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Farboud SP, Fathi E, Valipour B, Farahzadi R. Toward the latest advancements in cardiac regeneration using induced pluripotent stem cells (iPSCs) technology: approaches and challenges. J Transl Med 2024; 22:783. [PMID: 39175068 PMCID: PMC11342568 DOI: 10.1186/s12967-024-05499-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 07/10/2024] [Indexed: 08/24/2024] Open
Abstract
A novel approach to treating heart failures was developed with the introduction of iPSC technology. Knowledge in regenerative medicine, developmental biology, and the identification of illnesses at the cellular level has exploded since the discovery of iPSCs. One of the most frequent causes of mortality associated with cardiovascular disease is the loss of cardiomyocytes (CMs), followed by heart failure. A possible treatment for heart failure involves restoring cardiac function and replacing damaged tissue with healthy, regenerated CMs. Significant strides in stem cell biology during the last ten years have transformed the in vitro study of human illness and enhanced our knowledge of the molecular pathways underlying human disease, regenerative medicine, and drug development. We seek to examine iPSC advancements in disease modeling, drug discovery, iPSC-Based cell treatments, and purification methods in this article.
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Affiliation(s)
- Seyedeh Parya Farboud
- Department of Clinical Sciences, Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran
| | - Ezzatollah Fathi
- Department of Clinical Sciences, Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran.
| | - Behnaz Valipour
- Department of Anatomical Sciences, Sarab Faculty of Medical Sciences, Sarab, Iran
- Department of Anatomical Sciences, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Raheleh Farahzadi
- Hematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
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2
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Zhang D, Ma Y, Naz M, Ahmed N, Zhang L, Zhou JJ, Yang D, Chen Z. Advances in CircRNAs in the Past Decade: Review of CircRNAs Biogenesis, Regulatory Mechanisms, and Functions in Plants. Genes (Basel) 2024; 15:958. [PMID: 39062737 PMCID: PMC11276256 DOI: 10.3390/genes15070958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Revised: 07/12/2024] [Accepted: 07/17/2024] [Indexed: 07/28/2024] Open
Abstract
Circular RNA (circRNA) is a type of non-coding RNA with multiple biological functions. Whole circRNA genomes in plants have been identified, and circRNAs have been demonstrated to be widely present and highly expressed in various plant tissues and organs. CircRNAs are highly stable and conserved in plants, and exhibit tissue specificity and developmental stage specificity. CircRNAs often interact with other biomolecules, such as miRNAs and proteins, thereby regulating gene expression, interfering with gene function, and affecting plant growth and development or response to environmental stress. CircRNAs are less studied in plants than in animals, and their regulatory mechanisms of biogenesis and molecular functions are not fully understood. A variety of circRNAs in plants are involved in regulating growth and development and responding to environmental stress. This review focuses on the biogenesis and regulatory mechanisms of circRNAs, as well as their biological functions during growth, development, and stress responses in plants, including a discussion of plant circRNA research prospects. Understanding the generation and regulatory mechanisms of circRNAs is a challenging but important topic in the field of circRNAs in plants, as it can provide insights into plant life activities and their response mechanisms to biotic or abiotic stresses as well as new strategies for plant molecular breeding and pest control.
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Affiliation(s)
- Dongqin Zhang
- Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, China; (D.Z.); (M.N.); (N.A.); (L.Z.); (J.-J.Z.); (D.Y.)
| | - Yue Ma
- College of Agriculture, Guizhou University, Guiyang 550025, China;
| | - Misbah Naz
- Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, China; (D.Z.); (M.N.); (N.A.); (L.Z.); (J.-J.Z.); (D.Y.)
| | - Nazeer Ahmed
- Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, China; (D.Z.); (M.N.); (N.A.); (L.Z.); (J.-J.Z.); (D.Y.)
| | - Libo Zhang
- Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, China; (D.Z.); (M.N.); (N.A.); (L.Z.); (J.-J.Z.); (D.Y.)
| | - Jing-Jiang Zhou
- Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, China; (D.Z.); (M.N.); (N.A.); (L.Z.); (J.-J.Z.); (D.Y.)
- Medical Research Council Mitochondrial Biology Unit, University of Cambridge, Cambridge CB2 0XY, UK
| | - Ding Yang
- Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, China; (D.Z.); (M.N.); (N.A.); (L.Z.); (J.-J.Z.); (D.Y.)
| | - Zhuo Chen
- Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, China; (D.Z.); (M.N.); (N.A.); (L.Z.); (J.-J.Z.); (D.Y.)
