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Framework for dissection of complex cytonuclear epistasis by a two-dimensional genome scan
  • ISSN号:1001-6538
  • 期刊名称:Chinese Science Bulletin
  • 时间:0
  • 页码:2675-2680
  • 分类:S831.2[农业科学—畜牧学;农业科学—畜牧兽医] Q243[生物学—细胞生物学]
  • 作者机构:[1]Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, and Key Laboratory of Plant Functional Genomics of Ministry of Education, Yangzhou University, Yangzhou 225009, China, [2]School of Public Health, Medical College of Soochow University, Suzhou 215123, China, [3]Departments of Botany and Plant Sciences, University of California, Riverside, California 92521, USA
  • 相关基金:supported by the National Basic Research Program of China(2011CB100106);the National Natural Science Foundation of China(30971846and31171187);the Vital Project of Natural Science of Universities in Jiangsu Province(09KJA210002) to C.Xu;from the National Natural Science Foundation of China(31100882) to Z.Tang
  • 相关项目:基于核质互作QTL分析的强优势玉米杂交种苏玉16号的遗传解析
中文摘要:

在细胞质、原子的基因之间的 Epistasis 是复杂量的特点的主要基因部件。cytonuclear epistasis 的基因解剖是根本上重要的理解复杂特点的基因建筑学。在这研究,二维的染色体扫描策略被采用评估细胞质的贡献,量的特点 loci (QTL ) , QTL ? ┤à

英文摘要:

Epistasis between cytoplasmic and nuclear genes is the primary genetic component of complex quantitative traits.Genetic dissection of cytonuclear epistasis is fundamentally important to understand the genetic architecture of complex traits.In this study,a two-dimensional genome scan strategy was employed to evaluate the contribution of cytoplasm,quantitative trait loci (QTL),QTL×QTL interactions and QTL×QTL×cytoplasm interactions to the phenotypic variation.The p-value and parameter value for each genetic effect were calculated by multiple regression analysis.A stepwise approach was suggested to build confidence in candidate QTL on the basis of q-value estimation,false discovery rate calculation and Bonferroni adjustment.A fine-scale grid scan strategy was proposed for further analysis of peaks of interest.Plant height in maize was used as an example to illustrate the efficiency of the two-dimensional genome scan strategy.

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