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退化演替下寒区湿地土壤微生物群落适应机制

Mechanisms of Soil Microbial Community Adaptation in Cold-Region Wetlands Under Retrogressive Succession.

作者信息

Ding Junnan, Yu Shaopeng

机构信息

Heilongjiang Province Key Laboratory of Cold Region Wetland Ecology and Environment Research, Harbin University, Harbin 150086, China.

出版信息

Life (Basel). 2025 May 20;15(5):817. doi: 10.3390/life15050817.

Abstract

Retrogressive succession alters soil conditions and microbial community dynamics in cold-region wetlands, yet its ecological implications remain understudied. This study explored the structure and function of soil microbial communities across three successional stages: swamp (SP), swamped meadow (SM), and meadow (MW). High-throughput 16S rRNA gene sequencing identified 2852 operational taxonomic units (OTUs), with 1682 shared among all stages (58.85%). Alpha diversity indices, including Shannon, Chao, ACE, and Sobs, were significantly higher in MW, with the Shannon index increasing by approximately 32% compared to SP, indicating enhanced richness and evenness. In contrast, Simpson and Coverage indices were highest in SP. Proteobacteria, Actinobacteriota, and Acidobacteriota were dominant phyla, showing distinct distributions across stages. Beta diversity analysis (PCoA and NMDS) revealed clear separation of microbial communities. Soil organic carbon (SOC), pH, soil water content (SWC), cation exchange capacity (CEC), and bulk density (BD) significantly influenced microbial composition and distribution. Functional prediction using FAPROTAX and BugBase indicated a shift from anaerobic metabolism, nitrogen fixation, and cellulolysis in the SP to aerobic chemoheterotrophy and stress tolerance in MW. These results demonstrate that microbial communities adapt to changing soil environments during retrogressive succession, highlighting their role in ecosystem function and resilience in cold-region wetlands.

摘要

逆行演替改变了寒区湿地的土壤条件和微生物群落动态,但其生态影响仍未得到充分研究。本研究探讨了三个演替阶段土壤微生物群落的结构和功能:沼泽(SP)、沼泽化草甸(SM)和草甸(MW)。高通量16S rRNA基因测序鉴定出2852个操作分类单元(OTU),所有阶段共有1682个(58.85%)。包括香农指数、Chao指数、ACE指数和Sobs指数在内的α多样性指数在MW中显著更高,香农指数比SP增加了约32%,表明丰富度和均匀度有所提高。相比之下,辛普森指数和覆盖度指数在SP中最高。变形菌门、放线菌门和酸杆菌门是优势菌门,在各阶段呈现出不同的分布。β多样性分析(PCoA和NMDS)揭示了微生物群落的明显分离。土壤有机碳(SOC)、pH值、土壤含水量(SWC)、阳离子交换容量(CEC)和容重(BD)显著影响微生物的组成和分布。使用FAPROTAX和BugBase进行的功能预测表明,从SP中的厌氧代谢、固氮和纤维素分解转变为MW中的有氧化学异养和胁迫耐受性。这些结果表明,在逆行演替过程中,微生物群落适应不断变化的土壤环境,突出了它们在寒区湿地生态系统功能和恢复力中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29a5/12112864/9c6df2c768af/life-15-00817-g001.jpg

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