Analysis of Bacterial Communities in White Clover Seeds via High-Throughput Sequencing of 16S rRNA Gene

被引:0
|
作者
Wenna Gao
Chunsheng Zheng
Yahong Lei
Weigang Kuang
机构
[1] Beijing Inspection and Quarantine Technology Center,College of Agronomy
[2] The Talents Exchange and Development Service Centre of Wuwei City,undefined
[3] Jiangxi Agricultural University,undefined
来源
Current Microbiology | 2019年 / 76卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
White clover widely cultivated in China is one of the most important perennial leguminous forages in temperate and subtropical regions. There is a large quantity of white clover seeds imported into China each year for demands of high-quality grass seeds. Seedborne diseases may cause significant economic losses. DNA sequencing technologies allow for the direct estimation of microbial community diversity, avoiding culture-based biases. Therefore, we used 16S rRNA gene sequencing to investigate the bacterial communities in white clover seeds collected from four different countries. The results showed that a total of 484,715 clean reads were obtained for further subsequent analysis. In total, 341, 340, 382, and 297 operational taxonomic units were obtained at 3% distance cutoff in DB, MB, TB, and XB samples, respectively. The richness indexes revealed that TB sample from Argentina had the highest bacterial richness in four samples. Our results demonstrated that Proteobacteria was the dominant phyla in MB, TB, and XB; however, Bacteroidetes was the dominant phyla in DB. The dominant genus of DB was Prevotella (11.9%), while Sphingomonas was the major genus of MB (46.9%), TB (55.08%), and XB (47.2%) samples. These results provide useful information for seedborne diseases and transmission of bacteria from seed to seedling.
引用
收藏
页码:187 / 193
页数:6
相关论文
共 50 条
  • [1] Analysis of Bacterial Communities in White Clover Seeds via High-Throughput Sequencing of 16S rRNA Gene
    Gao, Wenna
    Zheng, Chunsheng
    Lei, Yahong
    Kuang, Weigang
    CURRENT MICROBIOLOGY, 2019, 76 (02) : 187 - 193
  • [2] Bacterial Communities in Serpa Cheese by Culture Dependent Techniques, 16S rRNA Gene Sequencing and High-throughput Sequencing Analysis
    Goncalves, Maria Teresa P.
    Benito, Maria Jose
    Cordoba, Maria de Guia
    Egas, Conceicao
    Merchan, Almudena V.
    Galvan, Ana I.
    Ruiz-Moyano, Santiago
    JOURNAL OF FOOD SCIENCE, 2018, 83 (05) : 1333 - 1341
  • [3] Impact of floods and landslides on rhizosphere bacterial communities: a high-throughput 16S rRNA gene sequencing study
    Haseena Abdulkader
    Kulkarni Surendra Gopal
    Sandeep Sasidharan
    Environmental Science and Pollution Research, 2024, 31 (44) : 56236 - 56252
  • [4] High-throughput sequencing of 16S rRNA Gene Reveals Substantial Bacterial Diversity on the Municipal Dumpsite
    Mwaikono, Kilaza Samson
    Maina, Solomon
    Sebastian, Aswathy
    Schilling, Megan
    Kapur, Vivek
    Gwakisa, Paul
    BMC MICROBIOLOGY, 2016, 16
  • [5] High-throughput sequencing of 16S rRNA Gene Reveals Substantial Bacterial Diversity on the Municipal Dumpsite
    Kilaza Samson Mwaikono
    Solomon Maina
    Aswathy Sebastian
    Megan Schilling
    Vivek Kapur
    Paul Gwakisa
    BMC Microbiology, 16
  • [6] Template Preparation Affects 16S rRNA High-Throughput Sequencing Analysis of Phyllosphere Microbial Communities
    Tian, Xiaoyan
    Shi, Yu
    Geng, Lili
    Chu, Haiyan
    Zhang, Jie
    Song, Fuping
    Duan, Jiangyan
    Shu, Changlong
    FRONTIERS IN PLANT SCIENCE, 2017, 8
  • [7] Diversity of microbial communities in hot springs of Sri Lanka as revealed by 16S rRNA gene high-throughput sequencing analysis
    Sadeepa, Dilini
    Sirisena, Kosala
    Manage, Pathmalal M.
    GENE, 2022, 812
  • [8] Analysis of microbiota in Hainan Yucha during fermentation by 16S rRNA gene high-throughput sequencing
    Hu, Nan
    Lei, Ming
    Zhao, Xiuli
    Wang, Yuanyifei
    Zhang, Yan
    Wang, Shuo
    JOURNAL OF FOOD PROCESSING AND PRESERVATION, 2020, 44 (07)
  • [9] 16S rRNA gene high-throughput sequencing data mining of microbial diversity and interactions
    Ju, Feng
    Zhang, Tong
    APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 2015, 99 (10) : 4119 - 4129
  • [10] 16S rRNA gene high-throughput sequencing data mining of microbial diversity and interactions
    Feng Ju
    Tong Zhang
    Applied Microbiology and Biotechnology, 2015, 99 : 4119 - 4129