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Rhizobacterial communities and fine root traits together reveal variations in growth performance ofQuercus acutissimain different provenances  ( SCI-EXPANDED收录)   被引量:2

文献类型:期刊文献

英文题名:Rhizobacterial communities and fine root traits together reveal variations in growth performance ofQuercus acutissimain different provenances

作者:Cheng, Xiangrong[1] Yuan, Haijing[1] Xu, Haidong[1] Xing, Wenli[1] Wang, Yangdong[1] Yu, Mukui[1]

第一作者:成向荣

通信作者:Yu, MK[1]

机构:[1]Chinese Acad Forestry, East China Coastal Forest Ecosyst Long Term Res S, Inst Subtrop Forestry, Hangzhou 311400, Zhejiang, Peoples R China

年份:2020

卷号:139

期号:6

起止页码:1091-1105

外文期刊名:EUROPEAN JOURNAL OF FOREST RESEARCH

收录:;Scopus(收录号:2-s2.0-85090159027);WOS:【SCI-EXPANDED(收录号:WOS:000565519000001)】;

基金:This study was supported by the Fundamental Research Funds for the Central Non-profit Research Institution of CAF (CAFYBB2018ZB001-3) and the National Forestry Public Welfare Research Project of China (No. 200704034). We would like to thank Editage (www.editage.cn) for their assistance with English language editing.

语种:英文

外文关键词:Bacterial community; Fine root; Growth performance; Oak provenance; Rhizosphere

摘要:It is important to understand the variations in intraspecific growth performance for forest management. We evaluated the relationships among fine root traits, rhizobacterial community structure, and growth variables in different oak (Quercus acutissima) provenances. Four oak provenances with different growth performances were studied. In each provenance, growth variables, fine root traits, rhizosphere soil chemical properties, and rhizobacterial abundance were measured. The structure of rhizobacterial communities was assessed by 16S rRNA gene sequencing. The co-occurrence patterns of bacterial taxa were analyzed by network analysis. The relative contribution of fine root traits and rhizobacterial communities to variations in growth performance was evaluated by hierarchical partitioning analysis. Growth performance of the four oak provenances was positively correlated with the specific root length. The beta-diversity of rhizobacterial communities, but not alpha-diversity, was positively correlated with the growth variables. The relative abundance of Actinobacteria (e.g.,ActinospicaandConexibactergenera) increased with aboveground biomass. The co-occurrence network analysis showed more clusters with highly interconnected taxa in the high-yielding provenances. Variation in growth performance of oak in different provenances was significantly affected by the rhizobacterial community structure and fine root traits, with the former being a more prominent factor.

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