Plant-necrotroph co-transcriptome networks illuminate a metabolic battlefield
- Kansas State University, United States
- University of Colorado, United States
- University of California, Davis, United States
Abstract
A central goal of studying host-pathogen interaction is to understand how host and pathogen manipulate each other to promote their own fitness in a pathosystem. Co-transcriptomic approaches can simultaneously analyze dual transcriptomes during infection and provide a systematic map of the cross-kingdom communication between two species. Here we used the Arabidopsis-B. cinerea pathosystem to test how plant host and fungal pathogen interact at the transcriptomic level. We assessed the impact of genetic diversity in pathogen and host by utilization of a collection of 96 isolates infection on Arabidopsis wild-type and two mutants with jasmonate or salicylic acid compromised immunities. We identified ten B. cinerea gene co-expression networks (GCNs) that encode known or novel virulence mechanisms. Construction of a dual interaction network by combining four host- and ten pathogen-GCNs revealed potential connections between the fungal and plant GCNs. These co-transcriptome data shed lights on the potential mechanisms underlying host-pathogen interaction.
Article and author information
Author details
Daniel Harrison Copeland
Daniel J Kliebenstein
Funding
National Science Foundation (IOS 1339125)
- Daniel J Kliebenstein
U.S. Department of Agriculture (Hatch project number CA-D-PLS-7033-H)
- Daniel J Kliebenstein
Danish National Research Foundation (DNRF99)
- Daniel J Kliebenstein
China Scholarship Council (20130624)
- Wei Zhang
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2019, Zhang et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Plant-necrotroph co-transcriptome networks illuminate a metabolic battlefield
eLife 8:e44279.
https://doi.org/10.7554/eLife.44279
