Back

Comparative analysis of the caecal tonsil transcriptome in two hen lines experimentally infected with Salmonella Enteritidis

Cazals, A.; RAU, A.; ESTELLE, J.; BRUNEAU, N.; COVILLE, J.-L.; MENANTEAU, P.; ROSSIGNOL, M.-N.; JARDET, D.; BEVILACQUA, C.; BEDHOM, B.; VELGE, P.; CALENGE, F.

2022-06-03 genetics
10.1101/2022.06.03.494662 bioRxiv
Show abstract

Managing Salmonella enterica Enteritidis (SE) carriage in chicken is necessary to ensure human food safety and enhance chicken breeding viability. Salmonella can contaminate poultry products, causing human foodborne disease and economic losses for farmers. Both genetic selection for a decreased carriage and gut microbiota modulation strategies could reduce Salmonella propagation in farms. Two-hundred and twenty animals from the White Leghorn inbred lines N and 61 were raised together on floor, infected by SE at 7 days of age, transferred into isolators to prevent oro-fecal recontamination and euthanized at 19 days. Caecal content DNA was used to measure individual Salmonella counts (ISC) by droplet digital PCR. A RNA sequencing approach was used to measure gene expression levels in caecal tonsils after infection of 48 chicks with low or high ISC. The analysis between lines identified 7516 differentially expressed genes (DEGs) corresponding to 62 enriched Gene Ontology (GO) Biological Processes (BP) terms. A comparison between low and high carriers allowed us to identify 97 DEGs and 23 enriched GO BP terms within line 61, and 1034 DEGs and 288 enriched GO BP terms within line N. Among these genes, we identified several candidate genes based on their putative functions, including FUT2 or MUC4, which could be involved in the control of SE infection, maybe through interactions with commensal bacteria. Altogether, we were able to identify several genes and pathways associated with differences in SE carriage level. These results are discussed in relation to individual caecal microbiota compositions, obtained for the same animals in a previous study, which may interact with host gene expression levels for the control of the caecal SE load.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Poultry Science
10 papers in training set
Top 0.1%
15.0%
2
PLOS ONE
4510 papers in training set
Top 13%
14.6%
3
Scientific Reports
3102 papers in training set
Top 9%
8.6%
4
Frontiers in Veterinary Science
30 papers in training set
Top 0.1%
8.5%
5
Antibiotics
32 papers in training set
Top 0.1%
7.3%
50% of probability mass above
6
Aquaculture
29 papers in training set
Top 0.1%
4.9%
7
Frontiers in Genetics
197 papers in training set
Top 2%
3.6%
8
Frontiers in Microbiology
375 papers in training set
Top 3%
2.8%
9
Applied Sciences
24 papers in training set
Top 0.1%
2.4%
10
Frontiers in Immunology
586 papers in training set
Top 4%
1.8%
11
mSphere
281 papers in training set
Top 3%
1.7%
12
Biology
43 papers in training set
Top 0.7%
1.7%
13
International Journal of Molecular Sciences
453 papers in training set
Top 9%
1.4%
14
Genetics Selection Evolution
33 papers in training set
Top 0.1%
1.4%
15
mSystems
361 papers in training set
Top 6%
1.0%
16
Viruses
318 papers in training set
Top 4%
0.9%
17
Applied and Environmental Microbiology
301 papers in training set
Top 3%
0.9%
18
Frontiers in Medicine
113 papers in training set
Top 6%
0.9%
19
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 5%
0.8%
20
BMC Genomics
328 papers in training set
Top 5%
0.8%
21
Archives of Clinical and Biomedical Research
28 papers in training set
Top 2%
0.8%
22
Transboundary and Emerging Diseases
34 papers in training set
Top 0.7%
0.8%
23
Virulence
21 papers in training set
Top 0.5%
0.7%
24
Genomics
60 papers in training set
Top 3%
0.7%
25
PeerJ
261 papers in training set
Top 19%
0.5%
26
BioMed Research International
25 papers in training set
Top 4%
0.5%
27
Food Research International
11 papers in training set
Top 0.4%
0.5%
28
Animal Microbiome
26 papers in training set
Top 0.4%
0.5%
29
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 4%
0.5%
30
Genes
126 papers in training set
Top 4%
0.5%