食品与发酵工业 >

2021 , Vol. 47 >Issue 3: 36 - 42

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.025193

研究报告

霉豆渣细菌多样性解析及基因功能预测

  • 尚雪娇 ,
  • 方三胜 ,
  • 朱媛媛 ,
  • 赵慧君 ,
  • 郭壮
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  • 湖北文理学院 食品科学技术学院,鄂西北传统发酵食品研究所,湖北 襄阳,441053
硕士研究生(郭壮副教授为通讯作者,E-mail:guozhuang1984@163.com)

收稿日期: 2020-07-26

  修回日期: 2020-09-02

  网络出版日期: 2021-03-08

基金资助

湖北省自然科学基金计划项目(2016CFB527)

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Bacterial diversity and prediction of gene function in Meitauza

  • SHANG Xuejiao ,
  • FANG Sansheng ,
  • ZHU Yuanyuan ,
  • ZHAO Huijun ,
  • GUO Zhuang
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  • Northwest Hubei Research Institute of Traditional Fermented Food, College of Food Science and Technology, Hubei University of Arts and Science, Xiangyang 441053, China

Received date: 2020-07-26

  Revised date: 2020-09-02

  Online published: 2021-03-08

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摘要

采用高通量测序技术解析霉豆渣中细菌多样性,通过PICRUSt软件进一步对细菌类群的基因功能进行了预测。结果发现:霉豆渣中细菌主要隶属于Proteobacteria(变形菌门,46.50%)、Firmicutes(硬壁菌门,38.80%)、Bacteroidetes(拟杆菌门,12.62%)和Actinobacteria(放线菌门,1.81%);优势菌属分别为Acinetobacter(不动杆菌属,17.27%)、Pseudomonas(假单胞菌属,10.38%)、Brevundimonas(短波单胞菌属,4.03%)、Stenotrophomonas(寡养单胞菌属,3.05%)、Comamonas(丛毛单胞菌属,2.52%),Enterococcus(肠球菌属,1.09%)、Bacillus(芽孢杆菌属,11.60%)、Brevibacillus(短芽孢杆菌属,2.41%)、Lysinibacillus(赖氨酸芽胞杆菌属,21.15%),Wautersiella(沃特氏菌属,8.68%)、Sphingobacterium(鞘氨醇杆菌属,2.17%)和Nocardia(诺片氏菌属,1.36%);有8 个OTU(operational taxonoxic unit)在所有的霉豆渣样品中都存在,占OTU总数的0.59%,包含的序列数占总序列数的9.35%;有711 个OTU仅在1个霉豆渣样品中存在,占OTU总数的52.47%,包含的序列数分别占总序列数的6.34%;PICRUSt分析发现霉豆渣中细菌类群具有较强的碳水化合物的运输与代谢和氨基酸的转运与代谢。由此可见,霉豆渣中蕴含了丰富的微生物群系,且不同样品间细菌类群的差异较大。

关键词： 霉豆渣; 高通量测序; 细菌多样性; 基因功能预测

本文引用格式

尚雪娇 , 方三胜 , 朱媛媛 , 赵慧君 , 郭壮 . 霉豆渣细菌多样性解析及基因功能预测[J]. 食品与发酵工业, 2021 , 47(3) : 36 -42 . DOI: 10.13995/j.cnki.11-1802/ts.025193

Abstract

As a characteristic fermented soybean product in Hubei, Hunan and Western Jiangxi, Meitauza is naturally fermented from soybean residue. However, there are few reports on its bacterial diversity. In this study, high throughput sequencing technology was used to analyze the bacterial diversity in Meitauza, and the gene function of bacterial community was further predicted by PICRUSt software. The results showed that the bacteria in the Meitauza were mainly subordinate to Proteobacteria (46.50%), Firmicutes (38.80%), Bacteroidetes (12.62%) and Actinobacteria (1.81%); the dominant bacteria genera were Acinetobacter (17.27%), Pseudomonas (10.38%), Brevundimonas (4.03%), Stenotrophomonas (3.05%), Comamonas (2.52%), Enterococcus (1.09%), Bacillus (11.60%), Brevibacillus (2.41%), Lysinibacillus (21.15%), Wautersiella (8.68%), Sphingobacterium (2.17%) and Nocardia (1.36%); eight operational taxonomic units(OTUs) were present in all samples of Meitauza, accounting for 0.59% of the total OTUs and 9.35% of the total sequences; 711 OTUs were only present in one Meitauza sample, accounting for 52.47% of the total OTUs and 6.34% of the total sequences, respectively. PICRUSt analysis revealed that bacterial groups in Meitauza had strong ability in transport and metabolism of carbohydrates and amino acids. Abundant microorganism communities were found in Meitauza and significant differences exist among bacterial communities from different samples.

Key words： Meitauza; high throughput sequencing; bacterial diversity; gene functional prediction

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