ترنسکریپتومیکس: رویکردی با کارایی بالا در مطالعه واکنش گیاهان به تنش‌های غیر زیستی

نوع مقاله : مروری

نویسندگان

1 گروه علوم باغبانی، دانشکده کشاورزی، دانشگاه ارومیه، ارومیه، ایران.

2 گروه تولید و ژنتیک گیاهی، دانشکده کشاورزی، دانشگاه ارومیه، ارومیه، ایران.

3 دانش آموخته کارشناسی ارشد، انستیتو علوم اعصاب تولوز، فرانسه.

4 گروه تولید و ژنتیک گیاهی، دانشکده کشاورزی، دانشگاه مراغه، مراغه، ایران.

10.22126/cbb.2026.12913.1118

چکیده

مقدمه: امنیت غذایی جهانی با چالش‌های متعددی نظیر رشد سریع جمعیت، تغییرات اقلیمی، تخریب محیط زیست، خشکسالی، ظهور بیماری‌های جدید و شوری خاک‌ها تهدید می‌شود. در محیط طبیعی، گیاهان به طور مکرر با عوامل محیطی نامطلوبی مواجه می‌شوند که بر بقا و رشد آن‌ها تأثیرات قابل توجهی می‌گذارد و این عوامل به طور کلی تحت عنوان ناملایمات شناخته می‌شوند. تنش‌های گیاهی به طور کلی شامل تنش‌های غیر زیستی و تنش‌های زیستی هستند. تنش‌های غیرزیستی عمدتاً ناشی از شرایط فیزیکی یا شیمیایی مانند دماهای بالا، خشکی، آسیب‌های ناشی از سرما، غلظت بالای نمک، وجود فلزات سنگین و آسیب‌های مکانیکی هستند. از سوی دیگر، تنش‌های زیستی به واسطه عوامل بیولوژیکی مختلفی نظیر قارچ‌ها، باکتری‌ها، ویروس‌ها، نماتدها و گیاهان انگلی ایجاد می‌شوند. بهبود عملکرد گیاهان و افزایش مقاومت آن‌ها در برابر تنش‌های غیرزیستی، از اهداف کلیدی در برنامه‌های به­نژادی مدرن محسوب می‌شود. پیشرفت فناوری‌های اُمیکس در دهه‌های اخیر، چشم‌انداز جدیدی برای درک مکانیسم‌های مولکولی پاسخ گیاهان به تنش‌های محیطی فراهم کرده است. در این میان، ترنسکریپتومیکس به عنوان یکی از رویکردهای کلیدی، امکان تحلیل جامع الگوهای بیان ژن را در شرایط مختلف تنش فراهم می‌آورد و می‌تواند در شناسایی ژن‌های مسئول تحمل تنش، مسیرهای تنظیمی و مکانیسم‌های سازگاری گیاه نقشی مؤثر ایفا کند.
مواد و روش‌ها: مقاله حاضر یک مقاله مروری می­باشد که به شیوه تحلیل محتوا با جستجوی کلید واژه‌های ترنسکریپتومیکس، تنش­های غیر زیستی، بیان ژن در مقاله‌های مرتبط در پایگاه­های اینترنتی PubMed،Web of Science ،Google Scholar و Scopus تهیه شده است.
یافته‌ها: نتایج نشان داد که ترنسکریپتومیکس، با تمرکز بر بررسی کل مجموعه رونوشت‌های RNA، ابزار مؤثری برای شناسایی ژن‌ها و مسیرهای مولکولی دخیل در پاسخ به تنش‌های محیطی است. فناوری‌های مختلف مورد استفاده در این حوزه شامل ریزآرایه (Microarray)، توالی­یابی آر ان ای (RNA Sequencing; RNA- Seq) و توالی‌یابی نسل سوم (Third-Generation Sequencing) می‌باشند که هر یک دارای مزایا و محدودیت‌های خاصی هستند. مطالعات نشان می‌دهد که RNA-Seq نسبت به روش‌های مبتنی بر ریزآرایه، دقت و گستره‌ی دینامیکی بیشتری دارد و قادر است رونوشت‌های نادر، ایزوفرم‌های متفاوت و RNAهای غیرکُدکننده را شناسایی کند. در مقابل، توالی‌یابی نسل سوم با توانایی خواندن (خوانش) طولانی‌تر و پوشش کامل‌تر، به شناسایی ساختارهای پیچیده‌تر ژن‌ها کمک می‌کند. بررسی‌های موردی در غلات نشان می‌دهند که تحلیل‌های ترنسکریپتومی به‌طور موفقیت‌آمیز عوامل مهمی مانند فاکتورهای رونویسی، مسیرهای تنظیم ROS، انتقال‌دهنده‌های یونی، اجزای سیگنالینگ هورمونی و ژن‌های مرتبط با سازگاری به خشکی، شوری، دماهای شدید و تنش اکسیداتیو را شناسایی کرده‌اند. ترکیب داده‌های ترنسکریپتومی با ابزارهای پیشرفته بیوانفورماتیکی، دقت تحلیل را افزایش داده و فهم عمیق‌تری از سازوکارهای مولکولی تحمل تنش فراهم می‌سازد.
نتیجه‌گیری: ترنسکریپتومیکس به‌عنوان یکی از ارکان اصلی زیست‌فناوری مدرن، نقشی اساسی در شناسایی ژن‌ها و مسیرهای مولکولی مرتبط با تحمل به تنش‌های غیرزیستی ایفا می‌کند. تلفیق این فناوری با سایر رویکردهای اُمیکس نظیر ژنومیکس، پروتئومیکس و متابولومیکس، درک جامع‌تری از تعاملات مولکولی در گیاهان فراهم کرده و مسیر جدیدی برای توسعه‌ی گیاهان مقاوم به تنش و کشاورزی پایدار هموار می‌سازد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Transcriptomics: A High-Throughput Approach to Studying Plants Responses to Abiotic Stresses

نویسندگان [English]

  • Mahdieh Modareskia 1
  • Maryam Kholghi 2
  • Reza Darvishzadeh 2
  • Hadi Alipour 2
  • Somaieh Soufimaleky 3
  • Hamid Hatami Maleki 4
1 Cereal Research Center, Razi University, Kermanshah, Iran.
2 Department of Plant Production and Genetics, Faculty of Agriculture, Urmia University, Urmia, Western Azerbaijan, Iran.
3 MSc Graduate, Institut des Sciences du Cerveau de Toulouse, France.
4 Department of Plant Production and Genetics, Faculty of Agriculture, University of Maragheh, Maragheh, Iran.
چکیده [English]

