Impact of experience-dependent and -independent factors on gene expression in songbird brain
Impact of experience-dependent and -independent factors on gene expression in songbird brain
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DOI：
10.1073/pnas.1200655109
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发表时间：
2012-10-16
影响因子：
11.1
通讯作者：
Clayton, David F.
中科院分区：
文献类型：
--
作者：
Drnevich, Jenny;Replogle, Kirstin L.;Clayton, David F.
鸣禽为研究大脑解剖、行为、环境信号和基因表达之间的关系提供了丰富的自然模型。在鸣禽神经基因组学计划下，来自11个实验室的研究人员在一系列实验条件下收集了6种鸣禽的大脑样本，并通过微阵列系统地分析了其中488个样本的基因表达。方差分析被用来测试32个计划的数据对比，揭示不同因素的相对影响。提取组织的大脑区域对基因表达谱的影响最大，影响了微阵列上18，848个cDNA点测量的大部分信号。社会和环境的操纵有一个高度可变的影响，在这里解释为矛盾的表现“组成可塑性”（较少的诱导基因）在增强的行为反应期间。几个特定的基因被确定，可能是重要的环境信号和行为之间的联系的演变。数据还使用加权基因共表达网络分析进行了分析，然后进行基因本体分析。这揭示了共表达基因的模块，这些基因也富含特定的功能注释，如“核糖体”（在幼年脑中表达更高）和“多巴胺代谢过程”（在纹状体歌曲控制核X区中表达更高）。这些结果强调了对神经基因表达的影响的复杂性，并为研究这些影响如何在自然体验中整合提供了资源。
Songbirds provide rich natural models for studying the relationships between brain anatomy, behavior, environmental signals, and gene expression. Under the Songbird Neurogenomics Initiative, investigators from 11 laboratories collected brain samples from six species of songbird under a range of experimental conditions, and 488 of these samples were analyzed systematically for gene expression by microarray. ANOVA was used to test 32 planned contrasts in the data, revealing the relative impact of different factors. The brain region from which tissue was taken had the greatest influence on gene expression profile, affecting the majority of signals measured by 18,848 cDNA spots on the microarray. Social and environmental manipulations had a highly variable impact, interpreted here as a manifestation of paradoxical "constitutive plasticity" (fewer inducible genes) during periods of enhanced behavioral responsiveness. Several specific genes were identified that may be important in the evolution of linkages between environmental signals and behavior. The data were also analyzed using weighted gene coexpression network analysis, followed by gene ontology analysis. This revealed modules of coexpressed genes that are also enriched for specific functional annotations, such as "ribosome" (expressed more highly in juvenile brain) and "dopamine metabolic process" (expressed more highly in striatal song control nucleus area X). These results underscore the complexity of influences on neural gene expression and provide a resource for studying how these influences are integrated during natural experience.