1
|
Botta C, Buzzanca D, Chiarini E, Chiesa F, Rubiola S, Ferrocino I, Fontanella E, Rantsiou K, Houf K, Alessandria V. Microbial contamination pathways in a poultry abattoir provided clues on the distribution and persistence of Arcobacter spp. Appl Environ Microbiol 2024; 90:e0029624. [PMID: 38647295 PMCID: PMC11107157 DOI: 10.1128/aem.00296-24] [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: 02/17/2024] [Accepted: 03/29/2024] [Indexed: 04/25/2024] Open
Abstract
The consumption of contaminated poultry meat is a significant threat for public health, as it implicates in foodborne pathogen infections, such as those caused by Arcobacter. The mitigation of clinical cases requires the understanding of contamination pathways in each food process and the characterization of resident microbiota in the productive environments, so that targeted sanitizing procedures can be effectively implemented. Nowadays these investigations can benefit from the complementary and thoughtful use of culture- and omics-based analyses, although their application in situ is still limited. Therefore, the 16S-rRNA gene-based sequencing of total DNA and the targeted isolation of Arcobacter spp. through enrichment were performed to reconstruct the environmental contamination pathways within a poultry abattoir, as well as the dynamics and distribution of this emerging pathogen. To that scope, broiler's neck skin and caeca have been sampled during processing, while environmental swabs were collected from surfaces after cleaning and sanitizing. Metataxonomic survey highlighted a negligible impact of fecal contamination and a major role of broiler's skin in determining the composition of the resident abattoir microbiota. The introduction of Arcobacter spp. in the environment was mainly conveyed by this source rather than the intestinal content. Arcobacter butzleri represented one of the most abundant species and was extensively detected in the abattoir by both metataxonomic and enrichment methods, showing higher prevalence than other more thermophilic Campylobacterota. In particular, Arcobacter spp. was recovered viable in the plucking sector with high frequency, despite the adequacy of the sanitizing procedure.IMPORTANCEOur findings have emphasized the persistence of Arcobacter spp. in a modern poultry abattoir and its establishment as part of the resident microbiota in specific environmental niches. Although the responses provided here are not conclusive for the identification of the primary source of contamination, this biogeographic assessment underscores the importance of monitoring Arcobacter spp. from the early stages of the production chain with the integrative support of metataxonomic analysis. Through such combined detection approaches, the presence of this pathogen could be soon regarded as hallmark indicator of food safety and quality in poultry slaughtering.
Collapse
Affiliation(s)
- Cristian Botta
- Department of Agricultural, Forest and Food Sciences, University of Torino, Torino, Italy
| | - Davide Buzzanca
- Department of Agricultural, Forest and Food Sciences, University of Torino, Torino, Italy
| | - Elisabetta Chiarini
- Department of Agricultural, Forest and Food Sciences, University of Torino, Torino, Italy
| | - Francesco Chiesa
- Department of Veterinary Sciences, University of Torino, Torino, Italy
| | - Selene Rubiola
- Department of Veterinary Sciences, University of Torino, Torino, Italy
| | - Ilario Ferrocino
- Department of Agricultural, Forest and Food Sciences, University of Torino, Torino, Italy
| | | | - Kalliopi Rantsiou
- Department of Agricultural, Forest and Food Sciences, University of Torino, Torino, Italy
| | - Kurt Houf
- Department of Veterinary and Biosciences, Faculty of Veterinary Medicine, Ghent University, Ghent, Belgium
| | - Valentina Alessandria
- Department of Agricultural, Forest and Food Sciences, University of Torino, Torino, Italy
| |
Collapse
|
2
|
Afonso CL, Afonso AM. Next-Generation Sequencing for the Detection of Microbial Agents in Avian Clinical Samples. Vet Sci 2023; 10:690. [PMID: 38133241 PMCID: PMC10747646 DOI: 10.3390/vetsci10120690] [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: 10/13/2023] [Revised: 11/24/2023] [Accepted: 11/29/2023] [Indexed: 12/23/2023] Open
Abstract
Direct-targeted next-generation sequencing (tNGS), with its undoubtedly superior diagnostic capacity over real-time PCR (RT-PCR), and direct-non-targeted NGS (ntNGS), with its higher capacity to identify and characterize multiple agents, are both likely to become diagnostic methods of choice in the future. tNGS is a rapid and sensitive method for precise characterization of suspected agents. ntNGS, also known as agnostic diagnosis, does not require a hypothesis and has been used to identify unsuspected infections in clinical samples. Implemented in the form of multiplexed total DNA metagenomics or as total RNA sequencing, the approach produces comprehensive and actionable reports that allow semi-quantitative identification of most of the agents present in respiratory, cloacal, and tissue samples. The diagnostic benefits of the use of direct tNGS and ntNGS are high specificity, compatibility with different types of clinical samples (fresh, frozen, FTA cards, and paraffin-embedded), production of nearly complete infection profiles (viruses, bacteria, fungus, and parasites), production of "semi-quantitative" information, direct agent genotyping, and infectious agent mutational information. The achievements of NGS in terms of diagnosing poultry problems are described here, along with future applications. Multiplexing, development of standard operating procedures, robotics, sequencing kits, automated bioinformatics, cloud computing, and artificial intelligence (AI) are disciplines converging toward the use of this technology for active surveillance in poultry farms. Other advances in human and veterinary NGS sequencing are likely to be adaptable to avian species in the future.
