scholarly journals Effects of drought stress on global gene expression profile in leaf and root samples of Dongxiang wild rice (Oryza rufipogon)

2017 ◽  
Vol 37 (3) ◽  
Author(s):  
Fantao Zhang ◽  
Yi Zhou ◽  
Meng Zhang ◽  
Xiangdong Luo ◽  
Jiankun Xie
Keyword(s):  
Drought Stress ◽  
Drought Resistance ◽  
Wild Rice ◽  
Molecular Mechanisms ◽  
Oryza Rufipogon ◽  
Differentially Expressed ◽  
Cdna Libraries ◽  
Regulatory Pathways ◽  
Drought Resistant ◽  
Dongxiang Wild Rice

Drought is a serious constraint to rice production throughout the world, and although Dongxiang wild rice (Oryza rufipogon, DXWR) possesses a high degree of drought resistance, the underlying mechanisms of this trait remains unclear. In the present study, cDNA libraries were constructed from the leaf and root tissues of drought-stressed and untreated DXWR seedlings, and transcriptome sequencing was performed with the goal of elucidating the molecular mechanisms involved in drought-stress response. The results indicated that 11231 transcripts were differentially expressed in the leaves (4040 up-regulated and 7191 down-regulated) and 7025 transcripts were differentially expressed in the roots (3097 up-regulated and 3928 down-regulated). Among these differentially expressed genes (DEGs), the detection of many transcriptional factors and functional genes demonstrated that multiple regulatory pathways were involved in drought resistance. Meanwhile, the DEGs were also annotated with gene ontology (GO) terms and key pathways via functional classification and Kyoto Encyclopedia of Gene and Genomes (KEGG) pathway mapping, respectively. A set of the most interesting candidate genes was then identified by combining the DEGs with previously identified drought-resistant quantitative trait loci (QTL). The present work provides abundant genomic information for functional dissection of the drought resistance of DXWR, and findings will further help the current understanding of the biological regulatory mechanisms of drought resistance in plants and facilitate the breeding of new drought-resistant rice cultivars.

scholarly journals Evaluation of drought resistance and transcriptome analysis for the identification of drought-responsive genes in Iris germanica

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jingwei Zhang ◽  
Dazhuang Huang ◽  
Xiaojie Zhao ◽  
Man Zhang
Keyword(s):  
Gene Expression ◽  
Drought Stress ◽  
Drought Resistance ◽  
Molecular Mechanisms ◽  
Cdna Libraries ◽  
Sequencing Analysis ◽  
Peg 6000 ◽  
Sequencing Platform ◽  
Iris Germanica ◽  
Drought Resistant

AbstractIris germanica, a species with very high ornamental value, exhibits the strongest drought resistance among the species in the genus Iris, but the molecular mechanism underlying its drought resistance has not been evaluated. To investigate the gene expression profile changes exhibited by high-drought-resistant I. germanica under drought stress, 10 cultivars with excellent characteristics were included in pot experiments under drought stress conditions, and the changes in the chlorophyll (Chl) content, plasma membrane relative permeability (RP), and superoxide dismutase (SOD), malondialdehyde (MDA), free proline (Pro), and soluble protein (SP) levels in leaves were compared among these cultivars. Based on their drought-resistance performance, the 10 cultivars were ordered as follows: ‘Little Dream’ > ‘Music Box’ > ‘X’Brassie’ > ‘Blood Stone’ > ‘Cherry Garden’ > ‘Memory of Harvest’ > ‘Immortality’ > ‘White and Gold’ > ‘Tantara’ > ‘Clarence’. Using the high-drought-resistant cultivar ‘Little Dream’ as the experimental material, cDNA libraries from leaves and rhizomes treated for 0, 6, 12, 24, and 48 h with 20% polyethylene glycol (PEG)-6000 to simulate a drought environment were sequenced using the Illumina sequencing platform. We obtained 1, 976, 033 transcripts and 743, 982 unigenes (mean length of 716 bp) through a hierarchical clustering analysis of the resulting transcriptome data. The unigenes were compared against the Nr, Nt, Pfam, KOG/COG, Swiss-Prot, KEGG, and gene ontology (GO) databases for functional annotation, and the gene expression levels in leaves and rhizomes were compared between the 20% PEG-6000 stress treated (6, 12, 24, and 48 h) and control (0 h) groups using DESeq2. 7849 and 24,127 differentially expressed genes (DEGs) were obtained from leaves and rhizomes, respectively. GO and KEGG enrichment analyses of the DEGs revealed significantly enriched KEGG pathways, including ribosome, photosynthesis, hormone signal transduction, starch and sucrose metabolism, synthesis of secondary metabolites, and related genes, such as heat shock proteins (HSPs), transcription factors (TFs), and active oxygen scavengers. In conclusion, we conducted the first transcriptome sequencing analysis of the I. germanica cultivar ‘Little Dream’ under drought stress and generated a large amount of genetic information. This study lays the foundation for further exploration of the molecular mechanisms underlying the responses of I. germanica to drought stress and provides valuable genetic resources for the breeding of drought-resistant plants.

