The adaptive evolution of animals to high-elevation environments has been extensively studied in vertebrates, while few studies have focused on insects. Gynaephora species (Lepidoptera: Lymantriinae) are endemic to the Qinghai-Tibetan Plateau (QTP) and represent an important insect pest of alpine meadows. Here, we present a detailed comparative analysis of the mitochondrial genomes (mitogenomes) of two Gynaephora species inhabiting different high-elevation environments: G. alpherakii and G. menyuanensis. The results indicated that the general mitogenomic features (genome size, nucleotide composition, codon usage and secondary structures of tRNAs) were well conserved between the two species. All of mitochondrial protein-coding genes were evolving under purifying selection, suggesting that selection constraints may play a role in ensuring adequate energy production. However, a number of substitutions and indels were identified that altered the protein conformations of ATP8 and NAD1, which may be the result of adaptive evolution of the two Gynaephora species to different high-elevation environments. Levels of gene expression for nine mitochondrial genes in nine different developmental stages were significantly suppressed in G. alpherakii, which lives at the higher elevation (~4800m above sea level), suggesting that gene expression patterns could be modulated by atmospheric oxygen content and environmental temperature. These results enhance our understanding of the genetic bases for the adaptive evolution of insects endemic to the QTP.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.gene.2017.02.014DOI Listing

Publication Analysis

Top Keywords

adaptive evolution
16
gynaephora species
16
high-elevation environments
16
expression patterns
8
mitochondrial genes
8
evolution gynaephora
8
species lepidoptera
8
lepidoptera lymantriinae
8
gene expression
8
species
5

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!