Is an archaeon the ancestor of eukaryotes?

Navigating the archaeal frontier: insights and projections from bioinformatic pipelines

Archaea continues to be one of the least investigated domains of life, and in recent years, the advent of metagenomics has led to the discovery of many new lineages at the phylum level. For the majority, only automatic genomic annotations can provide information regarding their metabolic potential and role in the environment. Here, genomic data from 2,978 archaeal genomes was used to perform automatic annotations using bioinformatics tools, alongside synteny analysis. These automatic classifications were done to assess how good these different tools perform in relation to archaeal data. Our study revealed that even with lowered cutoffs, several functional models do not capture the recently discovered archaeal diversity. Moreover, our investigation revealed that a significant portion of archaeal genomes, approximately 42%, remain uncharacterized. In comparison, within 3,235 bacterial genomes, a diverse range of unclassified proteins is obtained, with well-studied organisms like Escherichia coli having a substantially lower proportion of uncharacterized regions, ranging from <5 to 25%, and less studied lineages being comparable to archaea with the range of 35-40% of unclassified regions. Leveraging this analysis, we were able to identify metabolic protein markers, thereby providing insights into the metabolism of the archaea in our dataset. Our findings underscore a substantial gap between automatic classification tools and the comprehensive mapping of archaeal metabolism. Despite advances in computational approaches, a significant portion of archaeal genomes remains unexplored, highlighting the need for extensive experimental validation in this domain, as well as more refined annotation methods. This study contributes to a better understanding of archaeal metabolism and underscores the importance of further research in elucidating the functional potential of archaeal genomes.

Evolution of optimal growth temperature in Asgard archaea inferred from the temperature dependence of GDP binding to EF-1A

The archaeal ancestor of eukaryotes apparently belonged to the phylum Asgardarchaeota, but the ecology and evolution of Asgard archaea are poorly understood. The optimal GDP-binding temperature of a translation elongation factor (EF-1A or EF-Tu) has been previously shown to correlate with the optimal growth temperature of diverse prokaryotes. Here, we reconstruct ancestral EF-1A sequences and experimentally measure the optimal GDP-binding temperature of EF-1A from ancient and extant Asgard archaea, to infer the evolution of optimal growth temperatures in Asgardarchaeota. Our results suggest that the Asgard ancestor of eukaryotes was a moderate thermophile, with an optimal growth temperature around 53 °C. The origin of eukaryotes appears to coincide with a transition from thermophilic to mesophilic lifestyle during the evolution of Asgard archaea.

Defining eukaryotes to dissect eukaryogenesis

The origin of eukaryotes is among the most contentious debates in evolutionary biology, attracting multiple seemingly incompatible theories seeking to explain the sequence in which eukaryotic characteristics were acquired. Much of the controversy arises from differing views on the defining characteristics of eukaryotes. We argue that eukaryotes should be defined phylogenetically, and that doing so clarifies where competing hypotheses of eukaryogenesis agree and how we may test among aspects of disagreement. Some hypotheses make predictions about the phylogenetic origins of eukaryotic genes and are distinguishable on that basis. However, other hypotheses differ only in the order of key evolutionary steps, like mitochondrial endosymbiosis and nuclear assembly, which cannot currently be distinguished phylogenetically. Stages within eukaryogenesis may be made identifiable through the absolute dating of gene duplicates that map to eukaryotic traits, such as in genes of host or mitochondrial origin that duplicated and diverged functionally prior to emergence of the last eukaryotic common ancestor. In this way, it may finally be possible to distinguish heat from light in the debate over eukaryogenesis.