Literature DB >> 25782841

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

Jeeyoung Lee1, Arthur B Karnuah1, Romdhane Rekaya2, Nicholas B Anthony3, Samuel E Aggrey4.   

Abstract

Feed efficiency phenotypes defined by genotypes or gene markers are unknown. To date, there are only limited studies on global gene expression profiling on feed efficiency. The objective of this study was to identify genes and pathways associated with residual feed intake (RFI) through transcriptional profiling of duodenum at two different ages in a chicken population divergently selected for low (LRFI) or high (HRFI) RFI. The global gene expression differences in LRFI and HRFI were assessed by the Affymetrix GeneChip(®) Chicken Genome Array and RT-PCR using duodenal tissue on days 35 and 42. The Ingenuity Pathway Analysis program was used to identify canonical and gene network pathways associated with RFI. A global view of gene expression differences between LRFI and HRFI suggest that RFI can be explained by differences in cell division, growth, proliferation and apoptosis, protein synthesis, lipid metabolism, and molecular transport of cellular molecules. Chickens selected for improved RFI achieve efficiency by reducing feed intake with a nominal or no change in weight gain by either up-regulating CD36, PPARα, HMGCS2, GCG or down-regulating PCSK2, CALB1, SAT1, and SGK1 genes within the lipid metabolism, small molecule biochemistry, molecular transport, cell death, and protein synthesis molecular and cellular functions. Chickens selected for reduced RFI via reduced feed intake with no change in weight gain achieve feed efficiency for growth by the up-regulation of genes that reduce appetite with increased cellular oxidative stress, prolonged cell cycle, DNA damage, and apoptosis in addition to increased oxidation of dietary fat and efficient fatty acids transported from the intestines.

Entities:  

Keywords:  Chickens; Gene network; Microarray; RT-PCR; Residual feed intake

Mesh:

Year:  2015        PMID: 25782841     DOI: 10.1007/s00438-015-1025-7

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  55 in total

1.  Localization, trafficking, and significance for acid secretion of parietal cell Kir4.1 and KCNQ1 K+ channels.

Authors:  Marc-André Kaufhold; Anja Krabbenhöft; Penghong Song; Regina Engelhardt; Brigitte Riederer; Michael Fährmann; Nikolaj Klöcker; Winfried Beil; Michael Manns; Susan J Hagen; Ursula Seidler
Journal:  Gastroenterology       Date:  2008-01-18       Impact factor: 22.682

2.  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

3.  Compromised liver mitochondrial function and complex activity in low feed efficient broilers are associated with higher oxidative stress and differential protein expression.

Authors:  M Iqbal; N R Pumford; Z X Tang; K Lassiter; C Ojano-Dirain; T Wing; M Cooper; W Bottje
Journal:  Poult Sci       Date:  2005-06       Impact factor: 3.352

Review 4.  Peroxisome proliferator-activated receptor (PPAR)-alpha: a pharmacological target with a promising future.

Authors:  Daniel H van Raalte; Min Li; P Haydn Pritchard; Kishor M Wasan
Journal:  Pharm Res       Date:  2004-09       Impact factor: 4.200

5.  Down-regulation of the mitochondrial 3-hydroxy-3-methylglutaryl-CoA synthase gene by insulin: the role of the forkhead transcription factor FKHRL1.

Authors:  Alícia Nadal; Pedro F Marrero; Diego Haro
Journal:  Biochem J       Date:  2002-08-15       Impact factor: 3.857

6.  Redistribution of calbindin-D28k in chick intestine in response to calcium transport.

Authors:  I Nemere; V L Leathers; B S Thompson; R A Luben; A W Norman
Journal:  Endocrinology       Date:  1991-12       Impact factor: 4.736

7.  TNFSF10 (TRAIL), a p53 target gene that mediates p53-dependent cell death.

Authors:  Kageaki Kuribayashi; Gabriel Krigsfeld; Wenge Wang; Jing Xu; Patrick A Mayes; David T Dicker; Gen Sheng Wu; Wafik S El-Deiry
Journal:  Cancer Biol Ther       Date:  2008-12       Impact factor: 4.742

8.  Inhibition of deoxyribonuclease I by actin is to protect cells from premature cell death.

Authors:  Dirk Eulitz; Hans Georg Mannherz
Journal:  Apoptosis       Date:  2007-08       Impact factor: 4.677

9.  Bone marrow stromal cell-derived growth inhibitor inhibits growth and migration of breast cancer cells via induction of cell cycle arrest and apoptosis.

