Abstract
The London Planetree (Platanus acerifolia) are present throughout the world. The tree is considered a greening plant and is commonly planted in streets, parks, and courtyards. The Sycamore lace bug (Corythucha ciliata) is a serious pest of this tree. To determine the molecular mechanism behind the interaction between the London Planetree and the Sycamore lace bug, we generated a comprehensive RNA-seq dataset (630,835,762 clean reads) for P. acerifolia by sequencing both infected and non-infected leaves of C. ciliata using the Illumina Hiseq 4000 system. We assembled the transcriptomes using the Trinity De Novo assembly followed by annotation. In total, 121,136 unigenes were obtained, and 80,559 unigenes were successfully annotated. From the 121,136 unigenes, we identified 3,010,256 SNPs, 39,097 microsatellites locus, and 1,916 transcription factors. The transcriptomic dataset we present are the first reports of transcriptome information in Platanus species and will be incredibly useful in future studies with P. acerifolia and other Platanus species, especially in the areas of genomics, molecular biology, physiology, and population genetics.
Highlights
Background & SummaryTranscriptional sequencing technology is used in biological research for the gene expression profile investigation, the biological molecular evolution, and molecular marker acquisition1–4
Leaf samples of P. acerifolia were collected from mature trees that were in the courtyard of Beijing Academy of Agriculture and Forestry Sciences (Beijing, China) during July 2017 (Table 1)
All 121,136 unigenes found in P. acerifolia leaves were functionally annotated using six public databases (Table 3)
Summary
Transcriptional sequencing technology is used in biological research for the gene expression profile investigation, the biological molecular evolution, and molecular marker acquisition. There is a lack of research regarding the molecular biology of the tree, and there are no publicly available genome or transcriptome resources for the species or the genus. For this reason, research on genetic diversity and work on genetic engineering using molecular biotechnology is limited. This data descriptor provides an opportunity to identify the functional genes and molecular marker for P. acerifolia. This comprehensive P. acerifolia transcriptomic information can be utilized to promote the insect defense mechanisms in P. acerifolia
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