Collapse
|
3
|
Xu X, Rothrock MJ, Mishra A, Kumar GD, Mishra A. Relationship of the Poultry Microbiome to Pathogen Colonization, Farm Management, Poultry Production, and Foodborne Illness Risk Assessment. J Food Prot 2023; 86:100169. [PMID: 37774838 DOI: 10.1016/j.jfp.2023.100169] [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: 04/14/2023] [Revised: 09/20/2023] [Accepted: 09/22/2023] [Indexed: 10/01/2023]
Abstract
Despite the continuous progress in food science and technology, the global burden of foodborne illnesses remains substantial, with pathogens in food causing millions of infections each year. Traditional microbiological culture methods are inadequate in detecting the full spectrum of these microorganisms, highlighting the need for more comprehensive detection strategies. This review paper aims to elucidate the relationship between foodborne pathogen colonization and the composition of the poultry microbiome, and how this knowledge can be used for improved food safety. Our review highlights that the relationship between pathogen colonization varies across different sections of the poultry microbiome. Further, our review suggests that the microbiome profile of poultry litter, farm soil, and farm dust may serve as potential indicators of the farm environment's food safety issues. We also agree that the microbiome of processed chicken samples may reveal potential pathogen contamination and food quality issues. In addition, utilizing predictive modeling techniques on the collected microbiome data, we suggest establishing correlations between particular taxonomic groups and the colonization of pathogens, thus providing insights into food safety, and offering a comprehensive overview of the microbial community. In conclusion, this review underscores the potential of microbiome analysis as a powerful tool in food safety, pathogen detection, and risk assessment.
Collapse
Affiliation(s)
- Xinran Xu
- Department of Food Science and Technology, University of Georgia, Athens, GA, USA
| | - Michael J Rothrock
- Egg Safety and Quality Research Unit, U.S. National Poultry Research Center, Agricultural Research Service, United States Department of Agriculture, Athens, GA, USA
| | - Aditya Mishra
- Department of Statistics, University of Georgia, Athens, GA, USA
| | | | - Abhinav Mishra
- Department of Food Science and Technology, University of Georgia, Athens, GA, USA.
| |
Collapse
|
4
|
Elisseeva S, Bastiaanssen TFS, Santovito E, Zhdanov AV, Cryan JF, Kerry JP, Papkovsky DB. Combining the oxygen sensor based respirometry and 16S rRNA amplicon sequencing for the analysis of microbiota in commercial mince products. Meat Sci 2023; 205:109316. [PMID: 37625355 DOI: 10.1016/j.meatsci.2023.109316] [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: 05/05/2023] [Revised: 08/15/2023] [Accepted: 08/17/2023] [Indexed: 08/27/2023]
Abstract
In this study, rapid respirometric microbial testing was combined with 16S rRNA amplicon sequencing, to assess the composition of microbiota in a total of 64 samples of commercial beef, turkey, lamb and pork mince. The O2 sensor-based respirometry system, while producing the anticipated total aerobic viable counts (TVC) data and patterns for most samples, also revealed unusual (linear) respiration profiles for some samples, mostly lamb and pork mince. The TVC values for beef mince, produced by respirometry and calculated using the available calibration equation, correlated well with the conventional plate counting method, ISO 4833-1:2013, 2013, while for the other species the correlation was less good. These effects, not observed in previous studies employing various food matrices, require further investigation. Using the same samples (crude homogenates) as in respirometry, the whole microbiome was also analysed by 16S rRNA amplicon sequencing for each mince-type. The sequencing showed an overall decrease in alpha diversity over shelf-life, with lamb and pork mince maintaining a proportion of rare taxa. Some taxa exhibited significant changes in abundance over shelf-life and after the respirometric analysis, with beef mince exhibiting a decrease in aerobic bacteria and an increase in facultative anaerobes. Beta diversity was also seen to depend on mince-type. Thus, the combined use of respirometry and sequencing techniques shows promise as a useful and unique analytical approach for food quality and safety evaluation, However, more data points and in-depth analysis are required to back up the findings of this initial study.
