Literature DB >> 19939971

Gene expression profiling of the short-term adaptive response to acute caloric restriction in liver and adipose tissues of pigs differing in feed efficiency.

Sender Lkhagvadorj1, Long Qu, Weiguo Cai, Oliver P Couture, C Richard Barb, Gary J Hausman, Dan Nettleton, Lloyd L Anderson, Jack C M Dekkers, Christopher K Tuggle.   

Abstract

Residual feed intake (RFI) is a measure of feed efficiency, in which low RFI denotes improved feed efficiency. Caloric restriction (CR) is associated with feed efficiency in livestock species and to human health benefits, such as longevity and cancer prevention. We have developed pig lines that differ in RFI, and we are interested in identifying the genes and pathways that underlie feed efficiency. Prepubertal Yorkshire gilts with low RFI (n = 10) or high RFI (n = 10) were fed ad libitum or fed at restricted intake of 80% of maintenance energy requirements for 8 days. We measured serum metabolites and hormones and generated transcriptional profiles of liver and subcutaneous adipose tissue on these animals. Overall, 6,114 genes in fat and 305 genes in liver were differentially expressed (DE) in response to CR, and 311 genes in fat and 147 genes in liver were DE due to RFI differences. Pathway analyses of CR-induced DE genes indicated a dramatic switch to a conservation mode of energy usage by down-regulating lipogenesis and steroidogenesis in both liver and fat. Interestingly, CR altered expression of genes in immune and cell cycle/apoptotic pathways in fat, which may explain part of the CR-driven lifespan enhancement. In silico analysis of transcription factors revealed ESR1 as a putative regulator of the adaptive response to CR, as several targets of ESR1 in our DE fat genes were annotated as cell cycle/apoptosis genes. The lipid metabolic pathway was overrepresented by down-regulated genes due to both CR and low RFI. We propose a common energy conservation mechanism, which may be controlled by PPARA, PPARG, and/or CREB in both CR and feed-efficient pigs.

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Year:  2009        PMID: 19939971     DOI: 10.1152/ajpregu.00632.2009

Source DB:  PubMed          Journal:  Am J Physiol Regul Integr Comp Physiol        ISSN: 0363-6119            Impact factor:   3.619


  37 in total

1.  A Genome-Wide Association Study on Feed Efficiency Related Traits in Landrace Pigs.

Authors:  Lu Fu; Yao Jiang; Chonglong Wang; Mengran Mei; Ziwen Zhou; Yifan Jiang; Hailiang Song; Xiangdong Ding
Journal:  Front Genet       Date:  2020-07-03       Impact factor: 4.599

2.  Gene structure and spatio-temporal expression of chicken LPIN2.

Authors:  Caixia Zhang; Runzhi Wang; Wen Chen; Xiangtao Kang; Yanqun Huang; Richard Walker; Juan Mo
Journal:  Mol Biol Rep       Date:  2014-02-22       Impact factor: 2.316

3.  Transcriptomic analysis to elucidate the molecular mechanisms that underlie feed efficiency in meat-type chickens.

Authors:  Jeeyoung Lee; Arthur B Karnuah; Romdhane Rekaya; Nicholas B Anthony; Samuel E Aggrey
Journal:  Mol Genet Genomics       Date:  2015-03-18       Impact factor: 3.291

4.  Effect of feeding restriction on growth and dressing percentages in Mexican hairless pig.

Authors:  L A Rodríguez-González; W Trejo-Lizama; R H Santos-Ricalde
Journal:  Trop Anim Health Prod       Date:  2016-05-06       Impact factor: 1.559

5.  Dietary restriction attenuates the accelerated aging phenotype of Sod1(-/-) mice.

Authors:  Yiqiang Zhang; Yuji Ikeno; Alex Bokov; Jon Gelfond; Carlos Jaramillo; Hong-Mei Zhang; Yuhong Liu; Wenbo Qi; Gene Hubbard; Arlan Richardson; Holly Van Remmen
Journal:  Free Radic Biol Med       Date:  2013-02-28       Impact factor: 7.376

6.  Transcriptional assessment by microarray analysis and large-scale meta-analysis of the metabolic capacity of cardiac and skeletal muscle tissues to cope with reduced nutrient availability in Gilthead Sea Bream (Sparus aurata L.).

Authors:  Josep A Calduch-Giner; Yann Echasseriau; Diego Crespo; Daniel Baron; Josep V Planas; Patrick Prunet; Jaume Pérez-Sánchez
Journal:  Mar Biotechnol (NY)       Date:  2014-03-15       Impact factor: 3.619

7.  Copy number variations and genome-wide associations reveal putative genes and metabolic pathways involved with the feed conversion ratio in beef cattle.

Authors:  Miguel Henrique de Almeida Santana; Gerson Antônio Oliveira Junior; Aline Silva Mello Cesar; Mateus Castelani Freua; Rodrigo da Costa Gomes; Saulo da Luz E Silva; Paulo Roberto Leme; Heidge Fukumasu; Minos Esperândio Carvalho; Ricardo Vieira Ventura; Luiz Lehmann Coutinho; Haja N Kadarmideen; José Bento Sterman Ferraz
Journal:  J Appl Genet       Date:  2016-03-21       Impact factor: 3.240

Review 8.  Methods for transcriptomic analyses of the porcine host immune response: application to Salmonella infection using microarrays.

Authors:  C K Tuggle; S M D Bearson; J J Uthe; T H Huang; O P Couture; Y F Wang; D Kuhar; J K Lunney; V Honavar
Journal:  Vet Immunol Immunopathol       Date:  2010-10-14       Impact factor: 2.046

9.  Genomic Analysis Reveals Human-Mediated Introgression From European Commercial Pigs to Henan Indigenous Pigs.

Authors:  Kejun Wang; Lige Zhang; Dongdong Duan; Ruimin Qiao; Xiuling Li; Xinjian Li; Xuelei Han
Journal:  Front Genet       Date:  2021-06-18       Impact factor: 4.599

10.  Porcine tissue-specific regulatory networks derived from meta-analysis of the transcriptome.

Authors:  Dafne Pérez-Montarelo; Nicholas J Hudson; Ana I Fernández; Yuliaxis Ramayo-Caldas; Brian P Dalrymple; Antonio Reverter
Journal:  PLoS One       Date:  2012-09-26       Impact factor: 3.240

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