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有利于细菌双组分信号系统串扰的进化范例。

An Evolutionary Paradigm Favoring Cross Talk between Bacterial Two-Component Signaling Systems.

机构信息

Department of Chemical Engineering, Indian Institute of Science, Bangalore, Karnataka, India.

Centre for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, Karnataka, India.

出版信息

mSystems. 2022 Dec 20;7(6):e0029822. doi: 10.1128/msystems.00298-22. Epub 2022 Oct 20.

Abstract

The prevalent paradigm governing bacterial two-component signaling systems (TCSs) is specificity, wherein the histidine kinase (HK) of a TCS exclusively activates its cognate response regulator (RR). Cross talk, where HKs activate noncognate RRs, is considered evolutionarily disadvantageous because it can compromise adaptive responses by leaking signals. Yet cross talk is observed in several bacteria. Here, to resolve this paradox, we propose an alternative paradigm where cross talk can be advantageous. We envisioned programmed environments, wherein signals appear in predefined sequences. In such environments, cross talk that primes bacteria to upcoming signals may improve adaptive responses and confer evolutionary benefits. To test this hypothesis, we employed mathematical modeling of TCS signaling networks and stochastic evolutionary dynamics simulations. We considered the comprehensive set of bacterial phenotypes, comprising thousands of distinct cross talk patterns competing in varied signaling environments. Our simulations predicted that in programmed environments phenotypes with cross talk facilitating priming would outcompete phenotypes without cross talk. In environments where signals appear randomly, bacteria without cross talk would dominate, explaining the specificity widely seen. Additionally, a testable prediction was that the phenotypes selected in programmed environments would display one-way cross talk, ensuring priming to future signals. Interestingly, the cross talk networks we deduced from available data on TCSs of Mycobacterium tuberculosis all displayed one-way cross talk, which was consistent with our predictions. Our study thus identifies potential evolutionary underpinnings of cross talk in bacterial TCSs, suggests a reconciliation of specificity and cross talk, makes testable predictions of the nature of cross talk patterns selected, and has implications for understanding bacterial adaptation and the response to interventions. Bacteria use two-component signaling systems (TCSs) to sense and respond to environmental changes. The prevalent paradigm governing TCSs is specificity, where signal flow through TCSs is insulated; leakage to other TCSs is considered evolutionarily disadvantageous. Yet cross talk between TCSs is observed in many bacteria. Here, we present a potential resolution of this paradox. We envision programmed environments, wherein stimuli appear in predefined sequences. Cross talk that primes bacteria to upcoming stimuli could then confer evolutionary benefits. We demonstrate this benefit using mathematical modeling and evolutionary simulations. Interestingly, we found signatures of predicted cross talk patterns in Mycobacterium tuberculosis. Furthermore, specificity was selected in environments where stimuli occurred randomly, thus reconciling specificity and cross talk. Implications follow for understanding bacterial evolution and for interventions.

摘要

细菌使用双组分信号系统(TCSs)来感知和响应环境变化。TCSs 的流行范式是特异性,其中 TCS 中的信号流是隔离的;信号漏到其他 TCSs 被认为是进化上不利的。然而,在许多细菌中观察到 TCS 之间的串扰。在这里,我们提出了一个潜在的解决方案。我们设想了编程环境,其中刺激物按照预定义的顺序出现。预先激活细菌对即将到来的刺激物的串扰可能会带来进化优势。我们使用数学建模和进化模拟来证明这种优势。有趣的是,我们在结核分枝杆菌中发现了预测的串扰模式的特征。此外,特异性在刺激物随机出现的环境中被选择,从而协调了特异性和串扰。这对理解细菌进化和干预有一定的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354e/9765234/d558d5120905/msystems.00298-22-f001.jpg

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