A dictionary of behavioral motifs reveals clusters of genes affecting Caenorhabditis elegans locomotion
A dictionary of behavioral motifs reveals clusters of genes affecting Caenorhabditis elegans locomotion
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DOI：
10.1073/pnas.1211447110
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发表时间：
2013-01-08
影响因子：
11.1
通讯作者：
Schafer, William R.
中科院分区：
文献类型：
--
作者：
Brown, Andre E. X.;Yemini, Eviatar I.;Schafer, William R.
基于运动和姿势的可见表型在理解秀丽线虫和其他模式生物行为和发育的分子基础方面发挥了关键作用。然而，尚不清楚这些人类定义的特征是否捕捉到了行为的最重要方面，以便进行表型比较，或者它们是否足以发现新的行为。在这里，我们展示了四种基本形状，或特征蠕虫，以前描述的野生型蠕虫，也捕获突变形状，这种表示可以用来以一种公正的方式建立重复行为基序的词典。通过测量每个人的行为与基序词典中元素之间的距离，我们创建了一个指纹，可以用来比较突变体与野生型以及彼此之间的差异。这种分析揭示了以前没有通过实时观察检测到的表型，并允许将突变归类到相关的组中。行为模体提供了行为表型的紧凑和直观的表示。
Visible phenotypes based on locomotion and posture have played a critical role in understanding the molecular basis of behavior and development in Caenorhabditis elegans and other model organisms. However, it is not known whether these human-defined features capture the most important aspects of behavior for phenotypic comparison or whether they are sufficient to discover new behaviors. Here we show that four basic shapes, or eigenworms, previously described for wild-type worms, also capture mutant shapes, and that this representation can be used to build a dictionary of repetitive behavioral motifs in an unbiased way. By measuring the distance between each individual's behavior and the elements in the motif dictionary, we create a fingerprint that can be used to compare mutants to wild type and to each other. This analysis has revealed phenotypes not previously detected by real-time observation and has allowed clustering of mutants into related groups. Behavioral motifs provide a compact and intuitive representation of behavioral phenotypes.