Extensive data mining uncovers novel diversity among members of the rare biosphere within the Thermoplasmatota
In this study, we emphasize the necessity of targeted, data-integrative approaches to deepen our understanding of the rare biosphere and uncover the functions and metabolic potential hidden within these understudied taxa. Video Abstract.
Authors
- Mara Maeke (ORCID: https://orcid.org/0009-0009-9688-2856)
- Hans‐Joachim Ruscheweyh (ORCID: https://orcid.org/0000-0001-7473-6086)
- Judith Piontek (ORCID: https://orcid.org/0000-0003-3857-8206)
- Tim Richter‐Heitmann (ORCID: https://orcid.org/0000-0002-2791-7252)
- Xiuran Yin (ORCID: https://orcid.org/0000-0001-9234-6276)
- Christiane Hassenrück (ORCID: https://orcid.org/0000-0003-1909-1726)
- Lea C. Wunder (ORCID: https://orcid.org/0000-0001-8018-9867)
- Jenny Fabian (ORCID: https://orcid.org/0000-0001-9914-0967)
- Michael W. Friedrich (ORCID: https://orcid.org/0000-0002-8055-3232)
- Chiara Vanni (ORCID: https://orcid.org/0000-0002-1124-1147)
- Samuel Miravet-Verde
- Shinichi Sunagawa
Institutions
- SIB Swiss Institute of Bioinformatics (CH)
- University of Bremen (DE)
- Leibniz Institute for Baltic Sea Research Warnemünde (DE)
Publication Details
- Journal
- Microbiome
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1186/s40168-025-02140-8
- Primary Topic
- Microbial Community Ecology and Physiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Deutsche Forschungsgemeinschaft
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Bundesministerium für Bildung und Forschung
- Eidgenössische Technische Hochschule Zürich
- Hainan University