Literature DB >> 26189342

A comparative study on microbiota from the intestine of Prussian carp (Carassius gibelio) and their aquatic environmental compartments, using different molecular methods.

E N Kashinskaya1, N L Belkova2,3, G I Izvekova4, E P Simonov1,5, K B Andree6, V V Glupov1, O A Baturina7, M R Kabilov7, M M Solovyev1.   

Abstract

AIMS: The aim of this study was to evaluate, via various molecular methods, the possible correlations between microbial community structure of Prussian carp and the environmental compartments of their habitat. METHODS AND
RESULTS: Microbial communities in the intestine and environmental compartments were studied using PCR-screening, cloning and next-generation high-throughput sequencing of the 16S ribosomal RNA genes. The 16S rDNA metagenomic sequencing showed higher bacterial diversity in comparison with clone libraries, while group-specific PCR showed positive detection of nine bacteria phyla. Proteobacteria, Bacteroidetes, Firmicutes, Cyanobacteria and Actinobacteria were most abundant both in the intestine and habitat environments. The comparative analyses reveal that the bacterial community in the Prussian carp intestine is most similar to that identified from the chironomid.
CONCLUSIONS: This study demonstrated some differences between molecular methods and showed advantages and limitations associated with them. These differences have the potential to reduce bias in results obtained from analysis of the community structure. The advantages of each molecular technique can be used for a better understanding of microbial diversity. The microbiota of Prussian carp intestine is most similar to those from the chironomids. SIGNIFICANCE AND IMPACT OF THE STUDY: We investigated the diversity of the intestinal microbiota in an economically important aquaculture species, the Prussian carp (Carassius gibelio). The results provide significant information to discuss possible functions of these bacteria for further understanding of Prussian carp health.
© 2015 The Society for Applied Microbiology.

Entities:  

Keywords:  16S rDNA clone libraries; fish microbiota; genetic diversity; group-specific PCR; metagenomic sequencing

Mesh:

Substances:

Year:  2015        PMID: 26189342     DOI: 10.1111/jam.12904

Source DB:  PubMed          Journal:  J Appl Microbiol        ISSN: 1364-5072            Impact factor:   3.772


  7 in total

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2.  Cupriavidus in the intestinal microbiota of Tibet endemic fish Glyptosternum maculatum can help it adapt to habitat of the Qinghai Tibet Plateau.

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3.  Succession of the intestinal bacterial community in Pacific bluefin tuna (Thunnus orientalis) larvae.

Authors:  Akito Taniguchi; Ryuichiro Aoki; Isamu Inoue; Mitsuru Eguchi
Journal:  PLoS One       Date:  2022-10-06       Impact factor: 3.752

4.  Cecal microbiota of Tibetan Chickens from five geographic regions were determined by 16S rRNA sequencing.

Authors:  Xueyan Zhou; Xiaosong Jiang; Chaowu Yang; Bingcun Ma; Changwei Lei; Changwen Xu; Anyun Zhang; Xin Yang; Qi Xiong; Peng Zhang; Shuai Men; Rong Xiang; Hongning Wang
Journal:  Microbiologyopen       Date:  2016-05-02       Impact factor: 3.139

5.  Gut microbiome of endangered Tor putitora (Ham.) as a reservoir of antibiotic resistance genes and pathogens associated with fish health.

Authors:  Himani Khurana; Durgesh Narain Singh; Anoop Singh; Yogendra Singh; Rup Lal; Ram Krishan Negi
Journal:  BMC Microbiol       Date:  2020-08-12       Impact factor: 3.605

6.  Comparative study of gut microbiota in wild and captive Malaysian Mahseer (Tor tambroides).

Authors:  Chun K Tan; Ikhsan Natrah; Iswan B Suyub; Marilyn J Edward; Nazrien Kaman; Anjas A Samsudin
Journal:  Microbiologyopen       Date:  2018-10-23       Impact factor: 3.139

7.  The gut microbiota of Cystidicola farionis parasitizing the swim bladder of the nosed charr morph Salvelinus malma complex in Lake Kronotskoe (Kamchatka, Russia).

Authors:  E N Kashinskaya; E P Simonov; P G Vlasenko; G N Markevich; A V Shokurova; K B Andree; M M Solovyev
Journal:  J Nematol       Date:  2021-12-15       Impact factor: 1.402

  7 in total

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