Authors:  Tao Wang; Dajing Xia; Nan Li; Chunmei Wang; Taoyong Chen; Tao Wan; Guoyou Chen; Xuetao Cao
Journal:  J Biol Chem       Date:  2004-11-29       Impact factor: 5.486

10.  Link between intestinal CD36 ligand binding and satiety induced by a high protein diet in mice.

Authors:  Danielle Naville; Adeline Duchampt; Michèle Vigier; Delphine Oursel; René Lessire; Hélène Poirier; Isabelle Niot; Martine Bégeot; Philippe Besnard; Gilles Mithieux
Journal:  PLoS One       Date:  2012-01-25       Impact factor: 3.240

View more
  21 in total

1.  Association analysis between feed efficiency and expression of key genes of the avTOR signaling pathway in meat-type ducks.

Authors:  Lei Yang; Tingting He; Yuan Xu; He Zang; Jiafa Wang; Zhiqiang Lin; Sihua Jin; Zhaoyu Geng
Journal:  Mol Biol Rep       Date:  2019-05-28       Impact factor: 2.316

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

Authors:  Andressa Oliveira Lima; Jessica Moraes Malheiros; Juliana Afonso; Juliana Petrini; Luiz Lehmann Coutinho; Wellison Jarles da Silva Diniz; Flávia Aline Bressani; Polyana Cristine Tizioto; Priscila Silva Neubern de Oliveira; Janssen Ayna Silva Ribeiro; Karina Santos de Oliveira; Marina Ibelli Pereira Rocha; Bruno Gabriel Nascimento Andrade; Heidge Fukumasu; Hamid Beiki; James Mark Reecy; Adhemar Zerlotini; Gerson Barreto Mourao; Luciana Correia de Almeida Regitano
Journal:  Mamm Genome       Date:  2022-07-16       Impact factor: 3.224

3.  Gene map of large yellow croaker (Larimichthys crocea) provides insights into teleost genome evolution and conserved regions associated with growth.

Authors:  Shijun Xiao; Panpan Wang; Yan Zhang; Lujing Fang; Yang Liu; Jiong-Tang Li; Zhi-Yong Wang
Journal:  Sci Rep       Date:  2015-12-22       Impact factor: 4.379

4.  QTL variations for growth-related traits in eight distinct families of common carp (Cyprinus carpio).

Authors:  Weihua Lv; Xianhu Zheng; Youyi Kuang; Dingchen Cao; Yunqin Yan; Xiaowen Sun
Journal:  BMC Genet       Date:  2016-05-05       Impact factor: 2.797

5.  Proteomics of Breast Muscle Tissue Associated with the Phenotypic Expression of Feed Efficiency within a Pedigree Male Broiler Line: I. Highlight on Mitochondria.

Authors:  Byung-Whi Kong; Kentu Lassiter; Alissa Piekarski-Welsher; Sami Dridi; Antonio Reverter-Gomez; Nicholas James Hudson; Walter Gay Bottje
Journal:  PLoS One       Date:  2016-05-31       Impact factor: 3.240

6.  Genome-Wide Association Study for Muscle Fat Content and Abdominal Fat Traits in Common Carp (Cyprinus carpio).

Authors:  Xianhu Zheng; Youyi Kuang; Weihua Lv; Dingchen Cao; Zhipeng Sun; Xiaowen Sun
Journal:  PLoS One       Date:  2016-12-28       Impact factor: 3.240

7.  RNA sequencing for global gene expression associated with muscle growth in a single male modern broiler line compared to a foundational Barred Plymouth Rock chicken line.

Authors:  Byung-Whi Kong; Nicholas Hudson; Dongwon Seo; Seok Lee; Bhuwan Khatri; Kentu Lassiter; Devin Cook; Alissa Piekarski; Sami Dridi; Nicholas Anthony; Walter Bottje
Journal:  BMC Genomics       Date:  2017-01-13       Impact factor: 3.969

8.  Integrative approach using liver and duodenum RNA-Seq data identifies candidate genes and pathways associated with feed efficiency in pigs.

Authors:  Yuliaxis Ramayo-Caldas; Maria Ballester; Juan Pablo Sánchez; Olga González-Rodríguez; Manuel Revilla; Henry Reyer; Klaus Wimmers; David Torrallardona; Raquel Quintanilla
Journal:  Sci Rep       Date:  2018-01-11       Impact factor: 4.379

9.  Post-weaning blood transcriptomic differences between Yorkshire pigs divergently selected for residual feed intake.

Authors:  Haibo Liu; Yet T Nguyen; Dan Nettleton; Jack C M Dekkers; Christopher K Tuggle
Journal:  BMC Genomics       Date:  2016-01-22       Impact factor: 3.969

10.  Identifying artificial selection signals in the chicken genome.

Authors:  Yunlong Ma; Lantao Gu; Liubin Yang; Chenghao Sun; Shengsong Xie; Chengchi Fang; Yangzhang Gong; Shijun Li
Journal:  PLoS One       Date:  2018-04-26       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.