Loci on Bos taurus chromosome 2 and Bos taurus chromosome 26 are linked with bovine respiratory disease and associated with persistent infection of bovine viral diarrhea virus1

Abstract

The objective of this study was to identify loci linked with bovine respiratory disease (BRD) and subsequently to determine if these same loci were associated with bovine viral diarrhea virus persistent infection (BVD-PI) in affected calves or their dams. A genome-wide linkage study using 312 microsatellites was conducted to identify loci linked with BRD in a Brahman × Hereford sire half-sib family. Disease incidence was recorded from birth to slaughter by daily monitoring. Linkage was suggestive for a QTL on BTA2 (F = 7.31, P = 0.007) and BTA26 (F = 10.46, P = 0.001). Six and 7 markers were added and genotyped between 110 and 126 cM on BTA2 and between 42 and 72 cM on BTA26, respectively, in the intervals where linkage was found. These markers were used to reevaluate the Brahman × Hereford family and to evaluate 3 additional crossbred half-sib families. Linkage was found with BRD on BTA2 (F = 4.94, P < 0.01), with a peak at 110 cM, and on BTA26 (F = 4.03, P < 0.05), with peaks at 42 and 52 cM. The same markers were then tested for an association with BVD-PI in 1) BVD-PI calves compared with age-matched unaffected calves from the same herd or 2) dams with BVD-PI compared with age-matched unaffected calves. Sixty commercial beef cow-calf herds were tested for BVD-PI, and 79 calves from 8 ranches had BVD-PI. Four of 6 markers were associated (P = 4.8 × 10(-9) to P = 0.01) with BVD-PI on BTA2, and 4 of 7 markers were associated (P = 0.008 to P = 0.04) with BVD-PI on BTA26 when BVD-PI calves were compared with unaffected calves. The comparison of BVD-PI dams with unaffected calves detected associations with BVD-PI for all markers tested on BTA2 (P = 3 × 10(-9) to P = 0.005) and for 3 of 7 markers on BTA26 (P = 1.4 × 10(-6) to P = 0.006).

Associations between animal characteristic and environmental risk factors and bovine respiratory disease in Australian feedlot cattle

“…However, the lower risk observed for Murray Greys in our study differs from that observed in a prior study involving a single feedlot (Cusack et al, 2007). Differences between breeds may be partly explained by genetic differences; genetic associations with BRD have been described in a genome-wide linkage study involving four half-sib families (Neibergs et al, 2011). Despite the difficulties in estimating heritabilities of complex diseases, low to modest heritabilities for BRD resistance have been reported (Mugglicockett et al, 1992;Snowder et al, 2006b).…”

Population-level effects of risk factors for bovine respiratory disease in Australian feedlot cattle

“…Breed was identified as a very important risk factor with large population-level effects. Previous research provides evidence of an association between breed and BRD and plausible biological pathways have been proposed as genetic susceptibility has been shown to vary between breeds (Snowder et al, 2006;Neibergs et al, 2011). Similarly, prior research supports an adverse effect of lower induction weight (Sanderson et al, 2008;Reinhardt et al, 2009) and such a relationship is biologically plausible because lower induction weight animals may lack immunological maturity or may be low weight due to prior stressors relating to the plane of nutrition, parasitic or disease burden.…”

Prevalence, diagnosis, management and control of important diseases of ruminants with special reference to indian scenario

“…The economic losses are due to prenatal infections, infertility, abortions, congenital anomalies in calves, more neonatal deaths and persistently infected (PI) calves, which die due to mucosal disease. The incidence of BVD is usually unnoticed due to 70 to 90% of infections were in subclinical form (Neibergs et al, 2011). The BVDV was isolated from clinical samples for the first time in India by Mishra et al (2004).…”