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

dc.contributor.authorAkanmu, Abiodun Mayowa
dc.contributor.authorVan Marle-Koster, Este
dc.contributor.authorHassen, Abubeker
dc.contributor.authorAdejoro, Festus Adeyemi
dc.contributor.emailabiodun.akanmu@up.ac.zaen_US
dc.date.accessioned2024-05-14T12:26:28Z
dc.date.available2024-05-14T12:26:28Z
dc.date.issued2023-12
dc.descriptionDATA AVAILABILITY : Methane mitigation using medicinal plant extracts (Original data) (NCBI Bioproject)en_US
dc.description.abstractThe 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 TM 60 0 0 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 an- notation 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 pro- duction process.en_US
dc.description.departmentAnimal and Wildlife Sciencesen_US
dc.description.librarianam2024en_US
dc.description.sdgSDG-02:Zero Hungeren_US
dc.description.sdgSDG-03:Good heatlh and well-beingen_US
dc.description.urihttp://www.elsevier.com/locate/diben_US
dc.identifier.citationAkanmu, A.M., Van Marle-Koster, E., Hassen, A. et al. 2023, 'Datasets of shotgun metagenomics evaluation of rumen microbiota of South African mutton merino sheep', Data in Brief, vol. 51, art. 109629, pp. 1-5. https://DOI.org/10.1016/j.dib.2023.109629.en_US
dc.identifier.issn2352-3409
dc.identifier.other10.1016/j.dib.2023.109629
dc.identifier.urihttp://hdl.handle.net/2263/95967
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2023 The Author(s). This is an open access article under the CCBY-NC-ND license.en_US
dc.subjectShotgun approachen_US
dc.subjectRumen microbesen_US
dc.subjectPlant extractsen_US
dc.subjectFunctional genesen_US
dc.subjectIlluminaen_US
dc.subjectRumen metagenomeen_US
dc.subjectMG-RASTen_US
dc.subjectSDG-02: Zero hungeren_US
dc.subjectSDG-03: Good health and well-beingen_US
dc.titleDatasets of shotgun metagenomics evaluation of rumen microbiota of South African mutton merino sheepen_US
dc.typeArticleen_US

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