Mutation Rate and Effective Population Size of the Model Cooperative Bacterium Myxococcus xanthus

Author:

Wielgoss Sébastien1ORCID,Van Dyken James David23,Velicer Gregory J12ORCID

Affiliation:

1. Department of Environmental Systems Science, Institute of Integrative Biology, ETH Zürich , 8092 Zürich , Switzerland

2. Department of Biology, Indiana University , Bloomington, IN 47405 , USA

3. Department of Biology, University of Miami , Coral Gables, FL 33146 , USA

Abstract

Abstract Intrinsic rates of genetic mutation have diverged greatly across taxa and exhibit statistical associations with several other parameters and features. These include effective population size (Ne), genome size, and gametic multicellularity, with the latter being associated with both increased mutation rates and decreased effective population sizes. However, data sufficient to test for possible relationships between microbial multicellularity and mutation rate (µ) are lacking. Here, we report estimates of two key population-genetic parameters, Ne and µ, for Myxococcus xanthus, a bacterial model organism for the study of aggregative multicellular development, predation, and social swarming. To estimate µ, we conducted an ∼400-day mutation accumulation experiment with 46 lineages subjected to regular single colony bottlenecks prior to clonal regrowth. Upon conclusion, we sequenced one clonal-isolate genome per lineage. Given collective evolution for 85,323 generations across all lines, we calculate a per base-pair mutation rate of ∼5.5 × 10−10 per site per generation, one of the highest mutation rates among free-living eubacteria. Given our estimate of µ, we derived Ne at ∼107 from neutral diversity at four-fold degenerate sites across two dozen M. xanthus natural isolates. This estimate is below average for eubacteria and strengthens an already clear negative correlation between µ and Ne in prokaryotes. The higher and lower than average mutation rate and Ne for M. xanthus, respectively, amplify the question of whether any features of its multicellular life cycle—such as group-size reduction during fruiting-body development—or its highly structured spatial distribution have significantly influenced how these parameters have evolved.

Funder

U.S. NIH

Publisher

Oxford University Press (OUP)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adaptive radiation during the evolution of complex multicellularity;Evolutionary Journal of the Linnean Society;2024-01-01

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