Suppr超能文献

宏基因组分析揭示了低砷含量稻田中微生物砷代谢基因的高度多样性。

Metagenomic analysis revealed highly diverse microbial arsenic metabolism genes in paddy soils with low-arsenic contents.

机构信息

State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 18 Shuangqing Road, Beijing, 100085, China; University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing, 100049, China.

Environmental Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China.

出版信息

Environ Pollut. 2016 Apr;211:1-8. doi: 10.1016/j.envpol.2015.12.023. Epub 2015 Dec 29.

Abstract

Microbe-mediated arsenic (As) metabolism plays a critical role in global As cycle, and As metabolism involves different types of genes encoding proteins facilitating its biotransformation and transportation processes. Here, we used metagenomic analysis based on high-throughput sequencing and constructed As metabolism protein databases to analyze As metabolism genes in five paddy soils with low-As contents. The results showed that highly diverse As metabolism genes were present in these paddy soils, with varied abundances and distribution for different types and subtypes of these genes. Arsenate reduction genes (ars) dominated in all soil samples, and significant correlation existed between the abundance of arr (arsenate respiration), aio (arsenite oxidation), and arsM (arsenite methylation) genes, indicating the co-existence and close-relation of different As resistance systems of microbes in wetland environments similar to these paddy soils after long-term evolution. Among all soil parameters, pH was an important factor controlling the distribution of As metabolism gene in five paddy soils (p = 0.018). To the best of our knowledge, this is the first study using high-throughput sequencing and metagenomics approach in characterizing As metabolism genes in the five paddy soil, showing their great potential in As biotransformation, and therefore in mitigating arsenic risk to humans.

摘要

微生物介导的砷(As)代谢在全球 As 循环中起着关键作用,As 代谢涉及不同类型的基因,这些基因编码促进其生物转化和运输过程的蛋白质。在这里,我们使用基于高通量测序的宏基因组分析构建了 As 代谢蛋白数据库,以分析五种低 As 含量稻田土壤中的 As 代谢基因。结果表明,这些稻田土壤中存在高度多样化的 As 代谢基因,不同类型和亚型的基因丰度和分布存在差异。砷酸盐还原基因(ars)在所有土壤样品中均占主导地位,arr(砷酸盐呼吸)、aio(亚砷酸盐氧化)和 arsM(亚砷酸盐甲基化)基因的丰度之间存在显著相关性,表明在长期进化后,类似于这些稻田土壤的湿地环境中,不同微生物 As 抗性系统的共存和密切关系。在所有土壤参数中,pH 是控制五种稻田土壤中 As 代谢基因分布的重要因素(p = 0.018)。据我们所知,这是首次使用高通量测序和宏基因组学方法在五种稻田土壤中表征 As 代谢基因的研究,这表明它们在 As 生物转化方面具有巨大的潜力,从而降低了人类砷风险。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验