School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China; Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
National Genomics Data Center & Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
Environ Res. 2024 Dec 15;263(Pt 1):120028. doi: 10.1016/j.envres.2024.120028. Epub 2024 Sep 20.
Bacteria are diverse and play important roles in biogeochemical cycling of aquatic ecosystems, but the global distribution patterns of bacterial communities in lake sediments across different climate zones are still obscure. Here we integrated the high-throughput sequencing data of 750 sediment samples from published literature to investigate the distribution of bacterial communities in different climate zones and the potential driving mechanisms. The obtained results indicated that the diversity and richness of bacterial community were notably higher in temperate and cold zones than those in other climate zones. In addition, the bacterial community composition varied significantly in different climate zones, which further led to changes in bacterial functional groups. Specifically, the relative abundance of nitrogen cycling functional groups in polar zones was notably higher compared to other climate zones. Regression analysis revealed that climate (mean annual precipitation, MAP; and mean annual temperature, MAT), vegetation, and geography together determined the diversity pattern of sediment bacterial community on a global scale. The results of partial least squares path modeling further demonstrated that climate was the most significant factor affecting the composition and diversity of bacterial communities, and MAP was the most important climate factor affecting the composition of bacteria community (R = 0.443, P < 0.001). It is worth noting that a strong positive correlation was observed between the abundance of the dominant bacterial group uncultured_f_Anaerolineaceae and the normalized difference vegetation index (NDVI; P < 0.001), suggesting that vegetation could affect bacterial community diversity by influencing dominant bacterial taxa. This study enhances our understanding of the global diversity patterns and biogeography of sediment bacteria.
细菌具有多样性,并在水生生态系统的生物地球化学循环中发挥重要作用,但不同气候带湖泊沉积物中细菌群落的全球分布模式仍不清楚。在这里,我们整合了来自已发表文献的 750 个沉积物样本的高通量测序数据,以调查不同气候带中细菌群落的分布及其潜在的驱动机制。研究结果表明,温带和寒带沉积物中细菌群落的多样性和丰富度明显高于其他气候带。此外,不同气候带的细菌群落组成差异显著,这进一步导致了细菌功能群的变化。具体而言,极地的氮循环功能群相对丰度明显高于其他气候带。回归分析表明,气候(年平均降水量 MAP 和年平均温度 MAT)、植被和地理共同决定了全球范围内沉积物细菌群落的多样性模式。偏最小二乘路径模型分析的结果进一步表明,气候是影响细菌群落组成和多样性的最主要因素,而年平均降水量 MAP 是影响细菌群落组成的最主要气候因素(R = 0.443,P < 0.001)。值得注意的是,未培养的_Anaerolineaceae 优势细菌群的丰度与归一化植被指数(NDVI)之间存在很强的正相关关系(P < 0.001),这表明植被可以通过影响优势细菌类群来影响细菌群落的多样性。本研究增强了我们对全球沉积物细菌多样性模式和生物地理学的理解。