Characterization of OglDREB2A gene from African rice (Oryza glaberrima), comparative analysis and its transcriptional regulation under salinity stress

Recent Molecular Aspects and Integrated Omics Strategies for Understanding the Abiotic Stress Tolerance of Rice

Rice is an important staple food crop for over half of the world's population. However, abiotic stresses seriously threaten rice yield improvement and sustainable production. Breeding and planting rice varieties with high environmental stress tolerance are the most cost-effective, safe, healthy, and environmentally friendly strategies. In-depth research on the molecular mechanism of rice plants in response to different stresses can provide an important theoretical basis for breeding rice varieties with higher stress resistance. This review presents the molecular mechanisms and the effects of various abiotic stresses on rice growth and development and explains the signal perception mode and transduction pathways. Meanwhile, the regulatory mechanisms of critical transcription factors in regulating gene expression and important downstream factors in coordinating stress tolerance are outlined. Finally, the utilization of omics approaches to retrieve hub genes and an outlook on future research are prospected, focusing on the regulatory mechanisms of multi-signaling network modules and sustainable rice production.

Toward Integrated Multi-Omics Intervention: Rice Trait Improvement and Stress Management

Rice (Oryza sativa) is an imperative staple crop for nearly half of the world's population. Challenging environmental conditions encompassing abiotic and biotic stresses negatively impact the quality and yield of rice. To assure food supply for the unprecedented ever-growing world population, the improvement of rice as a crop is of utmost importance. In this era, "omics" techniques have been comprehensively utilized to decipher the regulatory mechanisms and cellular intricacies in rice. Advancements in omics technologies have provided a strong platform for the reliable exploration of genetic resources involved in rice trait development. Omics disciplines like genomics, transcriptomics, proteomics, and metabolomics have significantly contributed toward the achievement of desired improvements in rice under optimal and stressful environments. The present review recapitulates the basic and applied multi-omics technologies in providing new orchestration toward the improvement of rice desirable traits. The article also provides a catalog of current scenario of omics applications in comprehending this imperative crop in relation to yield enhancement and various environmental stresses. Further, the appropriate databases in the field of data science to analyze big data, and retrieve relevant information vis-à-vis rice trait improvement and stress management are described.

Genome-wide identification and expression profiling of DREB genes in Saccharum spontaneum

Background

The dehydration-responsive element-binding proteins (DREBs) are important transcription factors that interact with a DRE/CRT (C-repeat) sequence and involve in response to multiple abiotic stresses in plants. Modern sugarcane are hybrids from the cross between Saccharum spontaneum and Saccharum officinarum, and the high sugar content is considered to the attribution of S. officinaurm, while the stress tolerance is attributed to S. spontaneum. To understand the molecular and evolutionary characterization and gene functions of the DREBs in sugarcane, based on the recent availability of the whole genome information, the present study performed a genome-wide in silico analysis of DREB genes and transcriptome analysis in the polyploidy S. spontaneum.

Results

Twelve DREB1 genes and six DREB2 genes were identified in S. spontaneum genome and all proteins contained a conserved AP2/ERF domain. Eleven SsDREB1 allele genes were assumed to be originated from tandem duplications, and two of them may be derived after the split of S. spontaneum and the proximal diploid species sorghum, suggesting tandem duplication contributed to the expansion of DREB1-type genes in sugarcane. Phylogenetic analysis revealed that one DREB2 gene was lost during the evolution of sugarcane. Expression profiling showed different SsDREB genes with variable expression levels in the different tissues, indicating seven SsDREB genes were likely involved in the development and photosynthesis of S. spontaneum. Furthermore, SsDREB1F, SsDREB1L, SsDREB2D, and SsDREB2F were up-regulated under drought and cold condition, suggesting that these four genes may be involved in both dehydration and cold response in sugarcane.

Conclusions

These findings demonstrated the important role of DREBs not only in the stress response, but also in the development and photosynthesis of S. spontaneum.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12864-021-07799-5.

Plant Transcription Factors Involved in Drought and Associated Stresses

Transcription factors (TFs) play a significant role in signal transduction networks spanning the perception of a stress signal and the expression of corresponding stress-responsive genes. TFs are multi-functional proteins that may simultaneously control numerous pathways during stresses in plants-this makes them powerful tools for the manipulation of regulatory and stress-responsive pathways. In recent years, the structure-function relationships of numerous plant TFs involved in drought and associated stresses have been defined, which prompted devising practical strategies for engineering plants with enhanced stress tolerance. Vast data have emerged on purposely basic leucine zipper (bZIP), WRKY, homeodomain-leucine zipper (HD-Zip), myeloblastoma (MYB), drought-response elements binding proteins/C-repeat binding factor (DREB/CBF), shine (SHN), and wax production-like (WXPL) TFs that reflect the understanding of their 3D structure and how the structure relates to function. Consequently, this information is useful in the tailored design of variant TFs that enhances our understanding of their functional states, such as oligomerization, post-translational modification patterns, protein-protein interactions, and their abilities to recognize downstream target DNA sequences. Here, we report on the progress of TFs based on their interaction pathway participation in stress-responsive networks, and pinpoint strategies and applications for crops and the impact of these strategies for improving plant stress tolerance.

