PDF
Abstract
Next-generation sequencing technologies have significantly advanced our comprehension of microbial diversity and ecological roles within fermented foods. However, culture-based approaches remain essential for a comprehensive understanding of these complex ecosystems. This study integrated culture-dependent and culture-independent techniques to elucidate the microbial diversity and flavor-forming potential of fungi in high-temperature Daqu, a critical solid-state fermentation process in Maotai-flavor Baijiu production. Through iterative cultivation strategies, we successfully isolated and identified 660 pure eukaryotic colonies, representing 33 genera and 58 species, from Daqu samples. This approach significantly improved cultivation efficiency from 20.7 to 63.2%. In addition, despite the optimization of ITS rRNA primer sets to enhance the detection of eukaryotic microorganisms, we still identified 21 genera (comprising 27 species) that were culturable but not detected by high-throughput sequencing analysis. Fermentation experiments demonstrated the robust growth and substantial ethyl acetate production potential of these fungal species, particularly Kluyveromyces marxianus, which exhibited exceptional performance at elevated temperatures (45 °C). This study advanced culture-dependent techniques to improve the isolation of eukaryotic microorganisms from Daqu. These findings highlight the importance of culture-based approaches in characterizing microbial diversity and function.
Keywords
Eukaryotic microorganism
/
Microbial cultivability
/
Culturable but not sequenced
/
High-temperature Daqu
/
High-throughput sequencing
Cite this article
Download citation ▾
Yumei Wu, Lijie Zhang, Yan Xu.
Improved fungal collection supports the identification and function evaluation of culturable but not sequenced (CBNS) fungi in high-temperature Daqu.
Systems Microbiology and Biomanufacturing, 2025, 5(3): 1128-1141 DOI:10.1007/s43393-025-00368-x
| [1] |
Leech J, Cabrera-Rubio R, Walsh AM, Macori G, Walsh CJ, Barton W, Finnegan L, Crispie F, O’Sullivan O, Claesson MJ. Fermented-food metagenomics reveals substrate-associated differences in taxonomy and health-associated and antibiotic resistance determinants. MSystems. 2020;5(6). https://doi.org/10.1128/msystems.00522-20.
|
| [2] |
Walsh AM, Leech J, Huttenhower C, Delhomme-Nguyen H, Crispie F, Chervaux C, Cotter PD. Integrated molecular approaches for fermented food Microbiome research. FEMS Microbiol Rev. 2023;47(2). https://doi.org/10.1093/femsre/fuad001.
|
| [3] |
NicholsD, CahoonN, TrakhtenbergE, PhamL, MehtaA, BelangerA, KaniganT, LewisK, EpsteinS. Use of Ichip for high-throughput in situ cultivation of uncultivable microbial species. Appl Environ Microbiol, 2010, 76(8): 2445-50.
|
| [4] |
IrieK, FujitaniH, TsunedaS. Physical enrichment of uncultured accumulibacter and Nitrospira from activated sludge by unlabeled cell sorting technique. J Biosci Bioeng, 2016, 122(4): 475-81.
|
| [5] |
MuDS, OuyangY, ChenGJ, DuZ-J. Strategies for culturing active/dormant marine microbes. Mar Life Sci Technol, 2021, 3: 121-31.
|
| [6] |
LagierJC, DubourgG, MillionM, CadoretF, BilenM, FenollarF, LevasseurA, RolainJ-M, FournierPE, RaoultD. Culturing the human microbiota and culturomics. Nat Rev Microbiol, 2018, 16(9): 540-50.
|
| [7] |
XuJ, SunL, XingX, SunZ, GuH, LuX, LiZ, RenQ. Culturing bacteria from fermentation pit muds of Baijiu with culturomics and amplicon-based metagenomic approaches. Front Microbiol, 2020, 111223.
|
| [8] |
LiS, LianW-H, HanJ-R, AliM, LinZ-L, LiuY-H, LiL, ZhangD-Y, JiangX-Z, LiW-J. Capturing the microbial dark matter in desert soils using culturomics-based metagenomics and high-resolution analysis. Npj Biofilms Microbiomes, 2023, 9167.
