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Population genomics of the critically endangered kākāpō

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TLDR
The first genome-wide analyses of the species are reported, including a high-quality genome assembly for kākāpō, one of the first chromosome-level reference genomes sequenced by the Vertebrate Genomes Project (VGP).
Abstract
Summary The kākāpō is a flightless parrot endemic to New Zealand. Once common in the archipelago, only 201 individuals remain today, most of them descending from an isolated island population. We report the first genome-wide analyses of the species, including a high-quality genome assembly for kākāpō, one of the first chromosome-level reference genomes sequenced by the Vertebrate Genomes Project (VGP). We also sequenced and analyzed 35 modern genomes from the sole surviving island population and 14 genomes from the extinct mainland population. While theory suggests that such a small population is likely to have accumulated deleterious mutations through genetic drift, our analyses on the impact of the long-term small population size in kākāpō indicate that present-day island kākāpō have a reduced number of harmful mutations compared to mainland individuals. We hypothesize that this reduced mutational load is due to the island population having been subjected to a combination of genetic drift and purging of deleterious mutations, through increased inbreeding and purifying selection, since its isolation from the mainland ∼10,000 years ago. Our results provide evidence that small populations can survive even when isolated for hundreds of generations. This work provides key insights into kākāpō breeding and recovery and more generally into the application of genetic tools in conservation efforts for endangered species.

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Journal ArticleDOI

The era of reference genomes in conservation genomics.

Giulio Formenti, +134 more
TL;DR: In this article , a large-scale generation of reference genomes representing global biodiversity is discussed. But the authors focus on the large-size generation of the reference genomes and do not discuss how to generate reference genomes for the conservation genomics.
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Genetic load: genomic estimates and applications in non-model animals

TL;DR: In this paper , the authors present approaches to quantify the genetic load in whole-genome sequence data based on evolutionary conservation and annotations, and show that splitting the load into its two components -the realized load and the masked load -can improve our understanding of the population genetics of deleterious mutations.
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Reference genomes for conservation

TL;DR: High-quality reference genomes for non-model species can benefit conservation and help improve the quality of reference genomes used in science and conservation.
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Ancient and historical DNA in conservation policy.

TL;DR: In this article , the authors discuss how genetic information from ancient and historical specimens can play a central role in preserving biodiversity and highlight specific conservation policies that could incorporate such data to help countries meet their CBD obligations.
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Using computational simulations to quantify genetic load and predict extinction risk

TL;DR: Comparing modern simulation tools to those that have long been employed in population viability analysis, weighing the pros and cons of a ‘genomics-informed’ simulation approach, and discussing key areas for future research are compared.
References
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R Core Team
- 01 Jan 2014 - 
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