详细信息
Topological change of soil microbiota networks for forest resilience under global warming ( SCI-EXPANDED收录 EI收录) 被引量:6
文献类型:期刊文献
英文题名:Topological change of soil microbiota networks for forest resilience under global warming
作者:Gong, Huiying[1,2] Wang, Hongxing[3] Wang, Yu[2] Zhang, Shen[4] Liu, Xiang[2] Che, Jincan[1,2] Wu, Shuang[2] Wu, Jie[2] Sun, Xiaomei[3] Zhang, Shougong[3] Yau, Shing-Tung[2,4,5] Wu, Rongling[1,2,4,5]
第一作者:Gong, Huiying
通信作者:Wu, RL[1];Wu, RL[2];Sun, XM[3];Wu, RL[4];Wu, RL[5]
机构:[1]Beijing Forestry Univ, Sch Grassland Sci, Beijing 100083, Peoples R China;[2]Beijing Inst Math Sci & Applicat, Beijing 101408, Peoples R China;[3]Chinese Acad Forestry, Res Inst Forestry, State Key Lab Tree Genet & Breeding, Key Lab Tree Breeding & Cultivat Natl Forestry, Beijing 100091, Peoples R China;[4]Tsinghua Univ, Qiuzhen Coll, Beijing 100084, Peoples R China;[5]Tsinghua Univ, Yau Math Sci Ctr, Beijing 100084, Peoples R China
年份:2024
卷号:50
起止页码:228-251
外文期刊名:PHYSICS OF LIFE REVIEWS
收录:;EI(收录号:20243416923382);Scopus(收录号:2-s2.0-85201684085);WOS:【SCI-EXPANDED(收录号:WOS:001301241700001)】;
基金:This work is partially supported by the Start-Up Fund at Beijing Institute of Mathematical Sciences and Applications, the Fundamental Research Funds for the Central Non-proft Research Institution of Chinese Academy of Forestry (CAFYBB2022ZC001, LYSZX202002) and General Program of National Natural Science Foundation of China (31971652) .
语种:英文
外文关键词:Microbial interactions; Soil microbiota; Omnidirectional network; Climate change; Larix
摘要:Forest management by thinning can mitigate the detrimental impact of increasing drought caused by global warming. Growing evidence shows that the soil microbiota can coordinate the dynamic relationship between forest functions and drought intensity, but how they function as a cohesive whole remains elusive. We outline a statistical topology model to chart the roadmap of how each microbe acts and interacts with every other microbe to shape the dynamic changes of microbial communities under forest management. To demonstrate its utility, we analyze a soil microbiota data collected from a two-way longitudinal factorial experiment involving three stand densities and three levels of rainfall over a growing season in artificial plantations of a forest tree - larix (Larix kaempferi). We reconstruct the most sophisticated soil microbiota networks that code maximally informative microbial interactions and trace their dynamic trajectories across time, space, and environmental signals. By integrating GLMY homology theory, we dissect the topological architecture of these so-called omnidirectional networks and identify key microbial interaction pathways that play a pivotal role in mediating the structure and function of soil microbial communities. The statistical topological model described provides a systems tool for studying how microbial community assembly alters its structure, function and evolution under climate change.
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