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

Research output: Contribution to journalReview articleResearchpeer review

Authors

  • Helge Küster
  • 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

External Research Organisations

  • Bielefeld University
  • University of Bonn
  • Karlsruhe Institute of Technology (KIT)
  • Julius Maximilian University of Würzburg
  • University of Tübingen
  • Leibniz Institute of Vegetable and Ornamental Crops (IGZ)
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Details

Original languageEnglish
Pages (from-to)19-32
Number of pages14
JournalPHYTOCHEMISTRY
Volume68
Issue number1
Publication statusPublished - Jan 2007
Externally publishedYes

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.

Keywords

    Arbuscular mycorrhiza, Bioinformatics, Ectomycorrhiza, Ectomycorrhizal fungi, EST-Clustering, EST-Sequencing, Glomus intraradices, in silico Profiling, Macroarrays, Medicago truncatula, Microarrays, Populus tremula, Transcriptome database

ASJC Scopus subject areas

Cite this

Development of bioinformatic tools to support EST-sequencing, in silico- and microarray-based transcriptome profiling in mycorrhizal symbioses. / Küster, Helge; Becker, Anke; Firnhaber, Christian et al.
In: PHYTOCHEMISTRY, Vol. 68, No. 1, 01.2007, p. 19-32.

Research output: Contribution to journalReview articleResearchpeer review

Küster, H, Becker, A, Firnhaber, C, Hohnjec, N, Manthey, K, Perlick, AM, Bekel, T, Dondrup, M, Henckel, K, Goesmann, A, Meyer, F, Wipf, D, Requena, N, Hildebrandt, U, Hampp, R, Nehls, U, Krajinski, F, Franken, P & Pühler, A 2007, 'Development of bioinformatic tools to support EST-sequencing, in silico- and microarray-based transcriptome profiling in mycorrhizal symbioses', PHYTOCHEMISTRY, vol. 68, no. 1, pp. 19-32. https://doi.org/10.1016/j.phytochem.2006.09.026
Küster, H., Becker, A., Firnhaber, C., Hohnjec, N., Manthey, K., Perlick, A. M., Bekel, T., Dondrup, M., Henckel, K., Goesmann, A., Meyer, F., Wipf, D., Requena, N., Hildebrandt, U., Hampp, R., Nehls, U., Krajinski, F., Franken, P., & Pühler, A. (2007). Development of bioinformatic tools to support EST-sequencing, in silico- and microarray-based transcriptome profiling in mycorrhizal symbioses. PHYTOCHEMISTRY, 68(1), 19-32. https://doi.org/10.1016/j.phytochem.2006.09.026
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title = "Development of bioinformatic tools to support EST-sequencing, in silico- and microarray-based transcriptome profiling in mycorrhizal symbioses",
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.",
keywords = "Arbuscular mycorrhiza, Bioinformatics, Ectomycorrhiza, Ectomycorrhizal fungi, EST-Clustering, EST-Sequencing, Glomus intraradices, in silico Profiling, Macroarrays, Medicago truncatula, Microarrays, Populus tremula, Transcriptome database",
author = "Helge K{\"u}ster and Anke Becker and Christian Firnhaber and Natalija Hohnjec and Katja Manthey and Perlick, {Andreas M.} and Thomas Bekel and Michael Dondrup and Kolja Henckel and Alexander Goesmann and Folker Meyer and Daniel Wipf and Natalia Requena and Ulrich Hildebrandt and R{\"u}diger Hampp and Uwe Nehls and Franziska Krajinski and Philipp Franken and Alfred P{\"u}hler",
note = "Funding information: The transcriptomics work was supported by the Deutsche Forschungsgemeinschaft in the SPP 1084 “Mykorrhiza” projects Pu-28/22-1, KU1478/1-2, and Pu-28/25-3 as well as by the European Union projects MEDICAGO (QLG-CT2000-00676) and GRAIN LEGUMES (FOOD-CT-2004-506223). Helge K{\"u}ster, Michael Dondrup and Natalija Hohnjec received financial support from the International Graduate School in Bioinformatics and Genome Research. We are thankful to Vivienne Gianinazzi-Pearson and Diederik van Tuinen (both INRA, Dijon, France) as well as to Jer{\^o}me Gouzy and Pascal Gamas (all CNRS-INRA, Toulouse, France) for long-lasting, fruitful collaborations in the field of M. truncatula transcriptomics. Greg May (Samuel Roberts Noble Foundation, Ardmore, Oklahoma, USA) and Chris Town (TIGR, Rockville, Maryland, USA) are acknowledged for the cooperation during the setup of a M. truncatula 16 k 70mer oligonucleotide set. We are grateful to Manuela Meyer, Eva Schulte-Berndt, and Tanja Thias (Institute for Genome Research, Center for Biotechnology, Universit{\"a}t Bielefeld) for their excellent technical support throughout the project.",
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Download

