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Wang L, Ma X, Liu Y, Liu G, Wei H, Luo Z, Liu H, Yan M, Zhang A, Yu X, Xia H, Luo L. Flexibility of parental-like or maternal-like gene expression under diverse environments contributes to combined drought avoidance and drought tolerance in a water-saving and drought-resistance rice hybrid. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:221. [PMID: 39271558 DOI: 10.1007/s00122-024-04735-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 09/02/2024] [Indexed: 09/15/2024]
Abstract
KEY MESSAGE The hybrid rice variety (Hanyou73) exhibits the maternal-like (HH7A) gene expression in roots and parental-like (HH3) gene expression in leaves to obtain both advantages of drought avoidance and drought tolerance from its two parents. BACKGROUND Rice is one of the most important crops in the world. Rice production consumes lots of water and significantly suffers from the water deficiency and drought stress. The water-saving and drought-resistance rice (WDR) confers good drought resistance and performs well in the water-saving cultivation. MAIN FINDINGS A hybrid WDR variety Hanyou73 (HY73) exhibited superior drought resistance compared with its parents Hanhui3 (HH3) and Huhan7A (HH7A). Studies on drought resistance related traits revealed that HY73 performed like HH3 and HH7A on drought tolerance and drought avoidance, respectively. Transcriptomes were analyzed for samples with various phytohormone treatments and abiotic stresses, in which HY73 was closer to HH3 in leaf samples while HH7A in root samples. HY73 and its parents differed largely in DEGs and GO analysis for DEGs suggested the different pathways of drought response in HH3 and HH7A. Parent-like expression analysis revealed that the higher-parent-like expression pattern was prevailing in HY73. In addition, patterns of the parent-like expression significantly transformed between abiotic-stressed/phytohormone-treated and control samples, which might help HY73 to adapt to different environments. WGCNA analysis for those parent-like expression genes revealed some drought resistant genes that should contribute to the superior drought resistance of HY73. Genetic variation on the promotor sequence was confirmed as the reason for the flexible parent-like gene expression in HY73. CONCLUSION Our study uncovered the important roles of complementation of beneficial traits from parents and flexible gene expressions in drought resistance of HY73, which could facilitate the development of new WDR varieties.
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Affiliation(s)
- Lei Wang
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Xiaosong Ma
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yi Liu
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Guolan Liu
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Haibin Wei
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Zhi Luo
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China
| | - Hongyan Liu
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Ming Yan
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Anning Zhang
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xinqiao Yu
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
- College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Hui Xia
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China.
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China.
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
- College of Agriculture, South China Agricultural University, Guangzhou, 510642, China.
| | - Lijun Luo
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China.
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China.
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
- College of Agriculture, South China Agricultural University, Guangzhou, 510642, China.
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Zhang C, Zhang X, Wu Y, Li X, Du C, Di N, Chen Y. Genome-wide identification and evolution of the SAP gene family in sunflower ( Helianthus annuus L.) and expression analysis under salt and drought stress. PeerJ 2024; 12:e17808. [PMID: 39099650 PMCID: PMC11296301 DOI: 10.7717/peerj.17808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 07/03/2024] [Indexed: 08/06/2024] Open
Abstract
Stress-associated proteins (SAPs) are known to play an important role in plant responses to abiotic stresses. This study systematically identified members of the sunflower SAP gene family using sunflower genome data. The genes of the sunflower SAP gene family were analyzed using bioinformatic methods, and gene expression was assessed through fluorescence quantification (qRT-PCR) under salt and drought stress. A comprehensive analysis was also performed on the number, structure, collinearity, and phylogeny of seven Compositae species and eight other plant SAP gene families. The sunflower genome was found to have 27 SAP genes, distributed across 14 chromosomes. The evolutionary analysis revealed that the SAP family genes could be divided into three subgroups. Notably, the annuus variety exhibited amplification of the SAP gene for Group 3. Among the Compositae species, C. morifolium demonstrated the highest number of collinearity gene pairs and the closest distance on the phylogenetic tree, suggesting relative conservation in the evolutionary process. An analysis of gene structure revealed that Group 1 exhibited the most complex gene structure, while the majority of HaSAP genes in Group 2 and Group 3 lacked introns. The promoter analysis revealed the presence of cis-acting elements related to ABA, indicating their involvement in stress responses. The expression analysis indicated the potential involvement of 10 genes (HaSAP1, HaSAP3, HaSAP8, HaSAP10, HaSAP15, HaSAP16, HaSAP21, HaSAP22, HaSAP23, and HaSAP26) in sunflower salt tolerance. The expression of these 10 genes were then examined under salt and drought stress using qRT-PCR, and the tissue-specific expression patterns of these 10 genes were also analyzed. HaSAP1, HaSAP21, and HaSAP23 exhibited consistent expression patterns under both salt and drought stress, indicating these genes play a role in both salt tolerance and drought resistance in sunflower. The findings of this study highlight the significant contribution of the SAP gene family to salt tolerance and drought resistance in sunflower.
