Assembly mechanisms and successional patterns of sediment bacterial communities along a riverine wetland restoration chronosequence.

IF 4.2 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Yongjuan Chen, Chenyang Li, Shuyi Xie, Lingling Zhu, Mingxiang Liu, Hengpeng Li, Wangshou Zhang
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引用次数: 0

Abstract

Understanding the assembly mechanisms of bacterial communities in sediment is vital for assessing ecological outcomes of wetland restoration. This study examined these processes within sediment bacterial communities along a restoration chronosequence (2, 4, and 8 years) in riverine wetlands. Employing multi-seasonal sampling combined with 16S rRNA gene sequencing, null model frameworks, and co-occurrence network analyses, we observed distinct stage-dependent differences in community assembly. The 2-year wetland was characterized by a relatively high contribution of stochastic processes (notably dispersal limitation), although deterministic processes already dominated assembly. With increasing restoration age, the influence of deterministic processes, especially homogeneous selection, strengthened and remained dominant through the late stage (8 years). Community assembly exhibited significant spatiotemporal variation, with seasonal fluctuations strongly associated with this variation. Concurrently, bacterial co-occurrence networks demonstrated increased modularity, indicative of increasingly modular, functionally compartmentalized community structures. Network topology differed consistently along the restoration gradient, from simple and loosely connected to highly complex and modular configurations, reflecting ecosystem maturation. These findings reveal a pattern of increasing deterministic selection and network modularity with restoration age, thereby advancing understanding of microbial processes during wetland restoration and providing a scientific foundation for ecosystem recovery assessment.IMPORTANCEWetland restoration is widely regarded as a nature-based solution, yet the microbial recovery trajectories following restoration remain poorly characterized. Our study reveals a consistent pattern across restoration ages in sediment bacterial communities across 2-, 4-, and 8-year restored wetlands: from relatively high stochasticity alongside dominant deterministic selection, to strengthened deterministic dominance, and finally to modular, functionally compartmentalized networks. This pattern is associated with restoration duration itself, not with measured environmental factors, and occurs despite strong seasonal variation. Importantly, we show that co-occurrence network modularity and robustness can serve as quantitative, sensitive indicators of ecosystem maturation-more informative than traditional diversity indices. These findings provide a scientific basis for evaluating restoration success and suggest that allowing at least 8 years is necessary for functional stabilization. Our work offers microbial ecological criteria to guide adaptive management and engineering decisions in nature-based wetland restoration.

河流湿地恢复时间序列沉积物细菌群落组合机制与演替模式
了解沉积物中细菌群落的聚集机制对评估湿地恢复的生态效果至关重要。本研究沿着河流湿地的恢复时间顺序(2年、4年和8年)考察了沉积物细菌群落的这些过程。通过多季节采样,结合16S rRNA基因测序,零模型框架和共现网络分析,我们观察到群落聚集的明显阶段依赖差异。2年湿地的特点是随机过程的贡献相对较高(特别是扩散限制),尽管确定性过程已经主导了组装。随着恢复年龄的增加,确定性过程的影响,特别是同质选择的影响增强,并在后期(8年)保持主导地位。群落聚集表现出明显的时空变化,季节波动与这种变化密切相关。同时,细菌共生网络显示出增加的模块化,表明越来越模块化,功能分区的社区结构。网络拓扑结构在恢复梯度上呈现一致性差异,从简单松散的连接到高度复杂的模块化配置,反映了生态系统的成熟。这些发现揭示了确定性选择和网络模块化随恢复年龄增加的模式,从而促进了对湿地恢复过程中微生物过程的认识,为生态系统恢复评估提供了科学依据。湿地恢复被广泛认为是一种基于自然的解决方案,但恢复后的微生物恢复轨迹仍然缺乏特征。我们的研究揭示了2年、4年和8年恢复湿地的沉积物细菌群落在不同的恢复年龄中具有一致的模式:从相对高的随机性和显性确定性选择,到强化的确定性优势,最后到模块化、功能分区化的网络。这种模式与恢复持续时间本身有关,而与测量到的环境因素无关,尽管存在强烈的季节变化,但仍会发生。重要的是,我们表明共现网络的模块化和鲁棒性可以作为生态系统成熟的定量、敏感指标,比传统的多样性指标更具信息量。这些发现为评估修复成功与否提供了科学依据,并提示至少8年的功能稳定是必要的。我们的工作为指导基于自然的湿地恢复的适应性管理和工程决策提供了微生物生态学标准。
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来源期刊
Applied and Environmental Microbiology
Applied and Environmental Microbiology 生物-生物工程与应用微生物
CiteScore
7.70
自引率
2.30%
发文量
730
审稿时长
1.9 months
期刊介绍: Applied and Environmental Microbiology (AEM) publishes papers that make significant contributions to (a) applied microbiology, including biotechnology, protein engineering, bioremediation, and food microbiology, (b) microbial ecology, including environmental, organismic, and genomic microbiology, and (c) interdisciplinary microbiology, including invertebrate microbiology, plant microbiology, aquatic microbiology, and geomicrobiology.
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