当前位置: X-MOL 学术Sci. Total Environ. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A sensitive optical-based test method for the locomotor activity of earthworms.
Science of the Total Environment ( IF 8.2 ) Pub Date : 2020-01-27 , DOI: 10.1016/j.scitotenv.2020.136966
Ting Xu 1 , Wanting Zhao 2 , Juanjuan Miao 2 , Bin Zhang 3 , Xinyue Yang 2 , G Daniel Sheng 1 , Daqiang Yin 1
Affiliation  

The outdated test methodologies for terrestrial animals have limited the progress of soil ecotoxicology to some extent. To improve the behavioral testing of earthworms, a terrestrial model animal, a sensitive optical-based method for detecting locomotor activity was established. The method measured the fine quantified position offsets of each earthworm in place of a conventional overall response rate, which provided the feasibility for accurate analyses and comparisons. By setting appropriate thresholds, the time proportions of medium and burst states (mid-burdur%) could be an optimized endpoint with an ideal balance in output stability and sensitivity. In addition, we chose the head-end, which is the most flexible part of the earthworm, other than whole body to further elevate the sensitivity in indicating the changed traits. Using octopamine, serotonin, and a serial-dose of lindane exposure, the practice credibility of the test method was validated. Our developed locomotor test method overcame the innate characteristics of the earthworm, and was expected to provide a powerful phenotypic tool for ecological and ecotoxicological studies using earthworms and similar invertebrates.

中文翻译:

一种基于光学的sensitive运动活动测试方法。

陆生动物过时的测试方法在一定程度上限制了土壤生态毒理学的发展。为了改善worm的行为测试,建立了陆生动物模型,建立了一种基于光学的灵敏方法来检测运动活动。该方法代替常规的整体响应率,测量了每只worm的精确定量位置偏移,这为进行精确的分析和比较提供了可行性。通过设置适当的阈值,中等和突发状态的时间比例(mid-burdur%)可以成为优化的端点,并在输出稳定性和灵敏度上达到理想的平衡。此外,我们选择了whole,它是worm最灵活的部分,而不是整个身体,以进一步提高指示变化的性状的敏感性。用章鱼胺 血清素和林丹暴露的一系列剂量,验证了该测试方法的实践可信度。我们开发的运动测试方法克服了worm的先天特性,并有望为使用and和类似无脊椎动物的生态和生态毒理研究提供强大的表型工具。
更新日期:2020-01-27
down
wechat
bug