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Elcheninov AG, Zayulina KS, Klyukina AA, Kremneva MK, Kublanov IV, Kochetkova TV. Metagenomic Insights into the Taxonomic and Functional Features of Traditional Fermented Milk Products from Russia. Microorganisms 2023; 12:16. [PMID: 38276185 PMCID: PMC10819033 DOI: 10.3390/microorganisms12010016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 12/18/2023] [Accepted: 12/19/2023] [Indexed: 01/27/2024] Open
Abstract
Fermented milk products (FMPs) contain probiotics that are live bacteria considered to be beneficial to human health due to the production of various bioactive molecules. In this study, nine artisanal FMPs (kefir, ayran, khurunga, shubat, two cottage cheeses, bryndza, khuruud and suluguni-like cheese) from different regions of Russia were characterized using metagenomics. A metagenomic sequencing of ayran, khurunga, shubat, khuruud and suluguni-like cheese was performed for the first time. The taxonomic profiling of metagenomic reads revealed that Lactococcus species, such as Lc. lactis and Lc. cremoris prevailed in khuruud, bryndza, one sample of cottage cheese and khurunga. The latter one together with suluguni-like cheese microbiome was dominated by bacteria, affiliated to Lactobacillus helveticus (32-35%). In addition, a high proportion of sequences belonging to the genera Lactobacillus, Lactococcus and Streptococcus but not classified at the species level were found in the suluguni-like cheese. Lactobacillus delbrueckii, as well as Streptococcus thermophilus constituted the majority in another cottage cheese, kefir and ayran metagenomes. The microbiome of shubat, produced from camel's milk, was significantly distinctive, and Lentilactobacillus kefiri, Lactobacillus kefiranofaciens and Bifidobacterium mongoliense represented the dominant components (42, 7.4 and 5.6%, respectively). In total, 78 metagenome-assembled genomes with a completeness ≥ 50.2% and a contamination ≤ 8.5% were recovered: 61 genomes were assigned to the Enterococcaceae, Lactobacillaceae and Streptococcaceae families (the Lactobacillales order within Firmicutes), 4 to Bifidobacteriaceae (the Actinobacteriota phylum) and 2 to Acetobacteraceae (the Proteobacteria phylum). A metagenomic analysis revealed numerous genes, from 161 to 1301 in different products, encoding glycoside hydrolases and glycosyltransferases predicted to participate in lactose, alpha-glucans and peptidoglycan hydrolysis as well as exopolysaccharides synthesis. A large number of secondary metabolite biosynthetic gene clusters, such as lanthipeptides, unclassified bacteriocins, nonribosomal peptides and polyketide synthases were also detected. Finally, the genes involved in the synthesis of bioactive compounds like β-lactones, terpenes and furans, nontypical for fermented milk products, were also found. The metagenomes of kefir, ayran and shubat was shown to contain either no or a very low count of antibiotic resistance genes. Altogether, our results show that traditional indigenous fermented products are a promising source of novel probiotic bacteria with beneficial properties for medical and food industries.
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Affiliation(s)
- Alexander G. Elcheninov
- Winogradsky Institute of Microbiology, Federal Research Center of Biotechnology of the Russian Academy of Sciences, Moscow 117312, Russia; (K.S.Z.); (A.A.K.); (I.V.K.); (T.V.K.)
| | - Kseniya S. Zayulina
- Winogradsky Institute of Microbiology, Federal Research Center of Biotechnology of the Russian Academy of Sciences, Moscow 117312, Russia; (K.S.Z.); (A.A.K.); (I.V.K.); (T.V.K.)
| | - Alexandra A. Klyukina
- Winogradsky Institute of Microbiology, Federal Research Center of Biotechnology of the Russian Academy of Sciences, Moscow 117312, Russia; (K.S.Z.); (A.A.K.); (I.V.K.); (T.V.K.)
| | - Mariia K. Kremneva
- Faculty of Biology, Lomonosov Moscow State University, Moscow 119234, Russia;
| | - Ilya V. Kublanov
- Winogradsky Institute of Microbiology, Federal Research Center of Biotechnology of the Russian Academy of Sciences, Moscow 117312, Russia; (K.S.Z.); (A.A.K.); (I.V.K.); (T.V.K.)
| | - Tatiana V. Kochetkova
- Winogradsky Institute of Microbiology, Federal Research Center of Biotechnology of the Russian Academy of Sciences, Moscow 117312, Russia; (K.S.Z.); (A.A.K.); (I.V.K.); (T.V.K.)
