Abstract

Bovine paratuberculosis (PTB), caused by Mycobacterium avium subsp. paratuberculosis (MAP), is a chronic granulomatous enteritis that affects cattle worldwide. According to their severity and extension, PTB-associated histological lesions have been classified into the following groups; focal, multifocal, and diffuse. It is unknown whether these lesions represent sequential stages or divergent outcomes. In the current study, the associations between host genetic and pathology were explored by genotyping 813 Spanish Holstein cows with no visible lesions (N = 373) and with focal (N = 371), multifocal (N = 33), and diffuse (N = 33) lesions in gut tissues and regional lymph nodes. DNA from peripheral blood samples of these animals was genotyped with the bovine EuroG MD Bead Chip, and the corresponding genotypes were imputed to whole-genome sequencing (WGS) data using the 1000 Bull genomes reference population. A genome-wide association study (GWAS) was performed using the WGS data and the presence or absence of each type of histological lesion in a case–control approach. A total of 192 and 92 single nucleotide polymorphisms (SNPs) defining 13 and 9 distinct quantitative trait loci (QTLs) were highly-associated (P ≤ 5 × 10−7) with the multifocal (heritability = 0.075) and the diffuse (heritability = 0.189) lesions, respectively. No overlap was seen in the SNPs controlling these distinct pathological outcomes. The identified QTLs overlapped with some QTLs previously associated with PTB susceptibility, bovine tuberculosis susceptibility, clinical mastitis, somatic cell score, bovine respiratory disease susceptibility, tick resistance, IgG level, and length of productive life. Pathway analysis with candidate genes overlapping the identified QTLs revealed a significant enrichment of the keratinization pathway and cholesterol metabolism in the animals with multifocal and diffuse lesions, respectively. To test whether the enrichment of SNP variants in candidate genes involved in the cholesterol metabolism was associated with the diffuse lesions; the levels of total cholesterol were measured in plasma samples of cattle with focal, multifocal, or diffuse lesions or with no visible lesions. Our results showed reduced levels of plasma cholesterol in cattle with diffuse lesions. Taken together, our findings suggested that the variation in MAP-associated pathological outcomes might be, in part, genetically determined and indicative of distinct host responses.

Highlights

  • Bovine paratuberculosis (PTB), caused by Mycobacterium avium subsp. paratuberculosis (MAP), is a chronic granulomatous enteritis that affects cattle worldwide

  • Using whole-genome sequencing (WGS) data, the h­ 2 estimates were calculated for the presence or absence of PTB-associated histopathological lesions in Spanish Holstein cattle (N = 813)

  • Using RNA-Seq technology we previously identified a biomarker of PTB progression, the precursor of the bovine intelectin 2 (ITLN2), which was overexpressed in ileocecal valve (ICV) samples of animals with focal (­ log[2] fold-change = 10.6) and diffuse (­ log[2] fold-change = 6.8) lesions compared with animals without visible ­lesions[34]

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Summary

Introduction

Bovine paratuberculosis (PTB), caused by Mycobacterium avium subsp. paratuberculosis (MAP), is a chronic granulomatous enteritis that affects cattle worldwide. Paratuberculosis (MAP), is a chronic granulomatous enteritis that affects cattle worldwide According to their severity and extension, PTB-associated histological lesions have been classified into the following groups; focal, multifocal, and diffuse. We explored the genetic basis of the PTB-associated pathology and whether the post-mortem examination of gut tissues and regional lymph nodes could improve the accuracy of the classification of infected animals and uninfected controls providing higher h­ 2 estimates. For this purpose, variance components and h­ 2 were estimated for each type of MAP-associated histopathological lesion in a population of Spanish Holstein cattle (N = 813). Single nucleotide polymorphisms (SNPs), quantitative trait loci (QTLs), candidate genes within significant QTLs, and functional pathways were identified

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