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

机译:与致病细菌的结合会影响秀丽隐杆线虫的生活史特征和种群增长

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AbstractDetermining 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.
机译:摘要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步骤。可以方便地在两个水平上进行实验研究的模型生物对于测试该领域的丰富理论文献都具有不可估量的价值。线虫秀丽隐杆线虫尽管是遗传学中公认的主力,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。为了填补这两个区域之间的空白,我们进行了一系列实验,旨在测量对三种不同细菌菌株响应的秀丽隐杆线虫的生活史特征以及线虫的种群增长:大肠杆菌OP50,肠炎沙门氏菌,和铜绿假单胞菌PAO1。尽管先前的研究已经确定,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,但我们首次报道了以鼠伤寒沙门氏菌为食的蠕虫的繁殖成功率和种群增长的增强。此外,我们使用了特定年龄的人口动态模型,并使用个体生活史分析对其进行了参数化设置,以成功预测三代以上人口的增长。这项研究为线虫和与其相互作用的细菌的生态和进化的更详细和定量的实验研究铺平了道路,这可以增进我们对环境中机会病原体命运的了解。

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