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Datasets of shotgun metagenomics evaluation of rumen microbiota of South African mutton merino sheep

The rumen microbial consortium plays a crucial role in the production performance and health of the ruminant animal. They are responsible for breaking down complex plant materials such as cellulose and hemicellulose to release usable energy by the host animal. Rumen microbial diversity manipulation...

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Autores principales: Akanmu, Abiodun Mayowa, van Marle-Kӧster, Este, Hassen, Abubeker, Adejoro, Festus Adeyemi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570938/
https://www.ncbi.nlm.nih.gov/pubmed/37840986
http://dx.doi.org/10.1016/j.dib.2023.109629
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author Akanmu, Abiodun Mayowa
van Marle-Kӧster, Este
Hassen, Abubeker
Adejoro, Festus Adeyemi
author_facet Akanmu, Abiodun Mayowa
van Marle-Kӧster, Este
Hassen, Abubeker
Adejoro, Festus Adeyemi
author_sort Akanmu, Abiodun Mayowa
collection PubMed
description The rumen microbial consortium plays a crucial role in the production performance and health of the ruminant animal. They are responsible for breaking down complex plant materials such as cellulose and hemicellulose to release usable energy by the host animal. Rumen microbial diversity manipulation through dietary strategies can be used to achieve several goals such as improved feed efficiency, reduced environmental impact or better utilization of low-quality forages. The dataset, deposited in the National Centre for Biotechnology Information SRA with project number PRJNA775821, comprises sequenced DNA extracted from the rumen content of 16 South African Merino sheep supplemented with different plant extracts. Illumina HiSeq™ 6000 technology was utilised to generate a total of approximately 46.7 Gb in raw nucleotide data. The data consists of 700,318,582 sequences, each with an average length of 184 base pairs. Taxonomic annotation conducted through the MG-RAST server showed the dominant phylum averages are Bacteroidetes (51 %) and Firmicutes (28 %), while Euryarchaeota, Actinobacteria, and Proteobacteria each account for approximately 3 % of the population. This dataset also enables us to identify and profile all expressed genes related to metabolic and chemical processes. The dataset is a valuable tool, offering insights that can lead to enhanced sustainability, profitability and reduced environmental impact within the context of ruminant production process.
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spelling pubmed-105709382023-10-14 Datasets of shotgun metagenomics evaluation of rumen microbiota of South African mutton merino sheep Akanmu, Abiodun Mayowa van Marle-Kӧster, Este Hassen, Abubeker Adejoro, Festus Adeyemi Data Brief Data Article The rumen microbial consortium plays a crucial role in the production performance and health of the ruminant animal. They are responsible for breaking down complex plant materials such as cellulose and hemicellulose to release usable energy by the host animal. Rumen microbial diversity manipulation through dietary strategies can be used to achieve several goals such as improved feed efficiency, reduced environmental impact or better utilization of low-quality forages. The dataset, deposited in the National Centre for Biotechnology Information SRA with project number PRJNA775821, comprises sequenced DNA extracted from the rumen content of 16 South African Merino sheep supplemented with different plant extracts. Illumina HiSeq™ 6000 technology was utilised to generate a total of approximately 46.7 Gb in raw nucleotide data. The data consists of 700,318,582 sequences, each with an average length of 184 base pairs. Taxonomic annotation conducted through the MG-RAST server showed the dominant phylum averages are Bacteroidetes (51 %) and Firmicutes (28 %), while Euryarchaeota, Actinobacteria, and Proteobacteria each account for approximately 3 % of the population. This dataset also enables us to identify and profile all expressed genes related to metabolic and chemical processes. The dataset is a valuable tool, offering insights that can lead to enhanced sustainability, profitability and reduced environmental impact within the context of ruminant production process. Elsevier 2023-10-05 /pmc/articles/PMC10570938/ /pubmed/37840986 http://dx.doi.org/10.1016/j.dib.2023.109629 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Akanmu, Abiodun Mayowa
van Marle-Kӧster, Este
Hassen, Abubeker
Adejoro, Festus Adeyemi
Datasets of shotgun metagenomics evaluation of rumen microbiota of South African mutton merino sheep
title Datasets of shotgun metagenomics evaluation of rumen microbiota of South African mutton merino sheep
title_full Datasets of shotgun metagenomics evaluation of rumen microbiota of South African mutton merino sheep
title_fullStr Datasets of shotgun metagenomics evaluation of rumen microbiota of South African mutton merino sheep
title_full_unstemmed Datasets of shotgun metagenomics evaluation of rumen microbiota of South African mutton merino sheep
title_short Datasets of shotgun metagenomics evaluation of rumen microbiota of South African mutton merino sheep
title_sort datasets of shotgun metagenomics evaluation of rumen microbiota of south african mutton merino sheep
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570938/
https://www.ncbi.nlm.nih.gov/pubmed/37840986
http://dx.doi.org/10.1016/j.dib.2023.109629
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