Literature DB >> 29497796

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

Jinbo Xiong1,2, Weina Yu3,4, Wenfang Dai3,4, Jinjie Zhang3, Qiongfen Qiu3, Changrong Ou3.   

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.

Entities:  

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

Mesh:

Year:  2018        PMID: 29497796     DOI: 10.1007/s00253-018-8874-z

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  3 in total

1.  Quantitative PCR Analysis of Gut Disease-Discriminatory Phyla for Determining Shrimp Disease Incidence.

Authors:  Weina Yu; Jinxuan Cao; Wenfang Dai; Qiongfen Qiu; Jinbo Xiong
Journal:  Appl Environ Microbiol       Date:  2018-08-31       Impact factor: 4.792

2.  Fine-scale succession patterns and assembly mechanisms of bacterial community of Litopenaeus vannamei larvae across the developmental cycle.

Authors:  Yanting Wang; Kai Wang; Lei Huang; Pengsheng Dong; Sipeng Wang; Heping Chen; Zheng Lu; Dandi Hou; Demin Zhang
Journal:  Microbiome       Date:  2020-07-03       Impact factor: 14.650

3.  The emerging pathogen Enterocytozoon hepatopenaei drives a degenerative cyclic pattern in the hepatopancreas microbiome of the shrimp (Penaeus vannamei).

Authors:  Jesús Antonio López-Carvallo; Roberto Cruz-Flores; Arun K Dhar
Journal:  Sci Rep       Date:  2022-08-30       Impact factor: 4.996

  3 in total

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