TY - JOUR

T1 - Development of bioinformatic tools to support EST-sequencing, in silico- and microarray-based transcriptome profiling in mycorrhizal symbioses

AU - Küster, Helge

AU - Becker, Anke

AU - Firnhaber, Christian

AU - Hohnjec, Natalija

AU - Manthey, Katja

AU - Perlick, Andreas M.

AU - Bekel, Thomas

AU - Dondrup, Michael

AU - Henckel, Kolja

AU - Goesmann, Alexander

AU - Meyer, Folker

AU - Wipf, Daniel

AU - Requena, Natalia

AU - Hildebrandt, Ulrich

AU - Hampp, Rüdiger

AU - Nehls, Uwe

AU - Krajinski, Franziska

AU - Franken, Philipp

AU - Pühler, Alfred

N1 - Funding information: The transcriptomics work was supported by the Deutsche Forschungsgemeinschaft in the SPP 1084 “Mykorrhiza” projects Pu-28/22-1, KU1478/1-2, and Pu-28/25-3 as well as by the European Union projects MEDICAGO (QLG-CT2000-00676) and GRAIN LEGUMES (FOOD-CT-2004-506223). Helge Küster, Michael Dondrup and Natalija Hohnjec received financial support from the International Graduate School in Bioinformatics and Genome Research. We are thankful to Vivienne Gianinazzi-Pearson and Diederik van Tuinen (both INRA, Dijon, France) as well as to Jerôme Gouzy and Pascal Gamas (all CNRS-INRA, Toulouse, France) for long-lasting, fruitful collaborations in the field of M. truncatula transcriptomics. Greg May (Samuel Roberts Noble Foundation, Ardmore, Oklahoma, USA) and Chris Town (TIGR, Rockville, Maryland, USA) are acknowledged for the cooperation during the setup of a M. truncatula 16 k 70mer oligonucleotide set. We are grateful to Manuela Meyer, Eva Schulte-Berndt, and Tanja Thias (Institute for Genome Research, Center for Biotechnology, Universität Bielefeld) for their excellent technical support throughout the project.

PY - 2007/1

Y1 - 2007/1

N2 - 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.

AB - 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.

KW - Arbuscular mycorrhiza

KW - Bioinformatics

KW - Ectomycorrhiza

KW - Ectomycorrhizal fungi

KW - EST-Clustering

KW - EST-Sequencing

KW - Glomus intraradices

KW - in silico Profiling

KW - Macroarrays

KW - Medicago truncatula

KW - Microarrays

KW - Populus tremula

KW - Transcriptome database

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U2 - 10.1016/j.phytochem.2006.09.026

DO - 10.1016/j.phytochem.2006.09.026

M3 - Review article

C2 - 17081576

AN - SCOPUS:33845669590

VL - 68

SP - 19

EP - 32

JO - PHYTOCHEMISTRY

JF - PHYTOCHEMISTRY

SN - 0031-9422

IS - 1

ER -

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