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D'Incecco P, Bettera L, Bancalari E, Rosi V, Sindaco M, Gobbi S, Candotti P, Nazzicari N, Limbo S, Gatti M, Pellegrino L. High-speed cold centrifugation of milk modifies the microbiota, the ripening process and the sensory characteristics of raw-milk hard cheeses. Food Res Int 2023; 172:113102. [PMID: 37689872 DOI: 10.1016/j.foodres.2023.113102] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 06/01/2023] [Accepted: 06/09/2023] [Indexed: 09/11/2023]
Abstract
The microbial population of raw milk plays a crucial role in the development of distinctive traits of raw-milk cheeses particularly appreciated by consumers. It was previously demonstrated that the microbial population of raw milk is modified by a high-speed centrifugation (also called bactofugation) conducted at 39 °C. The aim of the present study was to evaluate the effects of this process, performed once or twice, on the microbial, compositional, biochemical, and sensory characteristics of the derived hard cheeses. Experimental and control cheesemaking were conducted in parallel at a cheese factory during a 13-month period. Cheeses were analysed after 9, 15 and 20 months of ripening for microbial count, composition, proteolysis extent, volatile compounds, and sensory profile. Results evidenced that experimental cheeses were characterized by lower numbers of viable lactobacilli respect to control. Experimental cheeses also showed differences in the progress of primary and secondary proteolysis which, in turn, caused different patterns of free amino acids at all ripening times. Experimental cheeses had significantly lower content of esters and were differentiated from control for some traits by assessors. In conclusion, use of high-speed centrifugation of milk shall be discouraged if characteristic traits of raw-milk cheeses, particularly PDO cheeses, want to be retained.
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Affiliation(s)
- Paolo D'Incecco
- Department of Food, Environmental and Nutritional Sciences, University of Milan, 20133 Milan, Italy.
| | - Luca Bettera
- Department of Food and Drug, University of Parma, Parma 43124, Italy
| | - Elena Bancalari
- Department of Food and Drug, University of Parma, Parma 43124, Italy
| | - Veronica Rosi
- Department of Food, Environmental and Nutritional Sciences, University of Milan, 20133 Milan, Italy
| | - Marta Sindaco
- Department of Food, Environmental and Nutritional Sciences, University of Milan, 20133 Milan, Italy
| | - Serena Gobbi
- Department of Food, Environmental and Nutritional Sciences, University of Milan, 20133 Milan, Italy
| | - Paolo Candotti
- National Reference Centre for Animal Welfare, IZSLER, 25124 Brescia, Italy
| | - Nelson Nazzicari
- Council for Agricultural Research and Economics (CREA), Research Centre for Fodder Crops and Dairy Productions, 26900 Lodi, Italy
| | - Sara Limbo
- Department of Food, Environmental and Nutritional Sciences, University of Milan, 20133 Milan, Italy
| | - Monica Gatti
- Department of Food and Drug, University of Parma, Parma 43124, Italy
| | - Luisa Pellegrino
- Department of Food, Environmental and Nutritional Sciences, University of Milan, 20133 Milan, Italy
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Abstract
For thousands of years, humans have enjoyed the novel flavors, increased shelf-life, and nutritional benefits that microbes provide in fermented foods and beverages. Recent sequencing surveys of ferments have mapped patterns of microbial diversity across space, time, and production practices. But a mechanistic understanding of how fermented food microbiomes assemble has only recently begun to emerge. Using three foods as case studies (surface-ripened cheese, sourdough starters, and fermented vegetables), we use an ecological and evolutionary framework to identify how microbial communities assemble in ferments. By combining in situ sequencing surveys with in vitro models, we are beginning to understand how dispersal, selection, diversification, and drift generate the diversity of fermented food communities. Most food producers are unaware of the ecological processes occurring in their production environments, but the theory and models of ecology and evolution can provide new approaches for managing fermented food microbiomes, from farm to ferment.
