| 基于高通量测序和代谢组学解析重金属污染对农田微生物群落组成和功能的影响 |
| 摘要点击 5365 全文点击 618 投稿时间：2021-10-06 修订日期：2022-01-04 |
| 查看HTML全文
查看全文 查看/发表评论 下载PDF阅读器 |
| 中文关键词 新乡市 重金属污染 微生物群落和功能 高通量测序 代谢组学 |
| 英文关键词 Xinxiang City heavy metal contamination microbial community and function high-throughput sequencing non-targeted metabolomic |
| 作者 | 单位 | E-mail | | 庞发虎 | 南阳师范学院水资源与环境工程学院, 南水北调中线水源区水安全河南省协同创新中心, 河南省南水北调中线水源区流域生态安全国际联合实验室, 南阳 473061
南阳师范学院生命科学与农业工程学院, 南阳 473061 | pangfahu@163.com | | 李晓琦 | 南阳师范学院生命科学与农业工程学院, 南阳 473061 | | | 段莉阳 | 南阳师范学院生命科学与农业工程学院, 南阳 473061 | | | 陈彦 | 南阳师范学院生命科学与农业工程学院, 南阳 473061 | | | 姬明飞 | 南阳师范学院水资源与环境工程学院, 南水北调中线水源区水安全河南省协同创新中心, 河南省南水北调中线水源区流域生态安全国际联合实验室, 南阳 473061 | | | 张浩 | 南阳师范学院水资源与环境工程学院, 南水北调中线水源区水安全河南省协同创新中心, 河南省南水北调中线水源区流域生态安全国际联合实验室, 南阳 473061
南阳师范学院生命科学与农业工程学院, 南阳 473061 | | | 韩辉 | 南阳师范学院水资源与环境工程学院, 南水北调中线水源区水安全河南省协同创新中心, 河南省南水北调中线水源区流域生态安全国际联合实验室, 南阳 473061
南阳师范学院生命科学与农业工程学院, 南阳 473061 | | | 陈兆进 | 南阳师范学院水资源与环境工程学院, 南水北调中线水源区水安全河南省协同创新中心, 河南省南水北调中线水源区流域生态安全国际联合实验室, 南阳 473061 | zhaojin_chen@163.com |
|
| 中文摘要 |
| 重金属污染会影响微生物组成和群落结构，其与微生物的相互关系一直是重金属污染生态学研究的热点.河南省新乡市是中国著名的电池生产城市，因电池生产废水污灌造成严重的土壤重金属污染.目前有关新乡市长期灌溉电池废水造成的重金属污染对微生物群落组成和代谢功能的影响鲜见报道.采集了新乡市某长期生产电池厂旁3个重金属污染位点，重金属含量测定表明Cd和Pb超过相关标准，分别超标34~66倍和1.5~2.32倍.采用高通量测序分析了细菌和真菌群落组成，结果表明细菌由芽孢杆菌属、节杆菌属、鞘氨醇单胞菌属和类诺卡氏菌属等优势属，真菌由油壶菌属、小不整球壳属、Gibellulopsis和被孢霉属等优势属组成，表明经过长期的重金属胁迫，新乡长期重金属污染土壤富含重金属抗性细菌和真菌.环境因子和微生物群落相关性分析表明，总量Cu、DTPA提取态Cu和水溶态Pb显著影响细菌群落组成，总量Cd、Ni、Pb、Zn、DTPA提取态Cu和水溶态Pb显著影响真菌群落组成.目前，关于重金属污染对微生物群落代谢影响的研究较少，采用非靶向代谢组学分析表明，不同位点间代谢产物具有差异.通路富集分析表明，这些差异代谢物涉及代谢过程、环境信息处理和翻译等遗传信息加工等，在微生物缓解重金属导致的胁迫和环境适应中可能起到作用. |
| 英文摘要 |
| Heavy metal contamination affects microbial composition and diversity. The interaction between heavy metal contamination and soil microorganisms has been a hot topic in ecological research. Battery manufacturing has been going on for over six decades in Xinxiang City, resulting in severe soil heavy metal contamination due to battery wastewater runoff. Few studies have investigated the effect of heavy metal contamination due to long-term battery wastewater runoff on microbial diversity and metabolomics in Xinxiang City. In this study, we collected samples from three heavy metal contaminated sites in Xinxiang City and found that Cd and Pb exceeded the recommended thresholds by 34-66 fold and 1.5-2.32 fold, respectively. High-throughput sequencing showed that Bacillus, Arthrobacter, Sphingomonas, and Streptomyces were the dominant bacteria genera, while Olpidium, Plectosphaerella, and Gibellulopsis were the dominant fungi genera, indicating that heavy metal contaminated soil in Xinxiang City was rich in heavy metal tolerant bacteria and fungi due to the long-term heavy metal stress. Correlation analysis showed that total Cu, DTPA extract Cu, and water soluble Pb were significant factors in bacterial diversity, while total Cd, total Ni, total Pb, total Zn, DTPA extract Cu, and water soluble Pb were significant factors in fungal diversity. To better understand the effect of heavy metal contamination on the metabolism of soil microorganisms, we conducted non-targeted metabolomic profiling, which showed significant differences in metabolites across the samples. Pathway enrichment analysis showed that these differential metabolites were involved in pathways such as metabolism, environmental information processing, and genetic Information Processing, which may play a role in heavy metal stress mitigation and environmental adaptation. |
|
|
|
