Improvement of the cDNA-AFLP method using fluorescent primers for transcription analysis in bacteria

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 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.

cDNA-amplified fragment length polymorphism to study the transcriptional responses of Lactobacillus rhamnosus growing in cheese-like medium

AIMS

Lactobacillus rhamnosus is a dominant species during Parmigiano Reggiano cheese ripening and exhibits a great adaptability to unfavourable growth conditions. Gene expression of a Lact. rhamnosus, isolated from Parmigiano Reggiano cheese, grown in a rich medium (MRS) and in a cheese-like medium (CB) has been compared by a novel cDNA-amplified fragment length polymorphism (cDNA-AFLP) protocol.

METHODS AND RESULTS

Two techniques, capillary and gel electrophoresis cDNA-AFLP, were applied to generate unique transcript tags from reverse-transcribed messenger RNA using the immobilization of biotinylated 3'-terminal cDNA fragments on streptavidin-coated Dynabeads. The use of three pairs of primers allowed detecting 64 genes expressed in MRS and 96 in CB. Different transcripts were observed when Lact. rhamnosus was cultured on CB and MRS.

CONCLUSIONS

The cDNA-AFLP approach proved to be able to show that Lact. rhamnosus modifies the expression of a large part of genes when cultivated in CB compared with growth under optimal conditions (MRS). In particular, the profiles of the strain grown in CB were more complex probably because the cells activate different metabolic pathways to generate energy and to respond to the environmental changes.

SIGNIFICANCE AND IMPACT OF STUDY

This is the first research on Lact. rhamnosus isolated from cheese and represents one of the few concerning bacterial transcriptomic analysis towards cDNA-AFLP approaches.

AFLP-based transcript profiling (cDNA-AFLP) for genome-wide expression analysis

Although DNA microarrays are currently the standard tool for genome-wide expression analysis, their application is limited to organisms for which the complete genome sequence or large collections of known transcript sequences are available. Here, we describe a protocol for cDNA-AFLP, an AFLP-based transcript profiling method that allows genome-wide expression analysis in any species without the need for prior sequence knowledge. In essence, the cDNA-AFLP method involves reverse transcription of mRNA into double-stranded cDNA, followed by restriction digestion, ligation of specific adapters and fractionation of this mixture of cDNA fragments into smaller subsets by selective PCR amplification. The resulting cDNA-AFLP fragments are separated on high-resolution gels, and visualization of cDNA-AFLP fingerprints is described using either a conventional autoradiography platform or an automated LI-COR system. Observed differences in band intensities between samples provide a good measure of the relative differences in the gene expression levels. Identification of differentially expressed genes can be accomplished by purifying cDNA-AFLP fragments from sequence gels and subsequent sequencing. This method has found widespread use as an attractive technology for gene discovery on the basis of fragment detection and for temporal quantitative gene expression analysis. The protocol can be completed in 3-4 d.