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PMID: 17851692 Published · ppublish English Journal Article Review

The random versus fragile breakage models of chromosome evolution: a matter of resolution.

Molecular genetics and genomics : MGG ·Vol. 278 ·No. 5 ·2007-11-00 ·Pages 487-91

Becker TS, Lenhard B

Abstract

Conserved synteny--the sharing of at least one orthologous gene by a pair of chromosomes from two species--can, in the strictest sense, be viewed as sequence conservation between chromosomes of two related species, irrespective of whether coding or non-coding sequence is examined. The recent sequencing of multiple vertebrate genomes indicates that certain chromosomal segments of considerable size are conserved in gene order as well as underlying non-coding sequence across all vertebrates. Some of these segments lost genes or non-coding sequence and/or underwent breakage only in teleost genomes, presumably because evolutionary pressure acting on these regions to remain intact were relaxed after an additional round of whole genome duplication. Random reporter insertions into zebrafish chromosomes combined with computational genome-wide analysis indicate that large chromosomal areas of multiple genes contain long-range regulatory elements, which act on their target genes from several gene distances away. In addition, computational breakpoint analyses suggest that recurrent evolutionary breaks are found in "fragile regions" or "hotspots", outside of the conserved blocks of synteny. These findings cannot be accommodated by the random breakage model and suggest that this view of genome and chromosomal evolution requires substantial reassessment.

MeSH Terms
Animals Chromosome Mapping Chromosomes/ultrastructure DNA Damage Evolution, Molecular Genetic Techniques Genome Genomics Humans Models, Biological Models, Genetic Synteny Zebrafish
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Becker Thomas S
Sars Centre, University of Bergen, Bergen, Norway. Tom.Becker@sars.uib.no
Lenhard Boris
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Article Info
Journal
Molecular genetics and genomics : MGG
Abbr.
Mol Genet Genomics
ISSN
1617-4615
Published
2007-11-00
Epub
2007-00-13
Pages
487-91
Language
English
Region
Germany
NLM ID
101093320
Subset
IM
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