|
| [9] |
LiM, RazaM, SongS, HouL, ZhangZ-F, GaoM, HuangJ-E, LiuF, CaiL. Application of culturomics in fungal isolation from Mangrove sediments. Microbiome, 2023, 111272.
|
| [10] |
LiC, WuY, LiL, ZhaoC, LiB, WuY, WangH, YanZ. Different techniques reveal the difference of community structure and function of fungi from root and rhizosphere of Salvia miltiorrhiza bunge. Plant Biol, 2023, 25(6): 848-59.
|
| [11] |
De FilippisF, ParenteE, ErcoliniD. Metagenomics insights into food fermentations. Microb Biotechnol, 2017, 10(1): 91-102.
|
| [12] |
ShiW, ChaiLJ, ZhaoH, SongYN, MeiJL, HeYX, LuZM, ZhangXJ, YangB, WangST. Deciphering the effects of different types of high-temperature Daqu on the fermentation process and flavor profiles of sauce-flavor Baijiu. Food Biosci, 2024, 61104917.
|
| [13] |
YangL, FanW, XuY. Qu-omics elucidates the formation and spatio-temporal differentiation mechanism underlying the microecology of high temperature Daqu. Food Chem, 2024, 438137988.
|
| [14] |
LiH, LiuS, LiuY, HuiM, PanC. Functional microorganisms in Baijiu Daqu: research progress and fortification strategy for application. Front Microbiol, 2023, 141119675.
|
| [15] |
DongWW, YuX, WangLY, ZouML, MaJY, LiuJ, FengYL, ZhaoSM, YangQ, HuYL, ChenSX. Unveiling the microbiota of sauce-flavor Daqu and its relationships with flavors and color during maturation. Front Microbiol, 2024, 151345772.
|
| [16] |
CaiW, XueYa, WangY, WangW, ShuN, ZhaoH, TangF, YangX, GuoZ, ShanC. The fungal communities and flavor profiles in different types of high-temperature Daqu as revealed by high-throughput sequencing and electronic senses. Front Microbiol, 2021, 12784651.
|
| [17] |
ZhengM, WenL, HeC, ChenX, SiL, LiH, LiangY, ZhengW, GuoF. Sequencing-guided re-estimation and promotion of cultivability for environmental bacteria. Nat Commun, 2024, 1519051.
|
| [18] |
BhartiR, GrimmDG. Current challenges and best-practice protocols for Microbiome analysis. Brief Bioinform, 2021, 22(1): 178-93.
|
| [19] |
NilssonRH, AnslanS, BahramM, WurzbacherC, BaldrianP, TedersooL. Mycobiome diversity: high-throughput sequencing and identification of fungi. Nat Rev Microbiol, 2019, 17(2): 95-109.
|
| [20] |
LiS, DengY, WangZ, ZhangZ, KongX, ZhouW, YiY, QuY. Exploring the accuracy of amplicon-based internal transcribed spacer markers for a fungal community. Mol Ecol Resour, 2020, 20(1): 170-84.
|
| [21] |
YuY, YangQ, PetropoulosE, ZhuT. ITS3/ITS4 outperforms other ITS region and 18S rRNA gene primer sets for amplicon sequencing of soil fungi. Eur J Soil Sci, 2022, 736e13329.
|
| [22] |
Espinosa Prieto A, Hardion L, Debortoli N, Beisel JN. Finding the perfect pairs: A matchmaking of plant markers and primers for multi-marker eDNA metabarcoding. Mol Ecol Resour. 2024;e13937. https://doi.org/10.1111/1755-0998.13937.
|
| [23] |
TesslerM, CunninghamSW, IngalaMR, WarringSD, BruglerMR. An environmental DNA primer for microbial and restoration ecology. Microb Ecol, 2023, 85(3): 796-808.
