Evidence map›Paper›PMID 34139991›Full record

ArticleGenetics, selection, evolution : GSE2021

Genotype-by-environment interactions for reproduction, body composition, and growth traits in maternal-line pigs based on single-step genomic reaction norms.

Shi-Yi Chen, Pedro H F Freitas, Hinayah R Oliveira, Sirlene F Lázaro, Yi Jian Huang, Jeremy T Howard, Youping Gu, Allan P Schinckel, Luiz F Brito

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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  10. Effect of SNPs on Litter Size in Swine.Current issues in molecular biology · 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

9 authors at 1 institution in 4 countries.

Shi-Yi ChenDepartment of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Pedro H F FreitasDepartment of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Hinayah R OliveiraDepartment of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Sirlene F LázaroDepartment of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Yi Jian HuangSmithfield Premium Genetics, Rose Hill, NC, USA.
Jeremy T HowardSmithfield Premium Genetics, Rose Hill, NC, USA.
Youping GuSmithfield Premium Genetics, Rose Hill, NC, USA.
Allan P SchinckelDepartment of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Luiz F BritoDepartment of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA. britol@purdue.edu.ORCID http://orcid.org/0000-0002-5819-0922
Purdue University West Lafayette · US

Funding

National Institute of Food and Agriculture 2020-67015-31575
6 · The paper itself

Abstract

backgroundThere is an increasing need to account for genotype-by-environment (G × E) interactions in livestock breeding programs to improve productivity and animal welfare across environmental and management conditions. This is even more relevant for pigs because selection occurs in high-health nucleus farms, while commercial pigs are raised in more challenging environments. In this study, we used single-step homoscedastic and heteroscedastic genomic reaction norm models (RNM) to evaluate G × E interactions in Large White pigs, including 8686 genotyped animals, for reproduction (total number of piglets born, TNB; total number of piglets born alive, NBA; total number of piglets weaned, NW), growth (weaning weight, WW; off-test weight, OW), and body composition (ultrasound muscle depth, MD; ultrasound backfat thickness, BF) traits. Genetic parameter estimation and single-step genome-wide association studies (ssGWAS) were performed for each trait.

resultsThe average performance of contemporary groups (CG) was estimated and used as environmental gradient in the reaction norm analyses. We found that the need to consider heterogeneous residual variance in RNM models was trait dependent. Based on estimates of variance components of the RNM slope and of genetic correlations across environmental gradients, G × E interactions clearly existed for TNB and NBA, existed for WW but were of smaller magnitude, and were not detected for NW, OW, MD, and BF. Based on estimates of the genetic variance explained by the markers in sliding genomic windows in ssGWAS, several genomic regions were associated with the RNM slope for TNB, NBA, and WW, indicating specific biological mechanisms underlying environmental sensitivity, and dozens of novel candidate genes were identified. Our results also provided strong evidence that the X chromosome contributed to the intercept and slope of RNM for litter size traits in pigs.

conclusionsWe provide a comprehensive description of G × E interactions in Large White pigs for economically-relevant traits and identified important genomic regions and candidate genes associated with GxE interactions on several autosomes and the X chromosome. Implementation of these findings will contribute to more accurate genomic estimates of breeding values by considering G × E interactions, in order to genetically improve the environmental robustness of maternal-line pigs.

Indexed as

Gene-Environment InteractionMaternal InheritanceAnimalsBody CompositionFemaleMaleModels, GeneticQuantitative Trait, HeritableReproductionSwineWeight Gain

Identifiers

PMID34139991
PMCPMC8212483
OpenAlexW3171967846

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.