Marker-assisted breeding value estimation for mastitis resistance in Finnish Ayrshire cattle

Mulder, H.A.; Lidauer, Martin; Vilkki, Johanna; Strandén, Ismo; Veerkamp, R.F.

doi:10.3168/jds.2010-4112

Cited by 5 publications

(5 citation statements)

References 39 publications

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“…Inference of unknown genotypes is known to be a complex procedure because of the difficulty of obtaining a joint distribution of genotypes and complex traits [ 35 ]. In many previous studies, the predictions of unknown genotypes were based only on pedigree information [ 16 , 18 , 44 , 45 ]. The extended gene content approach proposed by [ 35 ] allows to consider phenotype information which seems to improve genotype inference.…”

Section: Resultsmentioning

confidence: 99%

Including α s1 casein gene information in genomic evaluations of French dairy goats

2016

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BackgroundGenomic best linear unbiased prediction methods assume that all markers explain the same fraction of the genetic variance and do not account effectively for genes with major effects such as the αs1casein polymorphism in dairy goats. In this study, we investigated methods to include the available αs1casein genotype effect in genomic evaluations of French dairy goats.MethodsFirst, the αs1casein genotype was included as a fixed effect in genomic evaluation models based only on bucks that were genotyped at the αs1casein locus. Less than 1 % of the females with phenotypes were genotyped at the αs1casein gene. Thus, to incorporate these female phenotypes in the genomic evaluation, two methods that allowed for this large number of missing αs1casein genotypes were investigated. Probabilities for each possible αs1casein genotype were first estimated for each female of unknown genotype based on iterative peeling equations. The second method is based on a multiallelic gene content approach. For each model tested, we used three datasets each divided into a training and a validation set: (1) two-breed population (Alpine + Saanen), (2) Alpine population, and (3) Saanen population.ResultsThe αs1casein genotype had a significant effect on milk yield, fat content and protein content. Including an αs1casein effect in genetic and genomic evaluations based only on male known αs1casein genotypes improved accuracies (from 6 to 27 %). In genomic evaluations based on all female phenotypes, the gene content approach performed better than the other tested methods but the improvement in accuracy was only slightly better (from 1 to 14 %) than that of a genomic model without the αs1casein effect.ConclusionsIncluding the αs1casein effect in a genomic evaluation model for French dairy goats is possible and useful to improve accuracy. Difficulties in predicting the genotypes for ungenotyped animals limited the improvement in accuracy of the obtained estimated breeding values.

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Section: Resultsmentioning

confidence: 99%

Including α s1 casein gene information in genomic evaluations of French dairy goats

2016

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“…Subclinical mastitis is one of the major challenging diseases to the modern dairy industry [ 1 ]. It affects both quantity and quality of milk [ 2 – 5 ]. S. aureus mastitis is an extremely complex disease in cattle due to immune defenses of the host, antibiotic resistance, hidden attacks and the propensity of recurrence [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Whole-genome regulation analysis of histone H3 lysin 27 trimethylation in subclinical mastitis cows infected by Staphylococcus aureus

Song

Zhang

et al. 2016

BMC Genomics

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BackgroundS. aureus is one of the major etiological agents causing bovine subclinical mastitis. The regulatory effects of H3K27me3 on gene expression in subclinical S. aureus mastitis cows are unknown. This study aimed to profile genome-wide transcriptional changes regulated by H3K27me3 in bovine lymphocytes applied in subclinical S. aureus mastitis cows and healthy controls.ResultsA total of 61 differentially expressed genes (DEGs) were detected in subclinical S. aureus mastitis cows compared to the healthy controls, of which 25 DEGs are up-regulated and the rest are down-regulated genes in subclinical S.aureus mastitis cows. The up-regulated genes are mainly involved in the Jak-STAT signaling pathway, cytokine-cytokine receptor interaction, and T cell receptor-signaling pathway, while the down-regulated genes are related to metabolism pathways. Combination analysis of histone methylation and gene expression revealed that H3K27 trimethylation levels in silent genes were higher in subclinical S. aureus mastitis cattle than in healthy cows. The key regions of H3K27me3 target genes related to subclinical S. aureus mastitis were the upstream 2 kb regions of the DEGs relative to transcription start site (TSS).ConclusionsThe current study provides a novel insight into the interaction between S. aureus and lymphocytes in lactating cows by histone H3 methylation regulation. The differentially expressed genes in bovine lymphocytes regulated by H3K27me3 on upstream 2 kb regions (IL10, PTX3 and etc.) may relate to S. aureus mastitis susceptibility and could be considered as key candidate genes for anti- S. aureus mastitis study and breeding.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-016-2947-0) contains supplementary material, which is available to authorized users.

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“…The subclinical form of the disease is the most widespread (Zainettinova et al, 2019). Along with the widely known and common methods of the prevention and control of mastitis, researches aimed at studying the genetic aspects associated with this disease has become more widespread (Mulder et al, 2011;Kurtz et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Polymorphism of LEP and TNF-α Genes in the Dairy Cattle Populations of Ukrainian Selection

Kulibaba

Liashenko

Yurko³

et al. 2021

Basrah J. Agric. Sci.

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Study was conducted by investigating the genetic structure of cattle populations of Ukrainian Black-and-White and Ukrainian Red-and-White dairy breeds by polymorphism of leptin gene (LEP) and tumor necrosis factor-alpha gene (TNF-α). The studies were carried out using the method of polymerase chain reaction (PCR) and restriction analysis for LEP and using classic PCR with subsequent SSCP analysis in case of TNF-α. According to the results of the study, it was shown that the LEP gene was polymorphic in both experimental populations by HphI-polymorphism in the third exon of the gene (A59V mutation). In the population of the Ukrainian Black-and-White dairy cattle breed, the frequency of allele C (HphI-) was 0.77; allele T (HphI+) – 0.23. Wright's fixation index was 0.23; which indicates a significant excess in the number of homozygous individuals. This population had a deviation from the Hardy-Weinberg equilibrium state. In the population of the Ukrainian Red-and-White dairy breed, the frequency of allele C was 0.72; allele T – 0.28; Wright's fixation index was -0.18. According to the SSCP-polymorphism of the TNF-α gene, 6 alleles with a size of 450-1200 bp were detected (alleles A, B, and F for Ukrainian Black-and-White dairy breed; A, B, C, D, Е, F – for Ukrainian Red-and-White dairy breed). The frequency of allele A prevailed in the populations of both breeds (0.58 and 0.54, respectively). Alleles C, D, and E had a low frequency of occurrence (0.04-0.16) and they were found only in the population of Red-and-White dairy breed.

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Marker-assisted breeding value estimation for mastitis resistance in Finnish Ayrshire cattle

Cited by 5 publications

References 39 publications

Including α s1 casein gene information in genomic evaluations of French dairy goats

Including α s1 casein gene information in genomic evaluations of French dairy goats

Whole-genome regulation analysis of histone H3 lysin 27 trimethylation in subclinical mastitis cows infected by Staphylococcus aureus

Polymorphism of LEP and TNF-α Genes in the Dairy Cattle Populations of Ukrainian Selection

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