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Affiliation(s)
| | - Xiaohong Zhang
- Bayannur Institute of Agriculture and Animal Science, Bayannur, China
| | - Yue Wu
- Bayannur Institute of Agriculture and Animal Science, Bayannur, China
| | | | - Chao Du
- Bayannur Institute of Agriculture and Animal Science, Bayannur, China
| | - Na Di
- Hetao College, Bayannur, China
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Usman B, Derakhshani B, Jung KH. Recent Molecular Aspects and Integrated Omics Strategies for Understanding the Abiotic Stress Tolerance of Rice. PLANTS (BASEL, SWITZERLAND) 2023; 12:2019. [PMID: 37653936 PMCID: PMC10221523 DOI: 10.3390/plants12102019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 05/11/2023] [Accepted: 05/17/2023] [Indexed: 09/02/2023]
Abstract
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.
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Affiliation(s)
- Babar Usman
- Graduate School of Green Green-Bio Science and Crop Biotech Institute, Kyung Hee University, Yongin 17104, Republic of Korea; (B.U.)
| | - Behnam Derakhshani
- Graduate School of Green Green-Bio Science and Crop Biotech Institute, Kyung Hee University, Yongin 17104, Republic of Korea; (B.U.)
| | - Ki-Hong Jung
- Graduate School of Green Green-Bio Science and Crop Biotech Institute, Kyung Hee University, Yongin 17104, Republic of Korea; (B.U.)
- Research Center for Plant Plasticity, Kyung Hee University, Yongin 17104, Republic of Korea
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Lin W, Wang Y, Liu X, Shang JX, Zhao L. OsWAK112, A Wall-Associated Kinase, Negatively Regulates Salt Stress Responses by Inhibiting Ethylene Production. FRONTIERS IN PLANT SCIENCE 2021; 12:751965. [PMID: 34675955 PMCID: PMC8523997 DOI: 10.3389/fpls.2021.751965] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 09/06/2021] [Indexed: 05/27/2023]
Abstract
The wall-associated kinase (WAK) multigene family plays critical roles in various cellular processes and stress responses in plants, however, whether WAKs are involved in salt tolerance is obscure. Herein, we report the functional characterization of a rice WAK, WAK112, whose expression is suppressed by salt. Overexpression of OsWAK112 in rice and heterologous expression of OsWAK112 in Arabidopsis significantly decreased plant survival under conditions of salt stress, while knocking down the OsWAK112 in rice increased plant survival under salt stress. OsWAK112 is universally expressed in plant and associated with cell wall. Meanwhile, in vitro kinase assays and salt tolerance analyses showed that OsWAK112 possesses kinase activity and that it plays a negative role in the response of plants to salt stress. In addition, OsWAK112 interacts with S-adenosyl-L-methionine synthetase (SAMS) 1/2/3, which catalyzes SAM synthesis from ATP and L-methionine, and promotes OsSAMS1 degradation under salt stress. Furthermore, in OsWAK112-overexpressing plants, there is a decreased SAMS content and a decreased ethylene content under salt stress. These results indicate that OsWAK112 negatively regulates plant salt responses by inhibiting ethylene production, possibly via direct binding with OsSAMS1/2/3.
