2014
DOI: 10.1016/j.foodres.2014.05.017
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Long-term batch brewing accumulates adaptive microbes, which comprehensively produce more flavorful Chinese liquors

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Cited by 46 publications
(43 citation statements)
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“…Besides differences in numbers of samples and sequence depth, this detection may be attributed to the V4 variable region of the 16S rRNA gene used in this study, which displayed the highest number of correctly classified sequences compared to the numbers for other variable regions (33). Moreover, Firmicutes, Euryarchaeota, Bacteroidetes, Proteobacteria, and Actinobacteria have been identified as abundant phyla in FPMs (7,8,10), which was corroborated by our study.…”
Section: Discussionsupporting
confidence: 81%
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“…Besides differences in numbers of samples and sequence depth, this detection may be attributed to the V4 variable region of the 16S rRNA gene used in this study, which displayed the highest number of correctly classified sequences compared to the numbers for other variable regions (33). Moreover, Firmicutes, Euryarchaeota, Bacteroidetes, Proteobacteria, and Actinobacteria have been identified as abundant phyla in FPMs (7,8,10), which was corroborated by our study.…”
Section: Discussionsupporting
confidence: 81%
“…Overall, FPM harbored a complex microbiota, because the high Shannon index (5.61 to 6.96) detected in highquality FPMs (data not shown) was comparable to that (5 to 7) in some soils at a sequencing depth of 4,000 to 9,000 reads (32). Compared to about 16 phyla detected in FPMs in previous studies (7,8), 33 phyla detected in this work might expand our understanding of the phylogenetic status of an enormous number of uncultured microbes in this ecosystem. Besides differences in numbers of samples and sequence depth, this detection may be attributed to the V4 variable region of the 16S rRNA gene used in this study, which displayed the highest number of correctly classified sequences compared to the numbers for other variable regions (33).…”
Section: Discussionmentioning
confidence: 70%
“…1 lanes B, D, F and H), indicating that these species did not produce detectable caproic acid. Species of C. kluyveri, C. aminovalericum, C. celerecrescens and C. tepidiprofundi were only detected in ES enrichments, and confirmed their (except for C. kluyveri) inability or weak ability to produce caproic acid (Buckel et al, 1994;Slobodkina et al, 2008;Wang et al, 2014;Weimer and Stevenson, 2012). In conclusion, the PCR-DGGE approach confirmed that C. kluyveri was the main caproic acid-producing clostridia in all three distilleries.…”
Section: Direct Identification Of the Caproic Acid-producing Clostridsupporting
confidence: 56%
“…These microorganisms originate from the raw materials, Daqu (Wang et al, 2011;Wang and Xu, 2015) and the pit mud. Compared to the Daqu starter, pit mud mainly harbors a highly complex prokaryotic microbiota, with the main species belonging to the bacterial classes of Clostridia, Bacteroidia, Bacilli and two archaeal classes containing Methanobacteria and Methanomicrobia (Ding et al, 2013;Tao et al, 2014;Wang et al, 2014;Zheng et al, 2013). The microorganisms inhabiting the pit mud, especially the obligate anaerobic clostridia, synthesize important flavor compounds such as caproic acid and ethyl caproate that determine the quality of CSAL (Ding et al, 2013;Fan and Qian, 2006;Wang et al, 2014;Zheng et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
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