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Transcriptome data from three endemic Myrtaceae species from New Caledonia displaying contrasting responses to myrtle rust (Austropuccinia psidii)

Soewarto Julia, Hamelin Chantal, Bocs Stéphanie, Mournet Pierre, Vignes Hélène, Berger Angélique, Armero Villanueva Alix Augusto, Martin Guillaume, Dereeper Alexis, Sarah Gautier, Carriconde Fabian, Maggia Laurent. 2019. Transcriptome data from three endemic Myrtaceae species from New Caledonia displaying contrasting responses to myrtle rust (Austropuccinia psidii). Data in Brief, 22 : pp. 794-811.

Journal article ; Data paper ; Article de revue à comité de lecture Revue en libre accès total
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Soewarto et al. 2019- Transcriptome data from three endemic Myrtaceae species from New Caledonia displaying contrasting responses to myrtle rust.pdf

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Url - jeu de données : https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE106750

Abstract : The myrtle rust disease, caused by the fungus Austropuccinia psidii, infects a wide range of host species within the Myrtaceae family worldwide. Since its first report in 2013 in New Caledonia, it was found on various types of native environments where Myrtaceae are the dominant or codominant species, as well as in several commercial nurseries. It is now considered as a significant threat to ecosystems biodiversity and Myrtaceae-related economy. The use of predictive molecular markers for resistance against myrtle rust is currently the most cost-effective and ecological approach to control the disease. Such an approach for neo Caledonian endemic Myrtaceae species was not possible because of the lack of genomic resources. The recent advancement in new generation sequencing technologies accompanied with relevant bioinformatics tools now provide new research opportunity for work in non-model organism at the transcriptomic level. The present study focuses on transcriptome analysis on three Myrtaceae species endemic to New Caledonia (Arillastrum gummiferum, Syzygium longifolium and Tristaniopsis glauca) that display contrasting responses to the pathogen (non-infected vs infected). Differential gene expression (DGE) and variant calling analysis were conducted on each species. We combined a dual approach by using 1) the annotated reference genome of a related Myrtaceae species (Eucalyptus grandis) and 2) a de novo transcriptomes of each species.

Mots-clés géographiques Agrovoc : Nouvelle-Calédonie

Classification Agris : H20 - Plant diseases
F30 - Plant genetics and breeding

Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes

Auteurs et affiliations

  • Soewarto Julia, IAC (NCL) - auteur correspondant
  • Hamelin Chantal, CIRAD-BIOS-UMR AGAP (FRA)
  • Bocs Stéphanie, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0001-7850-4426
  • Mournet Pierre, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0001-8011-8647
  • Vignes Hélène, CIRAD-BIOS-UMR AGAP (FRA)
  • Berger Angélique, CIRAD-BIOS-UMR AGAP (FRA)
  • Armero Villanueva Alix Augusto, CIRAD-BIOS-UMR AGAP (FRA)
  • Martin Guillaume, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-1801-7500
  • Dereeper Alexis, CIRAD-BIOS-UMR ASTRE (GLP)
  • Sarah Gautier, INRA (FRA)
  • Carriconde Fabian, IAC (NCL)
  • Maggia Laurent, CIRAD-BIOS-UMR AGAP (NCL)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/590640/)

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