Reconstructing the last common ancestor of all eukaryotes
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-info...
| Authors: | , , , , , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2024 |
| Country: | España |
| Institution: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repository: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10230/69519 |
| Online Access: | http://hdl.handle.net/10230/69519 http://dx.doi.org/10.1371/journal.pbio.3002917 |
| Access Level: | Open access |
| Keyword: | Eukaryota Eukaryotic evolution Phylogenetics Evolutionary genetics Phylogenetic analysis Hidden Markov models Genomics Microbial evolution |
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Reconstructing the last common ancestor of all eukaryotesRichards, Thomas A.Leger, Michelle M.Richter, Daniel J.Ruiz Trillo, IñakiSebé-Pedrós, ArnauWideman, Jeremy G.EukaryotaEukaryotic evolutionPhylogeneticsEvolutionary geneticsPhylogenetic analysisHidden Markov modelsGenomicsMicrobial evolutionUnderstanding 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.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.Public Library of Science (PLoS)202520252024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/69519http://dx.doi.org/10.1371/journal.pbio.3002917reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésPLoS Biol. 2024 Nov 25;22(11):e3002917info:eu-repo/grantAgreement/EC/H2020/803151© 2024 Richards et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/695192026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
Reconstructing the last common ancestor of all eukaryotes |
| title |
Reconstructing the last common ancestor of all eukaryotes |
| spellingShingle |
Reconstructing the last common ancestor of all eukaryotes Richards, Thomas A. Eukaryota Eukaryotic evolution Phylogenetics Evolutionary genetics Phylogenetic analysis Hidden Markov models Genomics Microbial evolution |
| title_short |
Reconstructing the last common ancestor of all eukaryotes |
| title_full |
Reconstructing the last common ancestor of all eukaryotes |
| title_fullStr |
Reconstructing the last common ancestor of all eukaryotes |
| title_full_unstemmed |
Reconstructing the last common ancestor of all eukaryotes |
| title_sort |
Reconstructing the last common ancestor of all eukaryotes |
| dc.creator.none.fl_str_mv |
Richards, Thomas A. Leger, Michelle M. Richter, Daniel J. Ruiz Trillo, Iñaki Sebé-Pedrós, Arnau Wideman, Jeremy G. |
| author |
Richards, Thomas A. |
| author_facet |
Richards, Thomas A. Leger, Michelle M. Richter, Daniel J. Ruiz Trillo, Iñaki Sebé-Pedrós, Arnau Wideman, Jeremy G. |
| author_role |
author |
| author2 |
Leger, Michelle M. Richter, Daniel J. Ruiz Trillo, Iñaki Sebé-Pedrós, Arnau Wideman, Jeremy G. |
| author2_role |
author author author author author |
| dc.subject.none.fl_str_mv |
Eukaryota Eukaryotic evolution Phylogenetics Evolutionary genetics Phylogenetic analysis Hidden Markov models Genomics Microbial evolution |
| topic |
Eukaryota Eukaryotic evolution Phylogenetics Evolutionary genetics Phylogenetic analysis Hidden Markov models Genomics Microbial evolution |
| description |
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. |
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2024 |
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2024 2025 2025 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10230/69519 http://dx.doi.org/10.1371/journal.pbio.3002917 |
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http://hdl.handle.net/10230/69519 http://dx.doi.org/10.1371/journal.pbio.3002917 |
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Inglés |
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Inglés |
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PLoS Biol. 2024 Nov 25;22(11):e3002917 info:eu-repo/grantAgreement/EC/H2020/803151 |
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http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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Public Library of Science (PLoS) |
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Public Library of Science (PLoS) |
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