Literature DB >> 23116677

Gene expression analysis in response to low and high temperature and oxidative stresses in rice: combination of stresses evokes different transcriptional changes as against stresses applied individually.

Dheeraj Mittal1, Dinesh A Madhyastha, Anil Grover.   

Abstract

Transcript expression profiles of rice seedlings were analyzed in response to (a) prior exposure with oxidative stress followed by heat or cold stress and (b) simultaneous exposure to oxidative stress along with heat stress or cold stress. The numbers of genes differentially regulated during stress combination of cold and oxidative stress as well as heat and oxidative stress treatments were higher when compared with the number of genes differentially regulated in response to individual stress conditions. A large number of transcript changes were noted unique to the stress combination mode as compared with when individual stresses were applied. Specific differences in the transcript expression profiles of OsHsf and OsClp gene family members were noted during combination of stresses as against individual stresses. For instance, OsHsf26 induction was specific to stress combinations, while OsHsfA2a, OsHsfA2f, and OsHsfA3 transcript levels were additively affected during combination of stresses. Unique promoter models and transcription factor binding sites (i.e. P$KNOX3_01, P$OSBZ8_Q6) were noted in the promoters of differentially regulated genes during combination of stresses. It is proposed that stress combinations represent a novel state of abiotic stresses for rice seedlings that might involve a different type of molecular response.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 23116677     DOI: 10.1016/j.plantsci.2012.09.008

Source DB:  PubMed          Journal:  Plant Sci        ISSN: 0168-9452            Impact factor:   4.729


  12 in total

1.  Elucidating stress proteins in rice (Oryza sativa L.) genotype under elevated temperature: a proteomic approach to understand heat stress response.

Authors:  Narendra Kumar; Deep Chandra Suyal; Ishwar Prakash Sharma; Amit Verma; Hukum Singh
Journal:  3 Biotech       Date:  2017-06-30       Impact factor: 2.406

2.  The six Tomato yellow leaf curl virus genes expressed individually in tomato induce different levels of plant stress response attenuation.

Authors:  Rena Gorovits; Adi Moshe; Linoy Amrani; Rotem Kleinberger; Ghandi Anfoka; Henryk Czosnek
Journal:  Cell Stress Chaperones       Date:  2017-03-21       Impact factor: 3.667

Review 3.  Molecular and genetic bases of heat stress responses in crop plants and breeding for increased resilience and productivity.

Authors:  Michela Janni; Mariolina Gullì; Elena Maestri; Marta Marmiroli; Babu Valliyodan; Henry T Nguyen; Nelson Marmiroli
Journal:  J Exp Bot       Date:  2020-06-26       Impact factor: 6.992

4.  Genome-wide characterisation of gene expression in rice leaf blades at 25 °C and 30 °C.

Authors:  Zhi-guo E; Lei Wang; Ryan Qin; Haihong Shen; Jianhua Zhou
Journal:  ScientificWorldJournal       Date:  2014-01-29

Review 5.  Breeding for plant heat tolerance at vegetative and reproductive stages.

Authors:  Nicky Driedonks; Ivo Rieu; Wim H Vriezen
Journal:  Plant Reprod       Date:  2016-02-13       Impact factor: 3.767

6.  Allelic variants of OsSUB1A cause differential expression of transcription factor genes in response to submergence in rice.

Authors:  Niharika Sharma; Trang Minh Dang; Namrata Singh; Slobodan Ruzicic; Bernd Mueller-Roeber; Ute Baumann; Sigrid Heuer
Journal:  Rice (N Y)       Date:  2018-01-08       Impact factor: 4.783

7.  Comparative proteomic analysis of differentially expressed proteins in the early milky stage of rice grains during high temperature stress.

Authors:  Jiang-Lin Liao; Hui-Wen Zhou; Hong-Yu Zhang; Ping-An Zhong; Ying-Jin Huang
Journal:  J Exp Bot       Date:  2013-12-27       Impact factor: 6.992

8.  The heat shock factor family from Triticum aestivum in response to heat and other major abiotic stresses and their role in regulation of heat shock protein genes.

Authors:  Gang-Ping Xue; Shahab Sadat; Janneke Drenth; C Lynne McIntyre
Journal:  J Exp Bot       Date:  2013-12-09       Impact factor: 6.992

9.  Rice Improvement Through Genome-Based Functional Analysis and Molecular Breeding in India.

Authors:  Pinky Agarwal; Swarup K Parida; Saurabh Raghuvanshi; Sanjay Kapoor; Paramjit Khurana; Jitendra P Khurana; Akhilesh K Tyagi
Journal:  Rice (N Y)       Date:  2016-01-07       Impact factor: 4.783

10.  Microarray Meta-Analysis Focused on the Response of Genes Involved in Redox Homeostasis to Diverse Abiotic Stresses in Rice.

Authors:  Joao B de Abreu Neto; Michael Frei
Journal:  Front Plant Sci       Date:  2016-01-12       Impact factor: 5.753

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