ArticlePloS one2011
Dissecting genetic networks underlying complex phenotypes: the theoretical framework.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 35 citations in OpenAlex.
- Genetic Dissection of Salt Tolerance and Yield Traits ofCurrent issues in molecular biology · 2023Article
- Genome-wide association and epistasis studies reveal the genetic basis of saline-alkali tolerance at the germination stage in rice.Frontiers in plant science · 2023Article
- A Genetic Network Underlying Rhizome Development inFrontiers in plant science · 2022Article
- Plant growth regulators interact with elevated temperature to alter heat stress signaling via the Unfolded Protein Response in maize.Scientific reports · 2019Article
- Simultaneous Improvement and Genetic Dissection of Drought Tolerance Using Selected Breeding Populations of Rice.Frontiers in plant science · 2018Article
- QTL and QTL networks for cold tolerance at the reproductive stage detected using selective introgression in rice.PloS one · 2018Article
- Mapping quantitative trait loci in selected breeding populations: A segregation distortion approach.Heredity · 2015Article
- Article
- SS1 (NAL1)- and SS2-Mediated Genetic Networks Underlying Source-Sink and Yield Traits in Rice (Oryza sativa L.).PloS one · 2015Article
- Genome-wide response to selection and genetic basis of cold tolerance in rice (Oryza sativa L.).BMC genetics · 2014Article
- Genetic regulatory network motifs constrain adaptation through curvature in the landscape of mutational (co)variance.Evolution; international journal of organic evolution · 2014Article
- Genotype to phenotype maps: multiple input abiotic signals combine to produce growth effects via attenuating signaling interactions in maize.G3 (Bethesda, Md.) · 2013Article
- Three genetic systems controlling growth, development and productivity of rice (Oryza sativa L.): a reevaluation of the 'Green Revolution'.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2013Article
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Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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