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薄壳山核桃根际土壤微生物群落结构特征分析
引用本文:刘丽丽,李建辉,刘汝明,陈骏,郑雪良,杨海英,王登亮,孙建城.薄壳山核桃根际土壤微生物群落结构特征分析 [J].现代农业科技,2022(15).
作者姓名:刘丽丽  李建辉  刘汝明  陈骏  郑雪良  杨海英  王登亮  孙建城
作者单位:衢州市农业林业科学研究院果树研究所,衢州学院,衢州市柯城区林业技术推广中心,衢州市农业林业科学研究院果树研究所,衢州市农业林业科学研究院果树研究所,衢州市农业林业科学研究院果树研究所,衢州市农业林业科学研究院果树研究所,衢州市农业林业科学研究院果树研究所
摘    要:为研究薄壳山核桃根际土壤微生物群落结构特征,利用Illumina高通量测序技术对其根际与非根际的土壤样品进行对比分析。结果表明,薄壳山核桃非根际土壤细菌和真菌序列数分别比根际土壤多1867条和11163条,薄壳山核桃非根际土壤真菌的Chao1指数、ACE指数、Shannon指数均显著大于根际土壤,但两者之间的细菌差异不显著。从细菌和真菌组成来看,薄壳山核桃根际与非根际土壤中丰度最高的细菌为放线菌门(Actinobacteria)、真菌为子囊菌门(Ascomycota)。总体而言,薄壳山核桃根际与非根际土壤微生物存在一定差异,非根际土壤真菌多样性显著大于根际土壤,但细菌差异不显著。

关 键 词:薄壳山核桃  土壤微生物  群落结构  高通量测序
收稿时间:2021/11/16 0:00:00
修稿时间:2021/11/16 0:00:00

Analysis on Characteristics of Microbial Community Structure in Rhizosphere Soil of Carya illinoensis
Authors:LI Jianhui  and
Institution:Department of Environmental Engineering,Quzhou University,Quzhou,,,,,,
Abstract:In order to study the characteristics of the microbial community structure in the rhizosphere soil of the Carya illinoensis, the Illumina high-throughput sequencing technology was used to compare and analyze the rhizosphere and non-rhizosphere soil samples. The results showed that the numbers of bacteria and fungi in the non-rhizosphere soil of C. illinoensis were 1867 and 11163 more than those in the rhizosphere soil, respectively. The Chao1 index, ACE index and Shannon index of the non-rhizosphere soil fungi of C. illinoensis were significantly larger than those of the rhizosphere soil, but the difference of bacterial between the two is not significant. In terms of the composition of bacteria and fungi, the most abundant bacteria in the rhizosphere and non-rhizosphere soils of C. illinoensis are Actinobacteria, and fungi are Ascomycota. In general, there are some differences in microbes between the rhizosphere and non-rhizosphere soils of C. illinoensis. The fungi diversity of non-rhizosphere soil is significantly greater than that of rhizosphere soil, but the difference in bacteria is not significant.
Keywords:Carya illinoensis  soil microbes  community structure  high-throughput sequencing
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