Format

Send to

Choose Destination
Appl Microbiol Biotechnol. 2018 Apr;102(7):3315-3326. doi: 10.1007/s00253-018-8874-z. Epub 2018 Mar 1.

Quantitative prediction of shrimp disease incidence via the profiles of gut eukaryotic microbiota.

Xiong J1,2, Yu W3,4, Dai W3,4, Zhang J3, Qiu Q3, Ou C3.

Author information

1
Faculty of Marine Science, Ningbo University, Ningbo, 315211, China. xiongjinbo@nbu.edu.cn.
2
Collaborative Innovation Center for Zhejiang Marine High-Efficiency and Healthy Aquaculture, Ningbo, 315211, China. xiongjinbo@nbu.edu.cn.
3
Faculty of Marine Science, Ningbo University, Ningbo, 315211, China.
4
Collaborative Innovation Center for Zhejiang Marine High-Efficiency and Healthy Aquaculture, Ningbo, 315211, China.

Abstract

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.

KEYWORDS:

Disease incidence; Disease-discriminatory taxa; Gut eukaryotic community; Interspecies interaction; Null model

PMID:
29497796
DOI:
10.1007/s00253-018-8874-z
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Springer
Loading ...
Support Center