Çelik Işılay, Keskin Emre
Biotechnology Institute, Ankara University, Ankara 06135, Turkey.
Evolutionary Genetics Laboratory (eGL), Department of Fisheries and Aquaculture, Agricultural Faculty, Ankara University, Ankara 06135, Turkey.
Biology (Basel). 2022 Jun 30;11(7):998. doi: 10.3390/biology11070998.
One of the most significant challenges for detecting microbial life in thermal springs by conventional techniques such as culturing is these places' physicochemical (temperature, heavy metal content, pH, etc.) conditions. Data from several studies suggest that high-throughput DNA sequencing technologies can be used to perform more accurate and detailed microbiome analyses. The primary aim of this paper was to determine the microbiome in the thermal source by metabarcoding environmental DNA isolated from four different sources and reveal the reflection of differences caused by temperature and chemical content on the microbiome. DNA was extracted from water filtered with enclosed filters and using the Illumina high-throughput sequencing platform, V3 and V4 regions of the 16S rRNA gene were sequenced. The results showed a correlation between physicochemical conditions and microorganism composition of four different thermal springs. Springs with extremely high temperature (89-90 °C) were dominated by hyperthermophiles such as and , while a spring with a high temperature (52 °C) was dominated by thermophiles such as and , and a spring with a low temperature (26 °C) and high salinity was dominated by halophiles and sulfur-oxidizers such as and . With this research, we observed many manipulable steps according to the work of interest. This study sought to obtain data that will help decide the right gene region and choose the optimal bioinformatic pipeline.
通过培养等传统技术在温泉中检测微生物生命面临的最重大挑战之一是这些地方的物理化学（温度、重金属含量、pH值等）条件。多项研究的数据表明，高通量DNA测序技术可用于进行更准确、更详细的微生物组分析。本文的主要目的是通过对从四个不同来源分离的环境DNA进行元条形码分析来确定热源中的微生物组，并揭示温度和化学含量差异对微生物组的影响。从用封闭滤器过滤的水中提取DNA，并使用Illumina高通量测序平台对16S rRNA基因的V3和V4区域进行测序。结果表明，四个不同温泉的物理化学条件与微生物组成之间存在相关性。温度极高（89 - 90°C）的温泉中以嗜热菌如 和 为主，而温度较高（52°C）的温泉中以嗜热菌如 和 为主，温度较低（26°C）且盐度较高的温泉中以嗜盐菌和硫氧化剂如 和 为主。通过这项研究，我们根据感兴趣的工作观察到了许多可操作的步骤。本研究旨在获取有助于确定合适的基因区域并选择最佳生物信息学流程的数据。
