16S rRNA metagenomics data on the bacterial communities in Poring Hot Spring, Sabah, Malaysia
Hot springs are known to harbor potentially unique microorganisms due to the extreme temperatures in which they thrive and their biotechnologically important enzymes that are active at high temperature, which are beneficial for various industries. Sabah, Malaysia, houses several hot springs, yet kno...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier BV
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/117545/ http://psasir.upm.edu.my/id/eprint/117545/1/117545.pdf |
| _version_ | 1848867277607272448 |
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| author | Fazal, Bak Zaibah Yahya, Nurshafrina Aida Ling, Clemente Michael Wong Vui Wei, Yew Chee Leow, Thean Chor Halim, Mardani Abdul Balakrishnan, Krishnan Nair Budiman, Cahyo Amin, Zarina |
| author_facet | Fazal, Bak Zaibah Yahya, Nurshafrina Aida Ling, Clemente Michael Wong Vui Wei, Yew Chee Leow, Thean Chor Halim, Mardani Abdul Balakrishnan, Krishnan Nair Budiman, Cahyo Amin, Zarina |
| author_sort | Fazal, Bak Zaibah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Hot springs are known to harbor potentially unique microorganisms due to the extreme temperatures in which they thrive and their biotechnologically important enzymes that are active at high temperature, which are beneficial for various industries. Sabah, Malaysia, houses several hot springs, yet knowledge of their microbiological diversity remains limited. Here, the raw sequence data of bacterial communities in a hot spring through metagenomic analysis are revealed. The data were obtained by collecting water and sediment samples from Poring Hot Spring (PHS) in Ranau, Sabah, and their bacterial diversity was analyzed using 16S rRNA amplicon sequencing targeting the V3-V4 regions. The analysis identified bacterial diversity in both water and sediment samples, with 35 phyla, 76 families, and 90 genera in water, and 38 phyla, 114 families, and 128 genera in sediment. Proteobacteria dominated the water samples (87 %), while Cyanobacteria were most abundant in sediment samples (51 %). The most abundant genera in water were Tepidimonas, Hydrogenophilus and Methylothermus, whereas Geitlerinema, Calothrix and Nitrospira dominated the sediment. Sediment samples exhibited higher bacterial richness and diversity compared to water samples, as indicated by α-diversity analysis. |
| first_indexed | 2025-11-15T14:33:57Z |
| format | Article |
| id | upm-117545 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:33:57Z |
| publishDate | 2024 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1175452025-05-29T03:47:26Z http://psasir.upm.edu.my/id/eprint/117545/ 16S rRNA metagenomics data on the bacterial communities in Poring Hot Spring, Sabah, Malaysia Fazal, Bak Zaibah Yahya, Nurshafrina Aida Ling, Clemente Michael Wong Vui Wei, Yew Chee Leow, Thean Chor Halim, Mardani Abdul Balakrishnan, Krishnan Nair Budiman, Cahyo Amin, Zarina Hot springs are known to harbor potentially unique microorganisms due to the extreme temperatures in which they thrive and their biotechnologically important enzymes that are active at high temperature, which are beneficial for various industries. Sabah, Malaysia, houses several hot springs, yet knowledge of their microbiological diversity remains limited. Here, the raw sequence data of bacterial communities in a hot spring through metagenomic analysis are revealed. The data were obtained by collecting water and sediment samples from Poring Hot Spring (PHS) in Ranau, Sabah, and their bacterial diversity was analyzed using 16S rRNA amplicon sequencing targeting the V3-V4 regions. The analysis identified bacterial diversity in both water and sediment samples, with 35 phyla, 76 families, and 90 genera in water, and 38 phyla, 114 families, and 128 genera in sediment. Proteobacteria dominated the water samples (87 %), while Cyanobacteria were most abundant in sediment samples (51 %). The most abundant genera in water were Tepidimonas, Hydrogenophilus and Methylothermus, whereas Geitlerinema, Calothrix and Nitrospira dominated the sediment. Sediment samples exhibited higher bacterial richness and diversity compared to water samples, as indicated by α-diversity analysis. Elsevier BV 2024 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/117545/1/117545.pdf Fazal, Bak Zaibah and Yahya, Nurshafrina Aida and Ling, Clemente Michael Wong Vui and Wei, Yew Chee and Leow, Thean Chor and Halim, Mardani Abdul and Balakrishnan, Krishnan Nair and Budiman, Cahyo and Amin, Zarina (2024) 16S rRNA metagenomics data on the bacterial communities in Poring Hot Spring, Sabah, Malaysia. Data in Brief, 57. art. no. 110935. pp. 1-9. ISSN 2352-3409 https://linkinghub.elsevier.com/retrieve/pii/S2352340924008989 10.1016/j.dib.2024.110935 |
| spellingShingle | Fazal, Bak Zaibah Yahya, Nurshafrina Aida Ling, Clemente Michael Wong Vui Wei, Yew Chee Leow, Thean Chor Halim, Mardani Abdul Balakrishnan, Krishnan Nair Budiman, Cahyo Amin, Zarina 16S rRNA metagenomics data on the bacterial communities in Poring Hot Spring, Sabah, Malaysia |
| title | 16S rRNA metagenomics data on the bacterial communities in Poring Hot Spring, Sabah, Malaysia |
| title_full | 16S rRNA metagenomics data on the bacterial communities in Poring Hot Spring, Sabah, Malaysia |
| title_fullStr | 16S rRNA metagenomics data on the bacterial communities in Poring Hot Spring, Sabah, Malaysia |
| title_full_unstemmed | 16S rRNA metagenomics data on the bacterial communities in Poring Hot Spring, Sabah, Malaysia |
| title_short | 16S rRNA metagenomics data on the bacterial communities in Poring Hot Spring, Sabah, Malaysia |
| title_sort | 16s rrna metagenomics data on the bacterial communities in poring hot spring, sabah, malaysia |
| url | http://psasir.upm.edu.my/id/eprint/117545/ http://psasir.upm.edu.my/id/eprint/117545/ http://psasir.upm.edu.my/id/eprint/117545/ http://psasir.upm.edu.my/id/eprint/117545/1/117545.pdf |