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Comprehensive profiles of sulfur cycling microbial communities along a mangrove sediment depth.
Qian, Lu; Yan, Bozhi; Zhou, Jiayin; Fan, Yijun; Tao, Mei; Zhu, Wengen; Wang, Cheng; Tu, Qichao; Tian, Yun; He, Qiang; Wu, Kun; Niu, Mingyang; Yan, Qingyun; Nikoloski, Zoran; Liu, Guangli; Yu, Xiaoli; He, Zhili.
Afiliación
  • Qian L; School of Environmental Science and Engineering, Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory of Biocontrol, Sun Yat-Sen University, Guangzhou 510006, China.
  • Yan B; School of Environmental Science and Engineering, Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory of Biocontrol, Sun Yat-Sen University, Guangzhou 510006, China.
  • Zhou J; Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China.
  • Fan Y; School of Environmental Science and Engineering, Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory of Biocontrol, Sun Yat-Sen University, Guangzhou 510006, China.
  • Tao M; School of Environmental Science and Engineering, Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory of Biocontrol, Sun Yat-Sen University, Guangzhou 510006, China; College of Marine Sciences, South China Agricultural
  • Zhu W; School of Environmental Science and Engineering, Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory of Biocontrol, Sun Yat-Sen University, Guangzhou 510006, China.
  • Wang C; School of Environmental Science and Engineering, Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory of Biocontrol, Sun Yat-Sen University, Guangzhou 510006, China.
  • Tu Q; Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China.
  • Tian Y; Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, School of Life Sciences, Xiamen University, Xiamen 361005, China.
  • He Q; Department of Civil and Environmental Engineering, The University of Tennessee, Knoxville, TN 37996, USA.
  • Wu K; School of Environmental Science and Engineering, Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory of Biocontrol, Sun Yat-Sen University, Guangzhou 510006, China.
  • Niu M; School of Environmental Science and Engineering, Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory of Biocontrol, Sun Yat-Sen University, Guangzhou 510006, China.
  • Yan Q; School of Environmental Science and Engineering, Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory of Biocontrol, Sun Yat-Sen University, Guangzhou 510006, China.
  • Nikoloski Z; Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam 14476, Germany; Systems Biology and Mathematical Modeling, Max Planck Institute of Molecular Plant Physiology, Potsdam 14476, Germany.
  • Liu G; School of Environmental Science and Engineering, Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory of Biocontrol, Sun Yat-Sen University, Guangzhou 510006, China. Electronic address: liugl@mail.sysu.edu.cn.
  • Yu X; School of Environmental Science and Engineering, Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory of Biocontrol, Sun Yat-Sen University, Guangzhou 510006, China. Electronic address: yuxiaoli@sml-zhuhai.cn.
  • He Z; School of Environmental Science and Engineering, Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory of Biocontrol, Sun Yat-Sen University, Guangzhou 510006, China. Electronic address: hezhili@sml-zhuhai.cn.
Sci Total Environ ; 944: 173961, 2024 Sep 20.
Article en En | MEDLINE | ID: mdl-38876338
ABSTRACT
The sulfur (S) cycle is an important biogeochemical cycle with profound implications for both cellular- and ecosystem-level processes by diverse microorganisms. Mangrove sediments are a hotspot of biogeochemical cycling, especially for the S cycle with high concentrations of S compounds. Previous studies have mainly focused on some specific inorganic S cycling processes without paying specific attention to the overall S-cycling communities and processes as well as organic S metabolism. In this study, we comprehensively analyzed the distribution, ecological network and assembly mechanisms of S cycling microbial communities and their changes with sediment depths using metagenome sequencing data. The results showed that the abundance of gene families involved in sulfur oxidation, assimilatory sulfate reduction, and dimethylsulfoniopropionate (DMSP) cleavage and demethylation decreased with sediment depths, while those involved in S reduction and dimethyl sulfide (DMS) transformation showed an opposite trend. Specifically, glpE, responsible for converting S2O32- to SO32-, showed the highest abundance in the surface sediment and decreased with sediment depths; in contrast, high abundances of dmsA, responsible for converting dimethyl sulfoxide (DMSO) to DMS, were identified and increased with sediment depths. We identified Pseudomonas and Streptomyces as the main S-cycling microorganisms, while Thermococcus could play an import role in microbial network connections in the S-cycling microbial community. Our statistical analysis showed that both taxonomical and functional compositions were generally shaped by stochastic processes, while the functional composition of organic S metabolism showed a transition from stochastic to deterministic processes. This study provides a novel perspective of diversity distribution of S-cycling functions and taxa as well as their potential assembly mechanisms, which has important implications for maintaining mangrove ecosystem functions.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Azufre / Sedimentos Geológicos / Humedales / Microbiota Idioma: En Revista: Sci Total Environ Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Azufre / Sedimentos Geológicos / Humedales / Microbiota Idioma: En Revista: Sci Total Environ Año: 2024 Tipo del documento: Article País de afiliación: China