cDNA-AFLP analysis for transcript profiling has been successfully applied to study many plant biological systems, particularly plant-microbe interactions. However, the separation of cDNA-AFLP fragments by gel electrophoresis is reported to be labor-intensive with only limited potential for automation, and the collection of differential bands for gene identification is even more cumbersome. In this work, we present the use of dHPLC (denaturing high performance liquid chromatography) and automated DNA fragment collection using the WAVE(®) System to analyze and recover cDNA-AFLP fragments. The method is successfully applied to the Malus-Venturia inaequalis interaction, making it possible to collect 66 different transcript-derived fragments for apple genes putatively involved in the defense response activated by the HcrVf2 resistance gene. The results, validated by real time quantitative RT-PCR, were consistent with the plant-pathogen interaction under investigation and this further supports the suitability of dHPLC for cDNA-AFLP transcript profiling. Features and advantages of this new approach are discussed, evincing that it is an almost fully automatable and cost-effective solution for processing large numbers of samples and collecting differential genes involved in other biological processes and non-model plants.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.