
Volcanic Life Under The Microscope: Scientists Identify Optimal DNA Extraction Method For Microbial Research
June 17, 2025
A research team from Skoltech, the Institute of Physical, Chemical, and Biological Problems of Soil Science of the Russian Academy of Sciences, and other scientific organizations in Russia and the U.S. conducted a study of microbial communities living in extreme conditions in the fumarolic fields of the Elbrus (Russia), Ushkovsky (Russia), and Fuji (Japan) volcanoes. The authors discovered the most efficient technique for separating DNA from microbial samples and demonstrated that the microbial communities of every volcanic region are distinct and influenced by the geochemical conditions of their environment. The findings were published in the Nature Scientific Reports journal.
Volcanoes are one of the most mysterious and captivating places on Earth. Cracks or openings in the Earth's crust on their slopes and at their bases lead to the release of hot gases and steam. These regions are known as fumarolic fields, forming in zones of volcanic activity where magma heats underground water, converting it into vapor. Despite these harsh conditions, life exists even there — archaea and bacteria thrive on fumaroles with interesting adaptational mechanisms that remain largely unexplored.
'Samples collected from fumaroles represent a highly challenging material for DNA extraction. Meanwhile, thermophilic bacteria capable of surviving at extreme temperatures possess intriguing adaptive strategies. Our study provided the first description of microbial communities inhabiting the fumaroles of Elbrus, Ushkovsky, and Mount Fuji. Samples taken from beneath the snow cover on Elbrus exhibited a soil surface temperature of approximately +22.5°C. Summer collections from the Ushkovsky Volcano yielded specimens from a fumarolic area with a surface temperature reaching up to +68.4°C. Fuji samples consisted of frozen sediment deposits. After collection, all samples were preserved at -20°C,' explained lead author Alla Shevchenko, a PhD student in the Life Sciences program at Skoltech.
Researchers used different methods of soil sample pulverization prior to DNA extraction — vertical and horizontal homogenization (mixing). Vertical homogenization proved more effective regarding both DNA yield and detection of archaeal sequences when compared to horizontal homogenization.
'The majority of DNA was extracted via vertical homogenization. Variations in microbial populations correlate with specific features of each volcano. Acidobacteria and Pseudomonas dominate the soils of Elbrus. Ushkovsky fumaroles harbor numerous members of the Crenarchaeota group. Fuji's frozen soil harbors fewer microorganisms overall but retains Actinomyces and additional species of bacteria,' stated Professor Mikhail Gelfand, a study co-author and research supervisor, the vice president for biomedical research at Skoltech.
These findings highlight the significance of selecting an optimal methodology for sample preparation, particularly under extreme conditions. Microorganisms residing within fumaroles serve as sensitive indicators of environmental change. Their adaptability mirrors ecosystem responses to factors like temperature, moisture levels, pH values, and heavy metal concentrations. Changes in the structure and composition of bacterial and fungal colonies could be a sign of global warming, thermal regime shifts, and anthropogenic impacts.
Note:
Skoltech is a private international university in Russia, cultivating a new generation of leaders in technology, science, and business. As a factory of technologies, it conducts research in breakthrough fields and promotes technological innovation to solve critical problems that face Russia and the world. Skoltech focuses on six priority areas: life sciences, health, and agro; telecommunications, photonics, and quantum technologies; artificial intelligence; advanced materials and engineering; energy efficiency and the energy transition; and advanced studies. Established in 2011 in collaboration with the Massachusetts Institute of Technology (MIT), Skoltech was listed among the world's top 100 young universities by the Nature Index in its both editions (2019, 2021). On Research.com, the Institute ranks as Russian university No. 2 overall and No. 1 for genetics and materials science. In the recent SCImago Institutions Rankings, Skoltech placed first nationwide for computer science. Website: https://www.skoltech.ru/.
