| 摘要: |
| 【目的】通过构建整合图谱及Meta分析，利用数学模型整合优化猪肉系水力相关数量性状位点（QTL），并比较已知候选基因与“真实”QTL(MQTL)的位置，分析其相关性，为猪肉系数力的分子标记辅助选择奠定基础。【方法】收集2000年至今发表的猪肉系水力相关QTL信息，以美国肉畜研究中心（USDA MARC 2.0）公布的猪遗传连锁图谱为参考图谱，利用BioMercater 2.1软件将已报道的猪肉系水力相关QTL映射到参考图谱，构建新的整合图谱，分析其中存在的QTL簇；对各QTL簇进行Meta分析，将原始QTL整合为“真实”QTL(MQTL)；将已知的候选基因促红细胞生成素受体基因（EPOR）、锚定蛋白1基因（ANK1）、碳酸酐酶Ⅲ基因（CAⅢ）和氟烷基因（HAL）映射到整合图谱，比较其与MQTL的位置关系，并分析二者的关联性。【结果】共收集到80个猪肉系水力相关QTL，将其进行比对、映射后，成功构建了新的整合图谱，并通过Meta分析定位了12个MQTL，这些MQTL的图距与原始QTL的平均图距相比均有不同程度的缩短。EPOR基因、ANK1基因分别定位在MQTL3、MQTL12的置信区间内，其中ANK1基因映射到整合图谱后与MQTL12的中心位置一致。【结论】整合定位的12个MQTL的图距为3.66～28.98 cM，较原始QTL缩短35.82%～78.81%，提高了QTL定位的准确度和有效性。 |
| 关键词: 猪 系水力 QTL Meta分析 |
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| 基金项目:辽宁省科技厅科学计划项目（2011408004）；辽宁医学院青年科技启动基金项目（Y2011Z024） |
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| Meta analysis of water holding capacity QTL in swine |
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| Abstract: |
| 【Objective】In this paper,a Meta-analysis was conducted for the Quantitative Trait Loci (QTL) related to water holding capacity to estimate the number and refine the positions of QTL.【Method】With the software BioMercator 2.1,water holding capacity QTL were collected and projected to the swine linkage map of USDA-MARC 2.0 to establish an integrated map.Meta-QTL were obtained by meta analysis which reduced the confidence intervals compared to the initial QTL.Positions of candidate genes(erythropoietin receptor gene,ankyrin1gene,carbonic anhydraseⅢ,Halothane) and Meta-QTL were compared to reckon the precision of Meta-QTL.【Result】80 water holding capacity QTL were collected from 26 published papers and an integrated map of water holding capacity QTL in swine was established.12 Meta-QTL as well as their corresponding markers were obtained by meta-analysis.The confidence intervals of Meta-QTL,with 8 of which shrank more than 50% and 6 of which were less than 10 cM,were reduced compared to the QTL before the Meta-analysis.The positions of erythropoietin receptor gene and ankyrin1 gene projected to the integrated map were in the confidence interval of MQTL3 and MQTL12.【Conclusion】The confidence interval of Meta-QTL ranged from 3.66 cM to 28.98 cM,with the reduction rate changing from 35.82% to 78.81%.These results offered more precise QTL position estimates and a basis for gene mining and molecular breeding in swine. |
| Key words: swine water holding capacity QTL Meta-analysis |
