Cargando…

Metagenome sequencing and recovery of 444 metagenome-assembled genomes from the biofloc aquaculture system

Biofloc technology is increasingly recognised as a sustainable aquaculture method. In this technique, bioflocs are generated as microbial aggregates that play pivotal roles in assimilating toxic nitrogenous substances, thereby ensuring high water quality. Despite the crucial roles of the floc-associ...

Descripción completa

Detalles Bibliográficos
Autores principales: Rajeev, Meora, Jung, Ilsuk, Lim, Yeonjung, Kim, Suhyun, Kang, Ilnam, Cho, Jang-Cheon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582022/
https://www.ncbi.nlm.nih.gov/pubmed/37848477
http://dx.doi.org/10.1038/s41597-023-02622-0
_version_ 1785122236857843712
author Rajeev, Meora
Jung, Ilsuk
Lim, Yeonjung
Kim, Suhyun
Kang, Ilnam
Cho, Jang-Cheon
author_facet Rajeev, Meora
Jung, Ilsuk
Lim, Yeonjung
Kim, Suhyun
Kang, Ilnam
Cho, Jang-Cheon
author_sort Rajeev, Meora
collection PubMed
description Biofloc technology is increasingly recognised as a sustainable aquaculture method. In this technique, bioflocs are generated as microbial aggregates that play pivotal roles in assimilating toxic nitrogenous substances, thereby ensuring high water quality. Despite the crucial roles of the floc-associated bacterial (FAB) community in pathogen control and animal health, earlier microbiota studies have primarily relied on the metataxonomic approaches. Here, we employed shotgun sequencing on eight biofloc metagenomes from a commercial aquaculture system. This resulted in the generation of 106.6 Gbp, and the reconstruction of 444 metagenome-assembled genomes (MAGs). Among the recovered MAGs, 230 were high-quality (≥90% completeness, ≤5% contamination), and 214 were medium-quality (≥50% completeness, ≤10% contamination). Phylogenetic analysis unveiled Rhodobacteraceae as dominant members of the FAB community. The reported metagenomes and MAGs are crucial for elucidating the roles of diverse microorganisms and their functional genes in key processes such as nitrification, denitrification, and remineralization. This study will contribute to scientific understanding of phylogenetic diversity and metabolic capabilities of microbial taxa in aquaculture environments.
format Online
Article
Text
id pubmed-10582022
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-105820222023-10-19 Metagenome sequencing and recovery of 444 metagenome-assembled genomes from the biofloc aquaculture system Rajeev, Meora Jung, Ilsuk Lim, Yeonjung Kim, Suhyun Kang, Ilnam Cho, Jang-Cheon Sci Data Data Descriptor Biofloc technology is increasingly recognised as a sustainable aquaculture method. In this technique, bioflocs are generated as microbial aggregates that play pivotal roles in assimilating toxic nitrogenous substances, thereby ensuring high water quality. Despite the crucial roles of the floc-associated bacterial (FAB) community in pathogen control and animal health, earlier microbiota studies have primarily relied on the metataxonomic approaches. Here, we employed shotgun sequencing on eight biofloc metagenomes from a commercial aquaculture system. This resulted in the generation of 106.6 Gbp, and the reconstruction of 444 metagenome-assembled genomes (MAGs). Among the recovered MAGs, 230 were high-quality (≥90% completeness, ≤5% contamination), and 214 were medium-quality (≥50% completeness, ≤10% contamination). Phylogenetic analysis unveiled Rhodobacteraceae as dominant members of the FAB community. The reported metagenomes and MAGs are crucial for elucidating the roles of diverse microorganisms and their functional genes in key processes such as nitrification, denitrification, and remineralization. This study will contribute to scientific understanding of phylogenetic diversity and metabolic capabilities of microbial taxa in aquaculture environments. Nature Publishing Group UK 2023-10-17 /pmc/articles/PMC10582022/ /pubmed/37848477 http://dx.doi.org/10.1038/s41597-023-02622-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Rajeev, Meora
Jung, Ilsuk
Lim, Yeonjung
Kim, Suhyun
Kang, Ilnam
Cho, Jang-Cheon
Metagenome sequencing and recovery of 444 metagenome-assembled genomes from the biofloc aquaculture system
title Metagenome sequencing and recovery of 444 metagenome-assembled genomes from the biofloc aquaculture system
title_full Metagenome sequencing and recovery of 444 metagenome-assembled genomes from the biofloc aquaculture system
title_fullStr Metagenome sequencing and recovery of 444 metagenome-assembled genomes from the biofloc aquaculture system
title_full_unstemmed Metagenome sequencing and recovery of 444 metagenome-assembled genomes from the biofloc aquaculture system
title_short Metagenome sequencing and recovery of 444 metagenome-assembled genomes from the biofloc aquaculture system
title_sort metagenome sequencing and recovery of 444 metagenome-assembled genomes from the biofloc aquaculture system
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582022/
https://www.ncbi.nlm.nih.gov/pubmed/37848477
http://dx.doi.org/10.1038/s41597-023-02622-0
work_keys_str_mv AT rajeevmeora metagenomesequencingandrecoveryof444metagenomeassembledgenomesfromthebioflocaquaculturesystem
AT jungilsuk metagenomesequencingandrecoveryof444metagenomeassembledgenomesfromthebioflocaquaculturesystem
AT limyeonjung metagenomesequencingandrecoveryof444metagenomeassembledgenomesfromthebioflocaquaculturesystem
AT kimsuhyun metagenomesequencingandrecoveryof444metagenomeassembledgenomesfromthebioflocaquaculturesystem
AT kangilnam metagenomesequencingandrecoveryof444metagenomeassembledgenomesfromthebioflocaquaculturesystem
AT chojangcheon metagenomesequencingandrecoveryof444metagenomeassembledgenomesfromthebioflocaquaculturesystem