Titolo | Bioinformatics resources for plant abiotic stress responses: State of the art and opportunities in the fast evolving-omics era |
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Tipo di pubblicazione | Articolo su Rivista peer-reviewed |
Anno di Pubblicazione | 2020 |
Autori | Ambrosino, L., Colantuono C., Diretto Gianfranco, Fiore Alessia, and Chiusano M. L. |
Rivista | PLANTS |
Volume | 9 |
ISSN | 22237747 |
Parole chiave | Data integration, Genomics, metabolomics, Proteomics, stress, Transcriptomics |
Abstract | Abiotic stresses are among the principal 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 rise 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 aspects 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. We provide here an overview of bioinformatics resources for research on plant abiotic stresses, describing collections from-omics efforts in the field, ranging from raw data to complete databases or platforms, highlighting opportunities and still open challenges in abiotic stress research based on-omics technologies. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. |
Note | cited By 3 |
URL | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084557646&doi=10.3390%2fplants9050591&partnerID=40&md5=10dda4230a8b0c7dda04662acb199aa0 |
DOI | 10.3390/plants9050591 |
Citation Key | 20.500.12079_58127.2 |