Collapse
Affiliation(s)
- Sophia Elisseeva
- School of Biochemistry and Cell Biology, University College Cork, Pharmacy Building, College Road, Cork, Ireland
| | - Thomaz F S Bastiaanssen
- Alimentary Pharmabiotic Centre, University College Cork, College Road, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, College Road, Cork, Ireland
| | - Elisa Santovito
- School of Biochemistry and Cell Biology, University College Cork, Pharmacy Building, College Road, Cork, Ireland; Institute of Sciences of Food Production, National Research Council of Italy (ISPA-CNR), Bari, Italy
| | - Alexander V Zhdanov
- School of Biochemistry and Cell Biology, University College Cork, Pharmacy Building, College Road, Cork, Ireland
| | - John F Cryan
- Alimentary Pharmabiotic Centre, University College Cork, College Road, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, College Road, Cork, Ireland
| | - Joe P Kerry
- School of Food and Nutritional Science, University College Cork, College Road, Cork, Ireland
| | - Dmitri B Papkovsky
- School of Biochemistry and Cell Biology, University College Cork, Pharmacy Building, College Road, Cork, Ireland.
| |
Collapse
|
5
|
Torgby-Tetteh W, Krishnamoorthy S, Buys EM. Exploration of Infant Food Microbial Composition from Formal and Informal Settings Using Viable Counts and 16S rRNA Gene Amplicon Sequencing in Johannesburg, South Africa. Foods 2023; 12:3596. [PMID: 37835249 PMCID: PMC10572494 DOI: 10.3390/foods12193596] [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: 08/20/2023] [Revised: 09/19/2023] [Accepted: 09/22/2023] [Indexed: 10/15/2023] Open
Abstract
Diarrhoea is a considerable agent of disease and loss of life in children below age five in South Africa. Soweto, South Africa is an urban township in Johannesburg, with most of its population living in informal settlements. Informal settlements in areas such as Soweto are often impoverished communities that do not get water easily, inadequate sanitation is pervasive, and poor hygiene common (risk factors for diarrhoeal diseases). Among the age groups, infants are most vulnerable to diarrhoeal infection, mainly through the ingestion of food and water. The presence of undesirable microbiota is a food safety and health challenge. This study investigated the microbiome of infant food samples collected from formal (n = 19) and informal (n = 11) households in Soweto. A non-culture-dependent technique was used to characterise the bacterial diversity and composition of the infant food samples. The results indicated that household type did not influence microbial diversity and composition in Soweto. South Africa. Firmicutes, Proteobacteria, Cyanobacteria, and Tenericutes dominated the phyla rank in food samples from formal and informal households. Potential pathogens of public health significance, including diarrhoeal disease agents such as Salmonella spp., E. coli, and Campylobacter spp., were detected within the foods. We concluded that the infant food samples showed rich bacterial diversity, and the presence of potential pathogens of public health significance suggests a disease risk that infants may face upon consuming the foods.
Collapse
Affiliation(s)
- Wellington Torgby-Tetteh
- Department of Consumer and Food Sciences, University of Pretoria, Private Bag X20, Hatfield, Pretoria 0028, South Africa; (W.T.-T.); (S.K.)
| | - Srinivasan Krishnamoorthy
- Department of Consumer and Food Sciences, University of Pretoria, Private Bag X20, Hatfield, Pretoria 0028, South Africa; (W.T.-T.); (S.K.)
