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大规模评估黑腹果蝇的嗅觉偏好和学习能力:行为和遗传成分。

Large-scale assessment of olfactory preferences and learning in Drosophila melanogaster: behavioral and genetic components.

机构信息

Institut für Populationsgenetik , Vetmeduni, Vienna , Austria ; Center for Mind/Brain Sciences, University of Trento , Rovereto , Italy.

Institut für Populationsgenetik , Vetmeduni, Vienna , Austria.

出版信息

PeerJ. 2015 Sep 1;3:e1214. doi: 10.7717/peerj.1214. eCollection 2015.

Abstract

In the Evolve and Resequence method (E&R), experimental evolution and genomics are combined to investigate evolutionary dynamics and the genotype-phenotype link. As other genomic approaches, this methods requires many replicates with large population sizes, which imposes severe restrictions on the analysis of behavioral phenotypes. Aiming to use E&R for investigating the evolution of behavior in Drosophila, we have developed a simple and effective method to assess spontaneous olfactory preferences and learning in large samples of fruit flies using a T-maze. We tested this procedure on (a) a large wild-caught population and (b) 11 isofemale lines of Drosophila melanogaster. Compared to previous methods, this procedure reduces the environmental noise and allows for the analysis of large population samples. Consistent with previous results, we show that flies have a preference for orange vs. apple odor. With our procedure wild-derived flies exhibit olfactory learning in the absence of previous laboratory selection. Furthermore, we find genetic differences in the olfactory learning with relatively high heritability. We propose this large-scale method as an effective tool for E&R and genome-wide association studies on olfactory preferences and learning.

摘要

在进化和重测序方法 (E&R) 中,实验进化和基因组学相结合,以研究进化动态和基因型-表型关系。与其他基因组方法一样,该方法需要具有大量种群的大量重复实验,这对行为表型的分析提出了严格的限制。为了在果蝇中使用 E&R 研究行为的进化,我们开发了一种简单有效的方法,通过 T 迷宫在大量果蝇样本中评估自发的嗅觉偏好和学习。我们在 (a) 一个大型野生捕获种群和 (b) 11 个黑腹果蝇的同源雌性品系上测试了该程序。与以前的方法相比,该程序减少了环境噪声,并允许分析大的种群样本。与以前的结果一致,我们发现果蝇对橙色气味有偏好,而不是苹果气味。通过我们的程序,野生衍生的果蝇在没有以前的实验室选择的情况下表现出嗅觉学习。此外,我们发现嗅觉学习的遗传差异具有相对较高的遗传力。我们提出这种大规模方法作为 E&R 和嗅觉偏好和学习的全基因组关联研究的有效工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd56/4562235/b27faea39396/peerj-03-1214-g001.jpg

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