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New publication: Data mining reveals biodiversity in the deep biosphere

Jul 17, 2025
World map of all screened metagenomic samples derived through short-read data mining with locations (green triangle) at which  novel Ca. Penumbrarchaeia MAGs were detected. Figure from Maeke et al. 2025 (CC BY 4.0)
World map of all screened metagenomic samples derived through short-read data mining with locations (green triangle) at which novel Ca. Penumbrarchaeia MAGs were detected. Figure from Maeke et al. 2025 (CC BY 4.0)

Oceans are home to millions of microbes – some of which are already known for their functions in ocean and ocean floor ecosystems. Others are so rare that virtually nothing is known about them. This is where there is particular potential.

In a new approach, researchers from Bremen, Warnemünde, Hainan (China), and Zurich (Switzerland) have now detected previously unknown microbes within the Thermoplasmatota phylum for the first time. They belong to the new class Candidatus Penumbrarchaeia.

 

The samples originate from North Sea sediment. In addition to cultivating the microorganisms and sequencing them in the laboratory, the team screened extensively global genome databases: over 8,000 ocean samples and over 11,000 published genomes were searched for microorganisms of the new class Candidatus Penumbrarchaeia.

Their analysis showed that the unknown and rare microorganisms can have functions such as metabolism in oxygen-poor and carbon-rich environments. Notably, these rare microorganisms have a large number of entirely unknown genes. According to the team, the study demonstrates the need for targeted, data-integrative approaches to deepen our understanding of the rare biosphere. Only in this way can the functions and metabolic potential hidden in these little-studied taxa be uncovered.

The study is integrated into the research of the current Cluster of Excellence “The Ocean Floor - Earth's Uncharted Interface”, which is based at MARUM. In particular, the aim here is to better understand ocean floor ecosystems under changing environmental conditions and material cycles.

Original publication:

Maeke, M.D., Yin, X., Wunder, L.C. et al. Extensive data mining uncovers novel diversity among members of the rare biosphere within the Thermoplasmatota. Microbiome 13, 155 (2025). DOI: 10.1186/s40168-025-02140-8

Contact:

Prof. Dr. Michael Friedrich
Microbial Ecophysiology
MARUM – Center for Marine Environmental Sciences and
Faculty Biology/ Chemistry at the University of Bremen
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