2013
DOI: 10.1111/imb.12067
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RNA‐sequencing analysis reveals abundant developmental stage‐specific and immunity‐related genes in the pollen beetle Meligethes aeneus

Abstract: The pollen beetle (Meligethes aeneus) is a major pest of oilseed rape (Brassica napus) and other cruciferous crops in Europe. Pesticide-resistant pollen beetle populations are emerging, increasing the economic impact of this species. We isolated total RNA from the larval and adult stages, the latter either naïve or immunized by injection with bacteria and yeast. High-throughput RNA sequencing (RNA-Seq) was carried out to establish a comprehensive transcriptome catalogue and to screen for developmental stage-sp… Show more

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Cited by 95 publications
(89 citation statements)
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References 102 publications
(129 reference statements)
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“…Quality control measures, including the filtering of high-quality reads based on the score given in fastq files, the removal of reads containing primer/adapter sequences, and the trimming of read length, were carried out using CLC Genomics Workbench version 6.5. The de novo transcriptome assembly was carried out using the same software by comparing an assembly with standard settings and two additional CLC-based assemblies with different parameters and then selecting the presumed optimal consensus transcriptome, as described previously (20). Any conflicts among the individual bases were resolved by voting for the base with highest frequency.…”
Section: Methodsmentioning
confidence: 99%
“…Quality control measures, including the filtering of high-quality reads based on the score given in fastq files, the removal of reads containing primer/adapter sequences, and the trimming of read length, were carried out using CLC Genomics Workbench version 6.5. The de novo transcriptome assembly was carried out using the same software by comparing an assembly with standard settings and two additional CLC-based assemblies with different parameters and then selecting the presumed optimal consensus transcriptome, as described previously (20). Any conflicts among the individual bases were resolved by voting for the base with highest frequency.…”
Section: Methodsmentioning
confidence: 99%
“…Tissue-specific transcriptome sequencing of four different mRNA pools was carried out on an Illumina HiSeq2000 Genome Analyzer platform. The transcriptome was annotated using BLAST, Gene Ontology and InterProScan searches using BLAST2GO PRO v2.6.1 (www.blast2go.de/) as described (34).…”
Section: Methodsmentioning
confidence: 99%
“…Digital gene expression analysis was carried out by using QSeq Software (DNAStar Inc.) to remap the Illumina reads from all samples (each of the replicates of all samples was mapped individually) onto the reference backbone (Manduca Official GeneSet2) and then by counting the sequences to estimate expression levels, using previously described parameters for read mapping and normalization (Vogel et al, 2014a). Biases in the sequence datasets and different transcript sizes were corrected using the RPKM algorithm (reads per kilobase of transcript per million mapped reads) to obtain correct estimates for relative expression levels.…”
Section: Digital Gene Expression Analysismentioning
confidence: 99%