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Affiliation(s)
| | | | | | | | - Liqun Zhao
- *Correspondence: Liqun Zhao, ; orcid.org/0000-0001-6718-8130
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Gupta C, Ramegowda V, Basu S, Pereira A. Using Network-Based Machine Learning to Predict Transcription Factors Involved in Drought Resistance. Front Genet 2021; 12:652189. [PMID: 34249082 PMCID: PMC8264776 DOI: 10.3389/fgene.2021.652189] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 05/13/2021] [Indexed: 12/13/2022] Open
Abstract
Gene regulatory networks underpin stress response pathways in plants. However, parsing these networks to prioritize key genes underlying a particular trait is challenging. Here, we have built the Gene Regulation and Association Network (GRAiN) of rice (Oryza sativa). GRAiN is an interactive query-based web-platform that allows users to study functional relationships between transcription factors (TFs) and genetic modules underlying abiotic-stress responses. We built GRAiN by applying a combination of different network inference algorithms to publicly available gene expression data. We propose a supervised machine learning framework that complements GRAiN in prioritizing genes that regulate stress signal transduction and modulate gene expression under drought conditions. Our framework converts intricate network connectivity patterns of 2160 TFs into a single drought score. We observed that TFs with the highest drought scores define the functional, structural, and evolutionary characteristics of drought resistance in rice. Our approach accurately predicted the function of OsbHLH148 TF, which we validated using in vitro protein-DNA binding assays and mRNA sequencing loss-of-function mutants grown under control and drought stress conditions. Our network and the complementary machine learning strategy lends itself to predicting key regulatory genes underlying other agricultural traits and will assist in the genetic engineering of desirable rice varieties.
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Affiliation(s)
- Chirag Gupta
- Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United States
| | - Venkategowda Ramegowda
- Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United States
| | - Supratim Basu
- Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United States
| | - Andy Pereira
- Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United States
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6
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Gupta C, Ramegowda V, Basu S, Pereira A. Using Network-Based Machine Learning to Predict Transcription Factors Involved in Drought Resistance. Front Genet 2021. [PMID: 34249082 DOI: 10.1101/2020.04.29.068379] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023] Open
Abstract
Gene regulatory networks underpin stress response pathways in plants. However, parsing these networks to prioritize key genes underlying a particular trait is challenging. Here, we have built the Gene Regulation and Association Network (GRAiN) of rice (Oryza sativa). GRAiN is an interactive query-based web-platform that allows users to study functional relationships between transcription factors (TFs) and genetic modules underlying abiotic-stress responses. We built GRAiN by applying a combination of different network inference algorithms to publicly available gene expression data. We propose a supervised machine learning framework that complements GRAiN in prioritizing genes that regulate stress signal transduction and modulate gene expression under drought conditions. Our framework converts intricate network connectivity patterns of 2160 TFs into a single drought score. We observed that TFs with the highest drought scores define the functional, structural, and evolutionary characteristics of drought resistance in rice. Our approach accurately predicted the function of OsbHLH148 TF, which we validated using in vitro protein-DNA binding assays and mRNA sequencing loss-of-function mutants grown under control and drought stress conditions. Our network and the complementary machine learning strategy lends itself to predicting key regulatory genes underlying other agricultural traits and will assist in the genetic engineering of desirable rice varieties.
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Affiliation(s)
- Chirag Gupta
- Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United States
| | - Venkategowda Ramegowda
- Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United States
| | - Supratim Basu
- Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United States
| | - Andy Pereira
- Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United States
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Ding Y, Zhu J, Zhao D, Liu Q, Yang Q, Zhang T. Targeting Cis-Regulatory Elements for Rice Grain Quality Improvement. FRONTIERS IN PLANT SCIENCE 2021; 12:705834. [PMID: 34456947 PMCID: PMC8385297 DOI: 10.3389/fpls.2021.705834] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 07/08/2021] [Indexed: 05/05/2023]
Abstract
Rice is the most important source of food worldwide, providing energy, and nutrition for more than half of the population worldwide. Rice grain quality is a complex trait that is affected by several factors, such as the genotype and environment, and is a major target for rice breeders. Cis-regulatory elements (CREs) are the regions of non-coding DNA, which play a critical role in gene expression regulation. Compared with gene knockout, CRE modifications can fine-tune the expression levels of target genes. Genome editing has provided opportunities to modify the genomes of organisms in a precise and predictable way. Recently, the promoter modifications of coding genes using genome editing technologies in plant improvement have become popular. In this study, we reviewed the results of recent studies on the identification, characterization, and application of CREs involved in rice grain quality. We proposed CREs as preferred potential targets to create allelic diversity and to improve quality traits via genome editing strategies in rice. We also discussed potential challenges and experimental considerations for the improvement in grain quality in crop plants.
