Unknown

Dataset Information

0

MetA is a "thermal fuse" that inhibits growth and protects Escherichia coli at elevated temperatures.


ABSTRACT: Adaptive stress resistance in microbes is mostly attributed to the expression of stress response genes, including heat-shock proteins. Here, we report a response of E. coli to heat stress caused by degradation of an enzyme in the methionine biosynthesis pathway (MetA). While MetA degradation can inhibit growth, which by itself is detrimental for fitness, we show that it directly benefits survival at temperatures exceeding 50°C, increasing survival chances by more than 1,000-fold. Using both experiments and mathematical modeling, we show quantitatively how protein expression, degradation rates, and environmental stressors cause long-term growth inhibition in otherwise habitable conditions. Because growth inhibition can be abolished with simple mutations, namely point mutations of MetA and protease knockouts, we interpret the breakdown of methionine synthesis as a system that has evolved to halt growth at high temperatures, analogous to "thermal fuses" in engineering that shut off electricity to prevent overheating.

SUBMITTER: Schink SJ 

PROVIDER: S-EPMC10477958 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

MetA is a "thermal fuse" that inhibits growth and protects Escherichia coli at elevated temperatures.

Schink Severin J SJ   Gough Zara Z   Biselli Elena E   Huiman Mariel Garcia MG   Chang Yu-Fang YF   Basan Markus M   Gerland Ulrich U  

Cell reports 20220801 9


Adaptive stress resistance in microbes is mostly attributed to the expression of stress response genes, including heat-shock proteins. Here, we report a response of E. coli to heat stress caused by degradation of an enzyme in the methionine biosynthesis pathway (MetA). While MetA degradation can inhibit growth, which by itself is detrimental for fitness, we show that it directly benefits survival at temperatures exceeding 50°C, increasing survival chances by more than 1,000-fold. Using both expe  ...[more]

Similar Datasets

| S-EPMC4996492 | biostudies-literature
| S-EPMC8989507 | biostudies-literature
| S-EPMC9813686 | biostudies-literature
| S-EPMC1449047 | biostudies-literature
| S-EPMC2753092 | biostudies-literature
| S-EPMC7693856 | biostudies-literature
2008-06-05 | GSE9923 | GEO
| S-EPMC5187517 | biostudies-literature
| S-EPMC14620 | biostudies-literature
| S-EPMC2902570 | biostudies-literature