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来自中国四个代表性省份的根际内生细菌群落组成

Root-Associated Endophytic Bacterial Community Composition of from Four Representative Provinces in China.

作者信息

Deng Zhen-Shan, Zhang Bao-Cheng, Qi Xiang-Ying, Sun Zhi-Hong, He Xiao-Long, Liu Yu-Zhen, Li Jing, Chen Kai-Kai, Lin Zhan-Xi

机构信息

College of Life Sciences, Yan'an University, Yan'an 716000, China.

School of Biological and Agricultural Science and Technology, Zunyi Normal College, Zunyi 53602, China.

出版信息

Microorganisms. 2019 Feb 11;7(2):47. doi: 10.3390/microorganisms7020047.

DOI:10.3390/microorganisms7020047
PMID:30754647
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6406789/
Abstract

, a source of bio-energy with high biomass production, is a species that contains high crude protein and will be useful for solving the shortage of forage grass after the implementation of "Green for Grain" project in the Loess plateau of Northern Shaanxi in 1999. Plants may receive benefits from endophytic bacteria, such as the enhancement of plant growth or the reduction of plant stress. However, the composition of the endophytic bacterial community associated with the roots of is poorly elucidated. In this study, from five different samples (Shaanxi province, SX; Fujian province, FJ; the Xinjiang Uyghur autonomous prefecture, XJ and Inner Mongolia, including sand (NS) and saline-alkali land (NY), China) were investigated by high-throughput next-generation sequencing of the 16S rDNA V3-V4 hypervariable region of endophytic bacteria. A total of 313,044 effective sequences were obtained by sequencing five different samples, and 957 effective operational taxonomic units (OTUs) were yielded at 97% identity. The phylum Proteobacteria, the classes Gammaproteobacteria and Alphaproteobacteria, and the genera , , , , , and were significantly dominant in the five samples. In addition, our results demonstrated that the Shaanxi province (SX) sample had the highest Shannon index values (3.795). We found that the SX (308.097) and NS (126.240) samples had the highest and lowest Chao1 richness estimator (Chao1) values, respectively. Venn graphs indicated that the five samples shared 39 common OTUs. Moreover, according to results of the canonical correlation analysis (CCA), soil total carbon, total nitrogen, effective phosphorus, and pH were the major contributing factors to the difference in the overall composition of the bacteria community in this study. Our data provide insights into the endophytic bacteria community composition and structure of roots associated with These results might be useful for growth promotion in different samples, and some of the strains may have the potential to improve plant production in future studies.

摘要

作为一种具有高生物量产量的生物能源来源,是一种含有高蛋白的物种,对于解决1999年陕北黄土高原实施“退耕还林”工程后饲草短缺问题具有重要意义。植物可能从内生细菌中受益,例如促进植物生长或减轻植物胁迫。然而,与该植物根系相关的内生细菌群落组成尚不清楚。在本研究中,通过对内生细菌16S rDNA V3 - V4高变区进行高通量二代测序,对来自中国五个不同样本(陕西省,SX;福建省,FJ;新疆维吾尔自治区,XJ;内蒙古,包括沙地(NS)和盐碱地(NY))的该植物进行了研究。对五个不同样本进行测序共获得313,044条有效序列,在97%的同一性水平上产生了957个有效操作分类单元(OTU)。变形菌门、γ - 变形菌纲和α - 变形菌纲以及属、、、、、和在五个样本中显著占优势。此外,我们的结果表明陕西省(SX)样本具有最高的香农指数值(3.795)。我们发现SX(308.097)和NS(126.240)样本分别具有最高和最低的Chao1丰富度估计值(Chao1)。维恩图表明五个样本共有39个共同的OTU。此外,根据典范对应分析(CCA)结果,土壤总碳、总氮、有效磷和pH是本研究中细菌群落总体组成差异的主要影响因素。我们的数据为该植物根系内生细菌群落组成和结构提供了见解。这些结果可能有助于不同样本中的生长促进,并且在未来的研究中,一些菌株可能具有提高植物产量的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/7cb67051b8bd/microorganisms-07-00047-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/5ffd6018e2c9/microorganisms-07-00047-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/8817c4be6438/microorganisms-07-00047-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/c01f51d21284/microorganisms-07-00047-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/29d15e08695f/microorganisms-07-00047-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/71d1094a79b6/microorganisms-07-00047-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/949ae7442d04/microorganisms-07-00047-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/928d912eb4cf/microorganisms-07-00047-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/e9149f9dc114/microorganisms-07-00047-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/6d1bc95a9e09/microorganisms-07-00047-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/7cb67051b8bd/microorganisms-07-00047-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/5ffd6018e2c9/microorganisms-07-00047-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/8817c4be6438/microorganisms-07-00047-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/c01f51d21284/microorganisms-07-00047-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/29d15e08695f/microorganisms-07-00047-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/71d1094a79b6/microorganisms-07-00047-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/949ae7442d04/microorganisms-07-00047-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/928d912eb4cf/microorganisms-07-00047-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/e9149f9dc114/microorganisms-07-00047-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/6d1bc95a9e09/microorganisms-07-00047-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7c9/6406789/7cb67051b8bd/microorganisms-07-00047-g010.jpg

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