Introduction: Global food security is threatened by numerous challenges such as rapid population growth, climate change, environmental degradation, drought, the emergence of new diseases, and soil salinity. In natural environments, plants frequently encounter unfavorable environmental factors that significantly impact their survival and growth; these factors are collectively referred to as adversities. Plant stresses are generally categorized into abiotic stresses and biotic stresses. Abiotic stresses primarily arise from physical or chemical conditions such as high temperatures, drought, cold damage, high salt concentrations, the presence of heavy metals, and mechanical injuries. On the other hand, biotic stresses are caused by various biological agents such as fungi, bacteria, viruses, nematodes, and parasitic plants. Enhancing plant performance and improving tolerance to abiotic stresses remain central aims in modern breeding programs. Recent advances in omics technologies have enabled deeper exploration of the molecular mechanisms that govern plant stress responses. Among these, transcriptomics has emerged as a core analytical platform, offering genome-wide insights into gene expression dynamics and facilitating the identification of stress-responsive genes, regulatory mechanisms, and adaptive physiological pathways.
Materials and methods: This review synthesizes findings from peer-reviewed studies retrieved from major scientific databases including, PubMed, Web of Science, Scopus, and Google Scholar using targeted keywords related to transcriptomics, abiotic stress, and gene expression. Content analysis was used to evaluate transcriptomic technologies, their applications in cereal breeding, and their integration with other omics approaches.
Results: Transcriptomics, through comprehensive profiling of RNA transcripts, provides a powerful tool for uncovering molecular pathways associated with plant adaptation to environmental stresses. Key platforms include Microarray, RNA-Seq, and Third-Generation Sequencing (TGS). RNA-Seq offers high sensitivity, broad dynamic range, and the ability to detect rare transcripts, alternative isoforms, and non-coding RNAs, while TGS improves reconstruction of full-length transcripts and complex gene architectures. Case studies in cereals demonstrate that transcriptomic analyses have successfully identified transcription factors, ROS-regulatory pathways, ion transporters, hormone-mediated signaling components, and multiple candidate genes underlying tolerance to drought, salinity, temperature extremes, and oxidative stress. Integrating transcriptomic datasets with advanced bioinformatics pipelines further enhances predictive accuracy and supports more robust functional interpretations.
Conclusion: Transcriptomics represents a key component of modern molecular breeding by enabling precise characterization of gene regulatory networks involved in tolerance to abiotic stresses. Its integration with complementary omics approaches such as, genomics, proteomics, and metabolomics provides a systems-level framework for identifying key molecular targets and accelerating the development of stress-resilient crop varieties. Continued advances in sequencing technologies and computational analytics are expected to further expand the utility of transcriptomics in sustainable crop improvement.

کلیدواژه‌ها [English]

  • Environmental stresse
  • Gene expression
  • Plant response
  • Transcriptom tecchniques
  • Molecular breeding

