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利用本体将进化形态学与基因组学联系起来:以包括斑马鱼在内的鲤形目为例的研究。

Connecting evolutionary morphology to genomics using ontologies: a case study from Cypriniformes including zebrafish.

作者信息

Mabee Paula M, Arratia Gloria, Coburn Miles, Haendel Melissa, Hilton Eric J, Lundberg John G, Mayden Richard L, Rios Nelson, Westerfield Monte

机构信息

Department of Biology, University of South Dakota, Vermillion, South Dakota 57069, USA.

出版信息

J Exp Zool B Mol Dev Evol. 2007 Sep 15;308(5):655-68. doi: 10.1002/jez.b.21181.

Abstract

One focus of developmental biology is to understand how genes regulate development, and therefore examining the phenotypic effects of gene mutation is a major emphasis in studies of zebrafish and other model organisms. Genetic change underlies alterations in evolutionary characters, or phenotype, and morphological phylogenies inferred by comparison of these characters. We will utilize both existing and new ontologies to connect the evolutionary anatomy and image database that is being developed in the Cypriniformes Tree of Life project to the Zebrafish Information Network (HYPERLINK "file://localhost/Library/Local%20Settings/Temp/zfin.org" zfin.org) database. Ontologies are controlled vocabularies that formally represent hierarchical relationships among defined biological concepts. If used to recode the free-form text descriptors of anatomical characters, evolutionary character data can become more easily computed, explored, and mined. A shared ontology for homologous modules of the phenotype must be referenced to connect the growing databases in each area in a way that evolutionary questions can be addressed. We present examples that demonstrate the broad utility of this approach.

摘要

发育生物学的一个重点是了解基因如何调控发育,因此,研究基因突变的表型效应是斑马鱼及其他模式生物研究的主要重点。遗传变化是进化特征或表型改变以及通过比较这些特征推断出的形态系统发育的基础。我们将利用现有的和新的本体,将鲤形目生命之树项目中正在开发的进化解剖学和图像数据库与斑马鱼信息网络(HYPERLINK "file://localhost/Library/Local%20Settings/Temp/zfin.org" zfin.org)数据库相连接。本体是受控词汇表,正式表示已定义的生物学概念之间的层次关系。如果用于重新编码解剖特征的自由形式文本描述符,进化特征数据将更容易进行计算、探索和挖掘。必须参考一个用于表型同源模块的共享本体,以便以能够解决进化问题的方式连接每个领域中不断增长的数据库。我们给出的例子展示了这种方法的广泛用途。

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