- National Institute of Food Technology, Entrepreneurship and Management-Thanjavur (NIFTEM-T), Thanjavur 613005, India
| | - Elna M. Buys
- Department of Consumer and Food Sciences, University of Pretoria, Private Bag X20, Hatfield, Pretoria 0028, South Africa; (W.T.-T.); (S.K.)
| |
Collapse
|
6
|
Papkovsky DB, Kerry JP. Oxygen Sensor-Based Respirometry and the Landscape of Microbial Testing Methods as Applicable to Food and Beverage Matrices. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23094519. [PMID: 37177723 PMCID: PMC10181535 DOI: 10.3390/s23094519] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 04/19/2023] [Accepted: 04/27/2023] [Indexed: 05/15/2023]
Abstract
The current status of microbiological testing methods for the determination of viable bacteria in complex sample matrices, such as food samples, is the focus of this review. Established methods for the enumeration of microorganisms, particularly, the 'gold standard' agar plating method for the determination of total aerobic viable counts (TVC), bioluminescent detection of total ATP, selective molecular methods (immunoassays, DNA/RNA amplification, sequencing) and instrumental methods (flow cytometry, Raman spectroscopy, mass spectrometry, calorimetry), are analyzed and compared with emerging oxygen sensor-based respirometry techniques. The basic principles of optical O2 sensing and respirometry and the primary materials, detection modes and assay formats employed are described. The existing platforms for bacterial cell respirometry are then described, and examples of particular assays are provided, including the use of rapid TVC tests of food samples and swabs, the toxicological screening and profiling of cells and antimicrobial sterility testing. Overall, O2 sensor-based respirometry and TVC assays have high application potential in the food industry and related areas. They detect viable bacteria via their growth and respiration; the assay is fast (time to result is 2-8 h and dependent on TVC load), operates with complex samples (crude homogenates of food samples) in a simple mix-and-measure format, has low set-up and instrumentation costs and is inexpensive and portable.
Collapse
Affiliation(s)
- Dmitri B Papkovsky
- School of Biochemistry and Cell Biology, University College Cork, Pharmacy Building, College Road, T12 YT20 Cork, Ireland
| | - Joseph P Kerry
- School of Food and Nutritional Sciences, University College Cork, Microbiology Building, College Road, T12 YT20 Cork, Ireland
| |
Collapse
|
7
|
Bacterial community identification in poultry carcasses using high-throughput next generation sequencing. Int J Food Microbiol 2022; 364:109533. [DOI: 10.1016/j.ijfoodmicro.2022.109533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 01/03/2022] [Accepted: 01/04/2022] [Indexed: 11/24/2022]
|
8
|
Pennone V, Cobo-Díaz JF, Prieto M, Alvarez-Ordóñez A. Application of genomics and metagenomics to improve food safety based on an enhanced characterisation of antimicrobial resistance. Curr Opin Food Sci 2022. [DOI: 10.1016/j.cofs.2021.12.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
|
9
|
Jang HB, Chittick L, Li YF, Zablocki O, Sanderson CM, Carrillo A, van den Engh G, Sullivan MB. Viral tag and grow: a scalable approach to capture and characterize infectious virus-host pairs. ISME COMMUNICATIONS 2022; 2:12. [PMID: 37938680 PMCID: PMC9723727 DOI: 10.1038/s43705-022-00093-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 01/06/2022] [Accepted: 01/13/2022] [Indexed: 04/27/2023]
Abstract
Viral metagenomics (viromics) has reshaped our understanding of DNA viral diversity, ecology, and evolution across Earth's ecosystems. However, viromics now needs approaches to link newly discovered viruses to their host cells and characterize them at scale. This study adapts one such method, sequencing-enabled viral tagging (VT), to establish "Viral Tag and Grow" (VT + Grow) to rapidly capture and characterize viruses that infect a cultivated target bacterium, Pseudoalteromonas. First, baseline cytometric and microscopy data improved understanding of how infection conditions and host physiology impact populations in VT flow cytograms. Next, we extensively evaluated "and grow" capability to assess where VT signals reflect adsorption alone or wholly successful infections that lead to lysis. Third, we applied VT + Grow to a clonal virus stock, which, coupled to traditional plaque assays, revealed significant variability in burst size-findings that hint at a viral "individuality" parallel to the microbial phenotypic heterogeneity literature. Finally, we established a live protocol for public comment and improvement via protocols.io to maximally empower the research community. Together these efforts provide a robust foundation for VT researchers, and establish VT + Grow as a promising scalable technology to capture and characterize viruses from mixed community source samples that infect cultivable bacteria.
Collapse
Affiliation(s)
- Ho Bin Jang
- Department of Microbiology, The Ohio State University, Columbus, OH, USA
| | - Lauren Chittick
- Department of Microbiology, The Ohio State University, Columbus, OH, USA
| | - Yueh-Fen Li
- Department of Microbiology, The Ohio State University, Columbus, OH, USA
| | - Olivier Zablocki
- Department of Microbiology, The Ohio State University, Columbus, OH, USA
| | | | - Alfonso Carrillo
- Department of Microbiology, The Ohio State University, Columbus, OH, USA
| | | | - Matthew B Sullivan
- Department of Microbiology, The Ohio State University, Columbus, OH, USA.
- Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, OH, USA.
- Center of Microbiome Science, The Ohio State University, Columbus, OH, USA.
| |
Collapse
|
10
|
Pilot Study on Poultry Meat from Antibiotic Free and Conventional Farms: Can Metagenomics Detect Any Difference? Foods 2022; 11:foods11030249. [PMID: 35159402 PMCID: PMC8834493 DOI: 10.3390/foods11030249] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 01/13/2022] [Indexed: 02/04/2023] Open
Abstract
Antibiotic free farms are increasing in the poultry sector in order to address new EU regulations and consumer concerns. In this pilot study, we investigated whether the efforts of raising chickens without the use antibiotics make any difference in the microbiome of poultry meat eaten by consumers. To this aim we compared the microbiomes characterizing caeca and the corresponding carcasses of two groups of chickens reared, one reared on a conventional farm and one on an antibiotic-free intensive farm. The results showed a clear separation between the taxonomic, functional and antibiotic resistant genes in the caeca of the birds reared on the conventional and antibiotic free farm. However, that separation was completely lost on carcasses belonging to the two groups. The antibiotic-free production resulted in statistically significant lower antimicrobial resistance load in the caeca in comparison to the conventional production. Moreover, the antimicrobial resistance load on carcasses was much higher than in the caeca, without any significant difference between carcasses coming from the two types of farms. All in all, the results of this research highlighted the need to reduce sources of microbial contamination and antimicrobial resistance not only at the farm level but also at the post-harvest one.
Collapse
|
11
|
Yap M, Ercolini D, Álvarez-Ordóñez A, O'Toole PW, O'Sullivan O, Cotter PD. Next-Generation Food Research: Use of Meta-Omic Approaches for Characterizing Microbial Communities Along the Food Chain. Annu Rev Food Sci Technol 2021; 13:361-384. [PMID: 34678075 DOI: 10.1146/annurev-food-052720-010751] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Microorganisms exist along the food chain and impact the quality and safety of foods in both positive and negative ways. Identifying and understanding the behavior of these microbial communities enable the implementation of preventative or corrective measures in public health and food industry settings. Current culture-dependent microbial analyses are time-consuming and target only specific subsets of microbes. However, the greater use of culture-independent meta-omic approaches has the potential to facilitate a thorough characterization of the microbial communities along the food chain. Indeed, these methods have shown potential in contributing to outbreak investigation, ensuring food authenticity, assessing the spread of antimicrobial resistance, tracking microbial dynamics during fermentation and processing, and uncovering the factors along the food chain that impact food quality and safety. This review examines the community-based approaches, and particularly the application of sequencing-based meta-omics strategies, for characterizing microbial communities along the food chain. Expected final online publication date for the Annual Review of Food Science and Technology, Volume 13 is March 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
Collapse
Affiliation(s)
- Min Yap
- Teagasc Food Research Centre, Moorepark, Fermoy, County Cork, Ireland; .,School of Microbiology, University College Cork, County Cork, Ireland
| | - Danilo Ercolini
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy.,Task Force on Microbiome Studies, University of Naples Federico II, Naples, Italy
| | - Avelino Álvarez-Ordóñez
- Department of Food Hygiene and Technology, Universidad de León, León, Spain.,Institute of Food Science and Technology, Universidad de León, León, Spain
| | - Paul W O'Toole
- School of Microbiology, University College Cork, County Cork, Ireland.,APC Microbiome Ireland, University College Cork, County Cork, Ireland
| | - Orla O'Sullivan
- Teagasc Food Research Centre, Moorepark, Fermoy, County Cork, Ireland; .,APC Microbiome Ireland, University College Cork, County Cork, Ireland.,VistaMilk SFI Research Centre, Moorepark, Fermoy, County Cork, Ireland
| | - Paul D Cotter
- Teagasc Food Research Centre, Moorepark, Fermoy, County Cork, Ireland; .,APC Microbiome Ireland, University College Cork, County Cork, Ireland.,VistaMilk SFI Research Centre, Moorepark, Fermoy, County Cork, Ireland
| |
Collapse
|
12
|
The changing microbiome of poultry meat; from farm to fridge. Food Microbiol 2021; 99:103823. [PMID: 34119108 DOI: 10.1016/j.fm.2021.103823] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 04/24/2021] [Accepted: 04/27/2021] [Indexed: 11/20/2022]
Abstract
