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• Bioengineering •     Next Articles

Analysis of structure diversity and spatial heterogeneity of fungal community in pit mud at different ages based on high-throughput sequencing technology

Hai-Wei Ren1, 1, 1,Zao-ning CAI 1, 1, 1, 1   

  • Received:2023-03-30 Revised:2023-09-25 Online:2024-01-25 Published:2024-02-02

Abstract: The fungal community structure, the relationship between fungi flora and physicochemical factors, the prediction of fungal function in the 10-year-old and 50-year-old pits of Jinhui Liquor Co. Ltd for different spatial positions were studied by using the methods of Illumina NovaSeq high-throughput sequencing, Redundancy analysis and Fungi Functional Guild. The results showed that with the increase of the pit depth, the diversity and richness of fungi in the pit mud at different positions of the 10-year-old pit decreased, and the diversity and richness of fungi in the pit mud at different positions of the 50-year-old pit decreased first and then increased. With the increase of cellar age, the diversity and richness of fungi in the pit wall mud decreased, while the diversity and richness of fungi in the pit bottom mud increased. In all pit mud samples, 21 phyla and 520 genera of fungi were detected, including 4 dominant phyla and 14 dominant genera. Acccording to RDA analysis, Fusarium,Saccharomyces, Aspergillus and Monascus are positively correlated with the content of water, humus, k+ and Ca2+, while Cladosporium and Vishniacozyma are positively correlated with pH value. The results of functional prediction showed that there were seven main fungal nutrition modes of Jinhui pit mud, including saprophytic nutrition type and pathology-saprophy-symbiotic nutrition type, there were eleven functional groups including 4 single functional groups and 7 mixed functional groups. Through the systematic analysis of fungal community diversity in pit mud at different pit ages and spatial locations, the theoretical basis was laid for clarifying the structure and spatial distribution of fungus community in the Jinhui pit mud in Gansu Province.

Key words: Chinese strong-flavor Baijiu, Pit mud, High throughput sequencing, Fungal community, Redundancy analysis, Function prediction

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