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Volcanic Life Under The Microscope: Scientists Identify Optimal DNA Extraction Method For Microbial Research
June 17, 2025 A research team from Skoltech, the Institute of Physical, Chemical, and Biological Problems of Soil Science of the Russian Academy of Sciences, and other scientific organizations in Russia and the U.S. conducted a study of microbial communities living in extreme conditions in the fumarolic fields of the Elbrus (Russia), Ushkovsky (Russia), and Fuji (Japan) volcanoes. The authors discovered the most efficient technique for separating DNA from microbial samples and demonstrated that the microbial communities of every volcanic region are distinct and influenced by the geochemical conditions of their environment. The findings were published in the Nature Scientific Reports journal. Volcanoes are one of the most mysterious and captivating places on Earth. Cracks or openings in the Earth's crust on their slopes and at their bases lead to the release of hot gases and steam. These regions are known as fumarolic fields, forming in zones of volcanic activity where magma heats underground water, converting it into vapor. Despite these harsh conditions, life exists even there — archaea and bacteria thrive on fumaroles with interesting adaptational mechanisms that remain largely unexplored. 'Samples collected from fumaroles represent a highly challenging material for DNA extraction. Meanwhile, thermophilic bacteria capable of surviving at extreme temperatures possess intriguing adaptive strategies. Our study provided the first description of microbial communities inhabiting the fumaroles of Elbrus, Ushkovsky, and Mount Fuji. Samples taken from beneath the snow cover on Elbrus exhibited a soil surface temperature of approximately +22.5°C. Summer collections from the Ushkovsky Volcano yielded specimens from a fumarolic area with a surface temperature reaching up to +68.4°C. Fuji samples consisted of frozen sediment deposits. After collection, all samples were preserved at -20°C,' explained lead author Alla Shevchenko, a PhD student in the Life Sciences program at Skoltech. Researchers used different methods of soil sample pulverization prior to DNA extraction — vertical and horizontal homogenization (mixing). Vertical homogenization proved more effective regarding both DNA yield and detection of archaeal sequences when compared to horizontal homogenization. 'The majority of DNA was extracted via vertical homogenization. Variations in microbial populations correlate with specific features of each volcano. Acidobacteria and Pseudomonas dominate the soils of Elbrus. Ushkovsky fumaroles harbor numerous members of the Crenarchaeota group. Fuji's frozen soil harbors fewer microorganisms overall but retains Actinomyces and additional species of bacteria,' stated Professor Mikhail Gelfand, a study co-author and research supervisor, the vice president for biomedical research at Skoltech. These findings highlight the significance of selecting an optimal methodology for sample preparation, particularly under extreme conditions. Microorganisms residing within fumaroles serve as sensitive indicators of environmental change. Their adaptability mirrors ecosystem responses to factors like temperature, moisture levels, pH values, and heavy metal concentrations. Changes in the structure and composition of bacterial and fungal colonies could be a sign of global warming, thermal regime shifts, and anthropogenic impacts. Note: Skoltech is a private international university in Russia, cultivating a new generation of leaders in technology, science, and business. As a factory of technologies, it conducts research in breakthrough fields and promotes technological innovation to solve critical problems that face Russia and the world. Skoltech focuses on six priority areas: life sciences, health, and agro; telecommunications, photonics, and quantum technologies; artificial intelligence; advanced materials and engineering; energy efficiency and the energy transition; and advanced studies. Established in 2011 in collaboration with the Massachusetts Institute of Technology (MIT), Skoltech was listed among the world's top 100 young universities by the Nature Index in its both editions (2019, 2021). On the Institute ranks as Russian university No. 2 overall and No. 1 for genetics and materials science. In the recent SCImago Institutions Rankings, Skoltech placed first nationwide for computer science. Website:


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Skoltech researchers have enlisted generative artificial intelligence to complete the missing data on the distances between pairs of genes in DNA. This enables figuring out the 3D architecture of DNA molecules, which is in turn necessary for developing treatments and diagnostic approaches for genetic diseases. Published in the journal Scientific Reports, the study is the first successful attempt to flesh out such data using AI or, in fact, by any means. Previously, scientists had to make do with incomplete data, hampering progress in medical genetics and limiting the scientists' understanding of the biophysics of chromatin — the stuff of chromosomes. To do its job properly, DNA requires more than the right set of genes: It has to have the correct 3D architecture, which is traditionally the object of statistical physics, and polymer physics in particular. The way the 46 long DNA macromolecules per cell are folded in space affects which genes are active and whether the cell will reproduce appropriately and differentiate into specialized cell types during embryonic development. Conversely, faulty DNA architecture plays a role in the development of abnormalities and diseases, such as cancer. The more scientists learn about the physical principles behind the stabilization of the 'healthy' 3D architecture of DNA, the more opportunities for diagnosing and treating genetic disorders are created. By comparing DNA spatial structure in health and disease, biomarkers for diagnosing disorders and personalized treatments can be found. Scientists can identify new therapeutic targets, develop drugs that restore normal gene function, and design precise gene editing interventions. One of the most widely used experimental techniques for examining how DNA molecules are folded in space is fluorescence microscopy. This refers to a kind of optical microscopy where certain specific gene sequences — a great number of those, in fact — are highlighted by staining them with fluorescent tags. The problem is that such data is inevitably fragmentary. To attach a fluorescent tag, scientists synthesize a short gene sequence that is complementary to the sequence at the position of interest along the DNA strand. However, it's not possible for every sequence. If it contains repeated nucleobases, such as a string of letters A, for example, the sequence cannot be stained selectively, because it is not unique. So researchers have had to make do with incomplete data. Not anymore. 'Once you know the distances between a sufficient number of genes, determining the remaining distances for which there is no experimental data takes the form of a mathematical problem with a specific solution,' the principal investigator of the study, Assistant Professor Kirill Polovnikov from Skoltech Neuro, commented. 'We have shown for the first time that generative models are capable of solving such problems. This is an unconventional application of the kind of AI usually employed for more 'creative' tasks — generating images and text based on a user prompt. At the same time, this is a new approach to the study of chromatin structure, where polymer physics has historically reigned supreme.' The implications of the research are twofold. Practically speaking, the Skoltech team has proposed and tested a way to process fluorescent microscopy data that will ultimately enable a better understanding of DNA spatial structure, which promises better treatments and diagnostics for genetic diseases. Fundamentally, the study demonstrates the potential of generative artificial intelligence beyond the usual scope of its applications. 25-13-00277.