ZFIN ID: ZDB-PUB-060313-16
The Fanconi anemia gene network is conserved from zebrafish to human
Titus, T.A., Selvig, D.R., Qin, B., Wilson, C., Starks, A.M., Roe, B.A., and Postlethwait, J.H.
Date: 2006
Source: Gene   371(2): 211-223 (Journal)
Registered Authors: Postlethwait, John H., Starks, Amber M., Titus, Tom A., Wilson, Catherine
Keywords: Genome integrity, DNA repair, Danio rerio, Conserved synteny, Complex trait, Hydrophobicity, Ciona, Tetraodo
MeSH Terms:
  • Amino Acid Sequence
  • Animals
  • Chromosomes, Artificial, Bacterial
  • Fanconi Anemia/genetics*
  • Fanconi Anemia Complementation Group D2 Protein/genetics*
  • Humans
  • Molecular Sequence Data
  • Sequence Homology, Amino Acid
  • Zebrafish/genetics*
PubMed: 16515849 Full text @ Gene
Fanconi anemia (FA) is a complex disease involving nine identified and two unidentified loci that define a network essential for maintaining genomic stability. To test the hypothesis that the FA network is conserved in vertebrate genomes, we cloned and sequenced zebrafish (Danio rerio) cDNAs and/or genomic BAC clones orthologous to all nine cloned FA genes (FANCA, FANCB, FANCC, FANCD1, FANCD2, FANCE, FANCF, FANCG, and FANCL), and identified orthologs in the genome database for the pufferfish Tetraodon nigroviridis. Genomic organization of exons and introns was nearly identical between zebrafish and human for all genes examined. Hydrophobicity plots revealed conservation of FA protein structure. Evolutionarily conserved regions identified functionally important domains, since many amino acid residues mutated in human disease alleles or shown to be critical in targeted mutagenesis studies are identical in zebrafish and human. Comparative genomic analysis demonstrated conserved syntenies for all FA genes. We conclude that the FA gene network has remained intact since the last common ancestor of zebrafish and human lineages. The application of powerful genetic, cellular, and embryological methodologies make zebrafish a useful model for discovering FA gene functions, identifying new genes in the network, and identifying therapeutic compounds.