Evidence map›Paper›PMID 30606113›Full record

ArticleBMC genomics2019

Genetic control of longissimus dorsi muscle gene expression variation and joint analysis with phenotypic quantitative trait loci in pigs.

Deborah Velez-Irizarry, Sebastian Casiro, Kaitlyn R Daza, Ronald O Bates, Nancy E Raney, Juan P Steibel, Catherine W Ernst

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
8.8field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
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  5. SNP-Based and Kmer-Based eQTL Analysis Using Transcriptome Data.Animals : an open access journal from MDPI · 2024
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  14. Emerging issues in genomic selection.Journal of animal science · 2021
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  19. Genome-Wide Association Analysis IdentifiedAnimals : 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 1 institution in 1 country.

Deborah Velez-IrizarryDepartment of Animal Science, Michigan State University, East Lansing, MI, 48824, USA.
Sebastian CasiroDepartment of Animal Science, Michigan State University, East Lansing, MI, 48824, USA.
Kaitlyn R DazaDepartment of Animal Science, Michigan State University, East Lansing, MI, 48824, USA.
Ronald O BatesDepartment of Animal Science, Michigan State University, East Lansing, MI, 48824, USA.
Nancy E RaneyDepartment of Animal Science, Michigan State University, East Lansing, MI, 48824, USA.
Juan P SteibelDepartment of Animal Science, Michigan State University, East Lansing, MI, 48824, USA.
Catherine W ErnstDepartment of Animal Science, Michigan State University, East Lansing, MI, 48824, USA. ernstc@msu.edu.ORCID http://orcid.org/0000-0003-2833-0995
Michigan State University · US

Funding

National Institute of Food and Agriculture 2012-38420-30199National Institute of Food and Agriculture 2014-67015-21619
6 · The paper itself

Abstract

backgroundEconomically important growth and meat quality traits in pigs are controlled by cascading molecular events occurring during development and continuing throughout the conversion of muscle to meat. However, little is known about the genes and molecular mechanisms involved in this process. Evaluating transcriptomic profiles of skeletal muscle during the initial steps leading to the conversion of muscle to meat can identify key regulators of polygenic phenotypes. In addition, mapping transcript abundance through genome-wide association analysis using high-density marker genotypes allows identification of genomic regions that control gene expression, referred to as expression quantitative trait loci (eQTL). In this study, we perform eQTL analyses to identify potential candidate genes and molecular markers regulating growth and meat quality traits in pigs.

resultsMessenger RNA transcripts obtained with RNA-seq of longissimus dorsi muscle from 168 F2 animals from a Duroc x Pietrain pig resource population were used to estimate gene expression variation subject to genetic control by mapping eQTL. A total of 339 eQTL were mapped (FDR ≤ 0.01) with 191 exhibiting local-acting regulation. Joint analysis of eQTL with phenotypic QTL (pQTL) segregating in our population revealed 16 genes significantly associated with 21 pQTL for meat quality, carcass composition and growth traits. Ten of these pQTL were for meat quality phenotypes that co-localized with one eQTL on SSC2 (8.8-Mb region) and 11 eQTL on SSC15 (121-Mb region). Biological processes identified for co-localized eQTL genes include calcium signaling (FERM, MRLN, PKP2 and CHRNA9), energy metabolism (SUCLG2 and PFKFB3) and redox hemostasis (NQO1 and CEP128), and results support an important role for activation of the PI3K-Akt-mTOR signaling pathway during the initial conversion of muscle to meat.

conclusionCo-localization of eQTL with pQTL identified molecular markers significantly associated with both economically important phenotypes and gene transcript abundance. This study reveals candidate genes contributing to variation in pig production traits, and provides new knowledge regarding the genetic architecture of meat quality phenotypes.

Indexed as

Genome-Wide Association StudyAnimalsGene Expression RegulationGenotypeMeatMuscle, SkeletalPolymorphism, Single NucleotideQuantitative Trait LociSwineTranscriptomeeQTLPigRNA-SeqSkeletal muscleTranscriptome

Identifiers

PMID30606113
PMCPMC6319002
OpenAlexW2907267190

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.