WaspBase: a genomic resource for the interactions among parasitic wasps, insect hosts and plants. (13th September 2018)

• Record Type: Journal Article
• Authors: Chen, Longfei; Lang, Kun; Bi, Shoudong; Luo, Jiapeng; Liu, Feiling; Ye, Xinhai; Xu, Jiadan; He, Kang; Li, Fei; Ye, Gongyin; Chen, Xuexin
• Is Part Of: Database. Volume 2018(2018)
• Publication Date: 2018-09-13
• Subjects: Biology -- Databases -- Periodicals; Bioinformatics -- Periodicals; 570.285
• DOI: 10.1093/database/bay081
• Languages: English
• ISSNs: 1758-0463

Abstract

Abstract: Insect pests reduce yield and cause economic losses, which are major problems in agriculture. Parasitic wasps are the natural enemies of many agricultural pests and thus have been widely used as biological control agents. Plants, phytophagous insects and parasitic wasps form a tritrophic food chain. Understanding the interactions in this tritrophic system should be helpful for developing parasitic wasps for pest control and deciphering the mechanisms of parasitism. However, the genomic resources for this tritrophic system are not well organized. Here, we describe the WaspBase, a new database that contains 573 transcriptomes of 35 parasitic wasps and the genomes of 12 parasitic wasps, 5 insect hosts and 8 plants. In addition, we identified long non-coding RNA, untranslated regions and 25 widely studied gene families from the genome and transcriptome data of these species. WaspBase provides conventional web services such as Basic Local Alignment Search Tool, search and download, together with several widely used tools such as profile hidden Markov model, Multiple Alignment using Fast Fourier Transform, automated alignment trimming and JBrowse. We also present a collection of active researchers in the field of parasitic wasps, which should be useful for constructing scientific networks in this field.