Literature DB >> 12817449

Systems-wide chicken DNA microarrays, gene expression profiling, and discovery of functional genes.

L A Cogburn1, X Wang, W Carre, L Rejto, T E Porter, S E Aggrey, J Simon.   

Abstract

The goal of our current consortium project is to launch a new era--functional genomics of poultry--by providing genomic resources [expressed sequence tags (EST) and DNA microarrays] and by examining global gene expression in target tissues of chickens. DNA microarray analysis has been a fruitful strategy for the identification of functional genes in several model organisms (i.e., human, rodents, fruit fly, etc.). We have constructed and normalized five tissue-specific or multiple-tissue chicken cDNA libraries [liver, fat, breast, and leg muscle/epiphyseal growth plate, pituitary/hypothalamus/pineal, and reproductive tract (oviduct/ovary/testes)] for high-throughput DNA sequencing of EST. DNA sequence clustering was used to build contigs of overlapping sequence and to identify unique, non-redundant EST clones (unigenes), which permitted printing of systems-wide chicken DNA microarrays. One of the most promising genetic resources for gene exploration and functional gene mapping is provided by two sets of experimental lines of broiler-type chickens developed at INRA, France, by divergent selection for extremes in growth traits (fast-growing versus slow-growing; fatness versus leanness at a similar growth rate). We are using DNA microarrays for global gene expression profiling to identify candidate genes and to map growth, metabolic, and regulatory pathways that control important production traits. Candidate genes will be used for functional gene mapping and QTL analysis of F2 progeny from intercrosses made between divergent genetic lines (fat x lean lines; fast-growing x slow-growing lines). Using our first chicken liver microarray, we have already identified several interesting differentially expressed genes in commercial broilers and in divergently selected broiler lines. Many of these candidate genes are involved in the lipogenic pathway and are controlled in part by the thyrotropic axis. Thus, genome-wide transcriptional profiling is a powerful tool used to visualize the cascade of genetic circuits that govern complex biological responses. Global gene expression profiling and QTL scans should enable us to functionally map the genetic pathways that control growth, development, and metabolism of chickens. This emerging technology will have broad applications for poultry breeding programs (i.e., use of molecular markers) and for future production systems (i.e., the health and welfare of birds and the quality of poultry products).

Entities:  

Mesh:

Year:  2003        PMID: 12817449     DOI: 10.1093/ps/82.6.939

Source DB:  PubMed          Journal:  Poult Sci        ISSN: 0032-5791            Impact factor:   3.352


  21 in total

1.  Construction of a microarray specific to the chicken immune system: profiling gene expression in B cells after lipopolysaccharide stimulation.

Authors:  Aimie J Sarson; Leah R Read; Hamid R Haghighi; Melissa D Lambourne; Jennifer T Brisbin; Huaijun Zhou; Shayan Sharif
Journal:  Can J Vet Res       Date:  2007-04       Impact factor: 1.310

2.  Expressed sequence tag analysis of Eimeria-stimulated intestinal intraepithelial lymphocytes in chickens.

Authors:  Wongi Min; Hyun S Lillehoj; Christopher M Ashwell; Curtis P van Tassell; Rami A Dalloul; Lakshmi K Matukumalli; Jae Y Han; Erik P Lillehoj
Journal:  Mol Biotechnol       Date:  2005-06       Impact factor: 2.695

3.  Microarray analysis of adipose tissue gene expression profiles between two chicken breeds.

Authors:  Hongbao Wang; Hui Li; Qigui Wang; Yuxiang Wang; Huabin Han; Hui Shi
Journal:  J Biosci       Date:  2006-12       Impact factor: 1.826

4.  Molecular cytogenetic definition of the chicken genome: the first complete avian karyotype.

Authors:  Julio S Masabanda; Dave W Burt; Patricia C M O'Brien; Alain Vignal; Valerie Fillon; Philippa S Walsh; Helen Cox; Helen G Tempest; Jacqueline Smith; Felix Habermann; Michael Schmid; Yoichi Matsuda; Malcolm A Ferguson-Smith; Richard P M A Crooijmans; Martien A M Groenen; Darren K Griffin
Journal:  Genetics       Date:  2004-03       Impact factor: 4.562

5.  Genome-wide census and expression profiling of chicken neuropeptide and prohormone convertase genes.

Authors:  K R Delfino; B R Southey; J V Sweedler; S L Rodriguez-Zas
Journal:  Neuropeptides       Date:  2009-12-14       Impact factor: 3.286

6.  Biomarker discovery in animal health and disease: the application of post-genomic technologies.

Authors:  Rowan E Moore; Jennifer Kirwan; Mary K Doherty; Phillip D Whitfield
Journal:  Biomark Insights       Date:  2007-07-10

7.  Use of comparative proteomics to identify key proteins related to hepatic lipid metabolism in broiler chickens: evidence accounting for differential fat deposition between strains.

Authors:  Jianzhen Huang; Xue Tang; Jiming Ruan; Haitian Ma; Sixiang Zou
Journal:  Lipids       Date:  2009-11-29       Impact factor: 1.880

8.  Genome-wide linkage analysis of global gene expression in loin muscle tissue identifies candidate genes in pigs.

Authors:  Juan Pedro Steibel; Ronald O Bates; Guilherme J M Rosa; Robert J Tempelman; Valencia D Rilington; Ashok Ragavendran; Nancy E Raney; Antonio Marcos Ramos; Fernando F Cardoso; David B Edwards; Catherine W Ernst
Journal:  PLoS One       Date:  2011-02-08       Impact factor: 3.240

9.  Hatching the cleidoic egg: the role of thyroid hormones.

Authors:  Bert De Groef; Sylvia V H Grommen; Veerle M Darras
Journal:  Front Endocrinol (Lausanne)       Date:  2013-05-31       Impact factor: 5.555

10.  Comparison of the Transcriptomic and Epigenetic Profiles of Gonadal Primordial Germ Cells of White Leghorn and Green-Legged Partridgelike Chicken Embryos.

Authors:  Aleksandra Dunislawska; Maria Siwek; Katarzyna Stadnicka; Marek Bednarczyk
Journal:  Genes (Basel)       Date:  2021-07-19       Impact factor: 4.096

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.