基于16SrDNA基因高通量测序分析植烟土壤的细菌群落结构
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  • 英文篇名:Analysis of Bacterial Community Structure in Tobacco Planting Soil Based on High Throughput Sequencing of 16SrDNA Gene
  • 作者:刘加红 ; 高华锋 ; 解燕 ; 马伟 ; 余磊 ; 孔垂思 ; 蔺忠龙 ; 杨涛
  • 英文作者:Liu Jiahong;Gao Huafeng;Xie Yan;Ma Wei;Yu Lei;Kong Chuisi;Lin Zhonglong;Yang Tao;Yunnan Provincial Tobacco Company Qujing Branch;Yunnan Academy of Agricultural Sciences;Yunnan Urban Agricultural Engineering and Technological Research Center, Kunming University;Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences;China Tobacco Company Yunnan Branch;Biotechnology and Genetic Resources Institute, Yunnan Academy of Agricultural Sciences;
  • 关键词:土壤宏基因组 ; 16SrDNA ; 植烟土壤 ; 细菌 ; 群落结构
  • 英文关键词:Soil metagenome;;16SrDNA;;Tobacco planting soil;;Bacterium;;Community structure
  • 中文刊名:FZZW
  • 英文刊名:Molecular Plant Breeding
  • 机构:云南省烟草公司曲靖市公司;云南省农业科学院;昆明学院云南省都市特色农业工程技术研究中心;云南省农业科学院农业环境资源研究所;中国烟草总公司云南省公司;云南省农业科学院生物技术与种质资源研究所;
  • 出版日期:2018-12-28
  • 出版单位:分子植物育种
  • 年:2018
  • 期:v.16
  • 基金:中国烟草总公司云南省公司项目(2015YN15);; 云南省技术创新人才培养项目(2015HB103)共同资助
  • 语种:中文;
  • 页:FZZW201824016
  • 页数:6
  • CN:24
  • ISSN:46-1068/S
  • 分类号:120-125
摘要
钾是影响烤烟品质的重要元素之一,为研究不同烤烟品质植烟区土壤的细菌群落,以期为提高烤烟品质提供依据,本研究通过对采取烤烟高钾植烟区的土样、烤烟低钾植烟区的土样,并通过宏基因组16SrDNA基因高通量测序,分析不同植烟区土壤细菌的群落结构,结果表明,高钾地区获得较多的有效序列。Shannon指数及Simpson指数共同表明高钾地区土样具有的细菌群落多样性最高。ACE指数与Chao1指数具有相同的趋势,都表明高钾地区土样具有的细菌群落丰富度最高。不同土壤样品细菌属水平的聚类分析显示把低钾地区的样品聚在一起,这些样品菌群分布比较相似。功能基因预测分析研究表明,高钾地区样品具有最多功能基因数量。
        Potassium is one of the important elements that affect the quality of flue-cured tobacco. In this study,the bacterial community in tobacco planting soil with different quality of flue-cured were studied in order to provide a basis for improving the quality of flue-cured tobacco. Taking the soil samples in high potassium flue-cured tobacco planting area and in low potassium flue-cured tobacco planting area, we analyzed the bacterial community structure of the soil from different tobacco-growing areas through the high throughput sequencing of metagenome 16 SrDNA gene. The results showed that more efficient sequence of the community structure was obtained from the high potassium area. Then Shannon index and Simpson index both indicated that the soil samples in the high potassium area had the highest diversity of bacterial community. The ACE index and the Chao1 index had the same trend, indicating that the soil samples in the high potassium region had the highest bacterial community richness. Cluster analysis of bacterial levels in different soil samples demonstrated that samples from low potassium regions were clustered together, and the distribution of these samples was similar.Functional gene prediction analysis suggested that samples with high potassium had the largest number of functional genes.
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