Literature DB >> 25586767

Expression of genes related to mitochondrial function in Nellore cattle divergently ranked on residual feed intake.

Larissa Fernanda Simielli Fonseca1, Daniele Fernanda Jovino Gimenez, Maria Eugênia Zerlotti Mercadante, Sarah Figueiredo Martins Bonilha, Jesus Aparecido Ferro, Fernando Baldi, Fábio Ricardo Pablos de Souza, Lucia Galvão de Albuquerque.   

Abstract

Several measures have been proposed to investigate and improve feed efficiency in cattle. One of the most commonly used measure of feed efficiency is residual feed intake (RFI), which is estimated as the difference between actual feed intake and expected feed intake based on the animal's average live weight. This measure permits to identify and select the most efficient animals without selecting for higher mature weight. Mitochondrial function has been indicated as a major factor that influences RFI. The analysis of genes involved in mitochondrial function is therefore an alternative to identify molecular markers associated with higher feed efficiency. This study analyzed the expression of PGC1α, TFAM, UCP2 and UCP3 genes by quantitative real-time PCR in liver and muscle tissues of two groups of Nellore cattle divergently ranked on RFI values in order to evaluate the relationship of these genes with RFI. In liver tissue, higher expression of TFAM and UCP2 genes was observed in the negative RFI group. Expression of PGC1α gene did not differ significantly between the two groups, whereas UCP3 gene was not expressed in liver tissue. In muscle tissue, higher expression of TFAM gene was observed in the positive RFI group. Expression of PGC1α, UCP2 and UCP3 genes did not differ significantly between the two groups. These results suggest the use of TFAM and UCP2 as possible candidate gene markers in breeding programs designed to increase the feed efficiency of Nellore cattle.

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Year:  2015        PMID: 25586767     DOI: 10.1007/s11033-014-3801-6

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  28 in total

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Journal:  Biochim Biophys Acta       Date:  2004-12-06

3.  The relationship between mitochondrial function and residual feed intake in Angus steers.

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Journal:  J Anim Sci       Date:  2006-04       Impact factor: 3.159

4.  Association of mitochondrial function with feed efficiency within a single genetic line of male broilers.

Authors:  W Bottje; M Iqbal; Z X Tang; D Cawthon; R Okimoto; T Wing; M Cooper
Journal:  Poult Sci       Date:  2002-04       Impact factor: 3.352

Review 5.  Mitochondrial uncoupling protein 3 (UCP3) in skeletal muscle.

Authors:  N Tsuboyama-Kasaoka; O Ezaki
Journal:  Front Biosci       Date:  2001-03-01

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Journal:  Hum Mol Genet       Date:  2004-03-11       Impact factor: 6.150

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Authors:  R P Fisher; D A Clayton
Journal:  Mol Cell Biol       Date:  1988-08       Impact factor: 4.272

9.  Mitochondrial transcription factors B1 and B2 activate transcription of human mtDNA.

Authors:  Maria Falkenberg; Martina Gaspari; Anja Rantanen; Aleksandra Trifunovic; Nils-Göran Larsson; Claes M Gustafsson
Journal:  Nat Genet       Date:  2002-06-17       Impact factor: 38.330

10.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

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  7 in total

1.  Proteomic investigation of liver from beef cattle (Bos indicus) divergently ranked on residual feed intake.

Authors:  W A Baldassini; S F M Bonilha; R H Branco; J C S Vieira; P M Padilha; D P D Lanna
Journal:  Mol Biol Rep       Date:  2018-09-03       Impact factor: 2.316

2.  Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.

Authors:  Polyana C Tizioto; Luiz L Coutinho; Jared E Decker; Robert D Schnabel; Kamila O Rosa; Priscila S N Oliveira; Marcela M Souza; Gerson B Mourão; Rymer R Tullio; Amália S Chaves; Dante P D Lanna; Adhemar Zerlotini-Neto; Mauricio A Mudadu; Jeremy F Taylor; Luciana C A Regitano
Journal:  BMC Genomics       Date:  2015-03-25       Impact factor: 3.969

3.  Differences in global gene expression in muscle tissue of Nellore cattle with divergent meat tenderness.

Authors:  Larissa Fernanda Simielli Fonseca; Daniele Fernanda Jovino Gimenez; Danielly Beraldo Dos Santos Silva; Roger Barthelson; Fernando Baldi; Jesus Aparecido Ferro; Lucia Galvão Albuquerque
Journal:  BMC Genomics       Date:  2017-12-04       Impact factor: 3.969

4.  Differentially expressed mRNAs, proteins and miRNAs associated to energy metabolism in skeletal muscle of beef cattle identified for low and high residual feed intake.

Authors:  Elisa B Carvalho; Mateus P Gionbelli; Rafael T S Rodrigues; Sarah F M Bonilha; Charles J Newbold; Simone E F Guimarães; Walmir Silva; Lucas L Verardo; Fabyano F Silva; Edenio Detmann; Marcio S Duarte
Journal:  BMC Genomics       Date:  2019-06-17       Impact factor: 3.969

5.  Signatures of selection reveal candidate genes involved in economic traits and cold acclimation in five Swedish cattle breeds.

Authors:  Seyed Mohammad Ghoreishifar; Susanne Eriksson; Anna M Johansson; Majid Khansefid; Sima Moghaddaszadeh-Ahrabi; Nahid Parna; Pourya Davoudi; Arash Javanmard
Journal:  Genet Sel Evol       Date:  2020-09-04       Impact factor: 4.297

6.  Factors affecting expression and transcription of uncoupling protein 2 gene.

Authors:  Doo Hyun Kim; Hiroyuki Sadakane; Yuka Nishikiori; Manami Matsumura; Mayuko Ikeda; Zhicheng Diao; Rajesh Jha; Masaru Murakami; Tohru Matsui; Masayuki Funaba
Journal:  J Vet Med Sci       Date:  2020-11-07       Impact factor: 1.267

7.  RNA-Seq Meta-analysis identifies genes in skeletal muscle associated with gain and intake across a multi-season study of crossbred beef steers.

Authors:  Brittney N Keel; Christina M Zarek; John W Keele; Larry A Kuehn; Warren M Snelling; William T Oliver; Harvey C Freetly; Amanda K Lindholm-Perry
Journal:  BMC Genomics       Date:  2018-06-04       Impact factor: 3.969

  7 in total

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