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Qin X, Cheng J, Qiu Y, Guan N, Gupta TB, Wu S, Jiang Y, Yang X, Man C. Characterization of psychrotrophic and thermoduric bacteria in raw milk using a multi-omics approach. Microb Genom 2024; 10:001311. [PMID: 39504117 PMCID: PMC11540130 DOI: 10.1099/mgen.0.001311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 09/25/2024] [Indexed: 11/08/2024] Open
Abstract
Psychrotrophic and thermoduric bacteria are the main reasons for the spoilage of dairy products. This study aims to address the composition and function of psychrotrophic and thermoduric bacteria in eight groups of raw milk samples obtained from Heilongjiang Province and Inner Mongolia (China). Microbial enumeration showed an average total bacterial count of 4.63 log c.f.u. ml-1 and psychrotrophic bacterial counts of 4.82 log c.f.u. ml-1. The mean counts of mesophilic and thermophilic thermoduric bacteria were 3.68 log and 1.81 log c.f.u. ml-1, respectively. Isolated psychrotrophic bacteria (26 genera and 50 species) and mesophilic thermoduric bacteria (20 genera and 32 species) showed high microbial diversity. Through metagenomic and proteomic analyses, significant disparities in the concentration and community structure of psychrotrophic and thermoduric bacteria were observed among different locations. A large number of peptidases were annotated by metagenomics, which may result in milk spoilage. They mainly come from some typical psychrotrophic and thermoduric bacteria, such as Chryseobacterium, Epilithonimonas, Pseudomonas, Psychrobacter, Acinetobacter, Lactococcus, Escherichia and Bacillus. However, the main proteins detected in fresh raw milk were associated with bacterial growth, reproduction and adaptation to cold environments. This investigation provides valuable insights into the microbial communities and protein profiles of raw milk, shedding light on the microbial factors contributing to milk deterioration.
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Affiliation(s)
- Xue Qin
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science and Engineering, Northeast Agricultural University, Harbin 150030, PR China
| | - Jingqi Cheng
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science and Engineering, Northeast Agricultural University, Harbin 150030, PR China
| | - Yue Qiu
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science and Engineering, Northeast Agricultural University, Harbin 150030, PR China
| | - Ning Guan
- Center for Dairy Safety and Quality, National Center of Technology Innovation for Dairy, No.1 Jinshan Road, Jinshan Development Zone, Hohhot, PR China
| | - Tanushree B. Gupta
- AgResearch Ltd, Hopkirk Research Institute, Cnr University Ave and Library Road, Massey University, Palmerston North 4442, New Zealand
| | - Shuyan Wu
- AgResearch Ltd, Hopkirk Research Institute, Cnr University Ave and Library Road, Massey University, Palmerston North 4442, New Zealand
| | - Yujun Jiang
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science and Engineering, Northeast Agricultural University, Harbin 150030, PR China
| | - Xinyan Yang
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science and Engineering, Northeast Agricultural University, Harbin 150030, PR China
| | - Chaoxin Man
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science and Engineering, Northeast Agricultural University, Harbin 150030, PR China
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2
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Carlino N, Blanco-Míguez A, Punčochář M, Mengoni C, Pinto F, Tatti A, Manghi P, Armanini F, Avagliano M, Barcenilla C, Breselge S, Cabrera-Rubio R, Calvete-Torre I, Coakley M, Cobo-Díaz JF, De Filippis F, Dey H, Leech J, Klaassens ES, Knobloch S, O'Neil D, Quijada NM, Sabater C, Skírnisdóttir S, Valentino V, Walsh L, Alvarez-Ordóñez A, Asnicar F, Fackelmann G, Heidrich V, Margolles A, Marteinsson VT, Rota Stabelli O, Wagner M, Ercolini D, Cotter PD, Segata N, Pasolli E. Unexplored microbial diversity from 2,500 food metagenomes and links with the human microbiome. Cell 2024; 187:5775-5795.e15. [PMID: 39214080 DOI: 10.1016/j.cell.2024.07.039] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 05/17/2024] [Accepted: 07/23/2024] [Indexed: 09/04/2024]
Abstract
Complex microbiomes are part of the food we eat and influence our own microbiome, but their diversity remains largely unexplored. Here, we generated the open access curatedFoodMetagenomicData (cFMD) resource by integrating 1,950 newly sequenced and 583 public food metagenomes. We produced 10,899 metagenome-assembled genomes spanning 1,036 prokaryotic and 108 eukaryotic species-level genome bins (SGBs), including 320 previously undescribed taxa. Food SGBs displayed significant microbial diversity within and between food categories. Extension to >20,000 human metagenomes revealed that food SGBs accounted on average for 3% of the adult gut microbiome. Strain-level analysis highlighted potential instances of food-to-gut transmission and intestinal colonization (e.g., Lacticaseibacillus paracasei) as well as SGBs with divergent genomic structures in food and humans (e.g., Streptococcus gallolyticus and Limosilactobabillus mucosae). The cFMD expands our knowledge on food microbiomes, their role in shaping the human microbiome, and supports future uses of metagenomics for food quality, safety, and authentication.
