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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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CK dependent Rhizobium LCO induced signalling in Medicago truncatula

ABSTRACT: RNAseq analysis of Medicago truncatula WT and Mtcre1 3h post rhizobium LCO application 4 sample with 3 biological replicates each, sequenced in both directions

INSTRUMENT(S): Illumina HiSeq 2000

ORGANISM(S): Medicago truncatula

SUBMITTER: Rene Geurts

PROVIDER: E-MTAB-3007 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Rhizobium Lipo-chitooligosaccharide Signaling Triggers Accumulation of Cytokinins in Medicago truncatula Roots.

van Zeijl Arjan A Op den Camp Rik H M RH Deinum Eva E EE Charnikhova Tatsiana T Franssen Henk H Op den Camp Huub J M HJ Bouwmeester Harro H Kohlen Wouter W Bisseling Ton T Geurts René R

Molecular plant 20150321 8

Legume rhizobium symbiosis is initiated upon perception of bacterial secreted lipo-chitooligosaccharides (LCOs). Perception of these signals by the plant initiates a signaling cascade that leads to nodule formation. Several studies have implicated a function for cytokinin in this process. However, whether cytokinin accumulation and subsequent signaling are an integral part of rhizobium LCO signaling remains elusive. Here, we show that cytokinin signaling is required for the majority of transcrip ...[more]

PMID: 25804975

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CK dependent Rhizobium LCO induced signalling in Medicago truncatula

Project description:CK dependent Rhizobium LCO induced signalling in Medicago truncatula

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The small RNA diversity from Medicago truncatula roots under biotic interactions evidences the environmental plasticity of the miRNAome

Project description:Plants show a remarkable plasticity to adapt their root architecture to biotic and abiotic constraints of the soil environment. Although some of these modifications are fine-tuned by miRNAs, there are still shadow zones in these regulations. In the model legume Medicago truncatula, we analyzed the small RNA (smRNA) transcriptome of roots submitted to symbiotic and pathogenic interactions. Mapping on the genome and prediction of pre-miRNA hairpins allowed the identification of 416 candidates. Out of them, we found known and novel variants of 77 miRNA families, already reported in miRBase. In addition, thanks stringent criteria of miRNA prediction, 53 mtr-miRNAs were discovered, including 27 putative miRtrons. Exploring polymorphism in 26 M. truncatula ecotypes, higher polymorphism was observed in conserved rather than legume-specific miRNA genes. An average of 19 targets, mainly involved in environmental responses and signaling, was predicted per novel miRNA. In addition, taking advantage of our large number of smRNA libraries, we identified sets of miRNAs responsive to root pathogens or to symbiotic interactions and the related Nod and myc-LCO signals. 23 libraries of small RNA (smRNA) of roots submitted to symbiotic and pathogenic interactions.

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

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Project description: Not available

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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

Project description:CK Raw sequence reads

| PRJNA739459 | ENA

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