Liu Bingjun, Chen Jian, Li Yang
Institute of Energy, Hefei Comprehensive National Science Center, Anhui, Hefei 230031, China.
Coal Mining National Engineering and Technology Research Institute, Huainan, Anhui Province 232033, China.
ACS Omega. 2022 Aug 17;7(34):29901-29908. doi: 10.1021/acsomega.2c02830. eCollection 2022 Aug 30.
Microorganisms are the core drivers of coal biogeochemistry and are closely related to the formation of coalbed methane. However, it remains poorly understood about the network relationship and stability of microbial communities in coals with different ranks. In this study, a high-throughput sequencing data set was analyzed to understand the microbial co-occurrence network in coals with different ranks including anthracite, medium-volatile bituminous, and high-volatile bituminous. The results showed similar topological properties for the microbial networks among coals with different ranks, but a great difference was found in the microbial composition in different large modules among coals with different ranks, and these three networks had three, four, and four large modules with seven, nine, and nine phyla, respectively. Among these networks, a total of 46 keystone taxa were identified in large modules, and these keystone taxa were different in coals with different ranks. Bacteria dominated the keystone taxa in the microbial network, and these bacterial keystone taxa mainly belonged to phyla Actinobacteria, Bacteroidetes, Firmicutes, and Proteobacteria. Besides, the removal of the key microbial data could reduce the community stability of microbial communities in bituminous coals. A partial least-squares path model further showed that these bacterial keystone taxa indirectly affected methanogenic potential by maintaining the microbial community stability and bacterial diversity. In summary, these results showed that keystone taxa played an important role in determining the community diversity, maintaining the microbial community stability, and controlling the methanogenic potential, which is of great significance for understanding the microbial ecology and the geochemical cycle of coal seams.
微生物是煤生物地球化学的核心驱动因素，与煤层气的形成密切相关。然而，对于不同煤阶煤中微生物群落的网络关系和稳定性仍知之甚少。在本研究中，分析了一个高通量测序数据集，以了解不同煤阶（包括无烟煤、中挥发烟煤和高挥发烟煤）煤中的微生物共现网络。结果表明，不同煤阶煤的微生物网络具有相似的拓扑性质，但不同煤阶煤不同大模块中的微生物组成存在很大差异，这三个网络分别有三个、四个和四个大模块，包含七个、九个和九个门。在这些网络中，在大模块中共鉴定出46个关键分类群，且这些关键分类群在不同煤阶煤中有所不同。细菌在微生物网络的关键分类群中占主导地位，这些细菌关键分类群主要属于放线菌门、拟杆菌门、厚壁菌门和变形菌门。此外，去除关键微生物数据会降低烟煤中微生物群落的稳定性。偏最小二乘路径模型进一步表明，这些细菌关键分类群通过维持微生物群落稳定性和细菌多样性间接影响产甲烷潜力。总之，这些结果表明关键分类群在决定群落多样性、维持微生物群落稳定性和控制产甲烷潜力方面发挥着重要作用，这对于理解煤层的微生物生态学和地球化学循环具有重要意义。