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Affiliation(s)
- Niccolò Carlino
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Aitor Blanco-Míguez
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Michal Punčochář
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Claudia Mengoni
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Federica Pinto
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Alessia Tatti
- Scuola Universitaria Superiore IUSS Pavia, Pavia, Italy; Centre for Agriculture Food Environment, University of Trento, Trento, Italy; Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'Adige, Italy
| | - Paolo Manghi
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Federica Armanini
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Michele Avagliano
- Department of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Portici, Italy
| | - Coral Barcenilla
- Department of Food Hygiene and Technology, Universidad de León, León, Spain
| | - Samuel Breselge
- Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork, Ireland; APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - Raul Cabrera-Rubio
- Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork, Ireland; Department of Biotechnology, Institute of Agrochemistry and Food Technology - National Research Council (IATA-CSIC), Paterna, Valencia, Spain
| | - Inés Calvete-Torre
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias - Consejo Superior de Investigaciones Científicas (IPLA-CSIC), Villaviciosa, Spain; Microhealth Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Mairéad Coakley
- Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork, Ireland
| | - José F Cobo-Díaz
- Department of Food Hygiene and Technology, Universidad de León, León, Spain
| | - Francesca De Filippis
- Department of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Portici, Italy; Task Force on Microbiome Studies, University of Naples Federico II, Portici, Italy
| | - Hrituraj Dey
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - John Leech
- Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork, Ireland
| | | | | | | | - Narciso M Quijada
- Austrian Competence Centre for Feed and Food Quality, Safety, and Innovation, FFoQSI GmbH, Tulln an der Donau, Austria; Unit of Food Microbiology, Institute of Food Safety, Food Technology and Veterinary Public Health, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, Vienna, Austria; Institute for Agribiotechnology Research (CIALE), Department of Microbiology and Genetics, University of Salamanca, Salamanca, Spain
| | - Carlos Sabater
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias - Consejo Superior de Investigaciones Científicas (IPLA-CSIC), Villaviciosa, Spain; Microhealth Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | | | - Vincenzo Valentino
- Department of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Portici, Italy
| | - Liam Walsh
- Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork, Ireland; APC Microbiome Ireland, University College Cork, Cork, Ireland; School of Microbiology, University College Cork, Cork, Ireland
| | | | - Francesco Asnicar
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Gloria Fackelmann
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Vitor Heidrich
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Abelardo Margolles
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias - Consejo Superior de Investigaciones Científicas (IPLA-CSIC), Villaviciosa, Spain; Microhealth Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Viggó Thór Marteinsson
- Microbiology Research Group, Matís, Reykjavík, Iceland; University of Iceland, Faculty of Food Science and Nutrition, Reykjavík, Iceland
| | - Omar Rota Stabelli
- Centre for Agriculture Food Environment, University of Trento, Trento, Italy; Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'Adige, Italy
| | - Martin Wagner
- Austrian Competence Centre for Feed and Food Quality, Safety, and Innovation, FFoQSI GmbH, Tulln an der Donau, Austria; Unit of Food Microbiology, Institute of Food Safety, Food Technology and Veterinary Public Health, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Danilo Ercolini
- Department of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Portici, Italy; Task Force on Microbiome Studies, University of Naples Federico II, Portici, Italy
| | - Paul D Cotter
- Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork, Ireland; APC Microbiome Ireland, University College Cork, Cork, Ireland; VistaMilk SFI Research Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland
| | - Nicola Segata
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy; IEO, Istituto Europeo di Oncologia IRCSS, Milan, Italy; Department of Twins Research and Genetic Epidemiology, King's College London, London, UK.
| | - Edoardo Pasolli
- Department of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Portici, Italy; Task Force on Microbiome Studies, University of Naples Federico II, Portici, Italy
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Yin H, Hong Q, Yu X, Wang H, Shi X, Liu W, Yuan T, Tu Z. Dynamic changes in volatile profiles and bacterial communities during natural fermentation of Mei yu, traditional Chinese fermented fish pieces. Food Res Int 2024; 194:114882. [PMID: 39232519 DOI: 10.1016/j.foodres.2024.114882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Revised: 07/23/2024] [Accepted: 08/07/2024] [Indexed: 09/06/2024]
Abstract
Microbial metabolism is important for the unique flavor formation of Mei yu, a kind of traditional Chinese fermented fish pieces. However, the interactive relationship between microorganisms and flavor components during fermentation is still unclear. In this study, electronic nose and headspace-solid-phase microextraction-gas chromatography-mass spectrometry analysis were performed to identify flavor components in Mei yu during the fermentation, and the absolute microbial quantification was conducted to identify the diversity and succession of microbial communities. During fermentation, there was an increase in the types of volatile compounds. Alcohols, aldehydes, aromatics and esters were the main flavor compounds and significantly increased in Mei yu, while hydrocarbon and aldehydes significantly decreased. The absolute abundances of Lactobacillus, Lactococcus and Weissella increased significantly after 3 days' fermentation, which were closely associated with the productions of 1-nonanol, 2-methoxy-4-vinylphenol, guaiacol, ethyl palmitate and ethyl caprylate that might though pathways related to fatty acid biosynthesis and amino acid metabolism. However, these genera were negatively correlated with the production of indole. Additionally, the total volatile basic nitrogen (TVB-N) levels of Mei yu fermented during 3 days were within the limits of 25 mg TVB-N/100 g fish, with the contents of free amino acids and lipoxygenase activities were significant lower than that of 4 days' fermentation. In view of food safety and flavor, it suggested that the natural fermented Mei yu at room temperature should be controlled within 3 days. This study highlights the application of absolute quantification to microbiome analysis in traditional fermented Mei yu and provides new insights into the roles of microorganisms in flavor formation during fermentation.
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Affiliation(s)
- Hongmei Yin
- School of Health, Jiangxi Normal University, Nanchang, Jiangxi 330022, China
| | - Qiang Hong
- School of Health, Jiangxi Normal University, Nanchang, Jiangxi 330022, China
| | - Xiang Yu
- School of Health, Jiangxi Normal University, Nanchang, Jiangxi 330022, China
| | - Hui Wang
- College of Food Science and Technology, Guangdong Ocean University, Zhanjiang, Guangdong 524088, China
| | - Xiaodan Shi
- School of Health, Jiangxi Normal University, Nanchang, Jiangxi 330022, China.
| | - Wei Liu
- Xinjiang Key Laboratory of Clean Conversion and High Value Utilization of Biomass Resources, School of Chemistry and Chemical Engineering, Yili Normal University, Yining, Xinjiang 835000, China
| | - Tao Yuan
- School of Health, Jiangxi Normal University, Nanchang, Jiangxi 330022, China
| | - Zongcai Tu
- School of Health, Jiangxi Normal University, Nanchang, Jiangxi 330022, China; State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang, Jiangxi 330047, China.
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4
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Shang H, Yue Y, Guo B, Ji C, Zhang S, Dong L, Ferrocino I, Cocolin LS, Lin X. The effects of Lactiplantibacillus plantarum 3-19 and Pediococcus pentosaceus 18-1 on preventing the accumulation of biogenic amines and promoting the production of volatile organic compounds during sour meat fermentation. Int J Food Microbiol 2024; 421:110806. [PMID: 38941886 DOI: 10.1016/j.ijfoodmicro.2024.110806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 06/21/2024] [Accepted: 06/21/2024] [Indexed: 06/30/2024]
Abstract
Lactic acid bacteria (LAB) are frequently used in meat fermentation, and mixed stater cultures are reported to perform better than single ones. Lactiplantibacillus plantarum 3-19 and Pediococcus pentosaceus 18-1 were chosen from 28 sour-meat-origin strains to examine the effects of single and combined inoculation on sour meat quality. Natural fermentation was used as a control to investigate changes in pH, water activity (aw), amino acid nitrogen (AN), texture, microbial diversity, and volatile organic compounds (VOCs) during fermentation. The pH and aw of each inoculation group were significantly decreased, and AN content was significantly increased. The inoculation of P. pentosaceus 18-1 significantly reduced putrescine, cadaverine, and tryptamine content (p < 0.05), while the inoculation of Lpb. plantarum 3-19 significantly reduced cadaverine amounts (p < 0.05). At the fermentation endpoint, the total biogenic amines content in the C group was 992.96 ± 14.07, which was 1.65, 2.57, and 3.07 times higher than that in the Lp, Pe, and M groups, respectively. The mixed inoculation group combined the advantages of both strains and decreased total biogenic amines most significantly. At the end of fermentation, the VOCs in C, Lp, Pe, and M groups were 10.11, 11.56, 12.45, and 13.39 times higher than those at the beginning of fermentation. Inoculation promoted the production of key VOCs (OAV > 2000) such as heptanal, octanal, and (E)-2-nonanal. The mixed inoculation group had the highest variety and content of VOCs and the highest content of the above key VOCs, significantly enhancing its fruity, floral, ester, and other aromas. Sensory evaluation indicated that the M group had the best overall acceptability. Finally, it was suggested that a combination of Lpb. plantarum 3-19 and P. pentosaceus 18-1 is a novel and efficient starter culture for processing sour meat since they lower the amounts of biogenic amines in the meat and promote the production of VOCs.