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Affiliation(s)
- Yu Ding
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, China
| | - Jiannan Zhu
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, China
| | - Dongsheng Zhao
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, China
| | - Qiaoquan Liu
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, China
| | - Qingqing Yang
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, China
- Department of Biotechnology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- *Correspondence: Qingqing Yang
| | - Tao Zhang
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, China
- Tao Zhang
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Khan ZH, Agarwal S, Rai A, Memaya MB, Mehrotra S, Mehrotra R. Co-expression network analysis of protein phosphatase 2A (PP2A) genes with stress-responsive genes in Arabidopsis thaliana reveals 13 key regulators. Sci Rep 2020; 10:21480. [PMID: 33293553 PMCID: PMC7722862 DOI: 10.1038/s41598-020-77746-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 10/26/2020] [Indexed: 12/17/2022] Open
Abstract
Abiotic and biotic stresses adversely affect plant growth and development and eventually result in less yield and threaten food security worldwide. In plants, several studies have been carried out to understand molecular responses to abiotic and biotic stresses. However, the complete circuitry of stress-responsive genes that plants utilise in response to those environmental stresses are still unknown. The protein phosphatase 2A (PP2A) gene has been known to have a crucial role in abiotic and biotic stresses; but how it regulates the stress response in plants is still not known completely. In this study, we constructed gene co-expression networks of PP2A genes with stress-responsive gene datasets from cold, drought, heat, osmotic, genotoxic, salt, and wounding stresses to unveil their relationships with the PP2A under different conditions of stress. The graph analysis identified 13 hub genes and several influential genes based on closeness centrality score (CCS). Our findings also revealed the count of unique genes present in different settings of stresses and subunits. We also formed clusters of influential genes based on the stress, CCS, and co-expression value. Analysis of cis-regulatory elements (CREs), recurring in promoters of these genes was also performed. Our study has led to the identification of 16 conserved CREs.
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Affiliation(s)
- Zaiba Hasan Khan
- Department of Biological Sciences, K.K. Birla Goa Campus, BITS-Pilani, Goa, India
| | - Swati Agarwal
- Department of Computer Science and Information Systems, K.K. Birla Goa Campus, BITS-Pilani, Goa, India.
| | - Atul Rai
- Department of Computer Science and Information Systems, K.K. Birla Goa Campus, BITS-Pilani, Goa, India
| | - Mounil Binal Memaya
- Department of Computer Science and Information Systems, K.K. Birla Goa Campus, BITS-Pilani, Goa, India
| | - Sandhya Mehrotra
- Department of Biological Sciences, K.K. Birla Goa Campus, BITS-Pilani, Goa, India
| | - Rajesh Mehrotra
- Department of Biological Sciences, K.K. Birla Goa Campus, BITS-Pilani, Goa, India.
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Genome-Wide Computational Identification of Biologically Significant Cis-Regulatory Elements and Associated Transcription Factors from Rice. PLANTS 2019; 8:plants8110441. [PMID: 31652796 PMCID: PMC6918188 DOI: 10.3390/plants8110441] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 10/17/2019] [Accepted: 10/21/2019] [Indexed: 01/12/2023]
Abstract
The interactions between transcription factors (TFs) and cis-acting regulatory elements (CREs) provide crucial information on the regulation of gene expression. The determination of TF-binding sites and CREs experimentally is costly and time intensive. An in silico identification and annotation of TFs, and the prediction of CREs from rice are made possible by the availability of whole genome sequence and transcriptome data. In this study, we tested the applicability of two algorithms developed for other model systems for the identification of biologically significant CREs of co-expressed genes from rice. CREs were identified from the DNA sequences located upstream from the transcription start sites, untranslated regions (UTRs), and introns, and downstream from the translational stop codons of co-expressed genes. The biologically significance of each CRE was determined by correlating their absence and presence in each gene with that gene's expression profile using a meta-database constructed from 50 rice microarray data sets. The reliability of these methods in the predictions of CREs and their corresponding TFs was supported by previous wet lab experimental data and a literature review. New CREs corresponding to abiotic stresses, biotic stresses, specific tissues, and developmental stages were identified from rice, revealing new pieces of information for future experimental testing. The effectiveness of some-but not all-CREs was found to be affected by copy number, position, and orientation. The corresponding TFs that were most likely correlated with each CRE were also identified. These findings not only contribute to the prioritization of candidates for further analysis, the information also contributes to the understanding of the gene regulatory network.
