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Illumina-based analysis of endophytic bacterial diversity and space-time dynamics in sugar beet on the north slope of Tianshan mountain

文献类型： 外文期刊

作者： Shi, YingWu 1 ; Yang, Hongmei 1 ; Zhang, Tao 1 ; Sun, Jian 1 ; Lou, Kai 1 ;

作者机构： 1.Xinjiang Acad Agr Sci Urumqi, Inst Microbiol, Xinjiang, Peoples R China

关键词： Beta vulgaris;Endophyte;Bacteria;Biodiversity;Growth period;Biogeography;Pyrosequencing;16S rRNAgene

期刊名称：APPLIED MICROBIOLOGY AND BIOTECHNOLOGY （ 影响因子：4.813； 五年影响因子：4.697 ）

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收录情况： SCI

摘要： Plants harbors complex and variable microbial communities. Endophytic bacteria play an important function and potential role more effectively in developing sustainable systems of crop production. To examine how endophytic bacteria in sugar beet (Beta vulgaris L.) vary across both host growth period and location, PCR-based Illumina was applied to revealed the diversity and stability of endophytic bacteria in sugar beet on the north slope of Tianshan mountain, China. A total of 60.84 M effective sequences of 16S rRNA gene V3 region were obtained from sugar beet samples. These sequences revealed huge amount of operational taxonomic units (OTUs) in sugar beet, that is, 19–121 OTUs in a beet sample, at 3 %cutoff level and sequencing depth of 30,000 sequences. We identified 13 classes from the resulting 449,585 sequences. Alphaproteobacteria were the dominant class in all sugar beets, followed by Acidobacteria, Gemmatimonadetes and Actinobacteria. A marked difference in the diversity of endophytic bacteria in sugar beet for different growth periods was evident. The greatest number of OTUs was detected during rossette formation (109 OTUs) and tuber growth (146 OTUs). Endophytic bacteria diversity was reduced during seedling growth (66 OTUs) and sucrose accumulation (95 OTUs). Forty-three OTUs were common to all four periods. There were more tags of Alphaproteobacteria and Gammaproteobacteria in Shihezi than in Changji. The dynamics of endophytic bacteria communities were influenced by plant genotype and plant growth stage. To the best of our knowledge, this study is the first application of PCR-based Illumina pyrosequencing to characterize and compare multiple sugar beet samples.

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