Genetics Selection Evolution (Jan 2022)

Differences in caecal microbiota composition and Salmonella carriage between experimentally infected inbred lines of chickens

  • Anaïs Cazals,
  • Jordi Estellé,
  • Nicolas Bruneau,
  • Jean-Luc Coville,
  • Pierrette Menanteau,
  • Marie-Noëlle Rossignol,
  • Deborah Jardet,
  • Claudia Bevilacqua,
  • Andrea Rau,
  • Bertrand Bed’Hom,
  • Philippe Velge,
  • Fanny Calenge

DOI
https://doi.org/10.1186/s12711-022-00699-6
Journal volume & issue
Vol. 54, no. 1
pp. 1 – 15

Abstract

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Abstract Background Salmonella Enteritidis (SE) is one of the major causes of human foodborne intoxication resulting from consumption of contaminated poultry products. Genetic selection of animals that are more resistant to Salmonella carriage and modulation of the gut microbiota are two promising ways to decrease individual Salmonella carriage. The aims of this study were to identify the main genetic and microbial factors that control the level of Salmonella carriage in chickens (Gallus gallus) under controlled experimental conditions. Two-hundred and forty animals from the White Leghorn inbred lines N and 61 were infected by SE at 7 days of age. After infection, animals were kept in isolators to reduce recontamination of birds by Salmonella. Caecal contents were sampled at 12 days post-infection and used for DNA extraction. Microbiota DNA was used to measure individual counts of SE by digital PCR and to determine the bacterial taxonomic composition, using a 16S rRNA gene high-throughput sequencing approach. Results Our results confirmed that the N line is more resistant to Salmonella carriage than the 61 line, and that intra-line variability is higher for the 61 line. Furthermore, the 16S analysis showed strong significant differences in microbiota taxonomic composition between the two lines. Among the 617 operational taxonomic units (OTU) observed, more than 390 were differentially abundant between the two lines. Furthermore, within the 61 line, we found a difference in the microbiota taxonomic composition between the high and low Salmonella carriers, with 39 differentially abundant OTU. Using metagenome functional prediction based on 16S data, several metabolic pathways that are potentially associated to microbiota taxonomic differences (e.g. short chain fatty acids pathways) were identified between high and low carriers. Conclusions Overall, our findings demonstrate that the caecal microbiota composition differs between genetic lines of chickens. This could be one of the reasons why the investigated lines differed in Salmonella carriage levels under experimental infection conditions.