Identification of dominant microbes from traditional Chinese medicine Pinelliae Rhizoma Fermentata

黑曲霉 酵母 生物 发酵 细菌 枯草芽孢杆菌 16S核糖体RNA 微生物学 短小芽孢杆菌 食品科学 生物化学 遗传学
作者
Jiajia Guo,Ming-Sheng Su,Liyuan Wang,Jia-Xiu Ren,Ming Yang,Xiaomei Xie
出处
期刊:China journal of Chinese materia medica [China Journal of Chinese Materia Medica]
被引量:3
标识
DOI:10.4268/cjcmm20161614
摘要

To investigate the microbial species, amount changes as well as the isolation and identification of domain strains at different fermentation time points of Pinelliae Rhizoma Fermentata, and provide basis for exploring the mechanism of Pinelliae Rhizoma Fermentata processing. Five samples were chosen at the time points (0, 18, 36, 54, 72 h) of Pinelliae Rhizoma Fermentata processing. Bacteria, mold and yeast from the samples were cultured; their colonies were counted, and the dominant strains were isolated and purified. The dominant bacteria and dominant fungi were identified by 16S rDNA and 26S rDNA sequencing respectively. The results showed that the bacteria count was low with slow and smooth changes in the fermentation process;while mold and yeast grew dramatically after 54 h culturing and reached 1×107 CFU•mL⁻¹ at the end of fermentation. Through the NCBI homology alignment and phylogenetic tree construction, the dominant bacteria were identified as Streptomyces sp., Bacillus pumilus, B. subtilis, B. aryabhattai and other Bacillus sp.; the dominant yeast was identified as Meyerozyma guilliermondii; the dominant mold were identified as Paecilomyces variotii, Byssochlamys spectabilis, and Aspergillus niger in the processing of Pinelliae Rhizoma Fermentata. The results indicated that multiple microbe species, especially yeast and mold, played a role in the fermentation processing of Pinelliae Rhizoma Fermentata. M. guilliermondii, P. variotii, P. variotii and A. niger and Bacillus sp. can be the crucial factors in the processing of Pinelliae Rhizoma Fermentata.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
lsq108发布了新的文献求助10
刚刚
刚刚
执着的无色完成签到,获得积分10
2秒前
aisaka完成签到 ,获得积分10
2秒前
摸鱼人发布了新的文献求助10
2秒前
狂野的小露喳完成签到,获得积分10
3秒前
jiangcai发布了新的文献求助10
4秒前
sgssm完成签到,获得积分10
4秒前
李剑鸿发布了新的文献求助1000
5秒前
无花果应助哎呀妈呀采纳,获得10
5秒前
烟花应助sci小神童采纳,获得10
5秒前
帅气哈密瓜完成签到,获得积分20
6秒前
范同学发布了新的文献求助10
6秒前
orixero应助毛竹采纳,获得10
8秒前
科研通AI2S应助fpaper采纳,获得10
9秒前
科研通AI2S应助搞怪的流沙采纳,获得10
11秒前
科目三应助科研通管家采纳,获得10
12秒前
穆紫应助科研通管家采纳,获得10
12秒前
12秒前
科研通AI2S应助科研通管家采纳,获得10
12秒前
CodeCraft应助科研通管家采纳,获得10
12秒前
无花果应助科研通管家采纳,获得10
12秒前
香蕉觅云应助科研通管家采纳,获得10
12秒前
科研通AI2S应助科研通管家采纳,获得10
12秒前
Orange应助科研通管家采纳,获得10
12秒前
orixero应助科研通管家采纳,获得10
12秒前
充电宝应助科研通管家采纳,获得10
12秒前
不配.应助科研通管家采纳,获得20
12秒前
研友_VZG7GZ应助科研通管家采纳,获得10
12秒前
12秒前
12秒前
14秒前
李健的小迷弟应助Lrrr采纳,获得10
14秒前
15秒前
背完单词好睡觉完成签到 ,获得积分10
15秒前
frank101ljh发布了新的文献求助10
16秒前
天天向上发布了新的文献求助10
18秒前
哎呀妈呀发布了新的文献求助10
19秒前
21秒前
yy完成签到,获得积分10
22秒前
高分求助中
Sustainability in Tides Chemistry 2800
Shape Determination of Large Sedimental Rock Fragments 2000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
XAFS for Everyone 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3132372
求助须知:如何正确求助?哪些是违规求助? 2783706
关于积分的说明 7763007
捐赠科研通 2438697
什么是DOI,文献DOI怎么找? 1296394
科研通“疑难数据库(出版商)”最低求助积分说明 624562
版权声明 600696