Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Rhizobium anhuiense

ABSTRACT: Rhizobium anhuiense overview

PROVIDER: PRJNA356473 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	LWMO01.dat.gz	Other
	LWMO01.fasta.gz	Fasta.gz
	LWMO01.master.dat	Other
	RIBW01.dat.gz	Other

Items per page:

1 - 5 of 10

Similar Datasets

Rhizobium anhuiense strain:T24

Project description:Rhizobium anhuiense strain:T24 Genome sequencing

| PRJNA848223 | ENA

Rhizobium anhuiense strain:CCBAU 23252

Project description:Rhizobium anhuiense strain:CCBAU 23252 Genome sequencing and assembly

| PRJNA503677 | ENA

Rhizobium anhuiense strain:CCBAU 23252

Project description:Rhizobium anhuiense strain:CCBAU 23252 Genome sequencing and assembly

| PRJNA355902 | ENA

Rhizobium anhuiense

Project description:Representative isolates of Rhizobium anhuiense sp. nov., isolated from effective nodules of Vicia faba and Pisum sativum grown in Southern China

| PRJEB8063 | ENA

Flavobacterium anhuiense

Project description:Flavobacterium anhuiense overview

| PRJNA299522 | ENA

Rhizobium anhuiense bv. trifolii strain:WYCCWR10015

Project description:Rhizobium anhuiense bv. trifolii strain:WYCCWR10015 Genome sequencing and assembly

| PRJNA302831 | ENA

plant genotype x rhizobium genotype interaction

Project description: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.

2012-05-01 | GSE29027 | GEO

Flavobacterium anhuiense strain:M168

Project description:Flavobacterium anhuiense strain:M168 Genome sequencing

| PRJNA408221 | ENA

Flavobacterium anhuiense strain:T4

Project description:Flavobacterium anhuiense strain:T4 Genome sequencing

| PRJNA776699 | ENA

Flavobacterium anhuiense strain:GSE09

Project description:Flavobacterium anhuiense strain:GSE09 Genome sequencing

| PRJNA329021 | ENA