The characteristics of soil microbial co-occurrence networks across a high-latitude forested wetland ecotone in China

Frontiers in Microbiology

Microbiology

Qi Chi¹  Mu Peng¹  Caihong Zhao¹  Minmin Huang²  Qiang Zhang²  Hui Bai³  Fei Gao⁴  Yaping Dai⁴  Ben Niu⁵  Di Wu⁵ 

[1] College of Life Science, Northeast Forestry University, Harbin, China;Institute of Economic Forest of Xinjiang Academy of Forestry Sciences, Urumqi, China;Key Laboratory of Fast-Growing Tree Cultivating of Heilongjiang Province, Forestry Science Research Institute of Heilongjiang Province, Harbin, China;State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, China;College of Life Science, Northeast Forestry University, Harbin, China;State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, China;The Center for Basic Forestry Research, College of Forestry, Northeast Forestry University, Harbin, China;College of Life Science, Northeast Forestry University, Harbin, China;

关键词: forested wetland;    fungal and bacterial community;    co-occurrence patterns;    seasonal change;    vegetation type;   

DOI  :  10.3389/fmicb.2023.1160683

 received in 2023-02-07, accepted in 2023-03-02,  发布年份 2023

来源: Frontiers

【 摘 要 】

To understand the effect of seasonal variations on soil microbial communities in a forested wetland ecotone, here, we investigated the dynamics of the diversities and functions of both soil bacterial and fungal communities inhabiting three wetland types (forested wetland, shrub wetland and herbaceous vegetation wetland) from forest-wetland ecotone of northern Xiaoxing’an Mountains spanning different seasons. β-diversity of soil microbial communities varied significantly among different vegetation types (Betula platyphylla–Larix gmelinii, Alnus sibirica, Betula ovalifolia, and Carex schmidtii wetlands). We totally detected 34 fungal and 14 bacterial indicator taxa among distinctive groups by using Linear discriminant analysis effect size (LEfSe) analysis, and identified nine network hubs as the most important nodes detected in whole fungi, bacteria, and fungi–bacteria networks. At the vegetation type-level, bacterial and fungal microbiome living in C. schmidtii wetland soil possessed fewer positive interactions and lower modularity than those in other types of wetland soil. Furthermore, we also discovered that ectomycorrhizal fungi were dominant in the fungal microbiota existing in forested and shrub wetland soils, whereas arbuscular mycorrhizal fungi were predominated in those residing in herbaceous vegetation wetland soil. The distribution of the predicted bacterial functional enzymes also obviously varied among different vegetation-types. In addition, the correlation analysis further revealed that the key fungal network modules were significantly affected by the contents of total N and soil water-soluble K, whereas most of the bacterial network modules were remarkably positively driven by the contents of total N, soil water-soluble K, Mg and Na. Our study suggested that vegetation type are substantive factors controlling the diversity, composition and functional group of soil microbiomes from forest-wetland ecotone of northern Xiaoxing’an Mountains.

【 授权许可】

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Copyright © 2023 Wu, Bai, Zhao, Peng, Chi, Dai, Gao, Zhang, Huang and Niu.