Evidence map›Paper›PMID 29892901›Full record

ArticleGenes & genomics2018

Deciphering signature of selection affecting beef quality traits in Angus cattle.

Mengistie Taye, Joon Yoon, Tadelle Dessie, Seoae Cho, Sung Jong Oh, Hak-Kyo Lee, Heebal Kim

Abstract read
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In one paragraph

Article in Genes & genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 44 citations in OpenAlex.

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  20. A Deletion Downstream of theAnimals : an open access journal from MDPI · 2020
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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

7 authors at 5 institutions in 4 countries.

Mengistie TayeDepartment of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea.
Joon YoonDepartment of Natural Science, Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
Tadelle DessieInternational Livestock Research Institute (ILRI), P. O. Box 5689, Addis Ababa, Ethiopia.
Seoae ChoC&K Genomics, C-1008, Hbusinesspark, 26, Beobwon-ro 9-gil, Songpa-gu, Seoul, Republic of Korea.
Sung Jong OhNational Institute of Animal Science, RDA, Wanju, Republic of Korea.
Hak-Kyo LeeThe Animal Molecular Genetics & Breeding Center, Department of Animal Biotechnology, Chonbuk National University, Jeonju, 561-756, Republic of Korea.
Heebal KimDepartment of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea. heebal@snu.ac.kr.ORCID 0000-0003-3064-1303
Seoul National University · KRCrystalGenomics (South Korea) · KRJeonbuk National University · KRNational Institute of Animal Science · KRShinshu University · JP

Funding

Rural Development Administration PJ01134905
6 · The paper itself

Abstract

Artificial selection towards a desired phenotype/trait has modified the genomes of livestock dramatically that generated breeds that greatly differ in morphology, production and environmental adaptation traits. Angus cattle are among the famous cattle breeds developed for superior beef quality. This paper aimed at exploring genomic regions under selection in Angus cattle that are associated with meat quality traits and other associated phenotypes. The whole genome of 10 Angus cattle was compared with 11 Hanwoo (A-H) and 9 Jersey (A-J) cattle breeds using a cross-population composite likelihood ratio (XP-CLR) statistical method. The top 1% of the empirical distribution was taken as significant and annotated using UMD3.1. As a result, 255 and 210 genes were revealed under selection from A-H and A-J comparisons, respectively. The WebGestalt gene ontology analysis resulted in sixteen (A-H) and five (A-J) significantly enriched KEGG pathways. Several pathways associated with meat quality traits (insulin signaling, type II diabetes mellitus pathway, focal adhesion pathway, and ECM-receptor interaction), and feeding efficiency (olfactory transduction, tight junction, and metabolic pathways) were enriched. Genes affecting beef quality traits (e.g., FABP3, FTO, DGAT2, ACS, ACAA2, CPE, TNNI1), stature and body size (e.g., PLAG1, LYN, CHCHD7, RPS20), fertility and dystocia (e.g., ESR1, RPS20, PPP2R1A, GHRL, PLAG1), feeding efficiency (e.g., PIK3CD, DNAJC28, DNAJC3, GHRL, PLAG1), coat color (e.g., MC1-R) and genetic disorders (e.g., ITGB6, PLAG1) were found to be under positive selection in Angus cattle. The study identified genes and pathways that are related to meat quality traits and other phenotypes of Angus cattle. The findings in this study, after validation using additional or independent dataset, will provide useful information for the study of Angus cattle in particular and beef cattle in general.

Indexed as

Animal HusbandryAnimalsBiomarkersBreedingCattleGene OntologyGenomeGenomicsGenotypeMetabolic Networks and PathwaysPhenotypePhylogenyRed MeatSelection, GeneticTranscriptomeBiomarkersAngus cattleBeef qualityFeeding efficiencyKEGG pathwaysSignature of selectionXP-CLR

Identifiers

PMID29892901
OpenAlexW2756542683

What OpenQuestion holds

Textmetadata
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.