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Affiliation(s)
- Hao Shang
- SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Collaborative Innovation Center of Provincial and Ministerial Co-construction for Deep Processing, Collaborative Innovation Center of Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian, Liaoning 116034, China
| | - Ying Yue
- SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Collaborative Innovation Center of Provincial and Ministerial Co-construction for Deep Processing, Collaborative Innovation Center of Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian, Liaoning 116034, China
| | - Bingrui Guo
- SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Collaborative Innovation Center of Provincial and Ministerial Co-construction for Deep Processing, Collaborative Innovation Center of Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian, Liaoning 116034, China
| | - Chaofan Ji
- SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Collaborative Innovation Center of Provincial and Ministerial Co-construction for Deep Processing, Collaborative Innovation Center of Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian, Liaoning 116034, China
| | - Sufang Zhang
- SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Collaborative Innovation Center of Provincial and Ministerial Co-construction for Deep Processing, Collaborative Innovation Center of Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian, Liaoning 116034, China
| | - Liang Dong
- SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Collaborative Innovation Center of Provincial and Ministerial Co-construction for Deep Processing, Collaborative Innovation Center of Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian, Liaoning 116034, China
| | - Ilario Ferrocino
- Department of Agricultural, Forest and Food Sciences, University of Turin, Turin, Italy
| | - Luca Simone Cocolin
- Department of Agricultural, Forest and Food Sciences, University of Turin, Turin, Italy
| | - Xinping Lin
- SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Collaborative Innovation Center of Provincial and Ministerial Co-construction for Deep Processing, Collaborative Innovation Center of Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian, Liaoning 116034, China.
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5
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Burcham ZM. Comparative genomic analysis of an emerging Pseudomonadaceae member, Thiopseudomonas alkaliphila. Microbiol Spectr 2024; 12:e0415723. [PMID: 38934605 PMCID: PMC11302033 DOI: 10.1128/spectrum.04157-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
Thiopseudomonas alkaliphila, an organism recently classified within the Pseudomonadaceae family, has been detected in diverse sources such as human tissues, animal guts, industrial fermenters, and decomposition environments, suggesting a diverse ecological role. However, a large knowledge gap exists in how T. alkaliphila functions. In this comparative genomic analysis, adaptations indicative of habitat specificity among strains and genomic similarity to known opportunistic pathogens are revealed. Genomic investigation reveals a core metabolic utilization of multiple oxidative and non-oxidative catabolic pathways, suggesting adaptability to varied environments and carbon sources. The genomic repertoire of T. alkaliphila includes secondary metabolites, such as antimicrobials and siderophores, indicative of its involvement in microbial competition and resource acquisition. Additionally, the presence of transposases, prophages, plasmids, and Clustered Regularly Interspaced Short Palindromic Repeats-Cas systems in T. alkaliphila genomes suggests mechanisms for horizontal gene transfer and defense against viral predation. This comprehensive genomic analysis expands our understanding on the ecological functions, community interactions, and potential virulence of T. alkaliphila, while emphasizing its adaptability and diverse capabilities across environmental and host-associated ecosystems.IMPORTANCEAs the microbial world continues to be explored, new organisms will emerge with beneficial and/or pathogenetic impact. Thiopseudomonas alkaliphila is a species originally isolated from clinical human tissue and fluid samples but has not been attributed to disease. Since its classification, T. alkaliphila has been found in animal guts, animal waste, decomposing remains, and biogas fermentation reactors. This is the first study to provide an in-depth view of the metabolic potential of publicly available genomes belonging to this species through a comparative genomics and draft pangenome calculation approach. It was found that T. alkaliphila is metabolically versatile and likely adapts to diverse energy sources and environments, which may make it useful for bioremediation and in industrial settings. A range of virulence factors and antibiotic resistances were also detected, suggesting T. alkaliphila may operate as an undescribed opportunistic pathogen.
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Affiliation(s)
- Zachary M. Burcham
- Department of Microbiology, University of Tennessee, Knoxville, Tennessee, USA
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Xian S, Li Y, Liu X, Shen G, Zhou M, Li M, Hou X, Li S, Luo Q, Zhang Z, Chen A. Impact of microorganisms on key processes of organic acid metabolism during the occurrence and disappearance of paocai pellicle. J Food Sci 2024; 89:5047-5064. [PMID: 38922911 DOI: 10.1111/1750-3841.17178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 05/30/2024] [Accepted: 06/03/2024] [Indexed: 06/28/2024]
Abstract
In vegetable fermentation, pellicle is a common quality deterioration phenomenon. This study investigates the characteristics of glucose, organic acids, amino acids, and biogenic amines during the pellicle occurrence and disappearance of paocai. The results revealed a slight increase in pH of the fermentation system after pellicle occurred, and glucose was the main carbohydrate that microbial activity primary relied on. The microorganisms responsible for pellicle formation consumed organic acids in brine, but the lactic acid in paocai gradually increased and exceeded 25 mg/g. The appearance of pellicle caused a decrease in total free amino acids from 200.390 mg/100 g to 172.079 when pellicle occurred, whereas its impact on biogenic amines was not apparent. Through Kyoto Encyclopedia of Genes and Genomes pathway enrichment of metagenomics sequencing data, screening, and sorting of the key enzymes involved in organic acid metabolism, it was observed that the composition and species of the key microorganisms capable of metabolizing organic acids were more abundant before the appearance of pellicle. When pellicle occurred, lactic acid may be metabolized by Lactobacillus plantarum; in contrast, Lactobacillus and Pichia were associated with citric acid metabolism, and Lactobacillus, Pichia, Saccharomycodes, and Kazachstania were linked to malic acid metabolism. Moreover, Prevotella, Kazachstania, Lactobacillus, Vibrio, and Siphonobacter were implicated in succinic acid metabolism. Additionally, the production of tartaric acid and oxalic acid in paocai and brine resulted from abiotic effects. This knowledge offers a theoretical basis for precise control of paocai fermentation process. PRACTICAL APPLICATION: Our study revealed the specific situation of the metabolites produced by the microorganisms during the pollution and recovery process of pellicle in paocai fermentation, especially the effect of pellicle on the key process of organic acid metabolism. These research results provided theoretical basis for precise control of paocai fermentation.
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Affiliation(s)
- Shuang Xian
- College of Food Science, Sichuan Agricultural University, Ya'an, China
| | - Yanlan Li
- College of Food Science, Sichuan Agricultural University, Ya'an, China
| | - Xingyan Liu
- College of Food Science, Sichuan Agricultural University, Ya'an, China
| | - Guanghui Shen
- College of Food Science, Sichuan Agricultural University, Ya'an, China
| | - Man Zhou
- College of Food Science, Sichuan Agricultural University, Ya'an, China
| | - Meiliang Li
- College of Food Science, Sichuan Agricultural University, Ya'an, China
| | - Xiaoyan Hou
- College of Food Science, Sichuan Agricultural University, Ya'an, China
| | - Shanshan Li
- College of Food Science, Sichuan Agricultural University, Ya'an, China
| | - Qingying Luo
- College of Food Science, Sichuan Agricultural University, Ya'an, China
| | - Zhiqing Zhang
- College of Food Science, Sichuan Agricultural University, Ya'an, China
| | - Anjun Chen
- College of Food Science, Sichuan Agricultural University, Ya'an, China
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7
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Zhang Y, Yu P, Tao F. Dynamic Interplay between Microbiota Shifts and Differential Metabolites during Dairy Processing and Storage. Molecules 2024; 29:2745. [PMID: 38930811 PMCID: PMC11206652 DOI: 10.3390/molecules29122745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 05/25/2024] [Accepted: 06/03/2024] [Indexed: 06/28/2024] Open
Abstract
Due to the intricate complexity of the original microbiota, residual heat-resistant enzymes, and chemical components, identifying the essential factors that affect dairy quality using traditional methods is challenging. In this study, raw milk, pasteurized milk, and ultra-heat-treated (UHT) milk samples were collectively analyzed using metagenomic next-generation sequencing (mNGS), high-throughput liquid chromatography-mass spectrometry (LC-MS), and gas chromatography-mass spectrometry (GC-MS). The results revealed that raw milk and its corresponding heated dairy products exhibited different trends in terms of microbiota shifts and metabolite changes during storage. Via the analysis of differences in microbiota and correlation analysis of the microorganisms present in differential metabolites in refrigerated pasteurized milk, the top three differential microorganisms with increased abundance, Microbacterium (p < 0.01), unclassified Actinomycetia class (p < 0.05), and Micrococcus (p < 0.01), were detected; these were highly correlated with certain metabolites in pasteurized milk (r > 0.8). This indicated that these genera were the main proliferating microorganisms and were the primary genera involved in the metabolism of pasteurized milk during refrigeration-based storage. Microorganisms with decreased abundance were classified into two categories based on correlation analysis with certain metabolites. It was speculated that the heat-resistant enzyme system of a group of microorganisms with high correlation (r > 0.8), such as Pseudomonas and Acinetobacter, was the main factor causing milk spoilage and that the group with lower correlation (r < 0.3) had a lower impact on the storage process of pasteurized dairy products. By comparing the metabolic pathway results based on metagenomic and metabolite annotation, it was proposed that protein degradation may be associated with microbial growth, whereas lipid degradation may be linked to raw milk's initial heat-resistant enzymes. By leveraging the synergy of metagenomics and metabolomics, the interacting factors determining the quality evolution of dairy products were systematically investigated, providing a novel perspective for controlling dairy processing and storage effectively.
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Affiliation(s)
- Yinan Zhang
- Key Laboratory of Milk and Dairy Products Detection and Monitoring Technology for State Market Regulation, Shanghai Institute of Quality Inspection and Technical Research, Shanghai 200233, China
| | - Peng Yu
- State Key Laboratory of Dairy Biotechnology, Shanghai Engineering Research Center of Dairy Biotechnology, Dairy Research Institute, Bright Dairy & Food Co., Ltd., Shanghai 200436, China;
| | - Fei Tao
- State Key Laboratory of Microbial Metabolism, and School of Life Sciences & Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
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8
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Belleggia L, Osimani A. Fermented fish and fermented fish-based products, an ever-growing source of microbial diversity: A literature review. Food Res Int 2023; 172:113112. [PMID: 37689879 DOI: 10.1016/j.foodres.2023.113112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/04/2023] [Accepted: 06/09/2023] [Indexed: 09/11/2023]
Abstract
Fermented fish and fermented fish-based products are part of the diet of many countries all over the world. Their popularity is not only due to the unique flavor, the distinct texture, and the good nutritional quality, but also to the easiness of the production process, that is commonly based on empirical traditional methods. Fish fermentation techniques ususally rely on the combination of some key steps, including salting, addition of spices or additives, and maintenance of anaerobic conditions, thus selecting for the multiplication of some pro-technological microorganisms. The objective of the present review was to provide an overview of the current knowledge of the microbial communities occurring in fermented fish and fish-based products. Specific information was collected from scientific publications published from 2000 to 2022 with the aim of generating a comprehensive database. The production of fermented fish and fish-based foods was mostly localized in West African countries, Northern European countries, and Southeast Asian countries. Based on the available literature, the microbial composition of fermented fish and fish-based products was delineated by using viable counting combined with identification of isolates, and culture-independent techniques. The data obtained from viable counting highlighted the occurrence of microbial groups usually associated with food fermentation, namely lactic acid bacteria, staphylococci, Bacillus spp., and yeasts. The identification of isolates combined with culture-independent methods showed that the fermentative process of fish-based products was generally guided by lactobacilli (Lactiplantibacillus plantarum, Latilactobacillus sakei, and Latilactobacillus curvatus) or Tetragenococcus spp. depending on the salt concentration. Among lactic acid bacteria populations, Lactococcus spp., Pediococcus spp., Leuconostoc spp., Weissella spp., Enterococcus spp., Streptococcus spp., and Vagococcus spp. were frequently identified. Staphylococcus spp. and Bacillus spp. confirmed a great adaptation to fermented fish-based products. Other noteworthy bacterial taxa included Micrococcus spp., Pseudomonas spp., Psychrobacter spp., Halanaerobium spp., and Halomonas spp. Among human pathogenic bacteria, the occurrence of Clostridium spp. and Vibrio spp. was documented. As for yeast populations, the predominance of Candida spp., Debaryomyces spp., and Saccharomyces spp. was evidenced. The present literature review could serve as comprehensive database for the scientific community, and as a reference for the food industry in order to formulate tailored starter or adjunctive cultures for product improvement.
