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DBM-DB: the diamondback moth genome database.

Weiqi Tang1, Liying Yu, Weiyi He

  • 1Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China, Faculty of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China, Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou 350002, China, School of Molecular and Biomedical Science, The University of Adelaide, Adelaide SA 5005, Australia and Department of Botany, University of British Columbia, 3529-6270 University Boulevard, Vancouver, BC V6T 1Z4, Canada.

Database : the Journal of Biological Databases and Curation
|January 18, 2014
PubMed
Summary
This summary is machine-generated.

The diamondback moth Genome Database (DBM-DB) offers integrated genomic data for Plutella xylostella. This resource aids researchers in pest management through comparative genomics and gene annotation.

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Area of Science:

  • Agricultural Entomology
  • Genomics
  • Bioinformatics

Background:

  • The diamondback moth (DBM), Plutella xylostella (L.), is a significant agricultural pest globally.
  • Effective pest management strategies require a deep understanding of DBM genomics.

Purpose of the Study:

  • To establish a centralized, accessible online repository for diamondback moth genomic data.
  • To facilitate research on DBM biology, evolution, and comparative genomics.

Main Methods:

  • Development of the diamondback moth Genome Database (DBM-DB).
  • Integration of assembled transcriptome datasets from multiple DBM strains and developmental stages.
  • Inclusion of the annotated P. xylostella genome (version 2), public ESTs, and a putative gene set from KONAGbase.

Main Results:

  • DBM-DB provides comprehensive search tools and downloadable datasets.
  • The database integrates diverse genomic information, including multiple gene models for comparison.
  • It is designed for future data expansion and long-term open-access use.

Conclusions:

  • DBM-DB serves as a valuable, long-term resource for the scientific community studying diamondback moths.
  • The database supports research aimed at reducing the agricultural impact of DBM using genomic tools.