Genetic approaches to study plant responses to environmental stresses: An overview

Basit Öğe Kaydı
dc.authorscopusid7004053997
dc.authorscopusid56966146600
dc.contributor.authorMoustafa K.
dc.contributor.authorCross J.M.
dc.date.accessioned2024-08-04T20:03:31Z
dc.date.available2024-08-04T20:03:31Z
dc.date.issued2016
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThe assessment of gene expression levels is an important step toward elucidating gene functions temporally and spatially. Decades ago, typical studies were focusing on a few genes individually, whereas now researchers are able to examine whole genomes at once. The upgrade of throughput levels aided the introduction of systems biology approaches whereby cell functional networks can be scrutinized in their entireties to unravel potential functional interacting components. The birth of systems biology goes hand-in-hand with huge technological advancements and enables a fairly rapid detection of all transcripts in studied biological samples. Even so, earlier technologies that were restricted to probing single genes or a subset of genes still have their place in research laboratories. The objective here is to highlight key approaches used in gene expression analysis in plant responses to environmental stresses, or, more generally, any other condition of interest. Northern blots, RNase protection assays, and qPCR are described for their targeted detection of one or a few transcripts at a once. Differential display and serial analysis of gene expression represent non-targeted methods to evaluate expression changes of a significant number of gene transcripts. Finally, microarrays and RNA-seq (next-generation sequencing) contribute to the ultimate goal of identifying and quantifying all transcripts in a cell under conditions or stages of study. Recent examples of applications as well as principles, advantages, and drawbacks of each method are contrasted. We also suggest replacing the term “Next-Generation Sequencing (NGS)” with another less confusing synonym such as “RNA-seq”, “high throughput sequencing”, or “massively parallel sequencing” to avoid confusion with any future sequencing technologies. © 2016 by the authors; licensee MDPI, Basel, Switzerland.en_US
dc.identifier.doi10.3390/biology5020020
dc.identifier.issn2079-7737
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-84974589247en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.3390/biology5020020
dc.identifier.urihttps://hdl.handle.net/11616/91883
dc.identifier.volume5en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.relation.ispartofBiologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDNA arraysen_US
dc.subjectEnvironmental stressen_US
dc.subjectGene expression profilingen_US
dc.subjectGene expression studyen_US
dc.subjectMicroarraysen_US
dc.subjectNext generation sequencingen_US
dc.subjectNGSen_US
dc.subjectPlant adaptationen_US
dc.subjectPlant stress responseen_US
dc.subjectPlant stress toleranceen_US
dc.titleGenetic approaches to study plant responses to environmental stresses: An overviewen_US
dc.typeReview Articleen_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu