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Tree phylogeny predicts more than litter chemical components in explaining enzyme activities in forest leaf litter decomposition  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Tree phylogeny predicts more than litter chemical components in explaining enzyme activities in forest leaf litter decomposition

作者:Du, Shuhui[1] Wang, Lujun[2] Yang, Haishui[3] Zhang, Qian[4,5]

第一作者:Du, Shuhui

通信作者:Zhang, Q[1]

机构:[1]Shanxi Agr Univ, Coll Forestry, Taigu 030800, Shanxi, Peoples R China;[2]Anhui Acad Forestry, 618-1 Huangshan Rd, Hefei 230031, Peoples R China;[3]Nanjing Agr Univ, Coll Agr, Nanjing 210095, Peoples R China;[4]Chinese Acad Forestry, Res Inst Forestry, Beijing 100091, Peoples R China;[5]Chinese Acad Forestry, Res Inst Forestry, 1 Dongxiaofu,Xiangshan Rd, Beijing 100091, Peoples R China

年份:2024

卷号:283

外文期刊名:MICROBIOLOGICAL RESEARCH

收录:;EI(收录号:20241115725081);Scopus(收录号:2-s2.0-85187237762);WOS:【SCI-EXPANDED(收录号:WOS:001202623900001)】;

基金:This work was supported by the Central Public -interest Scientific Institution Basal Research Fund (CAFYBB2019QB001) , the Natural Science Foundation of China (No. 31870099) and the Scientific Inno- vation Project of Shanxi Agricultural University (2017YJ22) .

语种:英文

外文关键词:Plant phylogeny; Litter decomposition; Litter microbes; Enzyme activities

摘要:Litter decomposition is an important process in ecosystem and despite recent research elucidating the significant influence of plant phylogeny on plant-associated microbial communities, it remains uncertain whether a parallel correlation exists between plant phylogeny and the community of decomposers residing in forest litter. In this study, we conducted a controlled litterbag experiment using leaf litter from ten distinct tree species in a central subtropical forest ecosystem in a region characterized by subtropical humid monsoon climate in China. The litterbags were placed in situ using a random experimental design and were collected after 12 months of incubation. Then, the litter chemical properties, microbial community composition and activities of enzyme related to the decomposition of organic carbon (C) and nitrogen (N) were assessed. Across all ten tree species, Alphaproteobacteria, Gammaproteobacteria, and Actinobacteria were identified as the predominant bacterial classes, while the primary fungal classes were Dothideomycetes, Sordariomycetes and Eurotiomycetes. Mantel test revealed significant correlations between litter chemical component and microbial communities, as well as enzyme activities linked to N and C metabolism. However, after controlling for plant phylogenetic distance in partial Mantel test, the relationships between litter chemical component and microbial community structure and enzyme activities were not significant. Random forest and structural equation modeling indicated that plant phylogenetic distance exerted a more substantial influence than litter chemical components on microbial communities and enzyme activities associated with the decomposition of leaf litter. In summary, plant phylogenic divergence was found to be a more influential predictor of enzyme activity variations than microbial communities and litter traits, which were commonly considered reliable indicators of litter decomposition and ecosystem function, thereby highlighting the previously underestimated significance of plant phylogeny in shaping litter microbial communities and enzyme activities associated with degradation processes in forest litter.

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