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Jia H, Zhang J, Li J, Sun P, Zhang Y, Xin X, Lu M, Hu J. Genome-wide transcriptomic analysis of a desert willow, Salix psammophila, reveals the function of hub genes SpMDP1 and SpWRKY33 in drought tolerance. BMC PLANT BIOLOGY 2019; 19:356. [PMID: 31416414 PMCID: PMC6694639 DOI: 10.1186/s12870-019-1900-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2018] [Accepted: 06/20/2019] [Indexed: 05/11/2023]
Abstract
BACKGROUND Drought is a major environmental constraint to plant growth, development and productivity. Compared with most willows that are generally susceptible to drought, the desert willow Salix psammophila has extraordinary adaptation to drought stress. However, its molecular basis of drought tolerance is still largely unknown. RESULTS During polyethylene glycol 6000 (PEG 6000)-simulated drought stress, we found that the osmotic adjustment substances were accumulated and the antioxidant enzyme activities were enhanced in S. psammophila roots. A total of 8172 differentially expressed genes were identified in roots of S. psammophila through RNA-Sequencing. Based on K-means clustering, their expression patterns were classified into nine clusters, which were enriched in several stress-related processes including transcriptional regulation, response to various stresses, cell death, etc. Moreover, 672 transcription factors from 45 gene families were differentially expressed under drought stress. Furthermore, a weighted gene co-expression network was constructed, and eight genes were identified as hub genes. We demonstrated the function of two hub genes, magnesium-dependent phosphatase 1 (SpMDP1) and SpWRKY33, through overexpression in Arabidopsis thaliana. Overexpression of the two hub genes enhanced the drought tolerance in transgenic plants, suggesting that the identification of candidate drought tolerance genes in this study was highly efficient and credible. CONCLUSIONS Our study analyzed the physiological and molecular responses to drought stress in S. psammophila, and these results contribute to dissect the mechanism of drought tolerance of S. psammophila and facilitate identification of critical genes involved in drought tolerance for willow breeding.
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Affiliation(s)
- Huixia Jia
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 China
| | - Jin Zhang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 China
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831 USA
| | - Jianbo Li
- Experimental Center of Forestry in North China, Chinese Academy of Forestry, Beijing, 102300 China
| | - Pei Sun
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 China
| | - Yahong Zhang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 China
| | - Xuebing Xin
- Experimental Center of Forestry in North China, Chinese Academy of Forestry, Beijing, 102300 China
| | - Mengzhu Lu
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 China
| | - Jianjun Hu
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 China
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Ganie SA, Molla KA, Henry RJ, Bhat KV, Mondal TK. Advances in understanding salt tolerance in rice. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:851-870. [PMID: 30759266 DOI: 10.1007/s00122-019-03301-3308] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 02/02/2019] [Indexed: 05/28/2023]
Abstract
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.
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Affiliation(s)
- Showkat Ahmad Ganie
- ICAR-National Bureau of Plant Genetic Resources, IARI Campus, Pusa, New Delhi, 110012, India
| | - Kutubuddin Ali Molla
- ICAR-National Bureau of Plant Genetic Resources, IARI Campus, Pusa, New Delhi, 110012, India
| | - Robert J Henry
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - K V Bhat
- ICAR-National Bureau of Plant Genetic Resources, IARI Campus, Pusa, New Delhi, 110012, India
| | - Tapan Kumar Mondal
- ICAR-National Bureau of Plant Genetic Resources, IARI Campus, Pusa, New Delhi, 110012, India.
- ICAR-National Research Centre on Plant Biotechnology, IARI, Pusa, New Delhi, 110012, India.
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Ganie SA, Molla KA, Henry RJ, Bhat KV, Mondal TK. Advances in understanding salt tolerance in rice. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:851-870. [PMID: 30759266 DOI: 10.1007/s00122-019-03301-8] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 02/02/2019] [Indexed: 05/03/2023]
Abstract
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.
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Affiliation(s)
- Showkat Ahmad Ganie
- ICAR-National Bureau of Plant Genetic Resources, IARI Campus, Pusa, New Delhi, 110012, India
| | - Kutubuddin Ali Molla
- ICAR-National Bureau of Plant Genetic Resources, IARI Campus, Pusa, New Delhi, 110012, India
| | - Robert J Henry
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - K V Bhat
- ICAR-National Bureau of Plant Genetic Resources, IARI Campus, Pusa, New Delhi, 110012, India
| | - Tapan Kumar Mondal
- ICAR-National Bureau of Plant Genetic Resources, IARI Campus, Pusa, New Delhi, 110012, India.
- ICAR-National Research Centre on Plant Biotechnology, IARI, Pusa, New Delhi, 110012, India.
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