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Metagenomic signature of natural strongyle infection in susceptible and resistant horses

Allison Clark, View ORCID ProfileGuillaume Sallé, Valentine Ballan, Fabrice Reigner, Annabelle Meynadier, Jacques Cortet, Christine Koch, Mickaёl Riou, Alexandra Blanchard, Núria Mach
doi: https://doi.org/10.1101/233015
Allison Clark
1Health Science Department, Open University of Catalonia, Barcelona, Spain
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Guillaume Sallé
2UMR 1282, INRA, Infectiologie et Santé Publique and Université François-Rabelais, Nouzilly, France
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  • ORCID record for Guillaume Sallé
Valentine Ballan
3UMR 1313, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
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Fabrice Reigner
4UEPAO 1297, INRA, Unité Expérimentale de Physiologie Animale de l’Orfrasière, Nouzilly
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Annabelle Meynadier
5UMR 1388, INRA, GenPhySE, Toulouse, France
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Jacques Cortet
2UMR 1282, INRA, Infectiologie et Santé Publique and Université François-Rabelais, Nouzilly, France
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Christine Koch
2UMR 1282, INRA, Infectiologie et Santé Publique and Université François-Rabelais, Nouzilly, France
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Mickaёl Riou
6UE-1277, INRA, Plate-Forme d’Infectiologie Expérimentale, Nouzilly, France
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Alexandra Blanchard
2UMR 1282, INRA, Infectiologie et Santé Publique and Université François-Rabelais, Nouzilly, France
7 Pancosma SA, CH-1218 Geneva, Switzerland
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Núria Mach
3UMR 1313, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
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  • For correspondence: nuria.mach@inra.fr
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Abstract

Gastrointestinal strongyles are a major threat to horses' health and welfare. Given that strongyles inhabit the same niche as the gut microbiota, they may interact with each other. These beneficial or detrimental interactions are unknown in horses and could partly explain contrasted susceptibility to infection between individuals. To address these questions, an experimental pasture trial with 20 worm-free female Welsh ponies (10 susceptible (S) and 10 resistant (R) to parasite infection) was implemented for five months. Fecal egg counts (FEC), hematological and biochemical data, body weight and gut microbiota composition were studied in each individual after 0, 24, 43, 92 and 132 grazing days.

The predicted R ponies exhibited lower FEC after 92 and 132 grazing days, and showed higher levels of circulating monocytes and eosinophils, while S ponies developed lymphocytosis by the end of the trial. Although the overall microbiota diversity remained similar between the two groups, R and S ponies exhibited sustained differential abundances in Clostridium XIVa, Ruminococcus, Acetivibrio and unclassified Lachnospiracea at day 0. These bacteria may hence contribute to the intrinsic pony resistance towards strongyle infection. Moreover, Paludibacter, Campylobacter, Bacillus, Pseudomonas, Clostridium III, Acetivibrio, members of the unclassified Eubacteriaceae and Ruminococcaceae and fungi loads were increased in infected S ponies, suggesting that strongyle and fungi may contribute to each other’s success in the ecological niche of the equine intestines. In contrast, butyrate-producing bacteria such as Ruminococcus, Clostridium XIVa and members of the Lachnospiraceae family decreased in S relative to R ponies. Additionally, these gut microbiota alterations induced changes in several immunological pathways in S ponies, including pathogen sensing, lipid metabolism, and activation of signal transduction that are critical for the regulation of immune system and energy homeostasis. These observations shed light on a putative implication of the gut microbiota in the intrinsic resistance to strongyle infection.

Overall, this longitudinal study provides a foundation to better understand the mechanisms that underpin the relationship between host susceptibility to strongyle infection, immune response and gut microbiota under natural conditions in horses and should contribute to the development of novel biomarkers of strongyle susceptibility and provide additional control options.

  • List of abbreviations

    ADF
    acid detergent fiber
    ADL
    acid detergent lignin
    AFNOR
    Association Française de Normalisation
    ANOSIM
    analysis of similarities
    ANOVA
    Analysis of the variance
    CA
    correspondence analysis
    DM
    dry matter
    FEC
    fecal egg counts
    KEGG
    Kyoto Encyclopedia of Genes and Genomes
    NDCS
    neutral detergent soluble carbohydrate
    NDF
    neutral detergent fiber
    NFC
    Non-fiber carbohydrate
    NMDS
    non-parametric multidimensional scaling
    OTU
    operational taxonomic units
    1PCoA
    principal coordinates analysis
    PERMANOVA
    Permutational Multivariate Analysis of Variance
    PICRUSt
    phylogenetic investigation of communities by reconstruction of unobserved states
    QIIME
    Quantitative Insights Into Microbial Ecology
    qPCR
    real time quantitative PCR
    RDP
    Ribosomal Database Project naïve Bayesian classifier
    SCFA
    short chain fatty acids
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    Posted December 13, 2017.
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    Metagenomic signature of natural strongyle infection in susceptible and resistant horses
    Allison Clark, Guillaume Sallé, Valentine Ballan, Fabrice Reigner, Annabelle Meynadier, Jacques Cortet, Christine Koch, Mickaёl Riou, Alexandra Blanchard, Núria Mach
    bioRxiv 233015; doi: https://doi.org/10.1101/233015
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    Metagenomic signature of natural strongyle infection in susceptible and resistant horses
    Allison Clark, Guillaume Sallé, Valentine Ballan, Fabrice Reigner, Annabelle Meynadier, Jacques Cortet, Christine Koch, Mickaёl Riou, Alexandra Blanchard, Núria Mach
    bioRxiv 233015; doi: https://doi.org/10.1101/233015

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