Evidence map›Paper›PMID 37369809›Full record

ArticleScientific reports2023

Identification of candidate lethal haplotypes and genomic association with post-natal mortality and reproductive traits in Nellore cattle.

Patrícia Iana Schmidt, Lucio Flavio Macedo Mota, Larissa Fernanda Simielli Fonseca, Danielly Beraldo Dos Santos Silva, Gabriela Bonfá Frezarim, Leonardo Machestropa Arikawa, Daniel Jordan de Abreu Santos, Ana Fabrícia Braga Magalhães, John Bruce Cole, Roberto Carvalheiro and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. 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
–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

7 citing papers in PubMed.

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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

15 authors.

Patrícia Iana SchmidtAnimal Science Department, School of Agricultural and Veterinary Sciences, São Paulo State University (Unesp), Via de Acesso Paulo Donato Castellane S/N, Departamento de Zootecnia, Jaboticabal, SP, 14884-900, Brazil. pati.iana@hotmail.com.
Lucio Flavio Macedo MotaAnimal Science Department, School of Agricultural and Veterinary Sciences, São Paulo State University (Unesp), Via de Acesso Paulo Donato Castellane S/N, Departamento de Zootecnia, Jaboticabal, SP, 14884-900, Brazil.
Larissa Fernanda Simielli FonsecaAnimal Science Department, School of Agricultural and Veterinary Sciences, São Paulo State University (Unesp), Via de Acesso Paulo Donato Castellane S/N, Departamento de Zootecnia, Jaboticabal, SP, 14884-900, Brazil.
Danielly Beraldo Dos Santos SilvaAnimal Science Department, School of Agricultural and Veterinary Sciences, São Paulo State University (Unesp), Via de Acesso Paulo Donato Castellane S/N, Departamento de Zootecnia, Jaboticabal, SP, 14884-900, Brazil.
Gabriela Bonfá FrezarimAnimal Science Department, School of Agricultural and Veterinary Sciences, São Paulo State University (Unesp), Via de Acesso Paulo Donato Castellane S/N, Departamento de Zootecnia, Jaboticabal, SP, 14884-900, Brazil.
Leonardo Machestropa ArikawaAnimal Science Department, School of Agricultural and Veterinary Sciences, São Paulo State University (Unesp), Via de Acesso Paulo Donato Castellane S/N, Departamento de Zootecnia, Jaboticabal, SP, 14884-900, Brazil.
Daniel Jordan de Abreu SantosAnimal Science Department, School of Agricultural and Veterinary Sciences, São Paulo State University (Unesp), Via de Acesso Paulo Donato Castellane S/N, Departamento de Zootecnia, Jaboticabal, SP, 14884-900, Brazil.
Ana Fabrícia Braga MagalhãesAnimal Science Department, School of Agricultural and Veterinary Sciences, São Paulo State University (Unesp), Via de Acesso Paulo Donato Castellane S/N, Departamento de Zootecnia, Jaboticabal, SP, 14884-900, Brazil.
John Bruce ColeHenry A. Wallace Beltsville Agricultural Research Center, Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD, 20705-2350, USA.
Roberto CarvalheiroAnimal Science Department, School of Agricultural and Veterinary Sciences, São Paulo State University (Unesp), Via de Acesso Paulo Donato Castellane S/N, Departamento de Zootecnia, Jaboticabal, SP, 14884-900, Brazil.
Henrique Nunes de OliveiraAnimal Science Department, School of Agricultural and Veterinary Sciences, São Paulo State University (Unesp), Via de Acesso Paulo Donato Castellane S/N, Departamento de Zootecnia, Jaboticabal, SP, 14884-900, Brazil.
Daniel Jacob NullHenry A. Wallace Beltsville Agricultural Research Center, Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD, 20705-2350, USA.
Paul VanRadenHenry A. Wallace Beltsville Agricultural Research Center, Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD, 20705-2350, USA.
Li MaDepartment of Animal and Avian Sciences, University of Maryland, College Park, 20742, USA.
Lucia Galvão de AlbuquerqueAnimal Science Department, School of Agricultural and Veterinary Sciences, São Paulo State University (Unesp), Via de Acesso Paulo Donato Castellane S/N, Departamento de Zootecnia, Jaboticabal, SP, 14884-900, Brazil. galvao.albuquerque@unesp.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The wide use of genomic information has enabled the identification of lethal recessive alleles that are the major genetic causes of reduced conception rates, longer calving intervals, or lower survival for live-born animals. This study was carried out to screen the Nellore cattle genome for lethal recessive haplotypes based on deviation from the expected population homozygosity, and to test SNP markers surrounding the lethal haplotypes region for association with heifer rebreeding (HR), post-natal mortality (PNM) and stayability (STAY). This approach requires genotypes only from apparently normal individuals and not from affected embryos. A total of 62,022 animals were genotyped and imputed to a high-density panel (777,962 SNP markers). Expected numbers of homozygous individuals were calculated, and the probabilities of observing 0 homozygotes was obtained. Deregressed genomic breeding values [(G)EBVs] were used in a GWAS to identify candidate genes and biological mechanisms affecting HR, STAY and PNM. In the functional analyses, genes within 100 kb down and upstream of each significant SNP marker, were researched. Thirty haplotypes had high expected frequency, while no homozygotes were observed. Most of the alleles present in these haplotypes had a negative mean effect for PNM, HR and STAY. The GWAS revealed significant SNP markers involved in different physiological mechanisms, leading to harmful effect on the three traits. The functional analysis revealed 26 genes enriched for 19 GO terms. Most of the GO terms found for biological processes, molecular functions and pathways were related to tissue development and the immune system. More phenotypes underlying these putative regions in this population could be the subject of future investigation. Tests to find putative lethal haplotype carriers could help breeders to eliminate them from the population or manage matings in order to avoid homozygous.

Indexed as

GenomicsPolymorphism, Single NucleotideAllelesAnimalsCattleFemaleGenome-Wide Association StudyGenotypeHaplotypesPhenotype

Identifiers

PMID37369809
PMCPMC10300016

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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.