Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression response of Medicago truncatula roots treated with symbiotic lipochitooligosaccharides (LCOs)

ABSTRACT: Legumes interact with soil microbes, leading to the development of nitrogen-fixing root nodules and arbuscular mycorrhizal (AM) roots. While nodule initiation by diffusible lipochitooligosaccharide (LCO) Nod-factors of bacterial origin (Nod-LCOs) is well characterized, diffusible AM fungal signals were only recently identified as sulphated and non-sulphated LCOs (sMyc-LCOs and nsMyc-LCOs). Applying Myc-LCOs in parallel to Nod-LCOs, we used GeneChips to detail the global programme of gene expression in response to the external application of symbiotic LCOs.

ORGANISM(S): Medicago sativa Sinorhizobium meliloti Medicago truncatula

PROVIDER: GSE33636 | GEO | 2012/05/31

SECONDARY ACCESSION(S): PRJNA154317

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Gene expression data from Medicago truncatula plantlet roots treated with symbiotic lipochitooligosaccharides (LCOs).

Project description:Legumes interact with soil microbes, leading to the development of nitrogen-fixing root nodules and arbuscular mycorrhizal (AM) roots. While nodule initiation by diffusible lipochitooligosaccharide (LCO) Nod-factors of bacterial origin (Nod-LCOs) is well characterized, diffusible AM fungal signals were only recently identified as sulphated and non-sulphated LCOs (sMyc-LCOs and nsMyc-LCOs). Applying Myc-LCOs in parallel to Nod-LCOs, we used GeneChips to detail the global programme of gene expression in response to the external application of symbiotic LCOs. To harvest tissues for transcriptome profiling, three biological replicates consisting of 20 plantlets per treatment were selected. After 6 h of incubation in the climate chamber, 10 plantlets per batch were removed from the treatment (Myc-LCOs or Nod-LCOs) or control solutions and harvested, while the other 10 remained in the respective solutions for a total of 24 h. During harvest, one mm of the root tip of each plantlet was removed and discarded. The remaining 2 to 2.5 cm of the distal root region were cut off and directly frozen in liquid nitrogen.

2012-05-30 | E-GEOD-33636 | biostudies-arrayexpress

Nutrient regulation of lipochitooligosaccharide recognition in plants via NSP1 and NSP2

Project description:Many plants associate with arbuscular mycorrhizal fungi for nutrient acquisition, while legumes also associate with nitrogen-fixing rhizobial bacteria. Both associations rely on symbiosis signaling and here we show that cereals can perceive lipochitooligosaccharides (LCOs) for activation of symbiosis signaling, surprisingly including Nod factors produced by nitrogen-fixing bacteria. However, legumes show stringent perception of specifically decorated LCOs, that is absent in cereals. LCO perception in plants is activated by nutrient starvation, through transcriptional regulation of Nodulation Signaling Pathway (NSP)1 and NSP2. These transcription factors induce expression of an LCO receptor and act through the control of strigolactone biosynthesis and the karrikin-like receptor DWARF14-LIKE. We conclude that LCO production and perception is coordinately regulated by nutrient starvation to promote engagement with mycorrhizal fungi. Our work has implications for the use of both mycorrhizal and rhizobial associations for sustainable productivity in cereals.

2022-10-06 | GSE214698 | GEO

Gene expression response in roots of Medicago truncatula mutants treated with Myc LCOs

2012-05-31 | GSE33637 | GEO

Gene expression response in roots of Medicago truncatula mutants treated with Myc-LCOs

2015-11-12 | GSE67166 | GEO

Gene expression response of Medicago truncatula roots treated with Nod-LCOs

Project description:Legumes interact with rhizobia, leading to the development of root nodules. Diffusible rhizobial signals were identified as Nod-LCOs. Applying Nod-LCOs on plantlet roots, we used GeneChips to detail the global programme of gene expression in response to the external application of Nod-LCOs.

2015-11-12 | GSE67165 | GEO

Gene expression data from Medicago truncatula mutant plantlet roots treated with Myc-LCOs.

Project description:Legumes interact with soil fungi, leading to the development of arbuscular mycorrhizal (AM) roots. Diffusible AM fungal signals were identified as sulphated and non-sulphated LCOs (sMyc-LCOs and nsMyc-LCOs). Applying Myc-LCOs on roots of symbiotic mutants, we used GeneChips to detail the global programme of gene expression in these mutants in response to the external application of Myc-LCOs. To harvest tissues for transcriptome profiling, three biological replicates consisting of 10 plantlets per treatment were selected. After 6 h of incubation in the climate chamber, 10 plantlets per batch were removed from the treatment (Myc-LCOs) or control solutions and harvested. During harvest, one mm of the root tip of each plantlet was removed and discarded. The remaining 2 to 2.5 cm of the distal root region were cut off and directly frozen in liquid nitrogen.

