cDNA characterization and expression analysis of two arylphorin-like hexameric protein genes from the diamondback moth, Plutella xylostella (L.)

cDNA cloning and transcriptional expression profiles of a hexamerin in the oriental fruit fly, Bactrocera dorsalis

A Bactrocera dorsalis hexamerin (BdAr) cDNA was cloned (GenBank accession no. KF815528), and its transcriptional expression profiles were determined. The complete 2,530-bp cDNA encodes a 780-amino acid protein with a predicted molecular mass of 94.01 kDa. The proportions of phenylalanine (7.8%), tyrosine (11.2%), and methionine (2.6%) in BdAr as well as all other amino acids are reported. BdAr transcripts were detected in the brain, flight muscle, foregut, Malpighian tubules, and fat body. In the larval stage, BdAr transcripts were expressed in the early third instar and increased in the late third instar. In pupae, the highest expression of BdAr mRNA was present on day 1, then declined and persisted through day 2 to day 8. In adult females, the relative expression of BdAr was significantly higher on day 0 and day 1 compared to day 6 to day 10 while it was highest in newly eclosed adult males. The comparison of the BdAr expression between 8-10-day-old males and females showed a higher level in females. Our phylogenetic analysis results suggest to us that BdAr is similar to Drosophila larval serum protein 1γ.

KONAGAbase: a genomic and transcriptomic database for the diamondback moth, Plutella xylostella

Background

The diamondback moth (DBM), Plutella xylostella, is one of the most harmful insect pests for crucifer crops worldwide. DBM has rapidly evolved high resistance to most conventional insecticides such as pyrethroids, organophosphates, fipronil, spinosad, Bacillus thuringiensis, and diamides. Therefore, it is important to develop genomic and transcriptomic DBM resources for analysis of genes related to insecticide resistance, both to clarify the mechanism of resistance of DBM and to facilitate the development of insecticides with a novel mode of action for more effective and environmentally less harmful insecticide rotation. To contribute to this goal, we developed KONAGAbase, a genomic and transcriptomic database for DBM (KONAGA is the Japanese word for DBM).

Description

KONAGAbase provides (1) transcriptomic sequences of 37,340 ESTs/mRNAs and 147,370 RNA-seq contigs which were clustered and assembled into 84,570 unigenes (30,695 contigs, 50,548 pseudo singletons, and 3,327 singletons); and (2) genomic sequences of 88,530 WGS contigs with 246,244 degenerate contigs and 106,455 singletons from which 6,310 de novo identified repeat sequences and 34,890 predicted gene-coding sequences were extracted. The unigenes and predicted gene-coding sequences were clustered and 32,800 representative sequences were extracted as a comprehensive putative gene set. These sequences were annotated with BLAST descriptions, Gene Ontology (GO) terms, and Pfam descriptions, respectively. KONAGAbase contains rich graphical user interface (GUI)-based web interfaces for easy and efficient searching, browsing, and downloading sequences and annotation data. Five useful search interfaces consisting of BLAST search, keyword search, BLAST result-based search, GO tree-based search, and genome browser are provided. KONAGAbase is publicly available from our website (http://dbm.dna.affrc.go.jp/px/) through standard web browsers.

Conclusions

KONAGAbase provides DBM comprehensive transcriptomic and draft genomic sequences with useful annotation information with easy-to-use web interfaces, which helps researchers to efficiently search for target sequences such as insect resistance-related genes. KONAGAbase will be continuously updated and additional genomic/transcriptomic resources and analysis tools will be provided for further efficient analysis of the mechanism of insecticide resistance and the development of effective insecticides with a novel mode of action for DBM.