مراجع

Agarwal, P., Arora, R., Ray, S., Singh, A. K., Singh, V. P., Takatsuji, H., Kapoor, S., & Tyagi, A. K. 2007. Genome-wide identification of C2H2 zinc-finger gene family in rice and their phylogeny and expression analysis. Plant Molecular Biology, 65(4): 467–485. https://doi.org//10.1007/s11103-007-9199-y
Aguayo, P., Lagos, C., Conejera, D., Medina, D., Fernandez, M., & Valenzuela, S. 2019. Transcriptome-wide identification of WRKY family genes and their expression under cold acclimation in Eucalyptus globulus. Trees (Berl), 33(10): 1313–1327. https://doi: 10.1007/s00468-019-01860-3
Akbudak, M., Filiz, E., & Kontbay, K. 2018. DREB2 (dehydration-responsive element-binding protein 2) type transcription factor in sorghum (Sorghum bicolor): Genome-wide identification, characterization and expression profiles under cadmium and salt stresses. 3 Biotech, 8: 426. https://doi:  10.1007/s13205-018-1454-1
Anderson, J. T., & Mitchell-Olds, T. 2011. Ecological genetics and genomics of plant defenses: Evidence and approaches. Functional Ecology, 25(2): 312–324. https://doi.org/10.1111/j.1365-2435.2010.01785.x
Andrási, N., Pettkó-Szandtner, A., & Szabados, L. 2021. Diversity of plant heat shock factors: Regulation, interactions, and functions. Journal of Experimental Botany, 72(5): 1558–1575. https://doi.org/10.1093/jxb/eraa576
Ankit, A., Singh, A., Kumar, S., & Singh, A. 2023. Morphophysiological and transcriptome analysis reveal that reprogramming of metabolism, phytohormones and root development pathways governs the potassium (K+) deficiency response in two contrasting chickpea cultivars. Frontiers in Plant Science, 13: 1054821. https://doi.org/10.3389/fpls.2022.1054821
Arora, R., Agarwal, D., Singh, A. K., Singh, V. P., Tyagi, A. K., & Kapoor, S. 2007. MADS-box gene family in rice: Genome-wide identification, organization and expression profiling during reproductive development and stress. BMC Genomics, 8(1): 242. https://doi.org/10.1186/1471-2164-8-242
Athanasopoulou, K., Boti, M. A., Adamopoulos, P. G., Skourou, P. C., & Scorilas, A. 2021. Third-generation sequencing: The spearhead towards the radical transformation of modern genomics. Life, 12: 30. https://doi.org/10.3390/life12010030
Bayer, P.E., Golicz, A.A., Scheben, A., Batley, J. and Edwards, D. 2020. Plant pan-genomes are the new reference. Nature Plants, 6(8): 914-920. https://doi.org/10.1038/s41477-020-0733-0
Bi, C., Yu, Y., Dong, C., Yang, Y., Zhai, Y., Du, F., Xia, C., Ni, Z., Kong, X., & Zhang, L. 2021. The bZIP transcription factor TabZIP15 improves salt stress tolerance in wheat. Plant Biotechnology Journal, 19(2): 209. https://doi.org/10.1111/pbi.13453
Carrera, F. P., Noceda, C., Maridueña-Zavala, M. G., & Cevallos-Cevallos, J. M. 2021. Metabolomics, a Powerful Tool for Understanding Plant Abiotic Stress. Agronomy, 11(5): 824. https://doi.org/10.3390/agronomy11050824
Challam, C., Nandhakumar, N., & Kardile, H. B. 2019. Advances in crop improvement: Use of miRNA technologies for crop improvement. OMICS-Based Approaches in Plant Biotechnology, 55–74. https://doi.org/10.3389/fpls.2015.00208
Chandran, A. K. N., Kim, J. W., Yoo, Y. H., Park, H. Y., Kim, Y. J., Cho, M. H., & Jung, K. H. 2019. Transcriptome analysis of rice-seedling roots under soil-salt stress using RNA-Seq method. Plant Biotechnology Reports, 13(6): 567–578. https://doi.org/10.10077/s11816-019-00550-3
Chauhan, H., Khurana, N., Agarwal, P., & Khurana, P. 2011. Heat shock factors in rice (Oryza sativa L.): Genome-wide expression analysis during reproductive development and abiotic stress. Molecular Genetics and Genomics, 286(2): 171–187. https://doi.org/10.1007/s00438-011-0638-8
Chen, K., Song, M., Guo, Y., Liu, L., Xuo, H., Dai, H., & Zhang, Z. 2019. MdMYB46 could enhance salt and osmotic stress tolerance in apple by directly activating stress-responsive signals. Plant Biotechnology Journal, 17(12): 2341–2355. https://doi.org/10.1111/pbi.13151
Chen, Y., Li, C., Zhang, B., Yi, J., Yang, Y., Kong, C., Lei, C., & Gong, M. 2019. The role of the late embryogenesis-abundant (LEA) protein family in development and the abiotic stress response: A comprehensive expression analysis of potato (Solanum Tuberosum). Genes, 10(2): 148. https://doi.org/10.3390/genes10020148
Cheng, Z., Lei, N., Li, S., Liao, W., Shen, J., & Peng, M. 2019. The regulatory effects of MeTCP4 on cold stress tolerance in Arabidopsis thaliana: a transcriptome analysis. Plant Physiology Biochemistry, 138: 9–16. https://doi.org/10.1016/j.plaphy.2019.02.015
Conesa, A., Madrigal, P., Tarazona, S., Gomez-Cabrero, D., Cervera, A., McPherson, A., Szcześniak, M. W., Gaffney, D. J., Elo, L. L., Zhang, X., & Mortazavi, A. 2016. A survey of best practices for RNA-seq data analysis. Genome biology, 17, 13. https://doi.org/10.1186/s13059-016-0881-8
 Dai, X., Zhuang, Z., Boschiero, C., Dong, Y., & Zhao, P. X. 2021. Legume IP V3: From models to crops—An integrative gene discovery platform for translational genomics in legumes. Nucleic Acids Research, 49: D1472–D1479. https://doi.org/10.1093/nar/gkaa976
Dash, S., Van Hemert, J., Hong, L., Wise, R. P. & Dickerson, J. A. 2012. PLEXdb: Gene expression resources for plants and plant pathogens. Nucleic Acids Research, 40: D1194–D1201. https://doi.org/10.1093/nar/gkr938
de Abreu, A.R., Ibrahim, J., Lemonidis, V. et al. 2025. Comparison of current methods for genome-wide DNA methylation profiling. Epigenetics & Chromatin, 18: 57. https://doi.org/10.1186/s13072-025-00616-3
Des Marais, D. L., McKay, J. K., Richards, J. H., Sen, S., Wayne, T., & Juenger, T. E. 2012. Physiological genomics of response to soil drying in diverse Arabidopsis accessions. The Plant cell, 24(3): 893–914. https://doi.org/10.1105/tpc.112.096180
El-Esawi, M. A., Al-Ghamdi, A. A., Ali, H. M., & Ahmad, M. 2019. Overexpression of AtWRKY30 transcription factor enhances heat and drought stress tolerance in wheat (Triticum aestivum L.). Genes, 10(2): 163. https://doi.org/10.3390/genes10020163
