Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Rhizobium multihospitium HAMBI 2975

PROVIDER: PRJEB14987 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	FMAG01.dat.gz	Other
	FMAG01.fasta.gz	Fasta.gz
	FMAG01.master.dat	Other
	FMAG01.dat.gz	Other

Items per page:

1 - 4 of 4

Similar Datasets

Project description:Rhizobium miluonense HAMBI 2971

| PRJEB14986 | ENA

Rhizobium multihospitium strain:hambi 2975

Project description:Rhizobium multihospitium HAMBI 2975 genome sequencing

| PRJNA303275 | ENA

Rhizobium miluonense strain:hambi 2971

Project description:Rhizobium miluonense HAMBI 2971 genome sequencing

| PRJNA303276 | ENA

Rhizobium sp. CIR16B isolate:HAMBI 3400

Project description:Rhizobium sp. CIR16B isolate:HAMBI 3400 Genome sequencing

| PRJNA333940 | ENA

Transcriptome Analysis of Arabidopsis Root Development in Response to Treatment With Rhizobium sp. IRBG74

Project description:To examine how the Arabidopsis root development responds to the Rhizobium sp. IRBG74 treatment at the molecular level, we performed RNA-seq experiments. Our RNA-seq results suggest that expression of genes mainly involved in auxin signaling, cell wall and cell membrane integrity and transport is altered in response to colonization by Rhizobium sp. IRBG74.

2018-02-14 | GSE107276 | GEO

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

Medicago truncatula R108 in symbiosis with rhizobia wt or rhizobia mutant for BacA. Comparison of the transcriptomic response of Medicago truncatula plants.

Project description:12plex_medicago_2013-08 - r108 in symbiosis with rhizobia wt or rhizobia mutant for baca. - Two experiments to compare the transcriptomic response of medicago plants: Agar medium versus Phytagel medium (exp1) and rhizobium WT versus BacA (exp2). - Medicago truncatula ecotype R108 was inoculated with the symbiotic rhizobium Sinorhizobium meliloti strain Sm1021 and with its derivative mutant delta bacA. Nodules were collected 13 days after inoculation, and RNA were prepared for transcriptome analysis, there were three biological independant experiements.

2018-11-01 | GSE121775 | GEO

Transcription profiling of Rhizobium leguminosarum biovar viciae strain 3841 inoculated onto vetch seeds compared to cells grown in free-living culture on succinate ammonia AMS

Project description:Rhizobium leguminosarum biovar viciae strain 3841 was inoculated onto Viccia cracca seeds and bacteroids were harvested at 28d. Gene expression was then compared to free-living Rhizobium leguminosarum biovar viciae strain 3841 grown on succinate ammonia AMS.

2008-11-30 | E-MEXP-1924 | biostudies-arrayexpress

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