Dissecting Genetic Networks Underlying Complex Phenotypes: The Theoretical Framework

doi:10.1371/journal.pone.0014541

	Dissecting Genetic Networks Underlying Complex Phenotypes: The Theoretical Framework
	Zhang, Fan 1; Zhai, Hu-Qu 1; Paterson, Andrew H.2; Xu, Jian-Long 1; Gao, Yong-Ming 1; Zheng, Tian-Qing 1; Wu, Rong-Ling 3; Fu, Bin-Ying 1; Ali, Jauhar 2; Li, Zhi-Kang 1,4
刊名	PLOS ONE
	2011
卷号	6 期号:1 页码:-
ISSN号	1932-6203
DOI	10.1371/journal.pone.0014541
通讯作者	Zhang, Fan
英文摘要	Great progress has been made in genetic dissection of quantitative trait variation during the past two decades, but many studies still reveal only a small fraction of quantitative trait loci (QTLs), and epistasis remains elusive. We integrate contemporary knowledge of signal transduction pathways with principles of quantitative and population genetics to characterize genetic networks underlying complex traits, using a model founded upon one-way functional dependency of downstream genes on upstream regulators (the principle of hierarchy) and mutual functional dependency among related genes (functional genetic units, FGU). Both simulated and real data suggest that complementary epistasis contributes greatly to quantitative trait variation, and obscures the phenotypic effects of many 'downstream' loci in pathways. The mathematical relationships between the main effects and epistatic effects of genes acting at different levels of signaling pathways were established using the quantitative and population genetic parameters. Both loss of function and "co-adapted'' gene complexes formed by multiple alleles with differentiated functions (effects) are predicted to be frequent types of allelic diversity at loci that contribute to the genetic variation of complex traits in populations. Downstream FGUs appear to be more vulnerable to loss of function than their upstream regulators, but this vulnerability is apparently compensated by different FGUs of similar functions. Other predictions from the model may account for puzzling results regarding responses to selection, genotype by environment interaction, and the genetic basis of heterosis.
学科主题	Multidisciplinary Sciences ; MULTIDISCIPLINARY SCIENCES
语种	英语
出版者	PUBLIC LIBRARY SCIENCE
WOS记录号	WOS:000286522200003
内容类型	期刊论文
源URL	[http://111.203.20.206/handle/2HMLN22E/5350]
专题	作物科学研究所_分子生物学系
作者单位	1.Chinese Acad Agr Sci, Inst Crop Sci, Natl Key Facil Crop Gene Resources & Genet Improv, Beijing, Peoples R China 2.Univ Georgia, Plant Genome Mapping Lab, Athens, GA 30602 USA 3.Penn State Univ, Ctr Stat Genet, Hershey, PA USA 4.Int Rice Res Inst, Plant Breeding Genet & Biotechnol Div, Manila 1099, Philippines
推荐引用方式 GB/T 7714	Zhang, Fan,Zhai, Hu-Qu,Paterson, Andrew H.,et al. Dissecting Genetic Networks Underlying Complex Phenotypes: The Theoretical Framework[J]. PLOS ONE,2011,6(1):-.
APA	Zhang, Fan.,Zhai, Hu-Qu.,Paterson, Andrew H..,Xu, Jian-Long.,Gao, Yong-Ming.,...&Li, Zhi-Kang.(2011).Dissecting Genetic Networks Underlying Complex Phenotypes: The Theoretical Framework.PLOS ONE,6(1),-.
MLA	Zhang, Fan,et al."Dissecting Genetic Networks Underlying Complex Phenotypes: The Theoretical Framework".PLOS ONE 6.1(2011):-.