秀丽隐杆线虫
生物
模式生物
计算生物学
有机体
生存分析
遗传学
进化生物学
生物系统
统计
基因
数学
作者
Nicholas Stroustrup,Bryne Ulmschneider,Zachary M. Nash,Isaac F. López-Moyado,Javier Apfeld,Walter Fontana
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2013-05-10
卷期号:10 (7): 665-670
被引量:289
摘要
Automated methods are described for the determination of survival curves in C. elegans, enabling rapid and statistically rigorous studies of lifespan in this organism. The measurement of lifespan pervades aging research. Because lifespan results from complex interactions between genetic, environmental and stochastic factors, it varies widely even among isogenic individuals. The actions of molecular mechanisms on lifespan are therefore visible only through their statistical effects on populations. Indeed, survival assays in Caenorhabditis elegans have provided critical insights into evolutionarily conserved determinants of aging. To enable the rapid acquisition of survival curves at an arbitrary statistical resolution, we developed a scalable imaging and analysis platform to observe nematodes over multiple weeks across square meters of agar surface at 8-μm resolution. The automated method generates a permanent visual record of individual deaths from which survival curves are constructed and validated, producing data consistent with results from the manual method of survival curve acquisition for several mutants in both standard and stressful environments. Our approach permits rapid, detailed reverse-genetic and chemical screens for effects on survival and enables quantitative investigations into the statistical structure of aging.
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