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

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...

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Main Authors: Khaled Moustafa, Joanna M. Cross
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:Biology
Subjects:
Online Access:http://www.mdpi.com/2079-7737/5/2/20
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author Khaled Moustafa
Joanna M. Cross
author_facet Khaled Moustafa
Joanna M. Cross
author_sort Khaled Moustafa
collection DOAJ
description 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.
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spelling doaj.art-2285c587f1b1474f96e8aad290862fa72023-08-02T02:48:18ZengMDPI AGBiology2079-77372016-05-01522010.3390/biology5020020biology5020020Genetic Approaches to Study Plant Responses to Environmental Stresses: An OverviewKhaled Moustafa0Joanna M. Cross1Conservatoire National des Arts et Métiers, Paris 75003, FranceFaculty of Agriculture, Inonu University, Malatya 44000, TurkeyThe 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.http://www.mdpi.com/2079-7737/5/2/20plant stress toleranceenvironmental stressplant adaptationplant stress responsegene expression profilinggene expression studyDNA arraysmicroarraysnext generation sequencingNGS
spellingShingle Khaled Moustafa
Joanna M. Cross
Genetic Approaches to Study Plant Responses to Environmental Stresses: An Overview
Biology
plant stress tolerance
environmental stress
plant adaptation
plant stress response
gene expression profiling
gene expression study
DNA arrays
microarrays
next generation sequencing
NGS
title Genetic Approaches to Study Plant Responses to Environmental Stresses: An Overview
title_full Genetic Approaches to Study Plant Responses to Environmental Stresses: An Overview
title_fullStr Genetic Approaches to Study Plant Responses to Environmental Stresses: An Overview
title_full_unstemmed Genetic Approaches to Study Plant Responses to Environmental Stresses: An Overview
title_short Genetic Approaches to Study Plant Responses to Environmental Stresses: An Overview
title_sort genetic approaches to study plant responses to environmental stresses an overview
topic plant stress tolerance
environmental stress
plant adaptation
plant stress response
gene expression profiling
gene expression study
DNA arrays
microarrays
next generation sequencing
NGS
url http://www.mdpi.com/2079-7737/5/2/20
work_keys_str_mv AT khaledmoustafa geneticapproachestostudyplantresponsestoenvironmentalstressesanoverview
AT joannamcross geneticapproachestostudyplantresponsestoenvironmentalstressesanoverview