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Affiliation(s)
- Luca Belleggia
- Dipartimento di Scienze Agrarie, Alimentari ed Ambientali, Università Politecnica delle Marche, via Brecce Bianche, Ancona, Italy
| | - Andrea Osimani
- Dipartimento di Scienze Agrarie, Alimentari ed Ambientali, Università Politecnica delle Marche, via Brecce Bianche, Ancona, Italy.
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9
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Li X, Zhang Y, Ma X, Zhang G, Hou H. Effects of a Novel Starter Culture on Quality Improvement and Putrescine, Cadaverine, and Histamine Inhibition of Fermented Shrimp Paste. Foods 2023; 12:2833. [PMID: 37569102 PMCID: PMC10416889 DOI: 10.3390/foods12152833] [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: 05/27/2023] [Revised: 07/06/2023] [Accepted: 07/24/2023] [Indexed: 08/13/2023] Open
Abstract
Fermented shrimp paste is a popular food in Asian countries. However, biogenic amines (BAs) are a typically associated hazard commonly found during the fermentation of shrimp paste and pose a food-safety danger. In this work, an autochthonic salt-tolerant Tetragenococcus muriaticus TS (T. muriaticus TS) strain was used as a starter culture for grasshopper sub shrimp paste fermentation. It was found that with the starter culture, putrescine, cadaverine, and histamine concentrations were significantly lower (p < 0.05) with a maximal reduction of 19.20%, 14.01%, and 28.62%, respectively. According to high-throughput sequencing data, T. muriaticus TS could change the interactions between species and reduce the abundance of bacterial genera positively associated with BAs, therefore inhibiting the BA accumulation during shrimp paste fermentation. Moreover, the volatile compounds during the fermentation process were also assessed by HS-SPME-GC-MS. With the starter added, the content of pyrazines increased, while the off-odor amines decreased. The odor of the shrimp paste was successfully improved. These results indicate that T. muriaticus TS can be used as an appropriate starter culture for improving the safety and quality of grasshopper sub shrimp paste.
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Affiliation(s)
- Xinyu Li
- School of Food Science and Technology, Dalian Polytechnic University, No. 1 Qinggongyuan, Ganjingzi District, Dalian 116034, China; (X.L.); (Y.Z.); (X.M.); (G.Z.)
- Liaoning Key Lab for Aquatic Processing Quality and Safety, No. 1 Qinggongyuan, Ganjingzi District, Dalian 116034, China
| | - Yang Zhang
- School of Food Science and Technology, Dalian Polytechnic University, No. 1 Qinggongyuan, Ganjingzi District, Dalian 116034, China; (X.L.); (Y.Z.); (X.M.); (G.Z.)
- Liaoning Key Lab for Aquatic Processing Quality and Safety, No. 1 Qinggongyuan, Ganjingzi District, Dalian 116034, China
| | - Xinxiu Ma
- School of Food Science and Technology, Dalian Polytechnic University, No. 1 Qinggongyuan, Ganjingzi District, Dalian 116034, China; (X.L.); (Y.Z.); (X.M.); (G.Z.)
- Liaoning Key Lab for Aquatic Processing Quality and Safety, No. 1 Qinggongyuan, Ganjingzi District, Dalian 116034, China
| | - Gongliang Zhang
- School of Food Science and Technology, Dalian Polytechnic University, No. 1 Qinggongyuan, Ganjingzi District, Dalian 116034, China; (X.L.); (Y.Z.); (X.M.); (G.Z.)
- Liaoning Key Lab for Aquatic Processing Quality and Safety, No. 1 Qinggongyuan, Ganjingzi District, Dalian 116034, China
| | - Hongman Hou
- School of Food Science and Technology, Dalian Polytechnic University, No. 1 Qinggongyuan, Ganjingzi District, Dalian 116034, China; (X.L.); (Y.Z.); (X.M.); (G.Z.)
- Liaoning Key Lab for Aquatic Processing Quality and Safety, No. 1 Qinggongyuan, Ganjingzi District, Dalian 116034, China
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10
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Li Y, Leng W, Xue J, Yuan L, Liu H, Gao R. A multi-omics-based investigation into the flavor formation mechanisms during the fermentation of traditional Chinese shrimp paste. Food Res Int 2023; 166:112585. [PMID: 36914317 DOI: 10.1016/j.foodres.2023.112585] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 02/03/2023] [Accepted: 02/05/2023] [Indexed: 02/11/2023]
Abstract
The fermentation process of traditional shrimp paste is closely associated with the production of flavor substances, but the formation mechanism of key aroma components is still unclear. In this study, a comprehensively flavor profile analysis of traditional fermented shrimp paste was carried out by E-nose and SPME-GC-MS. A total of 17 key volatile aroma components with OAV > 1 contributed greatly to the overall flavor formation of shrimp paste. In addition, high-throughput sequencing (HTS) analysis revealed that Tetragenococcus was the dominant genera in the whole fermentation process. Moreover, metabolomics analysis showed that the oxidation and degradation of lipids, protein, organic acids and amino acids produced a large number of flavor substances and intermediates, which laid the foundation for the Maillard reaction in term of generating the distinct aroma of the traditional shrimp paste. This work will provide theoretical support for the realization of flavor regulation and quality control in traditional fermented foods.
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Affiliation(s)
- Ying Li
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Weijun Leng
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Jiani Xue
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Li Yuan
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Hongying Liu
- Ocean College, Hebei Agriculture University, Qinhuangdao 066000, China
| | - Ruichang Gao
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
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11
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Xiao N, Xu H, Hu Y, Zhang Y, Guo Q, Shi W. Unraveling the microbial succession during the natural fermentation of grass carp and their correlation with volatile flavor formation. Food Res Int 2023; 165:112556. [PMID: 36869460 DOI: 10.1016/j.foodres.2023.112556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 01/21/2023] [Accepted: 01/29/2023] [Indexed: 02/05/2023]
Abstract
Complex microbial communities contribute significantly to the flavor formation of traditional fermented fish products. However, the relationship between microorganisms and flavor formation in traditional fermented grass carp products is still unclear. In this study, the diversity and succession of microbial communities and the variation of volatile compounds during natural fermentation of grass carp were analyzed using high-throughput sequencing of 16S rRNA and headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS), respectively. The core functional microorganism and key volatile compounds were identified, and their potential relationship was revealed using a correlation network model analysis. The microbial community analysis result showed that the microbial diversity during natural fermentation of grass carp decreased markedly with increasing fermentation time, and Lactiplantibacillus, Staphylococcus, and Enterobacter were the dominant genera in naturally fermented grass carp. HS-SPME-GC-MS analysis result showed that 45 volatile compounds were identified from fermented samples, among which 13 compounds (e.g., hexanal, heptanal, nonanal, decanal, 3-octanone, 3-methyl-1-butanol, 1-hexanol, 1-heptanol, 1-octen-3-ol, 1-octanol, ethyl acetate, 3-methyl-1-butanol acetate, and 2-methoxy-4-vinylphenol) were identified as the key volatile compounds. Additionally, the correlation network model analysis result revealed that Lactiplantibacillus showed significantly positive correlations with most of the key volatile compounds, making an important contribution to the formation of volatile flavor in naturally fermented grass carp. This study may lead to an understanding of the role of core functional microorganisms in the formation of volatile flavor during the natural fermentation of grass carp and provide some theoretical guidance for the industrial production of high-quality fermented grass carp products.
