Transcriptome data from three endemic Myrtaceae species from New Caledonia displaying contrasting responses to myrtle rust (Austropuccinia psidii)
Julia Soewarto,
Chantal Hamelin,
Stéphanie Bocs,
Pierre Mournet,
Hélène Vignes,
Angélique Berger,
Alix Armero,
Guillaume Martin,
Alexis Dereeper,
Gautier Sarah,
Fabian Carriconde,
Laurent Maggia
Affiliations
Julia Soewarto
Institut Agronomique néo-Calédonien (IAC), 98848 Nouméa, New Caledonia; Corresponding authors.
Chantal Hamelin
CIRAD, UMR AGAP, F-34398 Montpellier, France; South Green Bioinformatics Platform, Montpellier, France; AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France; Corresponding authors.
Stéphanie Bocs
CIRAD, UMR AGAP, F-34398 Montpellier, France; South Green Bioinformatics Platform, Montpellier, France; AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
Pierre Mournet
CIRAD, UMR AGAP, F-34398 Montpellier, France; AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
Hélène Vignes
CIRAD, UMR AGAP, F-34398 Montpellier, France; AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
Angélique Berger
CIRAD, UMR AGAP, F-34398 Montpellier, France; AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
Alix Armero
CIRAD, UMR AGAP, F-34398 Montpellier, France; AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
Guillaume Martin
CIRAD, UMR AGAP, F-34398 Montpellier, France; AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
Alexis Dereeper
IRD, UMR IPME (IRD-UM2-Cirad) 911, avenue Agropolis, BP 64501, 34394 Montpellier Cedex 5, France; South Green Bioinformatics Platform, Montpellier, France
Gautier Sarah
CIRAD, UMR AGAP, F-34398 Montpellier, France; South Green Bioinformatics Platform, Montpellier, France; AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
Fabian Carriconde
Institut Agronomique néo-Calédonien (IAC), 98848 Nouméa, New Caledonia
Laurent Maggia
Institut Agronomique néo-Calédonien (IAC), 98848 Nouméa, New Caledonia; CIRAD, UMR AGAP, 98800 Nouméa, New Caledonia; AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
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.