Reconstructing the last common ancestor of all eukaryotes

PLoS Biol. 2024 Nov 25;22(11):e3002917. doi: 10.1371/journal.pbio.3002917. eCollection 2024 Nov.

Abstract

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.

Publication types

  • Review

MeSH terms

  • Biological Evolution
  • Eukaryota* / genetics
  • Eukaryotic Cells / metabolism
  • Evolution, Molecular
  • Genomics / methods
  • Phylogeny*

Grants and funding

This work was supported by the Royal Society University Research Fellowship grant URF\R\191005 to TAR; Berlin Institute for Advanced Study (Wissenschaftskolleg zu Berlin) Fellowship to TAR; Gordon and Betty Moore Foundation Grant (GBMF9730) to TAR; HORIZON EUROPE European Research Council grant (803151) to LE; Simons Foundation Grant (735923LPI) to LE and AJR; Natural Sciences and Engineering Research Council of Canada Discovery Grant (RGPIN-2019-05058) to JMA; Gordon and Betty Moore Foundation Grant (GBMF5782) to JMA; Arthur B. McDonald Chair of Research Excellence at Dalhousie University to JMA; Natural Sciences and Engineering Research Council of Canada (RGPIN-2022-05430) to AJR; Natural Sciences and Engineering Research Council of Canada (RES0043758 & RES0046091) to JBD; National Science Foundation (2119963 & 2405455) to JGW, and Gordon and Betty Moore Foundation Grant (GBMF10600) to JGW. The funders had no role in the decision to publish, or the preparation of the manuscript.