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Affiliation(s)
- Naiyong Xiao
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Huiya Xu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Yun Hu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Yurui Zhang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Quanyou Guo
- East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, China.
| | - Wenzheng Shi
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai), Shanghai 201306, China.
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12
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Ferrocino I, Rantsiou K, McClure R, Kostic T, de Souza RSC, Lange L, FitzGerald J, Kriaa A, Cotter P, Maguin E, Schelkle B, Schloter M, Berg G, Sessitsch A, Cocolin L. The need for an integrated multi-OMICs approach in microbiome science in the food system. Compr Rev Food Sci Food Saf 2023; 22:1082-1103. [PMID: 36636774 DOI: 10.1111/1541-4337.13103] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 12/05/2022] [Accepted: 12/19/2022] [Indexed: 01/14/2023]
Abstract
Microbiome science as an interdisciplinary research field has evolved rapidly over the past two decades, becoming a popular topic not only in the scientific community and among the general public, but also in the food industry due to the growing demand for microbiome-based technologies that provide added-value solutions. Microbiome research has expanded in the context of food systems, strongly driven by methodological advances in different -omics fields that leverage our understanding of microbial diversity and function. However, managing and integrating different complex -omics layers are still challenging. Within the Coordinated Support Action MicrobiomeSupport (https://www.microbiomesupport.eu/), a project supported by the European Commission, the workshop "Metagenomics, Metaproteomics and Metabolomics: the need for data integration in microbiome research" gathered 70 participants from different microbiome research fields relevant to food systems, to discuss challenges in microbiome research and to promote a switch from microbiome-based descriptive studies to functional studies, elucidating the biology and interactive roles of microbiomes in food systems. A combination of technologies is proposed. This will reduce the biases resulting from each individual technology and result in a more comprehensive view of the biological system as a whole. Although combinations of different datasets are still rare, advanced bioinformatics tools and artificial intelligence approaches can contribute to understanding, prediction, and management of the microbiome, thereby providing the basis for the improvement of food quality and safety.
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Affiliation(s)
- Ilario Ferrocino
- Department of Agriculture, Forest and Food Science, University of Turin, Grugliasco, Italy
| | - Kalliopi Rantsiou
- Department of Agriculture, Forest and Food Science, University of Turin, Grugliasco, Italy
| | - Ryan McClure
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Tanja Kostic
- AIT Austrian Institute of Technology GmbH, Bioresources Unit, Tulln, Austria
| | - Rafael Soares Correa de Souza
- Genomics for Climate Change Research Center (GCCRC), Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Lene Lange
- BioEconomy, Research & Advisory, Valby, Denmark
| | - Jamie FitzGerald
- Teagasc Food Research Centre, Moorepark, Fermoy, County Cork, Ireland
| | - Aicha Kriaa
- MICALIS, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - Paul Cotter
- Teagasc Food Research Centre, Moorepark, Fermoy, County Cork, Ireland
| | - Emmanuelle Maguin
- MICALIS, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | | | | | - Gabriele Berg
- Institute of Environmental Biotechnology, Graz University of Technology, Graz, Austria
| | - Angela Sessitsch
- AIT Austrian Institute of Technology GmbH, Bioresources Unit, Tulln, Austria
| | - Luca Cocolin
- Department of Agriculture, Forest and Food Science, University of Turin, Grugliasco, Italy
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13
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Lv J, Lin X, Liu M, Yan X, Liang H, Ji C, Li S, Zhang S, Chen Y, Zhu B. Effect of Saccharomyces cerevisiae LXPSC1 on microorganisms and metabolites of sour meat during the fermentation. Food Chem 2023; 402:134213. [DOI: 10.1016/j.foodchem.2022.134213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 08/20/2022] [Accepted: 09/09/2022] [Indexed: 10/14/2022]
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14
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Tuly JA, Ma H, Zabed HM, Janet Q, Godana EA, Chen G, Ekumah JN. Potentiality assessment of microbial action on combined agri-food industrial wastes in amino acids catabolism. J Funct Foods 2023. [DOI: 10.1016/j.jff.2022.105377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
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15
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Deng W, Wang M, Li Z, Liu G, Liu Z, Yu H, Liu J. Effect of the changs of microbial community on flavor components of traditional soybean paste during storage period. Food Res Int 2022; 161:111866. [DOI: 10.1016/j.foodres.2022.111866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 07/30/2022] [Accepted: 08/21/2022] [Indexed: 11/04/2022]
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16
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Wang A, Xiao T, Xi H, Qin W, He Y, Nie M, Chen Z, Wang L, Liu L, Wang F, Tong LT. Edible qualities, microbial compositions and volatile compounds in fresh fermented rice noodles fermented with different starter cultures. Food Res Int 2022; 156:111184. [DOI: 10.1016/j.foodres.2022.111184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/19/2022] [Accepted: 03/22/2022] [Indexed: 11/04/2022]
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17
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Ferrocino I, Rantsiou K, Cocolin L. Microbiome and -omics application in food industry. Int J Food Microbiol 2022; 377:109781. [DOI: 10.1016/j.ijfoodmicro.2022.109781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 05/31/2022] [Accepted: 06/03/2022] [Indexed: 11/30/2022]
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18
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Blanco-Picazo P, Gómez-Gómez C, Tormo M, Ramos-Barbero MD, Rodríguez-Rubio L, Muniesa M. Prevalence of bacterial genes in the phage fraction of food viromes. Food Res Int 2022; 156:111342. [DOI: 10.1016/j.foodres.2022.111342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/15/2022] [Accepted: 05/03/2022] [Indexed: 11/04/2022]
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19
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Characterization of volatile compounds and physicochemical properties of hongeo using headspace solid-phase microextraction and gas chromatography-mass spectrometry during fermentation. FOOD BIOSCI 2021. [DOI: 10.1016/j.fbio.2021.101379] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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20