Identification and expression analysis of the DREB transcription factor family in pineapple (Ananas comosus (L.) Merr.)

Background

Dehydration responsive element-binding (DREB) transcription factors play a crucial role in plant growth, development and stress responses. Although DREB genes have been characterized in many plant species, genome-wide identification of the DREB gene family has not yet been reported in pineapple (Ananas comosus (L.) Merr.).

Results

Using comprehensive genome-wide screening, we identified 20 AcoDREB genes on 14 chromosomes. These were categorized into five subgroups. AcoDREBs within a group had similar gene structures and domain compositions. Using gene structure analysis, we showed that most AcoDREB genes (75%) lacked introns, and that the promoter regions of all 20 AcoDREB genes had at least one stress response-related cis-element. We identified four genes with high expression levels and six genes with low expression levels in all analyzed tissues. We detected expression changes under abiotic stress for eight selected AcoDREB genes.

Conclusions

This report presents the first genome-wide analysis of the DREB transcription factor family in pineapple. Our results provide preliminary data for future functional analysis of AcoDREB genes in pineapple, and useful information for developing new pineapple varieties with key agronomic traits such as stress tolerance.

Advances in understanding salt tolerance in rice

This review presents a comprehensive overview of the recent research on rice salt tolerance in the areas of genomics, proteomics, metabolomics and chemical genomics. Salinity is one of the major constraints in rice cultivation globally. Traditionally, rice is a glycophyte except for a few genotypes that have been widely used in salinity tolerance breeding of rice. Both seedling and reproductive stages of rice are considered to be the salt-susceptible stages; however, research efforts have been biased towards improving the understanding of seedling-stage salt tolerance. An extensive literature survey indicated that there have been very few attempts to develop reproductive stage-specific salt tolerance in rice probably due to the lack of salt-tolerant phenotypes at the reproductive stage. Recently, the role of DNA methylation, genome duplication and codon usage bias in salinity tolerance of rice have been studied. Furthermore, the study of exogenous salt stress alleviants in rice has opened up another potential avenue for understanding and improving its salt tolerance. There is a need to not only generate additional genomic resources in the form of salt-responsive QTLs and molecular markers and to characterize the genes and their upstream regulatory regions, but also to use them to gain deep insights into the mechanisms useful for developing tolerant varieties. We analysed the genomic locations of diverse salt-responsive genomic resources and found that rice chromosomes 1-6 possess the majority of these salinity-responsive genomic resources. The review presents a comprehensive overview of the recent research on rice salt tolerance in the areas of genomics, proteomics, metabolomics and chemical genomics, which should help in understanding the molecular basis of salinity tolerance and its more effective improvement in rice.

Advances in understanding salt tolerance in rice

This review presents a comprehensive overview of the recent research on rice salt tolerance in the areas of genomics, proteomics, metabolomics and chemical genomics. Salinity is one of the major constraints in rice cultivation globally. Traditionally, rice is a glycophyte except for a few genotypes that have been widely used in salinity tolerance breeding of rice. Both seedling and reproductive stages of rice are considered to be the salt-susceptible stages; however, research efforts have been biased towards improving the understanding of seedling-stage salt tolerance. An extensive literature survey indicated that there have been very few attempts to develop reproductive stage-specific salt tolerance in rice probably due to the lack of salt-tolerant phenotypes at the reproductive stage. Recently, the role of DNA methylation, genome duplication and codon usage bias in salinity tolerance of rice have been studied. Furthermore, the study of exogenous salt stress alleviants in rice has opened up another potential avenue for understanding and improving its salt tolerance. There is a need to not only generate additional genomic resources in the form of salt-responsive QTLs and molecular markers and to characterize the genes and their upstream regulatory regions, but also to use them to gain deep insights into the mechanisms useful for developing tolerant varieties. We analysed the genomic locations of diverse salt-responsive genomic resources and found that rice chromosomes 1-6 possess the majority of these salinity-responsive genomic resources. The review presents a comprehensive overview of the recent research on rice salt tolerance in the areas of genomics, proteomics, metabolomics and chemical genomics, which should help in understanding the molecular basis of salinity tolerance and its more effective improvement in rice.

Two-State Co-Expression Network Analysis to Identify Genes Related to Salt Tolerance in Thai rice

Khao Dawk Mali 105 (KDML105) rice is one of the most important crops of Thailand. It is a challenging task to identify the genes responding to salinity in KDML105 rice. The analysis of the gene co-expression network has been widely performed to prioritize significant genes, in order to select the key genes in a specific condition. In this work, we analyzed the two-state co-expression networks of KDML105 rice under salt-stress and normal grown conditions. The clustering coefficient was applied to both networks and exhibited significantly different structures between the salt-stress state network and the original (normal-grown) network. With higher clustering coefficients, the genes that responded to the salt stress formed a dense cluster. To prioritize and select the genes responding to the salinity, we investigated genes with small partners under normal conditions that were highly expressed and were co-working with many more partners under salt-stress conditions. The results showed that the genes responding to the abiotic stimulus and relating to the generation of the precursor metabolites and energy were the great candidates, as salt tolerant marker genes. In conclusion, in the case of the complexity of the environmental conditions, gaining more information in order to deal with the co-expression network provides better candidates for further analysis.