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确定微生物群落复杂性对沙漠生态系统肥沃岛屿土壤养分异质性的贡献。

Determining the contribution of microbiome complexity to the soil nutrient heterogeneity of fertile islands in a desert ecosystem.

机构信息

State Key Laboratory of Crop Stress Biology in Arid Areas, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China.

State Key Laboratory of Crop Stress Biology in Arid Areas, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China.

出版信息

Sci Total Environ. 2023 Jan 20;857(Pt 1):159355. doi: 10.1016/j.scitotenv.2022.159355. Epub 2022 Oct 12.

Abstract

"Fertile islands" are known as hotspots of soil nutrient spatial heterogeneity in dryland ecosystems. Although soil microorganisms play critical functional roles in nutrient capture and cycling within fertile islands, our understanding of polymicrobial community roles in regulating soil nutrient distribution in fertile islands remains limited. Herein, we aim to clarify the relationships between the complexity of soil microbial (bacterial, archaeal and fungal) communities and the nutrient distribution around fertile islands. Soil samples were collected along vertical profiles at varying depths in three patches under the canopy of Hedysarum scoparium (CENTRE), at the edge (EDGE) of the canopy and outside (OUTSIDE) the canopy in an area of flowing sand. All the three microbiota have showed spatial heterogeneity around the fertile islands. Among them, bacteria had the most significant heterogeneity, and bacterial community assembly was dominated by deterministic processes. Microbial interaction patterns also showed spatial heterogeneity among different patches. More interaction complexity within microbiota was found in the bacteria in the CENTRE patch and in the fungi in the OUTSIDE patch. In addition, the proportions of among-kingdom connections were reduced under the canopies. Bacteria had the highest connectivity and centrality in the polymicrobial networks and were the most important predictor of polymicrobial interaction complexity, which may have contributed to the distribution of soil nutrients. The random forest (RF) model provided evidence that bacterial beta-diversity and the polymicrobial network complexity index can be optimal predictors of the soil multinutrient cycling index. Our study highlighted the responses of bacteria and polymicrobial interactions to fertile islands and their importance in driving soil nutrient heterogeneity. This information will help in managing soil microorganisms to provide dryland ecosystem services.

摘要

“肥沃岛屿”被认为是旱地生态系统中土壤养分空间异质性的热点。尽管土壤微生物在肥沃岛屿内的养分捕获和循环中起着至关重要的功能作用,但我们对多微生物群落在调节肥沃岛屿土壤养分分布中的作用的理解仍然有限。在此,我们旨在阐明土壤微生物(细菌、古菌和真菌)群落的复杂性与肥沃岛屿周围养分分布之间的关系。在流动沙丘区,我们在沙柳(Hedysarum scoparium)树冠下的三个斑块(CENTRE)、树冠边缘(EDGE)和树冠外(OUTSIDE),沿着垂直剖面在不同深度采集土壤样本。所有三种微生物群落在肥沃岛屿周围都表现出空间异质性。其中,细菌的异质性最大,细菌群落组装主要由确定性过程主导。微生物相互作用模式在不同斑块之间也表现出空间异质性。在 CENTRE 斑块的细菌和 OUTSIDE 斑块的真菌中,微生物群内的相互作用复杂性更高。此外,在树冠下,种间连接的比例减少。在多微生物网络中,细菌具有最高的连通性和中心性,是多微生物相互作用复杂性的最重要预测因子,这可能有助于土壤养分的分布。随机森林(RF)模型提供的证据表明,细菌的β多样性和多微生物网络复杂性指数可以作为土壤多养分循环指数的最佳预测因子。我们的研究强调了细菌和多微生物相互作用对肥沃岛屿的响应及其在驱动土壤养分异质性方面的重要性。这些信息将有助于管理土壤微生物,以提供旱地生态系统服务。

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