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Zhang A, Pi W, Wang Y, Li Y, Wang J, Liu S, Cui X, Liu H, Yao D, Zhao R. Update on functional analysis of long non-coding RNAs in common crops. FRONTIERS IN PLANT SCIENCE 2024; 15:1389154. [PMID: 38872885 PMCID: PMC11169716 DOI: 10.3389/fpls.2024.1389154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 05/08/2024] [Indexed: 06/15/2024]
Abstract
With the rapid advances in next-generation sequencing technology, numerous non-protein-coding transcripts have been identified, including long noncoding RNAs (lncRNAs), which are functional RNAs comprising more than 200 nucleotides. Although lncRNA-mediated regulatory processes have been extensively investigated in animals, there has been considerably less research on plant lncRNAs. Nevertheless, multiple studies on major crops showed lncRNAs are involved in crucial processes, including growth and development, reproduction, and stress responses. This review summarizes the progress in the research on lncRNA roles in several major crops, presents key strategies for exploring lncRNAs in crops, and discusses current challenges and future prospects. The insights provided in this review will enhance our comprehension of lncRNA functions in crops, with potential implications for improving crop genetics and breeding.
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Affiliation(s)
- Aijing Zhang
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
- College of Agronomy, Jilin Agricultural University, Changchun, China
| | - Wenxuan Pi
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Yashuo Wang
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Yuxin Li
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Jiaxin Wang
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Shuying Liu
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Xiyan Cui
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Huijing Liu
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Dan Yao
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Rengui Zhao
- College of Agronomy, Jilin Agricultural University, Changchun, China
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Zhang P, Li F, Tian Y, Wang D, Fu J, Rong Y, Wu Y, Gao T, Zhang H. Transcriptome Analysis of Sesame ( Sesamum indicum L.) Reveals the LncRNA and mRNA Regulatory Network Responding to Low Nitrogen Stress. Int J Mol Sci 2024; 25:5501. [PMID: 38791539 PMCID: PMC11122487 DOI: 10.3390/ijms25105501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 05/05/2024] [Accepted: 05/11/2024] [Indexed: 05/26/2024] Open
Abstract
Nitrogen is one of the important factors restricting the development of sesame planting and industry in China. Cultivating sesame varieties tolerant to low nitrogen is an effective way to solve the problem of crop nitrogen deficiency. To date, the mechanism of low nitrogen tolerance in sesame has not been elucidated at the transcriptional level. In this study, two sesame varieties Zhengzhi HL05 (ZZ, nitrogen efficient) and Burmese prolific (MD, nitrogen inefficient) in low nitrogen were used for RNA-sequencing. A total of 3964 DEGs (differentially expressed genes) and 221 DELs (differentially expressed lncRNAs) were identified in two sesame varieties at 3d and 9d after low nitrogen stress. Among them, 1227 genes related to low nitrogen tolerance are mainly located in amino acid metabolism, starch and sucrose metabolism and secondary metabolism, and participate in the process of transporter activity and antioxidant activity. In addition, a total of 209 pairs of lncRNA-mRNA were detected, including 21 pairs of trans and 188 cis. WGCNA (weighted gene co-expression network analysis) analysis divided the obtained genes into 29 modules; phenotypic association analysis identified three low-nitrogen response modules; through lncRNA-mRNA co-expression network, a number of hub genes and cis/trans-regulatory factors were identified in response to low-nitrogen stress including GS1-2 (glutamine synthetase 1-2), PAL (phenylalanine ammonia-lyase), CHS (chalcone synthase, CHS), CAB21 (chlorophyll a-b binding protein 21) and transcription factors MYB54, MYB88 and NAC75 and so on. As a trans regulator, lncRNA MSTRG.13854.1 affects the expression of some genes related to low nitrogen response by regulating the expression of MYB54, thus responding to low nitrogen stress. Our research is the first to provide a more comprehensive understanding of DEGs involved in the low nitrogen stress of sesame at the transcriptome level. These results may reveal insights into the molecular mechanisms of low nitrogen tolerance in sesame and provide diverse genetic resources involved in low nitrogen tolerance research.
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Affiliation(s)
- Pengyu Zhang
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; (P.Z.); (F.L.); (Y.T.); (D.W.); (J.F.); (Y.R.); (Y.W.)
- The Shennong Laboratory, Zhengzhou 450002, China
| | - Feng Li
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; (P.Z.); (F.L.); (Y.T.); (D.W.); (J.F.); (Y.R.); (Y.W.)
- The Shennong Laboratory, Zhengzhou 450002, China
| | - Yuan Tian
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; (P.Z.); (F.L.); (Y.T.); (D.W.); (J.F.); (Y.R.); (Y.W.)
