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酿酒酵母减数分裂中遗传与环境因素的相互作用:细节决定成败。

Interaction of genetic and environmental factors in Saccharomyces cerevisiae meiosis: the devil is in the details.

作者信息

Cotton Victoria E, Hoffmann Eva R, Abdullah Mohammed F F, Borts Rhona H

机构信息

Department of Genetics, University of Leicester, Leicester, United Kingdom.

出版信息

Methods Mol Biol. 2009;557:3-20. doi: 10.1007/978-1-59745-527-5_1.

Abstract

One of the most important principles of scientific endeavour is that the results be reproducible from lab to lab. Although research groups rarely redo the published experiments of their colleagues, research plans almost always rely on the work of someone else. The assumption is that if the same experiment were repeated in another lab, results would be so similar that the same interpretation would be favoured. This notion allows one researcher to compare his/her own results to earlier work from other labs. An essential prerequisite for this is that the experiments are done in identical conditions and therefore the methodology must be clearly stated. While this may be scientific common sense, adherence is difficult because "standard" methods vary from one laboratory to another in subtle ways that are often not reported. More importantly, for many years the field ofyeast meiotic recombination considered typical differences to be innocuous. This chapter will highlight the documented environmental and genetic variables that are known to influence meiotic recombination in Saccharomyces cerevisiae. Other potential methodological sources of variation in meiotic experiments are also discussed. A careful assessment of the effects of these variables, has led to insights into our understanding of the control of recombination and meiosis.

摘要

科学研究最重要的原则之一是实验结果应在不同实验室之间具有可重复性。尽管研究团队很少重复其同事已发表的实验,但研究计划几乎总是依赖于他人的工作。其假设是,如果在另一个实验室重复相同的实验,结果将非常相似,从而支持相同的解释。这一概念使研究人员能够将自己的结果与其他实验室早期的工作进行比较。对此的一个基本前提是实验要在相同条件下进行,因此必须清楚地说明方法。虽然这可能是科学常识,但很难做到,因为“标准”方法在不同实验室之间存在细微差异,而这些差异往往未被报道。更重要的是,多年来酵母减数分裂重组领域认为典型差异是无害的。本章将重点介绍已记录的已知会影响酿酒酵母减数分裂重组的环境和遗传变量。还将讨论减数分裂实验中其他潜在的方法学变异来源。对这些变量影响的仔细评估,有助于我们深入理解重组和减数分裂的控制。

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