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Anihouvi DGH, Henriet O, Kpoclou YE, Scippo M, Hounhouigan DJ, Anihouvi VB, Mahillon J. Bacterial diversity of smoked and smoked‐dried fish from West Africa: A metagenomic approach. J FOOD PROCESS PRES 2021. [DOI: 10.1111/jfpp.15919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Dona G. H. Anihouvi
- Laboratory of Food and Environmental Microbiology Earth and Life Institute Faculty of Bioscience Engineering Croix du Sud Louvain‐la‐Neuve Belgium
- Laboratory of Food Sciences School of Nutrition, Food Sciences and Technology Faculty of Agronomic Sciences University of Abomey‐Calavi Jericho‐Cotonou Benin
| | - Olivier Henriet
- Laboratory of Food and Environmental Microbiology Earth and Life Institute Faculty of Bioscience Engineering Croix du Sud Louvain‐la‐Neuve Belgium
| | - Yénoukounmè Euloge Kpoclou
- Laboratory of Food Sciences School of Nutrition, Food Sciences and Technology Faculty of Agronomic Sciences University of Abomey‐Calavi Jericho‐Cotonou Benin
| | - Marie‐Louise Scippo
- Department of Food Sciences Laboratory of Food Analysis Faculty of Veterinary Medicine Fundamental and Applied Research for Animals & Health (FARAH) Veterinary Public HealthUniversity of Liège Liège Belgium
| | - Djidjoho Joseph Hounhouigan
- Laboratory of Food Sciences School of Nutrition, Food Sciences and Technology Faculty of Agronomic Sciences University of Abomey‐Calavi Jericho‐Cotonou Benin
| | - Victor Bienvenu Anihouvi
- Laboratory of Food Sciences School of Nutrition, Food Sciences and Technology Faculty of Agronomic Sciences University of Abomey‐Calavi Jericho‐Cotonou Benin
| | - Jacques Mahillon
- Laboratory of Food and Environmental Microbiology Earth and Life Institute Faculty of Bioscience Engineering Croix du Sud Louvain‐la‐Neuve Belgium
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21
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Nguyen MH, Shin KC, Lee JK. Fungal Community Analyses of Endophytic Fungi from Two Oak Species, Quercus mongolica and Quercus serrata, in Korea. MYCOBIOLOGY 2021; 49:385-395. [PMID: 34512082 PMCID: PMC8409933 DOI: 10.1080/12298093.2021.1948175] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 05/19/2021] [Accepted: 06/17/2021] [Indexed: 06/13/2023]
Abstract
Fungal endophytes have been recorded in various plant species with a richness of diversity, and their presence plays an essential role in host plant protection against biotic and abiotic stresses. This study applied the Illumina MiSeq sequencing platform based on the amplification of fungal ribosomal ITS2 region to analyze fungal endophytic communities of two oak species (Quercus mongolica and Q. serrata) with different oak wilt disease susceptibilities in Korea. The results showed a total of 230,768 sequencing reads were obtained and clustered at a 97% similarity threshold into 709 operational taxonomic units (OTUs). The OTUs of Q. serrata were higher than that of Q. mongolica with the number of 617 OTUs and 512 OTUs, respectively. Shannon index also showed that Q. serrata had a significantly higher level of fungal diversity than Q. mongolica. Total of OTUs were assigned into 5 fungal phyla, 17 classes, 60 orders, 133 families, 195 genera, and 280 species. Ascomycota was the dominant phylum with 75.11% relative abundance, followed by Basidiomycota with 5.28%. Leptosillia, Aureobasidium and Acanthostigma were the most abundant genera detected in Q. serrata with the average relative abundance of 2.85, 2.76, and 2.19%, respectively. On the other hand, Peltaster, Cladosporium and Monochaetia were the most common genera detected in Q. mongolica with the average relative abundance of 4.83, 3.03, and 2.87%, respectively. Our results indicated that fungal endophytic communities were significantly different between two oak species and these differences could influence responses of host trees to oak wilt disease caused by Raffaelea quercus-mongolicae.
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Affiliation(s)
- Manh Ha Nguyen
- Tree Pathology and Mycology Laboratory, College of Forest and Environmental Sciences, Kangwon National University, Chuncheon, Korea
- Forest Protection Research Center, Vietnamese Academy of Forest Sciences, Hanoi, Vietnam
| | - Keum Chul Shin
- Department of Forest Environmental Resources, College of Agriculture and Life Sciences, Gyeongsang National University (Institute of Agriculture and Life Science), Jinju, Korea
| | - Jong Kyu Lee
- Tree Pathology and Mycology Laboratory, College of Forest and Environmental Sciences, Kangwon National University, Chuncheon, Korea
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22
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Recent developments on production, purification and biological activity of marine peptides. Food Res Int 2021; 147:110468. [PMID: 34399466 DOI: 10.1016/j.foodres.2021.110468] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 05/18/2021] [Accepted: 05/23/2021] [Indexed: 12/11/2022]
Abstract
Marine peptides are one of the richest sources of structurally diverse bioactive compounds and a considerable attention has been drawn towards their production and bioactivity. However, there is a paucity in consolidation of emerging trends encompassing both production techniques and biological application. Herein, we intend to review the recent advancements on different production, purification and identification technologies used for marine peptides along with presenting their potential health benefits. Bibliometric analysis revealed a growing number of scientific publications on marine peptides (268 documents per year) with both Asia (37.2%) and Europe (33.1%) being the major contributors. Extraction and purification by ultrafiltration and enzymatic hydrolysis, followed by identification by chromatographic techniques coupled with an appropriate detector could yield a high content of peptides with improved bioactivity. Moreover, the multifunctional health benefits exerted by marine peptides including anti-microbial, antioxidant, anti-hypertension, anti-diabetes and anti-cancer along with their structure-activity relationship were presented. The future perspective on marine peptide research should focus on finding improved separation and purification technologies with enhanced selectivity and resolution for obtaining more novel peptides with high yield and low cost. In addition, by employing encapsulation strategies such as nanoemulsion and nanoliposome, oral bioavailability and bioactivity of peptides can be greatly enhanced. Also, the potential health benefits that are demonstrated by in vitro and in vivo models should be validated by conducting human clinical trials for a technology transfer from bench to bedside.
