Cargando…

Bioinformatic prediction, deep sequencing of microRNAs and expression analysis during phenotypic plasticity in the pea aphid, Acyrthosiphon pisum

BACKGROUND: Post-transcriptional regulation in eukaryotes can be operated through microRNA (miRNAs) mediated gene silencing. MiRNAs are small (18-25 nucleotides) non-coding RNAs that play crucial role in regulation of gene expression in eukaryotes. In insects, miRNAs have been shown to be involved i...

Descripción completa

Detalles Bibliográficos
Autores principales: Legeai, Fabrice, Rizk, Guillaume, Walsh, Thomas, Edwards, Owain, Gordon, Karl, Lavenier, Dominique, Leterme, Nathalie, Méreau, Agnès, Nicolas, Jacques, Tagu, Denis, Jaubert-Possamai, Stéphanie
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2880305/
https://www.ncbi.nlm.nih.gov/pubmed/20444247
http://dx.doi.org/10.1186/1471-2164-11-281
_version_ 1782182011627110400
author Legeai, Fabrice
Rizk, Guillaume
Walsh, Thomas
Edwards, Owain
Gordon, Karl
Lavenier, Dominique
Leterme, Nathalie
Méreau, Agnès
Nicolas, Jacques
Tagu, Denis
Jaubert-Possamai, Stéphanie
author_facet Legeai, Fabrice
Rizk, Guillaume
Walsh, Thomas
Edwards, Owain
Gordon, Karl
Lavenier, Dominique
Leterme, Nathalie
Méreau, Agnès
Nicolas, Jacques
Tagu, Denis
Jaubert-Possamai, Stéphanie
author_sort Legeai, Fabrice
collection PubMed
description BACKGROUND: Post-transcriptional regulation in eukaryotes can be operated through microRNA (miRNAs) mediated gene silencing. MiRNAs are small (18-25 nucleotides) non-coding RNAs that play crucial role in regulation of gene expression in eukaryotes. In insects, miRNAs have been shown to be involved in multiple mechanisms such as embryonic development, tissue differentiation, metamorphosis or circadian rhythm. Insect miRNAs have been identified in different species belonging to five orders: Coleoptera, Diptera, Hymenoptera, Lepidoptera and Orthoptera. RESULTS: We developed high throughput Solexa sequencing and bioinformatic analyses of the genome of the pea aphid Acyrthosiphon pisum in order to identify the first miRNAs from a hemipteran insect. By combining these methods we identified 149 miRNAs including 55 conserved and 94 new miRNAs. Moreover, we investigated the regulation of these miRNAs in different alternative morphs of the pea aphid by analysing the expression of miRNAs across the switch of reproduction mode. Pea aphid microRNA sequences have been posted to miRBase: http://microrna.sanger.ac.uk/sequences/ CONCLUSIONS: Our study has identified candidates as putative regulators involved in reproductive polyphenism in aphids and opens new avenues for further functional analyses.
format Text
id pubmed-2880305
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-28803052010-06-04 Bioinformatic prediction, deep sequencing of microRNAs and expression analysis during phenotypic plasticity in the pea aphid, Acyrthosiphon pisum Legeai, Fabrice Rizk, Guillaume Walsh, Thomas Edwards, Owain Gordon, Karl Lavenier, Dominique Leterme, Nathalie Méreau, Agnès Nicolas, Jacques Tagu, Denis Jaubert-Possamai, Stéphanie BMC Genomics Research Article BACKGROUND: Post-transcriptional regulation in eukaryotes can be operated through microRNA (miRNAs) mediated gene silencing. MiRNAs are small (18-25 nucleotides) non-coding RNAs that play crucial role in regulation of gene expression in eukaryotes. In insects, miRNAs have been shown to be involved in multiple mechanisms such as embryonic development, tissue differentiation, metamorphosis or circadian rhythm. Insect miRNAs have been identified in different species belonging to five orders: Coleoptera, Diptera, Hymenoptera, Lepidoptera and Orthoptera. RESULTS: We developed high throughput Solexa sequencing and bioinformatic analyses of the genome of the pea aphid Acyrthosiphon pisum in order to identify