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1.
Physiol Mol Biol Plants ; 29(8): 1085-1102, 2023 Aug.
Article in English | MEDLINE | ID: mdl-37829706

ABSTRACT

Drought stress is one of the most important environmental stresses that severely limits the growth and yield of Canola. The re-watering can compensate for the damage caused by drought stress. Investigation of protein's interaction of genes involved in important drought-responsive pathways and their regulatory network by microRNAs (miRNAs) under drought and re-watering conditions are helpful approaches to discovering drought-stress tolerance and recovery mechanisms. In this study, the protein's interaction and functional enrichment analyses of glycolysis, pentose phosphate, glyoxylate cycle, fatty acid biosynthesis, heat shock factor main genes, and the regulatory network of key genes by miRNAs were investigated by in silico analysis. Then, the relative expression of key genes and their related miRNAs were investigated in tolerant and susceptible genotypes of Canola under drought and re-watering conditions by Real-time PCR technique. The bna-miR156b/c/g, bna-miR395d/e/f, bna-miR396a, and all the studied key genes except HSFA1E and PK showed changes in expression levels in one or both genotypes after re-watering. The PPC1 and HSFB2B expression decreased, whereas the MLS and CAC3 expression increased in both genotypes under re-watering treatment after drought stress. It could cause the regulation of oxaloacetate production, the increase of the glyoxylate cycle, lipid biosynthesis, and the reduction of the negative regulation of HSFs under re-watering conditions. It seems that PPC1, G6PD2, MLS, CAC3, and HSFB2B were involved in the recovery mechanisms after drought stress of Canola. They were regulated by drought-responsive miRNAs to respond appropriately to drought stress. Therefore, regulating these genes could be important in plant recovery mechanisms. Supplementary Information: The online version contains supplementary material available at 10.1007/s12298-023-01345-1.

2.
Genetica ; 151(1): 29-45, 2023 Feb.
Article in English | MEDLINE | ID: mdl-36474134

ABSTRACT

Drought stress is complex abiotic stress that seriously affects crop productivity and yield. Many genes with various functions are induced in response to drought stress. The present study aimed to identify drought-responsive hub genes and their related regulation network in Arabidopsis thaliana under drought stress. In this study, RNA-sequencing data of well-watered and drought treatment samples of Arabidopsis were analyzed, and differential expression genes were identified. The gene ontology enrichment and protein-protein interaction network analyses were performed for differential expression genes. Then, the most important hub genes, gene ontology enrichment, co-expression network, and prediction of related miRNAs of hub genes were investigated by in silico approaches. A total of 2462 genes were expressed differentially, of which 1926 transcripts were up-regulated under drought stress, and the rest were down-regulated. WRKY33, WRKY40, AT1G19020, STZ, SYP122, CNI1, CML37, BCS1, AT3G02840, and AT5G54490 were identified as hub genes in drought stress. The gene ontology analysis showed that hub genes significantly enriched in response to hypoxia, chitin, wounding, and salicylic acid-mediated signaling pathway. The hub genes were co-expressed with important drought-responsive genes such as WRKY46, WRKY60, CML38, ERF6, ERF104, and ERF1A. They were regulated by many stress-responsive miRNAs, such as ath-miR5021, miR413, miR5998, and miR162, that could be used as candidate miRNAs for regulating key genes under drought stress. It seems that the regulation network was involved in signaling pathways and protein degradation under drought stress, and it consists of several important genes and miRNAs that are potential candidates for plant improvement and breeding programs.


Subject(s)
Arabidopsis , MicroRNAs , Arabidopsis/genetics , Droughts , Plant Breeding , Sequence Analysis, RNA , Stress, Physiological/genetics , MicroRNAs/genetics , Gene Expression Regulation, Plant , Gene Expression Profiling
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