Systems-wide chicken DNA microarrays, gene expression profiling, and discovery of functional genes
Systems-wide chicken DNA microarrays, gene expression profiling, and discovery of functional genes
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DOI：
10.1093/ps/82.6.939
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发表时间：
2003-06-01
期刊：
影响因子：
4.4
通讯作者：
Simon, J
中科院分区：
文献类型：
--
作者：
Cogburn, LA;Wang, X;Simon, J
我们目前的联盟项目的目标是推出一个新时代的家禽功能基因组学-通过提供基因组资源[表达序列标签（EST）和DNA微阵列]，并通过检查全球基因表达在鸡的靶组织。DNA微阵列分析已经成为鉴定几种模式生物（即，人、啮齿动物、果蝇等）。我们已经构建了5个组织特异性或多组织鸡cDNA文库[肝脏，脂肪，乳房，腿肌/骺生长板，垂体/下丘脑/松果体，和生殖道（输卵管/卵巢/睾丸）]，并进行了标准化，用于EST的高通量DNA测序。DNA序列聚类用于构建重叠序列的重叠群，并识别独特的、非冗余的EST克隆（unigenes），其允许打印系统范围的鸡DNA微阵列。法国INRA通过对生长性状的极端选择（快速生长与缓慢生长;在相似的生长速度下肥胖与消瘦）开发的两组肉鸡实验品系提供了基因探索和功能基因定位的最有前途的遗传资源之一。我们正在使用DNA微阵列进行全球基因表达谱分析，以确定候选基因，并绘制控制重要生产性状的生长，代谢和调控途径。候选基因将用于不同遗传系（脂肪x瘦肉系;快速生长x缓慢生长系）之间杂交的F-2后代的功能基因定位和QTL分析。利用我们的第一个鸡肝微阵列，我们已经确定了几个有趣的差异表达基因在商业肉鸡和不同选择的肉鸡品系。这些候选基因中的许多参与脂肪生成途径并且是。部分由促甲状腺轴控制。因此，全基因组转录谱是一个强大的工具，用于可视化级联的遗传电路，管理复杂的生物反应。全球基因表达谱分析和QTL扫描应该使我们能够在功能上映射控制鸡的生长，发育和代谢的遗传途径。这项新兴技术将广泛应用于家禽育种计划（即，分子标记的使用）和用于未来的生产系统（即，鸟类的健康和福利。家禽产品的质量）。
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 micromrays 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 F-2 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).