Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Rhizobium lemnae

ABSTRACT: Rhizobium lemnae overview

PROVIDER: PRJNA836995 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	SRR19167502_1.fastq.gz	Fastqsanger.gz
	SRR19167502_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 3 of 3

Similar Datasets

Rhizobium lemnae strain:TBRC_L6-16

Project description:Rhizobium lemnae strain:TBRC_L6-16 Genome sequencing and assembly

| PRJNA823391 | ENA

Rhizobium lemnae strain:L6-16T

Project description:Rhizobium lemnae sp. nov., a bacterial endophyte of Lemna aequinoctialis

| PRJNA836740 | ENA

Catenula lemnae

Project description:Catenula lemnae Transcriptome or Gene expression

| PRJNA274961 | ENA

mRNA sequencing of epidermal growth factor (EGF) treatment in 96, 108 and 120 hours of Stylonychia lemnae.

Project description:The goals of this study to find the differential expressed genes in epidermal growth factor (EGF) treated Stylonychia lemnae cells.

2016-09-11 | GSE72928 | GEO

Stylonychia lemnae 2x8/2

Project description:Stylonychia lemnae 2x8/2 genome sequencing project.

| PRJNA47415 | 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

Stylonychia lemnae

Project description:mRNA sequencing of epidermal growth factor (EGF) treatment in 96, 108 and 120 hours of Stylonychia lemnae.

| PRJNA295361 | ENA

Rhizobium binae

Project description:Rhizobium binae overview

| PRJNA911891 | ENA

Rhizobium sophorae

Project description:Rhizobium sophorae overview

| PRJNA598263 | ENA

Rhizobium indigoferae

Project description:Rhizobium indigoferae overview