- The Shennong Laboratory, Zhengzhou 450002, China
| | - Dongyong Wang
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; (P.Z.); (F.L.); (Y.T.); (D.W.); (J.F.); (Y.R.); (Y.W.)
- The Shennong Laboratory, Zhengzhou 450002, China
| | - Jinzhou Fu
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; (P.Z.); (F.L.); (Y.T.); (D.W.); (J.F.); (Y.R.); (Y.W.)
- The Shennong Laboratory, Zhengzhou 450002, China
| | - Yasi Rong
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; (P.Z.); (F.L.); (Y.T.); (D.W.); (J.F.); (Y.R.); (Y.W.)
- The Shennong Laboratory, Zhengzhou 450002, China
| | - Yin Wu
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; (P.Z.); (F.L.); (Y.T.); (D.W.); (J.F.); (Y.R.); (Y.W.)
| | - Tongmei Gao
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; (P.Z.); (F.L.); (Y.T.); (D.W.); (J.F.); (Y.R.); (Y.W.)
- The Shennong Laboratory, Zhengzhou 450002, China
| | - Haiyang Zhang
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; (P.Z.); (F.L.); (Y.T.); (D.W.); (J.F.); (Y.R.); (Y.W.)
- The Shennong Laboratory, Zhengzhou 450002, China
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Li Q, Zhang Z, Li K, Zhu Y, Sun K, He C. Identification of microRNAs and their target genes associated with chasmogamous and cleistogamous flower development in Viola prionantha. PLANTA 2024; 259:116. [PMID: 38592549 DOI: 10.1007/s00425-024-04398-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 03/26/2024] [Indexed: 04/10/2024]
Abstract
MAIN CONCLUSION Differentially expressed microRNAs were found associated with the development of chasmogamous and cleistogamous flowers in Viola prionantha, revealing potential roles of microRNAs in the developmental evolution of dimorphic flowers. In Viola prionantha, chasmogamous (CH) flowers are induced by short daylight, while cleistogamous (CL) flowers are triggered by long daylight. How environmental factors and microRNAs (miRNAs) affect dimorphic flower formation remains unknown. In this study, small RNA sequencing was performed on CH and CL floral buds at different developmental stages in V. prionantha, differentially expressed miRNAs (DEmiRNAs) were identified, and their target genes were predicted. In CL flowers, Viola prionantha miR393 (vpr-miR393a/b) and vpr-miRN3366 were highly expressed, while in CH flowers, vpr-miRN2005, vpr-miR172e-2, vpr-miR166m-3, vpr-miR396f-2, and vpr-miR482d-2 were highly expressed. In the auxin-activated signaling pathway, vpr-miR393a/b and vpr-miRN2005 could target Vpr-TIR1/AFB and Vpr-ARF2, respectively, and other DEmiRNAs could target genes involved in the regulation of transcription, e.g., Vpr-AP2-7. Moreover, Vpr-UFO and Vpr-YAB5, the main regulators in petal and stamen development, were co-expressed with Vpr-TIR1/AFB and Vpr-ARF2 and showed lower expression in CL flowers than in CH flowers. Some V. prionantha genes relating to the stress/defense responses were co-expressed with Vpr-TIR1/AFB, Vpr-ARF2, and Vpr-AP2-7 and highly expressed in CL flowers. Therefore, in V. prionantha, CH-CL flower development may be regulated by the identified DEmiRNAs and their target genes, thus providing the first insight into the formation of dimorphic flowers in Viola.
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Affiliation(s)
- Qiaoxia Li
- Life Science College, Northwest Normal University, Anning East Road 967, Anning, Lanzhou, 730070, Gansu, China.
| | - Zuoming Zhang
- Life Science College, Northwest Normal University, Anning East Road 967, Anning, Lanzhou, 730070, Gansu, China
| | - Kunpeng Li
- State Key Laboratory of Plant Diversity and Specialty Crops / State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Nanxincun 20, Xiangshan, Beijing, 100093, China
- China National Botanical Garden, Beijing, 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yuanyuan Zhu
- Life Science College, Northwest Normal University, Anning East Road 967, Anning, Lanzhou, 730070, Gansu, China
| | - Kun Sun
- Life Science College, Northwest Normal University, Anning East Road 967, Anning, Lanzhou, 730070, Gansu, China
| | - Chaoying He
- State Key Laboratory of Plant Diversity and Specialty Crops / State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Nanxincun 20, Xiangshan, Beijing, 100093, China.
- China National Botanical Garden, Beijing, 100093, China.
