dbCNS: A New Database for Conserved Noncoding Sequences.

Mol Biol Evol

Population Genetics Laboratory, Department of Genomics and Evolutionary Biology, National Institute of Genetics, Mishima, Japan.

Published: April 2021

AI Article Synopsis

  • Developed dbCNS, a new database for conserved noncoding sequences (CNSs) crucial for protein expression control in various eukaryotes, particularly primates.
  • This database integrates approximately 6.9 million CNSs from multiple vertebrate genomes, offering users the ability to search for CNSs near specific genes.
  • dbCNS also includes genome sequences from 161 species, facilitating phylogenetic analysis and linking CNSs to genetic diseases through associations with pathogenic single-nucleotide polymorphisms.

Article Abstract

We developed dbCNS (http://yamasati.nig.ac.jp/dbcns), a new database for conserved noncoding sequences (CNSs). CNSs exist in many eukaryotes and are assumed to be involved in protein expression control. Version 1 of dbCNS, introduced here, includes a powerful and precise CNS identification pipeline for multiple vertebrate genomes. Mutations in CNSs may induce morphological changes and cause genetic diseases. For this reason, many vertebrate CNSs have been identified, with special reference to primate genomes. We integrated ∼6.9 million CNSs from many vertebrate genomes into dbCNS, which allows users to extract CNSs near genes of interest using keyword searches. In addition to CNSs, dbCNS contains published genome sequences of 161 species. With purposeful taxonomic sampling of genomes, users can employ CNSs as queries to reconstruct CNS alignments and phylogenetic trees, to evaluate CNS modifications, acquisitions, and losses, and to roughly identify species with CNSs having accelerated substitution rates. dbCNS also produces links to dbSNP for searching pathogenic single-nucleotide polymorphisms in human CNSs. Thus, dbCNS connects morphological changes with genetic diseases. A test analysis using 38 gnathostome genomes was accomplished within 30 s. dbCNS results can evaluate CNSs identified by other stand-alone programs using genome-scale data.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042745PMC
http://dx.doi.org/10.1093/molbev/msaa296DOI Listing

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