4.8 Article

A local regulatory network around three NAC transcription factors in stress responses and senescence in Arabidopsis leaves

期刊

PLANT JOURNAL
卷 75, 期 1, 页码 26-39

出版社

WILEY
DOI: 10.1111/tpj.12194

关键词

Arabidopsis thaliana; Botrytis cinerea; NAC transcription factors; gene regulatory network; senescence; stress

资金

  1. Engineering and Physical Sciences Research Council (EPSRC)/Biotechnology and Biological Sciences Research Council (BBSRC) Warwick Systems Biology Doctoral Training Centre
  2. BBRSC [BB/F005806/1]
  3. BBSRC
  4. EPSRC Molecular Organisation and Assembly in Cells Doctoral Training Centre
  5. EPSRC [EP/I036575/1]
  6. Biotechnology and Biological Sciences Research Council [BB/F005806/1] Funding Source: researchfish
  7. Engineering and Physical Sciences Research Council [EP/I036575/1] Funding Source: researchfish
  8. BBSRC [BB/F005806/1] Funding Source: UKRI
  9. EPSRC [EP/I036575/1] Funding Source: UKRI

向作者/读者索取更多资源

A model is presented describing the gene regulatory network surrounding three similar NAC transcription factors that have roles in Arabidopsis leaf senescence and stress responses. ANAC019, ANAC055 and ANAC072 belong to the same clade of NAC domain genes and have overlapping expression patterns. A combination of promoter DNA/protein interactions identified using yeast 1-hybrid analysis and modelling using gene expression time course data has been applied to predict the regulatory network upstream of these genes. Similarities and divergence in regulation during a variety of stress responses are predicted by different combinations of upstream transcription factors binding and also by the modelling. Mutant analysis with potential upstream genes was used to test and confirm some of the predicted interactions. Gene expression analysis in mutants of ANAC019 and ANAC055 at different times during leaf senescence has revealed a distinctly different role for each of these genes. Yeast 1-hybrid analysis is shown to be a valuable tool that can distinguish clades of binding proteins and be used to test and quantify protein binding to predicted promoter motifs.

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