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. 2021 Dec 2:12:784651.
doi: 10.3389/fmicb.2021.784651. eCollection 2021.

The Fungal Communities and Flavor Profiles in Different Types of High-Temperature Daqu as Revealed by High-Throughput Sequencing and Electronic Senses

Affiliations

The Fungal Communities and Flavor Profiles in Different Types of High-Temperature Daqu as Revealed by High-Throughput Sequencing and Electronic Senses

Wenchao Cai et al. Front Microbiol. .

Abstract

Polymicrobial co-fermentation is among the distinct character of high-temperature Daqu. However, fungal communities in the three types of high-temperature Daqu, namely, white high-temperature Daqu, black high-temperature Daqu, and yellow high-temperature Daqu, are yet to be characterized. In this study, the fungal diversity, taste, and aroma profiles in the three types of high-temperature Daqu were investigated by Illumina MiSeq high-throughput sequencing, electronic tongue, and electronic nose, respectively. Ascomycota and Basidiomycota were detected as the absolute dominant fungal phylum in all types of high-temperature Daqu samples, whereas Thermomyces, Thermoascus, Aspergillus, Rasamsonia, Byssochlamys, and Trichomonascus were identified as the dominant fungal genera. The fungal communities of the three types of high-temperature Daqu differed significantly (p < 0.05), and Thermomyces, Thermoascus, and Monascus could serve as the biomarkers in white high-temperature Daqu, black high-temperature Daqu, and yellow high-temperature Daqu, respectively. The three types of high-temperature Daqu had an extremely significant difference (p < 0.01) in flavor: white high-temperature Daqu was characterized by sourness, bitterness, astringency, richness, methane, alcohols, ketones, nitrogen oxides, and sulfur organic compounds; black high-temperature Daqu was characterized by aftertaste-A, aftertaste-B, methane-aliph, hydrogen, and aromatic compounds; and yellow high-temperature Daqu was characterized by saltiness, umami, methane, alcohols, ketones, nitrogen oxides, and sulfur organic compounds. The fungal communities in the three types of high-temperature Daqu were significantly correlated with taste but not with aroma, and the aroma of high-temperature Daqu was mainly influenced by the dominant fungal genera including Trichomonascus, Aspergillus, Thermoascus, and Thermomyces. The result of the present study enriched and refined our knowledge of high-temperature Daqu, which had positive implications for the development of traditional brewing technique.

Keywords: Illumina MiSeq high-throughput sequencing; electronic nose; electronic tongue; fungal diversity; high-temperature Daqu; sauce-flavor Baijiu.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Boxplots of α-diversity indexes. (A) Number of observed species; (B) Shannon diversity index.
FIGURE 2
FIGURE 2
Fungal composition of HTD samples at the level of phylum (A) and genus (B).
FIGURE 3
FIGURE 3
Prevalence (A) and average relative abundance (B) of OTUs in HTD samples.
FIGURE 4
FIGURE 4
PCoA score plots based on Bray–Curtis distance (A); dendrogram based on Bray–Curtis distance calculated using Mahalanobis distances and MANOVA (B); within-group variations of the three types of HTD calculated on the basis of Bray–Curtis distance (C). Significant difference is represented by *** (0.0001 ≤ p < 0.001), ** (0.001 ≤ p < 0.01), and ns (p ≥ 0.05), respectively. Identification of discriminant taxa among the three types of HTD by LEfSe: cladogram of the fungal communities (D). Horizontal bar chart showing discriminant taxa (E).
FIGURE 5
FIGURE 5
Box plot for taste profiles of the three types of HTD samples (A). Significant difference is represented by **** (p < 0.0001). PCA biplot based on the taste profiles of HTD samples (B). Procrustes analysis of the correlation between dominate fungal genera and aroma profiles (M2 = 0.889, p = 0.079, 999 permutations) (C).
FIGURE 6
FIGURE 6
Box plot for aroma profiles of the three types of HTD samples (A). Significant difference is represented by **** (p < 0.0001), *** (0.0001 ≤ p < 0.001), and ** (0.001 ≤ p < 0.01), respectively. PCA biplot based on the aroma profiles of HTD samples (B). Procrustes analysis of the correlation between dominate fungal genera and aroma profiles (M2 = 0.828, p = 0.007, 999 permutations) (C). Heatmap depicting the Spearman’s rank correlation between dominant fungal genera and E-nose sensors. Significant difference is represented by * (p < 0.05) (D).

References

    1. Bal J., Yun S.-H., Yeo S.-H., Kim J.-M., Kim B.-T., Kim D.-H. (2017). Effects of initial moisture content of Korean traditional wheat-based fermentation starter nuruk on microbial abundance and diversity. Appl. Microbiol. Biotechnol. 101 2093–2106. 10.1007/s00253-016-8042-2 - DOI - PubMed
    1. Boyce A., Walsh G. (2021) “Investigation of the potential suitability of the enzymes produced by the fungus thermoascus aurantiacus for the pretreatment of lignocellulose for bioethanol production,” in The 20th European Biomass Conference and Exhibition. Milan. 1658−1661. 10.5071/20thEUBCE2012-3DV.1.23 - DOI
    1. Cai W., Tang F., Guo Z., Guo X., Zhang Q., Zhao X., et al. (2020b). Effects of pretreatment methods and leaching methods on jujube wine quality detected by electronic senses and HS-SPME–GC–MS. Food Chem. 330 127330. 10.1016/j.foodchem.2020.127330 - DOI - PubMed
    1. Cai W., Tang F., Shan C., Hou Q., Zhang Z., Dong Y., et al. (2020a). Pretreatment methods affecting the color, flavor, bioactive compounds, and antioxidant activity of jujube wine. Food Sci. Nutr. 8 4965–4975. 10.1002/fsn3.1793 - DOI - PMC - PubMed
    1. Cai W., Wang Y., Hou Q., Zhang Z., Tang F., Shan C., et al. (2021d). PacBio sequencing combined with metagenomic shotgun sequencing provides insight into the microbial diversity of Zha-chili. Food Biosci. 40:100884. 10.1016/j.fbio.2021.100884 - DOI

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