{"title":"16S amplicon sequencing and functional gene prediction of microbial community in Inner West Aegean, Turkey","authors":"Belma Nural Yaman","doi":"10.1016/j.compbiolchem.2025.108373","DOIUrl":null,"url":null,"abstract":"<div><div>Thermal springs are aquatic environments with high temperatures that often host thermophilic organisms which is important for an ecological and evolutionary perspective, as they have developed adaptation mechanisms to thrive at different temperatures based on their ideal growth requirements. This study analyzed water samples to identify thermophilic prokaryotic populations via 16S amplicon sequencing. The sequencing reads were processed using QIIME2 2023.2. Prediction of functional profiles were made using q2-picrust2. All the files generated were visualized using ggPICRUST2. Some species of <em>Thermus</em>, <em>Hydrogenobacter s</em>ubterraneus, <em>Acinetobacter</em> species, <em>Geothermobacterium ferrireducens</em>, <em>Bacillus altitudinis</em> complex, <em>Flavobacterium lindanitolerans</em>, and <em>Thermomicrobium roseum</em> were found in KTB. Moreover, the <em>Acinetobacter calcoaceticus/baumannii</em> complex, some species of <em>Thermus</em>, the <em>Burkholderia cepacia</em> complex, <em>Hydrocarboniphaga daqingensis</em>, <em>Hydrogenophaga d</em>efluvii, <em>Chromohalobacter salexigens</em>, the <em>Bacillus subtilis</em> group, and <em>Methylobacterium komagatae</em> were found in the ATB. Component analysis revealed a difference in microbial diversity between the two samples. The predicted pathways included lipid metabolism, bacterial cell motility, glycan metabolism, and DNA replication and repair systems. ggPICRUST2 was utilized for prediction of functional profiles. These findings enhance the current knowledge of the microbiology of Kütahya and Afyonkarahisar thermal springs and enable comparisons with other geothermal systems.</div></div>","PeriodicalId":10616,"journal":{"name":"Computational Biology and Chemistry","volume":"115 ","pages":"Article 108373"},"PeriodicalIF":2.6000,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Biology and Chemistry","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1476927125000337","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Thermal springs are aquatic environments with high temperatures that often host thermophilic organisms which is important for an ecological and evolutionary perspective, as they have developed adaptation mechanisms to thrive at different temperatures based on their ideal growth requirements. This study analyzed water samples to identify thermophilic prokaryotic populations via 16S amplicon sequencing. The sequencing reads were processed using QIIME2 2023.2. Prediction of functional profiles were made using q2-picrust2. All the files generated were visualized using ggPICRUST2. Some species of Thermus, Hydrogenobacter subterraneus, Acinetobacter species, Geothermobacterium ferrireducens, Bacillus altitudinis complex, Flavobacterium lindanitolerans, and Thermomicrobium roseum were found in KTB. Moreover, the Acinetobacter calcoaceticus/baumannii complex, some species of Thermus, the Burkholderia cepacia complex, Hydrocarboniphaga daqingensis, Hydrogenophaga defluvii, Chromohalobacter salexigens, the Bacillus subtilis group, and Methylobacterium komagatae were found in the ATB. Component analysis revealed a difference in microbial diversity between the two samples. The predicted pathways included lipid metabolism, bacterial cell motility, glycan metabolism, and DNA replication and repair systems. ggPICRUST2 was utilized for prediction of functional profiles. These findings enhance the current knowledge of the microbiology of Kütahya and Afyonkarahisar thermal springs and enable comparisons with other geothermal systems.
期刊介绍:
Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.
Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.
Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.