A gene regulatory network model for floral transition of the shoot apex in maize and its dynamic modeling.
The transition from the vegetative to reproductive development is a critical event in the plant life cycle. The accurate prediction of flowering time in elite germplasm is important for decisions in maize breeding programs and best agronomic practices. The understanding of the genetic control of flo...
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Public Library of Science (PLoS)
2012
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oai:doaj.org-article:a2dba6bdd1eb466f94040a0ac92c60f32021-11-18T07:08:21ZA gene regulatory network model for floral transition of the shoot apex in maize and its dynamic modeling.1932-620310.1371/journal.pone.0043450https://doaj.org/article/a2dba6bdd1eb466f94040a0ac92c60f32012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22912876/?tool=EBIhttps://doaj.org/toc/1932-6203The transition from the vegetative to reproductive development is a critical event in the plant life cycle. The accurate prediction of flowering time in elite germplasm is important for decisions in maize breeding programs and best agronomic practices. The understanding of the genetic control of flowering time in maize has significantly advanced in the past decade. Through comparative genomics, mutant analysis, genetic analysis and QTL cloning, and transgenic approaches, more than 30 flowering time candidate genes in maize have been revealed and the relationships among these genes have been partially uncovered. Based on the knowledge of the flowering time candidate genes, a conceptual gene regulatory network model for the genetic control of flowering time in maize is proposed. To demonstrate the potential of the proposed gene regulatory network model, a first attempt was made to develop a dynamic gene network model to predict flowering time of maize genotypes varying for specific genes. The dynamic gene network model is composed of four genes and was built on the basis of gene expression dynamics of the two late flowering id1 and dlf1 mutants, the early flowering landrace Gaspe Flint and the temperate inbred B73. The model was evaluated against the phenotypic data of the id1 dlf1 double mutant and the ZMM4 overexpressed transgenic lines. The model provides a working example that leverages knowledge from model organisms for the utilization of maize genomic information to predict a whole plant trait phenotype, flowering time, of maize genotypes.Zhanshan DongOlga DanilevskayaTabare AbadieCarlos MessinaNathan ColesMark CooperPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 8, p e43450 (2012) |
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DOAJ |
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Medicine R Science Q |
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Medicine R Science Q Zhanshan Dong Olga Danilevskaya Tabare Abadie Carlos Messina Nathan Coles Mark Cooper A gene regulatory network model for floral transition of the shoot apex in maize and its dynamic modeling. |
| description |
The transition from the vegetative to reproductive development is a critical event in the plant life cycle. The accurate prediction of flowering time in elite germplasm is important for decisions in maize breeding programs and best agronomic practices. The understanding of the genetic control of flowering time in maize has significantly advanced in the past decade. Through comparative genomics, mutant analysis, genetic analysis and QTL cloning, and transgenic approaches, more than 30 flowering time candidate genes in maize have been revealed and the relationships among these genes have been partially uncovered. Based on the knowledge of the flowering time candidate genes, a conceptual gene regulatory network model for the genetic control of flowering time in maize is proposed. To demonstrate the potential of the proposed gene regulatory network model, a first attempt was made to develop a dynamic gene network model to predict flowering time of maize genotypes varying for specific genes. The dynamic gene network model is composed of four genes and was built on the basis of gene expression dynamics of the two late flowering id1 and dlf1 mutants, the early flowering landrace Gaspe Flint and the temperate inbred B73. The model was evaluated against the phenotypic data of the id1 dlf1 double mutant and the ZMM4 overexpressed transgenic lines. The model provides a working example that leverages knowledge from model organisms for the utilization of maize genomic information to predict a whole plant trait phenotype, flowering time, of maize genotypes. |
| format |
article |
| author |
Zhanshan Dong Olga Danilevskaya Tabare Abadie Carlos Messina Nathan Coles Mark Cooper |
| author_facet |
Zhanshan Dong Olga Danilevskaya Tabare Abadie Carlos Messina Nathan Coles Mark Cooper |
| author_sort |
Zhanshan Dong |
| title |
A gene regulatory network model for floral transition of the shoot apex in maize and its dynamic modeling. |
| title_short |
A gene regulatory network model for floral transition of the shoot apex in maize and its dynamic modeling. |
| title_full |
A gene regulatory network model for floral transition of the shoot apex in maize and its dynamic modeling. |
| title_fullStr |
A gene regulatory network model for floral transition of the shoot apex in maize and its dynamic modeling. |
| title_full_unstemmed |
A gene regulatory network model for floral transition of the shoot apex in maize and its dynamic modeling. |
| title_sort |
gene regulatory network model for floral transition of the shoot apex in maize and its dynamic modeling. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2012 |
| url |
https://doaj.org/article/a2dba6bdd1eb466f94040a0ac92c60f3 |
| work_keys_str_mv |
AT zhanshandong ageneregulatorynetworkmodelforfloraltransitionoftheshootapexinmaizeanditsdynamicmodeling AT olgadanilevskaya ageneregulatorynetworkmodelforfloraltransitionoftheshootapexinmaizeanditsdynamicmodeling AT tabareabadie ageneregulatorynetworkmodelforfloraltransitionoftheshootapexinmaizeanditsdynamicmodeling AT carlosmessina ageneregulatorynetworkmodelforfloraltransitionoftheshootapexinmaizeanditsdynamicmodeling AT nathancoles ageneregulatorynetworkmodelforfloraltransitionoftheshootapexinmaizeanditsdynamicmodeling AT markcooper ageneregulatorynetworkmodelforfloraltransitionoftheshootapexinmaizeanditsdynamicmodeling AT zhanshandong generegulatorynetworkmodelforfloraltransitionoftheshootapexinmaizeanditsdynamicmodeling AT olgadanilevskaya generegulatorynetworkmodelforfloraltransitionoftheshootapexinmaizeanditsdynamicmodeling AT tabareabadie generegulatorynetworkmodelforfloraltransitionoftheshootapexinmaizeanditsdynamicmodeling AT carlosmessina generegulatorynetworkmodelforfloraltransitionoftheshootapexinmaizeanditsdynamicmodeling AT nathancoles generegulatorynetworkmodelforfloraltransitionoftheshootapexinmaizeanditsdynamicmodeling AT markcooper generegulatorynetworkmodelforfloraltransitionoftheshootapexinmaizeanditsdynamicmodeling |
| _version_ |
1718423871521030144 |