ArticleBMC genomics2013
KONAGAbase: a genomic and transcriptomic database for the diamondback moth, Plutella xylostella.
Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 55 citations in OpenAlex.
- Two-way transcriptome approach for the identification of common gene targets across four insect orders and its validation in Oxycarenus laetus.Scientific reports · 2025Article
- A chromosome-level genome assembly of beet webworm, Loxostege sticticalis Linnaeus (Lepidoptera: Pyralidae).Scientific data · 2025Article
- Attraction and aversion of noctuid moths to fermented food sources coordinated by olfactory receptors from distinct gene families.BMC biology · 2025Article
- The genome sequence of the Diamondback Moth,Wellcome open research · 2023Article
- Whole genome sequencing of spotted stem borer, Chilo partellus, reveals multiple genes encoding enzymes for detoxification of insecticides.Functional & integrative genomics · 2022Article
- SilkBase: an integrated transcriptomic and genomic database for Bombyx mori and related species.Database : the journal of biological databases and curation · 2022Article
- Article
- InsectBase 2.0: a comprehensive gene resource for insects.Nucleic acids research · 2022Article
- Post-transcriptional regulation of insect metamorphosis and oogenesis.Cellular and molecular life sciences : CMLS · 2020Review
- An influential meal: host plant dependent transcriptional variation in the beet armyworm, Spodoptera exigua (Lepidoptera: Noctuidae).BMC genomics · 2019Article
- Genome-Wide Identification and Expression Profiling of Wnt Family Genes in the Silkworm,International journal of molecular sciences · 2019Article
- Conservation and lineage-specific rearrangements in the GOBP/PBP gene complex of distantly related ditrysian Lepidoptera.PloS one · 2018Article
- Rapid selection for resistance to diamide insecticides in Plutella xylostella via specific amino acid polymorphisms in the ryanodine receptor.Neurotoxicology · 2017Review
- Biochemical characterization of an unclassified glutathioneJournal of pesticide science · 2016Article
- InsectBase: a resource for insect genomes and transcriptomes.Nucleic acids research · 2016Article
- Insect Resistance to Bacillus thuringiensis Toxin Cry2Ab Is Conferred by Mutations in an ABC Transporter Subfamily A Protein.PLoS genetics · 2015Article
- Characterization and expression of the cytochrome P450 gene family in diamondback moth, Plutella xylostella (L.).Scientific reports · 2015Article
- Characterization and expression profiling of glutathione S-transferases in the diamondback moth, Plutella xylostella (L.).BMC genomics · 2015Article
- The endoparasitoid, Cotesia vestalis, regulates host physiology by reprogramming the neuropeptide transcriptional network.Scientific reports · 2015Article
- Identification of multiple small heat-shock protein genes in Plutella xylostella (L.) and their expression profiles in response to abiotic stresses.Cell stress & chaperones · 2015Article
Corrections and comments
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
conclusionsKONAGAbase 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.