The assembly process and co-occurrence network of soil microbial community driven by cadmium in volcanic ecosystem

IF 12.4 Q1 ENVIRONMENTAL SCIENCES Resources Environment and Sustainability Pub Date : 2024-08-08 DOI:10.1016/j.resenv.2024.100164
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Abstract

Heavy metal (HM) contamination affects the composition and structure of soil microbial communities, but there are few studies on the assembly process and co-occurrence network of soil microbial community succession driven by Cd in volcanic ecosystem. To address this gap in knowledge, we collected and analyzed soil samples from the Nvshan Volcanic area to understand the microbial characteristics in primary succession soil (PS) and secondary succession soil (SS). We found that the soil was contaminated with different levels of Cd (PS > SS), resulting in obvious heterogeneity of microorganisms. The absolute abundance of bacteria (16S rRNA gene copies) varied significantly between the two successions (P < 0.0001). The co-occurrence networks analysis showed that the number of nodes in bacterial communities was lower in PS compared to SS (1002 vs. 1004), indicating that heavy metal contamination would reduce the number of soil microbial communities. Compared with PS, bacterial communities exhibited stronger competitiveness in SS (positive: negative, P/N: 25.69 vs. 64.22), whereas fungal communities were closer symbiotic relationships (positive/negative, P/N: 15.85 vs. 14.29). The neutral community model (NCM) analysis revealed that stochastic processes predominantly governed the microbial assembly process (bacterial R2: 0.657, fungal R2: 0.686). The Mantel test analysis revealed that Cd was negatively associated with cbbLR, amoA, and phoD. The results of the Sankey diagram showed that fungi were more resistant than bacteria (27 vs. 13). This study contributes to understanding the process of soil microbial succession under Cd stress and identifying microbial strains with potential for Cd remediation.

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火山生态系统中镉驱动的土壤微生物群落组装过程与共生网络
重金属(HM)污染会影响土壤微生物群落的组成和结构,但有关火山生态系统中镉驱动的土壤微生物群落演替的组装过程和共生网络的研究却很少。针对这一知识空白,我们采集并分析了女山火山区的土壤样本,以了解原生演替土壤(PS)和次生演替土壤(SS)的微生物特征。我们发现,土壤受到不同程度的镉污染(PS > SS),导致微生物具有明显的异质性。细菌的绝对丰度(16S rRNA 基因拷贝数)在两种演替之间存在显著差异(P < 0.0001)。共现网络分析显示,与 SS 相比,PS 中细菌群落的节点数量较少(1002 对 1004),这表明重金属污染会减少土壤微生物群落的数量。与 PS 相比,SS 中的细菌群落表现出更强的竞争性(正:负,P/N:25.69 对 64.22),而真菌群落的共生关系更密切(正/负,P/N:15.85 对 14.29)。中性群落模型(NCM)分析表明,随机过程主要控制微生物的组装过程(细菌 R2:0.657,真菌 R2:0.686)。曼特尔检验分析表明,镉与 cbbLR、amoA 和 phoD 负相关。桑基图的结果显示,真菌的抗性高于细菌(27 对 13)。这项研究有助于了解镉胁迫下的土壤微生物演替过程,并确定具有镉修复潜力的微生物菌株。
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来源期刊
Resources Environment and Sustainability
Resources Environment and Sustainability Environmental Science-Environmental Science (miscellaneous)
CiteScore
15.10
自引率
0.00%
发文量
41
审稿时长
33 days
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