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Towards functional characterization of archaeal genomic dark matter

A substantial fraction of archaeal genes, from ∼30% to as much as 80%, encode ‘hypothetical' proteins or genomic ‘dark matter'. Archaeal genomes typically contain a higher fraction of dark matter compared with bacterial genomes, primarily, because isolation and cultivation of most archaea...

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Detalles Bibliográficos
Autores principales: Makarova, Kira S., Wolf, Yuri I., Koonin, Eugene V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393860/
https://www.ncbi.nlm.nih.gov/pubmed/30710061
http://dx.doi.org/10.1042/BST20180560
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author Makarova, Kira S.
Wolf, Yuri I.
Koonin, Eugene V.
author_facet Makarova, Kira S.
Wolf, Yuri I.
Koonin, Eugene V.
author_sort Makarova, Kira S.
collection PubMed
description A substantial fraction of archaeal genes, from ∼30% to as much as 80%, encode ‘hypothetical' proteins or genomic ‘dark matter'. Archaeal genomes typically contain a higher fraction of dark matter compared with bacterial genomes, primarily, because isolation and cultivation of most archaea in the laboratory, and accordingly, experimental characterization of archaeal genes, are difficult. In the present study, we present quantitative characteristics of the archaeal genomic dark matter and discuss comparative genomic approaches for functional prediction for ‘hypothetical' proteins. We propose a list of top priority candidates for experimental characterization with a broad distribution among archaea and those that are characteristic of poorly studied major archaeal groups such as Thaumarchaea, DPANN (Diapherotrites, Parvarchaeota, Aenigmarchaeota, Nanoarchaeota and Nanohaloarchaeota) and Asgard.
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spelling pubmed-63938602019-03-06 Towards functional characterization of archaeal genomic dark matter Makarova, Kira S. Wolf, Yuri I. Koonin, Eugene V. Biochem Soc Trans Review Articles A substantial fraction of archaeal genes, from ∼30% to as much as 80%, encode ‘hypothetical' proteins or genomic ‘dark matter'. Archaeal genomes typically contain a higher fraction of dark matter compared with bacterial genomes, primarily, because isolation and cultivation of most archaea in the laboratory, and accordingly, experimental characterization of archaeal genes, are difficult. In the present study, we present quantitative characteristics of the archaeal genomic dark matter and discuss comparative genomic approaches for functional prediction for ‘hypothetical' proteins. We propose a list of top priority candidates for experimental characterization with a broad distribution among archaea and those that are characteristic of poorly studied major archaeal groups such as Thaumarchaea, DPANN (Diapherotrites, Parvarchaeota, Aenigmarchaeota, Nanoarchaeota and Nanohaloarchaeota) and Asgard. Portland Press Ltd. 2019-02-28 2019-02-01 /pmc/articles/PMC6393860/ /pubmed/30710061 http://dx.doi.org/10.1042/BST20180560 Text en © 2019 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Articles
Makarova, Kira S.
Wolf, Yuri I.
Koonin, Eugene V.
Towards functional characterization of archaeal genomic dark matter
title Towards functional characterization of archaeal genomic dark matter
title_full Towards functional characterization of archaeal genomic dark matter
title_fullStr Towards functional characterization of archaeal genomic dark matter
title_full_unstemmed Towards functional characterization of archaeal genomic dark matter
title_short Towards functional characterization of archaeal genomic dark matter
title_sort towards functional characterization of archaeal genomic dark matter
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393860/
https://www.ncbi.nlm.nih.gov/pubmed/30710061
http://dx.doi.org/10.1042/BST20180560
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