Next Article in Journal
Cognition, Information Fields and Hologenomic Entanglement: Evolution in Light and Shadow
Previous Article in Journal
The Cell as the First Niche Construction
Article Menu

Export Article

Open AccessReview
Biology 2016, 5(2), 20; doi:10.3390/biology5020020

Genetic Approaches to Study Plant Responses to Environmental Stresses: An Overview

1
Conservatoire National des Arts et Métiers, Paris 75003, France
2
Faculty of Agriculture, Inonu University, Malatya 44000, Turkey
*
Author to whom correspondence should be addressed.
Academic Editor: Jukka Finne
Received: 15 February 2016 / Revised: 2 May 2016 / Accepted: 10 May 2016 / Published: 17 May 2016
View Full-Text   |   Download PDF [1245 KB, uploaded 17 May 2016]   |  

Abstract

The 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. View Full-Text
Keywords: plant stress tolerance; environmental stress; plant adaptation; plant stress response; gene expression profiling; gene expression study; DNA arrays; microarrays; next generation sequencing; NGS plant stress tolerance; environmental stress; plant adaptation; plant stress response; gene expression profiling; gene expression study; DNA arrays; microarrays; next generation sequencing; NGS
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Moustafa, K.; Cross, J.M. Genetic Approaches to Study Plant Responses to Environmental Stresses: An Overview. Biology 2016, 5, 20.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Biology EISSN 2079-7737 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top