Breeding Biology and Molecular Genetics, Humboldt-Universität zu Berlin, Invalidenstraße 42, Berlin, 10115, Germany.
BMC Genet. 2012 Dec 17;13:108. doi: 10.1186/1471-2156-13-108.
This study focused on the dynamics of genome-wide effects on five milk production and eight fertility traits as well as genetic correlations between the traits. For 2,405 Holstein Friesian bulls, estimated breeding values (EBVs) were used. The production traits were additionally assessed in 10-day intervals over the first 60 lactation days, as this stage is physiologically the most crucial time in milk production.
SNPs significantly affecting the EBVs of the production traits could be separated into three groups according to the development of the size of allele effects over time: 1) increasing effects for all traits; 2) decreasing effects for all traits; and 3) increasing effects for all traits except fat yield. Most of the significant markers were found within 22 haplotypes spanning on average 135,338 bp. The DGAT1 region showed high density of significant markers, and thus, haplotype blocks. Further functional candidate genes are proposed for haplotype blocks of significant SNPs (KLHL8, SICLEC12, AGPAT6 and NID1). Negative genetic correlations were found between yield and fertility traits, whilst content traits showed positive correlations with some fertility traits. Genetic correlations became stronger with progressing lactation. When correlations were estimated within genotype classes, correlations were on average 0.1 units weaker between production and fertility traits when the yield increasing allele was present in the genotype.
This study provides insight into the expression of genetic effects during early lactation and suggests possible biological explanations for the presented time-dependent effects. Even though only three markers were found with effects on fertility, the direction of genetic correlations within genotype classes between production and fertility traits suggests that alleles increasing the milk production do not affect fertility in a more negative way compared to the decreasing allele.
本研究关注的是全基因组对 5 个产奶量和 8 个繁殖力性状的影响动态,以及这些性状之间的遗传相关性。使用了 2405 头荷斯坦弗里生公牛的估计育种值(EBV)。在第一个 60 天泌乳期的 10 天间隔内,对产奶量性状进行了额外的评估,因为这一阶段在产奶生理学上是最关键的时期。
根据等位基因效应随时间的发展,可将显著影响生产性状 EBV 的 SNP 分为三组:1)所有性状的效应均增加;2)所有性状的效应均减少;3)除脂肪产量外,所有性状的效应均增加。大多数显著标记物位于跨越平均 135338bp 的 22 个单倍型内。DGAT1 区域显示出高密度的显著标记物,因此形成了单倍型块。进一步提出了功能候选基因,用于显著 SNP 的单倍型块(KLHL8、SICLEC12、AGPAT6 和 NID1)。产量性状与繁殖力性状之间存在负遗传相关性,而含量性状与某些繁殖力性状呈正相关。随着泌乳期的进展,遗传相关性变得更强。当在基因型类别内估计相关性时,当基因型中存在增加产量的等位基因时,生产和繁殖力性状之间的相关性平均降低 0.1 个单位。
本研究深入了解了早期泌乳期间遗传效应的表达,并为所呈现的时变效应提供了可能的生物学解释。尽管仅发现了 3 个对繁殖力有影响的标记物,但在生产和繁殖力性状的基因型类别内的遗传相关性表明,增加产奶量的等位基因不会比减少的等位基因更负面地影响繁殖力。