马来西亚沙巴州波林温泉细菌群落的 16S rRNA 元基因组学数据

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2024-09-14 DOI:10.1016/j.dib.2024.110935

Bak Zaibah Fazal , Nurshafrina Aida Yahya , Clemente Michael Wong Vui Ling , Yew Chee Wei , Thean Chor Leow , Mardani Abdul Halim , Krishnan Nair Balakrishnan , Cahyo Budiman , Zarina Amin

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引用次数: 0

摘要

众所周知，温泉中蕴藏着潜在的独特微生物，因为这些微生物在极端温度下生长，并在高温下产生具有重要生物技术价值的酶，这些酶对各行各业都有益处。马来西亚沙巴州有多个温泉，但对其微生物多样性的了解仍然有限。本文通过元基因组分析揭示了温泉中细菌群落的原始序列数据。这些数据是通过采集沙巴州拉瑙市波林温泉（Poring Hot Spring，PHS）的水样和沉积物样本获得的，并使用针对 V3-V4 区域的 16S rRNA 扩增子测序分析了其细菌多样性。分析确定了水和沉积物样本中的细菌多样性，其中水样本中有 35 个门、76 个科和 90 个属，沉积物样本中有 38 个门、114 个科和 128 个属。蛋白质细菌在水样中占主导地位（87%），而蓝藻在沉积物样本中含量最高（51%）。水中最多的菌属是 Tepidimonas、Hydrogenophilus 和 Methylothermus，而 Geitlerinema、Calothrix 和 Nitrospira 则在沉积物中占主导地位。α-多样性分析表明，与水样相比，沉积物样本的细菌丰富度和多样性更高。序列和样本数据保存在 NCBI 序列读取档案中，生物项目编号为 PRJNA982554（登录号：SRX20671661 至 SRX20671666），网址为 https://www.ncbi.nlm.nih.gov/Traces/study/?acc=PRJNA982554&o=acc_s%3Aa）。

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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 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. Sequences and sample data are deposited in the NCBI Sequence Read Archive under Bioproject ID PRJNA982554 (Accession number: SRX20671661 to SRX20671666) at https://www.ncbi.nlm.nih.gov/Traces/study/?acc=PRJNA982554&o=acc_s%3Aa).

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

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