Analysis of the Microbiota in Naturally Fermented Cabbage of Northeastern Part of China by High-throughput Sequencing of the V3-V4 Regions of the 16S rRNA Gene

被引:7
|
作者
Li, Xinwei [1 ]
Yue, Xiqing [1 ]
机构
[1] Shenyang Agr Univ, Food Sci Coll, Shenyang 110161, Liaoning Provin, Peoples R China
基金
中国国家自然科学基金;
关键词
Fermented cabbage; Beta diversity analysis; Microbiota; Pyrosequencing; 16S rRNA; BACTERIAL COMMUNITIES; MANAGEMENT;
D O I
10.17957/IJAB/15.0219
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
In order to explore the microbiota in naturally fermented cabbage of northeastern part of China, the sequencing of the V3-V4 regions of the 16S rRNA gene of the microbiota in naturally fermented cabbage of northeastern part of China was made in this experiment by using the 454 FLX+ platform. A total of 302,327 valid sequences of 16 samples were obtained by 454 pyrosequencing. Evaluation of the richness of microflora of the samples by calculating Chao1 index showed that the microbiota of the samples from Daqing presented a higher richness. Beta diversity analysis showed species overlap with a very low content in the samples from Heilongjiang, Jilin and Liaoning. Heat-map showed significant differences among the dominant bacteria of different provinces. The results of sample analysis based on microbiota showed that the Lactobacilli content of the samples from Daqing, Heihe and Songyuan was more than 50%, and that from Heihe was up to 69.6%. In addition, Wohlfahrtiimonas was found for the first time in fermented food in this experiment, revealing the security risks of traditional methods. (C) 2016 Friends Science Publishers
引用
收藏
页码:1153 / 1158
页数:6
相关论文
共 50 条
  • [31] Analysis of the Bacterial Communities in Two Liquors of Soy Sauce Aroma as Revealed by High-Throughput Sequencing of the 16S rRNA V4 Hypervariable Region
    Tang, Jing
    Tang, Xiaoxin
    Tang, Ming
    Zhang, Ximin
    Xu, Xiaorong
    Yi, Yin
    BIOMED RESEARCH INTERNATIONAL, 2017, 2017
  • [32] Bacterial diversity of the Colombian fermented milk "Suero Costeno" assessed by culturing and high-throughput sequencing and DGGE analysis of 16S rRNA gene amplicons
    Edith Motato, Karina
    Milani, Christian
    Ventura, Marco
    Elena Valencia, Francia
    Ruas-Madiedo, Patricia
    Delgado, Susana
    FOOD MICROBIOLOGY, 2017, 68 : 129 - 136
  • [33] Evaluation of composition and individual variability of rumen microbiota in yaks by 16S rRNA high-throughput sequencing technology
    Guo, Wei
    Li, Ying
    Wang, Lizhi
    Wang, Jiwen
    Xu, Qin
    Yan, Tianhai
    Xue, Bai
    ANAEROBE, 2015, 34 : 74 - 79
  • [34] Intestinal microbiota dataset revealed by high-throughput sequencing of 16S rRNA in children with anemia in southern Peru
    Pacheco-Aranibar, Jani
    Diaz-Rodriguez, Karla
    Zapana-Begazo, Rosemary
    Criollo-Arteaga, Steven
    Villanueva-Salas, Jose A.
    Bernabe-Ortiz, Julio C.
    DATA IN BRIEF, 2024, 55
  • [35] 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
  • [36] 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
  • [37] Optimization of a method for diversity analysis of anammox bacteria using high-throughput sequencing of 16S rRNA gene amplicon
    Wen, Xiaomei
    Hong, Yiguo
    Wu, Jiapeng
    Wang, Yu
    JOURNAL OF MICROBIOLOGICAL METHODS, 2020, 178
  • [38] A comprehensive analysis of the microbial diversity in natural and engineered ecosystems based on high-throughput sequencing of 16S rRNA gene
    Xia, Yu
    He, Xuwen
    Feng, Zeshen
    Zhang, Qing
    Yang, Hongying
    INTERNATIONAL BIODETERIORATION & BIODEGRADATION, 2019, 140 : 160 - 168
  • [39] Investigation to Characterize the Swine Gut Microbiota at Different Growth Stages Using 16s Rrna Gene High-Throughput Sequencing Data
    Cha, Jihye
    Choi, Soyoung
    Lim, Jin A.
    Jung, Seul A.
    JOURNAL OF ANIMAL SCIENCE, 2023, 101 : 666 - 667
  • [40] High-throughput 16S rRNA gene sequencing reveals alterations of intestinal microbiota in myalgic encephalomyelitis/chronic fatigue syndrome patients
    Fremont, Marc
    Coomans, Danny
    Massart, Sebastien
    De Meirleir, Kenny
    ANAEROBE, 2013, 22 : 50 - 56