Evidence map›Paper›PMID 29720080›Full record

ArticleGenetics, selection, evolution : GSE2018

Genome-wide scan reveals population stratification and footprints of recent selection in Nelore cattle.

Diercles F Cardoso, Lucia Galvão de Albuquerque, Christian Reimer, Saber Qanbari, Malena Erbe, André V do Nascimento, Guilherme C Venturini, Daiane C Becker Scalez, Fernando Baldi, Gregório M Ferreira de Camargo and 4 more

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

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  6. Analysis of Runs of Homozygosity in Aberdeen Angus Cattle.Animals : an open access journal from MDPI · 2024
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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

14 authors.

Diercles F CardosoDepartment of Animal Science, Faculty of Agrarian and Veterinary Sciences, Sao Paulo State University, Jaboticabal, SP, Brazil. diercles.cardoso@yahoo.com.br.
Lucia Galvão de AlbuquerqueDepartment of Animal Science, Faculty of Agrarian and Veterinary Sciences, Sao Paulo State University, Jaboticabal, SP, Brazil.
Christian ReimerAnimal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, Goettingen, Germany.
Saber QanbariAnimal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, Goettingen, Germany.
Malena ErbeAnimal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, Goettingen, Germany.
André V do NascimentoDepartment of Animal Science, Faculty of Agrarian and Veterinary Sciences, Sao Paulo State University, Jaboticabal, SP, Brazil.
Guilherme C VenturiniDepartment of Animal Science, Faculty of Agrarian and Veterinary Sciences, Sao Paulo State University, Jaboticabal, SP, Brazil.
Daiane C Becker ScalezDepartment of Animal Science, Faculty of Agrarian and Veterinary Sciences, Sao Paulo State University, Jaboticabal, SP, Brazil.
Fernando BaldiDepartment of Animal Science, Faculty of Agrarian and Veterinary Sciences, Sao Paulo State University, Jaboticabal, SP, Brazil.
Gregório M Ferreira de CamargoDepartment of Animal Science, Faculty of Agrarian and Veterinary Sciences, Sao Paulo State University, Jaboticabal, SP, Brazil.
Maria E Zerlotti MercadanteNational Counsel of Technological and Scientific Development (CNPq), Brasília, DF, Brazil.
Joslaine N do Santos Gonçalves CyrilloAPTA Beef Cattle Center, Institute of Animal Science, Sertãozinho, SP, Brazil.
Henner SimianerAnimal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, Goettingen, Germany.
Humberto TonhatiDepartment of Animal Science, Faculty of Agrarian and Veterinary Sciences, Sao Paulo State University, Jaboticabal, SP, Brazil.

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo (BR) 2012/24600-4
6 · The paper itself

Abstract

backgroundThis study aimed at (1) assessing the genomic stratification of experimental lines of Nelore cattle that have experienced different selection regimes for growth traits, and (2) identifying genomic regions that have undergone recent selection. We used a sample of 763 animals genotyped with the Illumina BovineHD BeadChip, among which 674 animals originated from two lines that are maintained under directional selection for increased yearling body weight and 89 animals from a control line that is maintained under stabilizing selection.

resultsMultidimensional analysis of the genomic dissimilarity matrix and admixture analysis revealed a substantial level of population stratification between the directional selection lines and the stabilizing selection control line. Two of the three tests used to detect selection signatures (F

conclusionsThe current study identified genetic stratification that resulted from almost four decades of divergent selection in an experimental Nelore population, and highlighted autosomal genomic regions that present patterns of recent selection. Our findings provide a basis for a better understanding of the metabolic mechanism that underlies the growth traits, which are modified by selection for yearling body weight.

Indexed as

Polymorphism, Single NucleotideSelection, GeneticAnimalsBreedingCattleDNA FingerprintingEnergy MetabolismFemaleGenotypeGrowthHaplotypesMalePhenotypeQuantitative Trait LociWhole Genome Sequencing

Identifiers

PMID29720080
PMCPMC5930444

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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.