Affordable Access

Access to the full text

Comparative analyses of multi-species sequences from targeted genomic regions.

Authors
  • Jw, Thomas
  • Jw, Touchman
  • Rw, Blakesley
  • Gg, Bouffard
  • Sm, Beckstrom-Sternberg
  • Eh, Margulies
  • M, Blanchette
  • Ac, Siepel
  • Pj, Thomas
  • Jc, Mcdowell
  • B, Maskeri
  • Nf, Hansen
  • Ms, Schwartz
  • Rj, Weber
  • Wj, Kent
  • D, Karolchik
  • Tc, Bruen
  • R, Bevan
  • Dj, Cutler
  • S, Schwartz
  • And 51 more
Type
Published Article
Journal
Nature
Publisher
Springer Nature
Publication Date
Aug 25, 2003
Volume
424
Issue
6950
Pages
788–793
Identifiers
DOI: 10.1038/nature01858
PMID: 12917688
Source
UCSC Bioinformatics biomedical-ucsc
License
Green

Abstract

The systematic comparison of genomic sequences from different organisms represents a central focus of contemporary genome analysis. Comparative analyses of vertebrate sequences can identify coding and conserved non-coding regions, including regulatory elements, and provide insight into the forces that have rendered modern-day genomes. As a complement to whole-genome sequencing efforts, we are sequencing and comparing targeted genomic regions in multiple, evolutionarily diverse vertebrates. Here we report the generation and analysis of over 12 megabases (Mb) of sequence from 12 species, all derived from the genomic region orthologous to a segment of about 1.8 Mb on human chromosome 7 containing ten genes, including the gene mutated in cystic fibrosis. These sequences show conservation reflecting both functional constraints and the neutral mutational events that shaped this genomic region. In particular, we identify substantial numbers of conserved non-coding segments beyond those previously identified experimentally, most of which are not detectable by pair-wise sequence comparisons alone. Analysis of transposable element insertions highlights the variation in genome dynamics among these species and confirms the placement of rodents as a sister group to the primates.

Report this publication

Statistics

Seen <100 times