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Browse MedicagoPLEX Experiment Data

Choose an experiment:
plant genotype x rhizobium genotype interaction
Katy D Heath, University of Illinois, Department of Plant Biology, Urbana, Illinois (kheath@life.illinois.edu)
Experiment design (12 hybridizations)
genotype
•Naut1 •Sals4
pathogen strains
•SalsB •SalsC

This experiment has been imported by PLEXdb from NCBI GEO (GSE29027)

Series_summary:
Coevolutionary change requires reciprocal select...[complete overview]

Experiment     Expression     Hybridizations & Samples     Quality Control     Compare Treatments     Downloads    

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Experiment Name: plant genotype x rhizobium genotype interaction
Accession No: ME26
Microarray: Medicago61k
Visibility: public
Experiment Type:
Experiment Factor(s):
genotype
•Naut1   •Sals4
pathogen strains
•SalsB   •SalsC
Quality Control: biological replicates
Treatment summary:
 genotype  pathogen strains  # replicates
 Naut1  SalsB  3
 Naut1  SalsC  3
 Sals4  SalsB  3
 Sals4  SalsC  3
Total hybridizations: 12
Description: This experiment has been imported by PLEXdb from NCBI GEO (GSE29027)

Series_summary:
Coevolutionary change requires reciprocal selection between interacting species, i.e., that the partner genotypes that are favored in one species depend on the genetic composition of the interacting species. Coevolutionary genetic variation is manifested as genotype ´ genotype (G ´ G) interactions for fitness from interspecific interactions. Although quantitative genetic approaches have revealed abundant evidence for G ´ G interactions in symbioses, the molecular basis of this variation remains unclear. Here we study the molecular basis of G ´ G interactions in a model legume-rhizobium mutualism using gene expression microarrays. We find that, like quantitative traits such as fitness, variation in the symbiotic transcriptome may be partitioned into additive and interactive genetic components. Our results suggest that plant genetic variation is the largest influence on nodule gene expression, and that plant genotype and the plant genotype ´ rhizobium genotype interaction determine global shifts in rhizobium gene expression that in turn feedback to influence plant fitness benefits. Moreover, the transcriptomic variation we uncover implicates regulatory changes in both species as drivers of symbiotic gene expression variation. Our study is the first to partition genetic variation in a symbiotic transcriptome, and illuminates potential molecular routes of coevolutionary change.
We assayed gene expression using three biological replicates for each plant genotype × rhizobium genotype combination (4 combinations) for a total of 12 chips.

Series_overall_design:
We compared gene expression in each of four combinations of Medicago truncatula families and Sinorhizobium meliloti strains using Affymetrix Medicago GeneChips to study how the entire transcriptome and individual genes responded to differences between plant families, between rhizobium strains, and due to the plant family × rhizobium strain (G × G) interaction.
Publication: none
Created: 2012-07-03 11:24:38
Last Update: 2012-07-10 11:45:15
Released: 2012-07-10
GEO Accession GSE29027
Submitter: PLEXdb Curator
Name: Katy D Heath
Institution: University of Illinois, Department of Plant Biology, Urbana, Illinois
Head of Laboratory: Katy D Heath
email(s):
Homepage:

 
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