Dong Li1,2, Haowei Ni1,3, Shuo Jiao4, Yahai Lu5, Jizhong Zhou6, Bo Sun1, Yuting Liang7,8. 1. State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China. 2. School of Environmental and Safety Engineering, Changzhou University, Changzhou, 213164, China. 3. University of the Chinese Academy of Sciences, Beijing, 100049, China. 4. State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University, Yangling, 712100, China. 5. College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China. 6. Institute for Environmental Genomics, Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USA. 7. State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China. ytliang@issas.ac.cn. 8. University of the Chinese Academy of Sciences, Beijing, 100049, China. ytliang@issas.ac.cn.
Abstract
BACKGROUND: Soil methanogens participate in complex interactions, which determine the community structures and functions. Studies continue to seek the coexistence patterns of soil methanogens, influencing factors and the contribution to methane (CH4) production, which are regulated primarily by species interactions, and the functional significance of these interactions. Here, methane emissions were measured in rice paddies across the Asian continent, and the complex interactions involved in coexistence patterns of methanogenic archaeal communities were represented as pairwise links in co-occurrence networks. RESULTS: The network topological properties, which were positively correlated with mean annual temperature, were the most important predictor of CH4 emissions among all the biotic and abiotic factors. The methanogenic groups involved in commonly co-occurring links among the 39 local networks contributed most to CH4 emission (53.3%), much higher than the contribution of methanogenic groups with endemic links (36.8%). The potential keystone taxa, belonging to Methanobacterium, Methanocella, Methanothrix, and Methanosarcina, possessed high linkages with the methane generation functional genes mcrA, fwdB, mtbA, and mtbC. Moreover, the commonly coexisting taxa showed a very different assembly pattern, with ~ 30% determinism and ~ 70% stochasticity. In contrast, a higher proportion of stochasticity (93~99%) characterized the assembly of endemically coexisting taxa. CONCLUSIONS: These results suggest that the coexistence patterns of microbes are closely tied to their functional significance, and the potential importance of common coexistence further imply that complex networks of interactions may contribute more than species diversity to soil functions. Video abstract.
BACKGROUND: Soil methanogens participate in complex interactions, which determine the community structures and functions. Studies continue to seek the coexistence patterns of soil methanogens, influencing factors and the contribution to methane (CH4) production, which are regulated primarily by species interactions, and the functional significance of these interactions. Here, methane emissions were measured in rice paddies across the Asian continent, and the complex interactions involved in coexistence patterns of methanogenic archaeal communities were represented as pairwise links in co-occurrence networks. RESULTS: The network topological properties, which were positively correlated with mean annual temperature, were the most important predictor of CH4 emissions among all the biotic and abiotic factors. The methanogenic groups involved in commonly co-occurring links among the 39 local networks contributed most to CH4 emission (53.3%), much higher than the contribution of methanogenic groups with endemic links (36.8%). The potential keystone taxa, belonging to Methanobacterium, Methanocella, Methanothrix, and Methanosarcina, possessed high linkages with the methane generation functional genes mcrA, fwdB, mtbA, and mtbC. Moreover, the commonly coexisting taxa showed a very different assembly pattern, with ~ 30% determinism and ~ 70% stochasticity. In contrast, a higher proportion of stochasticity (93~99%) characterized the assembly of endemically coexisting taxa. CONCLUSIONS: These results suggest that the coexistence patterns of microbes are closely tied to their functional significance, and the potential importance of common coexistence further imply that complex networks of interactions may contribute more than species diversity to soil functions. Video abstract.
Entities:
Keywords:
CH4 emission; Co-occurrence network; Common and endemic coexistence; Methanogens; Stochastic and deterministic processes
Authors: Gipsi Lima-Mendez; Karoline Faust; Nicolas Henry; Johan Decelle; Sébastien Colin; Fabrizio Carcillo; Samuel Chaffron; J Cesar Ignacio-Espinosa; Simon Roux; Flora Vincent; Lucie Bittner; Youssef Darzi; Jun Wang; Stéphane Audic; Léo Berline; Gianluca Bontempi; Ana M Cabello; Laurent Coppola; Francisco M Cornejo-Castillo; Francesco d'Ovidio; Luc De Meester; Isabel Ferrera; Marie-José Garet-Delmas; Lionel Guidi; Elena Lara; Stéphane Pesant; Marta Royo-Llonch; Guillem Salazar; Pablo Sánchez; Marta Sebastian; Caroline Souffreau; Céline Dimier; Marc Picheral; Sarah Searson; Stefanie Kandels-Lewis; Gabriel Gorsky; Fabrice Not; Hiroyuki Ogata; Sabrina Speich; Lars Stemmann; Jean Weissenbach; Patrick Wincker; Silvia G Acinas; Shinichi Sunagawa; Peer Bork; Matthew B Sullivan; Eric Karsenti; Chris Bowler; Colomban de Vargas; Jeroen Raes Journal: Science Date: 2015-05-22 Impact factor: 47.728
Authors: Bin Ma; Haizhen Wang; Melissa Dsouza; Jun Lou; Yan He; Zhongmin Dai; Philip C Brookes; Jianming Xu; Jack A Gilbert Journal: ISME J Date: 2016-01-15 Impact factor: 10.302
Authors: Thomas Kaupper; Lucas W Mendes; Anja Poehlein; Daria Frohloff; Stephan Rohrbach; Marcus A Horn; Adrian Ho Journal: Environ Microbiome Date: 2022-04-05
Authors: Siti Suhailah Sharuddin; Norhayati Ramli; Mohd Zulkhairi Mohd Yusoff; Nor Azlan Nor Muhammad; Li Sim Ho; Toshinari Maeda Journal: Int J Mol Sci Date: 2022-03-29 Impact factor: 5.923