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23
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Wang Y, Shen Y, Wu Y, Li C, Li L, Zhao Y, Hu X, Wei Y, Huang H. Comparison of the microbial community and flavor compounds in fermented mandarin fish (Siniperca chuatsi): Three typical types of Chinese fermented mandarin fish products. Food Res Int 2021; 144:110365. [PMID: 34053558 DOI: 10.1016/j.foodres.2021.110365] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 03/30/2021] [Accepted: 04/03/2021] [Indexed: 01/21/2023]
Abstract
Fermented mandarin fish have been receiving attention from consumers due to their nutritional value and specific flavor. Microbial diversity in fermented mandarin fish has an important impact on their flavor and quality. However, little is known about the microbiome and the differences among different products. In this study, the bacterial profiles and flavor compounds in three typical fermented mandarin fish products were investigated and compared, and a correlation network was used to explore the potential relationship between microorganisms and flavor. Bacterial community analysis demonstrated clear differences in microbiota among the HF-, MF-, and OF-fermented mandarin fish products. Psychrilyobacter, Fusobacterium, and Vibrio were the most dominant in the HF-, MF-, and OF-fermented products, respectively. In addition, 14, 12, and 4 flavor substances (relative odor activity value, ROAV ≥ 1) were detected in the muscles from the central dorsal and ventral sides of the three samples, respectively. Several bacteria correlated with the production of important flavor compounds, and three genera (Arcobacter, Psychrilyobacter, and Shewanella) were the primary microorganisms contributing to more than six characteristic flavor compounds in fermented mandarin fish products. Therefore, the study's systematic method allows identificating important microbes and characteristic volatile flavor compounds in fermented mandarin fish and provides new insights into the relationship between microorganisms and flavor.
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Affiliation(s)
- Yueqi Wang
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, National Research and Development Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; Sanya Tropical Fisheries Research Institute, Sanya 572018, China
| | - Yingying Shen
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, National Research and Development Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; College of Food and Pharmacy, Zhejiang Ocean University, Zhoushan 316022, China
| | - Yanyan Wu
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, National Research and Development Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China.
| | - Chunsheng Li
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, National Research and Development Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China
| | - Laihao Li
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, National Research and Development Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China
| | - Yongqiang Zhao
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, National Research and Development Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China
| | - Xiao Hu
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, National Research and Development Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China
| | - Ya Wei
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, National Research and Development Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China
| | - Hui Huang
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, National Research and Development Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China
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24
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Shen Y, Wu Y, Wang Y, Li L, Li C, Zhao Y, Yang S. Contribution of autochthonous microbiota succession to flavor formation during Chinese fermented mandarin fish (Siniperca chuatsi). Food Chem 2021; 348:129107. [PMID: 33515949 DOI: 10.1016/j.foodchem.2021.129107] [Citation(s) in RCA: 74] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 12/14/2020] [Accepted: 01/08/2021] [Indexed: 02/06/2023]
Abstract
Complex microbial metabolism is key to the unique flavor formation of Chinese fermented mandarin fish (Siniperca chuatsi). However, the association between microorganisms and production of specific flavor components during fermentation is unclear. In this study, headspace-solid-phase microextraction-gas chromatography -mass spectrometry was performed to identify flavor components in fermented samples of S. chuatsi, and high-throughput sequencing of 16S rRNA was conducted to identify the diversity and succession of microbial communities. A correlation network model was adopted to predict the relationship between key microorganisms and flavor formation. The results revealed alcohols, nitrogen compounds, aldehydes, and esters as the main flavor components, and three microbial genera (Psychrilyobacter, Fusobacterium, and Acidaminococcus) were closely associated with the production of these components. These microorganisms contributed to formation of characteristic flavor substances such as linalool, trimethylamine, indole, and Geranyl acetate. This study improves the understanding of different roles of microorganisms in flavor formation during mandarin fish fermentation.
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Affiliation(s)
- Yingying Shen
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; College of Food and Pharmacy, Zhejiang Ocean University, Zhoushan 316022, China
| | - Yanyan Wu
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China
| | - Yueqi Wang
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China.
| | - Laihao Li
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China.
| | - Chunsheng Li
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China
| | - Yongqiang Zhao
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China
| | - Shaoling Yang
- Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China
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25
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Bhutia MO, Thapa N, Shangpliang HNJ, Tamang JP. High-throughput sequence analysis of bacterial communities and their predictive functionalities in traditionally preserved fish products of Sikkim, India. Food Res Int 2020; 143:109885. [PMID: 33992337 DOI: 10.1016/j.foodres.2020.109885] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 10/30/2020] [Accepted: 10/31/2020] [Indexed: 12/31/2022]
Abstract
Traditionally preserved fish products viz. suka ko maccha, a smoked fish product, sidra and sukuti, sun-dried fish products are commonly consumed in Sikkim state in India. Bacterial communities in these fish products were analysed by high-throughput sequence (HTS) method supported by bioinformatics tool. Metataxonomic of the overall bacterial communities in samples revealed the abundance of phylum Firmicutes followed by Proteobacteria. Psychrobacter was abundant genus in all traditionally preserved fish products of Sikkim, followed by Bacillus, Staphylococcus, Serratia, Clostridium, Enterobacter, Pseudomonas, Rummeliibacillus, Enterococcus, Photobacterium, Myroides, Peptostreptococcus, Plesiomonas and Achromobacter. Product-wise distribution showed that Bacillus was abundant in suka ko maacha and sidra samples, whereas Psychrobacter was abundant in sukuti samples. Unique genus to each product was observed on the basis of analysis of shared operational-taxonomic-unit (OTU) contents, Alpha diversity indices showed significantly differences among the samples, and also showed maximum coverage as per Good's coverage (0.99). Beta diversity showed clustering of bacterial compositions between suka ko maacha and sidra, whereas sukuti showed scattering pattern among the other samples, indicating a diverse population in suka ko maacha and sidra samples. Non-parametric analysis of abundant genera and predictive functionalities showed the complex bacterial inter-dependencies with predictive functionalities mostly in metabolism (79.88%).
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Affiliation(s)
- Meera Ongmu Bhutia
- DAICENTER (DBT-AIST International Centre for Translational and Environmental Research) and Bioinformatics Centre, Department of Microbiology, School of Life Sciences, Sikkim University, Gangtok 737102, Sikkim, India
| | - Namrata Thapa
- Biotech Hub, Department of Zoology, Nar Bahadur Bhandari Degree College, Sikkim University, Tadong 737102, Sikkim, India.
| | - H Nakibapher Jones Shangpliang
- DAICENTER (DBT-AIST International Centre for Translational and Environmental Research) and Bioinformatics Centre, Department of Microbiology, School of Life Sciences, Sikkim University, Gangtok 737102, Sikkim, India
| | - Jyoti Prakash Tamang
- DAICENTER (DBT-AIST International Centre for Translational and Environmental Research) and Bioinformatics Centre, Department of Microbiology, School of Life Sciences, Sikkim University, Gangtok 737102, Sikkim, India.
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