Chlamydomonas reinhardtii as a model system for pro-active herbicide resistance evolution research

被引:30
|
作者
Reboud, Xavier
Majerus, Nicolas
Gasquez, Jacques
Powles, Stephen
机构
[1] INRA, UMR Biol & Gest Adventices, F-21065 Dijon, France
[2] Univ Western Australia, Sch Plant Biol, Western Australia Herbicide Resistance Initiat, Perth, WA, Australia
关键词
microalgae; model organism; mutation; pesticide; threshold selection;
D O I
10.1111/j.1095-8312.2007.00787.x
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Modern herbicides greatly contribute to world agricultural production but their sustainability is threatened by the widespread evolution of herbicide resistant weedy plant populations. Despite the commercial and scientific importance of resistance, there has not been an experimental model system for pro-actively evaluating the potential for herbicide resistance evolution. Here, utilizing the rapidly growing, unicellular photosynthetic microalgae Chlamydomonas reinhardtii (Dangeard), a ratchet protocol has been developed that solves the problem of maintaining both large populations and strong herbicide selection. The ratchet protocol is a progressive set of cycles, each cycle commencing with a population of approximately one million individuals apportioned amongst three herbicide doses for 14 days. Whenever the evolving population demonstrates growth across the three herbicide selection intensities, then the population ratchets to the next cycle of higher herbicide dose. Therefore, by always maintaining large populations under selection pressure, this system offers the opportunity for beneficial mutations to arise and be enriched. Using the well-characterized atrazine herbicide, the ratchet protocol resulted in rapid evolution of populations with different levels of resistance. This robust laboratory based Chlamydomonas system is proposed for application in establishing the respective propensity for resistance evolution to herbicides or other selecting agents. (C) 2007 The Linnean Society of London.
引用
收藏
页码:257 / 266
页数:10
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