Evidence map›Paper›PMID 36288367›Full record

ArticlePloS one2022

Integrative QTL mapping and selection signatures in Groningen White Headed cattle inferred from whole-genome sequences.

Rayner Gonzalez-Prendes, Catarina Ginja, Juha Kantanen, Nasser Ghanem, Donald R Kugonza, Mahlako L Makgahlela, Martien A M Groenen, Richard P M A Crooijmans

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 6 institutions in 6 countries.

Rayner Gonzalez-PrendesAnimal Breeding and Genomics, Wageningen University & Research, Wageningen, The Netherlands.ORCID 0000-0003-3679-4685
Catarina GinjaBIOPOLIS/CIBIO/ InBIO, Research Center in Biodiversity and Genetic Resources, University of Porto, Vairão, Portugal.
Juha KantanenNatural Resources Institute Finland, Jokioinen, Finland.ORCID 0000-0001-6350-6373
Nasser GhanemAnimal Production Department, Faculty of Agriculture, Cairo University, Giza, Egypt.ORCID 0000-0002-0480-0959
Donald R KugonzaDepartment of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0002-4873-6637
Mahlako L MakgahlelaAgricultural Research Council-Animal Production Institute, Irene, South Africa.
Martien A M GroenenAnimal Breeding and Genomics, Wageningen University & Research, Wageningen, The Netherlands.ORCID 0000-0003-0484-4545
Richard P M A CrooijmansAnimal Breeding and Genomics, Wageningen University & Research, Wageningen, The Netherlands.
Wageningen University & Research · NLCairo University · EGMakerere University · UGNatural Resources Institute Finland · FIUniversidade do Porto · PTUniversity of the Free State · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we aimed to identify and characterize genomic regions that differ between Groningen White Headed (GWH) breed and other cattle, and in particular to identify candidate genes associated with coat color and/or eye-protective phenotypes. Firstly, whole genome sequences of 170 animals from eight breeds were used to evaluate the genetic structure of the GWH in relation to other cattle breeds by carrying out principal components and model-based clustering analyses. Secondly, the candidate genomic regions were identified by integrating the findings from: a) a genome-wide association study using GWH, other white headed breeds (Hereford and Simmental), and breeds with a non-white headed phenotype (Dutch Friesian, Deep Red, Meuse-Rhine-Yssel, Dutch Belted, and Holstein Friesian); b) scans for specific signatures of selection in GWH cattle by comparison with four other Dutch traditional breeds (Dutch Friesian, Deep Red, Meuse-Rhine-Yssel and Dutch Belted) and the commercial Holstein Friesian; and c) detection of candidate genes identified via these approaches. The alignment of the filtered reads to the reference genome (ARS-UCD1.2) resulted in a mean depth of coverage of 8.7X. After variant calling, the lowest number of breed-specific variants was detected in Holstein Friesian (148,213), and the largest in Deep Red (558,909). By integrating the results, we identified five genomic regions under selection on BTA4 (70.2-71.3 Mb), BTA5 (10.0-19.7 Mb), BTA20 (10.0-19.9 and 20.0-22.7 Mb), and BTA25 (0.5-9.2 Mb). These regions contain positional and functional candidate genes associated with retinal degeneration (e.g., CWC27 and CLUAP1), ultraviolet protection (e.g., ERCC8), and pigmentation (e.g. PDE4D) which are probably associated with the GWH specific pigmentation and/or eye-protective phenotypes, e.g. Ambilateral Circumocular Pigmentation (ACOP). Our results will assist in characterizing the molecular basis of GWH phenotypes and the biological implications of its adaptation.

Indexed as

GenomeGenome-Wide Association StudyAnimalsCattleChromosome MappingGenomicsPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID36288367
PMCPMC9605288
OpenAlexW4307348089

What Socratic 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 Socratic graph.