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April 25, 2026The ISME Journal0 citationsOpen Access

Engineered kin recognition specificities in the TraA cell surface receptor

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TGTingting GuoUniversity of WyomingDWDaniel Wall

Key Points

  • This research aims to uncover the molecular basis of specificity in the TraA cell surface receptor and its role in kin recognition.
  • Generated a targeted TraA mutant library with thousands of variants.
  • Screened for variants with altered recognition profiles and interactions.
  • Identified key residues affecting specificity through systematic substitutions.
  • Certain TraA mutations led to promiscuous interactions and altered specificity profiles.
  • Identification of key residues revealed how changes affect recognition outcomes.
  • Proposed an evolutionary model in which new specificities arise via promiscuous intermediate states.

Abstract

Recognizing self-versus nonself is a crucial step in the development of multicellularity. The social bacterium Myxococcus xanthus is a tractable model organism for studying this transition from single-cell to multicellular life. The polymorphic cell-surface receptor TraA directs cooperative behaviors toward kin. TraA is a highly specific receptor, capable of recognizing other TraA proteins with identical or nearly identical sequences by homotypic binding, but the molecular basis of this specificity remains poorly understood. Here, we generated a targeted TraA mutant library comprising thousands of variants with substitutions at 10 predicted specificity-determining residues. Screening revealed variants with altered recognition profiles, often resulting in promiscuous and/or heterotypic TraA-TraA interactions. We further identified key residues that govern specificity, as substitutions at these positions rewired recognition outcomes. Finally, we propose an evolutionary model in which new TraA specificities arise through promiscuous intermediate states shaped by reward-punishment dynamics. Together, these findings demonstrate the malleability of TraA specificity and provide molecular and evolutionary insight into social recognition.

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Cite This Study

Guo et al. (2026) studied this question.

synapsesocial.com/papers/69ec5a6b88ba6daa22dabf81https://doi.org/10.1093/ismejo/wrag102
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