和有效态As [As(Bio)]显著高于西和覆土尾矿,而且Sb-As主要以F3赋存;西和覆土尾矿中Sb-As主要以F5赋存.主成分分析(PCoA)与相似性分析(ANOSIM)表明,不同环境介质中细菌群落结构具有异质性.晴隆尾矿的优势菌门包括Chloroflexi和Firmicutes,属水平上以Kaistobacter,Pseudomonas和Rhodoplanes为主,西和覆土尾矿中Gemmatimonadetes和Bacteroidetes为重要组成部分,属水平以Thiobacillus,Kaistobacter和Sphingomonas为主;Thiobacillus,Pseudomonas,Bacillus,Geobacter和Sphingomonas为长期Sb-As污染环境富集的关键细菌类群,有望应用于Sb尾矿的原位生态修复.PICRUSt2功能预测与偏最小二乘判别分析(PLS-DA)表明,细菌的功能类群变化主要表现为特定代谢功能的富集(约占40.66%).Spearman相关性,冗余分析(RDA)和随机森林(RF)分析表明,pH值,SOM和WAF是西和覆土尾矿细菌群落变化的主要驱动因素,Sb-As及其化学形态是晴隆尾矿细菌群落结构及功能变化的主要驱动因素.

锑砷共污染  /  化学形态  /  细菌群落分析  /  功能预测

Representative Sb tailings from the northwest and southwest regions were selected to investigate the migration characteristics of Sb and arsenic (As), as well as changes in microbial community under both covered and exposed conditions. The results showed that the total concentrations of Sb-As in the Qinglong tailings were significantly higher than those in the Xihe soil-covered tailings, with Sb levels being 21.90~29.35 times higher and As levels 20.23~39.26 times higher. The index of Geo-accumulation (Igeo) and the Ratio of secondary phase to primary phase (RSP) indicated that the Qinglong tailings Sb-As contamination index was greater than 3, which belongs to severe contamination, the exposure of Sb-As thus poses a considerable threat to the soil environment. In contrast, the Igeo index for Sb-As in the Xihe soil-covered tailings were both <3, and RSP values was <2, indicating a relatively low level of contamination. Using the Wenzel sequential extraction method, the distribution of Sb-As fractions was found to follow the order: amorphous iron-aluminum oxide-bound fraction (F3)>residual fraction (F5)>crystalline iron-aluminum oxide-bound fraction (F4)>specifically adsorbed fraction (F2)>non-specifically adsorbed fraction (F1). F3 accounted for 36.91% and 37.00% of the total Sb-As contents, respectively. The bioavailable forms of Sb [Sb(Bio)] and As [As (Bio)] were significantly higher in the Qinglong tailings than in the Xihe soil-covered tailings. In Qinglong, Sb-As primarily occurred in the F3fraction, whereas in Xihe, they were mainly associated with the F5fraction. Principal coordinates analysis(PCoA) revealed that bacterial community structure varied across different environmental media. The dominant bacterial phyla in the Qinglong tailings were Chloroflexi and Firmicutes, with Kaistobacter, Pseudomonas, and Rhodoplanes as the predominant genera. In the Xihe soil-covered tailings, Gemmatimonadetes and Bacteroidetes were significant components, and Thiobacillus, Kaistobacter, and Sphingomonas were the dominant genera. Thiobacillus, Pseudomonas, Bacillus, Geobacter, and Sphingomonas were identified as key bacterial taxa enriched in long-term Sb-As contaminated environments, indicating their potential for application in in-situ ecological restoration of Sb tailings. The functional prediction using PICRUSt2 and Partial least squares discriminant analysis(PLS-DA)suggested that bacterial functional changes were primarily characterized by the enrichment of specific metabolic functions, accounting for approximately 40.66% of the total predicted functions. Spearman correlation analysis, Redundancy analysis (RDA), and Random forest (RF) analysis revealed that pH, soil organic matter (SOM), and water content (WAF) were the main drivers of bacterial community changes in the Xihe soil- covered tailings, while Sb-As concentrations and their chemical fractions were the main drivers of bacterial community structure and functional variation in the Qinglong tailings.

atimony and arsenic co-contamination  /  geochemical fractions  /  bacterial community analysis  /  function prediction
赵清英, 谭昭, 李文杰, 张泽民, 关潇, 李金花. 锑尾矿中细菌群落对环境变量的差异性响应研究. 中国环境科学, 2025 , 45 (9) : 5035 -5047 .
Qing-ying ZHAO, Zhao TAN, Wen-jie LI, Ze-min ZHANG, Xiao GUAN, Jin-hua LI. Study on the differential responses of bacterial community in antimony tailings to environmental variables[J]. China Environmental Science, 2025 , 45 (9) : 5035 -5047 .
  • 国家重点研发计划项目(2020YFC1807704)
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2025年第45卷第9期
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  • 接收时间:2025-02-14
  • 首发时间:2026-10-08
  • 出版时间:2025-09-20
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  • 收稿日期:2025-02-14
基金
国家重点研发计划项目(2020YFC1807704)
作者信息
    1.中国环境科学研究院生态研究所,北京 100012
    2.兰州大学生态学院,甘肃 兰州 730000
    3.泰州市环境监测中心站,江苏 泰州 225300

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* 责任作者,正高级工程师,
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2种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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