scholarly journals Transcriptome Profiling Reveals Effects of Drought Stress on Gene Expression in Diploid Potato Genotype P3-198

2019 ◽  
Vol 20 (4) ◽  
pp. 852 ◽  
Author(s):  
Xiaohui Yang ◽  
Jie Liu ◽  
Jianfei Xu ◽  
Shaoguang Duan ◽  
Qianru Wang ◽  
...  
Keyword(s):  
Drought Stress ◽  
Signaling Pathway ◽  
Drought Resistance ◽  
Time Course ◽  
Molecular Mechanisms ◽  
Solanum Tuberosum L ◽  
Differentially Expressed ◽  
Protein Kinase Activity ◽  
Diploid Potato ◽  
Potato Genotype

Potato (Solanum tuberosum L.) is one of the three most important food crops worldwide; however, it is strongly affected by drought stress. The precise molecular mechanisms of drought stress response in potato are not very well understood. The diploid potato genotype P3-198 has been verified to be highly resistant to drought stress. Here, a time-course experiment was performed to identify drought resistance response genes in P3-198 under polyethylene glycol (PEG)-induced stress using RNA-sequencing. A total of 1665 differentially expressed genes (DEGs) were specifically identified, and based on gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, the transcription factor activity, protein kinase activity, and the plant hormone signal transduction process were significantly enriched. Annotation revealed that these DEGs mainly encode transcription factors, protein kinases, and proteins related to redox regulation, carbohydrate metabolism, and osmotic adjustment. In particular, genes encoding abscisic acid (ABA)-dependent signaling molecules were significantly differentially expressed, which revealed the important roles of the ABA-dependent signaling pathway in the early response of P3-198 to drought stress. Quantitative real-time PCR experimental verification confirmed the differential expression of genes in the drought resistance signaling pathway. Our results provide valuable information for understanding potato drought-resistance mechanisms, and also enrich the gene resources available for drought-resistant potato breeding.

scholarly journals Development and verification of SSR markers from drought stress-responsive miRNAs in common wild rice

2021 ◽  
Author(s):  
Yong Chen ◽  
Yuanwei Fan ◽  
Wanling Yang ◽  
Gumu Ding ◽  
Minmin Zhao ◽  
...  
Keyword(s):  
Drought Stress ◽  
Ssr Markers ◽  
Wild Rice ◽  
Oryza Rufipogon ◽  
Rice Varieties ◽  
Common Wild Rice ◽  
Oryza Rufipogon Griff ◽  
Rice Chromosomes ◽  
Ssr Loci ◽  
Dongxiang Wild Rice

PREMISE: Dongxiang wild rice (Oryza rufipogon Griff., DXWR) is the northernmost common wild rice found in the world, which possesses abundant elite genetic resources. We developed a set of drought stress-responsive microRNA (miRNA)-based single sequence repeat (SSR) markers for DXWR, which will help breed drought stress-resistant rice varieties. METHODS AND RESULTS: Ninety-nine SSR markers were developed from the drought stress-responsive miRNAs of DXWR. The SSR loci were distributed in all 12 rice chromosomes and most were in chromosomes 2 and 6, with di- and trinucleotides being the most abundant repeat motifs. Nine out of ten synthesized SSR markers were displayed high levels of genetic diversity in the genomes of DXWR and 41 modern rice varieties worldwide. The number of alleles per locus ranged from 2 to 6, and the observed and expected heterozygosity ranged from 0.000 to 0.024 and 0.461 to 0.738, respectively. CONCLUSIONS: These SSR markers developed from drought stress-responsive miRNAs in DXWR could be additional tools for elite genes mapping and useful for drought stress-resistant rice breeding.

