Competition dynamics in long-term propagations of Schizosaccharomyces pombe strain communities

被引:2
作者
Durao, Paulo [1 ]
Amicone, Massimo [1 ]
Perfeito, Lilia [1 ,2 ]
Gordo, Isabel [1 ]
机构
[1] Inst Gulbenkian Ciencias, Oeiras, Portugal
[2] Lab Instrumentacao & Fis Expt Particulas, Oeiras, Portugal
来源
ECOLOGY AND EVOLUTION | 2021年 / 11卷 / 21期
关键词
adaptation; competitive fitness; growth rates; prediction; propagation; yeast strain communities; DIVERSITY; EVOLUTION; SACCHAROMYCES; FERMENTATION; EFFICIENT; LIMITS;
D O I
10.1002/ece3.8191
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Experimental evolution studies with microorganisms such as bacteria and yeast have been an increasingly important and powerful tool to draw long-term inferences of how microbes interact. However, while several strains of the same species often exist in natural environments, many ecology and evolution studies in microbes are typically performed with isogenic populations of bacteria or yeast. In the present study, we firstly perform a genotypic and phenotypic characterization of two laboratory and eight natural strains of the yeast Schizosaccharomyces pombe. We then propagated, in a rich resource environment, yeast communities of 2, 3, 4, and 5 strains for hundreds of generations and asked which fitness-related phenotypes-maximum growth rate or relative competitive fitness-would better predict the outcome of a focal strain during the propagations. While the strain's growth rates would wrongly predict long-term coexistence, pairwise competitive fitness with a focal strain qualitatively predicted the success or extinction of the focal strain by a simple multigenotype population genetics model, given the initial community composition. Interestingly, we have also measured the competitive fitness of the ancestral and evolved communities by the end of the experiment (approximate to 370 generations) and observed frequent maladaptation to the abiotic environment in communities with more than three members. Overall, our results aid establishing pairwise competitive fitness as good qualitative measurement of long-term community composition but also reveal a complex adaptive scenario when trying to predict the evolutionary outcome of those communities.
引用
收藏
页码:15085 / 15097
页数:13
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