FAO. 2022. The future of food and agriculture – Drivers and triggers for transformation. The Future of Food and Agriculture, no. 3. Rome. https://doi.org/10.4060/cc0959en
Fernandez-Pozo, N., Zheng, Y., Snyder, S. I., Nicolas, P., Shinozaki, Y., Fei, Z., Catala, C., Giovannoni, J. J., Rose, J. K. C., & Mueller, L. A. 2017. The tomato expression atlas. Bioinformatics, 33(15): 2397–2398. https://doi.org/10.1093/bioinformatics/btx190
Fu, X., Lu, Z., Wei, H., Zhang, J., Yang, X., Wu, A., Ma, L., Kang, M., Lu, J., & Wang, H. 2020. Genome-wide identification and expression analysis of the NHX (sodium/hydrogen antiporter) gene family in cotton. Frontiers in Genetics, 18(11): 964. https://doi.org/10.3389/fgene.2020.00964
García-Ruiz, S., Gil-Martínez, A. L., Cisterna, A., Jurado-Ruiz, F., Reynolds, R. H., Cookson, M. R., Hardy, J., Ryten, M., & Botía, J. A. 2021. CoExp: A web tool for the exploitation of co-expression networks. Frontiers in Genetics, 12: 630187. https://doi.org/10.3389/fgene.2021.630187
Grant, D., Nelson, R. T., Cannon, S. B., & Shoemaker, R. C. 2009. SoyBase, the USDA-ARS soybean genetics and genomics database. Nucleic Acids Research, 38: D843–D846. https://doi.org/10.1093/nar/gkp798
Guo, H., Mao, M., Deng, Y., Sun, L., Chen, R., Cao, P., Lai, J., Zhang, Y., Wang, C., Li, C., Li, Y., Bai, Q., Ta, T., Yang, J., & Wang, S. 2022. Multi-omics analysis reveals that SlERF.D6 synergistically regulates SGAs and fruit development. Frontiers in Plant Science, 13: 860577. https://doi.org/10.3389/fpls.2022.860577
Guo, Z. H., Liu, C. X., Xiao, W., Wang, R., Zhang, L., Guan, S., Zhang, S., Cai, L., Liu, H., Huang, X., Guo, J., Zhou, X., Du, X., Pan, G., & Chen, Z. 2019. Comparative transcriptome profile analysis of anther development in reproductive stage of rice in cold region under cold stress. Plant Molecular Biology Reporter, 37(03): 129–145. https://doi.org/10.1007/s11105-019-01137-6
Gupta, A., & Shaw, B. P. 2020. Biochemical and molecular characterisations of salt tolerance components in rice varieties tolerant and sensitive to NaCl: The relevance of Na+ exclusion in salt tolerance in the species. Functional Plant Biology, 48(1): 72–87. https://doi.org/10.1071/FP20089
Hamada, K., Hongo, K., Suwabe, K., Shimizu, A., Nagayama, T., Abe, R., Kikuchi, S., Yamamoto, N., Fujii, T., Yokoyama, K., Tsuchida, H., Sano, K., Matsuoka, M., Kurata, N., & Yano, K. 2011. Oryza Express: An integrated database of gene expression networks and omics annotations in rice. Plant Cell Physiology, 52(2): 220–229. https://doi.org/10.1093/pcp/pcq195
Hrdlickova, R., Toloue, M., & Tian, B. 2017. RNA-Seq methods for transcriptome analysis. WIREs RNA, 8: e1364. https://doi.org/10.1002/wrna.1364
Hruz, T., Laule, O., Szabo, G., Wessendorp, F., Bleuler, S., Oertle, L., Widmayer, P., Gruissem, W., & Zimmermann, P. 2008. Genevestigator V3: A reference expression database for the meta-analysis of transcriptomes. Advances in Bioinformatics, 2008: 420747. https://doi.org/10.1155/2008/420747
Hu, J., Zhou, J., Peng, X., Xu, H., Liu, C., Du, B., Yuan, H., Zhu, L., & He, G. 2011. The Bphi008a gene interacts with the ethylene pathway and transcriptionally regulates MAPK genes in the response of rice to brown planthopper feeding. Plant Physiology, 156: 856–872. https://doi.org/10.1104/pp.111.174334
Huang, L., Kuang, L., Li, X., Wu, L., Wu, D., & Zhang, G. 2018. Metabolomic and transcriptomic analyses reveal the reasons why Hordeum marinum has higher salt tolerance than Hordeum vulgare. Environmental and Experimental Botany, 156: 48–61. https://doi.org/10.1016/j.envexpbot.2018.08.019
Huang, Y., Chen, H., Reinfelder, J. R., Liang, X., Sun, C., Liu, C., Li, F., & Yi, J. A. 2019. Transcriptomic (RNA-seq) analysis of genes responsive to both cadmium and arsenic stress in rice root. The Science of The Total Environment, 666: 445–460. https://doi.org/10.1016/j.scitotenv.2019.02.281
Hwang, J. E., Kim, Y. J., Jeong, D. Y., & Park, H. C. 2019. Transcriptome analysis of Korean fir (Abies koreana) in response to elevated carbon dioxide and high temperature. Plant Biotechnology Reports, 13(6): 603–612. https://doi.org/10.1007/s11816-019-00553-0
Jain, M., Ghanashyam, C., & Bhattacharjee, A. 2010. Comprehensive expression analysis suggests overlapping and specific roles of rice glutathione S-transferase genes during development and stress responses. BMC Genomics, 11: 73. https://doi.org/10.1186/1471-2164-11-73
Jiang, Q. T., Liu, T., Ma, J., Wei, Y. M., Lu, Z. X., Lan, X. J., Dai, S. F., & Zheng, Y. L. 2011. Characterization of barley Prp1 gene and its expression during seed development and under abiotic stress. Genetica, 139(10): 1283–1292. https://doi.org/10.1007/s10709-012-9630-4
Kamali, S.,  & Singh, A. 2023. Genomic and Transcriptomic Approaches to Developing Abiotic Stress-Resilient Crops. Agronomy, 13(12): 2903. https://doi.org/10.3390/agronomy13122903
Kaur, B., Sandhu, K. S., Kamal, R., Kaur, K., Singh, J., Röder, M. S., & Muqaddasi, Q. H. 2021. Omics for the improvement of abiotic, biotic, and agronomic traits in major cereal crops: Applications, challenges, and prospects. Plants, 10(10): 1989. https://doi.org/10.3390/plants10101989
Khan, M. K. R., Ditta, A., Wang, B., Fang, L., Anwar, Z., Ijaz, A., Ahmed, S. R., & Khan, S. M. 2023. The intervention of multi-omics approaches for developing abiotic stress resistance in cotton crop under climate change. In: Sustainable Agriculture in the Era of the OMICs Revolution; Prakash CS, Fiaz S, Nadeem MA, Baloch FS, Qayyum A (Eds), Springer: Cham, Switzerland: 37–82. https://doi.org/10.1007/978-3-031-15568-0_3
Kim, S. H., Kim, D. Y., Yacoubi, I., & Seo, Y. W. 2021. Development of single-nucleotide polymorphism markers of salinity tolerance for Tunisian durum wheat using RNA sequencing. Acta Agriculturae Scandinavica, Section B—Soil  Plant Science, 71(1): 28–44. https://doi.org/10.1080/09064710.2020.1843701
