2020
DOI: 10.1186/s40168-020-00879-w
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Fine-scale succession patterns and assembly mechanisms of bacterial community of Litopenaeus vannamei larvae across the developmental cycle

Abstract: Background Microbiome assembly in early life may have a long-term impact on host health. Larval nursery is a crucial period that determines the success in culture of Litopenaeus vannamei, the most productive shrimp species in world aquaculture industry. However, the succession patterns and assembly mechanisms of larval shrimp bacterial community still lack characterization at a fine temporal scale. Here, using a high-frequency sampling strategy and 16S rRNA gene amplicon sequencing, we investigated dynamics of… Show more

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Cited by 64 publications
(71 citation statements)
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“…However, these predictions based on the 16S rRNA gene amplicon sequencing data could be limited because the actual functions of the full metagenome likely differ, although amplicon-based predictions might be highly correlated with functional profiles based on shotgun metagenomics sequencing data [ 49 ]. To increase the accuracy of predictions, we used the weighted NSTI value, which is a measure of how closely related the ASVs in each sample are to the reference genomes in the database [ 50 ]. Analysis was conducted after excluding ASVs presenting weighted NSTI values of 0.15 or greater, indicating generally unreliable prediction [ 49 ].…”
Section: Discussionmentioning
confidence: 99%
“…However, these predictions based on the 16S rRNA gene amplicon sequencing data could be limited because the actual functions of the full metagenome likely differ, although amplicon-based predictions might be highly correlated with functional profiles based on shotgun metagenomics sequencing data [ 49 ]. To increase the accuracy of predictions, we used the weighted NSTI value, which is a measure of how closely related the ASVs in each sample are to the reference genomes in the database [ 50 ]. Analysis was conducted after excluding ASVs presenting weighted NSTI values of 0.15 or greater, indicating generally unreliable prediction [ 49 ].…”
Section: Discussionmentioning
confidence: 99%
“…For aquatic animals like Ctenopharyngodon idellus , Siniperca chuatsi , and Silurus meridionalis , the intestinal microbiota diversity declines with host development ( Stephens et al, 2015 ; Wong et al, 2015 ; Yan et al, 2016 ). Furthermore, some studies have demonstrated that the bacterial alpha diversity indexes show a U-shaped pattern along with host development in Litopenaeus vannamei , that is, the diversity of the intestinal microbiota reveals a downward trend in the early developmental period ( Wang et al, 2020 ). P. clarkii has a very complex early life history, with changes in feeding habits and morphology, as well as later physiological states such as sexual maturation that may have an impact on the intestinal microbiota.…”
Section: Discussionmentioning
confidence: 99%
“…As a result, the availability of fine-scale resolution data on bacterial community dynamics is still limited in many fields. One example hereof is the aquaculture sector ( 1 ), where the development of effective management strategies to reduce the occurrence of diseases is hampered by our limited knowledge of the microbial ecology of these systems. Additionally, routine monitoring schemes in aquaculture farms still rely mainly on (selective) plating, which prohibits accurate description of general dysbiotic states and specific disease outbreaks.…”
Section: Introductionmentioning
confidence: 99%