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Bacteria and archaea are susceptible to viral infections just like eukaryotes; therefore, they have developed a unique adaptive immune system to protect themselves. Clustered regularly interspaced short palindromic repeats and CRISPR-associated proteins (CRISPR-Cas) are present in more than 45% of known bacteria and 90% of known archaea.
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Comprehensive analysis of CRISPR array repeat mutations reveals subtype-specific patterns and links to spacer

Alexander Mitrofanov1, Chase L Beisel2,3, Franz Baumdicker4,5

  • 1Bioinformatics Group, Department of Computer Science, University of Freiburg, 79110 Freiburg, Germany.

Microlife
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Summary

Mutation patterns in Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) arrays reveal higher mutation rates in terminal repeats and subtype-specific variations, impacting CRISPR-Cas system evolution.

Keywords:
CRISPR subtypesCRISPR-Casdefense systemsrepeat evolutionrepeat mutationspacer dynamicsspacer evolution

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Area of Science:

  • Microbiology
  • Genetics
  • Molecular Biology

Background:

  • Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and CRISPR-associated (Cas) proteins provide adaptive immunity in prokaryotes.
  • CRISPR arrays, composed of repeats and spacers, are essential for recognizing and degrading foreign DNA.
  • The mutational dynamics of CRISPR repeat sequences are not well understood, yet are critical for system function.

Purpose of the Study:

  • To investigate mutation patterns in CRISPR array repeat sequences across diverse prokaryotic genomes.
  • To understand the evolutionary forces shaping repeat sequence integrity and their relationship with spacer dynamics.

Main Methods:

  • Analysis of 56,343 CRISPR arrays from 25,628 prokaryotic genomes.
  • Comparative assessment of mutation frequencies in terminal versus internal repeat sequences.
  • Examination of mutation patterns across different CRISPR subtypes.

Main Results:

  • Mutation frequency is significantly higher in terminal repeats compared to internal repeats across all CRISPR system types.
  • Unexpected variation in mutation patterns exists among different CRISPR subtypes, indicating diverse evolutionary pressures.
  • Hotspots for terminal repeat mutations correlate with regions of high spacer conservation, suggesting a link between repeat mutations and spacer dynamics.

Conclusions:

  • CRISPR repeat mutation dynamics are complex and vary significantly across CRISPR subtypes.
  • Repeat mutations may influence spacer retention or deletion, highlighting an evolutionary trade-off between CRISPR array stability and adaptability.
  • Understanding these dynamics is crucial for deciphering the evolution and function of CRISPR-Cas adaptive immunity.