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

Area of Science:

• Agricultural Entomology
• Genomics
• Bioinformatics

Background:

• Diamondback moth (DBM), Plutella xylostella, poses a significant threat to crucifer crops globally.
• DBM exhibits widespread resistance to conventional insecticides, necessitating new control methods.
• Genomic and transcriptomic resources are crucial for understanding DBM insecticide resistance and developing novel insecticides.

Purpose of the Study:

• To develop KONAGAbase, a comprehensive genomic and transcriptomic database for DBM.
• To facilitate the analysis of genes involved in insecticide resistance.
• To support the development of effective and environmentally sound insecticide rotation strategies.

Main Methods:

• Assembled 84,570 unigenes from transcriptomic data (ESTs/mRNAs and RNA-seq).
• Processed 88,530 WGS contigs for draft genomic sequences, identifying repeats and predicted genes.
• Annotated sequences with BLAST, Gene Ontology (GO) terms, and Pfam descriptions.
• Developed user-friendly web interfaces for searching, browsing, and downloading data, including BLAST and genome browser functionalities.

Main Results:

• KONAGAbase integrates extensive transcriptomic and draft genomic sequences for DBM.
• The database contains 32,800 representative sequences in a comprehensive putative gene set.
• Provided rich annotation data and intuitive search tools for efficient data retrieval.

Conclusions:

• KONAGAbase offers valuable genomic and transcriptomic resources with essential annotation for DBM research.
• The database empowers researchers to efficiently identify insecticide resistance-related genes.
• Future updates will enhance KONAGAbase with more resources and tools for advancing insecticide resistance studies and novel insecticide development.