Microbial compositional changes in broiler chicken cecal contents from birds challenged with different Salmonella vaccine candidate strains

Park, Si Hong; Kim, Sun Ae; Rubinelli, Peter M.; Roto, Stephanie M.; Ricke, Steven C.

doi:10.1016/j.vaccine.2017.04.073

Cited by 30 publications

(28 citation statements)

References 22 publications

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“…Further, Qu et al showed that metavirulomes of the microbiomes seemed to be affected by the host species (Qu et al, 2008), which supports the metagenomic data reported by Deblais et al, where distinct prophage profiles were observed in S. Heidelberg isolates collected from chickenand turkey-farm environments (Deblais et al, 2018b). Several metagenomics studies also analyzed the impact of specific treatments such as a novel anti-Salmonella growth inhibitor (PubChem ID: 2834410, 2847561, 2848076, and 9586485) (Deblais et al, 2018a), S. Typhimurium attenuated vaccines (ΔΔmetRmetD and P BAD-mviN ) (Park et al, 2017), and antibiotic growth promoters (bacitracin, dimethyl salicylate, or enrofloxacin) Kumar et al, 2018) on the gut microbiota and the persistence of Salmonella spp. and Campylobacter spp.…”

Section: Miseqsupporting

confidence: 78%

Translating ‘big data’: better understanding of host-pathogen interactions to control bacterial foodborne pathogens in poultry

Deblais

Kathayat

Helmy

et al. 2020

Anim. Health. Res. Rev.

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Recent technological advances has led to the generation, storage, and sharing of colossal sets of information (‘big data’), and the expansion of ‘omics’ in science. To date, genomics/metagenomics, transcriptomics, proteomics, and metabolomics are arguably the most ground breaking approaches in food and public safety. Here we review some of the recent studies of foodborne pathogens (Campylobacter spp., Salmonella spp., and Escherichia coli) in poultry using big data. Genomic/metagenomic approaches have reveal the importance of the gut microbiota in health and disease. They have also been used to identify, monitor, and understand the epidemiology of antibiotic-resistance mechanisms and provide concrete evidence about the role of poultry in human infections. Transcriptomics studies have increased our understanding of the pathophysiology and immunopathology of foodborne pathogens in poultry and have led to the identification of host-resistance mechanisms. Proteomic/metabolomic approaches have aided in identifying biomarkers and the rapid detection of low levels of foodborne pathogens. Overall, ‘omics' approaches complement each other and may provide, at least in part, a solution to our current food-safety issues by facilitating the development of new rapid diagnostics, therapeutic drugs, and vaccines to control foodborne pathogens in poultry. However, at this time most ‘omics' approaches still remain underutilized due to their high cost and the high level of technical skills required.

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Section: Miseqsupporting

confidence: 78%

Translating ‘big data’: better understanding of host-pathogen interactions to control bacterial foodborne pathogens in poultry

Deblais

Kathayat

Helmy

et al. 2020

Anim. Health. Res. Rev.

View full text Add to dashboard Cite

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“…Likewise, the effects of live vaccines on microbiota were confounded by overlapping vaccination timelines and could not be elucidated in this study. However, under experimental conditions, live vaccines have been associated with significant changes in microbiota compositions (61,62). Such changes may have long-term effects on immunity to unrelated pathogens and production performance (6,63).…”

Section: Discussionmentioning

confidence: 99%

Farm Stage, Bird Age, and Body Site Dominantly Affect the Quantity, Taxonomic Composition, and Dynamics of Respiratory and Gut Microbiota of Commercial Layer Chickens

