ArticleZooKeys2016
PCR primers for 30 novel gene regions in the nuclear genomes of Lepidoptera.
Article in ZooKeys, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Integration of morphologic and genetic data clarifies the evolution and species boundaries within aZooKeys · 2026Article
- Phylogeography of Two Enigmatic Sulphur Butterflies,Insects · 2023Article
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- Identification of Natural Hybrids betweenInsects · 2021Article
- A database and checklist of geometrid moths (Lepidoptera) from Colombia.Biodiversity data journal · 2021Article
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- Our love-hate relationship with DNA barcodes, the Y2K problem, and the search for next generation barcodes.AIMS genetics · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We report primer pairs for 30 new gene regions in the nuclear genomes of Lepidoptera that can be amplified using a standard PCR protocol. The new primers were tested across diverse Lepidoptera, including nonditrysians and a wide selection of ditrysians. These new gene regions give a total of 11,043 bp of DNA sequence data and they show similar variability to traditionally used nuclear gene regions in studies of Lepidoptera. We feel that a PCR-based approach still has its place in molecular systematic studies of Lepidoptera, particularly at the intrafamilial level, and our new set of primers now provides a route to generating phylogenomic datasets using traditional methods.
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