Association with pathogenic bacteria affects life-history traits and population growth in Caenorhabditis elegans.

Association with pathogenic bacteria affects life-history traits and population growth in Caenorhabditis elegans.
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DOI:
10.1002/ece3.1461
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发表时间:
2015-04
影响因子:
2.6
通讯作者:
Restif, Olivier
Restif, Olivier
中科院分区:
生物学2区
文献类型:
--
作者:
Diaz, S. Anaid;Mooring, Eric Q.;Rens, Elisabeth G.;Restif, Olivier

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确定个体生活史特征与种群动态之间的关系是理解和预测自然选择的重要一步。可以在两个层面上方便地进行实验研究的模型生物对于测试该领域丰富的理论文献非常有价值。线虫秀丽隐杆线虫尽管是遗传学领域公认的主力,但直到最近才受到生态学家和进化生物学家的关注,特别是在其与致病细菌的关联方面。为了开始填补这两个领域之间的空白,我们进行了一系列实验,旨在测量线虫的生活史特征以及种群增长,以响应三种不同的菌株:大肠杆菌 OP50、肠伤寒沙门氏菌和铜绿假单胞菌 PAO1。尽管之前的研究已经确定,与大肠杆菌 OP50 相比,后两者降低了以它们为食的线虫的存活率,但我们首次报告以鼠伤寒沙门氏菌为食的线虫的繁殖成功率和种群增长有所提高。此外,我们使用了特定年龄的种群动态模型,并通过个体生活史分析进行参数化,成功地预测了三代人的种群增长。这项研究为对秀丽隐杆线虫及其相互作用的细菌的生态和进化进行更详细和定量的实验研究铺平了道路,这可以提高我们对环境中机会致病菌命运的了解。
Determining the relationship between individual life-history traits and population dynamics is an essential step to understand and predict natural selection. Model organisms that can be conveniently studied experimentally at both levels are invaluable to test the rich body of theoretical literature in this area. The nematode Caenorhabditis elegans, despite being a well-established workhorse in genetics, has only recently received attention from ecologists and evolutionary biologists, especially with respect to its association with pathogenic bacteria. In order to start filling the gap between the two areas, we conducted a series of experiments aiming at measuring life-history traits as well as population growth of C. elegans in response to three different bacterial strains: Escherichia coli OP50, Salmonella enterica Typhimurium, and Pseudomonas aeruginosa PAO1. Whereas previous studies had established that the latter two reduced the survival of nematodes feeding on them compared to E. coli OP50, we report for the first time an enhancement in reproductive success and population growth for worms feeding on S. enterica Typhimurium. Furthermore, we used an age-specific population dynamic model, parameterized using individual life-history assays, to successfully predict the growth of populations over three generations. This study paves the way for more detailed and quantitative experimental investigation of the ecology and evolution of C. elegans and the bacteria it interacts with, which could improve our understanding of the fate of opportunistic pathogens in the environment.
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