Chickens play host to a diverse community of microorganisms which constitute the microflora of the live bird. Factors such as diet, genetics and immune system activity affect this complex population within the bird, while external influences including weather and exposure to other animals alter the development of the microbiome. Bacteria from these settings including Campylobacter and Salmonella play an important role in the quality and safety of end-products from these birds. Further steps, including washing and chilling, within the production cycle aim to control the proliferation of these microbes as well as those which cause product spoilage. These steps impose specific selective pressures upon the microflora of the meat product. Within the next decade, it is forecast that poultry meat, particularly chicken will become the most consumed meat globally. However, as poultry meat is a frequently cited reservoir of zoonotic disease, understanding the development of its microflora is key to controlling the proliferation of important spoilage and pathogenic bacterial groups present on the bird. Whilst several excellent reviews exist detailing the microbiome of poultry during primary production, others focus on fate of important poultry pathogens such as Campylobacter and Salmonella spp. At farm and retail level, and yet others describe the evolution of spoilage microbes during spoilage. This review seeks to provide the poultry industry and research scientists unfamiliar with food technology process with a holistic overview of the key changes to the microflora of broiler chickens at each stage of the production and retail cycle.
Collapse
|
13
|
Antimicrobial Resistance Gene Detection Methods for Bacteria in Animal-Based Foods: A Brief Review of Highlights and Advantages. Microorganisms 2021; 9:microorganisms9050923. [PMID: 33925810 PMCID: PMC8146338 DOI: 10.3390/microorganisms9050923] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 03/16/2021] [Accepted: 03/17/2021] [Indexed: 01/06/2023] Open
Abstract
Antimicrobial resistance is a major public health problem and is mainly due to the indiscriminate use of antimicrobials in human and veterinary medicine. The consumption of animal-based foods can contribute to the transfer of these genes between animal and human bacteria. Resistant and multi-resistant bacteria such as Salmonella spp. and Campylobacter spp. have been detected both in animal-based foods and in production environments such as farms, industries and slaughterhouses. This review aims to compile the techniques for detecting antimicrobial resistance using traditional and molecular methods, highlighting their advantages and disadvantages as well as the effectiveness and confidence of their results.
Collapse
|
14
|
Microbiota of Chicken Breast and Thigh Fillets Stored under Different Refrigeration Temperatures Assessed by Next-Generation Sequencing. Foods 2021; 10:foods10040765. [PMID: 33916748 PMCID: PMC8066510 DOI: 10.3390/foods10040765] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 03/17/2021] [Accepted: 03/31/2021] [Indexed: 12/20/2022] Open
Abstract
Chicken is one of the most widely consumed meats worldwide. The exploration of the bacterial diversity of chicken meat may provide new insights into the chicken-associated microbiome that will lead to moderation of food spoilage or safety. This study was undertaken to explore the bacterial communities of chicken breast and thigh fillets stored at refrigeration (0 °C and 5 °C) and slightly abuse (10 °C) temperatures for 5 days through conventional cultural methods along with next-generation sequencing (NGS) analysis. Total viable counts (TVC), Brochothrix thermosphacta, Pseudomonas spp., and lactic acid bacteria (LAB) were enumerated, while the bacterial communities were mapped through 16S rRNA gene amplicon sequencing. Chicken breast and thigh fillets possessed a complex bacterial structure that incorporated a total of >200 Operational Taxonomic Units (OTUs) at the genus level. The core microbiota of fresh samples consisted of Acinetobacter, Brochothrix, Flavobacterium, Pseudomonas, Psychrobacter, and Vibrionaceae (family). These genera persisted until the end of storage in >80% of samples, except Psychrobacter and Flavobacterium, while Photobacterium was also identified. Hierarchical clustering showed a distinction of samples based on storage time and chicken part. Conventional plate counting with growth media commonly used in spoilage studies did not always correspond to the microbial community profiles derived from NGS analysis, especially in Pseudomonas, Acinetobacter, Photobacterium, and Vibrionaceae. Results of the present study highlight Photobacterium and Vibrionaceae, in general, as potent chicken meat spoilers and suggest the necessity to combine classical microbiological methods along with NGS technologies to characterize chicken meat spoilage microbiota.
Collapse
|