Author
Listed:
- Álvaro Rodríguez del Río
(Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) – Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC))
- Joaquín Giner-Lamia
(Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) – Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC)
Universidad Politécnica de Madrid (UPM)
Universidad de Sevilla-CSIC)
- Carlos P. Cantalapiedra
(Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) – Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC))
- Jorge Botas
(Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) – Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC))
- Ziqi Deng
(Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) – Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC))
- Ana Hernández-Plaza
(Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) – Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC))
- Martí Munar-Palmer
(Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) – Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC))
- Saray Santamaría-Hernando
(Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) – Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC))
- José J. Rodríguez-Herva
(Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) – Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC)
Universidad Politécnica de Madrid (UPM))
- Hans-Joachim Ruscheweyh
(Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich)
- Lucas Paoli
(Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich)
- Thomas S. B. Schmidt
(Structural and Computational Biology Unit, European Molecular Biology Laboratory)
- Shinichi Sunagawa
(Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich)
- Peer Bork
(Structural and Computational Biology Unit, European Molecular Biology Laboratory
Max Delbrück Centre for Molecular Medicine
University of Würzburg)
- Emilia López-Solanilla
(Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) – Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC)
Universidad Politécnica de Madrid (UPM))
- Luis Pedro Coelho
(Fudan University
MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, and MOE Frontiers Center for Brain Science
Queensland University of Technology, Translational Research Institute)
- Jaime Huerta-Cepas
(Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) – Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC))
Abstract
Many of the Earth’s microbes remain uncultured and understudied, limiting our understanding of the functional and evolutionary aspects of their genetic material, which remain largely overlooked in most metagenomic studies1. Here we analysed 149,842 environmental genomes from multiple habitats2–6 and compiled a curated catalogue of 404,085 functionally and evolutionarily significant novel (FESNov) gene families exclusive to uncultivated prokaryotic taxa. All FESNov families span multiple species, exhibit strong signals of purifying selection and qualify as new orthologous groups, thus nearly tripling the number of bacterial and archaeal gene families described to date. The FESNov catalogue is enriched in clade-specific traits, including 1,034 novel families that can distinguish entire uncultivated phyla, classes and orders, probably representing synapomorphies that facilitated their evolutionary divergence. Using genomic context analysis and structural alignments we predicted functional associations for 32.4% of FESNov families, including 4,349 high-confidence associations with important biological processes. These predictions provide a valuable hypothesis-driven framework that we used for experimental validatation of a new gene family involved in cell motility and a novel set of antimicrobial peptides. We also demonstrate that the relative abundance profiles of novel families can discriminate between environments and clinical conditions, leading to the discovery of potentially new biomarkers associated with colorectal cancer. We expect this work to enhance future metagenomics studies and expand our knowledge of the genetic repertory of uncultivated organisms.
Suggested Citation
Álvaro Rodríguez del Río & Joaquín Giner-Lamia & Carlos P. Cantalapiedra & Jorge Botas & Ziqi Deng & Ana Hernández-Plaza & Martí Munar-Palmer & Saray Santamaría-Hernando & José J. Rodríguez-Herva & Ha, 2024.
"Functional and evolutionary significance of unknown genes from uncultivated taxa,"
Nature, Nature, vol. 626(7998), pages 377-384, February.
Handle:
RePEc:nat:nature:v:626:y:2024:i:7998:d:10.1038_s41586-023-06955-z
DOI: 10.1038/s41586-023-06955-z
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:626:y:2024:i:7998:d:10.1038_s41586-023-06955-z. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.