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.

Alternate abstract:

Design Type(s)transcription profiling design • sequence assembly objective • sequence annotation objectiveMeasurement Type(s)transcription profiling assayTechnology Type(s)RNA sequencingFactor Type(s)experimental condition • temporal_intervalSample Characteristic(s)Platanus × hispanica • leaf

Machine-accessible metadata file describing the reported data (ISA-Tab format)

Details

Title
Transcriptome sequencing, molecular markers, and transcription factor discovery of Platanus acerifolia in the presence of Corythucha ciliata
Author
Li, Fengqi 1 ; Wu, Chunyan 2 ; Gao, Mengzhu 1 ; Jiao, Mengmeng 1 ; Qu, Cheng 1 ; Gonzalez-Uriarte, Asier 3 ; Chen, Luo 1 

 Institute of Plant and Environment Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China 
 College of Life Sciences, Capital Normal University, Beijing, China 
 Rothamsted Research, Computational and Analytical Sciences Department, Harpenden, UK 
Pages
1-7
Publication year
2019
Publication date
Dec 2019
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2262063769
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.