Callens Martijn, Rose Caroline J, Finnegan Michael, Gatchitch François, Simon Léna, Hamet Jeanne, Pradier Léa, Dubois Marie-Pierre, Bedhomme Stéphanie
CEFE, CNRS, University of Montpellier, EPHE, IRD, Montpellier, France.
Animal Sciences Unit-Aquatic Environment and Quality, Flanders Research Institute for Agriculture, Fisheries and Food, Oostende, Belgium.
Evol Lett. 2023 May 8;7(4):252-261. doi: 10.1093/evlett/qrad019. eCollection 2023 Aug.
Genotypes exhibiting an increased mutation rate, called hypermutators, can propagate in microbial populations because they can have an advantage due to the higher supply of beneficial mutations needed for adaptation. Although this is a frequently observed phenomenon in natural and laboratory populations, little is known about the influence of parameters such as the degree of maladaptation, stress intensity, and the genetic architecture for adaptation on the emergence of hypermutators. To address this knowledge gap, we measured the emergence of hypermutators over ~1,000 generations in experimental populations exposed to different levels of osmotic or antibiotic stress. Our stress types were chosen based on the assumption that the genetic architecture for adaptation differs between them. Indeed, we show that the size of the genetic basis for adaptation is larger for osmotic stress compared to antibiotic stress. During our experiment, we observed an increased emergence of hypermutators in populations exposed to osmotic stress but not in those exposed to antibiotic stress, indicating that hypermutator emergence rates are stress type dependent. These results support our hypothesis that hypermutator emergence is linked to the size of the genetic basis for adaptation. In addition, we identified other parameters that covaried with stress type (stress level and IS transposition rates) that might have contributed to an increased hypermutator provision and selection. Our results provide a first comparison of hypermutator emergence rates under varying stress conditions and point towards complex interactions of multiple stress-related factors on the evolution of mutation rates.
表现出突变率增加的基因型,即所谓的高突变体,能够在微生物群体中传播,因为它们可能因适应所需的有益突变供应增加而具有优势。尽管这是在自然和实验室群体中经常观察到的现象,但对于诸如适应不良程度、应激强度以及适应的遗传结构等参数对高突变体出现的影响却知之甚少。为了填补这一知识空白,我们在暴露于不同水平渗透或抗生素应激的实验群体中,测量了约1000代期间高突变体的出现情况。我们选择的应激类型是基于这样的假设,即它们之间适应的遗传结构有所不同。事实上,我们发现与抗生素应激相比,渗透应激下适应的遗传基础规模更大。在我们的实验过程中,我们观察到暴露于渗透应激的群体中高突变体出现增加,而暴露于抗生素应激的群体中则没有,这表明高突变体出现率取决于应激类型。这些结果支持了我们的假设,即高突变体的出现与适应的遗传基础规模有关。此外,我们还确定了与应激类型相关的其他参数(应激水平和插入序列转座率),这些参数可能有助于增加高突变体的产生和选择。我们的结果首次比较了不同应激条件下高突变体的出现率,并指出了多种应激相关因素在突变率进化上的复杂相互作用。