Citrus aurantifolia transcriptome-HLB infected leaves

Analysis NameCitrus aurantifolia transcriptome-HLB infected leaves
MethodTruSeq, Illumina (TransFlow)
Sourcecultivar Colimex, PRJNA574168
Date performed2020-03-03

This data is from Arce-Leal ÁP, Bautista R, Rodríguez-Negrete EA, Manzanilla-Ramírez MÁ, Velázquez-Monreal JJ, Méndez-Lozano J, Bejarano ER, Castillo AG, Claros MG, Leyva-López NE. De novo assembly and functional annotation of Citrus aurantifolia transcriptome from Candidatus Liberibacter asiaticus infected and non-infected trees. Data in brief. 2020 Apr; 29:105198.


Mexican lime (Citrus aurantifolia) belongs to the Rutaceae family and nowadays is one of the major commercial citrus crops in different countries. In Mexico, Mexican lime production is impaired by Huanglongbing (HLB) disease associated to Candidatus Liberibacter asiaticus (CLas) bacteria. To date, transcriptomic studies of CLas-Citrus interaction, have been performed mainly in sweet citrus models at symptomatic (early) stage where pleiotropic responses could mask important, pathogen-driven host modulation as well as, host antibacterial responses. Additionally, well-assembled reference transcriptomes for acid limes including C. aurantifolia are not available. The development of improved transcriptomic resources for CLas-citrus pathosystem, including both asymptomatic (early) and symptomatic (late) stages, could accelerate the understanding of the disease. Here, we provide the first transcriptomic analysis from healthy and HLB-infected C. aurantifolia leaves at both asymptomatic and symptomatic stages, using a RNA-seq approach in the Illumina NexSeq500 platform. The construction of the assembled transcriptome was conducted using the predesigned workflow Transflow and a total of 41,522 tentative transcripts (TTs) obtained. These C. aurantifolia TTs were functionally annotated using TAIR10 and UniProtKB databases. All raw reads were deposited in the NCBI SRA with accession numbers SRR10353556, SRR10353558, SRR10353560 and SRR10353562. Overall, this dataset adds new transcriptomic valuable tools for future breeding programs, will allow the design of novel diagnostic molecular markers, and will be an essential tool for studying the HLB disease.

Additional information about this analysis:
Property NameValue
Analysis Typetranscriptome
Data source filepublic://expression/6018816b28ccb_Normalized_counts_CLas-inoculated-forCGDupload.txt