不可预知的干扰及其对黑腹果蝇活动行为和寿命的影响。

IF 1.7 4区 生物学 Q3 BIOLOGY
Biology Open Pub Date : 2025-07-15 Epub Date: 2025-07-22 DOI:10.1242/bio.062071
Anabel S X Byars, Nicole C Riddle
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引用次数: 0

摘要

动物表现出对其生存和繁殖很重要的自然运动模式。人类的干扰可以改变这些运动模式。在许多自然环境中,评估这些改变的运动模式的长期影响是困难的。对模式生物的实验室研究可以为运动行为改变的长期影响提供额外的见解,例如由人类干扰引起的运动行为。在这里,我们研究了不可预测的干扰如何影响果蝇的动物活动和寿命。我们从果蝇遗传参考小组(DGRP)中选择了4个菌株来评估不同基线活动水平的动物。使用TreadWheel模拟不可预测的干扰治疗,每天随机进行四次30分钟的干扰。我们发现5天和20天的干扰处理都改变了动物的活动水平,但反应取决于动物的性别、基因型和年龄。虽然我们发现有几组动物的活动发生了变化,但除了少数例外,寿命总体上没有受到影响。我们的研究结果强调了预测个体对干扰反应的复杂性,但表明短期干扰对寿命的长期影响是罕见的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unpredictable disturbance and its effects on activity behavior and lifespan in Drosophila melanogaster.

Animals exhibit natural movement patterns that are important for their survival and reproduction. Human disturbance can alter these movement patterns. In many natural settings, assessing the long-term impact of these altered movement patterns is difficult. Laboratory studies with model organisms may provide additional insight into the long-term effects of altered movement behaviors, such as those caused by human disturbance. Here, we investigate how unpredictable disturbance impacts animal activity and lifespan of Drosophila melanogaster. We selected four strains from the Drosophila Genetics Reference Panel (DGRP) to assess animals with different baseline activity levels. The unpredictable disturbance treatment was simulated using the TreadWheel to administer four randomized 30-min disturbances daily. We found that both 5-day and 20-day disturbance treatments altered activity levels, but the response was dependent on sex, genotype, and age of the animals. While we detected altered animal activity in several groups, lifespan generally was not affected, with a few exceptions. Our results highlight the complexity involved in predicting individual responses to disturbance but suggest that long-term effects on lifespan are rare in response to short-term disturbance.

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来源期刊
Biology Open
Biology Open BIOLOGY-
CiteScore
3.90
自引率
0.00%
发文量
162
审稿时长
8 weeks
期刊介绍: Biology Open (BiO) is an online Open Access journal that publishes peer-reviewed original research across all aspects of the biological sciences. BiO aims to provide rapid publication for scientifically sound observations and valid conclusions, without a requirement for perceived impact.
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