Evidence map›Paper›PMID 31841508›Full record

ArticlePLoS genetics2019

Selection signatures in goats reveal copy number variants underlying breed-defining coat color phenotypes.

Jan Henkel, Rashid Saif, Vidhya Jagannathan, Corinne Schmocker, Flurina Zeindler, Erika Bangerter, Ursula Herren, Dimitris Posantzis, Zafer Bulut, Philippe Ammann and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
6.8field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 96 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Animals : an open access journal from MDPI · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Caprine and Ovine Genomic Selection-Progress and Application.Animals : an open access journal from MDPI · 2024
    Review
  14. Article
  15. Coat colour in marsupials: genetic variants at theRoyal Society open science · 2024
    Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Genetic characterization of cashmere goat (Frontiers in genetics · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 3 countries.

Jan HenkelInstitute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland.ORCID 0000-0003-3798-5977
Rashid SaifInstitute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
Vidhya JagannathanInstitute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
Corinne SchmockerInstitute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
Flurina ZeindlerSchool of Agricultural, Forest and Food Sciences, Bern University of Applied Sciences, Zollikofen, Switzerland.
Erika BangerterSwiss Goat Breeding Association, Zollikofen, Switzerland.
Ursula HerrenSwiss Goat Breeding Association, Zollikofen, Switzerland.
Dimitris PosantzisAttica Zoological Park, Spata, Greece.
Zafer BulutDepartment of Biochemistry, Faculty of Veterinary Medicine, Selcuk University, Konya, Turkey.ORCID 0000-0003-1794-1651
Philippe AmmannProSpecieRara, Basel, Switzerland.
Cord DrögemüllerInstitute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland.ORCID 0000-0001-9773-522X
Christine FlurySchool of Agricultural, Forest and Food Sciences, Bern University of Applied Sciences, Zollikofen, Switzerland.
Tosso LeebInstitute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland.ORCID 0000-0003-0553-4880
University of Bern · CHBern University of Applied Sciences · CHAthens International Airport · GRSelçuk University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Domestication and human selection have formed diverse goat breeds with characteristic phenotypes. This process correlated with the fixation of causative genetic variants controlling breed-specific traits within regions of reduced genetic diversity, so called selection signatures or selective sweeps. Using whole genome sequencing of DNA pools (pool-seq) from 20 genetically diverse modern goat breeds and bezoars, we identified 2,239 putative selection signatures. In two Pakistani goat breeds, Pak Angora and Barbari, we found selection signatures in a region harboring KIT, a gene involved in melanoblast development, migration, and survival. The search for candidate causative variants responsible for these selective sweeps revealed two different copy number variants (CNVs) downstream of KIT that were exclusively present in white Pak Angora and white-spotted Barbari goats. Several Swiss goat breeds selected for specific coat colors showed selection signatures at the ASIP locus encoding the agouti signaling protein. Analysis of these selective sweeps revealed four different CNVs associated with the white or tan (AWt), Swiss markings (Asm), badgerface (Ab), and the newly proposed peacock (Apc) allele. RNA-seq analyses on skin samples from goats with the different CNV alleles suggest that the identified structural variants lead to an altered expression of ASIP between eumelanistic and pheomelanistic body areas. Our study yields novel insights into the genetic control of pigmentation by identifying six functionally relevant CNVs. It illustrates how structural changes of the genome have contributed to phenotypic evolution in domestic goats.

Indexed as

DNA Copy Number VariationsAnimalsAnimals, DomesticBiological EvolutionBreedingColorFemaleGoatsPhenotypeQuantitative Trait LociSequence Analysis, RNAWhole Genome Sequencing

Identifiers

PMID31841508
PMCPMC6936872
OpenAlexW2995328576

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.