|
| [24] |
BickhartDM, KolmogorovM, TsengE, PortikDM, KorobeynikovA, TolstoganovI, UritskiyG, LiachkoI, SullivanST, ShinSB. Generating lineage-resolved, complete metagenome-assembled genomes from complex microbial communities. Nat Biotechnol, 2022, 40(5): 711-9.
|
| [25] |
LewisWH, TahonG, GeesinkP, SousaDZ, EttemaTJ. Innovations to culturing the uncultured microbial majority. Nat Rev Microbiol, 2021, 19(4): 225-40.
|
| [26] |
YangZW, LianZH, LiuL, FangBZ, LiWJ, JiaoJY. Cultivation strategies for prokaryotes from extreme environments. Imeta, 2023, 23e123.
|
| [27] |
WangX, DuH, ZhangY, XuY. Environmental microbiota drives microbial succession and metabolic profiles during Chinese liquor fermentation. Appl Environ Microbiol, 2018, 84(4): e02369-02317.
|
| [28] |
ChenS, ZhouY, ChenY, GuJ. Fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics, 2018, 34(17): i884-90.
|
| [29] |
MagočT, SalzbergSLFLASH: fast length adjustment of short reads to improve genome assemblies2011
|
| [30] |
CallahanB, McMurdieP, RosenM, HanA, JohnsonA, DadaSH. High-resolution sample inference from illumina amplicon data. Nat Methods, 2016, 13(7): 581-3.
|
| [31] |
BolyenE, RideoutJR, DillonMR, BokulichNA, AbnetCC, Al-GhalithGA, AlexanderH, AlmEJ, ArumugamM, AsnicarF. Reproducible, interactive, scalable and extensible Microbiome data science using QIIME 2. Nat Biotechnol, 2019, 37(8): 852-7.
|
| [32] |
NilssonRH, LarssonK-H, TaylorAFS, Bengtsson-PalmeJ, JeppesenTS, SchigelD, KennedyP, PicardK, GlöcknerFO, TedersooL. The UNITE database for molecular identification of fungi: handling dark taxa and parallel taxonomic classifications. Nucleic Acids Res, 2019, 47(D1): D259-64.
|
| [33] |
SchlossPD, WestcottSL, RyabinT, HallJR, HartmannM, HollisterEB, LesniewskiRA, OakleyBB, ParksDH, RobinsonCJ. Introducing Mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol, 2009, 75(23): 7537-41.
|
| [34] |
LuoJ, HuangW, ZhangQ, WuY, FangF, CaoJ, SuY. Distinct effects of hypochlorite types on the reduction of antibiotic resistance genes during waste activated sludge fermentation: insights of bacterial community, cellular activity, and genetic expression. J Hazard Mater, 2021, 403124010.
|
| [35] |
SegataN, IzardJ, WaldronL, GeversD, MiropolskyL, GarrettWS, HuttenhowerC. Metagenomic biomarker discovery and explanation. Genome Biol, 2011, 12: 1-18.
|
| [36] |
ZhangJ, LiangQY, MuDS, LianF, GongY, YeM, ChenGJ, YeY, DuZJ. Cultivating the uncultured: Harnessing the sandwich agar plate approach to isolate heme-dependent bacteria from marine sediment. mLife, 2024, 3(1): 143-55.
|
| [37] |
MuradA, ZuhairiN, Mohd AsparM, AzharM. Isolation and characterisation of potential probiotic yeast strains from local fermented foods: Gastrointestinal tolerance and antimicrobial activity assessment. Asia-Pacific J Mol Biol Biotechnol, 2024, 32: 116-25
|
| [38] |
CuiDQ, LuoXY, BanSD, HuangW, ZhangYH, ZhaoHJ, WangXD. Preparation of fortified Daqu and its application in Moutai-flavor Baijiu. Food Ferment Industries, 2022, 48(7): 78-84.
