Literature DB >> 35859251

Identification of eQTLs and differential gene expression associated with fetal programming in beef cattle.

Guilherme Henrique Gebim Polizel1, Aline Silva Mello Cesar2, Roberta Cavalcante Cracco3, Arícia Christofaro Fernandes3, Gustavo Morandini Reginato4, Pedro Luiz Porfirio Xavier4, Isabela Mortari3, Édison Furlan3, Heidge Fukumasu4, Miguel Henrique de Almeida Santana3.   

Abstract

This study assessed differential gene expression and identified expression quantitative trait loci (eQTLs) from samples of Longissimus lumborum muscle from bulls at 15 months of age submitted to different prenatal nutrition. Upon confirmation of pregnancy, 126 dams were separated into three diet treatments varying the period of inclusion of energy protein supplementation (NP, PP, and FP). At calving, 63 males were genotyped with GGP LD BeadChip. The skeletal muscle of 15 bulls was sequenced (RNA-seq) at 15 months of age. The EdgeR package was used for differential gene expression and principal component analysis (PCA), and the Matrix eQTL package was used for the eQTLs analysis (R statistical). The functional enrichment analysis was performed using the MetaCore® software. No genes differentially expressed were found between treatments (FDR > 0.05); nevertheless, we found 179 cis-tag-eQTLs and 20,762 trans-tag-eQTLs (FDR < 0.05) after linkage disequilibrium analysis. The functional enrichment analysis identified terms from gene ontology related to genes associated to trans-eQTLs (FDR < 0.05) as well as metabolic pathways (> gScore). Most biological pathways and genes found had been previously associated to fetal programming. The different prenatal supplementation strategies did not impact on muscle transcriptome of bulls. Additionally, there is a link between genotype and gene expression levels related to developmental traits in Nellore cattle.
© 2022. The Author(s), under exclusive licence to Institute of Plant Genetics Polish Academy of Sciences.

Entities:  

Keywords:  Nellore; Prenatal nutrition; SNPs; Trans-eQTLs; Transcriptome; WNT family genes

Year:  2022        PMID: 35859251     DOI: 10.1007/s13353-022-00711-1

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   2.653


  47 in total

1.  Wnt regulation of chondrocyte differentiation.

Authors:  Vicki Church; Tsutomu Nohno; Claudia Linker; Christophe Marcelle; Philippa Francis-West
Journal:  J Cell Sci       Date:  2002-12-15       Impact factor: 5.285

Review 2.  Fetal programming of skeletal muscle development in ruminant animals.

Authors:  M Du; J Tong; J Zhao; K R Underwood; M Zhu; S P Ford; P W Nathanielsz
Journal:  J Anim Sci       Date:  2009-08-28       Impact factor: 3.159

3.  STAR: ultrafast universal RNA-seq aligner.

Authors:  Alexander Dobin; Carrie A Davis; Felix Schlesinger; Jorg Drenkow; Chris Zaleski; Sonali Jha; Philippe Batut; Mark Chaisson; Thomas R Gingeras
Journal:  Bioinformatics       Date:  2012-10-25       Impact factor: 6.937

4.  Effect of maternal feed restriction in dairy goats at different stages of gestation on skeletal muscle development and energy metabolism of kids at the time of births.

Authors:  Thaís C Costa; Felipe H Moura; Ranyeri O Souza; Mariana M Lopes; Marta M S Fontes; Nick V L Serão; Leticia P Sanglard; Min Du; Mateus P Gionbelli; Marcio S Duarte
Journal:  Anim Reprod Sci       Date:  2019-05-11       Impact factor: 2.145

Review 5.  New insights into the nucleophosmin/nucleoplasmin family of nuclear chaperones.

Authors:  Lindsay J Frehlick; José María Eirín-López; Juan Ausió
Journal:  Bioessays       Date:  2007-01       Impact factor: 4.345

6.  STAT1 Dissociates Adipose Tissue Inflammation From Insulin Sensitivity in Obesity.

Authors:  Aaron R Cox; Natasha Chernis; David A Bader; Pradip K Saha; Peter M Masschelin; Jessica B Felix; Robert Sharp; Zeqin Lian; Vasanta Putluri; Kimal Rajapakshe; Kang Ho Kim; Dennis T Villareal; Reina Armamento-Villareal; Huaizhu Wu; Cristian Coarfa; Nagireddy Putluri; Sean M Hartig
Journal:  Diabetes       Date:  2020-09-29       Impact factor: 9.461

7.  Calling genotypes from public RNA-sequencing data enables identification of genetic variants that affect gene-expression levels.

Authors:  Patrick Deelen; Daria V Zhernakova; Mark de Haan; Marijke van der Sijde; Marc Jan Bonder; Juha Karjalainen; K Joeri van der Velde; Kristin M Abbott; Jingyuan Fu; Cisca Wijmenga; Richard J Sinke; Morris A Swertz; Lude Franke
Journal:  Genome Med       Date:  2015-03-27       Impact factor: 11.117

8.  Developmental plasticity and human health.

Authors:  Patrick Bateson; David Barker; Timothy Clutton-Brock; Debal Deb; Bruno D'Udine; Robert A Foley; Peter Gluckman; Keith Godfrey; Tom Kirkwood; Marta Mirazón Lahr; John McNamara; Neil B Metcalfe; Patricia Monaghan; Hamish G Spencer; Sonia E Sultan
Journal:  Nature       Date:  2004-07-22       Impact factor: 49.962

9.  IKK/NF-kappaB regulates skeletal myogenesis via a signaling switch to inhibit differentiation and promote mitochondrial biogenesis.

Authors:  Nadine Bakkar; Jingxin Wang; Katherine J Ladner; Huating Wang; Jason M Dahlman; Micheal Carathers; Swarnali Acharyya; Michael A Rudnicki; Andrew D Hollenbach; Denis C Guttridge
Journal:  J Cell Biol       Date:  2008-02-25       Impact factor: 10.539

Review 10.  A future for transgenic livestock.

Authors:  John Clark; Bruce Whitelaw
Journal:  Nat Rev Genet       Date:  2003-10       Impact factor: 53.242

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.