Evidence map›Paper›PMID 35135873›Full record

ArticleGenome research2022

Whole-genome resequencing of temporally stratified samples reveals substantial loss of haplotype diversity in the highly inbred Scandinavian wolf population.

Agnese Viluma, Øystein Flagstad, Mikael Åkesson, Camilla Wikenros, Håkan Sand, Petter Wabakken, Hans Ellegren

Abstract read
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Article in Genome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Tracking haplotypes to quantify genome erosion.Nature reviews. Genetics · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Agnese VilumaDepartment of Evolutionary Biology, Uppsala University, SE-752 36 Uppsala, Sweden.ORCID 0000-0003-3388-5020
Øystein FlagstadNorwegian Institute for Nature Research (NINA), Torgard, NO-7485, Trondheim, Norway.
Mikael ÅkessonDepartment of Ecology, Swedish University of Agricultural Sciences, SE-739 93 Riddarhyttan, Sweden.
Camilla WikenrosDepartment of Ecology, Swedish University of Agricultural Sciences, SE-739 93 Riddarhyttan, Sweden.
Håkan SandDepartment of Ecology, Swedish University of Agricultural Sciences, SE-739 93 Riddarhyttan, Sweden.
Petter WabakkenFaculty of Applied Ecology, Agricultural Sciences and Biotechnology, Inland Norway, University of Applied Sciences, Campus Evenstad, NO-2480 Koppang, Norway.
Hans EllegrenDepartment of Evolutionary Biology, Uppsala University, SE-752 36 Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic drift can dramatically change allele frequencies in small populations and lead to reduced levels of genetic diversity, including loss of segregating variants. However, there is a shortage of quantitative studies of how genetic diversity changes over time in natural populations, especially on genome-wide scales. Here, we analyzed whole-genome sequences from 76 wolves of a highly inbred Scandinavian population, founded by only one female and two males, sampled over a period of 30 yr. We obtained chromosome-level haplotypes of all three founders and found that 10%-24% of their diploid genomes had become lost after about 20 yr of inbreeding (which approximately corresponds to five generations). Lost haplotypes spanned large genomic regions, as expected from the amount of recombination during this limited time period. Altogether, 160,000 SNP alleles became lost from the population, which may include adaptive variants as well as wild-type alleles masking recessively deleterious alleles. Although not sampled, we could indirectly infer that the two male founders had megabase-sized runs of homozygosity and that all three founders showed significant haplotype sharing, meaning that there were on average only 4.2 unique haplotypes in the six copies of each autosome that the founders brought into the population. This violates the assumption of unrelated founder haplotypes often made in conservation and management of endangered species. Our study provides a novel view of how whole-genome resequencing of temporally stratified samples can be used to visualize and directly quantify the consequences of genetic drift in a small inbred population.

Indexed as

WolvesAllelesAnimalsFemaleGene FrequencyGenetics, PopulationGenetic VariationHaplotypesInbreedingMale

Identifiers

PMID35135873
PMCPMC8896455

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.