Kinaret, P.A.S., Serra, A., Federico, A., Kohonen, P., Nymark, P., Liampa, I., Ha, M.K., Choi, J.S., Jagiello, K., Sanabria, N. & Melagraki, G. 2020. Transcriptomics in toxicogenomics, part I: experimental design, technologies, publicly available data, and regulatory aspects. Nanomaterials, 10(4), p.750.
Klay, I., Gouia, S., Liu, M., Mila, I., Khoudi, H., Bernadac, A., Bouzayen, M., & Pirrello, J. 2018. Ethylene Response Factors (ERF) are differentially regulated by different abiotic stress types in tomato plants. Plant Science, 274: 137–145. https://doi.org/10.1016/j.plantsci.2018.05.023
Kokkanti, R. R., Vemuri, H., Gaddameedi, A., & Rayalacheruvu, U. 2022. Variability in drought stress-induced physiological, biochemical responses and expression of DREB2A, NAC4 and HSP70 genes in groundnut (Arachis hypogaea L.). South African Journal of Botany, 144: 448–457. https://doi.org/10.1016/j.sajb.2021.09.025
Kolesnikov, N., Hastings, E., Keays, M., Melnichuk, O., Tang, Y. A., Williams, E., Dylag, M., Kurbatova, N., Brandizi, M., Burdett, T., Megy, K., Pilicheva, E., Rustici, G., Tikhonov, A., Parkinson, H., Petryszak, R., Sarkans, U., & Brazma, A. 2015. ArrayExpress update—Simplifying data submissions. Nucleic Acids Research, 43: D1113–D1116. https://doi.org/10.1093/nar/gku1057
Kumar, J., Gunapati, S., Kianian, S. F., & Singh, S. P. 2018. Comparative analysis of transcriptome in two wheat genotypes with contrasting levels of drought tolerance. Protoplasma, 255: 1487–1504. https://doi.org/10.1007/s00709-018-1237-x
Kumar, M., Chauhan, A. S., Yusuf, M. A., Sanyal, I., & Chauhan, P. 2019. Transcriptome sequencing of Chickpea (Cicer arietinum L.) genotypes for identification of drought-responsive genes under drought stress condition. Plant Molecular Biology Reporter, 37: 186–203. https://doi.org/10.1007/s11105-019-01147-4
Kumar, R., Das, S.P., Choudhury, B.U., Kumar, A., Prakash, N.R., Verma, R., Chakraborti, M., Devi, A.G., Bhattacharjee, B., Das, R. & Das, B. 2024. Advances in genomic tools for plant breeding: harnessing DNA molecular markers, genomic selection, and genome editing. Biological Research, 57(1): 80. https://doi.org/10.1186/s40659-024-00562-6
Kusunoki, K., Kobayashi, Y., & Koyama, H. 2018. Comparative characterization of aluminum responsive transcriptome in Arabidopsis roots: comparison with other rhizotoxic ions at different stress intensities. Soil Science and Plant Nutrition, 64: 1–13. https://doi.org/10.1080/00380768.2018.1454253
Lee, S. S., Jung, W. Y., Park, H. J., Lee, A., Kwon, S. Y., Kim, H. S., & Cho, H. S. 2018. Genome-wide analysis of alternative splicing in an inbred cabbage (Brassica oleracea L.) line ‘HO’ in response to heat stress. Current Genomics, 19: 12–20. https://doi.org/10.2174/1389202918666170705151901
Li, J., Gao, Z., Zhou, L., Li, L., Zhang, J., Liu, Y., & Chen, H. 2019. Comparative transcriptome analysis reveals K+ transporter gene contributing to salt tolerance in eggplant. BMC Plant Biology, 19: 67–85. https://doi.org/10.1186/s12870-019-1663-8
Li, P. F., Cai, J., Luo, X., Chang, T., Li, J., Zhao, Y., & Xu, Y. 2018. Transformation of wheat Triticum aestivum with the HvBADH1 transgene from hulless barley improves salinity-stress tolerance. Acta Physiology Plant, 41: 155–169. https://doi.org/10.1007/s11738-019-2940-8
Li, S., Han, X., Lu, Z., Qiu, W., Yu, M., Li, H., He, Z., & Zhuo, R. 2022. MAPK cascades and transcriptional factors: Regulation of heavy metal tolerance in plants. International Journal of Molecular Sciences, 23: 4463. https://doi.org/10.3390/ijms23084463
 Li, W., Sun, Y., Wang, B., Xie, H., Wang, J., & Nan, Z. 2020. Transcriptome analysis of two soybean cultivars identifies an aluminum responsive antioxidant enzyme GmCAT1. Bioscience, Biotechnology and Biochemistry, 84: 1394–1400. https://doi.org/10.1080/09168451.2020.1740970
Liu, X., Zhang, Q., Yang, G., Zhang, C., Dong, H., Liu, Y., Yin, R., & Lin, L. 2020. Pivotal roles of tomato photoreceptor SlUVR8 in seedling development and UV-B stress tolerance. Biochemical and Biophysical Research Communications, 522: 177–183. https://doi.org/10.1016/j.bbrc.2019.11.073
Liu, Y., Beyer, A., & Aebersold, R. 2016. On the Dependency of Cellular Protein Levels on mRNA Abundance. Cell, 165(3): 535–550. https://doi.org/10.1016/j.cell.2016.03.014
Liu, Y., Chen, J., Yin, C., Wang, Z., Wu, H., Shen, K., Zhang, Z., Kang, L., Xu, S., Bi, A. & Zhao, X., 2023. A high-resolution genotype–phenotype map identifies the TaSPL17 controlling grain number and size in wheat. Genome Biology, 24(1): 196. https://doi.org/10.1186/s13059-023-03044-2
Lu, J. X., Bi, H. T., Zhang, A. H., Guo, T., Li, Y., &  Li, Y. 2018. Comparative transcriptome analysis by RNA-Seq of the regulation of low temperature responses in Dendranthema morifolium. Horticulture Environment and Biotechnology, 59(03): 383–395. https://doi.org/10.1007/s13580-018-0042-y
Maheendran, R., Chilakala, A. R., Shankar, C., Yasodha, P.,  Abida, & P. S. 2022. transcriptomics and its role in crop improvement. Advances in Agriculture: Recent Perspectives, 179–194. https://www.researchgate.net/publication/362931207
Mahmood, U., Li, X., Fan, Y., Chang, W., Niu, Y., Li, J, Qu, C., & Lu, K. 2022. Multi-omics revolution to promote plant breeding efficiency. Front. Plant Sci., 13: 1062952. https://doi.org/10.3389/fpls.2022.1062952
Meena, R. P., Ghosh, G., Vishwakarma, H., & Padaria, J. C. 2022. Expression of a Pennisetum glaucum gene DREB2A confers enhanced heat, drought and salinity tolerance in transgenic Arabidopsis. Molecular Biology Reports, 49(12): 7347–7358. https://doi.org/10.1007/s11033-022-07527-6
Mian, A., Oomen, R. J. F. J., Isayenkov, S., Sentenac, H., Maathuis, F. J. M., & Véry, A. A. 2011. Over-expression of an Na+- and K+-permeable HKT transporter in barley improves salt tolerance. Plant Journal, 68(3): 468–479. https://doi.org/10.1111/j.1365-313X.2011.04701.x
Morozova, O., Hirst, M., & Marra, M. A. 2009. Applications of new sequencing technologies for transcriptome analysis. Annual Review of Genomics and Human Genetics, 10(1): 135–151. https://doi.org/10.1146/annurev-genom-082908-145957
