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Updated: Aug 14, 2026

Detection of the pH-dependent Activity of Escherichia coli Chaperone HdeB In Vitro and In Vivo
Published on: October 23, 2016
How evolutionary pressure against protein aggregation shaped chaperone specificity
Frederic Rousseau1, Luis Serrano, Joost W H Schymkowitz
1Switch Laboratory, Flemish Interuniversity Institute for Biotechnology, Free University Brussels, Pleinlaan 2, 1050 Brussels, Belgium. frederic.rousseau@vub.ac.be
Abstract:
As protein aggregation is potentially lethal, control of protein conformation by molecular chaperones is essential for cellular organisms. This is especially important during protein expression and translocation, since proteins are then unfolded and therefore most susceptible to form non-native interactions. Using TANGO, a statistical mechanics algorithm to predict protein aggregation, we here analyse the aggregation propensities of 28 complete proteomes. Our results show that between 10% and 20% of the residues in these proteomes are within aggregating protein segments and that this represents a lower limit for the aggregation tendency of globular proteins. Further, we show that not only evolution strongly pressurizes aggregation downwards by minimizing the amount of strongly aggregating sequences but also by selectively capping strongly aggregating hydrophobic protein sequences with arginine, lysine and proline. These residues are strongly favoured at these positions as they function as gatekeepers that are most efficient at opposing aggregation. Finally, we demonstrate that the substrate specificity of different unrelated chaperone families is geared by these gatekeepers. Chaperones face the difficulty of having to combine substrate affinity for a broad range of hydrophobic sequences and selectivity for those hydrophobic sequences that aggregate most strongly. We show that chaperones achieve these requirements by preferentially binding hydrophobic sequences that are capped by positively charged gatekeeper residues. In other words, targeting evolutionarily selected gatekeepers allows chaperones to prioritize substrate recognition according to aggregation propensity.
Insights
Cellular organisms rely on molecular chaperones to prevent lethal protein aggregation. Evolution minimizes aggregation by capping hydrophobic sequences with gatekeeper residues, which chaperones use to identify and bind proteins prone to aggregation.
Area of Science:
- Biochemistry
- Molecular Biology
- Evolutionary Biology
Background:
- Protein aggregation poses a lethal threat to cells, necessitating control by molecular chaperones.
- Unfolded proteins during expression and translocation are highly susceptible to non-native interactions and aggregation.
Purpose of the Study:
- To analyze protein aggregation propensities across 28 complete proteomes using the TANGO algorithm.
- To investigate evolutionary strategies for minimizing protein aggregation.
- To understand how molecular chaperones recognize and bind aggregation-prone substrates.
Main Methods:
- Utilized TANGO, a statistical mechanics algorithm, for predicting protein aggregation.
- Analyzed aggregation propensities in 28 complete proteomes.
- Examined the role of specific amino acid residues (arginine, lysine, proline) as aggregation gatekeepers.
Main Results:
- 10-20% of residues in proteomes are within aggregating segments, representing a lower limit for globular protein aggregation.
- Evolution minimizes aggregation by reducing strongly aggregating sequences and capping them with gatekeeper residues (arginine, lysine, proline).
- Chaperone substrate specificity is dictated by these gatekeepers, enabling selective binding of aggregation-prone hydrophobic sequences.
Conclusions:
- Evolutionary pressure actively suppresses protein aggregation through sequence design and gatekeeper residues.
- Gatekeeper residues (arginine, lysine, proline) are crucial for chaperones to selectively bind and manage aggregation-prone proteins.
- Chaperone-substrate interactions are finely tuned by evolutionarily selected gatekeepers, ensuring efficient recognition of potentially aggregating proteins.
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