Ganz Holly H, Doroud Ladan, Firl Alana J, Hird Sarah M, Eisen Jonathan A, Boyce Walter M
Genome Center, University of California, Davis, Davis, California, USA.
Department of Computer Science, University of California, Davis, Davis, California, USA.
mSystems. 2017 Feb 28;2(1). doi: 10.1128/mSystems.00188-16. eCollection 2017 Jan-Feb.
Waterfowl, especially ducks and geese, are primary reservoirs for influenza A viruses (IAVs) that evolve and emerge as important pathogens in domestic animals and humans. In contrast to humans, where IAVs infect the respiratory tract and cause significant morbidity and mortality, IAVs infect the gastrointestinal tract of waterfowl and cause little or no pathology and are spread by fecal-oral transmission. For this reason, we examined whether IAV infection is associated with differences in the cloacal microbiome of mallards (), an important host of IAVs in North America and Eurasia. We characterized bacterial community composition by sequencing the V4 region of 16S rRNA genes. IAV-positive mallards had lower species diversity, richness, and evenness than IAV-negative mallards. Operational taxonomic unit (OTU) cooccurrence patterns were also distinct depending on infection status. Network analysis showed that IAV-positive mallards had fewer significant cooccurring OTUs and exhibited fewer coassociation patterns among those OTUs than IAV-negative mallards. These results suggest that healthy mallards have a more robust and complex cloacal microbiome. By combining analytical approaches, we identified 41 bacterial OTUs, primarily representatives of spp., , and , contributing to the observed differences. This study found that IAV-infected wild mallards exhibited strong differences in microbiome composition relative to noninfected mallards and identified a concise set of putative biomarker OTUs. Using Random Forest, a supervised machine learning method, we verified that these 41 bacterial OTUs are highly predictive of infection status. Seasonal influenza causes 3 to 5 million severe illnesses and 250,000 to 500,000 human deaths each year. While pandemic influenza viruses emerge only periodically, they can be devastating-for example, the 1918 H1N1 pandemic virus killed more than 20 million people. IAVs infect the respiratory tract and cause significant morbidity and mortality in humans. In contrast, IAVs infect the gastrointestinal tract of waterfowl, producing little pathology. Recent studies indicated that viruses can alter the microbiome at the respiratory and gastrointestinal mucosa, but there are no reports of how the microbiota of the natural host of influenza is affected by infection. Here we find that the mallard microbiome is altered during IAV infection. Our results suggest that detailed examination of humans and animals infected with IAVs may reveal individualized microbiome profiles that correspond to health and disease. Moreover, future studies should explore whether the altered microbiome facilitates maintenance and transmission of IAVs in waterfowl populations.
水禽,尤其是鸭和鹅,是甲型流感病毒(IAV)的主要宿主,这些病毒在进化过程中成为家畜和人类的重要病原体。与人类不同,IAV在人类中感染呼吸道并导致显著的发病率和死亡率,而在水禽中,IAV感染胃肠道,几乎不引起病变或不引起病变,通过粪口传播。因此,我们研究了IAV感染是否与绿头鸭泄殖腔微生物群的差异有关,绿头鸭是北美和欧亚大陆IAV的重要宿主。我们通过对16S rRNA基因的V4区域进行测序来表征细菌群落组成。IAV阳性的绿头鸭比IAV阴性的绿头鸭具有更低的物种多样性、丰富度和均匀度。操作分类单元(OTU)的共现模式也因感染状态而异。网络分析表明,IAV阳性的绿头鸭与IAV阴性的绿头鸭相比,显著共现的OTU更少,且这些OTU之间的共关联模式也更少。这些结果表明,健康的绿头鸭具有更强大和复杂的泄殖腔微生物群。通过结合分析方法,我们鉴定出41个细菌OTU,主要是 属、 属和 属的代表,它们导致了观察到的差异。本研究发现,感染IAV的野生绿头鸭与未感染的绿头鸭相比,微生物群组成存在显著差异,并鉴定出一组简洁的假定生物标志物OTU。使用随机森林(一种监督式机器学习方法),我们验证了这41个细菌OTU对感染状态具有高度预测性。季节性流感每年导致300万至500万例严重疾病和25万至50万人死亡。虽然大流行性流感病毒只是周期性出现,但它们可能具有毁灭性——例如,1918年的H1N1大流行病毒导致超过2000万人死亡。IAV感染人类呼吸道并导致显著的发病率和死亡率。相比之下,IAV感染水禽的胃肠道,几乎不产生病变。最近的研究表明,病毒可以改变呼吸道和胃肠道黏膜的微生物群,但没有关于流感自然宿主的微生物群如何受到感染影响的报道。在这里,我们发现绿头鸭在IAV感染期间微生物群会发生改变。我们的结果表明,对感染IAV的人和动物进行详细检查可能会揭示与健康和疾病相对应的个性化微生物群特征。此外,未来的研究应该探索改变后的微生物群是否有助于IAV在水禽种群中的维持和传播。