Ngunjiri

Taylor

Abundo

et al. 2019

Appl Environ Microbiol

102

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The digestive and respiratory tracts of chickens are colonized by bacteria that are believed to play important roles in the overall health and performance of the birds. Most of the current research on the commensal bacteria (microbiota) of chickens has focused on broilers and gut microbiota, and less attention has been given to layers and respiratory microbiota. This research bias has left significant gaps in our knowledge of the layer microbiome. This study was conducted to define the core microbiota colonizing the upper respiratory tract (URT) and lower intestinal tract (LIT) in commercial layers under field conditions. One hundred eighty-one chickens were sampled from a flock of Ͼ80,000 birds at nine times to collect samples for 16S rRNA gene-based bacterial metabarcoding. Generally, the body site and age/farm stage had very dominant effects on the quantity, taxonomic composition, and dynamics of core bacteria. Remarkably, ileal and URT microbiota were compositionally more related to each other than to that from the cecum. Unique taxa dominated in each body site yet some taxa overlapped between URT and LIT sites, demonstrating a common core. The overlapping bacteria also contained various levels of several genera with well-recognized avian pathogens. Our findings suggest that significant interaction exists between gut and respiratory microbiota, including potential pathogens, in all stages of the farm sequence. The baseline data generated in this study can be useful for the development of effective microbiome-based interventions to enhance production performance and to prevent and control disease in commercial chicken layers. IMPORTANCE The poultry industry is faced with numerous challenges associated with infectious diseases and suboptimal performance of flocks. As microbiome research continues to grow, it is becoming clear that poultry health and production performance are partly influenced by nonpathogenic symbionts that occupy different habitats within the bird. This study has defined the baseline composition and overlaps between respiratory and gut bacteria in healthy, optimally performing chicken layers across all stages of the commercial farm sequence. Consequently, the study has set the groundwork for the development of interventions that seek to enhance production performance and to prevent and control infectious diseases through the modulation of gut and respiratory bacteria.

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“…The control challenge and prebiotic challenge groups were not significantly different starting from 7 dpi, suggesting that while the microbiome was initially different challenging the birds with Salmonella lead to a similar microbiome regardless of bird treatment background. Changes in cecum microbiome have been reported in birds given candidate Salmonella vaccine strains ( 37 ), and infection with Salmonella has also been shown to modify the natural development of the chicken microbiota ( 38 ). The control un-challenged birds remain distinct from the other treatment groups throughout.…”

Section: Discussionmentioning

confidence: 99%

Impact of Dietary Galacto-Oligosaccharide (GOS) on Chicken’s Gut Microbiota, Mucosal Gene Expression, and Salmonella Colonization

et al. 2017

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Preventing Salmonella colonization in young birds is key to reducing contamination of poultry products for human consumption (eggs and meat). While several Salmonella vaccines have been developed that are capable of yielding high systemic antibodies, it is not clear how effective these approaches are at controlling or preventing Salmonella colonization of the intestinal tract. Effective alternative control strategies are needed to help supplement the bird’s ability to prevent Salmonella colonization, specifically by making the cecum less hospitable to Salmonella. In this study, we investigated the effect of the prebiotic galacto-oligosaccharide (GOS) on the cecal microbiome and ultimately the carriage of Salmonella. Day-old pullet chicks were fed control diets or diets supplemented with GOS (1% w/w) and then challenged with a cocktail of Salmonella Typhimurium and Salmonella Enteritidis. Changes in cecal tonsil gene expression, cecal microbiome, and levels of cecal and extraintestinal Salmonella were assessed at 1, 4, 7, 12, and 27 days post infection. While the Salmonella counts were generally lower in the GOS-treated birds, the differences were not significantly different at the end of the experiment. However, these data demonstrated that treatment with the prebiotic GOS can modify both cecal tonsil gene expression and the cecal microbiome, suggesting that this type of treatment may be useful as a tool for altering the carriage of Salmonella in poultry.

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Microbial compositional changes in broiler chicken cecal contents from birds challenged with different Salmonella vaccine candidate strains

Cited by 30 publications

References 22 publications

Translating ‘big data’: better understanding of host-pathogen interactions to control bacterial foodborne pathogens in poultry

Translating ‘big data’: better understanding of host-pathogen interactions to control bacterial foodborne pathogens in poultry

Farm Stage, Bird Age, and Body Site Dominantly Affect the Quantity, Taxonomic Composition, and Dynamics of Respiratory and Gut Microbiota of Commercial Layer Chickens

Impact of Dietary Galacto-Oligosaccharide (GOS) on Chicken’s Gut Microbiota, Mucosal Gene Expression, and Salmonella Colonization

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