Abstract

The hypervariable region I (HVRI) is persistently used to discern haplotypes, to distinguish geographic subpopulations, and to infer taxonomy in a range of organisms. Numerous studies have highlighted greater heterogeneity elsewhere in the mitochondrial DNA control region, however–particularly, in some species, in other understudied hypervariable regions. To assess the abundance and utility of such potential variations in orang-utans, we characterised 36 complete control-region haplotypes, of which 13 were of Sumatran and 23 of Bornean maternal ancestry, and compared polymorphisms within these and within shorter HVRI segments predominantly analysed in prior phylogenetic studies of Sumatran (~385 bp) and Bornean (~323 bp) orang-utans. We amplified the complete control region in a single PCR that proved successful even with highly degraded, non-invasive samples. By using species-specific primers to produce a single large amplicon (~1600 bp) comprising flanking coding regions, our method also serves to better avoid amplification of nuclear mitochondrial insertions (numts). We found the number, length and position of hypervariable regions is inconsistent between orang-utan species, and that prior definitions of the HVRI were haphazard. Polymorphisms occurring outside the predominantly analysed segments were phylogeographically informative in isolation, and could be used to assign haplotypes to comparable clades concordant with geographic subpopulations. The predominantly analysed segments could discern only up to 76% of all haplotypes, highlighting the forensic utility of complete control-region sequences. In the face of declining sequencing costs and our proven application to poor-quality DNA extracts, we see no reason to ever amplify only specific ‘hypervariable regions’ in any taxa, particularly as their lengths and positions are inconsistent and cannot be reliably defined–yet this strategy predominates widely. Given their greater utility and consistency, we instead advocate analysis of complete control-region sequences in future studies, where any shorter segment might otherwise have proven the region of choice.

Highlights

  • Maternal inheritance, large copy number, and high replication and mutation rates render mitochondrial DNA especially advantageous in studies of population genetics [1]

  • The Hypervariable Region I (HVRI) has been chosen in countless taxa to infer species, subspecies and geographic subpopulations (e.g. [16]); to determine the origins of trafficked wildlife (e.g. [17,18,19]); to trace the provenance of confiscated wildlife parts (e.g. [20,21,22]) and to identify endangered species unlawfully sold for consumption (e.g. [23])

  • We were unable to amplify even short segments of the purported HVRI [46] using the initial DNA extracts: the DNA was either of sufficient quality for complete control-region amplification, or entirely insufficient for amplification at all

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Summary

Introduction

Maternal inheritance, large copy number, and high replication and mutation rates render mitochondrial DNA (mtDNA) especially advantageous in studies of population genetics [1]. Variable blocks may evolve four to five times faster in the control region than elsewhere in the mtDNA molecule [11,12], probably due to preferential mutational hotspots [13] Much of this variation is concentrated within a short segment in the left domain of the control region, commonly termed the Hypervariable Region I (HVRI) [11,14]. Given its increased and concentrated abundance of mutations, the HVRI is arguably the most commonly used mitochondrial marker in phylogenetic studies, even in the face of DNA barcoding, which typically relies on coding markers (e.g. cytochrome oxidase I) that are largely conserved within species [15]. The HVRI has been chosen in countless taxa to infer species, subspecies and geographic subpopulations (e.g. [16]); to determine the origins of trafficked wildlife (e.g. [17,18,19]); to trace the provenance of confiscated wildlife parts (e.g. [20,21,22]) and to identify endangered species unlawfully sold for consumption (e.g. [23])

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Conclusion

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