Goto Tatsuhiko, Okayama Tsuyoshi, Toyoda Atsushi
College of Agriculture, Ibaraki University, Ami, Ibaraki 300-0393, Japan; Ibaraki University Cooperation between Agriculture and Medical Science (IUCAM), Ami, Ibaraki 300-0393, Japan.
College of Agriculture, Ibaraki University, Ami, Ibaraki 300-0393, Japan; Ibaraki University Cooperation between Agriculture and Medical Science (IUCAM), Ami, Ibaraki 300-0393, Japan; United Graduate School of Agricultural Science, Tokyo University of Agriculture and Technology, Fuchu-city, Tokyo 183-8509, Japan.
Behav Processes. 2015 Oct;119:86-92. doi: 10.1016/j.beproc.2015.07.007. Epub 2015 Jul 26.
Nest building is one of the innate behaviors that are widely observed throughout the animal kingdom. Previous studies have reported specific brain regions and genetic loci associated with nest building in mice. These studies mainly evaluated the nest structure, without observing the nesting process. In this study, we evaluated the effects of strain and learning on the nesting process of mice using a 3D depth camera. To determine the quality of the nest structure, a conventional scoring method, Deacon scores 1-5, was applied to the recorded depth images. The final score of the nest, latency to start nesting behavior, and latencies to reach Deacon scores 3-5, were determined using three genetically different mouse strains-C57BL/6NCrl (B6), DBA/2NCrlCrlj (DBA), and B6D2F1/Crl (B6D2F1). The final score of the DBA nest was significantly lower than that of the B6D2F1 nest, and DBA mice showed significantly longer latency to start nest building than the other two strains in the first trial. By observing the time course of nest building, we confirmed that DBA mice took significantly longer to build their nests than B6 and B6D2F1 mice. Although we did not find any significant differences between DBA and B6 mice in the final assessment of the nest based on the Deacon method, overnight monitoring of the nesting behavior using a 3D depth camera could elucidate the clear differences in the amount of time spent nesting between DBA and B6 mice. In addition, the learning effect was more evident in DBA mice than it was in B6 in terms of latencies to reach Deacon score 3-5 in five repeated trials. DBA mice showed a gradual decrease in latency to build, whereas nesting behaviors of B6 mice were relatively consistent throughout the five trials. Therefore, our 3D depth image method gives higher resolution and structural information regarding the nesting process in mice. Future genetic analyses using the 3D assessment system will provide novel insights into the complex genetic basis for nesting and other behaviors in animals.
筑巢是动物界广泛观察到的先天行为之一。先前的研究报道了与小鼠筑巢相关的特定脑区和基因位点。这些研究主要评估了巢穴结构,而没有观察筑巢过程。在本研究中,我们使用3D深度相机评估了品系和学习对小鼠筑巢过程的影响。为了确定巢穴结构的质量,将传统的评分方法——迪肯评分1 - 5应用于记录的深度图像。使用三种基因不同的小鼠品系——C57BL/6NCrl(B6)、DBA/2NCrlCrlj(DBA)和B6D2F1/Crl(B6D2F1),确定巢穴的最终得分、开始筑巢行为的潜伏期以及达到迪肯评分3 - 5的潜伏期。DBA巢穴的最终得分显著低于B6D2F1巢穴,并且在第一次试验中,DBA小鼠开始筑巢的潜伏期明显长于其他两个品系。通过观察筑巢的时间进程,我们证实DBA小鼠筑巢所花费的时间明显长于B6和B6D2F1小鼠。尽管根据迪肯方法在巢穴的最终评估中,我们没有发现DBA和B6小鼠之间有任何显著差异,但使用3D深度相机对筑巢行为进行过夜监测可以阐明DBA和B6小鼠在筑巢所花费时间上的明显差异。此外,在五次重复试验中,就达到迪肯评分3 - 5的潜伏期而言,DBA小鼠的学习效果比B6小鼠更明显。DBA小鼠筑巢潜伏期逐渐缩短,而B6小鼠的筑巢行为在整个五次试验中相对一致。因此,我们的3D深度图像方法能提供有关小鼠筑巢过程的更高分辨率和结构信息。未来使用3D评估系统进行的基因分析将为动物筑巢及其他行为的复杂遗传基础提供新的见解。