Ding, Pingtao, Ngou, Bruno Pok Man, Furzer, Oliver J., Sakai, Toshiyuki, Shrestha, Ram Krishna, MacLean, Dan and Jones, Jonathan D. G. (2020) High-resolution expression profiling of selected gene sets during plant immune activation. Plant Biotechnology Journal, 18 (7). pp. 1610-1619. ISSN 1467-7644
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Abstract
The plant immune system involves detection of pathogens via both cell-surface and intracellular receptors. Both receptor classes can induce transcriptional reprogramming that elevates disease resistance. To assess differential gene expression during plant immunity, we developed and deployed quantitative sequence capture (CAP-I). We designed and synthesized biotinylated single-strand RNA bait libraries targeted to a subset of defense genes, and generated sequence capture data from 99 RNA-seq libraries. We built a data processing pipeline to quantify the RNA-CAP-I-seq data, and visualize differential gene expression. Sequence capture in combination with quantitative RNA-seq enabled cost-effective assessment of the expression profile of a specified subset of genes. Quantitative sequence capture is not limited to RNA-seq or any specific organism and can potentially be incorporated into automated platforms for high-throughput sequencing.
Item Type: | Article |
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Uncontrolled Keywords: | arabidopsis,biosynthesis,defense responses,disease resistance,essential component,isochorismate,nlr,read alignment,repression,salicylic-acid,systemic acquired-resistance,data visualization,high-resolution expression profiling,plant immunity,quantitative rna-seq,sequence capture,transcriptional regulation |
Faculty \ School: | Faculty of Science > The Sainsbury Laboratory Faculty of Science > School of Biological Sciences |
UEA Research Groups: | Faculty of Science > Research Groups > Plant Sciences |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 01 Feb 2020 04:25 |
Last Modified: | 18 Oct 2024 23:52 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/73946 |
DOI: | 10.1111/pbi.13327 |
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