Changes in intestinal bacterial communities are closely associated with shrimp disease severity
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Increasing evidence has revealed a close association between intestinal bacterial communities and human health. However, given that host phylogeny shapes the composition of intestinal microbiota, it is unclear whether changes in intestinal microbiota structure in relation to shrimp health status. In this study, we collected shrimp and seawater samples from ponds with healthy and diseased shrimps to understand variations in bacterial communities among habitats (water and intestine) and/or health status. The bacterial communities were clustered according to the original habitat and health status. Habitat and health status constrained 14.6 and 7.7 % of the variation in bacterial communities, respectively. Changes in shrimp intestinal bacterial communities occurred in parallel with changes in disease severity, reflecting the transition from a healthy to a diseased state. This pattern was further evidenced by 38 bacterial families that were significantly different in abundance between healthy and diseased shrimps; moderate changes were observed in shrimps with sub-optimal health. In addition, within a given bacterial family, the patterns of enrichment or decrease were consistent with the known functions of those bacteria. Furthermore, the identified 119 indicator taxa exhibited a discriminative pattern similar to the variation in the community as a whole. Overall, this study suggests that changes in intestinal bacterial communities are closely associated with the severity of shrimp disease and that indicator taxa can be used to evaluate shrimp health status.
KeywordsShrimp intestinal bacterial community Disease severity Indicator taxa Discriminative pattern
This work was financially supported by the National High Technology Research and Development Program of China (863 Program, 2012AA092000), the Natural Science Foundation of Ningbo City (2013A610169), the Natural Science Foundation (XYL14004), the Experimental Technology Research and Development Project (SYJS201405), and the KC Wong Magna Fund of Ningbo University.
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