Zou Zhengzhi, Ren Jun, Yan Xueming, Huang Xiang, Yang Shujin, Zhang Zhiyan, Yang Bin, Li Wanbo, Huang Lusheng
Key Laboratory for Animal Biotechnology of Jiangxi Province and the Ministry of Agriculture of China, Jiangxi Agricultural University, Nanchang, 330045, China.
Mamm Genome. 2008 Sep;19(9):640-6. doi: 10.1007/s00335-008-9142-9. Epub 2008 Oct 15.
Baseline erythroid indices are increasingly involved as risk factors for common complex diseases in humans. However, little is known about the genetic architecture of baseline erythroid traits in pigs. In this study, hematocrit (Hct), hemoglobin (Hgb), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), mean corpuscular volume (MCV), red blood cell (RBC), and red cell distribution width (RDW) were measured in 1420 (day 18), 1410 (day 46), and 1033 (day 240) F(2) pigs from a White Duroc x Erhualian intercross resource population. The entire resource population was genotyped for 183 microsatellite loci across the pig genome, and the quantitative trait loci (QTL) analysis was performed for all erythroid-related traits measured with QTL Express based on a least-squares method. A total of 101 QTL, including 46 genome-wide significant QTL and 55 chromosome-wide significant QTL, regulating erythroid traits were found on all pig chromosomes (SSC) except for SSC15 and SSC18. The genome-wide significant QTL were mainly localized on SSC1, 7, 8, 10, and X. These results confirmed most of QTL previously identified in the swine. More importantly, this study detected age-specific QTL for baseline erythroid traits in pigs for the first time. Notably, the QTL for MCV and MCH on day 18 on SSC8 with small intervals of 3 and 4 cM, respectively, provided a good starting point for identifying causal genes underlying MCV and MCH in the future.
基线红细胞指标越来越多地被认为是人类常见复杂疾病的风险因素。然而，关于猪的基线红细胞性状的遗传结构却知之甚少。在本研究中，对来自白色杜洛克×二花脸杂交资源群体的1420头（第18天）、1410头（第46天）和1033头（第240天）F2代猪的血细胞比容（Hct）、血红蛋白（Hgb）、平均红细胞血红蛋白含量（MCH）、平均红细胞血红蛋白浓度（MCHC）、平均红细胞体积（MCV）、红细胞计数（RBC）和红细胞分布宽度（RDW）进行了测量。对整个资源群体进行了猪基因组183个微卫星位点的基因分型，并基于最小二乘法，使用QTL Express对所有测量的红细胞相关性状进行了数量性状基因座（QTL）分析。除SSC15和SSC18外，在所有猪染色体（SSC）上共发现101个调控红细胞性状的QTL，包括46个全基因组显著QTL和55个染色体显著QTL。全基因组显著QTL主要定位在SSC1、7、8、10和X染色体上。这些结果证实了先前在猪中鉴定的大多数QTL。更重要的是，本研究首次检测到猪基线红细胞性状的年龄特异性QTL。值得注意的是，SSC8上第18天MCV和MCH的QTL间隔分别为3和4 cM，为未来鉴定MCV和MCH潜在的因果基因提供了一个良好的起点。
