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

Applied Microbiology and Biotechnology
Jinbo XiongChangrong Ou

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 s...Continue Reading

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Citations

Jul 15, 2018·Applied and Environmental Microbiology·Weina YuJinbo Xiong
Jul 10, 2018·Applied Microbiology and Biotechnology·Jinbo Xiong
Apr 25, 2020·Journal of Invertebrate Pathology·Corey C HoltMark van der Giezen

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Datasets Mentioned

BETA
DRA005998

Methods Mentioned

BETA
dissection
PCR
Illumina sequencing
environmental stresses

Software Mentioned

R Core Team
ecodist
R
Metagenomic Microbial Interaction Simulator ( MetaMIS )
Quantitative Insights Into Microbial Ecology ( QIIME
UCLUST
randomForest
Silva

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