Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Extensive domain shuffling in transcription regulators of DNA viruses and implications for the origin of fungal APSES transcription factors

Metadata Updated: September 6, 2025

Background Viral DNA-binding proteins have served as good models to study the biochemistry of transcription regulation and chromatin dynamics. Computational analysis of viral DNA-binding regulatory proteins and identification of their previously undetected homologs encoded by cellular genomes might lead to a better understanding of their function and evolution in both viral and cellular systems.

      Results
      The phyletic range and the conserved DNA-binding domains of the viral regulatory proteins of the poxvirus D6R/N1R and baculoviral Bro protein families have not been previously defined. Using computational analysis, we show that the amino-terminal module of the D6R/N1R proteins defines a novel, conserved DNA-binding domain (the KilA-N domain) that is found in a wide range of proteins of large bacterial and eukaryotic DNA viruses. The KilA-N domain is suggested to be homologous to the fungal DNA-binding APSES domain. We provide evidence for the KilA-N and APSES domains sharing a common fold with the nucleic acid-binding modules of the LAGLIDADG nucleases and the amino-terminal domains of the tRNA endonuclease. The amino-terminal module of the Bro proteins is another, distinct DNA-binding domain (the Bro-N domain) that is present in proteins whose domain architectures parallel those of the KilA-N domain-containing proteins. A detailed analysis of the KilA-N and Bro-N domains and the associated domains points to extensive domain shuffling and lineage-specific gene family expansion within DNA virus genomes.


      Conclusions
      We define a large class of novel viral DNA-binding proteins and their cellular homologs and identify their domain architectures. On the basis of phyletic pattern analysis we present evidence for a probable viral origin of the fungus-specific cell-cycle regulatory transcription factors containing the APSES DNA-binding domain. We also demonstrate the extensive role of lineage-specific gene expansion and domain shuffling, within a limited set of approximately 24 domains, in the generation of the diversity of virus-specific regulatory proteins.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date July 24, 2025
Metadata Updated Date September 6, 2025

Metadata Source

Harvested from Healthdata.gov

Additional Metadata

Resource Type Dataset
Metadata Created Date July 24, 2025
Metadata Updated Date September 6, 2025
Publisher National Institutes of Health
Maintainer
NIH
Identifier https://healthdata.gov/api/views/gvnw-kb7h
Data First Published 2025-07-14
Data Last Modified 2025-09-06
Category NIH
Public Access Level public
Bureau Code 009:25
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://healthdata.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 9aadcc7d-f4e8-4c7a-ba49-085be89e0740
Harvest Source Id 651e43b2-321c-4e4c-b86a-835cfc342cb0
Harvest Source Title Healthdata.gov
Homepage URL https://healthdata.gov/d/gvnw-kb7h
Program Code 009:033
Source Datajson Identifier True
Source Hash 4b5e51429bc84b2c951ce8d7d1e8527f510b4b127863c4ca9b78b40d47903b06
Source Schema Version 1.1

Didn't find what you're looking for? Suggest a dataset here.