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Biology is an Informational Science – PowerPoint PPT presentation

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Title: Fraser 2000


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Fraser 2000
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Metzker 2010
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Metzker 2010
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Boller and Felix 2009
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Jones and Dangl 2006
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Jones and Dangl 2006
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Problems in pathogenic microbiology in
pre-genomics era Genes associated with
deployment of virulence factors have strong but
pleiotropic phenotypes Genes interacting with
host and its immune system are typically
redundant and have weak phenotypes
Raskin et al. 2006
Lindeberg et al. 2006
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Medini et al. 2008
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Brown et al. 2001
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Harris et al. 2010
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Medini et al. 2008
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Hacker and Kaper 2000
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Hacker and Kaper 2000
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Fraser 2000
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Bumann 2009
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Falkow 2004
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Pallen and Wren 2007
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Torto-Alalibo et al. 2009
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Falkow 2004
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Schneider and Collmer 2010
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  • Biology is an Informational Science
  •  
  • "The Human Genome Project has propelled us toward
    the view that biological systems are
    fundamentally composed of two types of
    information genes, encoding the molecular
    machines that execute the functions of life, and
    networks of regulatory interactions, specifying
    how genes are expressed. All of this information
    is hierarchical in nature DNA ? mRNA ? protein ?
    protein interactions ? informational pathways ?
    informational networks ? cells ? tissues or
    networks of cells ? an organism ? populations ?
    ecologies. Of course, other macro-moleculesand
    small molecules also participate in these
    information hierarchies, but the process is
    driven by genes and interactions between genes
    and their environments. The central task of
    systems biology is (a) to comprehensively gather
    information from each of these distinct levels
    for individual biological systems and (b) to
    integrate these data to generate predictive
    mathematical models of the system".
  •  
  • Biological information has several important
    features
  • It operates on multiple hierarchical levels of
    organization.
  • It is processed in complex networks.
  • These information networks are typically robust,
    such that many single perturbations will not
    greatly effect them.
  • There are key nodes in the network where
    perturbations may have profound effects these
    offer powerful targets for the understanding and
    manipulation of the system."
  • From Ideker, T., T. Galitski, and L. Hood. 2001.
    A new approach to decoding life systems biology.
    Annu Rev Genomics Hum Genet 2343-72.

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Pathogenomics research overview
Steps
Limitations
Genome sequencing and annotation
(Conserved) hypotheticals, misannotation, next-gen
sequencing problems with mobilome
Comprehensive identification of virulence gene
candidates by various means
Bioinformatic prioritization of virulence gene
candidates and generation of hypotheses regarding
functions of encoded factors
Protein structure/function prediction
Experimental determination of functions of
individual virulence factors
Characterization bottleneck
Integrate knowledge of factors for use
in -eco-evo-systems biology study of
pathogen -comparative genomics
Ongoing curation
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