Cavadas Bruno, Leite Marina, Pedro Nicole, Magalhães Ana C, Melo Joana, Correia Marcelo, Máximo Valdemar, Camacho Rui, Fonseca Nuno A, Figueiredo Ceu, Pereira Luísa
i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.
IPATIMUP-Instituto de Patologia e Imunologia Molecular, Universidade do Porto, 4200-135 Porto, Portugal.
Microorganisms. 2021 Jan 25;9(2):240. doi: 10.3390/microorganisms9020240.
The continuous characterization of genome-wide diversity in population and case-cohort samples, allied to the development of new algorithms, are shedding light on host ancestry impact and selection events on various infectious diseases. Especially interesting are the long-standing associations between humans and certain bacteria, such as the case of , which could have been strong drivers of adaptation leading to coevolution. Some evidence on admixed gastric cancer cohorts have been suggested as supporting - coevolution, but reliable experimental data that control both the bacterium and the host ancestries are lacking. Here, we conducted the first in vitro coinfection assays with dual human- and bacterium-matched and -mismatched ancestries, in African and European backgrounds, to evaluate the genome wide gene expression host response to . Our results showed that: (1) the host response to infection was greatly shaped by the human ancestry, with variability on innate immune system and metabolism; (2) African human ancestry showed signs of coevolution with while European ancestry appeared to be maladapted; and (3) mismatched ancestry did not seem to be an important differentiator of gene expression at the initial stages of infection as assayed here.
在人群和病例队列样本中对全基因组多样性进行持续表征,并结合新算法的开发,正在揭示宿主祖先对各种传染病的影响以及选择事件。人类与某些细菌之间长期存在的关联尤其有趣,例如 的情况,这可能是导致共同进化的适应性的强大驱动力。一些关于混合胃癌队列的证据被认为支持 共同进化,但缺乏同时控制细菌和宿主祖先的可靠实验数据。在这里,我们进行了首次体外共感染试验,在非洲和欧洲背景下,对人类和细菌匹配及不匹配的祖先进行试验,以评估全基因组基因表达宿主对 的反应。我们的结果表明:(1)宿主对 感染的反应在很大程度上受人类祖先的影响,在先天免疫系统和新陈代谢方面存在差异;(2)非洲人类祖先显示出与 共同进化的迹象,而欧洲祖先似乎适应不良;(3)如本文所检测的,在感染初期,不匹配的祖先似乎不是基因表达的重要区分因素。