Skip to main content
Research article - Peer-reviewed, 2016

Data set for diet specific differential gene expression analysis in three Spodoptera moths

Roy, Amit; Walker, William B.; Vogel, H.; Kumar Kushwaha, Sandeep; Chattington, Sophie; Larsson, Mattias; Andersson, Peter; Heckel, David G.; Schlyter, Fredrik

Abstract

Examination of closely related species pairs is suggested for evolutionary comparisons of different degrees of polyphagy, which we did here with three taxa of lepidopteran herbivores,Spodopteraspp (S. littoralis,S. frugiperdamaize (C) and rice (R) strains) for a RNAseq analysis of the midguts from the 3rd instar insect larvae for differential metabolic responses after feeding on pinto bean based artificial diet vs maize leaves. Paired-end (2×100bp) Illumina HiSeq2500 sequencing resulted in a total of 24, 23, 24, and 21 million reads for the SF-C-Maize, SF-C-Pinto, SF-R-Maize, SF-R Pinto, and a total of 35 and 36 million reads for the SL-Maize and SL-Pinto samples, respectively. After quality control measures, a total of 62.2 million reads from SL and 71.7 million reads from SF were used for transcriptome assembly (TA). The resulting finalde novoreference TA (backbone) for the SF taxa contained 37,985 contigs with a N50 contig size of 1030bp and a maximum contig length of 17,093bp, while for SL, 28,329 contigs were generated with a N50 contig size of 1980bp and a maximum contig length of 18,267bp. The data presented herein contains supporting information related to our research article Roy et al. (2016)http://dx.doi.org/10.1016/j.ibmb.2016.02.006

Keywords

Differential expression analysis (DGE); Transcriptomics; Spodoptera; Adaptation; Generalist; Specialist; RPKM (reads per kilo base of transcript per million mapped reads); RNA seq

Published in

Data in Brief
2016, volume: 8, pages: 448-455

Authors' information

Roy, Amit
Swedish University of Agricultural Sciences, Department of Plant Protection Biology
Walker, William B. (Walker, William B.)
Swedish University of Agricultural Sciences, Department of Plant Protection Biology
Vogel, H.
Max Planck Institute for Chemical Ecology
Kumar Kushwaha, Sandeep (Kushwaha, Sandeep Kumar)
Swedish University of Agricultural Sciences, Department of Plant Protection Biology
Chattington, Sophie
Swedish University of Agricultural Sciences, Department of Plant Protection Biology
Swedish University of Agricultural Sciences, Department of Plant Protection Biology
Andersson, Peter
Swedish University of Agricultural Sciences, Department of Plant Protection Biology
Heckel, David G.
Max Planck Institute for Chemical Ecology
Swedish University of Agricultural Sciences, Department of Plant Protection Biology

UKÄ Subject classification

Bioinformatics (Computational Biology)

Publication Identifiers

DOI: https://doi.org/10.1016/j.dib.2016.04.029

URI (permanent link to this page)

https://res.slu.se/id/publ/77717