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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
general
Human proα1(I) collagen gene structure reveals evolutionary conservation of a pattern of introns and exons
Nature, Volume 310, No. 5975, Year 1984
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Description
The collagens represent an interesting example of a structurally related but genetically distinct family of proteins1. Type I, the most abundant of the vertebrate collagens, comprises two proα1(I) chains and one proα2(I) chain, each containing terminal propeptides and a central domain of 338 (Gly, X, Y) repeats. The structure of the chicken proα2(I) gene shows an intriguing relationship between exon organization and the arrangement of (Gly, X, Y) repeats (see ref. 2 for review). This has led to the suggestion3 that the collagens evolved from a common ancestral unit of 54 base pairs (bp). Here we present the structure of the entire human proα1(I) gene and compare this with the chicken proα2(I). The exon arrangement of the two genes is remarkably similar, although the human proα1(I) is more compact because of the shorter length of its introns. The data strongly support the notion that the type I genes have evolved from an ancestral multi-exon unit, and that once the gene was translated, a strong evolutionary pressure caused it to maintain this elaborate structure. © 1984 Nature Publishing Group.
Authors & Co-Authors
Chu, Mon Li
United States, Piscataway
Rutgers Robert Wood Johnson Medical School
de Wet, Wouter J.
South Africa, Potchefstroom
North-west University
Bernard, Michael
United States, Piscataway
Rutgers Robert Wood Johnson Medical School
Ding, Juy Fang
United States, Piscataway
Rutgers Robert Wood Johnson Medical School
Morabito, Maria
United States, Piscataway
Rutgers Robert Wood Johnson Medical School
Myers, Jeanne
United States, Piscataway
Rutgers Robert Wood Johnson Medical School
Williams, Charlene J.
United States, Piscataway
Rutgers Robert Wood Johnson Medical School
Ramirez, Francesco
United States, Piscataway
Rutgers Robert Wood Johnson Medical School
Statistics
Citations: 141
Authors: 8
Affiliations: 2
Identifiers
Doi:
10.1038/310337a0
ISSN:
00280836
Research Areas
Genetics And Genomics