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      The implication of metabolically active Vibrio spp. in the digestive tract of Litopenaeus vannamei for its post-larval development

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          Abstract

          This work aimed to evaluate the link between the occurrence/abundance of Vibrio populations and bacterial composition in shrimp’s intestine ( Litopenaeus vannamei) during post-larval ontogenetic development and in its culture water, and the correlation of these with environmental parameters. The total and metabolically active populations of Vibrio in the digestive tract of shrimp during its post-larval development were analysed using quantitative PCR (qPCR) and reverse transcription qPCR targeting the 16S rRNA gene sequence. A lab-scale shrimp bioassay was performed for 80 days in a recirculating aquarium under strictly controlled conditions. The results indicate that the Vibrio population from shrimp’s gut is associated with its developmental stage and the environment. Multivariate analyses revealed that the presence of Vibrio spp. drove the studied system, but their metabolically active performance was related to earlier developmental stages in an aqueous environment. Also, the samples taken from water of culture units to compare the influence of the aquatic environment on the intestinal microbial community during shrimp’s ontogenetic development showed significant differences. Finally, our results revealed that Vibrio is an important member of shrimp’s gut microbiota; however, its metabolic activity seems to be highly regulated, possibly by the host and by the rest of the microbiota.

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          Species divergence and the measurement of microbial diversity.

          Diversity measurement is important for understanding community structure and dynamics, but has been particularly challenging for microorganisms. Microbial community characterization using small subunit rRNA (SSU rRNA) gene sequences has revealed an extensive, previously unsuspected diversity that we are only now beginning to understand, especially now that advanced sequencing technologies are producing datasets containing hundreds of thousands of sequences from hundreds of samples. Efforts to quantify microbial diversity often use taxon-based methods that ignore the fact that not all species are equally related, which can therefore obscure important patterns in the data. For example, alpha-diversity (diversity within communities) is often estimated as the number of species in a community (species richness), and beta-diversity (partitioning of diversity among communities) is often based on the number of shared species. Methods for measuring alpha- and beta-diversity that account for different levels of divergence between individuals have recently been more widely applied. These methods are more powerful than taxon-based methods because microorganisms in a community differ dramatically in sequence similarity, which also often correlates with phenotypic similarity in key features such as metabolic capabilities. Consequently, divergence-based methods are providing new insights into microbial community structure and function.
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            Changes in intestinal bacterial communities are closely associated with shrimp disease severity.

            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.
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              Exploring fish microbial communities to mitigate emerging diseases in aquaculture

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                Author and article information

                Contributors
                kadiya.calderon@unison.mx
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                10 July 2020
                10 July 2020
                2020
                : 10
                : 11428
                Affiliations
                [1 ]ISNI 0000 0004 1776 9385, GRID grid.428474.9, Centro de Investigación en Alimentos y Desarrollo A.C (CIAD), ; Carretera a La Victoria S/N, CP. 83304 Hermosillo, Sonora Mexico
                [2 ]ISNI 0000 0001 2193 1646, GRID grid.11893.32, Departamento de Investigaciones Científicas y Tecnológicas (DICTUS), , Universidad de Sonora, ; Blvd. Luis Donaldo Colosio S/N, CP. 83000 Hermosillo, Sonora Mexico
                [3 ]ISNI 0000 0001 2193 1646, GRID grid.11893.32, Departamento de Ingeniería Química y Metalurgia, , Universidad de Sonora, ; Blvd. Luis Donaldo Colosio S/N, CP. 83000 Hermosillo, Sonora Mexico
                Author information
                http://orcid.org/0000-0002-3684-3398
                http://orcid.org/0000-0003-4074-6731
                http://orcid.org/0000-0003-3502-6449
                Article
                68222
                10.1038/s41598-020-68222-9
                7351783
                32651435
                6e9a9341-590f-46c7-8c88-8df90ca52ede
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 February 2020
                : 11 June 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003141, Consejo Nacional de Ciencia y Tecnología;
                Award ID: 605382
                Award Recipient :
                Funded by: PROMEP-SEP
                Award ID: 218032
                Award Recipient :
                Categories
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                © The Author(s) 2020

                Uncategorized
                ecology,microbiology
                Uncategorized
                ecology, microbiology

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