2012-05-30 | E-GEOD-33637 | biostudies-arrayexpress

Alterations in soybean gene expression profile after foliar application of lipo-chitooligosaccharide (LCO) from Bradyrhizobium japonicum under sub-optimal temperature

Project description:Lipo-chitooligosaccharides (LCOs) produced by N2-fixing rhizobacteria initiate host nodule formation. Foliar application of LCOs has been shown to induce stress-related genes under optimal growth conditions. To study the effects of LCO foliar spray under stressed conditions, soybean seedlings grown at optimal temperature were exposed to sub-optimal temperature. After a 5-day acclimation period, the first trifoliolate leaves were sprayed with 10-7 M LCO (NodBj-V (C18:1, MeFuc)) produced by Bradyrhizobium japonicum, and harvested at 0 and 48 h following treatment. Microarray analysis was performed using Affymetrix GeneChip® Soybean Genome Arrays. A total of 147 genes were differentially expressed 48 h after LCO treatment, including a number of stress-related genes and transcription factors. In addition, during the 48 h following treatment, hundreds of genes were differentially expressed in LCO-treated plants, indicating that the dynamic soybean foliar transcriptome was highly responsive to LCO treatment. The microarray data was supported by quantitative real-time PCR data.

2010-03-20 | GSE20972 | GEO

Alterations in soybean gene expression profile after foliar application of lipo-chitooligosaccharide (LCO) from Bradyrhizobium japonicum under sub-optimal temperature

Project description:Lipo-chitooligosaccharides (LCOs) produced by N2-fixing rhizobacteria initiate host nodule formation. Foliar application of LCOs has been shown to induce stress-related genes under optimal growth conditions. To study the effects of LCO foliar spray under stressed conditions, soybean seedlings grown at optimal temperature were exposed to sub-optimal temperature. After a 5-day acclimation period, the first trifoliolate leaves were sprayed with 10-7 M LCO (NodBj-V (C18:1, MeFuc)) produced by Bradyrhizobium japonicum, and harvested at 0 and 48 h following treatment. Microarray analysis was performed using Affymetrix GeneChipÂ® Soybean Genome Arrays. A total of 147 genes were differentially expressed 48 h after LCO treatment, including a number of stress-related genes and transcription factors. In addition, during the 48 h following treatment, hundreds of genes were differentially expressed in LCO-treated plants, indicating that the dynamic soybean foliar transcriptome was highly responsive to LCO treatment. The microarray data was supported by quantitative real-time PCR data. Soybean seedlings grown at optimal temperature (25 Â°C) were exposed to sub-optimal temperature (15 Â°C). After a 5-day acclimation period, the first trifoliolate leaves were sprayed with 10-7 M LCO (NodBj-V (C18:1, MeFuc)) produced by Bradyrhizobium japonicum, and harvested at 0 and 48 h following treatment. Total RNA was extracted and microarray analysis was performed using Affymetrix GeneChipÂ® Soybean Genome Arrays.

2010-03-20 | E-GEOD-20972 | biostudies-arrayexpress

rice transcriptome project

Project description:Thus, our observations suggested an intriguing possibility that OsCERK1 functions as the receptor of the mycorrhizal signal Myc-LCOs, although the function of Myc-LCOs has been examined only in dicotyledonous plants. To test this hypothesis, we evaluated Myc-LCO responses in rice by transcriptome analysis using next-generation sequencing.

2015-02-26 | E-MTAB-4050 | biostudies-arrayexpress

Medicago truncatula Transcriptome or Gene expression

Project description:Our global transcriptomic approach to study Myc-LCO signalling in M. truncatula used an experimental design of three genotypes â A17 (WT), dmi3 and nsp1 â and three treatments â sulphated Myc-LCOs (S Myc-LCOs), nonsulphated Myc-LCOs (NS Myc-LCOs), and solvent controls (acetonitrile, ACN). We pooled two early treatment time points (2 + 4 h) based on preliminary data and reports of transcriptional changes occurring within hours of Myc-LCO treatment. Three biological replicates were sequenced per condition. We used M. truncatula dmi3 and nsp1 mutants, described originally as NodâMycâ and NodâMyc+, respectively, and the two major types of Myc-LCOs (sulphated and nonsulphated) to determine overlaps and specificities of Myc-LCO responses. Myc-LCOs were used at 10â6 M because they are biologically active at about a 100-fold higher concentration than Nod factors, which have been used at 10â7, 10â8 M in transcriptomic studies.

2014-06-24 | E-MTAB-5182 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data