scholarly journals Genome-Wide Characterization of ISR Induced in Arabidopsis thaliana by Trichoderma hamatum T382 Against Botrytis cinerea Infection

2012 ◽  
Vol 3 ◽  
Author(s):  
Janick Mathys ◽  
Kaat De Cremer ◽  
Pieter Timmermans ◽  
Stefan Van Kerckhove ◽  
Bart Lievens ◽  
...  
Genetics ◽  
2020 ◽  
Vol 215 (1) ◽  
pp. 253-266 ◽  
Author(s):  
Nicole E. Soltis ◽  
Celine Caseys ◽  
Wei Zhang ◽  
Jason A. Corwin ◽  
Susanna Atwell ◽  
...  

In plant–pathogen relations, disease symptoms arise from the interaction of the host and pathogen genomes. Host–pathogen functional gene interactions are well described, whereas little is known about how the pathogen genetic variation modulates both organisms’ transcriptomes. To model and generate hypotheses on a generalist pathogen control of gene expression regulation, we used the Arabidopsis thaliana–Botrytis cinerea pathosystem and the genetic diversity of a collection of 96 B. cinerea isolates. We performed expression-based genome-wide association (eGWA) for each of 23,947 measurable transcripts in Arabidopsis (host), and 9267 measurable transcripts in B. cinerea (pathogen). Unlike other eGWA studies, we detected a relative absence of locally acting expression quantitative trait loci (cis-eQTL), partly caused by structural variants and allelic heterogeneity hindering their identification. This study identified several distantly acting trans-eQTL linked to eQTL hotspots dispersed across Botrytis genome that altered only Botrytis transcripts, only Arabidopsis transcripts, or transcripts from both species. Gene membership in the trans-eQTL hotspots suggests links between gene expression regulation and both known and novel virulence mechanisms in this pathosystem. Genes annotated to these hotspots provide potential targets for blocking manipulation of the host response by this ubiquitous generalist necrotrophic pathogen.


BMC Genomics ◽  
2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Xiaohui Wu ◽  
Yong Zeng ◽  
Jinting Guan ◽  
Guoli Ji ◽  
Rongting Huang ◽  
...  

2017 ◽  
Vol 92 (6) ◽  
pp. 1218-1231 ◽  
Author(s):  
Dries Vaneechoutte ◽  
April R. Estrada ◽  
Ying‐Chen Lin ◽  
Ann E. Loraine ◽  
Klaas Vandepoele

2019 ◽  
Author(s):  
Nicole E. Soltis ◽  
Wei Zhang ◽  
Jason A. Corwin ◽  
Susanna Atwell ◽  
Daniel J. Kliebenstein

ABSTRACTDisease symptoms arise from the interaction of the host and pathogen genomes. However, little is known about how genetic variation in the interaction modulates both organisms’ transcriptomes, especially in complex interactions like those between generalist pathogens and their plant hosts. To begin mapping how polygenic pathogen variation influences both organisms’ transcriptomes, we used the Botrytis cinerea - Arabidopsis thaliana pathosystem. We measured the co-transcriptome across a genetically diverse collection of 96 B. cinerea isolates infected on the Arabidopsis wildtype, Col-0. Using the B. cinerea genomic variation, we performed genome-wide association (GWA) for each of 23,947 measurable transcripts in the host, and 9,267 measurable transcripts in the pathogen. Unlike other eGWA studies, there was a relative absence of cis-eQTL that is likely explained by structural variants and allelic heterogeneity within the pathogen’s genome. This analysis identified mostly trans-eQTL in the pathogen with eQTL hotspots dispersed across the pathogen genome that altered the pathogen’s transcripts, the host’s transcripts, or both the pathogen and the host. Gene membership in the trans-eQTL hotspots suggests links to several known and many novel virulence mechanisms in the plant-pathogen interaction. Genes annotated to these hotspots provide potential targets for blocking manipulation of the host response by this ubiquitous generalist pathogen. This shows that genetic control over the co-transcriptome is polygenic, similar to the virulence outcome in the interaction of Botrytis cinerea on Arabidopsis thaliana.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Yunhe Wang ◽  
Zhen Tao ◽  
Wanyi Wang ◽  
Daniele Filiault ◽  
Chunhong Qiu ◽  
...  

AbstractThe identification and functional characterization of natural variants in plants are essential for understanding phenotypic adaptation. Here we identify a molecular variation in At2g47310 that contributes to the natural variation in flowering time in Arabidopsis thaliana accessions. This gene, which we term SISTER of FCA (SSF), functions in an antagonistic manner to its close homolog FCA. Genome-wide association analysis screens two major haplotypes of SSF associated with the natural variation in FLC expression, and a single polymorphism, SSF-N414D, is identified as a main contributor. The SSF414N protein variant interacts more strongly with CUL1, a component of the E3 ubiquitination complex, than the SSF414D form, mediating differences in SSF protein degradation and FLC expression. FCA and SSF appear to have arisen through gene duplication after dicot-monocot divergence, with the SSF-N414D polymorphism emerging relatively recently within A. thaliana. This work provides a good example for deciphering the functional importance of natural polymorphisms in different organisms.


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