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Affiliation(s)
- Nicolas L Louw
- Department of Biology, Tufts University, Medford, Massachusetts, USA; , , , ,
| | - Kasturi Lele
- Department of Biology, Tufts University, Medford, Massachusetts, USA; , , , ,
| | - Ruby Ye
- Department of Biology, Tufts University, Medford, Massachusetts, USA; , , , ,
| | - Collin B Edwards
- Department of Biology, Tufts University, Medford, Massachusetts, USA; , , , ,
- School of Biological Sciences, Washington State University, Vancouver, Washington, USA
| | - Benjamin E Wolfe
- Department of Biology, Tufts University, Medford, Massachusetts, USA; , , , ,
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Mohamed HM, Barzideh Z, Siddiqi M, LaPointe G. Taxonomy, Sequence Variance and Functional Profiling of the Microbial Community of Long-Ripened Cheddar Cheese Using Shotgun Metagenomics. Microorganisms 2023; 11:2052. [PMID: 37630612 PMCID: PMC10458550 DOI: 10.3390/microorganisms11082052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 07/16/2023] [Accepted: 07/27/2023] [Indexed: 08/27/2023] Open
Abstract
Shotgun metagenomic sequencing was used to investigate the diversity of the microbial community of Cheddar cheese ripened over 32 months. The changes in taxa abundance were compared from assembly-based, non-assembly-based, and mOTUs2 sequencing pipelines to delineate the community profile for each age group. Metagenomic assembled genomes (MAGs) passing the quality threshold were obtained for 11 species from 58 samples. Although Lactococcus cremoris and Lacticaseibacillus paracasei were dominant across the shotgun samples, other species were identified using MG-RAST. NMDS analysis of the beta diversity of the microbial community revealed the similarity of the cheeses in older age groups (7 months to 32 months). As expected, the abundance of Lactococcus cremoris consistently decreased over ripening, while the proportion of permeable cells increased. Over the ripening period, the relative abundance of viable Lacticaseibacillus paracasei progressively increased, but at a variable rate among trials. Reads attributed to Siphoviridae and Ascomycota remained below 1% relative abundance. The functional profiles of PMA-treated cheeses differed from those of non-PMA-treated cheeses. Starter rotation was reflected in the single nucleotide variant profiles of Lactococcus cremoris (SNVs of this species using mOTUs2), while the incoming milk was the leading factor in discriminating Lacticaseibacillus paracasei/casei SNV profiles. The relative abundance estimates from Kraken2, non-assembly-based (MG-RAST) and marker gene clusters (mOTUs2) were consistent across age groups for the two dominant taxa. Metagenomics enabled sequence variant analysis below the bacterial species level and functional profiling that may affect the metabolic interactions between subpopulations in cheese during ripening, which could help explain the overall flavour development of cheese. Future work will integrate microbial variants with volatile profiles to associate the development of compounds related to cheese flavour at each ripening stage.
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Affiliation(s)
- Hassan Mahmoud Mohamed
- Dairy at Guelph, Department of Food Science, University of Guelph, Guelph, ON N1G 2W1, Canada
- Faculty of Computer and Artificial Intelligence, Benha University, Banha 13518, Egypt
| | - Zoha Barzideh
- Dairy at Guelph, Department of Food Science, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Myra Siddiqi
- Dairy at Guelph, Department of Food Science, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Gisèle LaPointe
- Dairy at Guelph, Department of Food Science, University of Guelph, Guelph, ON N1G 2W1, Canada
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Barzideh Z, Siddiqi M, Mohamed HM, LaPointe G. Dynamics of Starter and Non-Starter Lactic Acid Bacteria Populations in Long-Ripened Cheddar Cheese Using Propidium Monoazide (PMA) Treatment. Microorganisms 2022; 10:1669. [PMID: 36014087 PMCID: PMC9413250 DOI: 10.3390/microorganisms10081669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 08/14/2022] [Accepted: 08/16/2022] [Indexed: 11/16/2022] Open
Abstract
The microbial community of industrially produced Canadian Cheddar cheese was examined from curd to ripened cheese at 30-32 months using a combination of viable plate counts of SLAB (GM17) and NSLAB (MRSv), qPCR and 16S rRNA gene amplicon sequencing. Cell treatment with propidium monoazide excluded DNA of permeable cells from amplification. The proportion of permeable cells of both Lactococcus spp. and Lacticaseibacillus spp. was highest at 3-6 months. While most remaining Lacticaseibacillus spp. cells were intact during later ripening stages, a consistent population of permeable Lactococcus spp. cells was maintained over the 32-month period. While Lactococcus sequence variants were significant biomarkers for viable cheese curd communities at 0-1 m, Lacticaseibacillus was identified as a distinctive biomarker for cheeses from 7 to 20 months. From 24 to 32 months, Lacticaseibacillus was replaced in significance by four genera (Pediococcus and Latilactobacillus at 24 m and at 30-32 m, Secundilactobacillus and Paucilactobacillus). These results underscore the importance of monitoring potential defects in cheeses aged over 24 months, which could be diagnosed early through microbial DNA profiling to minimize potential waste of product. Future perspectives include correlating volatile flavor compounds with microbial community composition as well as the investigation of intra-species diversity.
