PoplarV1, Main, Exploration, bibRecord, 002A56

Genome-wide profiling of novel and conserved Populus microRNAs involved in pathogen stress response by deep sequencing.

Identifieur interne : 002A56 ( Main/Exploration ); précédent : 002A55; suivant : 002A57

Genome-wide profiling of novel and conserved Populus microRNAs involved in pathogen stress response by deep sequencing.

Auteurs : Lei Chen [République populaire de Chine] ; Yuanyuan Ren ; Yiyun Zhang ; Jichen Xu ; Zhiyi Zhang ; Yanwei Wang

Source :

Planta [ 1432-2048 ] ; 2012.

RBID : pubmed:22101925

Descripteurs français

KwdFr :
- Analyse de profil d'expression de gènes (MeSH), Analyse de séquence d'ARN (MeSH), Ascomycota (pathogénicité), Ascomycota (physiologie), Génome (MeSH), Interactions hôte-pathogène (MeSH), Populus (génétique), Populus (microbiologie), Régulation de l'expression des gènes végétaux (MeSH), Résistance à la maladie (génétique), Séquençage nucléotidique à haut débit (MeSH), microARN (génétique), Étude d'association pangénomique (MeSH).
MESH :
- génétique : Populus, Résistance à la maladie, microARN.
- microbiologie : Populus.
- pathogénicité : Ascomycota.
- physiologie : Ascomycota.
- Analyse de profil d'expression de gènes, Analyse de séquence d'ARN, Génome, Interactions hôte-pathogène, Régulation de l'expression des gènes végétaux, Séquençage nucléotidique à haut débit, Étude d'association pangénomique.

English descriptors

KwdEn :
- Ascomycota (pathogenicity), Ascomycota (physiology), Disease Resistance (genetics), Gene Expression Profiling (MeSH), Gene Expression Regulation, Plant (MeSH), Genome (MeSH), Genome-Wide Association Study (MeSH), High-Throughput Nucleotide Sequencing (MeSH), Host-Pathogen Interactions (MeSH), MicroRNAs (genetics), Populus (genetics), Populus (microbiology), Sequence Analysis, RNA (MeSH).
MESH :
- chemical , genetics : MicroRNAs.
- genetics : Disease Resistance, Populus.
- microbiology : Populus.
- pathogenicity : Ascomycota.
- physiology : Ascomycota.
- Gene Expression Profiling, Gene Expression Regulation, Plant, Genome, Genome-Wide Association Study, High-Throughput Nucleotide Sequencing, Host-Pathogen Interactions, Sequence Analysis, RNA.

Abstract

MicroRNAs (miRNAs) are small RNAs, generally of 20-23 nt, that down-regulate target gene expression during development, differentiation, growth, and metabolism. In Populus, extensive studies of miRNAs involved in cold, heat, dehydration, salinity, and mechanical stresses have been performed; however, there are few reports profiling the miRNA expression patterns during pathogen stress. We obtained almost 38 million raw reads through Solexa sequencing of two libraries from Populus inoculated and uninoculated with canker disease pathogen. Sequence analyses identified 74 conserved miRNA sequences belonging to 37 miRNA families from 154 loci in the Populus genome and 27 novel miRNA sequences from 35 loci, including their complementary miRNA* strands. Intriguingly, the miRNA* of three conserved miRNAs were more abundant than their corresponding miRNAs. The overall expression levels of conserved miRNAs increased when subjected to pathogen stress, and expression levels of 33 miRNA sequences markedly changed. The expression trends determined by sequencing and by qRT-PCR were similar. Finally, nine target genes for three conserved miRNAs and 63 target genes for novel miRNAs were predicted using computational analysis, and their functions were annotated. Deep sequencing provides an opportunity to identify pathogen-regulated miRNAs in trees, which will help in understanding the regulatory mechanisms of plant defense responses during pathogen infection.

DOI: 10.1007/s00425-011-1548-z
PubMed: 22101925

Affiliations:

Links toward previous steps (curation, corpus...)

