微生物群落多样性随季节变化显著。然而,对湖泊沉积物中微生物群落功能的季节性变化及其相关的环境影响知之甚少。在这项研究中,从冬季收集的沉积物的宏基因组测序,夏天,从草海到秋天,贵州高原,用于评估沉积物微生物群落的组成和功能,功能基因的潜在相互作用,与季节相关的关键基因,和社区集会机制。湖泊沉积物中氮(TN)和磷(TP)的平均浓度较高,分别为6.136和0.501克/千克,分别。TN和有机质(OM)是与沉积物群落组成和功能概况相关的主要因素。微生物群落的多样性和结构随季节的变化而变化,夏季和变形杆菌的相对丰度显着低于其他季节(58.43-44.12%)。季节也与功能基因的相对丰度有关,尤其是korA,metF,narc,nrfA,pstC/S,还有SoxB基因.网络复杂性在夏季最高,网络中的关键基因也因季节而异。中性群落模型分析揭示了与碳(C)、氮(N),磷(P),与硫(S)循环相关的基因主要与随机过程有关。总之,在湖泊沉积物中鉴定出多种功能基因,并显示出协同相互作用的证据(正比例:74.91-99.82%),而季节性因素影响其分布。这项研究的结果为季节性影响对浅水湖泊中微生物驱动的生物地球化学循环提供了新的见解。
Microbial community diversity significantly varies with seasonality. However, little is known about seasonal variation of microbial community functions in lake sediments and their associated environmental influences. In this study, metagenomic sequencing of sediments collected from winter, summer, and autumn from Caohai Lake, Guizhou Plateau, were used to evaluate the composition and function of sediment microbial communities, the potential interactions of functional genes, key genes associated with seasons, and community assembly mechanisms. The average concentrations of nitrogen (TN) and phosphorus (TP) in lake sediments were higher, which were 6.136 and 0.501 g/kg, respectively. TN and organic matter (OM) were the primary factors associated with sediment community composition and functional profiles. The diversity and structure of the microbial communities varied with seasons, and Proteobacteria relative abundances were significantly lower in summer than in other seasons (58.43-44.12 %). Seasons were also associated with the relative abundances of functional genes, and in particular korA, metF, narC, nrfA, pstC/S, and soxB genes. Network complexity was highest in the summer and key genes in the network also varied across seasons. Neutral community model analysis revealed that the assembly mechanisms related to carbon (C), nitrogen (N), phosphorus (P), and sulfur (S) cycle-related genes were primarily associated with random processes. In summary, diverse functional genes were identified in lake sediments and exhibited evidence for synergistic interactions (Positive proportion: 74.91-99.82 %), while seasonal factors influenced their distribution. The results of this study provide new insights into seasonal impacts on microbial-driven biogeochemical cycling in shallow lakes.