Sequencing and De Novo Assembly of the Toxicodendron radicans (Poison Ivy) Transcriptome
- PMID: 29125533
- PMCID: PMC5704230
- DOI: 10.3390/genes8110317
Sequencing and De Novo Assembly of the Toxicodendron radicans (Poison Ivy) Transcriptome
Abstract
Contact with poison ivy plants is widely dreaded because they produce a natural product called urushiol that is responsible for allergenic contact delayed-dermatitis symptoms lasting for weeks. For this reason, the catchphrase most associated with poison ivy is "leaves of three, let it be", which serves the purpose of both identification and an appeal for avoidance. Ironically, despite this notoriety, there is a dearth of specific knowledge about nearly all other aspects of poison ivy physiology and ecology. As a means of gaining a more molecular-oriented understanding of poison ivy physiology and ecology, Next Generation DNA sequencing technology was used to develop poison ivy root and leaf RNA-seq transcriptome resources. De novo assembled transcriptomes were analyzed to generate a core set of high quality expressed transcripts present in poison ivy tissue. The predicted protein sequences were evaluated for similarity to SwissProt homologs and InterProScan domains, as well as assigned both GO terms and KEGG annotations. Over 23,000 simple sequence repeats were identified in the transcriptome, and corresponding oligo nucleotide primer pairs were designed. A pan-transcriptome analysis of existing Anacardiaceae transcriptomes revealed conserved and unique transcripts among these species.
Keywords: Anacardiaceae; Toxicodendron radicans; contact dermatitis; poison ivy; skin rash; transcriptome; urushiol.
Conflict of interest statement
The authors declare no conflict of interest. The Virginia Bioinformatics Institute Core Lab (funding sponsor) performed the Illumina DNA libraries and performed the Illumina DNA sequencing. With the notable exception of the collection of the Illumina sequence data, the founding sponsors had no role in the design of the study; in the analyses, or interpretation of the data; in the writing of the manuscript, and in the decision to publish the results.
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