scholarly journals Field of Genes: Uncovering EGRINs (Environmental Gene Regulatory Influence Networks) in Rice That Function during High-Temperature and Drought Stress

2016 ◽  
Vol 28 (10) ◽  
pp. 2346-2347
Author(s):  
Jennifer Lockhart
2016 ◽  
Vol 28 (10) ◽  
pp. 2365-2384 ◽  
Author(s):  
Olivia Wilkins ◽  
Christoph Hafemeister ◽  
Anne Plessis ◽  
Meisha-Marika Holloway-Phillips ◽  
Gina M. Pham ◽  
...  

2016 ◽  
Author(s):  
Olivia Wilkins ◽  
Christoph Hafemeister ◽  
Anne Plessis ◽  
Meisha-Marika Holloway-Phillips ◽  
Gina M. Pham ◽  
...  

ABSTRACTEnvironmental Gene Regulatory Influence Networks (EGRINs) coordinate the timing and rate of gene expression in response to environmental and developmental signals. EGRINs encompass many layers of regulation, which culminate in changes in the level of accumulated transcripts. Here we infer EGRINs for the response of five tropical Asian rice cultivars to high temperatures, water deficit, and agricultural field conditions, by systematically integrating time series transcriptome data (720 RNA-seq libraries), patterns of nucleosome-free chromatin (18 ATAC-seq libraries), and the occurrence of known cis-regulatory elements. First, we identify 5,447 putative target genes for 445 transcription factors (TFs) by connecting TFs with genes with known cis-regulatory motifs in nucleosome-free chromatin regions proximal to transcriptional start sites (TSS) of genes. We then use network component analysis to estimate the regulatory activity for these TFs from the expression of these putative target genes. Finally, we inferred an EGRIN using the estimated TFA as the regulator. The EGRIN included regulatory interactions between 4,052 target genes regulated by 113 TFs. We resolved distinct regulatory roles for members of a large TF family, including a putative regulatory connection between abiotic stress and the circadian clock, as well as specific regulatory functions for TFs in the drought response. TFA estimation using network component analysis is an effective way of incorporating multiple genome-scale measurements into network inference and that supplementing data from controlled experimental conditions with data from outdoor field conditions increases the resolution for EGRIN inference.


HortScience ◽  
1997 ◽  
Vol 32 (3) ◽  
pp. 475B-475
Author(s):  
Mohamed A. Shaheen ◽  
Samir Z. El-Agamy

Floral biology of `Taifi' pomegranate was studied on trees grown in extreme high temperature and drought conditions. Measurement included flowering date, duration and type, pollen viability, diameter, intitial and horticultural fruit set percentage, and fruit drop percentage and fluctuation. Heat and drought stresses were found to greatly influence some floral characteristics in addition to fruit set and productivity of `Taifi' pomegranate.


1982 ◽  
Vol 60 (6) ◽  
pp. 1016-1020 ◽  
Author(s):  
Ramma Sawhney ◽  
J. M. Naylor

Plants of genetically dormant (D) and nondormant (ND) pure lines of Avena fatua were exposed to water stress during seed development. In comparison with normally well-watered controls, seeds produced by water-stressed plants exhibited shorter duration of primary dormancy. The magnitude of the effect varied among D families, but was consistently greater than in ND families.It is concluded that the dormancy phenotype of D lines is highly plastic and that the responses to high temperature and water stress are similar in a given pure line.


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