Literature DB >> 11766846

Analysis of fragment homology among DNA sequences from cytochrome P450 families 4 and 6.

J C Fogleman1, P B Danielson.   

Abstract

Cytochrome P450s comprise a diverse superfamily of proteins that often share as little as 12% amino acid identity. Accordingly, the identification of novel gene families, subfamilies and alleles has been based primarily on 'benchmark' levels of global amino acid identity and, more recently, phylogenetic relatedness has been used to resolve ambiguous relationships. However, PCR-based cloning strategies have resulted in a large increase in the number of short DNA sequences, particularly among insects. Many of these fragments remain unnamed and even their gene family membership remains unknown due to the uncertainty as to whether these fragments accurately reflect the levels of sequence identity or patterns of evolutionary divergence exhibited by groups of full-length P450 sequences. As a result, the nature of P450 diversity among insects remains obscure. In this paper, P450 sequences belonging to the two major gene families, that is, families CYP4 and CYP6, are analyzed by comparing segments to full-length sequences. A parameter called the Segmental Divergence Index is used to characterize segments of P450s with respect to the degree to which they mirror the divergence of full-length sequences. The reliability of these fragments in phylogenetic analyses is also tested. The results of these analyses support the use of some commonly amplified P450 gene fragments for naming new P450 genes and for studies of P450 diversity and evolution.

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Year:  2000        PMID: 11766846     DOI: 10.1023/a:1012762313991

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  1 in total

1.  Molecular cloning and sequence analysis of novel cytochrome P450 cDNA fragments from Dastarcus helophoroides.

Authors:  Hai-Dong Wang; Fei-Fei Li; Cai He; Jun Cui; Wang Song; Meng-Lou Li
Journal:  J Insect Sci       Date:  2014-02-26       Impact factor: 1.857

  1 in total

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