Metagenomics unveils microbial roles involved in metabolic network of flavor development in medium-temperature daqu starter

开胃菜 食品科学 化学 生物技术 基因组 生物 生化工程 计算生物学 风味 生物化学 工程类 基因
作者
Yang Yang,Songtao Wang,Zhen-Ming Lü,Qian Zhang,Li‐Juan Chai,Caihong Shen,Jin‐Song Shi,Zhenghong Xu
出处
期刊:Food Research International [Elsevier]
卷期号:140: 110037-110037 被引量:108
标识
DOI:10.1016/j.foodres.2020.110037
摘要

As a widely used Asian starter culture, the quality of daqu can significantly affect the organoleptic characteristics of the final products, yet the microbial metabolic network involved in flavor development remains unclear. This study aims to investigate that network based on the dynamics of physicochemical properties, microbial community, and volatile compounds in medium-temperature daqu (MT-daqu) during spontaneous fermentation. Analyses using the metagenomic data set facilitated the gene repertoire overview of this ecosystem, indicating that Lactobacillales (mainly Weissella, Lactobacillus, and Pediococcus), Mucorales (mainly Lichtheimia), and Eurotiales (mainly Aspergillus, Rasamsonia and Byssochlamys) were the potential predominant populations successively responsible for the production of lytic enzymes and flavor precursors/compounds in MT-daqu. Flavor-relevant pathways were found to exist in multiple species, but only bacteria showed the potential to participate in butane-2,3-diol (e.g. Weissella, Lactobacillus, and Staphylococcus) and butanoate (Thermoactinomyces) metabolism, and only fungi were potentially involved in biosynthesis of guaiacol (Byssochlamys) and 4-vinylguaiacol (Aspergillus). Furthermore, a combined analysis revealed that the acidic thermal environment present in early phases was mainly due to the catabolic activities of Lactobacillales and Lichtheimia, which could contribute to the effective self-domestication of microbiota. The study helps elucidate the different metabolic roles of microorganisms and disclose the formation mechanism of daqu's partial functions, namely providing various aromatic substances/precursors and enzymes.
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
星辰大海应助怡然的若风采纳,获得10
刚刚
NexusExplorer应助机智广缘采纳,获得10
刚刚
小二郎应助陈晨采纳,获得10
刚刚
多么完美的一天完成签到,获得积分10
1秒前
沙绮晴发布了新的文献求助10
1秒前
生命奋斗发布了新的文献求助10
1秒前
眼睛大的黑猫完成签到,获得积分10
1秒前
在水一方应助合适的柏柳采纳,获得10
1秒前
David完成签到,获得积分10
1秒前
自强不息发布了新的文献求助10
1秒前
JamesPei应助灵巧的大山采纳,获得30
3秒前
yaoyh_gc发布了新的文献求助10
3秒前
张雨露发布了新的文献求助10
3秒前
3秒前
柠檬发布了新的文献求助50
3秒前
4秒前
wqkkk发布了新的文献求助10
4秒前
都是发布了新的文献求助10
4秒前
了吟林26完成签到,获得积分10
5秒前
6秒前
在水一方应助忧伤的元菱采纳,获得10
7秒前
脑洞疼应助123采纳,获得10
7秒前
原子完成签到,获得积分10
7秒前
7秒前
莫等闲完成签到,获得积分10
8秒前
哈哈哈发布了新的文献求助10
8秒前
平常无颜发布了新的文献求助20
9秒前
领导范儿应助勤奋的半仙采纳,获得10
10秒前
11秒前
gaochi发布了新的文献求助10
11秒前
小马甲应助张雨露采纳,获得10
12秒前
荭筱葒完成签到,获得积分10
13秒前
15秒前
ming完成签到,获得积分10
15秒前
15秒前
15秒前
16秒前
机智广缘发布了新的文献求助10
16秒前
NexusExplorer应助都是采纳,获得10
17秒前
17秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Mission to Mao: Us Intelligence and the Chinese Communists in World War II 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 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 3304906
求助须知:如何正确求助?哪些是违规求助? 2938914
关于积分的说明 8490531
捐赠科研通 2613380
什么是DOI,文献DOI怎么找? 1427374
科研通“疑难数据库(出版商)”最低求助积分说明 662952
邀请新用户注册赠送积分活动 647574