The host phylogeny determines viral infectivity and replication across Staphylococcus host species.
The host phylogeny determines viral infectivity and replication across Staphylococcus host species.
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宿主遗传决定了葡萄球菌宿主物种中的病毒感染性和复制。
DOI：
10.1371/journal.ppat.1011433
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发表时间：
2023-06
期刊：
影响因子：
6.7
通讯作者：
中科院分区：
文献类型：
--
作者：
病毒宿主转移，即病毒传播并感染新的宿主物种，是新出现的传染病的主要来源。真核宿主物种之间的遗传相似性已被证明是病毒宿主转移结果的重要决定因素，但目前尚不清楚这是否是原核生物的情况，其中抗病毒防御可以通过水平基因转移传递并迅速进化。在此，我们测定了64株葡萄球菌科细菌（48株金黄色葡萄球菌和16株非金黄色葡萄球菌）的敏感性。金黄色葡萄球菌属，跨越2个属）到噬菌体ISP，其目前正在研究用于噬菌体治疗。使用三种方法-空斑试验，光密度（OD）测定，和定量（q）PCR-我们发现，主机的遗传学解释了很大比例的变化，在整个主机面板ISP的敏感性。这些模式在只有S.金黄色葡萄球菌菌株和模型与来自每个葡萄球菌科物种的单一代表，表明这些系统发育效应在宿主物种内和之间都是保守的。我们发现使用OD和qPCR评估的易感性之间的正相关性和空斑检测和OD或qPCR之间的可变相关性，表明单独的空斑检测可能不足以评估宿主范围。此外，我们表明，细菌宿主之间的系统发育关系通常可以用来预测细菌菌株的易感性噬菌体感染时，密切相关的主机的易感性是已知的，虽然这种方法产生了很大的预测误差，在多个菌株的同源性是没有信息的。总之，我们的研究结果表明，细菌宿主进化相关性的能力，解释差异的易感性噬菌体感染，与ISP的发展，无论是作为一种噬菌体治疗治疗和作为一个实验系统的研究病毒宿主的转变的影响。病毒宿主转移，即病毒从另一个物种跳到新的宿主，是新出现的传染病的主要来源。病毒宿主转移已被证明更有可能在密切相关的动物和植物物种之间发生。然而，关于相关性如何预测细菌宿主的易感性，还有很多东西要学。在这里，我们使用了一组64种葡萄球菌和一种感染它们的病毒来研究宿主物种之间的关系如何影响它们对感染的易感性。我们发现，在整个主机面板的感染易感性的变化很大，大部分的变化可以解释主机之间的关系。使用三种评估易感性的方法一致地观察到这种效应，并且可以在物种内和物种之间观察到这种效应。此外，我们发现，主机之间的关系，使我们能够预测一个未知的主机的易感性与一定的准确性，虽然有易感性无法预测的情况下。总体而言，这表明密切相关的宿主将表现出相似的感染易感性，并且细菌宿主之间的关系可用于预测未知宿主的易感性，但成功率有限。
Virus host shifts, where a virus transmits to and infects a novel host species, are a major source of emerging infectious disease. Genetic similarity between eukaryotic host species has been shown to be an important determinant of the outcome of virus host shifts, but it is unclear if this is the case for prokaryotes where anti-virus defences can be transmitted by horizontal gene transfer and evolve rapidly. Here, we measure the susceptibility of 64 strains of Staphylococcaceae bacteria (48 strains of Staphylococcus aureus and 16 non-S. aureus species spanning 2 genera) to the bacteriophage ISP, which is currently under investigation for use in phage therapy. Using three methods–plaque assays, optical density (OD) assays, and quantitative (q)PCR–we find that the host phylogeny explains a large proportion of the variation in susceptibility to ISP across the host panel. These patterns were consistent in models of only S. aureus strains and models with a single representative from each Staphylococcaceae species, suggesting that these phylogenetic effects are conserved both within and among host species. We find positive correlations between susceptibility assessed using OD and qPCR and variable correlations between plaque assays and either OD or qPCR, suggesting that plaque assays alone may be inadequate to assess host range. Furthermore, we demonstrate that the phylogenetic relationships between bacterial hosts can generally be used to predict the susceptibility of bacterial strains to phage infection when the susceptibility of closely related hosts is known, although this approach produced large prediction errors in multiple strains where phylogeny was uninformative. Together, our results demonstrate the ability of bacterial host evolutionary relatedness to explain differences in susceptibility to phage infection, with implications for the development of ISP both as a phage therapy treatment and as an experimental system for the study of virus host shifts. Virus host shifts, where a virus jumps into a new host from another species, are a major source of emerging infectious diseases. Virus host shifts have been shown to be more likely between animals and plant species that are closely related. However, there is much to learn about how relatedness predicts susceptibility in bacterial hosts. Here, we used a panel of 64 Staphylococcus bacteria and a virus that infects them to investigate how the relationship between host species influences their susceptibility to infection. We find high variation in susceptibility to infection across the host panel and that most of that variation can be explained by the relationship between hosts. This effect is seen consistently using three methods for assessing susceptibility and can be seen both within and between species. Additionally, we find that the relationship between hosts allows us to predict the susceptibility of an unknown host with some accuracy, although there are instances where susceptibility cannot be predicted. Overall, this suggests that closely related hosts will show similar susceptibility to infection and that the relationship between bacterial hosts can be used to predict the susceptibility of an unknown host with limited success.
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DOI：
10.1098/rstb.2020.0358
发表时间：
2021-11-08
期刊：
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
影响因子：
--
作者：
Carlson CJ;Farrell MJ;Grange Z;Han BA;Mollentze N;Phelan AL;Rasmussen AL;Albery GF;Bett B;Brett-Major DM;Cohen LE;Dallas T;Eskew EA;Fagre AC;Forbes KM;Gibb R;Halabi S;Hammer CC;Katz R;Kindrachuk J;Muylaert RL;Nutter FB;Ogola J;Olival KJ;Rourke M;Ryan SJ;Ross N;Seifert SN;Sironen T;Standley CJ;Taylor K;Venter M;Webala PW
通讯作者：
Webala PW
影响因子：
3.1
作者：
Cramton, SE;Gerke, C;Götz, F
通讯作者：
Götz, F
影响因子：
3.2
作者：
CHATTERJEE, AN
通讯作者：
CHATTERJEE, AN
DOI：
10.3390/v14050938
发表时间：
2022-04-29
期刊：
Viruses
影响因子：
--
作者：
通讯作者：
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影响因子：
10.7
作者：
Drummond, Alexei J.;Suchard, Marc A.;Rambaut, Andrew
通讯作者：
Rambaut, Andrew