摘要
以贵州传统特色民族食品苗家白酸汤为研究对象,采用Illumina MiSeq高通量测序技术对白酸汤中微生物的群落组成及多样性分析;结合传统可培养技术对白酸汤中优势微生物进行筛选,以糯米粉为发酵底物,模拟白酸汤发酵试验筛选发酵性能较好的优势菌株,并对其进行分子生物学鉴定。结果表明:白酸汤中主要优势微生物为乳酸杆菌属(Lactobacillus)、醋酸杆菌属(Acetobacter)、克鲁维酵母属(Kluyveromyces);共筛选到发酵性能较好的优势菌株20株,其中干酪乳杆菌4株,副干酪乳杆菌2株,细菌菌株2株,酿酒酵母8株、克鲁维酵母2株、毕赤酵母2株。其中干酪乳杆菌MY4-1产酸量最高,达1.392±0.024 g/100 g;酿酒酵母YJ24菌株降糖率达72.84%;干酪乳杆菌TLM3-2、马克斯克鲁维酵母YJ1、曼氏毕赤酵母YX5等菌株感官得分较高。
The microbial community structure and diversity in Rice Acid Soup of traditional ethnic food from Guizhou,and its starter culture were analyzed by Illumina MiSeq high-throughput sequencing;That combined with traditional cultivable technology to screen the dominant microorganisms,using glutinous rice flour as the fermentation substrate,simulated the fermentation test to screen the dominant strains with better fermentation performance in Rice Acid Soup,and conduct molecular biological identification.The results showed that the main dominant microorganisms in Rice Acid Soup were Lactobacillus,Acetobacter,and Kluyveromyces;a total of20 dominant strains with better fermentation performance were screened,including 4 strains of Lactobacillus casei,2 strains of Lactobacillus paracasei,2 strains of Bacterium,8 strains of Saccharomyces cerevisiae,2 strains of Kluyveromyces marxianus,and 2 strains of Pichia.Among them,L.casei MY4-1 has the highest acid production,reaching 1.392±0.024 g/100 g;Saccharomyces cerevisiae YJ24 strain has a sugar reduction rate of72.84%;L.casei TLM3-2,Kluyveromyces marxianus YJ1,and Pichia manshurica YX5 Other strains have higher sensory scores.
作者
肖甜甜
冯子娟
邱树毅
胡鹏刚
吴鑫颖
XIAO Tian-tian;FENG Zi-juan;QIU Shu-yi;HU Peng-gang;WU Xin-ying(School of Liquor and Food Engineering,Guizhou University,Guiyang Guizhou 550025,China;Guizhou Key Lab of Fermentation Engineering and Biological Pharmacy,Guiyang Guizhou 550025,China)
出处
《食品与发酵科技》
CAS
2021年第1期1-11,45,共12页
Food and Fermentation Science & Technology
基金
贵州省科技计划项目(黔科合支撑[2020]1Y008号)。
关键词
白酸汤
微生物群落结构
高通量测序
优势微生物
rice acid soup
microbial community structure
high-throughput sequencing
dominant microorganisms