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地理分布格局决定根际土壤微生物群落组装过程

Geographic Distribution Pattern Determines Soil Microbial Community Assembly Process in Rhizosphere Soil.

作者信息

Wang Mingyu, Xing Xiangyu, Zhang Youjia, Sui Xin, Zheng Chunying

机构信息

Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education & Heilongjiang Provincial Key Laboratory of Ecological Restoration and Resource Utilization for Cold Region & Heilongjiang Provincial Key Laboratory of Plant Genetic Engineering and Biological Fermentation Engineering for Cold Region & Key Laboratory of Microbiology, College of Heilongjiang Province & School of Life Sciences, Heilongjiang University, Harbin 150080, China.

出版信息

Microorganisms. 2024 Dec 4;12(12):2506. doi: 10.3390/microorganisms12122506.

Abstract

The geographic distribution patterns of soil microbial communities associated with cultivated plants in Northeast China were investigated. High-throughput sequencing revealed that the diversity and community assembly of bacterial and fungal communities in the inter-root soil varied significantly with geographic location. The study found that bacterial communities were predominantly assembled through stochastic processes at most sites, while fungal communities showed greater variation, with both stochastic and deterministic processes involved. The complexity of bacterial-fungal co-occurrence networks also varied with longitude and latitude, demonstrating both positive and negative interactions. PICRUSt 2.0 and FUNGuild were used to predict the potential functions of soil bacterial and fungal microbiota, respectively, during different land use patterns. The average taxonomic distinctness (AVD) index indicated varying degrees of community stability across sites. Key microbial taxa contributing to community variability were identified through Random Forest modeling, with and standing out among bacteria, and and among fungi. Soil chemical properties, including pH, TN, TP, EC, and SOC, significantly correlated with microbial diversity, composition, and co-occurrence networks. Structural equation modeling revealed that geographic distribution patterns directly and indirectly influenced soil chemical properties and microbial communities. Overall, the study provides insights into the geographic distribution patterns of soil microbial communities associated with and highlights the need for further research into the underlying mechanisms shaping these patterns.

摘要

对中国东北地区与栽培植物相关的土壤微生物群落的地理分布模式进行了调查。高通量测序表明,根际土壤中细菌和真菌群落的多样性和群落组装随地理位置的变化显著。研究发现,在大多数地点,细菌群落主要通过随机过程组装,而真菌群落表现出更大的变异性,涉及随机和确定性过程。细菌-真菌共现网络的复杂性也随经度和纬度而变化,显示出正负相互作用。分别使用PICRUSt 2.0和FUNGuild预测不同土地利用模式下土壤细菌和真菌微生物群的潜在功能。平均分类学离散度(AVD)指数表明各地点群落稳定性程度不同。通过随机森林建模确定了导致群落变异的关键微生物分类群,细菌中的[具体细菌分类群1]和[具体细菌分类群2]以及真菌中的[具体真菌分类群1]和[具体真菌分类群2]尤为突出。土壤化学性质,包括pH值、总氮、总磷、电导率和土壤有机碳,与微生物多样性、组成和共现网络显著相关。结构方程模型表明,地理分布模式直接和间接地影响土壤化学性质和微生物群落。总体而言,该研究为与[相关植物]相关的土壤微生物群落的地理分布模式提供了见解,并强调需要进一步研究形成这些模式的潜在机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0817/11728389/ec1f4c48ebd1/microorganisms-12-02506-g001.jpg

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