Molecular cloning and characterization of genes encoding Pennisetum glaucum ascorbate peroxidase and heat-shock factor: Interlinking oxidative and heat-stress responses

High temperatures causing heat stress disturb cellular homeostasis and impede growth and development in plants. Extensive agricultural losses are attributed to heat stress, often in combination with other stresses. Plants have evolved a variety of responses to heat stress to minimize damage and to protect themselves from further stress. A narrow temperature window separates growth from heat stress, and the range of temperatures conferring optimal growth often overlap with those producing heat stress. Heat stress induces a cytoplasmic heat stress response (HSR) in which heat shock transcription factors (HSFs) activate a constellation of genes encoding heat shock proteins (HSPs). Heat stress also induces the endoplasmic reticulum (ER)-localized unfolded protein response (UPR), which activates transcription factors that upregulate a different family of stress response genes. Heat stress also activates hormone responses and alternative RNA splicing, all of which may contribute to thermotolerance. Heat stress is often studied by subjecting plants to step increases in temperatures; however, more recent studies have demonstrated that heat shock responses occur under simulated field conditions in which temperatures are slowly ramped up to more moderate temperatures. Heat stress responses, assessed at a molecular level, could be used as traits for plant breeders to select for thermotolerance.

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Characterization of orange-spotted grouper (Epinephelus coioides) interferon regulatory factor 4 regulated by heat shock factor 1 during heat stress in response to antiviral immunity

Fish & Shellfish Immunology ◽

10.1016/j.fsi.2020.08.033 ◽

2020 ◽

Vol 106 ◽

pp. 755-767

Author(s):

Chai Foong Lai ◽

Ting-Yu Wang ◽

Min-I Yeh ◽

Tzong-Yueh Chen

Keyword(s):

Heat Stress ◽

Heat Shock ◽

Antiviral Immunity ◽

Interferon Regulatory Factor ◽

Heat Shock Factor ◽

Heat Shock Factor 1 ◽

Epinephelus Coioides ◽

Regulatory Factor ◽

Interferon Regulatory Factor 4

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Cloning and characterization of tissue-specific expression of zebrafish heat shock factor 1 isoforms upon heat stress

Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology ◽

10.1016/s1095-6433(99)90103-4 ◽

1999 ◽

Vol 124 ◽

pp. S26 ◽

Cited By ~ 1

Author(s):

C Råbergh ◽

S Airaksinen ◽

A Soitamo ◽

H Björklund ◽

T Johansson ◽

...

Keyword(s):

Heat Stress ◽

Heat Shock ◽

Heat Shock Factor ◽

Heat Shock Factor 1 ◽

Specific Expression ◽

Tissue Specific ◽

Tissue Specific Expression

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Faculty Opinions recommendation of Regulon and promoter analysis of the E. coli heat-shock factor, sigma32, reveals a multifaceted cellular response to heat stress.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1033894.489347 ◽

2006 ◽

Author(s):

Tracy Raivio

Keyword(s):

Heat Stress ◽

Heat Shock ◽

Promoter Analysis ◽

Cellular Response ◽

Heat Shock Factor ◽

E Coli

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Insights into the heat-responsive transcriptional network of tomato contrasting genotypes

Plant Genetic Resources ◽

10.1017/s1479262121000083 ◽

2021 ◽

Vol 19 (1) ◽

pp. 44-57

Author(s):

Sirine Werghi ◽

Charfeddine Gharsallah ◽

Nishi Kant Bhardwaj ◽

Hatem Fakhfakh ◽

Faten Gorsane

Keyword(s):

Heat Stress ◽

Heat Shock ◽

Candidate Genes ◽

Expression Patterns ◽

Response Strategies ◽

Transcriptional Reprogramming ◽

Genes Encoding ◽

Breeding Programmes ◽

Gene Transcripts ◽

Resource Data

AbstractDuring recent decades, global warming has intensified, altering crop growth, development and survival. To overcome changes in their environment, plants undergo transcriptional reprogramming to activate stress response strategies/pathways. To evaluate the genetic bases of the response to heat stress, Conserved DNA-derived Polymorphism (CDDP) markers were applied across tomato genome of eight cultivars. Despite scattered genotypes, cluster analysis allowed two neighbouring panels to be discriminate. Tomato CDDP-genotypic and visual phenotypic assortment permitted the selection of two contrasting heat-tolerant and heat-sensitive cultivars. Further analysis explored differential expression in transcript levels of genes, encoding heat shock transcription factors (HSFs, HsfA1, HsfA2, HsfB1), members of the heat shock protein (HSP) family (HSP101, HSP17, HSP90) and ascorbate peroxidase (APX) enzymes (APX1, APX2). Based on discriminating CDDP-markers, a protein functional network was built allowing prediction of candidate genes and their regulating miRNA. Expression patterns analysis revealed that miR156d and miR397 were heat-responsive showing a typical inverse relation with the abundance of their target gene transcripts. Heat stress is inducing a set of candidate genes, whose expression seems to be modulated through a complex regulatory network. Integrating genetic resource data is required for identifying valuable tomato genotypes that can be considered in marker-assisted breeding programmes to improve tomato heat tolerance.

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Transcriptome analysis of two contrasting genotypes of pearl millet to gain insight into heat stress responses

10.21203/rs.3.rs-23605/v1 ◽

2020 ◽

Author(s):

Albert Maibam ◽

Sunil Nigombam ◽

Harinder Vishwakarma ◽

Showkat Ahmad Lone ◽

Kishor Gaikwad ◽

...

Keyword(s):

Heat Stress ◽

Pearl Millet ◽

Stress Responses ◽

Simple Sequence Repeats ◽

Pennisetum Glaucum ◽

Average Length ◽

Gc Content ◽

Functional Markers ◽

Sequencing Data ◽

Simple Sequence

Abstract Background Pennisetum glaucum (L.) R. Br. is mainly grown in arid and semi-arid regions. Being naturally tolerant to various adverse condtitions, it is a good biological resource for deciphering the molecular basis of abiotic stresses such as heat stress in plants but limited studies have been carried out till date to this effect. Here, we performed RNA-sequencing from the leaf of two contrasting genotypes of pearl millet (841-B and PPMI-69) subjected to heat stress (42 °C for 6 h). Results Over 274 million high quality reads with an average length of 150 nt were generated. Assembly was carried out using trinity, obtaining 47,310 unigenes having an average length of 1254 nucleotides, N50 length of 1853 nucleotides and GC content of 53.11%. Blastx resulted in annotation of 35,628 unigenes and functional classification showed 15,950 unigenes designated to 51 Gene Ontology terms, 13,786 unigenes allocated to 23 Clusters of Orthologous Groups and 4,255 unigenes distributed into 132 functional KEGG pathways. 12,976 simple sequence repeats were identified from 10,294 unigenes for the development of functional markers. A total of 3,05,759 SNPs were observed in the transcriptome data. Out of 2,301 differentially expressed genes, 10 potential candidates genes were selected based on log2 fold change and adjusted p-value parameters for their differential gene expression by qRT-PCR. Conclusions The dynamic expression changes in two genotypes of P. glaucum reflect transcriptome regulation of signaling pathways in heat stress response. In order to develop genetic markers, 12,976 simple sequence repeats (SSRs) were identified. The sequencing data generated in this study shall serve as an important resource for further research in the area of crop biotechnology.

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