Location: Plant, Soil and Nutrition Research
Project Number: 8062-21000-037-05-A
Project Type: Cooperative Agreement
Start Date: Oct 1, 2010
End Date: Apr 30, 2014
The objective of this project is to develop transcriptome gene expression data for apple at early stages of postharvest fruit disorder development. Fruit will be provided by our collaborators at the USDA in Washington State following postharvest storage treatments that promote certain fruit development disorders that have severe negative impacts on the US apple industry. The BTI cooperator will facilitate creation of cDNA libraries from said apple tissues and secure Cornell University DNA sequencing services to generate transcript sequence data. Cooperator will then perform bioinformatics analysis and quality control to secure the most accurate gene expression data. Genes that are tightly associated with particular fruit disorders will be validated by quantitative RT-PCR. Validated genes will be passed back to our Washington State colleagues to facilitate their development of diagnostic molecular screens designed to inform practical storage and marketing decisions. Said genes will also be referred back to the USDA lab for functional analyses related to apple fruit biology.
The general approach of this project includes extraction of apple fruit RNA, reverse transcription to cDNA, addition of sample-specific DNA “barcode” sequences, primer adapter ligation to facilitate DNA sequencing and Illumina-based pyro-sequencing of multiplexed samples to generate large numbers of transcript reads from each tissue. Resulting transcript-related cDNA sequence data (approximately 2-4 million reads/sample) will be sorted bioinformatically by barcode sequences to allow assignment to originating tissue samples, assessed for quality and normalized against all other samples to facilitate gene expression assessment based on relative numbers of transcripts per gene. Gene identify will then be assigned based on mapping of all sequence reads to the publically available apple genome sequence. The collaborator’s group is expert in bioinformatic analysis of transcriptome data and in the creation of gene expression and other bioinformatics tools. The ARS lab does not have strong competence in these areas. Genes associated with certain fruit quality traits will be subject to gene-specific primer design for quantitative RT-PCR gene expression analysis to confirm sequence-based expression data. Genes highly correlated with apple fruit disorders will be forwarded to the lab of our ARS collaborators in Washington State for development of marker systems diagnostic for predicting fruit disorders during postharvest storage. They will also be delivered back to our ARS lab that has expertise on comparative genomcis and functional analysis of fruit development, quality and ripening genes.