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多参数行为分析为秀丽隐杆线虫抗氰化物机制提供了深入了解。

Multiparameter behavioral analyses provide insights to mechanisms of cyanide resistance in Caenorhabditis elegans.

机构信息

Department of Genetics, Development and Cell Biology, Iowa State University, Ames, Iowa 50011, USA.

出版信息

Toxicol Sci. 2013 Sep;135(1):156-68. doi: 10.1093/toxsci/kft138. Epub 2013 Jun 26.

Abstract

Environmental toxicants influence development, behavior, and ultimately survival. The nematode Caenorhabditis elegans has proven to be an exceptionally powerful model for toxicological studies. Here, we develop novel technologies to describe the effects of cyanide toxicity with high spatiotemporal resolution. Importantly, we use these methods to examine the genetic underpinnings of cyanide resistance. Caenorhabditis elegans that lack the EGL-9 oxygen sensing enzyme have been shown to be resistant to hydrogen cyanide (HCN) gas produced by the pathogen Pseudomonas aeruginosa PAO1. We demonstrate that the cyanide resistance exhibited by egl-9 mutants is completely dependent on the HIF-1 hypoxia-inducible factor and is mediated by the cysl-2 cysteine synthase, which likely functions in metabolic pathways that inactivate cyanide. Further, the expression of cysl-2 correlates with the degree of cyanide resistance exhibited in each genetic background. We find that each mutant exhibits similar relative resistance to HCN gas on plates or to aqueous potassium cyanide in microfluidic chambers. The design of the microfluidic devices, in combination with real-time imaging, addresses a series of challenges presented by mutant phenotypes and by the chemical nature of the toxicant. The microfluidic assay produces a set of behavioral parameters with increased resolution that describe cyanide toxicity and resistance in C. elegans, and this is particularly useful in analyzing subtle phenotypes. These multiparameter analyses of C. elegans behavior hold great potential as a means to monitor the effects of toxicants or chemical interventions in real time and to study the biological networks that underpin toxicant resistance.

摘要

环境毒物会影响发育、行为,最终影响生存。秀丽隐杆线虫已被证明是毒理学研究的一种非常强大的模式生物。在这里,我们开发了新的技术,以高时空分辨率描述氰化物毒性的影响。重要的是,我们使用这些方法来研究氰化物抗性的遗传基础。已经表明,缺乏 EGL-9 氧感应酶的秀丽隐杆线虫对假单胞菌 PAO1 产生的氢氰酸 (HCN) 气体具有抗性。我们证明,egl-9 突变体表现出的氰化物抗性完全依赖于 HIF-1 低氧诱导因子,并由 cysl-2 半胱氨酸合酶介导,该酶可能在使氰化物失活的代谢途径中发挥作用。此外,cysl-2 的表达与每个遗传背景中表现出的氰化物抗性程度相关。我们发现,每个突变体在平板上或微流控室中的水合氰化钾中对 HCN 气体表现出相似的相对抗性。微流控设备的设计,结合实时成像,解决了由突变表型和毒物的化学性质带来的一系列挑战。微流控分析产生了一组具有更高分辨率的行为参数,描述了秀丽隐杆线虫中的氰化物毒性和抗性,这对于分析微妙的表型特别有用。这些秀丽隐杆线虫行为的多参数分析具有很大的潜力,可以实时监测毒物或化学干预的影响,并研究支持毒物抗性的生物学网络。

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