Extensive data mining uncovers novel diversity among members of the rare biosphere within the Thermoplasmatota.
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| Format: | Artículo científico |
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Microbiome
2025
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| author | Maeke, Mara D Yin, Xiuran Wunder, Lea C Vanni, Chiara Richter-Heitmann, Tim Miravet-Verde, Samuel Ruscheweyh, Hans-Joachim Sunagawa, Shinichi Fabian, Jenny Piontek, Judith Friedrich, Michael W Hassenrück, Christiane |
| author_facet | Maeke, Mara D Yin, Xiuran Wunder, Lea C Vanni, Chiara Richter-Heitmann, Tim Miravet-Verde, Samuel Ruscheweyh, Hans-Joachim Sunagawa, Shinichi Fabian, Jenny Piontek, Judith Friedrich, Michael W Hassenrück, Christiane Maeke, Mara D Yin, Xiuran Wunder, Lea C Vanni, Chiara Richter-Heitmann, Tim Miravet-Verde, Samuel Ruscheweyh, Hans-Joachim Sunagawa, Shinichi Fabian, Jenny Piontek, Judith Friedrich, Michael W Hassenrück, Christiane |
| collection | PubMed - marine biology |
| contents | Extensive data mining uncovers novel diversity among members of the rare biosphere within the Thermoplasmatota. Maeke, Mara D Yin, Xiuran Wunder, Lea C Vanni, Chiara Richter-Heitmann, Tim Miravet-Verde, Samuel Ruscheweyh, Hans-Joachim Sunagawa, Shinichi Fabian, Jenny Piontek, Judith Friedrich, Michael W Hassenrück, Christiane Phylogeny Geologic Sediments Archaea Metagenomics Data Mining Metagenome Biodiversity RNA, Ribosomal, 16S Ecosystem Sequence Analysis, DNA Rare species, especially of the marine sedimentary biosphere, have long been overlooked owing to the complexity of sediment microbial communities, their sporadic temporal and patchy spatial abundance, and challenges in cultivating environmental microorganisms. In this study, we combined enrichments, targeted metagenomic sequencing, and extensive data mining to uncover uncultivated members of the archaeal rare biosphere in marine sediments. In protein-amended enrichments, we detected the ecologically and metabolically uncharacterized class Candidatus Penumbrarchaeia within the phylum Thermoplasmatota. By screening more than 8000 metagenomic runs and 11,479 published genome assemblies, we expanded the phylogeny of Ca. Penumbrarchaeia by 3 novel orders. All six identified families of this class show low abundance in environmental samples characteristic of rare biosphere members. Members of the class Ca. Penumbrarchaeia were predicted to be involved in organic matter degradation in anoxic, carbon-rich habitats. All Ca. Penumbrarchaeia families contain high numbers of taxon-specific orthologous genes, highlighting their environmental adaptations and habitat specificity. Besides, members of this group exhibit the highest proportion of unknown genes within the entire phylum Thermoplasmatota, suggesting a high degree of functional novelty in this class. 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. |
| format | Artículo científico |
| id | pubmed_40598319 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Microbiome |
| record_format | pubmed |
| spellingShingle | Extensive data mining uncovers novel diversity among members of the rare biosphere within the Thermoplasmatota. Maeke, Mara D Yin, Xiuran Wunder, Lea C Vanni, Chiara Richter-Heitmann, Tim Miravet-Verde, Samuel Ruscheweyh, Hans-Joachim Sunagawa, Shinichi Fabian, Jenny Piontek, Judith Friedrich, Michael W Hassenrück, Christiane Phylogeny Geologic Sediments Archaea Metagenomics Data Mining Metagenome Biodiversity RNA, Ribosomal, 16S Ecosystem Sequence Analysis, DNA Extensive data mining uncovers novel diversity among members of the rare biosphere within the Thermoplasmatota. Maeke, Mara D Yin, Xiuran Wunder, Lea C Vanni, Chiara Richter-Heitmann, Tim Miravet-Verde, Samuel Ruscheweyh, Hans-Joachim Sunagawa, Shinichi Fabian, Jenny Piontek, Judith Friedrich, Michael W Hassenrück, Christiane Phylogeny Geologic Sediments Archaea Metagenomics Data Mining Metagenome Biodiversity RNA, Ribosomal, 16S Ecosystem Sequence Analysis, DNA Rare species, especially of the marine sedimentary biosphere, have long been overlooked owing to the complexity of sediment microbial communities, their sporadic temporal and patchy spatial abundance, and challenges in cultivating environmental microorganisms. In this study, we combined enrichments, targeted metagenomic sequencing, and extensive data mining to uncover uncultivated members of the archaeal rare biosphere in marine sediments. In protein-amended enrichments, we detected the ecologically and metabolically uncharacterized class Candidatus Penumbrarchaeia within the phylum Thermoplasmatota. By screening more than 8000 metagenomic runs and 11,479 published genome assemblies, we expanded the phylogeny of Ca. Penumbrarchaeia by 3 novel orders. All six identified families of this class show low abundance in environmental samples characteristic of rare biosphere members. Members of the class Ca. Penumbrarchaeia were predicted to be involved in organic matter degradation in anoxic, carbon-rich habitats. All Ca. Penumbrarchaeia families contain high numbers of taxon-specific orthologous genes, highlighting their environmental adaptations and habitat specificity. Besides, members of this group exhibit the highest proportion of unknown genes within the entire phylum Thermoplasmatota, suggesting a high degree of functional novelty in this class. 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. |
| title | Extensive data mining uncovers novel diversity among members of the rare biosphere within the Thermoplasmatota. |
| topic | Phylogeny Geologic Sediments Archaea Metagenomics Data Mining Metagenome Biodiversity RNA, Ribosomal, 16S Ecosystem Sequence Analysis, DNA |
| url | https://pubmed.ncbi.nlm.nih.gov/40598319/ |