Exploring the structural landscape of DNA maintenance proteins

Evolutionary annotation of genome maintenance (GM) proteins has conventionally been established by remote relationships within protein sequence databases. However, often no significant relationship can be established. Highly sensitive approaches to attain remote homologies based on iterative profile...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NATURE COMMUNICATIONS 2024-09, Vol.15 (1), p.7748-17, Article 7748
Hauptverfasser: Schou, Kenneth Bødkter, Mandacaru, Samuel, Tahir, Muhammad, Tom, Nikola, Nilsson, Ann-Sofie, Andersen, Jens S., Tiberti, Matteo, Papaleo, Elena, Bartek, Jiri
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Evolutionary annotation of genome maintenance (GM) proteins has conventionally been established by remote relationships within protein sequence databases. However, often no significant relationship can be established. Highly sensitive approaches to attain remote homologies based on iterative profile-to-profile methods have been developed. Still, these methods have not been systematically applied in the evolutionary annotation of GM proteins. Here, by applying profile-to-profile models, we systematically survey the repertoire of GM proteins from bacteria to man. We identify multiple GM protein candidates and annotate domains in numerous established GM proteins, among other PARP, OB-fold, Macro, TUDOR, SAP, BRCT, KU, MYB (SANT), and nuclease domains. We experimentally validate OB-fold and MIS18 (Yippee) domains in SPIDR and FAM72 protein families, respectively. Our results indicate that, surprisingly, despite the immense interest and long-term research efforts, the repertoire of genome stability caretakers is still not fully appreciated. Here the authors use computational methods for sequence and structure analysis of genome maintenance proteins to catalog and identify genome maintenance families across species. This allows to identify several genome maintenance family members.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-024-49983-7