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CSF2RB 基因座的多个 QTL 对乳性状有影响。

Multiple QTL underlie milk phenotypes at the CSF2RB locus.

机构信息

Research and Development, Livestock Improvement Corporation, Ruakura Road, Hamilton, New Zealand.

School of Biological Sciences, University of Auckland, Symonds Street, Auckland, New Zealand.

出版信息

Genet Sel Evol. 2019 Jan 24;51(1):3. doi: 10.1186/s12711-019-0446-x.

DOI:10.1186/s12711-019-0446-x
PMID:30678637
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6346582/
Abstract

BACKGROUND

Over many years, artificial selection has substantially improved milk production by cows. However, the genes that underlie milk production quantitative trait loci (QTL) remain relatively poorly characterised. Here, we investigate a previously reported QTL located at the CSF2RB locus on chromosome 5, for several milk production phenotypes, to better understand its underlying genetic and molecular causes.

RESULTS

Using a population of 29,350 taurine dairy cows, we conducted association analyses for milk yield and composition traits, and identified highly significant QTL for milk yield, milk fat concentration, and milk protein concentration. Strikingly, protein concentration and milk yield appear to show co-located yet genetically distinct QTL. To attempt to understand the molecular mechanisms that might be mediating these effects, gene expression data were used to investigate eQTL for 11 genes in the broader interval. This analysis highlighted genetic impacts on CSF2RB and NCF4 expression that share similar association signatures to those observed for lactation QTL, strongly implicating one or both of these genes as responsible for these effects. Using the same gene expression dataset representing 357 lactating cows, we also identified 38 novel RNA editing sites in the 3' UTR of CSF2RB transcripts. The extent to which two of these sites were edited also appears to be genetically co-regulated with lactation QTL, highlighting a further layer of regulatory complexity that involves the CSF2RB gene.

CONCLUSIONS

This locus presents a diversity of molecular and lactation QTL, likely representing multiple overlapping effects that, at a minimum, highlight the CSF2RB gene as having a causal role in these processes.

摘要

背景

多年来,人工选择极大地提高了奶牛的产奶量。然而,构成产奶量数量性状位点(QTL)的基因仍然相对较差。在这里,我们研究了先前报道的位于 5 号染色体 CSF2RB 基因座的 QTL,用于几种产奶量表型,以更好地了解其潜在的遗传和分子原因。

结果

使用 29350 头瘤牛奶牛群体,我们对产奶量和组成性状进行了关联分析,并确定了产奶量、乳脂浓度和乳蛋白浓度的高度显著 QTL。引人注目的是,蛋白质浓度和产奶量似乎表现出共同定位但遗传上不同的 QTL。为了尝试了解可能介导这些效应的分子机制,使用基因表达数据研究了更广泛区间内 11 个基因的 eQTL。该分析强调了 CSF2RB 和 NCF4 表达的遗传影响,它们与乳脂率 QTL 的关联特征相似,强烈暗示一个或两个基因对这些效应负责。使用代表 357 头泌乳奶牛的相同基因表达数据集,我们还在 CSF2RB 转录物的 3'UTR 中鉴定了 38 个新的 RNA 编辑位点。其中两个位点的编辑程度似乎也与乳脂率 QTL 遗传上共同调控,突出了涉及 CSF2RB 基因的另一个调控复杂性层。

结论

该基因座呈现出多种分子和泌乳 QTL,可能代表多种重叠效应,至少突出了 CSF2RB 基因在这些过程中具有因果作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/35073f8d902f/12711_2019_446_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/21373e5b6901/12711_2019_446_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/55c14a09bbb5/12711_2019_446_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/7cdb00e1c47d/12711_2019_446_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/36cfba66938c/12711_2019_446_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/2d478f1d55ed/12711_2019_446_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/96c885e46c43/12711_2019_446_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/a232b1e81e1f/12711_2019_446_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/35073f8d902f/12711_2019_446_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/21373e5b6901/12711_2019_446_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/55c14a09bbb5/12711_2019_446_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/7cdb00e1c47d/12711_2019_446_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/36cfba66938c/12711_2019_446_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/2d478f1d55ed/12711_2019_446_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/96c885e46c43/12711_2019_446_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/a232b1e81e1f/12711_2019_446_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767d/6346582/35073f8d902f/12711_2019_446_Fig8_HTML.jpg

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