食品科学 ›› 2021, Vol. 42 ›› Issue (18): 111-118.doi: 10.7506/spkx1002-6630-20200916-207

• 生物工程 • 上一篇    下一篇

基于高通量测序的窖泥原核微生物群落结构及其理化因子相关性分析

张明珠,吴学凤,穆冬冬,许博阳,孙伟,蒋俊树,闫晓明,郑志,姜绍通,李兴江   

  1. (1.合肥工业大学食品与生物工程学院,安徽 合肥 230009;2.安徽文王酿酒股份有限公司,安徽 临泉 236400;3.安徽省农业科学院,安徽 合肥 230001;4.安徽省食品药品检验研究院,安徽 合肥 230051)
  • 发布日期:2021-09-29
  • 基金资助:
    “十三五”国家重点研发计划重点专项(2018YFD0400404;2018YFD0400601); 安徽省重大科技专项(201907d06020004;18030701146;201903a06020034;201903a06020007;18030701154)

High Throughput Sequencing-based Analysis of Prokaryotic Community Structure in Chinese Liquor Fermentation Pit Muds and Its Correlation with Physicochemical Indexes

ZHANG Mingzhu, WU Xuefeng, MU Dongdong, XU Boyang, SUN Wei, JIANG Junshu, YAN Xiaoming, ZHENG Zhi, JIANG Shaotong, LI Xingjiang   

  1. (1. School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China;2. Anhui Wenwang Brewery Co. Ltd., Linquan 236400, China; 3. Anhui Academy of Agricultural Sciences, Hefei 230001, China; 4. Anhui Institute of Food and Drug Inspection, Hefei 230051, China)
  • Published:2021-09-29

摘要: 为揭示各项理化特性对窖泥细菌群落结构的影响,分析不同年份窖泥的理化因子差异及与其原核微生物群落的相关性。结果表明:20 a窖池池壁和池底窖泥中的水分、pH值、铵态氮及有效磷和速效钾的含量均显著高于2 a窖泥,但其钙含量却显著低于2 a窖泥。30 a池壁和池底窖泥与2 a相比,除水分含量和腐殖质外,其他指标均存在显著差异。理化因子与菌群的相关性分析发现,水分含量、pH值和铵态氮对菌群的影响最为显著,与Lactobacillus呈极显著负相关(P<0.01),与Aminobacterium、Syntrophomonas和Sedimentibacter等6 个菌属呈显著正相关(P<0.05)。新窖泥中不同的微生物菌群在长期往复的发酵过程中相互作用,优势菌属逐步占据主导低位并达到动态平衡,形成优质窖泥。本实验系统研究窖泥原核微生物群落多样性在窖泥老熟及退化过程中的变化趋势,借助微生物和理化因子之间的相关性分析,为窖池的养护机制及优质窖泥的制作提供一定理论依据。

关键词: 原核微生物群落;窖泥;理化因子;Pearson相关性;高通量测序

Abstract: In order to uncover the influence of various physicochemical indicators on the microbial community structure in Chinese liquor fermentation pit muds, the difference in the physicochemical properties of pit muds of different ages and their correlation with the prokaryotic community structure were studied. The results showed that the contents of moisture, pH, ammonium nitrogen, available phosphorus and available potassium in 20-year-old pit bottom and wall muds were significantly higher than those in the 2-year-old pit muds, while the calcium content was significantly lower than that in the 2-year-old pit muds. However, there was no significant difference in any physicochemical indexes except moisture and humus contents between the 30-year-old pit bottom and wall muds and those aged two years. The correlation analysis indicated that moisture content, pH and ammonium nitrogen content had the most prominent effect on the microbial flora, which were significantly negatively correlated with Lactobacillus (P < 0.01), and significantly positively correlated with six bacterial genera including Aminobacterium, Syntrophomonas and Sedimentibacter (P < 0.05). The various microbial floras in the young pit muds interacted with each other during long-term repeated fermentation; some microorganisms gradually became dominant and the microflora structure finally reached a dynamic balance, resulting in the formation of high-quality pit mud. The results of this study will provide theoretical support for the quality maintenance of pit mud and the production of high-quality pit mud.

Key words: prokaryotic community; pit mud; physicochemical indexes; Pearson correlation; high-throughput sequencing

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