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| 摘要: |
| 【目的】通过构建整合图谱和Meta分析，利用数学模型整合与优化猪肉色相关QTL，分析已知候选基因与“真实”QTL（MQTL）的关联性，为肉色性状的分子标记辅助选择奠定基础。【方法】收集猪肉色相关QTL，包括明度系数（L值，MCOLORL）、红度值（a值，MCOLORa）和黄色度（b值，MCOLORb）等指标，利用BioMercator2.1软件，将原始QTL映射到美国肉畜研究中心（USDA-MARC 2.0）公布的猪遗传连锁图谱中，构建整合图谱，分析得到QTL簇；对各QTL簇进行Meta分析，定位MQTL；进一步将已知候选基因映射到整合图谱，比较候选基因与各MQTL在染色体上的位置关系，分析其关联性。【结果】将176个猪肉色相关QTL进行比对、映射后，构建成新的整合图谱。通过Meta分析，将原本分散的QTL定量合并为37个MQTL，其中MQTL2、MQTL3、MQTL8～MQTL11、MQTL13～MQTL16、MQTL18～MQTL20、MQTL24、MQTL25、MQTL29、MQTL31、MQTL32、MQTL35～MQTL37共 21个MQTL的缩短比例均超过50%，MQTL9、MQTL19、MQTL11、MQTL28、MQTL35、MQTL8、MQTL2、MQTL3等8个MQTL的置信区间在5 cM内。【结论】获得了37个猪肉色性状，图距1.16～22.68 cM，较原QTL图距均有不同程度地缩短，缩短比例为25.19%～90.33%，提高了QTL定位的准确度和有效性。 |
| 关键词: 猪 肉色性状 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 meat color QTL in swine |
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| Abstract: |
| 【Objective】This study was performed for the Quantitative Trait Loci (QTL) related to meat color to estimate the number and refine the positions of QTL with meta-analysis.【Method】An integrated map of meat color QTL which included MCOLORL,MCOLORa and MCOLORb was established with the swine linkage map of USDA-MARC 2.0 as a reference map.With the software BioMercator2.1,initial QTL was collected and projected to the reference map.Meta-QTL（MQTL）was obtained by meta-analysis which reduced the QTL confidence intervals compared with individual QTL estimates.Positions of candidate genes and meta-QTL obtained in this study were compared with reckon the precision of meta-QTL.【Result】176 meat color QTL collected from 20 published papers were converged to 37 meta-QTL,and their corresponding markers were obtained.The confidence intervals of meta-QTL,with 21 of which were shrunk more than 50% and 8 of which were reduced to less than 5 cM compared with the QTL before the meta analysis.For instance,the confidence interval of MQTL9,MQTL19,MQTL11,MQTL28,MQTL35,MQTL8,MQTL2,MQTL3 was only 1.16,2.43,2.45,4.18,4.29,4.40,4.73,4.88 cM,respectively.【Conclusion】The confidence interval of meta-QTL ranged from 1.16 cM to 22.68 cM,with the reduction rate changed from 25.19% to 90.33%.These results offered more precise QTL position estimates,and a basis for gene mining and molecular breeding in swine. |
| Key words: swine meat color traits QTL Meta analysis |
