De novo transcriptome assembly, annotation and SSR mining data of Hellula undalis (Fabr.) (Lepidoptera: Pyralidae), the cabbage webworm

Background

The cabbage webworm, Hellula undalis (Fabricius) (Lepidoptera: Pyralidae), is a significant pest of brassicas and other cruciferous plants in warm regions worldwide. Transcriptome analysis is valuable for investigation of molecular mechanisms underlying the insect development and reproduction. De novo assembly is particularly useful for acquiring complete transcriptome information of insect species when there is no reference genome available. In case of Hellula undalis, only 17 nucleotide records are currently available throughout NCBI nucleotide database. Genes associated with metabolic processes, general development, reproduction, defense and functional genomics were not previously predicted in the Hellula undalis at the genomic level.

Methods & Results

To address this issue, we constructed Hellula undalis transcriptome using Illumina NovaSeq6000 technology. Approximately 48 million 150 bp paired-end reads were obtained from sequencing. A total of 30,451 contigs were generated by de novo assembly of sample and were compared with the sequences in the NCBI non-redundant protein database (Nr). In total, 71 % of contigs were matched to known proteins in public databases including Nr, Gene Ontology (GO), and Cluster Orthologous Gene Database (COG), and then, contigs were mapped to 123 via functional annotation against the Kyoto Encyclopedia of Genes and Genomes pathway database (KEGG). In addition, we compared the ortholog gene family of the Hullula undalis, transcriptome to Spodoptera frugiperda, spodotera litura and spodoptera littoralis and found that 391 orthologous gene families are specific to Hullula undalis. A total of 1,913 potential SSRs was discovered in Hullula undalis contigs.

Conclusions

This study is the first transcriptome data for Hullula undalis. Additionally, it serves as a valuable resource for identifying target genes and developing effective and environmentally friendly strategies for pest control.

Loại tài liệu:

Article - Bài báo

Tác giả:

Prajapati, Malyaj R.

Đề mục:

Journal of Genetic Engineering and Biotechnology

Nhà xuất bản:

Elsevier

Ngày xuất bản:

December 2024

Số trang/ tờ:

Định dạng:

pdf

Định danh tư liệu:

DOI: https://doi.org/10.1016/j.jgeb.2024.100393 | ISSN 1687-157X

Nguồn gốc:

Journal of Genetic Engineering and Biotechnology, Volume 22, Issue 3, September 2024, 100393

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