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Genotype to Phenotype Maps: Multiple Input Abiotic Signals Combine to Produce Growth Effects via Attenuating Signaling Interactions in Maize
The complexity of allele interactions constrains crop improvement and the prediction of disease susceptibility. Additive allele effects are the foundation for selection in animal and plant breeding, and complex genetic and environmental interactions contribute to inefficient detection of desirable l...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852382/ https://www.ncbi.nlm.nih.gov/pubmed/24142926 http://dx.doi.org/10.1534/g3.113.008573 |
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author | Makumburage, G. Buddhika Richbourg, H. Lee LaTorre, Kalindi D. Capps, Andrew Chen, Cuixen Stapleton, Ann E. |
author_facet | Makumburage, G. Buddhika Richbourg, H. Lee LaTorre, Kalindi D. Capps, Andrew Chen, Cuixen Stapleton, Ann E. |
author_sort | Makumburage, G. Buddhika |
collection | PubMed |
description | The complexity of allele interactions constrains crop improvement and the prediction of disease susceptibility. Additive allele effects are the foundation for selection in animal and plant breeding, and complex genetic and environmental interactions contribute to inefficient detection of desirable loci. Manipulation and modeling of other sources of variation, such as environmental variables, have the potential to improve our prediction of phenotype from genotype. As an example of our approach to analysis of the network linking environmental input to alleles, we mapped the genetic architecture of single and combined abiotic stress responses in two maize mapping populations and compared the observed genetic architecture patterns to simple theoretical predictions. Comparisons of single and combined stress effects on growth and biomass traits exhibit patterns of allele effects that suggest attenuating interactions among physiological signaling steps in drought and ultraviolet radiation stress responses. The presence of attenuating interactions implies that shared QTL found in sets of environments could be used to group environment types and identify underlying environmental similarities, and that patterns of stress-dependent genetic architecture should be studied as a way to prioritize prebreeding populations. A better understanding of whole-plant interactor pathways and genetic architecture of multiple-input environmental signaling has the potential to improve the prediction of genomic value in plant breeding and crop modeling. |
format | Online Article Text |
id | pubmed-3852382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-38523822013-12-06 Genotype to Phenotype Maps: Multiple Input Abiotic Signals Combine to Produce Growth Effects via Attenuating Signaling Interactions in Maize Makumburage, G. Buddhika Richbourg, H. Lee LaTorre, Kalindi D. Capps, Andrew Chen, Cuixen Stapleton, Ann E. G3 (Bethesda) Investigations The complexity of allele interactions constrains crop improvement and the prediction of disease susceptibility. Additive allele effects are the foundation for selection in animal and plant breeding, and complex genetic and environmental interactions contribute to inefficient detection of desirable loci. Manipulation and modeling of other sources of variation, such as environmental variables, have the potential to improve our prediction of phenotype from genotype. As an example of our approach to analysis of the network linking environmental input to alleles, we mapped the genetic architecture of single and combined abiotic stress responses in two maize mapping populations and compared the observed genetic architecture patterns to simple theoretical predictions. Comparisons of single and combined stress effects on growth and biomass traits exhibit patterns of allele effects that suggest attenuating interactions among physiological signaling steps in drought and ultraviolet radiation stress responses. The presence of attenuating interactions implies that shared QTL found in sets of environments could be used to group environment types and identify underlying environmental similarities, and that patterns of stress-dependent genetic architecture should be studied as a way to prioritize prebreeding populations. A better understanding of whole-plant interactor pathways and genetic architecture of multiple-input environmental signaling has the potential to improve the prediction of genomic value in plant breeding and crop modeling. Genetics Society of America 2013-10-18 /pmc/articles/PMC3852382/ /pubmed/24142926 http://dx.doi.org/10.1534/g3.113.008573 Text en Copyright © 2013 Makumburage et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Unported License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigations Makumburage, G. Buddhika Richbourg, H. Lee LaTorre, Kalindi D. Capps, Andrew Chen, Cuixen Stapleton, Ann E. Genotype to Phenotype Maps: Multiple Input Abiotic Signals Combine to Produce Growth Effects via Attenuating Signaling Interactions in Maize |
title | Genotype to Phenotype Maps: Multiple Input Abiotic Signals Combine to Produce Growth Effects via Attenuating Signaling Interactions in Maize |
title_full | Genotype to Phenotype Maps: Multiple Input Abiotic Signals Combine to Produce Growth Effects via Attenuating Signaling Interactions in Maize |
title_fullStr | Genotype to Phenotype Maps: Multiple Input Abiotic Signals Combine to Produce Growth Effects via Attenuating Signaling Interactions in Maize |
title_full_unstemmed | Genotype to Phenotype Maps: Multiple Input Abiotic Signals Combine to Produce Growth Effects via Attenuating Signaling Interactions in Maize |
title_short | Genotype to Phenotype Maps: Multiple Input Abiotic Signals Combine to Produce Growth Effects via Attenuating Signaling Interactions in Maize |
title_sort | genotype to phenotype maps: multiple input abiotic signals combine to produce growth effects via attenuating signaling interactions in maize |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852382/ https://www.ncbi.nlm.nih.gov/pubmed/24142926 http://dx.doi.org/10.1534/g3.113.008573 |
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