Abstract

BackgroundScience-based wildlife management relies on genetic information to infer population connectivity and identify conservation units. The most commonly used genetic marker for characterizing animal biodiversity and identifying maternal lineages is the mitochondrial genome. Mitochondrial genotyping figures prominently in conservation and management plans, with much of the attention focused on the non-coding displacement ("D") loop. We used massively parallel multiplexed sequencing to sequence complete mitochondrial genomes from 40 fishers, a threatened carnivore that possesses low mitogenomic diversity. This allowed us to test a key assumption of conservation genetics, specifically, that the D-loop accurately reflects genealogical relationships and variation of the larger mitochondrial genome.ResultsOverall mitogenomic divergence in fishers is exceedingly low, with 66 segregating sites and an average pairwise distance between genomes of 0.00088 across their aligned length (16,290 bp). Estimates of variation and genealogical relationships from the displacement (D) loop region (299 bp) are contradicted by the complete mitochondrial genome, as well as the protein coding fraction of the mitochondrial genome. The sources of this contradiction trace primarily to the near-absence of mutations marking the D-loop region of one of the most divergent lineages, and secondarily to independent (recurrent) mutations at two nucleotide position in the D-loop amplicon.ConclusionsOur study has two important implications. First, inferred genealogical reconstructions based on the fisher D-loop region contradict inferences based on the entire mitogenome to the point that the populations of greatest conservation concern cannot be accurately resolved. Whole-genome analysis identifies Californian haplotypes from the northern-most populations as highly distinctive, with a significant excess of amino acid changes that may be indicative of molecular adaptation; D-loop sequences fail to identify this unique mitochondrial lineage. Second, the impact of recurrent mutation appears most acute in closely related haplotypes, due to the low level of evolutionary signal (unique mutations that mark lineages) relative to evolutionary noise (recurrent, shared mutation in unrelated haplotypes). For wildlife managers, this means that the populations of greatest conservation concern may be at the highest risk of being misidentified by D-loop haplotyping. This message is timely because it highlights the new opportunities for basing conservation decisions on more accurate genetic information.

Highlights

  • Science-based wildlife management relies on genetic information to infer population connectivity and identify conservation units

  • Science-based management of biodiversity relies upon genetic information to identify population connectivity, conservation units, and evaluate credible divergence dates [1]

  • The most popular single marker for characterizing animal biodiversity is the mitochondrial genome, as mitogenetic variation tracks the matrilineal component of historical genetic diversity, migration routes [2,3] the timing of divergence events [2,3,4,5], and has relevance to fitness [6,7,8]

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Summary

Introduction

Science-based wildlife management relies on genetic information to infer population connectivity and identify conservation units. We used massively parallel multiplexed sequencing to sequence complete mitochondrial genomes from 40 fishers, a threatened carnivore that possesses low mitogenomic diversity. This allowed us to test a key assumption of conservation genetics, that the D-loop accurately reflects genealogical relationships and variation of the larger mitochondrial genome. Science-based management of biodiversity relies upon genetic information to identify population connectivity, conservation units, and evaluate credible divergence dates [1]. The most popular single marker for characterizing animal biodiversity is the mitochondrial genome, as mitogenetic variation tracks the matrilineal component of historical genetic diversity, migration routes [2,3] the timing of divergence events [2,3,4,5], and has relevance to fitness [6,7,8]. Analysis of whole mitochondrial genomes makes it practical to partition variation into evolutionarily relevant categories (e. g., genic, proteins, synonymous, and replacement sites; putatively neutral, adaptive, and deleterious mutations), all of which can be used to produce highly accurate estimates of genealogy, divergence events, and possible adaptation to selective gradients [2,3,5]

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