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Chicken gut metagenome

ABSTRACT: Investigation of the effect of Limosilactobacillus ingluviei C37 on Campylobacter jejuni in the cecum of broiler chicks

PROVIDER: PRJDB17376 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	DRR526091_1.fastq.gz	Fastqsanger.gz
	DRR526091_2.fastq.gz	Fastqsanger.gz
	DRR526092_1.fastq.gz	Fastqsanger.gz
	DRR526092_2.fastq.gz	Fastqsanger.gz
	DRR526093_1.fastq.gz	Fastqsanger.gz

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Project description:Campylobacter jejuni is a common cause of diarrheal disease worldwide. Human infection typically occurs through the ingestion of contaminated poultry products. We previously demonstrated that an attenuated Escherichia coli live vaccine strain expressing the C. jejuni N-glycan on its surface reduces the Campylobacter load in more than 50% of vaccinated leghorn and broiler birds to undetectable levels (responder birds), whereas the remainder of the animals were still colonized (non-responders). To understand the underlying mechanism, we conducted 3 larger scale vaccination and challenge studies using 135 broiler birds and found a similar responder/non responder effect. The submitted data were used for a genome-wide association study of the chicken responses to glycoconjugate vaccination against Campylobacter jejuni.

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Project description:It is essential to understand host response to Campylobacter jejuni infection in order to genetically improve resistance to its colonization in chickens. A custom Agilent chicken 44K array was used to examine gene expression profiles after Campylobacter jejuni infection of two broiler lines (A and B). Day-old chicks were orally inoculated with C. jejuni. After day 7 post-infection, the cecal tonsil was collected for total RNA isolation and cecal content for bacteria burden quantification. Twenty highest and lowest bacterial burden birds and non-infected birds within each line were used to pool four biological replicates for each group. The pair comparisons among high, low bacterial burden, and non-infected group were used. The signal intensity of each gene was normalized by LOWESS method. A mixed model including the fixed effects of dye, line, treatment and line × treatment interaction, and random effects of slide and array was used to identify differentially expressed genes at P < 0.001 by SAS program. Within line A, there were 61, 163, and 90 genes significantly differentially expressed between high and low bacterial burden, high bacterial burden and non-infected group, and low bacterial burden and non-infected group, respectively; 2637, 1684, 561 genes within line B, respectively. The results suggested that genetics, treatment and genetics × treatment interaction played important role in gene regulation of C. jejuni infection. The findings in the current study will lead the identification of potential candidate genes for genetic resistance to C. jejuni infection in chickens. Keywords: diease state analysis

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