Cogburn L A, Wang X, Carre W, Rejto L, Aggrey S E, Duclos M J, Simon J, Porter T E
Department of Animal and Food Sciences, University of Delaware, Newark DE 19717, USA.
Comp Funct Genomics. 2004;5(3):253-61. doi: 10.1002/cfg.402.
The genetic networks that govern the differentiation and growth of major tissues of economic importance in the chicken are largely unknown. Under a functional genomics project, our consortium has generated 30 609 expressed sequence tags (ESTs) and developed several chicken DNA microarrays, which represent the Chicken Metabolic/Somatic (10 K) and Neuroendocrine/Reproductive (8 K) Systems (http://udgenome.ags.udel.edu/cogburn/). One of the major challenges facing functional genomics is the development of mathematical models to reconstruct functional gene networks and regulatory pathways from vast volumes of microarray data. In initial studies with liver-specific microarrays (3.1 K), we have examined gene expression profiles in liver during the peri-hatch transition and during a strong metabolic perturbation-fasting and re-feeding-in divergently selected broiler chickens (fast vs. slow-growth lines). The expression of many genes controlling metabolic pathways is dramatically altered by these perturbations. Our analysis has revealed a large number of clusters of functionally related genes (mainly metabolic enzymes and transcription factors) that control major metabolic pathways. Currently, we are conducting transcriptional profiling studies of multiple tissues during development of two sets of divergently selected broiler chickens (fast vs. slow growing and fat vs. lean lines). Transcriptional profiling across multiple tissues should permit construction of a detailed genetic blueprint that illustrates the developmental events and hierarchy of genes that govern growth and development of chickens. This review will briefly describe the recent acquisition of chicken genomic resources (ESTs and microarrays) and our consortium's efforts to help launch the new era of functional genomics in the chicken.
调控鸡体内具有重要经济价值的主要组织分化和生长的基因网络在很大程度上尚不清楚。在一个功能基因组学项目中,我们的研究团队已生成30609个表达序列标签(EST),并开发了几种鸡DNA微阵列,它们代表鸡的代谢/体细胞(10K)和神经内分泌/生殖(8K)系统(http://udgenome.ags.udel.edu/cogburn/)。功能基因组学面临的主要挑战之一是开发数学模型,以便从大量微阵列数据中重建功能基因网络和调控途径。在对肝脏特异性微阵列(3.1K)的初步研究中,我们检测了孵化前后过渡期以及在禁食和再喂食这种强烈代谢扰动条件下,不同选择的肉鸡(快生长系与慢生长系)肝脏中的基因表达谱。这些扰动会显著改变许多控制代谢途径的基因的表达。我们的分析揭示了大量控制主要代谢途径的功能相关基因簇(主要是代谢酶和转录因子)。目前,我们正在对两组不同选择的肉鸡(快生长与慢生长以及肥与瘦品系)发育过程中的多个组织进行转录谱研究。跨多个组织的转录谱分析应有助于构建详细的遗传蓝图,阐明调控鸡生长发育的基因的发育事件和层次结构。本综述将简要描述鸡基因组资源(EST和微阵列)的最新获取情况,以及我们的研究团队为推动鸡功能基因组学新时代所做的努力。