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Le document en format XML

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<front><div type="abstract" xml:lang="en">MicroRNAs (miRNAs) are small RNAs, generally of 20-23 nt, that down-regulate target gene expression during development, differentiation, growth, and metabolism. In Populus, extensive studies of miRNAs involved in cold, heat, dehydration, salinity, and mechanical stresses have been performed; however, there are few reports profiling the miRNA expression patterns during pathogen stress. We obtained almost 38 million raw reads through Solexa sequencing of two libraries from Populus inoculated and uninoculated with canker disease pathogen. Sequence analyses identified 74 conserved miRNA sequences belonging to 37 miRNA families from 154 loci in the Populus genome and 27 novel miRNA sequences from 35 loci, including their complementary miRNA* strands. Intriguingly, the miRNA* of three conserved miRNAs were more abundant than their corresponding miRNAs. The overall expression levels of conserved miRNAs increased when subjected to pathogen stress, and expression levels of 33 miRNA sequences markedly changed. The expression trends determined by sequencing and by qRT-PCR were similar. Finally, nine target genes for three conserved miRNAs and 63 target genes for novel miRNAs were predicted using computational analysis, and their functions were annotated. Deep sequencing provides an opportunity to identify pathogen-regulated miRNAs in trees, which will help in understanding the regulatory mechanisms of plant defense responses during pathogen infection.</div>
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<ReferenceList><Reference><Citation>Cell. 1994 Sep 23;78(6):1089-99</Citation>
<ArticleIdList><ArticleId IdType="pubmed">7923358</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Rev Genet. 2010 Sep;11(9):597-610</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20661255</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Integr Plant Biol. 2009 Dec;51(12):1071-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20021554</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Genomics. 2009 Dec 20;10:620</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20021695</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nature. 2004 Sep 16;431(7006):364-70</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15372044</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Cell. 2004 May;16(5):1302-13</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15100397</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proc Natl Acad Sci U S A. 2007 Jul 17;104(29):12157-62</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17615233</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proc Natl Acad Sci U S A. 2005 Jul 19;102(29):10381-6</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16006510</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Methods. 2008 Jan;44(1):3-12</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18158127</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Genet. 2006 Jun;38 Suppl:S14-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16736018</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant J. 2008 Jul;55(1):131-51</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18363789</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant J. 2010 Jun 1;62(6):960-76</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20230504</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Dev Cell. 2005 Apr;8(4):517-27</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15809034</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Lipid Res. 2009 Feb;50(2):233-42</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18827284</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Genomics. 2007 Dec 31;8:481</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18166134</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Cell Environ. 2010 Apr;33(4):481-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19781008</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nucleic Acids Res. 2011 Jan;39(Database issue):D32-7</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21071399</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant J. 2006 Apr;46(2):243-59</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16623887</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Cell. 2007 Jun;19(6):1750-69</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17601824</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Cell. 2005 May;17(5):1397-411</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15805478</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Physiol. 2009 Dec;151(4):2120-32</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19854858</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Genomics. 2009 Sep 29;10:457</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19788742</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Cell. 1996 Apr 19;85(2):159-70</Citation>
<ArticleIdList><ArticleId IdType="pubmed">8612269</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Trends Biochem Sci. 1999 May;24(5):181-5</Citation>
<ArticleIdList><ArticleId IdType="pubmed">10322433</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Annu Rev Plant Biol. 2006;57:19-53</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16669754</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Physiol. 2008 Jun;147(2):732-46</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18390805</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Curr Top Microbiol Immunol. 2008;320:117-36</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18268842</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Mol Biol. 2009 Sep;71(1-2):51-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19533381</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Curr Biol. 2003 Apr 29;13(9):784-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12725739</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Genomics. 2009 Sep 23;10:449</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19772667</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS One. 2007 Feb 14;2(2):e219</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17299599</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Science. 1995 Aug 11;269(5225):843-6</Citation>
<ArticleIdList><ArticleId IdType="pubmed">7638602</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Exp Bot. 2011 Jul;62(11):3765-79</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21511902</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Cell. 2004 Aug;16(8):2001-19</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15258262</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant J. 2007 Sep;51(6):1077-98</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17635765</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Biotechnol. 2008 Apr;26(4):407-15</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18392026</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>RNA. 2003 Mar;9(3):277-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12592000</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Phytopathology. 1997 Apr;87(4):381-8</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18945116</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Mol Plant. 2010 Mar;3(2):428-37</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20147371</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Cell. 2005 Aug;17(8):2186-203</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15994906</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nucleic Acids Res. 2008 Jan;36(Database issue):D154-8</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17991681</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Plant Physiol. 2009 Dec 15;166(18):2046-57</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19628301</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genome Biol. 2011 Jun 16;12(6):R53</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21679406</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Cell. 2005 Apr 22;121(2):207-21</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15851028</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant J. 2009 Jan;57(2):313-21</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18801012</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Science. 1994 Sep 23;265(5180):1856-60</Citation>
<ArticleIdList><ArticleId IdType="pubmed">8091210</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Biotechniques. 2005 Oct;39(4):519-25</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16235564</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Science. 2005 Sep 2;309(5740):1567-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16141074</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Plant Biol. 2010 Jan 05;10:3</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20047695</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>FEBS Lett. 2008 Jul 9;582(16):2445-52</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18558089</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Bioinformatics. 2008 Mar 1;24(5):713-4</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18227114</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Cell. 2005 Jun;17(6):1658-73</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15849273</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Genet. 2006 Jun;38 Suppl:S31-6</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16736022</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Cell. 2008 Dec;20(12):3186-90</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19074682</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genes Dev. 2006 Dec 15;20(24):3407-25</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17182867</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Mol Biol. 1999 May 21;288(5):911-40</Citation>
<ArticleIdList><ArticleId IdType="pubmed">10329189</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Biochem Biophys Res Commun. 2009 Oct 16;388(2):272-7</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19664594</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Biotechnol. 2008 Aug;26(8):941-6</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18542052</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Planta. 2009 Sep;230(4):671-85</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19585144</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Mol Cell. 2006 Apr 7;22(1):129-36</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16600876</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Curr Biol. 2005 Nov 22;15(22):2038-43</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16303564</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nature. 1994 Sep 22;371(6495):297-300</Citation>
<ArticleIdList><ArticleId IdType="pubmed">8090199</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
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<name sortKey="Xu, Jichen" sort="Xu, Jichen" uniqKey="Xu J" first="Jichen" last="Xu">Jichen Xu</name>
<name sortKey="Zhang, Yiyun" sort="Zhang, Yiyun" uniqKey="Zhang Y" first="Yiyun" last="Zhang">Yiyun Zhang</name>
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Genome-wide profiling of novel and conserved Populus microRNAs involved in pathogen stress response by deep sequencing.

Genome-wide profiling of novel and conserved Populus microRNAs involved in pathogen stress response by deep sequencing.

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