Literature DB >> 35816191

EEF1A1 transcription cofactor gene polymorphism is associated with muscle gene expression and residual feed intake in Nelore cattle.

T F Cardoso1, J J Bruscadin2, J Afonso1, J Petrini3, B G N Andrade4, P S N de Oliveira2, J M Malheiros5, M I P Rocha2, A Zerlotini6, J B S Ferraz7, G B Mourão3, L L Coutinho3, L C A Regitano8.   

Abstract

Cis-acting effects of noncoding variants on gene expression and regulatory molecules constitute a significant factor for phenotypic variation in complex traits. To provide new insights into the impacts of single-nucleotide polymorphisms (SNPs) on transcription factors (TFs) and transcription cofactors (TcoF) coding genes, we carried out a multi-omic analysis to identify cis-regulatory effects of SNPs on these genes' expression in muscle and describe their association with feed efficiency-related traits in Nelore cattle. As a result, we identified one SNP, the rs137256008C > T, predicted to impact the EEF1A1 gene expression (β = 3.02; P-value = 3.51E-03) and the residual feed intake trait (β = - 3.47; P-value = 0.02). This SNP was predicted to modify transcription factor sites and overlaps with several QTL for feed efficiency traits. In addition, co-expression network analyses showed that animals containing the T allele of the rs137256008 SNP may be triggering changes in the gene network. Therefore, our analyses reinforce and contribute to a better understanding of the biological mechanisms underlying gene expression control of feed efficiency traits in bovines. The cis-regulatory SNP can be used as biomarker for feed efficiency in Nelore cattle.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Year:  2022        PMID: 35816191     DOI: 10.1007/s00335-022-09959-8

Source DB:  PubMed          Journal:  Mamm Genome        ISSN: 0938-8990            Impact factor:   3.224


  44 in total

1.  Global gene expression profiling reveals genes expressed differentially in cattle with high and low residual feed intake.

Authors:  Y Chen; C Gondro; K Quinn; R M Herd; P F Parnell; B Vanselow
Journal:  Anim Genet       Date:  2011-03-31       Impact factor: 3.169

Review 2.  Muscle as a "mediator" of systemic metabolism.

Authors:  Kedryn K Baskin; Benjamin R Winders; Eric N Olson
Journal:  Cell Metab       Date:  2015-02-03       Impact factor: 27.287

3.  Weighted single-step genome-wide association study and pathway analyses for feed efficiency traits in Nellore cattle.

Authors:  Ludmilla C Brunes; Fernando Baldi; Fernando B Lopes; Raysildo B Lôbo; Rafael Espigolan; Marcos F O Costa; Nedenia B Stafuzza; Cláudio U Magnabosco
Journal:  J Anim Breed Genet       Date:  2020-07-12       Impact factor: 2.380

4.  Putative regulatory factors associated with intramuscular fat content.

Authors:  Aline S M Cesar; Luciana C A Regitano; James E Koltes; Eric R Fritz-Waters; Dante P D Lanna; Gustavo Gasparin; Gerson B Mourão; Priscila S N Oliveira; James M Reecy; Luiz L Coutinho
Journal:  PLoS One       Date:  2015-06-04       Impact factor: 3.240

Review 5.  The eEF1A Proteins: At the Crossroads of Oncogenesis, Apoptosis, and Viral Infections.

Authors:  Wasim Abbas; Amit Kumar; Georges Herbein
Journal:  Front Oncol       Date:  2015-04-07       Impact factor: 6.244

6.  Differences in the skeletal muscle transcriptome profile associated with extreme values of fatty acids content.

Authors:  Aline S M Cesar; Luciana C A Regitano; Mirele D Poleti; Sónia C S Andrade; Polyana C Tizioto; Priscila S N Oliveira; Andrezza M Felício; Michele L do Nascimento; Amália S Chaves; Dante P D Lanna; Rymer R Tullio; Renata T Nassu; James E Koltes; Eric Fritz-Waters; Gerson B Mourão; Adhemar Zerlotini-Neto; James M Reecy; Luiz L Coutinho
Journal:  BMC Genomics       Date:  2016-11-22       Impact factor: 3.969

7.  Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits.

Authors:  Aline S M Cesar; Luciana C A Regitano; James M Reecy; Mirele D Poleti; Priscila S N Oliveira; Gabriella B de Oliveira; Gabriel C M Moreira; Maurício A Mudadu; Polyana C Tizioto; James E Koltes; Elyn Fritz-Waters; Luke Kramer; Dorian Garrick; Hamid Beiki; Ludwig Geistlinger; Gerson B Mourão; Adhemar Zerlotini; Luiz L Coutinho
Journal:  BMC Genomics       Date:  2018-06-27       Impact factor: 3.969

Review 8.  Skeletal Muscle Extracellular Matrix - What Do We Know About Its Composition, Regulation, and Physiological Roles? A Narrative Review.

Authors:  Robert Csapo; Matthias Gumpenberger; Barbara Wessner
Journal:  Front Physiol       Date:  2020-03-19       Impact factor: 4.566

Review 9.  From GWAS to Function: Using Functional Genomics to Identify the Mechanisms Underlying Complex Diseases.

Authors:  Eddie Cano-Gamez; Gosia Trynka
Journal:  Front Genet       Date:  2020-05-13       Impact factor: 4.599

10.  The transcription factors Egr1 and Egr2 have opposing influences on adipocyte differentiation.

Authors:  K B Boyle; D Hadaschik; S Virtue; W P Cawthorn; S H Ridley; S O'Rahilly; K Siddle
Journal:  Cell Death Differ       Date:  2009-02-20       Impact factor: 15.828

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