Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Rhizobium binae

ABSTRACT: Rhizobium binae Genome sequencing and assembly

PROVIDER: PRJNA627791 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	JABDXJ01.dat.gz	Other
	JABDXJ01.fasta.gz	Fasta.gz
	JABDXJ01.master.dat	Other
	JABDXK01.dat.gz	Other

Items per page:

1 - 5 of 16

Similar Datasets

Rhizobium binae

Project description:Rhizobium binae overview

| PRJNA911891 | ENA

Rhizobium binae strain:DSM 29288 | isolate:DSM 29288

Project description:Rhizobium binae DSM 29288 genome sequencing

| PRJNA1115562 | ENA

Rhizobium binae strain:YTUBH007 | isolate:root nodule

Project description:Rhizobium binae YTUBH007 isolate:root nodule Genome sequencing

| PRJNA856439 | ENA

Dissecting transcriptomic signatures of genotype x genotype interactions during the initiation of plant-rhizobium symbiosis

Project description:The genome X genome interactions between rhizobium and plant in the early interaction phase was evaluated using RNA-sequencing

2020-06-04 | GSE151705 | GEO

Rhizobium

Project description:Rhizobium Genome sequencing and assembly

| PRJNA411882 | ENA

Rhizobium

Project description:Rhizobium Genome sequencing and assembly

| PRJNA321136 | ENA

Rhizobium

Project description:Rhizobium Genome sequencing and assembly

| PRJNA627854 | ENA

Rhizobium

Project description:Rhizobium Genome sequencing and assembly

| PRJNA506116 | 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

Rhizobium leguminosarum

Project description:Rhizobium leguminosarum Genome sequencing and assembly

| PRJNA510726 | ENA