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养殖系统中长鳍黄尾鰤幼鱼肠道微生物区系的结构及其对代谢的预测性贡献。

Structure and predictive metabolic contribution of intestinal microbiota of Longfin yellowtail (Seriola rivoliana) juveniles in aquaculture systems.

机构信息

Consejo Nacional de Ciencia y Tecnología (CONACyT), Centro de Investigación en Materiales Avanzados (CIMAV), Miguel de Cervantes 120, Complejo Industrial Chihuahua, C.P. 31136, Chihuahua, CHIH, Mexico.

Centro de Investigaciones Biológicas del Noroeste (CIBNOR), Av. IPN 195, Col Playa Palo de Santa Rita Sur, C.P. 23096, La Paz, BCS, Mexico.

出版信息

Mol Biol Rep. 2020 Dec;47(12):9627-9636. doi: 10.1007/s11033-020-05970-x. Epub 2020 Nov 7.

DOI:10.1007/s11033-020-05970-x
PMID:33159677
Abstract

Seriola rivoliana intestinal microbiota (IM) was characterised under aquaculture conditions through 16S rRNA amplicon sequencing. Specimens of 30 days after hatching (DAH) were maintained in three tanks and fed under the same environmental conditions for characterisation 15 days prior to sampling. Three fish were randomly taken from each tank; total DNA extraction of the gut microbiota was performed to characterise microbial composition and its metabolic prediction. The V3 hypervariable region of the 16S rRNA was amplified and sequenced with Illumina pair-end technology. The prokaryotic components in the S. rivoliana intestine were dominated mainly by the phyla Proteobacteria, Firmicutes, Bacteroidetes, Cyanobacteria and Actinobacteria. No significant differences in beta diversity were detected in the three samples (tanks). However in alpha diversity, they were detected in juveniles of the same cohort within the same group, as exemplified by enrichment of certain bacterial groups, mainly of the Clostridia class, which were specific in each fish within the same tank. The metabolic prediction analyses suggested that S. rivoliana IM contribute to the metabolism of amino acids, carbohydrates, lipids, and immune system. This study provides the first IM characterisation under rearing conditions of S. rivoliana-a species with broad economic potential-and contributes to novel information for potential use of probiotics in future trials.

摘要

采用 16S rRNA 扩增子测序技术,对养殖条件下的横带九棘鲈肠道微生物群(IM)进行了研究。在采样前 15 天,将 30 日龄(DAH)的标本分别饲养在三个水族箱中,并在相同的环境条件下进行喂养,用于特征描述。从每个水族箱中随机抽取 3 条鱼;对肠道微生物群的总 DNA 进行提取,以对微生物组成及其代谢进行预测。采用 Illumina 双端技术对 16S rRNA 的 V3 高变区进行扩增和测序。横带九棘鲈肠道中的原核生物主要由变形菌门、厚壁菌门、拟杆菌门、蓝细菌门和放线菌门组成。在三个样本(水族箱)中未检测到β多样性的显著差异。然而,在α多样性方面,在同一组内、同一批的幼鱼中检测到了差异,这表现在某些细菌群的富集,主要是特定于每个水族箱内的特定鱼类的厚壁菌门。代谢预测分析表明,横带九棘鲈 IM 有助于氨基酸、碳水化合物、脂质和免疫系统的代谢。本研究首次对具有广泛经济潜力的横带九棘鲈的养殖条件下的 IM 进行了描述,为未来试验中益生菌的潜在应用提供了新的信息。

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