Literature DB >> 7783198

Identification and analysis of multigene families by comparison of exon fingerprints.

N P Brown1, A J Whittaker, W R Newell, C J Rawlings, S Beck.   

Abstract

Gene families are often recognised by sequence homology using similarity searching to find relationships, however, genomic sequence data provides gene architectural information not used by conventional search methods. In particular, intron positions and phases are expected to be relatively conserved features, because mis-splicing and reading frame shifts should be selected against. A fast search technique capable of detecting possible weak sequence homologies apparent at the intron/exon level of gene organization is presented for comparing spliceosomal genes and gene fragments. FINEX compares strings of exons delimited by intron/exon boundary positions and intron phases (exon fingerprint) using a global dynamic programming algorithm with a combined intron phase identity and exon size dissimilarity score. Exon fingerprints are typically two orders of magnitude smaller than their nucleic acid sequence counterparts giving rise to fast search times: a ranked search against a library of 6755 fingerprints for a typical three exon fingerprint completes in under 30 seconds on an ordinary workstation, while a worst case largest fingerprint of 52 exons completes in just over one minute. The short "sequence" length of exon fingerprints in comparisons is compensated for by the large exon alphabet compounded of intron phase types and a wide range of exon sizes, the latter contributing the most information to alignments. FINEX performs better in some searches than conventional methods, finding matches with similar exon organization, but low sequence homology. A search using a human serum albumin finds all members of the multigene family in the FINEX database at the top of the search ranking, despite very low amino acid percentage identities between family members. The method should complement conventional sequence searching and alignment techniques, offering a means of identifying otherwise hard to detect homologies where genomic data are available.

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Year:  1995        PMID: 7783198     DOI: 10.1006/jmbi.1995.0301

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  9 in total

1.  Exon structure conservation despite low sequence similarity: a relic of dramatic events in evolution?

Authors:  M J Betts; R Guigó; P Agarwal; R B Russell
Journal:  EMBO J       Date:  2001-10-01       Impact factor: 11.598

2.  Gene structure conservation aids similarity based gene prediction.

Authors:  Irmtraud M Meyer; Richard Durbin
Journal:  Nucleic Acids Res       Date:  2004-02-04       Impact factor: 16.971

3.  Divergent intron arrangement in the MB1/LMP7 proteasome gene pair.

Authors:  S Abdulla; S Beck; M Belich; A Jackson; T Nakamura; J Trowsdale
Journal:  Immunogenetics       Date:  1996       Impact factor: 2.846

4.  Phylogeny and structure of the RING3 gene.

Authors:  K L Thorpe; S Abdulla; J Kaufman; J Trowsdale; S Beck
Journal:  Immunogenetics       Date:  1996       Impact factor: 2.846

5.  Gene Structure-Based Homology Search Identifies Highly Divergent Putative Effector Gene Family.

Authors:  David L Stern; Clair Han
Journal:  Genome Biol Evol       Date:  2022-05-31       Impact factor: 4.065

6.  Introns in, introns out in plant gene families: a genomic approach of the dynamics of gene structure.

Authors:  Alain Lecharny; Nathalie Boudet; Isabelle Gy; Sébastien Aubourg; Martin Kreis
Journal:  J Struct Funct Genomics       Date:  2003

7.  Identification of the ancestral killer immunoglobulin-like receptor gene in primates.

Authors:  Jennifer G Sambrook; Arman Bashirova; Hanne Andersen; Mike Piatak; George S Vernikos; Penny Coggill; Jeff D Lifson; Mary Carrington; Stephan Beck
Journal:  BMC Genomics       Date:  2006-08-15       Impact factor: 3.969

8.  Multiple non-collinear TF-map alignments of promoter regions.

Authors:  Enrique Blanco; Roderic Guigó; Xavier Messeguer
Journal:  BMC Bioinformatics       Date:  2007-04-24       Impact factor: 3.169

9.  Exalign: a new method for comparative analysis of exon-intron gene structures.

Authors:  Giulio Pavesi; Federico Zambelli; Corrado Caggese; Graziano Pesole
Journal:  Nucleic Acids Res       Date:  2008-04-08       Impact factor: 16.971

  9 in total

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