Moustakas, M. 2025. Molecular Mechanisms of Plant Abiotic Stress Tolerance. International Journal of Molecular Sciences, 26(6), 2731. https://doi.org/10.3390/ijms26062731
Munir, S., Liu, H., Xing, Y., Hussain, S., Ouyang, B., Zhang, Y., & Li, H.,  Ye, Z. 2016. Overexpression of calmodulin-like (ShCML44) stress-responsive gene from Solanum habrochaites enhances tolerance to multiple abiotic stresses. Scientific Reports, 6: 31772. https://doi.org/10.1038/srep31772
Muthusamy, S. K., Lenka, S. K., Katiyar, A., Chinnusamy, V., Singh, A. K., & Bansal, K. C. 2018. Genome-Wide identification and analysis of biotic and abiotic stress regulation of C4 photosynthetic pathway genes in rice. Applied Biochemistry and Biotechnology, 187(1): 221–238. https://doi.org/10.1007/s12010-018-2809-0
Nair, J.R., & Pandey, K.M., 2024. Role of Molecular Markers in Crop Breeding: A Review. Agricultural Reviews. 45(1): 52-59. doi: 10.18805/ag.R-2322
Navabpour, S., Najafi, H., Gharakhani, M., & Navabpour, R. 2024. Assessment of Differential Gene Expression and Biochemical Traits in Bread Wheat Cultivars in Response to Silver Nitrate Stress. Cereal Biotechnology and Biochemistry, 3(4), 479–497 (In Persian) https://doi.org/10.22126/cbb.2025.4151.1094
Nawaz, G., & Kang, H. 2019. Rice OsRH58, a chloroplast DEAD-box RNA helicase, improves salt or drought stress tolerance in Arabidopsis by affecting chloroplast translation. BMC Plant Biology, 19(01): 17–28. https://doi.org/10.1186/s12870-018-1623-8
Nejat, N., Ramalingam, A., & Mantri, N. 2018. Advances in transcriptomics of plants. Plant Genetics and Molecular Biology, 161–185. https://doi.org/10.1007/10201752
Parida, S. K., Mondal, N., Yadav, R., Vishwakarma, H., & Rana, J. C. 2023. Mining legume germplasm for genetic gains: An Indian perspective. Frontiers Genetics, 14: 996828. https://doi.org/10.3389/fgene.2023.996828
Park, S. C., Kim, H. S., Lee, H. U., Kim, Y. H., & Kwak, S. S. 2019. Overexpression of Arabidopsis YUCCA6 enhances environment stress tolerance and inhibits storage root formation in sweetpotato. Plant Biotechnology Reports, 13: 345–352. https://doi.org/10.1007/s11816-019-00537-0
Piétu, G., Mariage-Samson, R., Fayein, N. A., Matingou, C., Eveno, E., Houlgatte, R., Decraene, C., Vandenbrouck, Y., Tahi, F., Devignes, M. D., Wirkner, U., Ansorge, W., Cox, D., Nagase, T., Nomura, N., & Auffray, C. 1999. The genexpress IMAGE knowledge base of the human brain transcriptome: A prototype integrated resource for functional and computational genomics. Genome Research, 9: 195–209. https://doi.org/10.1101/gr.9.2.195
Portwood, J. L. II, Woodhouse, M. R., Cannon, E. K., Gardiner, J. M., Harper, L. C., Schaeffer, M. L., Walsh, J. R., Sen, T. Z., Cho, K. T., Schott, D. A., Braun, B. L., Dietze, M., Dunfee, B., Elsik, C. G., Manchanda, N., Coe, E., Sachs, M., Stinard, P., Tolbert, J., Zimmerman, S., & Andorf, C. M. 2018. MaizeGDB 2018: The maize multi-genome genetics and genomics database. Nucleic Acids Research, 47: D1146–D1154. https://doi.org/10.1093/nar/gky1046
Ramírez-González, R., Borrill, P., Lang, D., Harrington, S. A., Brinton, J., Venturini, L., Davey, M., Jacobs, J., van Ex, F., Pasha, A., Khedikar, Y., Robinson, S. J., Cory, A. T., Florio, T., Concia, L., Juery, C., Schoonbeek, H., Steuernagel, B., Xiang, D., Ridout, C. J., Chalhoub, B., Mayer, K. F. X., Benhamed, M., Latrasse, D., &  Bendahmane, A. 2018. The transcriptional landscape of hexaploid wheat across tissues and cultivar. Science, 361: 3083–3109. https://doi.org/10.1126/science.aar6089
Ray, S., Agarwal, P., Arora, R., Kapoor, S., & Tyagi, A. K. 2007. Expression analysis of calcium-dependent protein kinase gene family during reproductive development and abiotic stress conditions in rice (Oryza sativa L. ssp. indica). Molecular Genetics and Genomics, 278(5): 493–505. https://doi.org/10.1007/s00438-007-0267-4
Rich-Griffin, C., Stechemesser, A., Finch, J., Lucas, E., Ott, S., Schäfer, P. 2020. Single-Cell Transcriptomics: A High-Resolution Avenue for Plant Functional Genomics. Trends Plant Sci., 25(2):186-197. doi: 10.1016/j.tplants.2019.10.008.
Roychowdhury, R., Das, S. P., Gupta, A., Parihar, P., Chandrasekhar, K., Sarker, U., Kumar, A., Ramrao, D. P., & Sudhakar, C. 2023. Multi-Omics Pipeline and Omics-Integration Approach to Decipher Plant’s Abiotic Stress Tolerance Responses. Genes, 14(6): 1281. https://doi.org/10.3390/genes14061281
Saeed, F., Chaudhry, U.K., Bakhsh, A., Raza, A., Saeed, Y., Bohra, A. & Varshney, R.K. 2022. Moving beyond DNA sequence to improve plant stress responses. Frontiers in Genetics, 13: 874648. https://doi.org/10.3389/fgene.2022.874648
Samtani, H., Sharma, A., & Khurana, P. 2022. Overexpression of HVA1 enhances drought and heat stress tolerance in Triticum aestivum doubled haploid plants. Cells, 11(5): 912. https://doi.org/10.3390/cells11050912
Sangwan, R. S., Tripathi, S., Singh, J., Narnoliya, L. K., & Sangwan, N. S. 2013. De novo sequencing and assembly of Centella asiatica leaf transcriptome for mapping of structural, functional and regulatory genes with special reference to secondary metabolism. Gene, 525(1): 58–76. https://doi.org/10.1016/j.gene.2013.04.057
Sato, Y., Takehisa, H., Kamatsuki, K., Minami, H., Namiki, N., Ikawa, H., Ohyanagi, H., Sugimoto, K., Antonio, B.A., & Nagamura, Y. 2012. RiceXPro Version 3.0: Expanding the informatics resource for rice transcriptome. Nucleic Acids Research, 41: D1206–D1213. https://doi.org/10.1093/nar/gks1125
Schaarschmidt, S., Fischer, A., Lawas, L.M.F., Alam, R., Septiningsih, E.M., Bailey-Serres, J., Jagadish, S.V.K., Huettel, B., Hincha, D.K., & Zuther, E. 2020. Utilizing PacBio Iso-Seq for Novel Transcript and Gene Discovery of Abiotic Stress Responses in Oryza sativa L. International Journal of Molecular Science, 21, 8148. https://doi.org/10.3390/ijms21218148
Seong, S. Y., Shim, J. S., Bang, S. W., & Kim, J. K. 2020. Overexpression of OsC3H10, a CCCH-zinc finger, improves drought tolerance in rice by regulating stress-related genes. Plants, 9(10): 1298. https://doi.org/10.3390/plants9101298