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Affiliation(s)
- Zoha Barzideh
- Department of Food Science, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Myra Siddiqi
- Department of Food Science, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Hassan Mahmoud Mohamed
- Department of Food Science, University of Guelph, Guelph, ON N1G 2W1, Canada
- Faculty of Computer and Artificial Intelligence, Benha University, Banha 13518, Egypt
| | - Gisèle LaPointe
- Department of Food Science, University of Guelph, Guelph, ON N1G 2W1, Canada
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Sabater C, Cobo-Díaz JF, Álvarez-Ordóñez A, Ruas-Madiedo P, Ruiz L, Margolles A. Novel methods of microbiome analysis in the food industry. Int Microbiol 2021; 24:593-605. [PMID: 34686940 DOI: 10.1007/s10123-021-00215-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 10/02/2021] [Accepted: 10/04/2021] [Indexed: 10/20/2022]
Abstract
The study of the food microbiome has gained considerable interest in recent years, mainly due to the wide range of applications that can be derived from the analysis of metagenomes. Among these applications, it is worth mentioning the possibility of using metagenomic analyses to determine food authenticity, to assess the microbiological safety of foods thanks to the detection and tracking of pathogens, antibiotic resistance genes and other undesirable traits, as well to identify the microorganisms responsible for food processing defects. Metataxonomics and metagenomics are currently the gold standard methodologies to explore the full potential of metagenomes in the food industry. However, there are still a number of challenges that must be solved in order to implement these methods routinely in food chain monitoring, and for the regulatory agencies to take them into account in their opinions. These challenges include the difficulties of analysing foods and food-related environments with a low microbial load, the lack of validated bioinformatics pipelines adapted to food microbiomes and the difficulty of assessing the viability of the detected microorganisms. This review summarizes the methods of microbiome analysis that have been used, so far, in foods and food-related environments, with a specific focus on those involving Next-Generation Sequencing technologies.
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Affiliation(s)
- Carlos Sabater
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias-Consejo Superior de Investigaciones Científicas (IPLA-CSIC), Paseo Río Linares s/n, 33300, Villaviciosa, Asturias, Spain.,Functionality and Ecology of Beneficial Microbes (MicroHealth) Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Asturias, Spain
| | - José F Cobo-Díaz
- Department of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, León, Spain
| | - Avelino Álvarez-Ordóñez
- Department of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, León, Spain
| | - Patricia Ruas-Madiedo
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias-Consejo Superior de Investigaciones Científicas (IPLA-CSIC), Paseo Río Linares s/n, 33300, Villaviciosa, Asturias, Spain.,Functionality and Ecology of Beneficial Microbes (MicroHealth) Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Asturias, Spain
| | - Lorena Ruiz
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias-Consejo Superior de Investigaciones Científicas (IPLA-CSIC), Paseo Río Linares s/n, 33300, Villaviciosa, Asturias, Spain. .,Functionality and Ecology of Beneficial Microbes (MicroHealth) Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Asturias, Spain.
| | - Abelardo Margolles
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias-Consejo Superior de Investigaciones Científicas (IPLA-CSIC), Paseo Río Linares s/n, 33300, Villaviciosa, Asturias, Spain.,Functionality and Ecology of Beneficial Microbes (MicroHealth) Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Asturias, Spain
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