Literature DB >> 35840822

Prune homolog 2 with BCH domain (PRUNE2) gene expression is associated with feed efficiency-related traits in Nelore steers.

Andressa Oliveira Lima1, Jessica Moraes Malheiros2, Juliana Afonso2, Juliana Petrini3, Luiz Lehmann Coutinho3, Wellison Jarles da Silva Diniz1, Flávia Aline Bressani2, Polyana Cristine Tizioto4, Priscila Silva Neubern de Oliveira2, Janssen Ayna Silva Ribeiro1, Karina Santos de Oliveira1, Marina Ibelli Pereira Rocha1, Bruno Gabriel Nascimento Andrade5, Heidge Fukumasu6, Hamid Beiki7, James Mark Reecy7, Adhemar Zerlotini8, Gerson Barreto Mourao3, Luciana Correia de Almeida Regitano9.   

Abstract

Animal feeding is a critical factor in increasing producer profitability. Improving feed efficiency can help reduce feeding costs and reduce the environmental impact of beef production. Candidate genes previously identified for this trait in differential gene expression studies (e.g., case-control studies) have not examined continuous gene-phenotype variation, which is a limitation. The aim of this study was to investigate the association between the expression of five candidate genes in the liver, measured by quantitative real-time PCR and feed-related traits. We adopted a linear mixed model to associate liver gene expression from 52 Nelore steers with the following production traits: average daily gain (ADG), body weight (BW), dry matter intake (DMI), feed conversion ratio (FCR), feed efficiency (FE), Kleiber index (KI), metabolic body weight (MBW), residual feed intake (RFI), and relative growth ratio (RGR). The total expression of the prune homolog 2 (PRUNE2) gene was significantly associated with DMI, FCR, FE, and RFI (P < 0.05). Furthermore, we have identified a new transcript of PRUNE2 (TCONS_00027692, GenBank MZ041267) that was inversely correlated with FCR and FE (P < 0.05), in contrast to the originally identified PRUNE2 transcript. The cytochrome P450 subfamily 2B (CYP2B6), early growth response protein 1 (EGR1), collagen type I alpha 1 chain (COL1A1), and connective tissue growth factor (CTGF) genes were not associated with any feed efficiency-related traits (P > 0.05). The findings reported herein suggest that PRUNE2 expression levels affects feed efficiency-related traits variation in Nelore steers.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Year:  2022        PMID: 35840822     DOI: 10.1007/s00335-022-09960-1

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


  40 in total

1.  The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments.

Authors:  Stephen A Bustin; Vladimir Benes; Jeremy A Garson; Jan Hellemans; Jim Huggett; Mikael Kubista; Reinhold Mueller; Tania Nolan; Michael W Pfaffl; Gregory L Shipley; Jo Vandesompele; Carl T Wittwer
Journal:  Clin Chem       Date:  2009-02-26       Impact factor: 8.327

Review 2.  Modulation of mitochondrial apoptosis by PI3K inhibitors.

Authors:  Simone Fulda
Journal:  Mitochondrion       Date:  2012-05-10       Impact factor: 4.160

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Journal:  Bioinformatics       Date:  2012-10-25       Impact factor: 6.937

4.  Elevated Apoptosis in the Liver of Dairy Cows with Ketosis.

Authors:  Xiliang Du; Liang Chen; Dan Huang; Zhicheng Peng; Chenxu Zhao; Yuming Zhang; Yiwei Zhu; Zhe Wang; Xinwei Li; Guowen Liu
Journal:  Cell Physiol Biochem       Date:  2017-09-21

5.  Expression patterns of prune2 is regulated by Notch and retinoic acid signaling pathways in the zebrafish embryogenesis.

Authors:  Mrudhula Anuppalle; Sateesh Maddirevula; Ajeet Kumar; Tae-Lin Huh; Joonho Choe; Myungchull Rhee
Journal:  Gene Expr Patterns       Date:  2017-03-11       Impact factor: 1.224

6.  qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data.

Authors:  Jan Hellemans; Geert Mortier; Anne De Paepe; Frank Speleman; Jo Vandesompele
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

7.  Identification of genomic regions associated with feed efficiency in Nelore cattle.

Authors:  Priscila S N de Oliveira; Aline S M Cesar; Michele L do Nascimento; Amália S Chaves; Polyana C Tizioto; Rymer R Tullio; Dante P D Lanna; Antonio N Rosa; Tad S Sonstegard; Gerson B Mourao; James M Reecy; Dorian J Garrick; Maurício A Mudadu; Luiz L Coutinho; Luciana C A Regitano
Journal:  BMC Genet       Date:  2014-09-26       Impact factor: 2.797

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Authors:  Robert D Finn; Teresa K Attwood; Patricia C Babbitt; Alex Bateman; Peer Bork; Alan J Bridge; Hsin-Yu Chang; Zsuzsanna Dosztányi; Sara El-Gebali; Matthew Fraser; Julian Gough; David Haft; Gemma L Holliday; Hongzhan Huang; Xiaosong Huang; Ivica Letunic; Rodrigo Lopez; Shennan Lu; Aron Marchler-Bauer; Huaiyu Mi; Jaina Mistry; Darren A Natale; Marco Necci; Gift Nuka; Christine A Orengo; Youngmi Park; Sebastien Pesseat; Damiano Piovesan; Simon C Potter; Neil D Rawlings; Nicole Redaschi; Lorna Richardson; Catherine Rivoire; Amaia Sangrador-Vegas; Christian Sigrist; Ian Sillitoe; Ben Smithers; Silvano Squizzato; Granger Sutton; Narmada Thanki; Paul D Thomas; Silvio C E Tosatto; Cathy H Wu; Ioannis Xenarios; Lai-Su Yeh; Siew-Yit Young; Alex L Mitchell
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

9.  Liver proteomics unravel the metabolic pathways related to Feed Efficiency in beef cattle.

Authors:  Leydiana D Fonseca; Joanir P Eler; Mikaele A Pereira; Alessandra F Rosa; Pâmela A Alexandre; Cristina T Moncau; Fernanda Salvato; Livia Rosa-Fernandes; Giuseppe Palmisano; José B S Ferraz; Heidge Fukumasu
Journal:  Sci Rep       Date:  2019-03-29       Impact factor: 4.379

10.  Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle.

Authors:  Pamela A Alexandre; Lisette J A Kogelman; Miguel H A Santana; Danielle Passarelli; Lidia H Pulz; Paulo Fantinato-Neto; Paulo L Silva; Paulo R Leme; Ricardo F Strefezzi; Luiz L Coutinho; José B S Ferraz; Joanie P Eler; Haja N Kadarmideen; Heidge Fukumasu
Journal:  BMC Genomics       Date:  2015-12-18       Impact factor: 3.969

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