Shen, L., Gong, J., Caldo, R. A., Nettleton, D., Cook, D., Cook, R. P., & Dickerson, J. 2005. BarleyBase--an expression profiling database for plant genomics. Nucleic Acids Research, 33: D614–D618. https://doi.org/10.1093/nar/gki123
Shendure, J., Balasubramanian, S., Church, G. M., Gilbert, W., Rogers, J., & Schloss, J. A. 2017. DNA Sequencing at 40: past, present and future. Nature, 550: 345–353.
Shi L., Campbell, G., Jones, W.D., Campagne, F., Wen, Z., Walker., S.J., Su, Z., Chu, T.M., Goodsaid, F.M., Pusztai, L., et al. 2010. The MicroArray Quality Control (MAQC)- II study of common practices for the development and validation of microarray-based predictive models. Nat Biotechnol., 28(8): 827–38. https://doi.org/10.1038/nbt.1665
Shi, F., Dong, Y., Wang, M., & Qiu, D. 2020. Transcriptomics analyses reveal that OsMIOX improves rice drought tolerance by regulating the expression of plant hormone and sugar related genes. Plant Biotechnology Reports, 14(3): 339–349. https://doi.org/10.1007/s11816-020-00608-7
Simorghi, S., Tahmasebi, Z., Mohammadi, R., & Etminan, A. 2025. Expression Analysis of Key Genes in Durum Wheat under Mild and Severe Drought Stress. Cereal Biotechnology and Biochemistry, 4(2), 164–179 (In Persian). https://doi.org/10.22126/cbb.2025.7987.1120
Singh, A., Giri, J., Kapoor, S., Tyagi, A. K., & Pandey, G. K. 2010. Protein phosphatase complement in rice: Genome-wide identification and transcriptional analysis under abiotic stress conditions and reproductive development. BMC Genomics, 11: 435. https://doi.org/10.1186/1471-2164-11-435
Singh, A., Kanwar, P., Yadav, A. K., Mishra, M., Jha, S. K., Baranwal, V., Pandey, A., Kapoor, S., Tyagi, A. K., & Pandey, G. K. 2014. Genome-wide expressional and functional analysis of calcium transport elements during abiotic stress and development in rice. FEBS Journal, 281: 894–915. https://doi.org/10.1111/febs.12656
Singh, B. A., Pandey, A., Baranwal, V., Kapoor, S., & Pandey, G. K. 2012. Comprehensive expression analysis of rice phospholipase D gene family during abiotic stresses and development. Plant Signaling Behavior, 7(7): 847–855. https://doi.org/10.4161/psb.20385
Singh, D., Chaudhary, P., Taunk, J., Kumar Singh, C., Sharma, S., Singh, V.J., Singh, D., Chinnusamy, V., Yadav, R., & Pal, M. 2021. Plant epigenomics for extenuation of abiotic stresses: challenges and future perspectives. J Exp Bot. 72(20): 6836-6855. https://doi.org/10.1093/jxb/erab337
Singh, N., Ujinwal, M. and Singh, A. 2022. Advances in agricultural bioinformatics: an outlook of multi “omics” approaches. In Bioinformatics in Agriculture (pp. 3-21). Academic Press. https://doi.org/10.1016/B978-0-323-89778-5.00001-5
Singh, R. B., Singh, B., & Singh, R. K. 2019. Development of potential dbEST-derived microsatellite markers for genetic evaluation of sugarcane and related cereal grasses. Industrial Crops and Products, 128: 38–47. https://doi.org/10.1016/j.indcrop.2018.10.071
Song, Y., Lv, J., Ma, Z., & Dong, W. 2019. The mechanism of alfalfa (Medicago sativa L.) response to abiotic stress. Plant Growth Regulation, 89: 239–249. https://doi.org/10.1007/s10725-019-00530-1
Springer, N. M., & Schmitz, R. J. 2017. Exploiting induced and natural epigenetic variation for crop improvement. Nature reviews. Genetics, 18(9): 563–575. https://doi.org/10.1038/nrg.2017.45
Stark, R., Grzelak, M., Hadfield, J. 2019. RNA sequencing: the teenage years. Nat Rev Genet. 20(11):631-656. https://doi.org/10.1038/s41576-019-0150-2
Sun, J. Q., Jiang, H. L., Xu, Y. X., Li, H. M., Wu, X. Y., Xie, Q., & Li, C. Y. 2007. The CCCH-type zinc finger proteins AtSZF1 and AtSZF2 regulate salt stress responses in Arabidopsis. Plant Cell Physiology, 48(8): 1148–1158. https://doi.org/10.1093/pcp/pcm088
Tahmasebi, A., Ashrafi-Dehkordi, E., Shahriari, A. G., Mazloomi, S. M., & Ebrahimie, E. 2019. Integrative meta-analysis of transcriptomic responses to abiotic stress in cotton. Progress in Biophysics and Molecular Biology, 146: 112–122. https://doi.org/10.1016/j.pbiomolbio.2019.02.005
Thakur, S., Choudhary, S., & Bhardwaj, P. 2019. Comparative transcriptome profiling under Cadmium stress reveals the uptake and tolerance mechanism in Brassica juncea. Journal of Plant Growth Regulation, 38(08): 1141–1152. https://doi.org/10.1007/s00344-019-09919-8
Tian, T., You, Q., Zhang, L., Yi, X., Yan, H., Xu, W., &  Su, Z. 2016. SorghumFDB: Sorghum functional genomics database with multidimensional network analysis. Database 2016: baw099. https://doi.org/10.1093/database/baw099
Varoquaux, N., Cole, B., Gao, C., Pierroz, G., Baker, C.R., Patel, D., Madera, M., Jeffers, T., Hollingsworth, J., Sievert, J. & Yoshinaga, Y. 2019. Transcriptomic analysis of field-droughted sorghum from seedling to maturity reveals biotic and metabolic responses. Proceedings of the National Academy of Sciences, 116(52): 27124-27132. https://doi.org/10.1073/pnas.1907500116
Vennapusa, A. R., Nimmakayala, P., Zaman-Allah, M. A., & Ratnakumar, P. 2023. Physiological, molecular, and genetic perspectives of environmental stress response in plants. Frontiers in Plant Science, 14: 1213762. https://doi.org/10.3389/fpls.2023.1213762
Vogel, C., Marcotte, E. 2012. Insights into the regulation of protein abundance from proteomic and transcriptomic analyses. Nat Rev Genet. 13: 227–232. https://doi.org/10.1038/nrg3185
von Braun, J., Afsana, K., Fresco, L.O., Hassan, M.H.A. & Torero, M. 2023. Food system concepts and definitions for science and political action. Science and Innovations for Food Systems Transformation, pp.11-17. https://doi.org/10.1038/
Wang, A. D., Lu, X., Chen, X., Wang, S., Wang, J., Guo, L., Yin, Z., Chen, Q., & Ye, W. 2020. Temporal salt stress-induced transcriptome alterations and regulatory mechanisms revealed by PacBio long-reads RNA sequencing in Gossypium hirsutum. BMC Genomics, 21: 838. https://doi.org/10.1186/s12864-020-07260-z
