Donaldson Logan W
Department of Biology, York University, Toronto, ON M3J 1P3, Canada.
Antibiotics (Basel). 2021 Oct 21;10(11):1282. doi: 10.3390/antibiotics10111282.
Despite decades of intensive research on bacteriophage lambda, a relatively uncharacterized region remains between the and genes. Collectively, region genes are expressed during the earliest stages of the lytic developmental cycle and are capable of affecting the molecular events associated with the lysogenic-lytic developmental decision. In Shiga toxin-producing (STEC) and enterohemorragic (EHEC) that are responsible for food- and water-borne outbreaks throughout the world, there are distinct differences of region genes from their counterparts in lambda phage. Together, these differences may help EHEC-specific phage and their bacterial hosts adapt to the complex environment within the human intestine. Only one region protein, Ea8.5, has been solved to date. Here, I have used the AlphaFold and RoseTTAFold machine learning algorithms to predict the structures of six region proteins from lambda and STEC/EHEC phages. Together, the models suggest possible roles for region proteins in transcription and the regulation of RNA polymerase.
尽管对噬菌体λ进行了数十年的深入研究，但在和基因之间仍存在一个相对未被表征的区域。总体而言，区域基因在裂解发育周期的最早阶段表达，并能够影响与溶原-裂解发育决定相关的分子事件。在导致全球食源性和水源性疾病暴发的产志贺毒素大肠杆菌（STEC）和肠出血性大肠杆菌（EHEC）中，区域基因与λ噬菌体中的对应基因存在明显差异。这些差异共同作用，可能有助于EHEC特异性噬菌体及其细菌宿主适应人类肠道内的复杂环境。迄今为止，仅解析出一种区域蛋白Ea8.5的结构。在此，我使用了AlphaFold和RoseTTAFold机器学习算法来预测来自λ噬菌体和STEC/EHEC噬菌体的六种区域蛋白的结构。这些模型共同表明了区域蛋白在转录和RNA聚合酶调控中的可能作用。