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
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Mohammadi P, Asefpour Vakilian K. Machine learning provides specific detection of salt and drought stresses in cucumber based on miRNA characteristics. PLANT METHODS 2023; 19:123. [PMID: 37940966 PMCID: PMC10631058 DOI: 10.1186/s13007-023-01095-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 10/19/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Specific detection of the type and severity of plant abiotic stresses helps prevent yield loss by considering timely actions. This study introduces a novel method to detect the type and severity of stress in cucumber plants under salinity and drought conditions. Various features, i.e., morphological (image textural features), physiological/biochemical (relative water content, chlorophyll, catalase activity, anthocyanins, phenol content, and proline), as well as miRNA characteristics (the concentration of miRNA-156a, miRNA-166i, miRNA-399g, and miRNA-477b) were extracted from plant leaves, and machine learning methods were used to predict the type and severity of stress by having these features. Support vector machine (SVM) with parameters optimized by genetic algorithm (GA) and particle swarm optimization (PSO) was used for machine learning. RESULTS The coefficient of determination of predicting the stress type and severity in plants under both stresses was 0.61, 0.82, and 0.99 using morphological, physiological/biochemical, and miRNA characteristics, respectively. This reveals machine learning methods optimized by metaheuristic optimization techniques can provide specific detection of salt and drought stresses in cucumber plants based on miRNA characteristics. Among the study miRNAs, miRNA-477b and miRNA-399g had the highest and lowest contribution to salt and drought stresses, respectively. CONCLUSIONS Comapred to conventional plant traits, miRNAs are more reliable features for providing us with valuable information about plant abiotic diseases at early stages. Using an electrochemical miRNA biosensor similar to one used in this work to measure the miRNA concentration in plant leaves and using a machine learning algorithm such as SVM enable farmers to detect the salt and drought stress at early stages in cucumber plants with very high accuracy.
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Affiliation(s)
- Parvin Mohammadi
- Department of Agrotechnology, College of Abouraihan, University of Tehran, Tehran, Iran
| | - Keyvan Asefpour Vakilian
- Department of Biosystems Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.
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Singh S, Sinha T, Panda AC. Regulation of microRNA by circular RNA. WILEY INTERDISCIPLINARY REVIEWS. RNA 2023:e1820. [PMID: 37783567 DOI: 10.1002/wrna.1820] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 09/04/2023] [Accepted: 09/05/2023] [Indexed: 10/04/2023]
Abstract
Circular (circ)RNAs have emerged as novel regulators of gene expression through various mechanisms. However, most publications focus on functional circRNAs regulating target gene expression by interacting with micro (mi)RNAs and acting as competing endogenous RNAs (ceRNAs). Although the theory of miRNA sponging by ceRNAs suggests the inhibition of miRNA activity, many studies are biased toward the selection of miRNAs showing a reverse expression pattern compared with circRNA expression. Although several computational tools and molecular assays have been used to predict and validate the interaction of miRNAs with circRNAs, the actual validation of functional in vivo interactions needs careful consideration of molecular experiments with specific controls. As extensive research is being performed on circRNA, many questions arise on the functional significance of circRNA-miRNA interactions. We hope the critical discussion on the criteria for selecting circRNA-miRNA pairs for functional analysis and providing standard methods for validating circRNA-miRNA interactions will advance our understanding of circRNAs as novel gene regulators. This article is categorized under: Regulatory RNAs/RNAi/Riboswitches > Regulatory RNAs Translation > Regulation RNA Methods > RNA Analyses in Cells.
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Affiliation(s)
- Suman Singh
- Institute of Life Sciences, Nalco Square, Bhubaneswar, Odisha, India
| | - Tanvi Sinha
- Institute of Life Sciences, Nalco Square, Bhubaneswar, Odisha, India
| | - Amaresh C Panda
- Institute of Life Sciences, Nalco Square, Bhubaneswar, Odisha, India
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Zaynab M, Sharif Y, Xu Z, Fiaz S, Al-Yahyai R, Yadikar HA, Al Kashgry NAT, Qari SH, Sadder M, Li S. Genome-Wide Analysis and Expression Profiling of DUF668 Genes in Glycine max under Salt Stress. PLANTS (BASEL, SWITZERLAND) 2023; 12:2923. [PMID: 37631135 PMCID: PMC10459691 DOI: 10.3390/plants12162923] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 08/02/2023] [Accepted: 08/03/2023] [Indexed: 08/27/2023]
Abstract
The DUF668 gene performs a critical role in mitigating the impact of abiotic stress factors. In this study, we identified 30 DUF668 genes in a soybean genome, distributed across fifteen chromosomes. The phylogenetic analysis classified the DUF668 genes into three groups (group I, group II, and group III). Interestingly, gene structure analysis illustrated that several GmDUF668 genes were without introns. Furthermore, the subcellular localization results suggested that GmDUF668 proteins were present in the nucleus, mitochondria, cytoplasm, and plasma membrane. GmDUF668 promoters were analyzed in silico to gain insight into the presence of regulatory sequences for TFs binding. The expression profiling illustrated that GmDUF668 genes showed expression in leaves, roots, nodules, and flowers. To investigate their response to salt stress, we utilized the RNA sequencing data of GmDUF668 genes. The results unveiled that GmDUF668-8, GmDUF668-20, and GmDUF668-30 genes were upregulated against salt stress treatment. We further validated these findings using qRT-PCR analysis. These findings provide a scientific basis to explore the functions of GmDUF668 genes against different stress conditions.
