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病毒合并感染受宿主生态以及跨多种微生物类群和环境的病毒-病毒相互作用影响。

Viral coinfection is shaped by host ecology and virus-virus interactions across diverse microbial taxa and environments.

作者信息

Díaz-Muñoz Samuel L

机构信息

Department of Biology, Center for Genomics and Systems Biology, New York University, 12 Waverly Place, New York, NY 10003, USA.

出版信息

Virus Evol. 2017 Apr 27;3(1):vex011. doi: 10.1093/ve/vex011. eCollection 2017 Jan.

Abstract

Infection of more than one virus in a host, coinfection, is common across taxa and environments. Viral coinfection can enable genetic exchange, alter the dynamics of infections, and change the course of viral evolution. Yet, a systematic test of the factors explaining variation in viral coinfection across different taxa and environments awaits completion. Here I employ three microbial data sets of virus-host interactions covering cross-infectivity, culture coinfection, and single-cell coinfection (total: 6,564 microbial hosts, 13,103 viruses) to provide a broad, comprehensive picture of the ecological and biological factors shaping viral coinfection. I found evidence that ecology and virus-virus interactions are recurrent factors shaping coinfection patterns. Host ecology was a consistent and strong predictor of coinfection across all three data sets: cross-infectivity, culture coinfection, and single-cell coinfection. Host phylogeny or taxonomy was a less consistent predictor, being weak or absent in the cross-infectivity and single-cell coinfection models, yet it was the strongest predictor in the culture coinfection model. Virus-virus interactions strongly affected coinfection. In the largest test of superinfection exclusion to date, prophage sequences reduced culture coinfection by other prophages, with a weaker effect on extrachromosomal virus coinfection. At the single-cell level, prophage sequences eliminated coinfection. Virus-virus interactions also culture coinfection with ssDNA-dsDNA coinfections >2× more likely than ssDNA-only coinfections. The presence of CRISPR spacers was associated with a ∼50% reduction in single-cell coinfection in a marine bacteria, despite the absence of exact spacer matches in any active infection. Collectively, these results suggest the environment bacteria inhabit and the interactions among surrounding viruses are two factors consistently shaping viral coinfection patterns. These findings highlight the role of virus-virus interactions in coinfection with implications for phage therapy, microbiome dynamics, and viral infection treatments.

摘要

宿主感染多种病毒即病毒共感染,在各个生物分类群和环境中都很常见。病毒共感染能够促成基因交换,改变感染动态,并改变病毒进化进程。然而,对于解释不同生物分类群和环境中病毒共感染差异的因素,尚有待完成系统的检验。在此,我运用了三个涵盖交叉感染性、培养物共感染和单细胞共感染的病毒 - 宿主相互作用微生物数据集(总计6564个微生物宿主、13103种病毒),以全面、综合地呈现塑造病毒共感染的生态和生物学因素。我发现有证据表明,生态以及病毒 - 病毒相互作用是塑造共感染模式的反复出现的因素。宿主生态是所有三个数据集(交叉感染性、培养物共感染和单细胞共感染)中共感染的一致且强有力的预测指标。宿主系统发育或分类学是一个不太一致的预测指标,在交叉感染性和单细胞共感染模型中作用微弱或不存在,但在培养物共感染模型中是最强的预测指标。病毒 - 病毒相互作用对共感染有强烈影响。在迄今为止最大规模的超感染排斥测试中,原噬菌体序列减少了其他原噬菌体的培养物共感染,对染色体外病毒共感染的影响较弱。在单细胞水平上,原噬菌体序列消除了共感染。病毒 - 病毒相互作用还使得单链DNA - 双链DNA共感染的培养物共感染比仅单链DNA共感染的可能性高出2倍多。CRISPR间隔序列的存在与一种海洋细菌中单细胞共感染减少约50%有关,尽管在任何活跃感染中都没有精确的间隔序列匹配。总体而言,这些结果表明细菌所处的环境以及周围病毒之间的相互作用是持续塑造病毒共感染模式的两个因素。这些发现凸显了病毒 - 病毒相互作用在共感染中的作用,对噬菌体治疗、微生物组动态和病毒感染治疗具有启示意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3799/5407056/1f05d20e302b/vex011f1.jpg

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