ArticleScientific reports2016
Identification of Development-Related Genes in the Ovaries of Adult Harmonia axyridis (Pallas) Lady Beetles Using a Time- Series Analysis by RNA-seq.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Transcriptomic exploration of the Coleopteran wings reveals insight into the evolution of novel structures associated with the beetle elytron.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2023Article
- Involvement of glucose transporter 4 in ovarian development and reproductive maturation of Harmonia axyridis (Coleoptera: Coccinellidae).Insect science · 2022Article
- Qualitative lysine crotonylome analysis in the ovarian tissue of Harmonia axyridis (Pallas).PloS one · 2021Article
- Molecular Cloning and Expression Analysis of Three Suppressors of Cytokine Signaling Genes (Insects · 2019Article
- Search for Nutritional Fitness Traits in a Biological Pest Control AgentFrontiers in physiology · 2019Article
- Reference gene selection for RT-qPCR analysis in Harmonia axyridis, a global invasive lady beetle.Scientific reports · 2018Article
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2 authors at 2 institutions in 1 country.
Funding
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Abstract
Adults of the lady beetle species Harmonia axyridis (Pallas) are bred artificially en masse for classic biological control, which requires egg-laying by the H. axyridis ovary. Development-related genes may impact the growth of the H. axyridis adult ovary but have not been reported. Here, we used integrative time-series RNA-seq analysis of the ovary in H. axyridis adults to detect development-related genes. A total of 28,558 unigenes were functionally annotated using seven types of databases to obtain an annotated unigene database for ovaries in H. axyridis adults. We also analysed differentially expressed genes (DEGs) between samples. Based on a combination of the results of this bioinformatics analysis with literature reports and gene expression level changes in four different stages, we focused on the development of oocyte reproductive stem cell and yolk formation process and identified 26 genes with high similarity to development-related genes. 20 DEGs were randomly chosen for quantitative real-time PCR (qRT-PCR) to validate the accuracy of the RNA-seq results. This study establishes a robust pipeline for the discovery of key genes using high-throughput sequencing and the identification of a class of development-related genes for characterization.
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