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Affiliation(s)
- Madiha Zaynab
- College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China;
- Shenzhen Key Laboratory of Marine Bioresource & Eco-Environmental Sciences, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China
| | - Yasir Sharif
- College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Zhaoshi Xu
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, National Key Facility for Crop Gene Resources and Genetic Improvement, Key Laboratory of Biology and Genetic Improvement of Triticeae Crops, Ministry of Agriculture, Beijing 100081, China
| | - Sajid Fiaz
- Department of Plant Breeding and Genetics, The University of Haripur, Haripur 22620, Pakistan
| | - Rashid Al-Yahyai
- Department of Plant Sciences, College of Agricultural and Marine Sciences, Sultan Qaboos University, Al-Khod, P.O. Box 34, Muscat 123, Oman
| | - Hamad. A. Yadikar
- Department of Biological Sciences, Faculty of Science, Kuwait University, P.O. Box 5969, Safat 13060, Kuwait
| | - Najla Amin T. Al Kashgry
- Department of Biology, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
| | - Sameer H. Qari
- Department of Biology, Al-Jumum University College, Umm Al-Qura University, Makkah 21955, Saudi Arabia
| | - Monther Sadder
- School of Agriculture, University of Jordan, Amman 11942, Jordan
| | - Shuangfei Li
- Shenzhen Key Laboratory of Marine Bioresource & Eco-Environmental Sciences, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China
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Pradhan UK, Meher PK, Naha S, Rao AR, Gupta A. ASLncR: a novel computational tool for prediction of abiotic stress-responsive long non-coding RNAs in plants. Funct Integr Genomics 2023; 23:113. [PMID: 37000299 DOI: 10.1007/s10142-023-01040-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 03/23/2023] [Accepted: 03/24/2023] [Indexed: 04/01/2023]
Abstract
Abiotic stresses are detrimental to plant growth and development and have a major negative impact on crop yields. A growing body of evidence indicates that a large number of long non-coding RNAs (lncRNAs) are key to many abiotic stress responses. Thus, identifying abiotic stress-responsive lncRNAs is essential in crop breeding programs in order to develop crop cultivars resistant to abiotic stresses. In this study, we have developed the first machine learning-based computational model for predicting abiotic stress-responsive lncRNAs. The lncRNA sequences which were responsive and non-responsive to abiotic stresses served as the two classes of the dataset for binary classification using the machine learning algorithms. The training dataset was created using 263 stress-responsive and 263 non-stress-responsive sequences, whereas the independent test set consists of 101 sequences from both classes. As the machine learning model can adopt only the numeric data, the Kmer features ranging from sizes 1 to 6 were utilized to represent lncRNAs in numeric form. To select important features, four different feature selection strategies were utilized. Among the seven learning algorithms, the support vector machine (SVM) achieved the highest cross-validation accuracy with the selected feature sets. The observed 5-fold cross-validation accuracy, AU-ROC, and AU-PRC were found to be 68.84, 72.78, and 75.86%, respectively. Furthermore, the robustness of the developed model (SVM with the selected feature) was evaluated using an independent test dataset, where the overall accuracy, AU-ROC, and AU-PRC were found to be 76.23, 87.71, and 88.49%, respectively. The developed computational approach was also implemented in an online prediction tool ASLncR accessible at https://iasri-sg.icar.gov.in/aslncr/ . The proposed computational model and the developed prediction tool are believed to supplement the existing effort for the identification of abiotic stress-responsive lncRNAs in plants.
