PUBLICATION
The syntenic relationship of the zebrafish and human genomes
- Authors
- Barbazuk, W.B., Korf, I., Kadavi, C., Heyen, J., Tate, S., Wun, E., Bedell, J.A., McPherson, J.D., and Johnson, S.L.
- ID
- ZDB-PUB-001017-3
- Date
- 2000
- Source
- Genome research 10(9): 1351-1358 (Journal)
- Registered Authors
- Johnson, Stephen L., Kadavi, Candy Ann
- Keywords
- none
- MeSH Terms
-
- Animals
- Chromosome Mapping
- Chromosomes, Human/genetics
- Conserved Sequence
- Expressed Sequence Tags
- Gene Expression Regulation, Developmental/genetics
- Genetic Linkage/genetics
- Genome, Human*
- Humans
- Zebrafish/genetics*
- PubMed
- 10984453 Full text @ Genome Res.
Citation
Barbazuk, W.B., Korf, I., Kadavi, C., Heyen, J., Tate, S., Wun, E., Bedell, J.A., McPherson, J.D., and Johnson, S.L. (2000) The syntenic relationship of the zebrafish and human genomes. Genome research. 10(9):1351-1358.
Abstract
The zebrafish is an important vertebrate model for the mutational analysis of genes effecting developmental processes. Understanding the relationship between zebrafish genes and mutations with those of humans will require understanding the syntenic correspondence between the zebrafish and human genomes. High throughput gene and EST mapping projects in zebrafish are now facilitating this goal. Map positions for 523 zebrafish genes and ESTs with predicted human orthologs reveal extensive contiguous blocks of synteny between the zebrafish and human genomes. Eighty percent of genes and ESTs analyzed belong to conserved synteny groups (two or more genes linked in both zebrafish and human) and 56% of all genes analyzed fall in 118 homology segments (uninterrupted segments containing two or more contiguous genes or ESTs with conserved map order between the zebrafish and human genomes). This work now provides a syntenic relationship to the human genome for the majority of the zebrafish genome.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping