scholarly journals Systematic analysis of HD-ZIP transcription factors in sesame genome and gene expression profiling of SiHD-ZIP class I entailing drought stress responses at early seedling stage

Author(s):  
Maryam Mehmood ◽  
Muhammad Jadoon Khan ◽  
Muhammad Jawad Khan ◽  
Nadeem Akhtar ◽  
Fizza Mughal ◽  
...  
2021 ◽  
Author(s):  
Maryam Mehmood ◽  
Muhammad Jadoon Khan ◽  
Muhammad Jawad Khan ◽  
Nadeem Akhtar ◽  
Fizza Mughal ◽  
...  

Abstract Sesame is a very ancient oilseed crop. Sesame sensitivity to drought stress at early seedling stage is one of the limiting factors affecting its growth and yield in the world. HD-ZIP transcription factors family is one of the most important families involved in drought stress responses in plants. In this study, total sixty one sesame HD-ZIP (SiHZ) proteins were identified in sesame, based on protein sequence homology with Arabidopsis and protein domain(s) architectures were predicted by Hidden Markov model (HMM). HD-ZIP proteins were then classified into four classes (HD-ZIP Class I-IV) according to the phylogenetic, conserved domain(s) motifs and gene structure analyses in sesame. Based on comparative phylogenetic analysis of sesame with Arabidopsis and maize HD-ZIP protein sequences, HD-ZIP Class I was subdivided into four subgroups α (SiHZ25, SiHZ43, SiHZ9 and SiHZ16), β1 (SiHZ10, SiHZ30, SiHZ32 and SiHZ26), β2 (SiHZ42 and SiHZ45) and (SiHZ17, SiHZ7 and SiHZ35). Twenty-one days old Sesame seedling were exposed to severe drought stress by withholding water for 7 days. Gene expression of 13 members of HD-ZIP Class I was performed in well- watered (control) and water stressed (treatment) seedlings. The results of gene expression analysis showed that, SiHZ7 (6.8 fold) and SiHZ35 (2.6 fold) from subgroup showed significantly high gene expression levels under drought stress in sesame seedlings. Thus, this study provides useful molecular information pinpointing the role SiHD-ZIP Class I in drought stress responses at early seedling stage and to develop sesame novel varieties with improved drought tolerance in sesame.


Sugar Tech ◽  
2019 ◽  
Vol 21 (5) ◽  
pp. 717-733 ◽  
Author(s):  
K. Devi ◽  
P. T. Prathima ◽  
R. Gomathi ◽  
R. Manimekalai ◽  
K. Lakshmi ◽  
...  

BMC Genomics ◽  
2012 ◽  
Vol 13 (1) ◽  
pp. 554 ◽  
Author(s):  
Cecilia Geijer ◽  
Ivan Pirkov ◽  
Wanwipa Vongsangnak ◽  
Abraham Ericsson ◽  
Jens Nielsen ◽  
...  

2004 ◽  
Vol 17 (2) ◽  
pp. 140-149 ◽  
Author(s):  
Julian L. Griffin ◽  
Stephanie A. Bonney ◽  
Chris Mann ◽  
Abdul M. Hebbachi ◽  
Geoff F. Gibbons ◽  
...  

In functional genomics, DNA microarrays for gene expression profiling are increasingly being used to provide insights into biological function or pathology. To better understand the significance of the multiple transcriptional changes across a time period, the temporal changes in phenotype must be described. Orotic acid-induced fatty liver disease was investigated at the transcriptional and metabolic levels using microarrays and metabolic profiling in two strains of rats. High-resolution 1H-NMR spectroscopic analysis of liver tissue indicated that Kyoto rats compared with Wistar rats are predisposed to the insult. Metabolite analysis and gene expression profiling following orotic acid treatment identified perturbed metabolic pathways, including those involved in fatty acid, triglyceride, and phospholipid synthesis, β-oxidation, altered nucleotide, methyl donor, and carbohydrate metabolism, and stress responses. Multivariate analysis and statistical bootstrapping were used to investigate co-responses with transcripts involved in metabolism and stress responses. This reverse functional genomic strategy highlighted the relationship between changes in the transcription of stearoyl-CoA desaturase 1 and those of other lipid-related transcripts with changes in NMR-derived lipid profiles. The results suggest that the integration of 1H-NMR and gene expression data sets represents a robust method for identifying a focused line of research in a complex system.


2008 ◽  
Vol 67 (6) ◽  
pp. 567-580 ◽  
Author(s):  
Jérôme Verdier ◽  
Klementina Kakar ◽  
Karine Gallardo ◽  
Christine Le Signor ◽  
Grégoire Aubert ◽  
...  

2012 ◽  
Vol 78 (9) ◽  
pp. 3442-3457 ◽  
Author(s):  
Michael S. Schwalbach ◽  
David H. Keating ◽  
Mary Tremaine ◽  
Wesley D. Marner ◽  
Yaoping Zhang ◽  
...  

ABSTRACTThe physiology of ethanologenicEscherichia coligrown anaerobically in alkali-pretreated plant hydrolysates is complex and not well studied. To gain insight into howE. coliresponds to such hydrolysates, we studied anE. coliK-12 ethanologen fermenting a hydrolysate prepared from corn stover pretreated by ammonia fiber expansion. Despite the high sugar content (∼6% glucose, 3% xylose) and relatively low toxicity of this hydrolysate,E. coliceased growth long before glucose was depleted. Nevertheless, the cells remained metabolically active and continued conversion of glucose to ethanol until all glucose was consumed. Gene expression profiling revealed complex and changing patterns of metabolic physiology and cellular stress responses during an exponential growth phase, a transition phase, and the glycolytically active stationary phase. During the exponential and transition phases, high cell maintenance and stress response costs were mitigated, in part, by free amino acids available in the hydrolysate. However, after the majority of amino acids were depleted, the cells entered stationary phase, and ATP derived from glucose fermentation was consumed entirely by the demands of cell maintenance in the hydrolysate. Comparative gene expression profiling and metabolic modeling of the ethanologen suggested that the high energetic cost of mitigating osmotic, lignotoxin, and ethanol stress collectively limits growth, sugar utilization rates, and ethanol yields in alkali-pretreated lignocellulosic hydrolysates.


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