Wang, B. X., Li, N., Li, W., Gao, X., Cha, M., Qin, L., & Liu, L. 2020. Advances in transcriptomics in the response to stress in plants. Global Medical Genetics, 7(2): 30–34. https://doi.org/10.1055/s-0040-1714414
Wang, M., Wang, Y., Zhang, Y., Li, C., Gong, S., Yan, S., Li, G., Hu, G., Ren, H., Yang, J., Yu, T.,  & Yang, K. 2019. Comparative transcriptome analysis of salt-sensitive and salt-tolerant maize reveals potential mechanisms to enhance salt resistance. Genes Genomics, 41(07): 781–801. https://doi.org/10.1007/s13258-019-00793-y
Wang, M., Zhang, X., Li, Q., Chen, X., & Li, X. 2019. Comparative transcriptome analysis to elucidate the enhanced thermotolerance of tea plants (Camellia sinensis) treated with exogenous calcium. Planta, 249(03): 775–786. https://doi.org/10.1007/s00425-018-3039-y
Wang, P., Su, L., Gao, H., Jiang, X., Wu, X., Li, Y., & Zhang, Q. 2018. Genome-wide characterization of bHLH genes in grape and analysis of their potential relevance to abiotic stress tolerance and secondary metabolite biosynthesis. Frontiers in Plant Science, 9: 64. https://doi.org/10.3389/fpls.2018.00064
Wang, Z., Gerstein, M., & Snyder, M. 2009. RNA-Seq: A revolutionary tool for transcriptomics. Nature Reviews Genetics, 10(1): 57–63. https://doi.org/10.1038/nrg2484
Wang, Z., Gerstein, M., & Snyder, M. 2009. RNA-Seq: A revolutionary tool for transcriptomics. Nature Reviews Genetics, 10(1): 5763. http://dx.doi.org/10.1038/nrg2484
Wei, Q., Chen, R., Wei, X., Liu, Y., Zhao, S., Yin, X., & Xie, T. 2020. Genome-wide identification of R2R3-MYB family in wheat and functional characteristics of the abiotic stress responsive gene TaMYB344. BMC Genomics, 21(1): 792. https://doi.org/10.1186/s12864-020-07175-9
Xu, Z., Wang, F., Ma, Y., Dang, H., & Hu, X. 2022. Transcription factor SlAREB1 is involved in the antioxidant regulation under saline–alkaline stress in tomato. Antioxidants, 11(9): 1673. https://doi.org/10.3390/antiox11091673
Yadav, P.K. ed. 2018. Crop improvement for sustainability. New Delhi: Daya Publishing House..
Yan, L., Baoxiang, W., Jingfang, L., Zhiguang, S., Ming, C., Yungao, X., Bo, X., Bo, Y., Jian, L., Jinbo, L., Tinmu, C., Zhaowei, F., Baiguan, L., Dayong, X., & Bello, B. K. 2021. A novel SAPK10-WRKY87-ABF1 biological pathway synergistically enhances abiotic stress tolerance in transgenic rice (Oryza sativa). Plant Physiology and Biochemistry, 168: 252–262. https://doi.org/10.1016/j.plaphy.2021.10.006
Yan, S., Bhawal, R., Yin, Z., Thannhauser, T.W. and Zhang, S., 2022. Recent advances in proteomics and metabolomics in plants. Molecular Horticulture, 2(1): 17. https://doi.org/10.1186/s43897-022-00038-9
Yang, J., Lv, W., Shao, L., Fu, Y., Liu, H., Yang, C., Chen, A., Xie, X., Wang, Z., & Li, C. 2021. PacBio and Illumina RNA Sequencing Identify Alternative Splicing Events in Response to Cold Stress in Two Poplar Species. Frontiers in Plant Science, 12: 737004. https://doi.org/10.3389/fpls.2021.737004
Yang, R., Hong, Y., Ren, Z., Tang, K., Zhang, H., Zhu, J. K., & Zhao, C. 2019. A role for PICKLE in the regulation of cold and salt stress tolerance in Arabidopsis. Frontiers in Plant Science, 10: 900. https://doi.org/10.3389/fpls.2019.00900
Yang, S., Zhou, J., Li, Y., Wu, J., Ma, C., Chen, Y., Sun, X., Wu, L., Liang, X., Fu, Q., Xu, Z., Li, L., Huang, Z., Zhu, J., Jia, X., Ye, X., & Chen, R. 2023. AP2/EREBP Pathway Plays an Important Role in Chaling Wild Rice Tolerance to Cold Stress. International Journal of Molecular Sciences, 24: 14441. https://doi.org/10.3390/ijms241914441
Yang, Y., Wang, Y., Jia, L., Yan, G., Xu, X., Zhai, H., He, S., Li, J., Dai, X., Qin, N., Zhu, C., & Liu, Q. 2018. Involvement of an ABI-like protein and a Ca2+-ATPase in drought tolerance as revealed by transcript profiling of a sweet potato somatic hybrid and its parents Ipomoea batatas (L.) Lam. and I. triloba L. PLoS One, 13(2), e0193193. https://doi.org/10.1371/journal.pone.0193193
Yun, S.D., Kim, M.H., Oh, S.A., Soh, M.S., & Park, S.K. 2022. Overexpression of C-Repeat Binding Factor1 (CBF1) gene enhances heat stress tolerance in Arabidopsis. Journal of Plant Biology, 65: 253–260. https://doi.org/10.1007/s12374-022-09350-9
Zhang, H., Lang, Z., & Zhu, J. K. 2018. Dynamics and function of DNA methylation in plants. Nature reviews. Molecular cell biology. 19(8): 489–506. https://doi.org/10.1038/s41580-018-0016-z
Zhao, H., Li, Z., Wang, Y., Wang, J., Xiao, M., Liu, H., Quan, R., Zhang, H., Huang, R., Zhu, L., & Zhang, Z. 2022. Cellulose synthase-like protein OsCSLD4 plays an important role in the response of rice to salt stress by mediating abscisic acid biosynthesis to regulate osmotic stress tolerance. Plant Biotechnology Journal, 20: 468–484. https://doi.org/10.1111/pbi.13729
Zhao, J., He, Y., Li, X., Weng, X., Feng, D., Ying, J., & Wang, Z. 2020. An integrated RNA-Seq and physiological study reveals gene responses involving in the initial imbibition of seed germination in rice. Plant Growth Regulation, 90: 249–263. https://doi.org/10.1007/s10725-019-00567-2
Zhong, R., Wang, Y., Gai, R., Xi, D., Mao, C., & Ming, F. 2020. Rice SnRK protein kinase OsSAPK8 acts as a positive regulator in abiotic stress responses. Plant Science, 292: 110373. https://doi.org/10.1016/j.plantsci.2019.110373
Zhou, J., Huang, J., Tian, X.Y., Zheng, J., & He, X. 2020. Transcriptome analysis reveals dynamic changes in the salt stress response in Salix. Journal of Forestry Research, 31(5): 1851–1862. https://doi.org/10.1007/s11676-019-00941-w
Zhu, M., Meng, X., Cai, J., Li, G., Dong, T., & Li, Z. 2018. Basic leucine zipper transcription factor SlbZIP1 mediates salt and drought stress tolerance in tomato. BMC Plant Biology, 18(01): 83–97. https://doi.org/10.1186/s12870–018–1299–0
Zou, C., Tan, H., Huang, K., Zhai, R., Yang, M., Huang, A., Wei, X., Mo, R., Xiong, & F. 2024. Physiological Characteristic Changes and Transcriptome Analysis of Maize (Zea mays L.) Roots under Drought Stress. Int J Genomics, 17: 5681174. https://doi.org/10.1155/2024/5681174

فایل ها

هم رسانی

ارجاع به این مقاله

آمار