AI Article Synopsis
- A new moth species from the Erebidae family has been studied, with its mitochondrial genome fully sequenced using advanced technology in Malaysia.
- The mitogenome is 15,421 base pairs long, including 13 protein-coding genes, 22 tRNAs, and 2 rRNAs, showing a base composition skewed towards A and T nucleotides.
- The findings provide valuable data for researching the species' evolutionary relationships and assessing environmental changes in ecosystems, with the genome available on GenBank under the accession number ON165249.
Article Abstract
is a moth species from the genus a member of the Lepidoptera family, Erebidae. Due to their wide variation, this family constitutes the largest described species, however, the mitogenome dataset on the genus is scarce. Hence, the mitochondrial genome dataset of from Malaysia was completely sequenced using the next-generation sequencing technology, Illumina NovaSeq 6000 and analyzed. The mitogenome has a sequence length of 15,421 bp, consisting of 13 protein-coding genes (PCGs), 22 transfer RNAs (tRNAs), 2 ribosomal RNAs (rRNAs) and a control region. The mitogenome is + biased (80.6%), with the base composition of A (39.2%), T (41.4%), C (11.9%) and G (7.5%). Among the 13 PCGs, 12 were initiated by the standard ATN codon, except for COX1 which utilizes the CGA start codon. Two PCGs were terminated with an incomplete stop codon T, while others ended with a TAA codon. Phylogenetic tree analyses showed that the sequenced resides within the Erebinae subfamily and is closely related to (MW664367) with high bootstrap support and posterior probabilities. This dataset presented the mitogenome data of from Malaysia, which is valuable for further research of their phylogeny and the diversification of the genus. Also, this dataset can be implemented and used as references to assess environmental changes in the terrestrial ecosystem via environmental DNA approaches. The mitogenome of is available in GenBank under the accession number ON165249.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293960 | PMC |
| http://dx.doi.org/10.1016/j.dib.2023.109253 | DOI Listing |
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