Unknown

Dataset Information

0

Determination of the phylogenetic relationships among Pacific salmonids by using short interspersed elements (SINEs) as temporal landmarks of evolution.


ABSTRACT: Several subfamilies of the salmonid Hpa I short interspersed element (SINE) family were isolated from salmonid genomes and were sequenced. For each genomic locus that represented the subfamily, amplification by PCR of the orthologous loci in the 12 fish allowed us to determine the order of branching of the Pacific salmonid species. The deduced phylogeny suggests three evolutionary lines, namely, a line of chum salmon, pink salmon, and kokanee; a line of coho salmon and chinook salmon; and a line of steelhead trout. Our data also support a change in the phylogenetic assignment of steelhead trout from Salmo to Oncorhynchus. We present here an extensive phylogenetic tree constructed from an analysis of differential insertion of SINEs, and we propose that SINE insertion analysis is one of the best available methods for clarifying the order of divergence of closely related species.

SUBMITTER: Murata S 

PROVIDER: S-EPMC47062 | biostudies-other | 1993 Aug

REPOSITORIES: biostudies-other

altmetric image

Publications

Determination of the phylogenetic relationships among Pacific salmonids by using short interspersed elements (SINEs) as temporal landmarks of evolution.

Murata S S   Takasaki N N   Saitoh M M   Okada N N  

Proceedings of the National Academy of Sciences of the United States of America 19930801 15


Several subfamilies of the salmonid Hpa I short interspersed element (SINE) family were isolated from salmonid genomes and were sequenced. For each genomic locus that represented the subfamily, amplification by PCR of the orthologous loci in the 12 fish allowed us to determine the order of branching of the Pacific salmonid species. The deduced phylogeny suggests three evolutionary lines, namely, a line of chum salmon, pink salmon, and kokanee; a line of coho salmon and chinook salmon; and a line  ...[more]

Similar Datasets

| S-EPMC15861 | biostudies-literature
| S-EPMC1356118 | biostudies-literature
| S-EPMC5585668 | biostudies-literature
| S-EPMC117560 | biostudies-literature
| S-EPMC6328105 | biostudies-literature
| S-EPMC5408816 | biostudies-literature
| S-EPMC4223381 | biostudies-literature
| S-EPMC8010984 | biostudies-literature
| S-EPMC1207951 | biostudies-other
| S-EPMC44976 | biostudies-other