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, Hampl Vladimír, Kops Geert J P L, Leger Michelle M, Lopez-Garcia Purificacion, McInerney James O, Moreira David, Muñoz-Gómez Sergio A, Richter Daniel J, Ruiz-Trillo Iñaki, Santoro Alyson E, Sebé-Pedrós Arnau, Snel Berend, Stairs Courtney W, Tromer Eelco C, van Hooff Jolien J E, Wickstead Bill, Williams Tom A, Roger Andrew J, Dacks Joel B, Wideman Jeremy G
Department of Biology, University of Oxford, Oxford, United Kingdom.
Ecologie Systématique Evolution, CNRS, Université Paris-Saclay, AgroParisTech, Gif-sur-Yvette, France.
PLoS Biol. 2024 Nov 25;22(11):e3002917. doi: 10.1371/journal.pbio.3002917. eCollection 2024 Nov.
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.
理解真核细胞的起源是整个生物学中最困难的问题之一。与真核生物起源问题相关的一个关键挑战是重建最后一个真核生物共同祖先(LECA)的基因库。随着数据集的不断增长,要勾勒出一幅基于基因组学的早期真核细胞复杂性的准确图景,需要提供分析资源并致力于数据共享。在这里,我们总结了在理解LECA生物学方面取得的进展,并概述了一种推断其更广泛基因库的群体方法。一旦组装完成,一个强大的LECA基因集将成为评估关于真核生物起源的替代假说以及理解所有后代谱系中性状进化的有用工具,这在细胞生物学、微生物生态学、生物技术、农业和医学等不同领域都具有相关性。在本共识观点中,我们提出了重建LECA基因内容的现状和一条达成共识的前进道路。