Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

High-throughput pyrosequencing of miRNAs from Medicago truncatula nodules and roots

ABSTRACT: We have used deep sequencing of small RNAs from nodules and root apexes of the model legume Medicago truncatula, to identify 113 novel candidate miRNAs. These miRNAs (legume or Mt-specific) are encoded by 278 putative hairpin precursors in the M. truncatula genome. Several miRNAs are differentially expressed in nodules and root tips and large variety of targets could be predicted for these genes. Specific miRNA isoforms showed contrasting expression patterns in these tissues Keywords: Transcriptome analysis 3 samples examined: nodules, root tips, and root tips + NaCl

ORGANISM(S): Medicago truncatula

SUBMITTER: Jerome Gouzy

PROVIDER: E-GEOD-15438 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Genome-wide Medicago truncatula small RNA analysis revealed novel microRNAs and isoforms differentially regulated in roots and nodules.

Lelandais-Brière Christine C Naya Loreto L Sallet Erika E Calenge Fanny F Frugier Florian F Hartmann Caroline C Gouzy Jérome J Crespi Martin M

The Plant cell 20090918 9

Posttranscriptional regulation of a variety of mRNAs by small 21- to 24-nucleotide RNAs, notably the microRNAs (miRNAs), is emerging as a novel developmental mechanism. In legumes like the model Medicago truncatula, roots are able to develop a de novo meristem through the symbiotic interaction with nitrogen-fixing rhizobia. We used deep sequencing of small RNAs from root apexes and nodules of M. truncatula to identify 100 novel candidate miRNAs encoded by 265 hairpin precursors. New atypical pre ...[more]

PMID: 19767456

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Project description:Although Candida albicans and Candida dubliniensis are most closely related, both species significantly behave differently with respect to morphogenesis and virulence. In order to gain further insight into the divergent routes for morphogenetic adaptation in both species, we investigated qualitative along with quantitative differences in the transcriptomes of both organisms by cDNA deep sequencing. Following genome-associated assembly of sequence reads we were able to generate experimentally verified databases containing 6016 and 5972 genes for C. albicans and C. dubliniensis, respectively. About 95% of the transcriptionally active regions (TARs) contain open reading frames while the remaining TARs most likely represent non-coding RNAs. Comparison of our annotations with publically available gene models for C. albicans and C. dubliniensis confirmed approximately 95% of already predicted genes, but also revealed so far unknown novel TARs in both species. Qualitative cross-species analysis of these databases revealed in addition to 5802 orthologs also 399 and 49 species-specific protein coding genes for C. albicans and C. dubliniensis, respectively. Furthermore, quantitative transcriptional profiling using RNA-Seq revealed significant differences in the expression of orthologs across both species. We defined a core subset of 84 hyphal-specific genes required for both species, as well as a set of 42 genes that seem to be specifically induced during hyphal morphogenesis in C. albicans. Species specific adaptation in C. albicans and C. dubliniensis is governed by individual genetic repertoires but also by altered regulation of conserved orthologs on the transcriptional level. We investigated qualitative along with quantitative differences in the transcriptomes of both organisms by cDNA deep sequencing. In a first step, we reevaluated the in silico predicted gene models by collecting experimental data using FLX - technology for sequencing strand-specific and normalized cDNA libraries derived from blastospores and hyphae. In the second step, quantitative RNA-Seq (GAIIX) was applied to C. albicans hyphal cells and C. dubliniensis blastospore and hyphal cells to complement reevaluation of the gene models with FLX data as well as to measure differential gene expression across the species with two biological replicates.

Dataset Information

High-throughput pyrosequencing of miRNAs from Medicago truncatula nodules and roots

Publications

Genome-wide Medicago truncatula small RNA analysis revealed novel microRNAs and isoforms differentially regulated in roots and nodules.

Similar Datasets

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