| 于方明,林秋娟,韦嘉裕,李宋颖,唐炽健,唐舒婷,李艺.泗顶矿区植物根际和非根际土壤反硝化细菌群落特征[J].农业环境科学学报,2023,42(11):2494-2506. |
| 泗顶矿区植物根际和非根际土壤反硝化细菌群落特征 |
| Community characteristics of denitrifiers from rhizosphere and bulk soil of plants in the Siding mine area,China |
| 投稿时间：2023-02-06 |
| DOI：10.11654/jaes.2023-0077 |
| 中文关键词: 矿区 反硝化细菌 nirS基因丰度 nirK基因丰度 群落结构 |
| 英文关键词: mine area denitrifier nirS gene abundance nirK gene abundance community structure |
| 基金项目:国家自然科学基金项目(41967019,41907096)；广西自然科学基金项目(2021GXNSFAA220024)；南通市基础科学研究计划项目(JC2021160) |
|
| 摘要点击次数: 526 |
| 全文下载次数: 493 |
| 中文摘要: |
| 为了探讨植物种类和土壤性质如何影响重金属污染严重矿区的土壤反硝化过程,本研究以广西柳州泗顶铅锌矿区上游、尾矿和下游3个区域优势植物——蜈蚣草、芦苇和五节芒的根际和非根际土壤为研究对象,采用高通量测序技术和荧光定量PCR技术,分析了3种优势植物根际和非根际土壤中nirK型和nirS型反硝化细菌的群落结构、丰度和多样性特征。结果表明:罗河杆菌属(nirS型)和慢生根瘤菌属(nirK型)为根际和非根际土壤中的优势菌属,所占比例分别为2.6%~67.8%和4.1%~38.1%。尾矿区根际及非根际土壤中nirS和nirK基因的丰度范围分别为1.45×106~7.78×106基因拷贝数·g-1(以干土计)和1.10×106~5.70×106基因拷贝数·g-1,显著低于上游区和下游区(P<0.05)。3种优势植物根际土壤的Shannon指数和ACE指数均大于非根际土壤。多元线性回归分析和Mantel检验表明,土壤含水率、总碳、总氮和总磷含量是影响泗顶矿区3种优势植物根际和非根际反硝化细菌群落组成的主要因素。研究表明,植物种类和土壤性质共同影响了矿区土壤的反硝化过程,并对反硝化微生物的丰度、群落结构和多样性产生了影响。 |
| 英文摘要: |
| The effects of plant species and soil properties on soil denitrification was explored in three areas of the Siding lead-zinc mining region. The microbial diversity and community compositions of nirK-type and nirS-type denitrifiers in rhizosphere and bulk soils from three dominant plant species (Pteris vittata L., Phragmites australis, and Miscanthus floridulus) were analyzed. Rhodanobacter (nirS) and Bradyrhizobium (nirK) dominated the soil denitrifier communities, with abundances ranging from 2.6% to 67.8% and from 4.1% to 38.1%, respectively. The nirS and nirK gene abundances in the mine tailing area ranged from 1.45×106 to 7.78×106 gene copies·g-1 (calculated by dry weight) and from 1.10×106 to 5.70×106 gene copies·g-1, respectively, which were significantly lower than the corresponding values in the upstream and downstream areas (P<0.05). The Shannon and ACE index values from the rhizosphere samples of the three dominant plant species were higher than the index values recorded from the bulk soil samples. Multiple linear regression analysis and the Mantel test showed that soil moisture content, total carbon, total nitrogen and total phosphorus were key factors that strongly influenced the soil denitrifier community. The results indicate that plant species and soil properties impact the soil denitrification process in mine areas and also affect the abundance, composition, and diversity of the denitrifier community. |
| HTML
查看全文
查看/发表评论 下载PDF阅读器 |
|
|
|
