نوع مقاله : مروری
نویسندگان
1 گروه تولید و ژنتیک گیاهی دانشکده کشاورزی دانشگاه ارومیه، ارومیه، ایران
2 گروه ژنتیک و به‌نژادی گیاهی، دانشکده کشاورزی، دانشگاه تربیت مدرس، تهران، ایران
3 گروه تولید و ژنتیک گیاهی دانشکده کشاورزی دانشگاه ارومیه. ارومیه، ایران.
4 انستیتو علوم اعصاب تولوز، فرانسه.
5 گروه مهندسی تولید و ژنتیک گیاهی دانشکده کشاورزی دانشگاه مراغه، مراغه، ایران
6 گروه بیوتکنولوژی کشاورزی دانشکده کشاورزی دانشگاه تربیت مدرس. تهران، ایران.
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Abstract
Introduction: Abiotic stresses are recognized as the primary limiting factors for productivity in agriculture. In the current era of continuous climate changes, the understanding of the molecular aspects involved in abiotic stress response in plants is a priority.The emergence of -omics approaches provides key strategies to promote effective research in the field, facilitating the investigations from reference models to an increasing number of species, tolerant and sensitive genotypes. Integrated multilevel approaches, based on molecular investigations at genomics, transcriptomics, proteomics and metabolomics levels, are now feasible, expanding the opportunities to clarify key molecular mechanisms involved in responses to abiotic stresses. To this aim, bioinformatics has become fundamental for data production, mining and integration, and necessary for extracting valuable information and for comparative efforts, paving the way to the modeling of the involved processes. Materials and methods: This article is a review that utilizes content analysis methodology. The research involved a systematic search across reputable scientific databases such as PubMed, Web of Science, Google Scholar, and Scopus.
Results: The focus of the study is on the role of omics technologies and bioinformatics in enhancing plant tolerance to abiotic stresses. Initially, it provides an overview of the main technologies for generating large-scale molecular data and public bioinformatics resources. Subsequently, bioinformatics databases related to abiotic stresses were explored. Additionally, it provides a detailed analysis of findings from bioinformatics studies that have identified key genes and metabolic pathways linked to abiotic stress tolerance.
Conclusion: Bioinformatics tools provide researchers with access to genomic, transcriptomic, and proteomic data, allowing them to combine bioinformatics findings with experimental data. These processes facilitate more accurate modeling of the involved mechanisms, and the results of bioinformatics studies can lead to the identification of genes and metabolic pathways that are effective in conferring tolerance to abiotic stresses. Ultimately, these integrated approaches support the development of targeted breeding strategies aimed at producing stress-resistant plants, thereby improving agricultural productivity.
Abstract
Introduction: Abiotic stresses are recognized as the primary limiting factors for productivity in agriculture. In the current era of continuous climate changes, the understanding of the molecular aspects involved in abiotic stress response in plants is a priority.The emergence of -omics approaches provides key strategies to promote effective research in the field, facilitating the investigations from reference models to an increasing number of species, tolerant and sensitive genotypes. Integrated multilevel approaches, based on molecular investigations at genomics, transcriptomics, proteomics and metabolomics levels, are now feasible, expanding the opportunities to clarify key molecular mechanisms involved in responses to abiotic stresses. To this aim, bioinformatics has become fundamental for data production, mining and integration, and necessary for extracting valuable information and for comparative efforts, paving the way to the modeling of the involved processes. Materials and methods: This article is a review that utilizes content analysis methodology. The research involved a systematic search across reputable scientific databases such as PubMed, Web of Science, Google Scholar, and Scopus.
Results: The focus of the study is on the role of omics technologies and bioinformatics in enhancing plant tolerance to abiotic stresses. Initially, it provides an overview of the main technologies for generating large-scale molecular data and public bioinformatics resources. Subsequently, bioinformatics databases related to abiotic stresses were explored. Additionally, it provides a detailed analysis of findings from bioinformatics studies that have identified key genes and metabolic pathways linked to abiotic stress tolerance.
Conclusion: Bioinformatics tools provide researchers with access to genomic, transcriptomic, and proteomic data, allowing them to combine bioinformatics findings with experimental data. These processes facilitate more accurate modeling of the involved mechanisms, and the results of bioinformatics studies can lead to the identification of genes and metabolic pathways that are effective in conferring tolerance to abiotic stresses. Ultimately, these integrated approaches support the development of targeted breeding strategies aimed at producing stress-resistant plants, thereby improving agricultural productivity.
کلیدواژه‌ها [English]
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