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Affiliation(s)
- Upendra Kumar Pradhan
- Division of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, 110012, India
| | - Prabina Kumar Meher
- Division of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, 110012, India.
| | - Sanchita Naha
- Division of Computer Applications, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, 110012, India
| | | | - Ajit Gupta
- Division of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, 110012, India
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Long Non-Coding RNAs of Plants in Response to Abiotic Stresses and Their Regulating Roles in Promoting Environmental Adaption. Cells 2023; 12:cells12050729. [PMID: 36899864 PMCID: PMC10001313 DOI: 10.3390/cells12050729] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 02/10/2023] [Accepted: 02/21/2023] [Indexed: 03/03/2023] Open
Abstract
Abiotic stresses triggered by climate change and human activity cause substantial agricultural and environmental problems which hamper plant growth. Plants have evolved sophisticated mechanisms in response to abiotic stresses, such as stress perception, epigenetic modification, and regulation of transcription and translation. Over the past decade, a large body of literature has revealed the various regulatory roles of long non-coding RNAs (lncRNAs) in the plant response to abiotic stresses and their irreplaceable functions in environmental adaptation. LncRNAs are recognized as a class of ncRNAs that are longer than 200 nucleotides, influencing a variety of biological processes. In this review, we mainly focused on the recent progress of plant lncRNAs, outlining their features, evolution, and functions of plant lncRNAs in response to drought, low or high temperature, salt, and heavy metal stress. The approaches to characterize the function of lncRNAs and the mechanisms of how they regulate plant responses to abiotic stresses were further reviewed. Moreover, we discuss the accumulating discoveries regarding the biological functions of lncRNAs on plant stress memory as well. The present review provides updated information and directions for us to characterize the potential functions of lncRNAs in abiotic stresses in the future.
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Guo L, Ren D, Zhang Y, Wang Q, Yu S, Xu X, Luo L, Yu J, Liang T. A comprehensive pan-cancer analysis reveals cancer-associated robust isomiR expression landscapes in miRNA arm switching. Mol Genet Genomics 2023; 298:521-535. [PMID: 36813858 DOI: 10.1007/s00438-023-01997-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 02/08/2023] [Indexed: 02/24/2023]
Abstract
MicroRNAs (miRNAs), important regulators of gene expression, play critical roles in various biological processes and tumorigenesis. To reveal the potential relationships between multiple isomiRs and arm switching, we performed a comprehensive pan-cancer analysis to discuss their roles in tumorigenesis and cancer prognosis. Our results showed that many miR-#-5p and miR-#-3p pairs from the two arms of pre-miRNA may have abundant expression levels, and they are often involved in distinct functional regulatory networks by targeting different mRNAs, although they may also interact with common targets. The two arms may show diverse isomiR expression landscapes, and their expression ratio might vary, mainly depending on tissue type. Dominantly expressed isomiRs can be used to determine distinct cancer subtypes that are associated with clinical outcome, indicating that they may be potential prognostic biomarkers. Our findings indicate robust and flexible isomiR expression landscapes that will enrich the study of miRNAs/isomiRs and aid in revealing the potential roles of multiple isomiRs yielded by arm switching in tumorigenesis.
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Affiliation(s)
- Li Guo
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
| | - Dekang Ren
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
| | - Yuting Zhang
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
| | - Qiushi Wang
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
| | - Shiyi Yu
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
| | - Xinru Xu
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing, 210023, China
| | - Lulu Luo
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing, 210023, China
| | - Jiafeng Yu
- Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023, China
| | - Tingming Liang
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing, 210023, China.
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12
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Othman SMIS, Mustaffa AF, Che-Othman MH, Samad AFA, Goh HH, Zainal Z, Ismail I. Overview of Repressive miRNA Regulation by Short Tandem Target Mimic (STTM): Applications and Impact on Plant Biology. PLANTS (BASEL, SWITZERLAND) 2023; 12:669. [PMID: 36771753 PMCID: PMC9918958 DOI: 10.3390/plants12030669] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/13/2023] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
The application of miRNA mimic technology for silencing mature miRNA began in 2007. This technique originated from the discovery of the INDUCED BY PHOSPHATE STARVATION 1 (IPS1) gene, which was found to be a competitive mimic that prevents the cleavage of the targeted mRNA by miRNA inhibition at the post-transcriptional level. To date, various studies have been conducted to understand the molecular mimic mechanism and to improve the efficiency of this technology. As a result, several mimic tools have been developed: target mimicry (TM), short tandem target mimic (STTM), and molecular sponges (SPs). STTM is the most-developed tool due to its stability and effectiveness in decoying miRNA. This review discusses the application of STTM technology on the loss-of-function studies of miRNA and members from diverse plant species. A modified STTM approach for studying the function of miRNA with spatial-temporal expression under the control of specific promoters is further explored. STTM technology will enhance our understanding of the miRNA activity in plant-tissue-specific development and stress responses for applications in improving plant traits via miRNA regulation.
