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Simple phenotypic sweeps hide complex genetic changes in populations.

Ram P Maharjan1, Bin Liu2, Lu Feng2

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Summary
This summary is machine-generated.

Evolutionary adaptation involves genetic changes, but their link to observable traits is complex. This study reveals that bacterial adaptation to glucose limitation arises from numerous small genetic changes (soft sweeps) and occasional large ones (hard sweeps), driven by mutation and competition.

Keywords:
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Area of Science:

  • Evolutionary biology
  • Microbial genetics
  • Population genetics

Background:

  • Understanding the relationship between genetic mutations and phenotypic adaptation is crucial for evolutionary studies.
  • The dynamics of beneficial mutations and their fixation in populations, especially with multiple alleles, remain incompletely understood.
  • Bacterial adaptation in controlled environments like chemostats provides a model for studying evolutionary processes.

Purpose of the Study:

  • To investigate the relationship between genotypic and phenotypic adaptation in a bacterial population under glucose limitation.
  • To characterize the types and dynamics of genetic sweeps (soft vs. hard) during adaptation.
  • To explore the role of subpopulation structure and mutation supply in driving evolutionary trajectories.

Main Methods:

  • High-coverage metagenomic sequencing of a bacterial population over 60 days in a glucose-limited chemostat.
  • Analysis of allele frequency changes to identify beneficial mutations and track their fixation.
  • Distinguishing between soft sweeps (multiple alleles) and hard sweeps (single allele combination).

Main Results:

  • Phenotypic adaptation was characterized by soft sweeps involving 7-26 highly represented alleles in various combinations, originating from low-frequency subpopulations.
  • A hard sweep was observed, driven by a specific combination of mutations in rpoS, mglD, malE, sdhC, and malT.
  • A dynamic subpopulation structure with at least 42 detectable mutations was maintained, with some mutations persisting independently of dominant sweeps.

Conclusions:

  • There is a disconnection between smooth phenotypic sweeps and the complex genetic underpinnings, often involving soft sweeps.
  • Massive mutation supply and clonal interference contribute to soft sweeps, but hard sweeps can still occur.
  • Minor subpopulations are critical sources of evolutionary innovation, highlighting the importance of subpopulation structure in adaptation.