Precise annotation of tick mitochondrial genomes reveals multiple STR variation and one transposon-like element

Abstract

AbstractIn this study, we used long-PCR amplification combined with Next-Generation Sequencing (NGS) to obtain complete mitochondrial genomes of individual ticks and performed precise annotation of these genomes. These annotations were confirmed by the PacBio full-length transcriptome data to cover both entire strands of the mitochondrial genomes without any gaps or overlaps. Based on these annotations, most of our findings were consistent with those from previous studies. Moreover, two important findings were reported for the first time, contributing fundamental knowledge to mitochondrial biology. The first was the discovery of a transposon-like element that may reveal the mechanisms of mitochondrial gene order rearrangement and genomic structural variation. Another finding was that Short Tandem Repeat (STRs) are the dominant variation type causing mitochondrial sequence diversity within an individual tick, insect, mouse and human. Comparisons between interindividual and intraindividual variation showed that polynucleotides and STRs with longer repeat units had the same variation pattern. Particularly, mitochondria containing deleterious mutations can accumulate in cells and deleterious STR mutations irreversibly change the proteins made from their mRNAs. Therefore, we proposed that deleterious STR mutations in mitochondria cause aging and diseases. This finding helped to ultimately reveal the mechanisms of mitochondrial DNA variation and its consequences (e.g., aging and diseases) in animals. Our study will give rise to the reconsideration of the importance of STRs and a unified study of STR variation with longer and shorter repeat units (particularly polynucleotides) in both nuclear and mitochondrial genomes. The complete mitochondrial genome sequence of Dermacentor silvarum is available at the NCBI GenBank database under the accession number MN347015 and the raw data is available at the NCBI SRA database under the accession number SRP178347.