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Development of bioinformatic tools to support EST-sequencing, in silico- and microarray-based transcriptome profiling in mycorrhizal symbioses.

Identifieur interne : 003C13 ( Main/Exploration ); précédent : 003C12; suivant : 003C14

Development of bioinformatic tools to support EST-sequencing, in silico- and microarray-based transcriptome profiling in mycorrhizal symbioses.

Auteurs : Helge Küster [Allemagne] ; Anke Becker ; Christian Firnhaber ; Natalija Hohnjec ; Katja Manthey ; Andreas M. Perlick ; Thomas Bekel ; Michael Dondrup ; Kolja Henckel ; Alexander Goesmann ; Folker Meyer ; Daniel Wipf ; Natalia Requena ; Ulrich Hildebrandt ; Rüdiger Hampp ; Uwe Nehls ; Franziska Krajinski ; Philipp Franken ; Alfred Pühler

Source :

RBID : pubmed:17081576

Descripteurs français

English descriptors

Abstract

The great majority of terrestrial plants enters a beneficial arbuscular mycorrhiza (AM) or ectomycorrhiza (ECM) symbiosis with soil fungi. In the SPP 1084 "MolMyk: Molecular Basics of Mycorrhizal Symbioses", high-throughput EST-sequencing was performed to obtain snapshots of the plant and fungal transcriptome in mycorrhizal roots and in extraradical hyphae. To focus activities, the interactions between Medicago truncatula and Glomus intraradices as well as Populus tremula and Amanita muscaria were selected as models for AM and ECM symbioses, respectively. Together, almost, 20.000 expressed sequence tags (ESTs) were generated from different random and suppressive subtractive hybridization (SSH) cDNA libraries, providing a comprehensive overview of the mycorrhizal transcriptome. To automatically cluster and annotate EST-sequences, the BioMake and SAMS software tools were developed. In connection with the eNorthern software SteN, plant genes with a predicted mycorrhiza-induced expression were identified. To support experimental transcriptome profiling, macro- and microarray tools have been constructed for the two model mycorrhizae, based either on PCR-amplified cDNAs or 70mer oligonucleotides. These arrays were used to profile the transcriptome of AM and ECM roots under different conditions, and the data obtained were uploaded to the ArrayLIMS and EMMA databases that are designed to store and evaluate expression profiles from DNA arrays. Together, the EST- and transcriptome databases can be mined to identify candidate genes for targeted functional studies.

DOI: 10.1016/j.phytochem.2006.09.026
PubMed: 17081576


Affiliations:


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


Le document en format XML

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<div type="abstract" xml:lang="en">The great majority of terrestrial plants enters a beneficial arbuscular mycorrhiza (AM) or ectomycorrhiza (ECM) symbiosis with soil fungi. In the SPP 1084 "MolMyk: Molecular Basics of Mycorrhizal Symbioses", high-throughput EST-sequencing was performed to obtain snapshots of the plant and fungal transcriptome in mycorrhizal roots and in extraradical hyphae. To focus activities, the interactions between Medicago truncatula and Glomus intraradices as well as Populus tremula and Amanita muscaria were selected as models for AM and ECM symbioses, respectively. Together, almost, 20.000 expressed sequence tags (ESTs) were generated from different random and suppressive subtractive hybridization (SSH) cDNA libraries, providing a comprehensive overview of the mycorrhizal transcriptome. To automatically cluster and annotate EST-sequences, the BioMake and SAMS software tools were developed. In connection with the eNorthern software SteN, plant genes with a predicted mycorrhiza-induced expression were identified. To support experimental transcriptome profiling, macro- and microarray tools have been constructed for the two model mycorrhizae, based either on PCR-amplified cDNAs or 70mer oligonucleotides. These arrays were used to profile the transcriptome of AM and ECM roots under different conditions, and the data obtained were uploaded to the ArrayLIMS and EMMA databases that are designed to store and evaluate expression profiles from DNA arrays. Together, the EST- and transcriptome databases can be mined to identify candidate genes for targeted functional studies.</div>
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<name sortKey="Henckel, Kolja" sort="Henckel, Kolja" uniqKey="Henckel K" first="Kolja" last="Henckel">Kolja Henckel</name>
<name sortKey="Hildebrandt, Ulrich" sort="Hildebrandt, Ulrich" uniqKey="Hildebrandt U" first="Ulrich" last="Hildebrandt">Ulrich Hildebrandt</name>
<name sortKey="Hohnjec, Natalija" sort="Hohnjec, Natalija" uniqKey="Hohnjec N" first="Natalija" last="Hohnjec">Natalija Hohnjec</name>
<name sortKey="Krajinski, Franziska" sort="Krajinski, Franziska" uniqKey="Krajinski F" first="Franziska" last="Krajinski">Franziska Krajinski</name>
<name sortKey="Manthey, Katja" sort="Manthey, Katja" uniqKey="Manthey K" first="Katja" last="Manthey">Katja Manthey</name>
<name sortKey="Meyer, Folker" sort="Meyer, Folker" uniqKey="Meyer F" first="Folker" last="Meyer">Folker Meyer</name>
<name sortKey="Nehls, Uwe" sort="Nehls, Uwe" uniqKey="Nehls U" first="Uwe" last="Nehls">Uwe Nehls</name>
<name sortKey="Perlick, Andreas M" sort="Perlick, Andreas M" uniqKey="Perlick A" first="Andreas M" last="Perlick">Andreas M. Perlick</name>
<name sortKey="Puhler, Alfred" sort="Puhler, Alfred" uniqKey="Puhler A" first="Alfred" last="Pühler">Alfred Pühler</name>
<name sortKey="Requena, Natalia" sort="Requena, Natalia" uniqKey="Requena N" first="Natalia" last="Requena">Natalia Requena</name>
<name sortKey="Wipf, Daniel" sort="Wipf, Daniel" uniqKey="Wipf D" first="Daniel" last="Wipf">Daniel Wipf</name>
</noCountry>
<country name="Allemagne">
<noRegion>
<name sortKey="Kuster, Helge" sort="Kuster, Helge" uniqKey="Kuster H" first="Helge" last="Küster">Helge Küster</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

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{{Explor lien
   |wiki=    Bois
   |area=    PoplarV1
   |flux=    Main
   |étape=   Exploration
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   |clé=     pubmed:17081576
   |texte=   Development of bioinformatic tools to support EST-sequencing, in silico- and microarray-based transcriptome profiling in mycorrhizal symbioses.
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