The nearly complete mitogenome of the Southeast Asian firefly Pteroptyx tener (Coleoptera: Lampyridae).
S ChengMohd Noor Mat IsaI S SapianS F IshakPublished in: Molecular biology reports (2021)
The estuarine firefly, Pteroptyx tener, aggregates in the thousands in mangrove trees lining tidal rivers in Southeast Asia where they engage one another in a nocturnal, pre-mating ritual of synchronised courtship flashes. Unfortunately, populations of the species by virtue of being restricted to isolated estuarine rivers systems in the region, are at risk of genetic isolation. Because of this concern we undertook the task of sequencing and characterising the mitochondrial DNA genome of P. tener, as the first step towards helping us to characterise and better understand their genetic diversity. We sequenced and assembled the mitochondrial DNA genome of P. tener from two male and female specimens from the district of Kuala Selangor in Peninsular Malaysia and announce the molecules in this publication. We also reconstructed the phylogenetic trees of all available lampyrids mitogenomes and suggest the need to re-examine our current understanding of their classification which have largely been based on morphological data and the cox1 gene. Separately, our analysis of codon usage patterns among lampyrid mitogenomes showed that the codon usage in a majority of the protein-coding genes were non-neutral. Codon usage patterns between mitogenome sequences of P. tener were, however, largely neutral. Our findings demonstrate the usefulness of mitochondrial genes/mitogenomes for analysing both inter- and intra- specific variation in the Lampyridae to aid in species discovery in this highly variable genus; and elucidate the phylogenetic relationships of Pteroptyx spp. from the region.
Keyphrases
- mitochondrial dna
- genetic diversity
- copy number
- genome wide
- dna methylation
- genome wide identification
- south africa
- machine learning
- obstructive sleep apnea
- blood pressure
- single cell
- high throughput
- electronic health record
- big data
- bioinformatics analysis
- sleep quality
- depressive symptoms
- amino acid
- physical activity
- artificial intelligence
- sleep apnea