Dataset of shotgun metagenomic evaluation of Sorghum bicolor rhizosphere microbiome in soils preceded by Glycine maxNCBINCBINCBINCBI
The dataset presents the microbial diversity, community structure, and functional potential of the rhizosphere microbiome associated with Sorghum bicolor in response to crop rotation involving a Glycine max precursor. Soil samples were collected from the rhizospheres of two Sorghum bicolor cultivars...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925000022 |
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| author | Olubukola Oluranti Babalola Ben Jesuorsemwen Enagbonma |
| author_facet | Olubukola Oluranti Babalola Ben Jesuorsemwen Enagbonma |
| author_sort | Olubukola Oluranti Babalola |
| collection | DOAJ |
| description | The dataset presents the microbial diversity, community structure, and functional potential of the rhizosphere microbiome associated with Sorghum bicolor in response to crop rotation involving a Glycine max precursor. Soil samples were collected from the rhizospheres of two Sorghum bicolor cultivars, Avenger and NS55, cultivated in soils previously used for Glycine max and cultivated in soils that have not previously been used for Glycine max cultivation, as follows: i) Sorghum bicolor Avenger (SA1, SA2, and SA3) cultivated in soils previously used for Glycine max, ii) Sorghum bicolor NS55 (SN1, SN2, and SN3) grown in soils that had been cultivated with Glycine max, iii) Sorghum bicolor Avenger (RA1, RA2, and RA3) cultivated in soils not previously used for Glycine max, iv) Sorghum bicolor NS55 (RN1, RN2, and RN3) grown in soils not previously cultivated with Glycine max. Thereafter, the shotgun sequencing was done to assess the microbial composition and functional genes from the extracted DNA. The effective metagenome after QC of the twelve samples include SA1 (99.72%), SA2 (99.50%), SA3 (99.68%), SN1 (99.75%), SN2 (99.76%), SN3 (99.70%), RA1 (99.72%), RA2 (99.77%), RN3 (99.72%), RN1 (99.67%), RN2 (99.68%), and RN3 (99.54%). Information from the metagenome sequences is accessible under the bioproject numbers PRJNA1166458 (SA1, SA2, and SA3), PRJNA1166463 (SN1, SN2, and SN3), PRJNA1166623 (RA1, RA2, and RA3), PRJNA1166627 (RN1, RN2 and RN3). Actinomycetota and Function unknown dominated the microbiomes across all cropping systems. The insights gained from this dataset hold promise for advancing sustainable agricultural practices, particularly through optimizing crop rotations, developing microbial bioinoculants, and enhancing soil health. Furthermore, the functional data and the function unknown from this dataset could enrich our understanding of microbial roles in nutrient cycling, plant growth promotion, and stress mitigation, which are critical for addressing challenges in food security and environmental sustainability. |
| format | Article |
| id | doaj-art-7371be6810984cf0a3567c84cf0e4beb |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-7371be6810984cf0a3567c84cf0e4beb2025-01-31T05:11:45ZengElsevierData in Brief2352-34092025-02-0158111270Dataset of shotgun metagenomic evaluation of Sorghum bicolor rhizosphere microbiome in soils preceded by Glycine maxNCBINCBINCBINCBIOlubukola Oluranti Babalola0Ben Jesuorsemwen Enagbonma1Corresponding author.; Food Security and Safety Focus Area, Faculty of Natural and Agricultural Sciences, North-West University, Private Mail Bag X2046, Mmabatho 2735, South AfricaFood Security and Safety Focus Area, Faculty of Natural and Agricultural Sciences, North-West University, Private Mail Bag X2046, Mmabatho 2735, South AfricaThe dataset presents the microbial diversity, community structure, and functional potential of the rhizosphere microbiome associated with Sorghum bicolor in response to crop rotation involving a Glycine max precursor. Soil samples were collected from the rhizospheres of two Sorghum bicolor cultivars, Avenger and NS55, cultivated in soils previously used for Glycine max and cultivated in soils that have not previously been used for Glycine max cultivation, as follows: i) Sorghum bicolor Avenger (SA1, SA2, and SA3) cultivated in soils previously used for Glycine max, ii) Sorghum bicolor NS55 (SN1, SN2, and SN3) grown in soils that had been cultivated with Glycine max, iii) Sorghum bicolor Avenger (RA1, RA2, and RA3) cultivated in soils not previously used for Glycine max, iv) Sorghum bicolor NS55 (RN1, RN2, and RN3) grown in soils not previously cultivated with Glycine max. Thereafter, the shotgun sequencing was done to assess the microbial composition and functional genes from the extracted DNA. The effective metagenome after QC of the twelve samples include SA1 (99.72%), SA2 (99.50%), SA3 (99.68%), SN1 (99.75%), SN2 (99.76%), SN3 (99.70%), RA1 (99.72%), RA2 (99.77%), RN3 (99.72%), RN1 (99.67%), RN2 (99.68%), and RN3 (99.54%). Information from the metagenome sequences is accessible under the bioproject numbers PRJNA1166458 (SA1, SA2, and SA3), PRJNA1166463 (SN1, SN2, and SN3), PRJNA1166623 (RA1, RA2, and RA3), PRJNA1166627 (RN1, RN2 and RN3). Actinomycetota and Function unknown dominated the microbiomes across all cropping systems. The insights gained from this dataset hold promise for advancing sustainable agricultural practices, particularly through optimizing crop rotations, developing microbial bioinoculants, and enhancing soil health. Furthermore, the functional data and the function unknown from this dataset could enrich our understanding of microbial roles in nutrient cycling, plant growth promotion, and stress mitigation, which are critical for addressing challenges in food security and environmental sustainability.http://www.sciencedirect.com/science/article/pii/S2352340925000022Crop rotationEcological protectionLeguminous fertilizationNext-generation sequenceSustainable agriculture |
| spellingShingle | Olubukola Oluranti Babalola Ben Jesuorsemwen Enagbonma Dataset of shotgun metagenomic evaluation of Sorghum bicolor rhizosphere microbiome in soils preceded by Glycine maxNCBINCBINCBINCBI Data in Brief Crop rotation Ecological protection Leguminous fertilization Next-generation sequence Sustainable agriculture |
| title | Dataset of shotgun metagenomic evaluation of Sorghum bicolor rhizosphere microbiome in soils preceded by Glycine maxNCBINCBINCBINCBI |
| title_full | Dataset of shotgun metagenomic evaluation of Sorghum bicolor rhizosphere microbiome in soils preceded by Glycine maxNCBINCBINCBINCBI |
| title_fullStr | Dataset of shotgun metagenomic evaluation of Sorghum bicolor rhizosphere microbiome in soils preceded by Glycine maxNCBINCBINCBINCBI |
| title_full_unstemmed | Dataset of shotgun metagenomic evaluation of Sorghum bicolor rhizosphere microbiome in soils preceded by Glycine maxNCBINCBINCBINCBI |
| title_short | Dataset of shotgun metagenomic evaluation of Sorghum bicolor rhizosphere microbiome in soils preceded by Glycine maxNCBINCBINCBINCBI |
| title_sort | dataset of shotgun metagenomic evaluation of sorghum bicolor rhizosphere microbiome in soils preceded by glycine maxncbincbincbincbi |
| topic | Crop rotation Ecological protection Leguminous fertilization Next-generation sequence Sustainable agriculture |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925000022 |
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