Faculty of Marine Science, Ningbo University, Ningbo, 315211, China.
Collaborative Innovation Center for Zhejiang Marine High-Efficiency and Healthy Aquaculture, Ningbo, 315211, China.
Appl Microbiol Biotechnol. 2018 Apr;102(7):3315-3326. doi: 10.1007/s00253-018-8874-z. Epub 2018 Mar 1.
One common notion is emerging that gut eukaryotes are commensal or beneficial, rather than detrimental. To date, however, surprisingly few studies have been taken to discern the factors that govern the assembly of gut eukaryotes, despite growing interest in the dysbiosis of gut microbiota-disease relationship. Herein, we firstly explored how the gut eukaryotic microbiotas were assembled over shrimp postlarval to adult stages and a disease progression. The gut eukaryotic communities changed markedly as healthy shrimp aged, and converged toward an adult-microbiota configuration. However, the adult-like stability was distorted by disease exacerbation. A null model untangled that the deterministic processes that governed the gut eukaryotic assembly tended to be more important over healthy shrimp development, whereas this trend was inverted as the disease progressed. After ruling out the baseline of gut eukaryotes over shrimp ages, we identified disease-discriminatory taxa (species level afforded the highest accuracy of prediction) that characteristic of shrimp health status. The profiles of these taxa contributed an overall 92.4% accuracy in predicting shrimp health status. Notably, this model can accurately diagnose the onset of shrimp disease. Interspecies interaction analysis depicted how the disease-discriminatory taxa interacted with one another in sustaining shrimp health. Taken together, our findings offer novel insights into the underlying ecological processes that govern the assembly of gut eukaryotes over shrimp postlarval to adult stages and a disease progression. Intriguingly, the established model can quantitatively and accurately predict the incidences of shrimp disease.
有一种普遍的观点认为,肠道真核生物是共生的或有益的,而不是有害的。然而,迄今为止,尽管人们对肠道微生物群失调与疾病的关系越来越感兴趣,但很少有研究致力于辨别控制肠道真核生物组装的因素。在这里,我们首先探索了肠道真核微生物群如何在虾幼体到成体阶段和疾病进展过程中组装。随着健康虾的生长,肠道真核群落发生了显著变化,并向成体微生物群落结构收敛。然而,疾病的恶化使成人样的稳定性发生了扭曲。一个零模型揭示了控制肠道真核生物组装的确定性过程在健康虾的发育过程中往往更为重要,而随着疾病的进展,这种趋势发生了逆转。在排除了虾龄对肠道真核生物的基线后,我们确定了疾病有区别的分类群(在物种水平上提供了最高的预测准确性),这些分类群是虾健康状况的特征。这些分类群的特征总体上可以准确预测 92.4%的虾健康状况。值得注意的是,该模型可以准确诊断虾病的发生。种间相互作用分析描绘了疾病有区别的分类群如何相互作用以维持虾的健康。总之,我们的研究结果为控制虾幼体到成体阶段和疾病进展过程中肠道真核生物组装的潜在生态过程提供了新的见解。有趣的是,所建立的模型可以定量和准确地预测虾病的发生。