ArticleMolecular biology and evolution2016
Lokiarchaeota Marks the Transition between the Archaeal and Eukaryotic Selenocysteine Encoding Systems.
Article in Molecular biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 45 citations in OpenAlex.
- Recent advances in exploring the composition and evolution of the prokaryotic selenoproteome.Applied and environmental microbiology · 2026Review
- Defining the methanogenic SECIS elementRNA biology · 2025Article
- Cracking the Code: Reprogramming the Genetic Script in Prokaryotes and Eukaryotes to Harness the Power of Noncanonical Amino Acids.Chemical reviews · 2024Review
- Overcoming Challenges with Biochemical Studies of Selenocysteine and Selenoproteins.International journal of molecular sciences · 2024Review
- Asgard archaea modulate potential methanogenesis substrates in wetland soil.Nature communications · 2024Article
- Article
- Asgard archaeal selenoproteome reveals a roadmap for the archaea-to-eukaryote transition of selenocysteine incorporation machinery.The ISME journal · 2024Article
- In vivo probing of SECIS-dependent selenocysteine translation in Archaea.Life science alliance · 2023Article
- Selenium Metabolism and Selenoproteins in Prokaryotes: A Bioinformatics Perspective.Biomolecules · 2022Review
- Unconventional genetic code systems in archaea.Frontiers in microbiology · 2022Review
- Historical Roles of Selenium and Selenoproteins in Health and Development: The Good, the Bad and the Ugly.International journal of molecular sciences · 2021Review
- Recoding of stop codons expands the metabolic potential of two novel Asgardarchaeota lineages.ISME communications · 2021Article
- Functions and Regulation of Translation Elongation Factors.Frontiers in molecular biosciences · 2021Review
- Programmed Deviations of Ribosomes From Standard Decoding in Archaea.Frontiers in microbiology · 2021Review
- Bioinformatics of Selenoproteins.Antioxidants & redox signaling · 2020Review
- Bioinformatics of Metalloproteins and Metalloproteomes.Molecules (Basel, Switzerland) · 2020Review
- Article
- New Microbial Lineages Capable of Carbon Fixation and Nutrient Cycling in Deep-Sea Sediments of the Northern South China Sea.Applied and environmental microbiology · 2019Article
- Asgard archaea: Diversity, function, and evolutionary implications in a range of microbiomes.AIMS microbiology · 2019Review
- Selenium-Dependent Antioxidant Enzymes: Actions and Properties of Selenoproteins.Antioxidants (Basel, Switzerland) · 2018Review
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
Abstract
Selenocysteine (Sec) is the 21st amino acid in the genetic code, inserted in response to UGA codons with the help of RNA structures, the SEC Insertion Sequence (SECIS) elements. The three domains of life feature distinct strategies for Sec insertion in proteins and its utilization. While bacteria and archaea possess similar sets of selenoproteins, Sec biosynthesis is more similar among archaea and eukaryotes. However, SECIS elements are completely different in the three domains of life. Here, we analyze the archaeon Lokiarchaeota that resolves the relationships among Sec insertion systems. This organism has selenoproteins representing five protein families, three of which have multiple Sec residues. Remarkably, these archaeal selenoprotein genes possess conserved RNA structures that strongly resemble the eukaryotic SECIS element, including key eukaryotic protein-binding sites. These structures also share similarity with the SECIS element in archaeal selenoprotein VhuD, suggesting a relation of direct descent. These results identify Lokiarchaeota as an intermediate form between the archaeal and eukaryotic Sec-encoding systems and clarify the evolution of the Sec insertion system.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.