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Affiliation(s)
- Syed Muhammad Iqbal Syed Othman
- Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia
| | - Arif Faisal Mustaffa
- Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia
| | - M. Hafiz Che-Othman
- Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia
| | - Abdul Fatah A. Samad
- Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, Skudai, Johor Bahru 81310, Johor, Malaysia
| | - Hoe-Han Goh
- Institute of Systems Biology, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia
| | - Zamri Zainal
- Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia
- Institute of Systems Biology, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia
| | - Ismanizan Ismail
- Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia
- Institute of Systems Biology, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia
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13
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Wheat Long Noncoding RNAs from Organelle and Nuclear Genomes Carry Conserved microRNA Precursors Which May Together Comprise Intricate Networks in Insect Responses. Int J Mol Sci 2023; 24:ijms24032226. [PMID: 36768565 PMCID: PMC9917100 DOI: 10.3390/ijms24032226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/10/2023] [Accepted: 01/20/2023] [Indexed: 01/24/2023] Open
Abstract
Long noncoding RNAs (lncRNAs) are a diverse class of noncoding RNAs that are typically longer than 200 nucleotides but lack coding potentials. Advances in deep sequencing technologies enabled a better exploration of this type of noncoding transcripts. The poor sequence conservation, however, complicates the identification and annotation of lncRNAs at a large scale. Wheat is among the leading food staples worldwide whose production is threatened by both biotic and abiotic stressors. Here, we identified putative lncRNAs from durum wheat varieties that differ in stem solidness, a major source of defense against wheat stem sawfly, a devastating insect pest. We also analyzed and annotated lncRNAs from two bread wheat varieties, resistant and susceptible to another destructive pest, orange wheat blossom midge, with and without infestation. Several putative lncRNAs contained potential precursor sequences and/or target regions for microRNAs, another type of regulatory noncoding RNAs, which may indicate functional networks. Interestingly, in contrast to lncRNAs themselves, microRNAs with potential precursors within the lncRNA sequences appeared to be highly conserved at the sequence and family levels. We also observed a few putative lncRNAs that have perfect to near-perfect matches to organellar genomes, supporting the recent observations that organellar genomes may contribute to the noncoding transcript pool of the cell.
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14
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Penno C, Tremblay J, O'Connell Motherway M, Daburon V, El Amrani A. Analysis of Small Non-coding RNAs as Signaling Intermediates of Environmentally Integrated Responses to Abiotic Stress. Methods Mol Biol 2023; 2642:403-427. [PMID: 36944891 DOI: 10.1007/978-1-0716-3044-0_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Research to date on abiotic stress responses in plants has been largely focused on the plant itself, but current knowledge indicates that microorganisms can interact with and help plants during periods of abiotic stress. In our research, we aim to investigate the interkingdom communication between the plant root and the rhizo-microbiota. Our investigation showed that miRNA plays a pivotal role in this interkingdom communication. Here, we describe a protocol for the analysis of miRNA secreted by the plant root, which includes all of the steps from the isolation of the miRNA to the bioinformatics analysis. Because of their short nucleotide length, Next Generation Sequencing (NGS) library preparation from miRNAs can be challenging due to the presence of dimer adapter contaminants. Therefore, we highlight some strategies we adopt to inhibit the generation of dimer adapters during library preparation. Current screens of miRNA targets mostly focus on the identification of targets present in the same organism expressing the miRNA. Our bioinformatics analysis challenges the barrier of evolutionary divergent organisms to identify candidate sequences of the microbiota targeted by the miRNA of plant roots. This protocol should be of interest to researchers investigating interkingdom RNA-based communication between plants and their associated microorganisms, particularly in the context of holobiont responses to abiotic stresses.
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Affiliation(s)
- Christophe Penno
- ECOBIO, CNRS UMR 6553, Université de Rennes, Campus Beaulieu, Rennes, France
| | - Julien Tremblay
- Energy, Mining and Environment, National Research Council Canada, Montréal, QC, Canada
- Institut National de la Recherche Scientifique, Centre Armand-Frappier Santé Biotechnologie, Laval, QC, Canada
| | | | - Virginie Daburon
- ECOBIO, CNRS UMR 6553, Université de Rennes, Campus Beaulieu, Rennes, France
| | - Abdelhak El Amrani
- ECOBIO, CNRS UMR 6553, Université de Rennes, Campus Beaulieu, Rennes, France.
