University Library
  • Login
A gateway to Melbourne's research publications
Minerva Access is the University's Institutional Repository. It aims to collect, preserve, and showcase the intellectual output of staff and students of the University of Melbourne for a global audience.
View Item 
  • Minerva Access
  • Veterinary and Agricultural Sciences
  • Veterinary Science
  • Veterinary Science - Research Publications
  • View Item
  • Minerva Access
  • Veterinary and Agricultural Sciences
  • Veterinary Science
  • Veterinary Science - Research Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

    Amino acid patterns within short consensus repeats define conserved duplicons shared by genes of the RCA complex.

    Thumbnail
    Citations
    Scopus
    Web of Science
    Altmetric
    8
    7
    Author
    McLure, CA; Dawkins, RL; Williamson, JF; Davies, RA; Berry, J; Natalie, L-J; Laird, R; Gaudieri, S
    Date
    2004-08
    Source Title
    Journal of Molecular Evolution
    Publisher
    Springer Science and Business Media LLC
    University of Melbourne Author/s
    MCLURE, CRAIG
    Affiliation
    Veterinary Science
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    McLure, C. A., Dawkins, R. L., Williamson, J. F., Davies, R. A., Berry, J., Natalie, L. -J., Laird, R. & Gaudieri, S. (2004). Amino acid patterns within short consensus repeats define conserved duplicons shared by genes of the RCA complex.. J Mol Evol, 59 (2), pp.143-157. https://doi.org/10.1007/s00239-004-2609-8.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/28709
    DOI
    10.1007/s00239-004-2609-8
    Description

    C1 - Journal Articles Refereed

    Abstract
    Complement control proteins (CCPs) contain repeated protein domains, short consensus repeats (SCRs), which must be relevant to diverse functions such as complement activation, coagulation, viral binding, fetal implantation, and self-nonself recognition. Although SCRs share some discontinuous and imperfect motifs, there are many variable positions and indels making classification in subfamilies extremely difficult. Using domain-by-domain phylogenetic analysis, we have found that most domains can be classified into only 11 subfamilies, designated a, b, c, d, e, f, g, h, i, j, or k and identified by critical residues. Each particular CCP is characterized by the order of representatives of the subfamilies. Human complement receptor 1 (CR1) has ajefbkd repeated four times and followed by ch. The classification crosses CCPs and indicates that a particular CCP is a function of the mix of SCRs. The aje set is a feature of several CCPs including human CR1 and DAF and murine Crry and appears to be associated with the success or failure of implantation inter alia. This approach facilitates genomic analysis of available sequences and suggests a framework for the evolution of CCPs. Units of duplication range from single SCRs, to septamers such as efbkdaj, to extensive segments such as MCP-CR1L. Imperfections of duplication with subsequent deletion have contributed to diversification.
    Keywords
    Phylogeny and Comparative Analysis; Genetic Immunology; Genomics; Molecular Evolution; Innate Immunity; Expanding Knowledge in the Biological Sciences; Expanding Knowledge in the Medical and Health Sciences

    Export Reference in RIS Format     

    Endnote

    • Click on "Export Reference in RIS Format" and choose "open with... Endnote".

    Refworks

    • Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References


    Collections
    • Minerva Elements Records [45689]
    • Veterinary Science - Research Publications [176]
    Minerva AccessDepositing Your Work (for University of Melbourne Staff and Students)NewsFAQs

    BrowseCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    My AccountLoginRegister
    StatisticsMost Popular ItemsStatistics by CountryMost Popular Authors