Effect of herd prevalence on heritability estimates of antibody response to Mycobacterium avium subspecies paratuberculosis

Hulzen, K.J.E. van; Nielen, M.; Koets, Ad P.; Jong, G. de; Arendonk, J.A.M. van; Heuven, H.C.M.

doi:10.3168/jds.2010-3472

Cited by 31 publications

(46 citation statements)

References 16 publications

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“…under the influence of both genetic and environmental factors. Studies have shown that susceptibility to JD is heritable with the estimates ranging from 0.03 to 0.28 in cattle [10], [11], [12], [13], [14], [15], [16], [17].…”

Section: Introductionmentioning

confidence: 99%

Genome-Wide Association Analysis and Genomic Prediction of Mycobacterium avium Subspecies paratuberculosis Infection in US Jersey Cattle

et al. 2014

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Paratuberculosis (Johne’s disease), an enteric disorder in ruminants caused by Mycobacterium avium subspecies paratuberculosis (MAP), causes economic losses in excess of $200 million annually to the US dairy industry. To identify genomic regions underlying susceptibility to MAP infection in Jersey cattle, a case-control genome-wide association study (GWAS) was performed. Blood and fecal samples were collected from ∼5,000 mature cows in 30 commercial Jersey herds from across the US. Discovery data consisted of 450 cases and 439 controls genotyped with the Illumina BovineSNP50 BeadChip. Cases were animals with positive ELISA and fecal culture (FC) results. Controls were animals negative to both ELISA and FC tests that matched cases on birth date and herd. Validation data consisted of 180 animals including 90 cases (positive to FC) and 90 controls (negative to ELISA and FC), selected from discovery herds and genotyped by Illumina BovineLD BeadChip (∼7K SNPs). Two analytical approaches were used: single-marker GWAS using the GRAMMAR-GC method and Bayesian variable selection (Bayes C) using GenSel software. GRAMMAR-GC identified one SNP on BTA7 at 68 megabases (Mb) surpassing a significance threshold of 5×10−5. ARS-BFGL-NGS-11887 on BTA23 (27.7 Mb) accounted for the highest percentage of genetic variance (3.3%) in the Bayes C analysis. SNPs identified in common by GRAMMAR-GC and Bayes C in both discovery and combined data were mapped to BTA23 (27, 29 and 44 Mb), 3 (100, 101, 106 and 107 Mb) and 17 (57 Mb). Correspondence between results of GRAMMAR-GC and Bayes C was high (70–80% of most significant SNPs in common). These SNPs could potentially be associated with causal variants underlying susceptibility to MAP infection in Jersey cattle. Predictive performance of the model developed by Bayes C for prediction of infection status of animals in validation set was low (55% probability of correct ranking of paired case and control samples).

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Section: Introductionmentioning

confidence: 99%

Genome-Wide Association Analysis and Genomic Prediction of Mycobacterium avium Subspecies paratuberculosis Infection in US Jersey Cattle

et al. 2014

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“…This might be due to random dispersal of the bacteria following large-scale processes such as cattle movements between herds. It has been reported that herds with an elevated turnover of cows show multiple genotypes (25,61), underscoring the importance of live animal trade in the transmission of M. avium subsp. paratuberculosis between herds.…”

Section: Figmentioning

confidence: 99%

Genetic Structure of Mycobacterium avium subsp. paratuberculosis Population in Cattle Herds in Quebec as Revealed by Using a Combination of Multilocus Genomic Analyses

Sohal¹,

Arsenault²,

Labrecque³

et al. 2014

J Clin Microbiol

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c Mycobacterium avium subsp. paratuberculosis is the etiological agent of paratuberculosis, a granulomatous enteritis affecting a wide range of domestic and wild ruminants worldwide. A variety of molecular typing tools are used to distinguish M. avium subsp. paratuberculosis strains, contributing to a better understanding of M. avium subsp. paratuberculosis epidemiology. In the present study, PCR-based typing methods, including mycobacterial interspersed repetitive units/variable-number tandem repeats (MIRU-VNTR) and small sequence repeats (SSR) in addition to IS1311 PCR-restriction enzyme analysis (PCR-REA), were used to investigate the genetic heterogeneity of 200 M. avium subsp. paratuberculosis strains from dairy herds located in the province of Quebec, Canada. The majority of strains were of the "cattle type," or type II, although 3 strains were of the "bison type." A total of 38 genotypes, including a novel one, were identified using a combination of 17 genetic markers, which generated a Simpson's index of genetic diversity of 0.876. Additional analyses revealed no differences in genetic diversity between environmental and individual strains. Of note, a spatial and spatiotemporal cluster was evidenced regarding the distribution of one of the most common genotypes. The population had an overall homogeneous genetic structure, although a few strains stemmed out of the consensus cluster, including the bison-type strains. The genetic structure of M. avium subsp. paratuberculosis populations within most herds suggested intraherd dissemination and microevolution, although evidence of interherd contamination was also revealed. The level of genetic diversity obtained by combining MIRU-VNTR and SSR markers shows a promising avenue for molecular epidemiology investigations of M. avium subsp. paratuberculosis transmission patterns.

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“…Heritability of test positivity for MAP infection in cattle ranges from 0.041 to 0.159 (Attalla, Seykora, Cole, & Heins, 2010;Gonda et al, 2006;Hinger, Brandt, Horner, & Erhardt, 2007;van Hulzen et al, 2011;Koets et al, 2000), indicating that part of the variability in response to exposure in the population is due to genetics (Table 1). Multiple recent studies also clearly suggest that susceptibility to MAP infection is multigenic or polygenic.…”

Section: Heritability Of Susceptibility and Resistancementioning

confidence: 99%

Knowledge gaps that hamper prevention and control ofMycobacterium aviumsubspeciesparatuberculosisinfection

Barkema

Orsel

Nielsen

et al. 2017

Transbound Emerg Dis

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SummaryIn the last decades, many regional and country-wide control programmes for Johne's disease (JD) were developed due to associated economic losses, or because of a possible association with Crohn's disease. These control programmes were often not successful, partly because management protocols were not followed, including the introduction of infected replacement cattle, because tests to identify infected animals were unreliable, and uptake by farmers was not high enough because of a perceived low return on investment. In the absence of a cure or effective commercial vaccines, control of JD is currently primarily based on herd management strategies to avoid infection of cattle and restrict within-farm and farm-to-farm transmission. Although JD control programmes have been implemented in most developed countries, lessons learned from JD prevention and control programmes are underreported. Also, JD control programmes are typically evaluated in a limited number of herds and the duration of the study is less than 5 year, making it difficult to adequately assess the efficacy of control programmes. In this manuscript, we identify the most important gaps in knowledge hampering JD prevention and control programmes, including vaccination and diagnostics. Secondly, we discuss directions that research should take to address those knowledge gaps. K E Y W O R D Scontrol, Johne's disease, Mycobacterium avium subspecies paratuberculosis, prevention

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Effect of herd prevalence on heritability estimates of antibody response to Mycobacterium avium subspecies paratuberculosis

Cited by 31 publications

References 16 publications

Genome-Wide Association Analysis and Genomic Prediction of Mycobacterium avium Subspecies paratuberculosis Infection in US Jersey Cattle

Genome-Wide Association Analysis and Genomic Prediction of Mycobacterium avium Subspecies paratuberculosis Infection in US Jersey Cattle

Genetic Structure of Mycobacterium avium subsp. paratuberculosis Population in Cattle Herds in Quebec as Revealed by Using a Combination of Multilocus Genomic Analyses

Knowledge gaps that hamper prevention and control ofMycobacterium aviumsubspeciesparatuberculosisinfection

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