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15
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Jian G, Mo Y, Hu Y, Huang Y, Ren L, Zhang Y, Hu H, Zhou S, Liu G, Guo J, Ling Y. Variety-Specific Transcriptional and Alternative Splicing Regulations Modulate Salt Tolerance in Rice from Early Stage of Stress. RICE (NEW YORK, N.Y.) 2022; 15:56. [PMID: 36326968 PMCID: PMC9633917 DOI: 10.1186/s12284-022-00599-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
Salt stress poses physiological drought, ionic toxicity and oxidative stress to plants, which causes premature senescence and death of the leaves if the stress sustained. Salt tolerance varied between different rice varieties, but how different rice varieties respond at the early stage of salt stress has been seldom studied comprehensively. By employing third generation sequencing technology, we compared gene expressional changes in leaves of three rice varieties that varied in their level of tolerance after salt stress treatment for 6 h. Commonly up-regulated genes in all rice varieties were related to water shortage response and carbon and amino acids metabolism at the early stage of salt stress, while reactive oxygen species cleavage genes were induced more in salt-tolerant rice. Unexpectedly, genes involved in chloroplast development and photosynthesis were more significantly down-regulated in the two salt tolerant rice varieties 'C34' and 'Nona Bokra'. At the same time, genes coding ribosomal protein were suppressed to a more severe extent in the salt-sensitive rice variety 'IR29'. Interestingly, not only variety-specific gene transcriptional regulation, but also variety-specific mRNA alternative splicing, on both coding and long-noncoding genes, were found at the early stage of salt stress. In summary, differential regulation in gene expression at both transcriptional and post-transcriptional levels, determine and fine-tune the observed response in level of damage in leaves of specific rice genotypes at early stage of salt stress.
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Affiliation(s)
- Guihua Jian
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, People's Republic of China
| | - Yujian Mo
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, People's Republic of China
| | - Yan Hu
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, People's Republic of China
| | - Yongxiang Huang
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, People's Republic of China
- South China Branch of National Saline-Alkali Tolerant Rice Technology Innovation Center, Zhanjiang, 524088, People's Republic of China
| | - Lei Ren
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, People's Republic of China
- South China Branch of National Saline-Alkali Tolerant Rice Technology Innovation Center, Zhanjiang, 524088, People's Republic of China
| | - Yueqin Zhang
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, People's Republic of China
- South China Branch of National Saline-Alkali Tolerant Rice Technology Innovation Center, Zhanjiang, 524088, People's Republic of China
| | - Hanqiao Hu
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, People's Republic of China
- South China Branch of National Saline-Alkali Tolerant Rice Technology Innovation Center, Zhanjiang, 524088, People's Republic of China
| | - Shuangxi Zhou
- Department of Biological Sciences, Macquarie University, North Ryde, NSW, 2019, Australia
| | - Gang Liu
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Academy of Agricultural Sciences, Wuhan, 430064, People's Republic of China
| | - Jianfu Guo
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, People's Republic of China.
- South China Branch of National Saline-Alkali Tolerant Rice Technology Innovation Center, Zhanjiang, 524088, People's Republic of China.
| | - Yu Ling
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, People's Republic of China.
- South China Branch of National Saline-Alkali Tolerant Rice Technology Innovation Center, Zhanjiang, 524088, People's Republic of China.
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16
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Ku YS, Cheung MY, Cheng SS, Nadeem MA, Chung G, Lam HM. Using the Knowledge of Post-transcriptional Regulations to Guide Gene Selections for Molecular Breeding in Soybean. FRONTIERS IN PLANT SCIENCE 2022; 13:867731. [PMID: 35432392 PMCID: PMC9009170 DOI: 10.3389/fpls.2022.867731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 03/07/2022] [Indexed: 06/14/2023]
Abstract
The omics approaches allow the scientific community to successfully identify genomic regions associated with traits of interest for marker-assisted breeding. Agronomic traits such as seed color, yield, growth habit, and stress tolerance have been the targets for soybean molecular breeding. Genes governing these traits often undergo post-transcriptional modifications, which should be taken into consideration when choosing elite genes for molecular breeding. Post-transcriptional regulations of genes include transcript regulations, protein modifications, and even the regulation of the translational machinery. Transcript regulations involve elements such as microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) for the maintenance of transcript stability or regulation of translation efficiency. Protein modifications involve molecular modifications of target proteins and the alterations of their interacting partners. Regulations of the translational machinery include those on translation factors and the ribosomal protein complex. Post-transcriptional regulations usually involve a set of genes instead of a single gene. Such a property may facilitate molecular breeding. In this review, we will discuss the post-transcriptional modifications of genes related to favorable agronomic traits such as stress tolerance, growth, and nutrient uptake, using examples from soybean as well as other crops. The examples from other crops may guide the selection of genes for marker-assisted breeding in soybean.
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Affiliation(s)
- Yee-Shan Ku
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Ming-Yan Cheung
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Sau-Shan Cheng
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Muhammad Azhar Nadeem
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Turkey
| | - Gyuhwa Chung
- Department of Biotechnology, Chonnam National University, Yeosu, South Korea
| | - Hon-Ming Lam
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
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