文献类型： 外文期刊

作者： Li, Tong ¹ ; Liu, Shengli ¹ ; Shi, Yongqiang ² ; Zhao, Junjie ² ; Li, Wei ¹ ; Zhao, Deqiang ⁴ ; Liu, Yihong ⁵ ; Shi, Yu ⁶ ; Kuzyakov, Yakov ⁷ ; Ma, Xiongfeng ¹ ;

作者机构： 1.Zhengzhou Univ, Sch Agr Sci, Natl Key Lab Cotton Biobreeding & Integrated Utili, Zhengzhou Res Base, Zhengzhou 450001, Peoples R China

2.Chinese Acad Agr Sci, Inst Cotton Res, Natl Key Lab Cotton Biobreeding & Integrated Utili, Anyang 455000, Peoples R China

3.Chinese Acad Agr Sci, Western Agr Res Ctr, Changji 831100, Peoples R China

4.China Agr Univ, Coll Agron & Biotechnol, Beijing 100193, Peoples R China

5.Zhejiang A&F Univ, Coll Environm & Resources, Coll Carbon Neutral, State Key Lab Subtrop Silviculture, Hangzhou 311300, Peoples R China

6.Henan Univ, Sch Life Sci, State Key Lab Crop Stress Adaptat & Improvement, Kaifeng 475001, Peoples R China

7.Univ Gottingen, Dept Soil Sci Temperate Ecosyst, Dept Agr Soil Sci, D-37077 Gottingen, Germany

8.Peoples Friendship Univ Russia, Moscow 117198, Russia

9.Kazan Fed Univ, Inst Environm Sci, Kazan 420049, Russia

关键词： Cotton; Diversity; Ecosystem multifunctionality; Rhizosphere microbial community

期刊名称：CATENA （ 影响因子：5.7； 五年影响因子：6.3 ）

ISSN： 0341-8162

年卷期： 2025 年 251 卷

页码：

收录情况： SCI

摘要： Ecosystem multifunctionality (EMF) is influenced by rhizosphere microorganisms, and understanding how they regulate EMF has been an intriguing process to date. Here, amplicon sequencing was employed to investigate the diversity, assembly processes, and co-occurrence networks of rhizosphere bacteria and fungi in the topsoil (0-20 cm) across eight cotton ecosystems on both sides of the Tianshan Mountains in Xinjiang. Multifunctionality indicators were calculated based on soil properties and cotton attributes. The results indicated that rhizosphere microorganisms exhibited distinct clustering patterns between the northern and southern regions, where bacterial alpha-diversity was lower in the northern region than in the southern region, while this trend was reversed for fungi. Soil total potassium, carbon-to-nitrogen ratio, and urease activity primarily regulated bacterial diversity, while pH and electrical conductivity predominantly influenced fungal diversity. Deterministic and stochastic processes dominated bacterial and fungal community assembly, respectively; the proportions of dispersal limitation were larger in the southern region than in the northern region, while the proportions of homogeneous selection were reversed. The complexity and stability of microbial co-occurrence networks were higher in the southern region than in the northern region, with higher average degree (bacteria: north/south, 19.231/29.399; fungi: north/south, 4.969/24.585) and network density (bacteria: north/south, 0.015/0.020; fungi: north/south, 0.019/0.072), and lower modularity (bacteria: north/south, 0.700/0.669; fungi: north/south, 0.732/0.567). In addition, climatic conditions were the primary factors directly affecting multifunctionality indicators, and rhizosphere bacterial diversity influenced EMF by positively regulating SMF and cotton growth characteristics. Collectively, our findings carry important ecological implications for sustaining ecosystem service functions and elucidating the relationships between the functional diversity of rhizosphere microorganisms and EMF under multifaceted environmental interactions.