Genetic Analysis of Cold Tolerance at the Seedling Stage in Dongxiang Wild Rice (Oryza rufipogon)

2011 ◽  
Vol 46 (1) ◽  
pp. 21-27
Author(s):  
Jian Shuirong ◽  
Wan Yong ◽  
Luo Xiangdong ◽  
Fang Jun ◽  
Chu Chengcai ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Cold Tolerance ◽  
Wild Rice ◽  
Oryza Rufipogon ◽  
Seedling Stage ◽  
Dongxiang Wild Rice

scholarly journals Arabidopsis MADS-box factor AGL16 negatively regulates drought resistance via stomatal density and stomatal movement

2020 ◽  
Vol 71 (19) ◽  
pp. 6092-6106 ◽  
Author(s):  
Ping-Xia Zhao ◽  
Zi-Qing Miao ◽  
Jing Zhang ◽  
Si-Yan Chen ◽  
Qian-Qian Liu ◽  
...  
Keyword(s):  
Drought Stress ◽  
Drought Resistance ◽  
Molecular Mechanisms ◽  
Stomatal Density ◽  
Stomatal Closure ◽  
Negative Regulator ◽  
Stomatal Development ◽  
Mads Box ◽  
Mobility Shift ◽  
Aba Metabolism

Abstract Drought is one of the most important environmental factors limiting plant growth and productivity. The molecular mechanisms underlying plant drought resistance are complex and not yet fully understood. Here, we show that the Arabidopsis MADS-box transcription factor AGL16 acts as a negative regulator in drought resistance by regulating stomatal density and movement. Loss-of-AGL16 mutants were more resistant to drought stress and had higher relative water content, which was attributed to lower leaf stomatal density and more sensitive stomatal closure due to higher leaf ABA levels compared with the wild type. AGL16-overexpressing lines displayed the opposite phenotypes. AGL16 is preferentially expressed in guard cells and down-regulated in response to drought stress. The expression of CYP707A3 and AAO3 in ABA metabolism and SDD1 in stomatal development was altered in agl16 and overexpression lines, making them potential targets of AGL16. Using chromatin immunoprecipitation, transient transactivation, yeast one-hybrid, and electrophoretic mobility shift assays, we demonstrated that AGL16 was able to bind the CArG motifs in the promoters of the CYP707A3, AAO3, and SDD1 and regulate their transcription, leading to altered leaf stomatal density and ABA levels. Taking our findings together, AGL16 acts as a negative regulator of drought resistance by modulating leaf stomatal density and ABA accumulation.

scholarly journals Identification of long noncoding natural antisense transcripts (lncNATs) correlated with drought stress response in wild rice (Oryza nivara)

2021 ◽  
Author(s):  
Yong-Chao Xu ◽  
Jie Zhang ◽  
Dong-Yan Zhang ◽  
Ying-Hui Nan ◽  
Song Ge ◽  
...  
Keyword(s):  
Drought Stress ◽  
Stress Response ◽  
Wild Rice ◽  
Oryza Rufipogon ◽  
Cultivated Rice ◽  
Antisense Transcripts ◽  
High Genetic Diversity ◽  
Natural Antisense Transcripts ◽  
Form Complex ◽  
Oryza Nivara

Abstract Background Wild rice, including Oryza nivara and Oryza rufipogon, which are considered as the ancestors of Asian cultivated rice (Oryza sativa L.), possess high genetic diversity and serve as a crucial resource for breeding novel cultivars of cultivated rice. Although many rice domestication related traits, such as seed shattering and plant architecture, have been intensively studied at the phenotypic and genomic levels, further investigation is needed to understand the molecular basis of phenotypic differences between cultivated and wild rice. Drought stress is one of the most severe abiotic stresses affecting rice growth and production. Adaptation to drought stress involves a cascade of genes and regulatory factors that form complex networks. Long noncoding natural antisense transcripts (lncNATs), a class of long noncoding RNAs (lncRNAs), regulate the corresponding sense transcripts and play an important role in plant growth and development. However, the contribution of lncNATs to drought stress response in wild rice remains largely unknown. Results Here, we conducted strand-specific RNA sequencing (ssRNA-seq) analysis of Nipponbare (O. sativa ssp. japonica) and two O. nivara accessions (BJ89 and BJ278) to determine the role of lncNATs in drought stress response in wild rice. A total of 1,246 lncRNAs were identified, including 1,091 coding–noncoding NAT pairs, of which 50 were expressed only in Nipponbare, and 77 were expressed only in BJ89 and/or BJ278. Of the 1,091 coding–noncoding NAT pairs, 240 were differentially expressed between control and drought stress conditions. Among these 240 NAT pairs, 12 were detected only in Nipponbare, and 187 were detected uniquely in O. nivara. Furthermore, 10 of the 240 coding–noncoding NAT pairs were correlated with genes previously demonstrated to be involved in stress response; among these, nine pairs were uniquely found in O. nivara, and one pair was shared between O. nivara and Nipponbare. Conclusion We identified lncNATs associated with drought stress response in cultivated rice and O. nivara. These results will improve our understanding of the function of lncNATs in drought tolerance and accelerate rice breeding.

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