|
| [39] |
RavnJL, EngqvistMK, LarsbrinkJ, GeijerC. CAZyme prediction in ascomycetous yeast genomes guides discovery of novel xylanolytic species with diverse capacities for hemicellulose hydrolysis. Biotechnol Biofuels, 2021, 14: 1-18.
|
| [40] |
LiangJ, DengL, LiZ, FeiY, BaiW, ZhaoW, HeS, CaoR. Metagenomic analysis of core differential microbes between traditional starter and Round-Koji-mechanical starter of Chi-flavor Baijiu. Front Microbiol, 2024, 151390899.
|
| [41] |
SoldenL, LloydK, WrightonK. The bright side of microbial dark matter: lessons learned from the uncultivated majority. Curr Opin Microbiol, 2016, 31: 217-26.
|
| [42] |
ZhangY, XuJ, JiangY, NiuJ, ChenX, HanB-Z. Microbial characteristics and metabolite profiles of high-temperature Daqu in different maturation stages. World J Microbiol Biotechnol, 2022, 3812234.
|
| [43] |
WangXD, QiuSY, LiP, BanSD. Analysis of microbial community structure in traditional and automated Moutai-flavor Daqu. J Am Soc Brew Chem, 2019, 77(2): 140-6.
|
| [44] |
LagierJC, ArmougomF, MillionM, HugonP, PagnierI, RobertC, BittarF, FournousG, GimenezG, MaraninchiM. Microbial culturomics: paradigm shift in the human gut Microbiome study. Clin Microbiol Infect, 2012, 18(12): 1185-93.
|
| [45] |
RettedalEA, GumpertH, SommerMO. Cultivation-based multiplex phenotyping of human gut microbiota allows targeted recovery of previously uncultured bacteria. Nat Commun, 2014, 514714.
|
| [46] |
Lau JT, Whelan FJ, Herath I, Lee CH, Collins SM, Bercik P, Surette MG. Capturing the diversity of the human gut microbiota through culture-enriched molecular profiling. Genome Med. 2016;8(1). https://doi.org/10.1186/s13073-016-0327-7.
|
| [47] |
ShenH, WangT, DongW, SunG, LiuJ, PengN, ZhaoS. Metagenome-assembled genome reveals species and functional composition of Jianghan chicken gut microbiota and isolation of Pediococcus acidilactic with probiotic properties. Microbiome, 2024, 12125.
|
| [48] |
LaneMM, BurkeN, KarremanR, WolfeKH, O’ByrneCP, MorrisseyJP. Physiological and metabolic diversity in the yeast Kluyveromyces Marxianus. Antonie Van Leeuwenhoek, 2011, 100: 507-19.
|
| [49] |
KarimA, GerlianiN, AïderM. Kluyveromyces marxianus: an emerging yeast cell factory for applications in food and biotechnology. Int J Food Microbiol, 2020, 333108818.
|
| [50] |
Xu P, Wu YJ, Tian L, Liu Y, Qiu XP, Yu JS, Liu QR, Shang HG, Xiang SQ, Guan TW. Application of fortified Daqu to optimize the core fermentation microbial flora and improve the ester profile of Nongxiangxingbaijiu. LWT. 2025, 223. https://doi.org/10.1016/j.lwt.2025.117711
|
| [51] |
NiB, LiW, IfrahK, DuB, XuY, ZhangC, LiX. Dynamic transcriptome analysis reveals transcription factors involved in the synthesis of Ethyl acetate in aroma-producing yeast. Genes, 2022, 13122341.
|
| [52] |
XieZB, ZhangKZ, KangZH, YangJG. Saccharomycopsis fibuligera in liquor production: A review. Eur Food Res Technol, 2021, 247: 1569-77.
|
| [53] |
XiaoJ, MouF, MaoW, FangS, ChenH, LiaoB, ChenM. The ester production capacity of Pichia kudriavzevii based on functional annotation of genes. World J Microbiol Biotechnol, 2023, 3911307.
|
Funding
Natural Science Research of Jiangsu Higher Education Institutions of China(BK20242077)
RIGHTS & PERMISSIONS
Jiangnan University