Dahan Yuval, Wingreen Ned S, Meir Yigal
Department of Physics, Ben Gurion University of the Negev, Beer Sheva, 84105, Israel.
Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.
PNAS Nexus. 2024 Jan 9;3(1):pgad431. doi: 10.1093/pnasnexus/pgad431. eCollection 2024 Jan.
Phages-viruses that infect bacteria-have evolved over billions of years to overcome bacterial defenses. Temperate phage, upon infection, can "choose" between two pathways: lysis-in which the phage create multiple new phage particles, which are then liberated by cell lysis, and lysogeny-where the phage's genetic material is added to the bacterial DNA and transmitted to the bacterial progeny. It was recently discovered that some phages can read information from the environment related to the density of bacteria or the number of nearby infection attempts. Such information may help phage make the right choice between the two pathways. Here, we develop a theoretical model that allows an infecting phage to change its strategy (i.e. the ratio of lysis to lysogeny) depending on an outside signal, and we find the optimal strategy that maximizes phage proliferation. While phages that exploit extra information naturally win in competition against phages with a fixed strategy, there may be costs to information, e.g. as the necessary extra genes may affect the growth rate of a lysogen or the burst size of new phage for the lysis pathway. Surprisingly, even when phages pay a large price for information, they can still maintain an advantage over phages that lack this information, indicating the high benefit of intelligence gathering in phage-bacteria warfare.
噬菌体——感染细菌的病毒——历经数十亿年的进化以克服细菌的防御机制。温和噬菌体在感染细菌后,可以在两条途径之间“做出选择”:裂解途径,即噬菌体产生多个新的噬菌体颗粒,随后通过细胞裂解释放出来;溶原途径,即噬菌体的遗传物质被添加到细菌DNA中并传递给细菌后代。最近发现,一些噬菌体能够从与细菌密度或附近感染尝试次数相关的环境中读取信息。此类信息可能有助于噬菌体在这两条途径之间做出正确选择。在此,我们构建了一个理论模型,该模型允许感染细菌的噬菌体根据外部信号改变其策略(即裂解与溶原的比例),并且我们找到了使噬菌体增殖最大化的最优策略。虽然利用额外信息的噬菌体在与采用固定策略的噬菌体竞争中自然会获胜,但获取信息可能存在代价,例如所需的额外基因可能会影响溶原菌的生长速率或裂解途径中新噬菌体的爆发量。令人惊讶的是,即使噬菌体为获取信息付出高昂代价,它们仍能保持相对于缺乏此类信息的噬菌体的优势,这表明在噬菌体与细菌的对抗中收集情报具有很高的益处。