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本文引用的文献

1
Effectiveness of applying arsenate reducing bacteria to enhance arsenic removal from polluted soils by Pteris vittata L.应用亚砷酸盐还原菌增强蜈蚣草去除污染土壤中砷的效果
Int J Phytoremediation. 2012 Jan;14(1):89-99. doi: 10.1080/15226510903567471.
2
GeoChip 3.0 as a high-throughput tool for analyzing microbial community composition, structure and functional activity.GeoChip 3.0 作为一种高通量工具,用于分析微生物群落组成、结构和功能活性。
ISME J. 2010 Sep;4(9):1167-79. doi: 10.1038/ismej.2010.46. Epub 2010 Apr 29.
3
Development of a common oligonucleotide reference standard for microarray data normalization and comparison across different microbial communities.开发一种通用寡核苷酸参考标准,用于微阵列数据标准化,并比较不同微生物群落之间的差异。
Appl Environ Microbiol. 2010 Feb;76(4):1088-94. doi: 10.1128/AEM.02749-09. Epub 2009 Dec 28.
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The microbial arsenic cycle in Mono Lake, California.加利福尼亚州莫诺湖的微生物砷循环。
FEMS Microbiol Ecol. 2004 Apr 1;48(1):15-27. doi: 10.1016/j.femsec.2003.12.016.
5
Analysis of microbial community functional diversity using sole-carbon-source utilisation profiles - a critique.利用单一碳源利用谱分析微生物群落功能多样性——批判。
FEMS Microbiol Ecol. 2002 Oct 1;42(1):1-14. doi: 10.1111/j.1574-6941.2002.tb00990.x.
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GeoChip-based analysis of functional microbial communities during the reoxidation of a bioreduced uranium-contaminated aquifer.基于GeoChip对生物还原铀污染含水层再氧化过程中功能微生物群落的分析。
Environ Microbiol. 2009 Oct;11(10):2611-26. doi: 10.1111/j.1462-2920.2009.01986.x. Epub 2009 Jul 14.
7
Functional gene array-based analysis of microbial community structure in groundwaters with a gradient of contaminant levels.基于功能基因阵列的不同污染水平梯度地下水中微生物群落结构分析。
Environ Sci Technol. 2009 May 15;43(10):3529-34. doi: 10.1021/es803423p.
8
Genes involved in arsenic transformation and resistance associated with different levels of arsenic-contaminated soils.与不同程度砷污染土壤相关的参与砷转化和抗性的基因。
BMC Microbiol. 2009 Jan 8;9:4. doi: 10.1186/1471-2180-9-4.
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Arsenic round the world: a review.砷的世界分布:综述。
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10
Microarray-based characterization of microbial community functional structure and heterogeneity in marine sediments from the Gulf of Mexico.基于微阵列的墨西哥湾海洋沉积物中微生物群落功能结构与异质性特征分析
Appl Environ Microbiol. 2008 Jul;74(14):4516-29. doi: 10.1128/AEM.02751-07. Epub 2008 May 30.

与土壤砷污染和砷超富集植物蜈蚣草根际相关的微生物群落和功能基因

Microbial communities and functional genes associated with soil arsenic contamination and the rhizosphere of the arsenic-hyperaccumulating plant Pteris vittata L.

机构信息

State Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.

出版信息

Appl Environ Microbiol. 2010 Nov;76(21):7277-84. doi: 10.1128/AEM.00500-10. Epub 2010 Sep 10.

DOI:10.1128/AEM.00500-10
PMID:20833780
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2976218/
Abstract

To understand how microbial communities and functional genes respond to arsenic contamination in the rhizosphere of Pteris vittata, five soil samples with different arsenic contamination levels were collected from the rhizosphere of P. vittata and nonrhizosphere areas and investigated by Biolog, geochemical, and functional gene microarray (GeoChip 3.0) analyses. Biolog analysis revealed that the uncontaminated soil harbored the greatest diversity of sole-carbon utilization abilities and that arsenic contamination decreased the metabolic diversity, while rhizosphere soils had higher metabolic diversities than did the nonrhizosphere soils. GeoChip 3.0 analysis showed low proportions of overlapping genes across the five soil samples (16.52% to 45.75%). The uncontaminated soil had a higher heterogeneity and more unique genes (48.09%) than did the arsenic-contaminated soils. Arsenic resistance, sulfur reduction, phosphorus utilization, and denitrification genes were remarkably distinct between P. vittata rhizosphere and nonrhizosphere soils, which provides evidence for a strong linkage among the level of arsenic contamination, the rhizosphere, and the functional gene distribution. Canonical correspondence analysis (CCA) revealed that arsenic is the main driver in reducing the soil functional gene diversity; however, organic matter and phosphorus also have significant effects on the soil microbial community structure. The results implied that rhizobacteria play an important role during soil arsenic uptake and hyperaccumulation processes of P. vittata.

摘要

为了了解微生物群落和功能基因如何响应蜈蚣草根际砷污染,从蜈蚣草根际和非根际区域采集了五个砷污染程度不同的土壤样本,并通过 Biolog、地球化学和功能基因微阵列(GeoChip 3.0)分析进行了研究。Biolog 分析表明,无污染土壤具有最大的单一碳利用能力多样性,而砷污染降低了代谢多样性,而根际土壤的代谢多样性高于非根际土壤。GeoChip 3.0 分析表明,五个土壤样本之间的重叠基因比例较低(16.52%至 45.75%)。无污染土壤的异质性和独特基因(48.09%)高于砷污染土壤。砷抗性、硫还原、磷利用和反硝化基因在蜈蚣草根际和非根际土壤之间存在显著差异,这为砷污染水平、根际和功能基因分布之间的紧密联系提供了证据。典范对应分析(CCA)表明,砷是降低土壤功能基因多样性的主要驱动因素;然而,有机物和磷对土壤微生物群落结构也有显著影响。结果表明,根际细菌在蜈蚣草吸收土壤砷和超积累过程中发挥着重要作用。