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Identification of transcription factors regulating senescence in wheat through gene regulatory network modelling

View ORCID ProfilePhilippa Borrill, View ORCID ProfileSophie A. Harrington, View ORCID ProfileJames Simmonds, View ORCID ProfileCristobal Uauy
doi: https://doi.org/10.1101/456749
Philippa Borrill
1School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK.
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  • For correspondence: p.borrill@bham.ac.uk cristobal.uauy@jic.ac.uk
Sophie A. Harrington
2Department of Crop Genetics, John Innes Centre, Norwich Research Park, NR4 7UH, UK.
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James Simmonds
2Department of Crop Genetics, John Innes Centre, Norwich Research Park, NR4 7UH, UK.
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Cristobal Uauy
2Department of Crop Genetics, John Innes Centre, Norwich Research Park, NR4 7UH, UK.
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  • For correspondence: p.borrill@bham.ac.uk cristobal.uauy@jic.ac.uk
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Abstract

Senescence is a tightly regulated developmental programme which is coordinated by transcription factors. Identifying these transcription factors in crops will provide opportunities to tailor the senescence process to different environmental conditions and regulate the balance between yield and grain nutrient content. Here we use ten time points of gene expression data alongside gene network modelling to identify transcription factors regulating senescence in polyploid wheat. We observe two main phases of transcription changes during senescence: early downregulation of housekeeping and metabolic processes followed by upregulation of transport and hormone related genes. We have identified transcription factor families associated with these early and later waves of differential expression. Using gene regulatory network modelling alongside complementary publicly available datasets we identified candidate transcription factors for controlling senescence. We validated the function of one of these candidate transcription factors in senescence using wheat chemically-induced mutants. This study lays the ground work to understand the transcription factors which regulate senescence in polyploid wheat and exemplifies the integration of time-series data with publicly available expression atlases and networks to identify candidate regulatory genes.

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Posted October 30, 2018.
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Identification of transcription factors regulating senescence in wheat through gene regulatory network modelling
Philippa Borrill, Sophie A. Harrington, James Simmonds, Cristobal Uauy
bioRxiv 456749; doi: https://doi.org/10.1101/456749
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Identification of transcription factors regulating senescence in wheat through gene regulatory network modelling
Philippa Borrill, Sophie A. Harrington, James Simmonds, Cristobal Uauy
bioRxiv 456749; doi: https://doi.org/10.1101/456749

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