Methanogenic Community Characteristics and Its Influencing Factors in Reservoir Sediments on the Northeastern Qinghai Plateau

Author:

Liu Zebi12,Mao Xufeng12,Wu Yi12ORCID,Xia Liang12,Yu Hongyan3,Tang Wenjia4,Qi Yanhong5,Zhang Ziping6,Xiao Feng7,Ji Haichuan7

Affiliation:

1. Key Laboratory of Qinghai Province Physical Geography and Environmental Process, Qinghai Normal University, Xining 810008, China

2. Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation (Ministry of Education), Qinghai Normal University, Xining 810008, China

3. Qinghai Qilian Mountain National Park Qinghai Service Guarantee Center, Xining 810008, China

4. Qinghai Provincial Department of Ecology and Environment, Xining 810008, China

5. School of Management, Wuhan University of Technology, Wuhan 430070, China

6. Qinghai Provincial Key Laboratory of Ecological Environment Monitoring and Assessment, Xining 810008, China

7. Qinghai Forestry and Grass Bureau, Xining 810007, China

Abstract

Reservoirs are a hotspot for methane emissions, a potent greenhouse gas. However, the microbial basis for methane production in the Qinghai Plateau reservoirs remains unclear. To explore the characteristics of methanogenic communities in reservoir sediments on the northeastern Qinghai Plateau, sediment samples were collected from 18 reservoirs in the Yellow River basin during May 2023 (dry season) and August 2023 (wet season). High-throughput sequencing technology was employed to analyze the community composition, diversity, and co-occurrence network of methanogens. Furthermore, FAPROTAX and Mantel analysis were used to assess the metabolic functions of methanogens and their influencing factors. The results showed that (1) the predominant genera of methanogens were Methanobacterium (28.87%) and Methanosarcina (21.67%). Hydrogenotrophic methanogenesis was the main pathway in the sediments. (2) Significant spatiotemporal differences were observed in the diversity of methanogenic communities (p < 0.05). The composition and diversity of these communities were found to be significantly influenced by temperature, pH, altitude, organic carbon, and total nitrogen (p < 0.05). (3) Methanosarcina, Methanobacterium, and Methanospirillum play crucial roles in maintaining the stability of methanogenic community networks. The co-occurrence network nodes are predominantly positively correlated (99.82%). These results provide data for further studies on carbon cycling in the Qinghai Plateau reservoirs.

Funder

National Natural Science Foundation of China

Basic Research Program of Qinghai Province

Publisher

MDPI AG

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