@article{fdi:010075175, title = {{T}ranscriptome data from three endemic {M}yrtaceae species from {N}ew {C}aledonia displaying contrasting responses to myrtle rust ({A}ustropuccinia psidii) [{D}ata paper]}, author = {{S}oewarto, {J}. and {H}amelin, {C}. and {B}ocs, {S}. and {M}ournet, {P}. and {V}ignes, {H}. and {B}erger, {A}. and {A}rmero, {A}. and {M}artin, {G}. and {D}ereeper, {A}lexis and {S}arah, {G}. and {C}arriconde, {F}. and {M}aggia, {L}.}, editor = {}, language = {{ENG}}, abstract = {{T}he myrtle rust disease, caused by the fungus {A}ustropuccinia psidii, infects a wide range of host species within the {M}yrtaceae family worldwide. {S}ince its first report in 2013 in {N}ew {C}aledonia, it was found on various types of native environments where {M}yrtaceae are the dominant or codominant species, as well as in several commercial nurseries. {I}t is now considered as a significant threat to ecosystems biodiversity and {M}yrtaceae-related economy. {T}he use of predictive molecular markers for resistance against myrtle rust is currently the most cost-effective and ecological approach to control the disease. {S}uch an approach for neo {C}aledonian endemic {M}yrtaceae species was not possible because of the lack of genomic resources. {T}he 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. {T}he present study focuses on transcriptome analysis on three {M}yrtaceae species endemic to {N}ew {C}aledonia ({A}rillastrum gummiferum, {S}yzygium longifolium and {T}ristaniopsis glauca) that display contrasting responses to the pathogen (non-infected vs infected). {D}ifferential gene expression ({DGE}) and variant calling analysis were conducted on each species. {W}e combined a dual approach by using 1) the annotated reference genome of a related {M}yrtaceae species ({E}ucalyptus grandis) and 2) a de novo transcriptomes of each species.}, keywords = {{NOUVELLE} {CALEDONIE}}, booktitle = {}, journal = {{D}ata in {B}rief}, volume = {22}, numero = {}, pages = {794--811}, ISSN = {2352-3409}, year = {2019}, DOI = {10.1016/j.dib.2018.12.080}, URL = {https://www.documentation.ird.fr/hor/fdi:010075175}, }