Liu Ying, Chen Songze, Liang Jinyu, Song Jingjing, Sun Yue, Liao Riquan, Liang Mingzhong, Cao Hongming, Chen Xiuhao, Wu Yuxia, Bei Liting, Pan Yuting, Yan Baishu, Li Yunru, Tao Yun, Bu Rongping, Gong Bin
Pinglu Canal and Beibu Gulf Coastal Ecosystem Observation and Research Station of Guangxi, Guangxi Key Laboratory of Beibu Gulf Marine Biodiversity Conservation, College of Marine Sciences, Beibu Gulf University, Qinzhou 535011, China.
Shenzhen Ecological and Environmental Monitoring Center of Guangdong Province, Shenzhen 518049, China.
Microorganisms. 2024 Dec 17;12(12):2607. doi: 10.3390/microorganisms12122607.
Mangroves, as blue carbon reservoirs, provide a unique habitat for supporting a variety of microorganisms. Among these, bacteria play crucial roles in the biogeochemical processes of mangrove sediments. However, little is known about their community composition, spatial distribution patterns, and environmental driving factors, particularly across the large geographical scales of mangrove wetlands. In this study, the composition and spatial distribution of the bacterial community structure and its response to fifteen physicochemical parameters (including temperature, pH, salinity, moisture, clay, silt, sand, organic carbon (OC), total nitrogen (TN), total phosphorus (TP), inorganic phosphorus (IP), organic phosphorus (OP), δC, δN, and carbon/nitrogen ratio (C/N ratio)) were characterized in 32 sampling locations of six different mangrove habitats from Guangxi, China, applying 16S rRNA gene high-throughput sequencing technology and correlation analysis. Our results indicated that the spatial distribution patterns in bacterial communities were significantly different among the six different mangrove sites, as evidenced by NMDS (non-metric multidimensional scaling), ANOSIM (analysis of similarity), and LDA (linear discriminant analysis) analysis. Composition analysis of bacterial communities showed that overall, Chloroflexi (8.3-31.6%), Proteobacteria (13.6-30.1%), Bacteroidota (5.0-24.6%), and Desulfobacterota (3.8-24.0%) were the most abundant bacterial phyla in the mangrove surface sediments. Redundancy analysis (RDA) further highlighted that salinity, δC, temperature, δN, and silt were the most critical environmental variables influencing the composition of bacterial communities across the whole mangrove samples. Notably, Chloroflexi, one of the most abundant bacterial phyla in the mangrove wetlands, displayed a significantly positive correlation with OC and a negative correlation with δC, suggesting its essential role in the degradation of terrestrial-derived organic carbon. These findings support the current understanding of the roles of the bacterial communities and their interactions with environmental factors in diverse mangrove ecosystems.
红树林作为蓝碳库,为多种微生物提供了独特的栖息地。其中,细菌在红树林沉积物的生物地球化学过程中发挥着关键作用。然而,人们对它们的群落组成、空间分布模式以及环境驱动因素知之甚少,尤其是在红树林湿地的大地理尺度上。在本研究中,应用16S rRNA基因高通量测序技术和相关性分析,对中国广西六个不同红树林栖息地的32个采样点的细菌群落结构组成、空间分布及其对15个理化参数(包括温度、pH值、盐度、湿度、黏土、粉砂、砂、有机碳(OC)、总氮(TN)、总磷(TP)、无机磷(IP)、有机磷(OP)、δC、δN和碳氮比(C/N比))的响应进行了表征。我们的结果表明,通过非度量多维尺度分析(NMDS)、相似性分析(ANOSIM)和线性判别分析(LDA)可知,六个不同红树林站点的细菌群落空间分布模式存在显著差异。细菌群落组成分析表明,总体而言,绿弯菌门(8.3 - 31.6%)、变形菌门(13.6 - 30.1%)、拟杆菌门(5.0 - 24.6%)和脱硫杆菌门(3.8 - 24.0%)是红树林表层沉积物中最丰富的细菌门。冗余分析(RDA)进一步突出显示,盐度、δC、温度、δN和粉砂是影响整个红树林样本细菌群落组成的最关键环境变量。值得注意的是,绿弯菌门是红树林湿地中最丰富的细菌门之一,它与有机碳呈显著正相关,与δC呈负相关,这表明其在陆地来源有机碳降解中起着重要作用。这些发现支持了目前对不同红树林生态系统中细菌群落作用及其与环境因素相互作用的理解。