Assessment of soil microbial communities and diversity in typical coastal wetlands along a succession gradient: Implications for reconstructing the long-term evolution of coastal wetlands

To more precisely reconstruct the long-term evolutionary processes of coastal wetlands in the past using microbial deposition records, it is essential to differentiate various types of coastal wetlands along sea-land gradients based on their community and diversity characteristics, and to identify the primary factors influencing them. In this study, based on high-throughput sequencing technology, we revealed the microbial community composition and diversity characteristics of four major coastal wetlands in Bohai Bay, including Lagoon & Estuary (L&E), Suaeda (SU), Freshwater- Phragmites (F-P), and Freshwater-Weeds (F-W), and discussed their relationship with environmental factors. The results showed that dominant microbial communities had clear indicative significance for corresponding wetlands. In the L&E wetlands, the microbial communities are characterized by dominant taxa spanning multiple taxonomic ranks: Desulfobacterota, Gammaproteobacteria, and Desulfuromonadia. In SU wetlands, the indicator taxa comprised Flavobacteriales, Balneolales, and Planococcaceae. In F-P wetlands, the differentially abundant taxa included Acidobacteriota, Myxococcota, Gemmatimonadota, and Planctomycetota. Salinity and vegetation cover were the most important factors affecting soil microbial composition in Bohai Bay coastal wetlands. F-P wetlands had the highest richness and evenness of microbial species, followed by L&E, F-W, and SU wetlands. Na + and Cr contents were negatively correlated with microbial diversity, while vegetation cover, TOC and P contents were positively correlated with microbial diversity. Our study emphasized the significance of understanding the relationship between microbial community composition and environmental factors in different wetlands in Bohai Bay, and lay a foundation for wetland biodiversity conservation and reconstruction of past ecosystem succession processes. • Microbial communities clearly indicate the characteristics of different wetlands. • Salinity and vegetation cover significantly affect soil microbial communities. • F-P has the highest microbial diversity, while SU shows the lowest. • Na + and Cr show negative correlation with microbial diversity. • Vegetation cover, TOC, and P are positively correlated with microbial diversity.

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Publication Details

Journal
Environmental Technology & Innovation
Published
2025-05-15
DOI
https://doi.org/10.1016/j.eti.2025.104263
Citations
3
Primary Topic
Coastal wetland ecosystem dynamics
Type
article
Field-Weighted Citation Impact
5.15

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article

Assessment of soil microbial communities and diversity in typical coastal wetlands along a succession gradient: Implications for reconstructing the long-term evolution of coastal wetlands

Yawen Ge, Zijing She, Xiaoli Yao, Yingying Wang et al.
3 citations
Environmental Technology & Innovation
Coastal wetland ecosystem dynamics
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article

Assessment of soil microbial communities and diversity in typical coastal wetlands along a succession gradient: Implications for reconstructing the long-term evolution of coastal wetlands

Yawen Ge, Zijing She, Xiaoli Yao, Yingying Wang, Fenghua Wang, Ze He, Yuecong Li, Yihang Cao, Ziying Zheng, Xiao Huang, Yutao Zuo
article en
3 citations

Abstract

To more precisely reconstruct the long-term evolutionary processes of coastal wetlands in the past using microbial deposition records, it is essential to differentiate various types of coastal wetlands along sea-land gradients based on their community and diversity characteristics, and to identify the primary factors influencing them. In this study, based on high-throughput sequencing technology, we revealed the microbial community composition and diversity characteristics of four major coastal wetlands in Bohai Bay, including Lagoon & Estuary (L&E), Suaeda (SU), Freshwater- Phragmites (F-P), and Freshwater-Weeds (F-W), and discussed their relationship with environmental factors. The results showed that dominant microbial communities had clear indicative significance for corresponding wetlands. In the L&E wetlands, the microbial communities are characterized by dominant taxa spanning multiple taxonomic ranks: Desulfobacterota, Gammaproteobacteria, and Desulfuromonadia. In SU wetlands, the indicator taxa comprised Flavobacteriales, Balneolales, and Planococcaceae. In F-P wetlands, the differentially abundant taxa included Acidobacteriota, Myxococcota, Gemmatimonadota, and Planctomycetota. Salinity and vegetation cover were the most important factors affecting soil microbial composition in Bohai Bay coastal wetlands. F-P wetlands had the highest richness and evenness of microbial species, followed by L&E, F-W, and SU wetlands. Na + and Cr contents were negatively correlated with microbial diversity, while vegetation cover, TOC and P contents were positively correlated with microbial diversity. Our study emphasized the significance of understanding the relationship between microbial community composition and environmental factors in different wetlands in Bohai Bay, and lay a foundation for wetland biodiversity conservation and reconstruction of past ecosystem succession processes. • Microbial communities clearly indicate the characteristics of different wetlands. • Salinity and vegetation cover significantly affect soil microbial communities. • F-P has the highest microbial diversity, while SU shows the lowest. • Na + and Cr show negative correlation with microbial diversity. • Vegetation cover, TOC, and P are positively correlated with microbial diversity.

Environmental Technology & InnovationVol. 39
Chinese Academy of Geological Sciences (CN), Nanjing University (CN), Hebei Normal University (CN)
National Natural Science Foundation of China, Hebei Normal University, Department of Education of Hebei Province, Natural Science Foundation of Hebei Province, Key Technologies Research and Development Program, National Key Research and Development Program of China
Life below water
Openalex Percentile: Top 6%
Coastal wetland ecosystem dynamics
5.15
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