-
Autor
Archibald, John M 1 Coelho, Susana M 1 Dacks, Joel B 1 Dessimoz, Christophe 1 Dolezal, Pavel 1 Eme, Laura 1 Fritz-Laylin, Lillian K 1 Gabaldón, Toni 1 Hampl, Vladimír 1 Kops, Geert J P L 1 Leger, Michelle M 1 Leonard, Guy 1 Lopez-Garcia, Purificacion 1 McInerney, James O 1 Moreira, David 1 Muñoz-Gómez, Sergio A 1 Richards, Thomas A 1 Richter, Daniel J 1 Roger, Andrew J 1 Ruiz-Trillo, Iñaki 1
-
Pracoviště
Barcelona Supercomputing Centre Barcelona Spain 1 CIBER de Enfermedades Infecciosas Instituto ... 1 Catalan Institution for Research and Advance... 1 Cell Biochemistry Groningen Biomolecular Sci... 1 Center for Mechanisms of Evolution School of... 1 Centre for Genomic Regulation Barcelona Spain 1 Centre for Life's Origins and Evolution Depa... 1 Charles University Faculty of Science Depart... 1 Department of Algal Development and Evolutio... 1 Department of Biochemistry and Molecular Bio... 1 Department of Biological Sciences Purdue Uni... 1 Department of Biology Lund University Lund S... 1 Department of Biology University of Massachu... 1 Department of Biology University of Oxford O... 1 Department of Cell and Molecular Biology The... 1 Department of Computational Biology Universi... 1 Department of Ecology Evolution and Marine B... 1 Department of Evolution Ecology and Behaviou... 1 Division of Infectious Diseases Department o... 1 Ecologie Systématique Evolution CNRS Univers... 1
- Publikační typ
- Kategorie
- Jazyk
- Země
- Časopis/zdroj
- Grant - země
- Grantová podpora
- Nejvíce citované
Nejvíce citovaný článek - PubMed ID 11018153
- Richards, Thomas A
- Eme, Laura
- Archibald, John M
- Leonard, Guy
- Coelho, Susana M
- de Mendoza, Alex
- Dessimoz, Christophe
- Dolezal, Pavel
- Fritz-Laylin, Lillian K
-
Gabaldón, Toni
Autor Gabaldón, Toni Barcelona Supercomputing Centre (BSC-CNS), Barcelona, Spain Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
PubMed
39585925
PubMed Central
PMC11627563
DOI
10.1371/journal.pbio.3002917
PII: PBIOLOGY-D-24-02245
Knihovny.cz E-zdroje
Understanding the origin of eukaryotic cells is one of the most difficult problems in all of biology. A key challenge relevant to the question of eukaryogenesis is reconstructing the gene repertoire of the last eukaryotic common ancestor (LECA). As data sets grow, sketching an accurate genomics-informed picture of early eukaryotic cellular complexity requires provision of analytical resources and a commitment to data sharing. Here, we summarise progress towards understanding the biology of LECA and outline a community approach to inferring its wider gene repertoire. Once assembled, a robust LECA gene set will be a useful tool for evaluating alternative hypotheses about the origin of eukaryotes and understanding the evolution of traits in all descendant lineages, with relevance in diverse fields such as cell biology, microbial ecology, biotechnology, agriculture, and medicine. In this Consensus View, we put forth the status quo and an agreed path forward to reconstruct LECA's gene content.
Sdílet
Název dokumentu
Po ukončení testovacího provozu bude odkaz přesměrován adresu produkční verze portálu Medvik.