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

Roy, Amit and Walker, William B and Vogel, H. and Kumar Kushwaha, Sandeep and Chattington, Sophie and Larsson, Mattias and Andersson, Peter and Heckel, David and Schlyter, Fredrik (2016). Data set for diet specific differential gene expression analysis in three Spodoptera moths. Data in brief. 8, 448–455
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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

Authors/Creators:Roy, Amit and Walker, William B and Vogel, H. and Kumar Kushwaha, Sandeep and Chattington, Sophie and Larsson, Mattias and Andersson, Peter and Heckel, David and Schlyter, Fredrik
Title:Data set for diet specific differential gene expression analysis in three Spodoptera moths
Series/Journal:Data in brief (BIB16974631)
Year of publishing :2016
Volume:8
Page range:448–455
Number of Pages:8
Publisher:Elsevier Inc
ISSN:2352-3409
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 102 Computer and Information Science > 10203 Bioinformatics (Computational Biology) (applications to be 10610)
Agrovoc terms:RNA sequence, Spodoptera
Keywords:Differential expression analysis (DGE), Transcriptomics, Spodoptera, Adaptation, Generalist, Specialist, RPKM (reads per kilo base of transcript per million mapped reads), RNA seq
URN:NBN:urn:nbn:se:slu:epsilon-e-3827
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-3827
Additional ID:
Type of IDID
DOI10.1016/j.dib.2016.04.029
ID Code:13880
Faculty:LTV - Fakulteten för landskapsarkitektur, trädgårds- och växtproduktionsvetenskap
Department:(LTJ, LTV) > Department of Plant Breeding (from 130101)
(LTJ, LTV) > Department of Plant Protection Biology
External funders:FORMAS
Deposited By: SLUpub Connector
Deposited On:12 Dec 2016 09:30
Metadata Last Modified:12 Dec 2016 09:31

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