School of Marine Sciences, Ningbo University, Ningbo, China.
Collaborative Innovation Center for Zhejiang Marine High-Efficiency and Healthy Aquaculture, Ningbo University, Ningbo, China.
Mol Ecol. 2018 Sep;27(18):3686-3699. doi: 10.1111/mec.14822. Epub 2018 Aug 22.
The host-associated microbiota is increasingly recognized to facilitate host fitness, but the understanding of the underlying ecological processes that govern the host-bacterial colonization over development and, particularly, under disease remains scarce. Here, we tracked the gut microbiota of shrimp over developmental stages and in response to disease. The stage-specific gut microbiotas contributed parallel changes to the predicted functions, while shrimp disease decoupled this intimate association. After ruling out the age-discriminatory taxa, we identified key features indicative of shrimp health status. Structural equation modelling revealed that variations in rearing water led to significant changes in bacterioplankton communities, which subsequently affected the shrimp gut microbiota. However, shrimp gut microbiotas are not directly mirrored by the changes in rearing bacterioplankton communities. A neutral model analysis showed that the stochastic processes that govern gut microbiota tended to become more important as healthy shrimp aged, with 37.5% stochasticity in larvae linearly increasing to 60.4% in adults. However, this defined trend was skewed when disease occurred. This departure was attributed to the uncontrolled growth of two candidate pathogens (over-represented taxa). The co-occurrence patterns provided novel clues on how the gut commensals interact with candidate pathogens in sustaining shrimp health. Collectively, these findings offer updated insight into the ecological processes that govern the host-bacterial colonization in shrimp and provide a pathological understanding of polymicrobial infections.
宿主相关的微生物群被越来越多地认为有助于宿主的健康,但对于控制宿主-细菌定植的潜在生态过程的理解仍然很少,特别是在疾病条件下。在这里,我们跟踪了虾在发育阶段和对疾病的反应中的肠道微生物群。特定于阶段的肠道微生物群与预测功能平行变化,而虾病则使这种密切的联系脱钩。在排除了年龄歧视性分类群之后,我们确定了指示虾健康状况的关键特征。结构方程模型显示,养殖水的变化导致了浮游细菌群落的显著变化,从而影响了虾的肠道微生物群。然而,虾的肠道微生物群并没有直接反映出养殖浮游细菌群落的变化。中性模型分析表明,控制肠道微生物群的随机过程随着健康虾的年龄增长而变得更加重要,从幼虫的 37.5%随机线性增加到成年虾的 60.4%。然而,当疾病发生时,这种确定的趋势发生了偏差。这种偏离归因于两种候选病原体(过度代表的分类群)的不受控制的生长。共现模式为肠道共生菌如何与候选病原体相互作用以维持虾的健康提供了新的线索。总的来说,这些发现为控制虾的宿主-细菌定植的生态过程提供了最新的见解,并为多微生物感染提供了病理学的理解。