the first miRNAs from a hemipteran insect. By combining these methods we identified 149 miRNAs including 55 conserved and 94 new miRNAs. Moreover, we investigated the regulation of these miRNAs in different alternative morphs of the pea aphid by analysing the expression of miRNAs across the switch of reproduction mode. Pea aphid microRNA sequences have been posted to miRBase: http://microrna.sanger.ac.uk/sequences/ CONCLUSIONS: Our study has identified candidates as putative regulators involved in reproductive polyphenism in aphids and opens new avenues for further functional analyses. BioMed Central 2010-05-05 /pmc/articles/PMC2880305/ /pubmed/20444247 http://dx.doi.org/10.1186/1471-2164-11-281 Text en Copyright ©2010 Legeai et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Legeai, Fabrice
Rizk, Guillaume
Walsh, Thomas
Edwards, Owain
Gordon, Karl
Lavenier, Dominique
Leterme, Nathalie
Méreau, Agnès
Nicolas, Jacques
Tagu, Denis
Jaubert-Possamai, Stéphanie
Bioinformatic prediction, deep sequencing of microRNAs and expression analysis during phenotypic plasticity in the pea aphid, Acyrthosiphon pisum
title Bioinformatic prediction, deep sequencing of microRNAs and expression analysis during phenotypic plasticity in the pea aphid, Acyrthosiphon pisum
title_full Bioinformatic prediction, deep sequencing of microRNAs and expression analysis during phenotypic plasticity in the pea aphid, Acyrthosiphon pisum
title_fullStr Bioinformatic prediction, deep sequencing of microRNAs and expression analysis during phenotypic plasticity in the pea aphid, Acyrthosiphon pisum
title_full_unstemmed Bioinformatic prediction, deep sequencing of microRNAs and expression analysis during phenotypic plasticity in the pea aphid, Acyrthosiphon pisum
title_short Bioinformatic prediction, deep sequencing of microRNAs and expression analysis during phenotypic plasticity in the pea aphid, Acyrthosiphon pisum
title_sort bioinformatic prediction, deep sequencing of micrornas and expression analysis during phenotypic plasticity in the pea aphid, acyrthosiphon pisum
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2880305/
https://www.ncbi.nlm.nih.gov/pubmed/20444247
http://dx.doi.org/10.1186/1471-2164-11-281
work_keys_str_mv AT legeaifabrice bioinformaticpredictiondeepsequencingofmicrornasandexpressionanalysisduringphenotypicplasticityinthepeaaphidacyrthosiphonpisum
AT rizkguillaume bioinformaticpredictiondeepsequencingofmicrornasandexpressionanalysisduringphenotypicplasticityinthepeaaphidacyrthosiphonpisum
AT walshthomas bioinformaticpredictiondeepsequencingofmicrornasandexpressionanalysisduringphenotypicplasticityinthepeaaphidacyrthosiphonpisum
AT edwardsowain bioinformaticpredictiondeepsequencingofmicrornasandexpressionanalysisduringphenotypicplasticityinthepeaaphidacyrthosiphonpisum
AT gordonkarl bioinformaticpredictiondeepsequencingofmicrornasandexpressionanalysisduringphenotypicplasticityinthepeaaphidacyrthosiphonpisum
AT lavenierdominique bioinformaticpredictiondeepsequencingofmicrornasandexpressionanalysisduringphenotypicplasticityinthepeaaphidacyrthosiphonpisum
AT letermenathalie bioinformaticpredictiondeepsequencingofmicrornasandexpressionanalysisduringphenotypicplasticityinthepeaaphidacyrthosiphonpisum
AT mereauagnes bioinformaticpredictiondeepsequencingofmicrornasandexpressionanalysisduringphenotypicplasticityinthepeaaphidacyrthosiphonpisum
AT nicolasjacques bioinformaticpredictiondeepsequencingofmicrornasandexpressionanalysisduringphenotypicplasticityinthepeaaphidacyrthosiphonpisum
AT tagudenis bioinformaticpredictiondeepsequencingofmicrornasandexpressionanalysisduringphenotypicplasticityinthepeaaphidacyrthosiphonpisum
AT jaubertpossamaistephanie bioinformaticpredictiondeepsequencingofmicrornasandexpressionanalysisduringphenotypicplasticityinthepeaaphidacyrthosiphonpisum