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Two Component Systems Sequence Characteristics Identification in Bacterial Genome

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Title: Two Component Systems Sequence Characteristics Identification in Bacterial Genome


1
Two Component Systems Sequence Characteristics
Identification in Bacterial Genome
  • Yaw-Ling Lin
  • Dept Computer Sci. Info. Management,
  • Providence University, Taichung, Taiwan.

2
Two-Component System
  • Two-component systems (2CS)
  • Sensor histidine kinase
  • response regulator
  • The major controlling machinery in order for
    bacteria to encounter a diverse and often hostile
    environment

3
2CS in Pseudomonas aeruginosa PAO1
  • Genome 6.3M bp
  • predicted genes 5570
  • 123 genes were classified as 2CSs.

Complete genome sequence of Pseudomonas
aeruginosa PAO1, an opportunistic pathogen.
Nature. 2000 Aug 31406(6799)947-8. by Stover
CK, Pham XQ, Erwin AL, et al.
http//www.pseudomonas.com/
4
2CS in PAO1
5
2CS in PAO1
6
2CS in PAO1
7
2CS in PAO1
  • There are 123 annotated 2CS genes in PAO1.
  • Use systemic analysis of the evolutionary
    relationships between the sensor kinase and
    response regulator of a 2CS.
  • Construct phylogenic trees using Clustal-W for 54
    sensor kinases and 59 response regulators.

8
2CS in PAO1 -- Sensor Tree
9
2CS Regulator Tree
10
Subtrees Analysis of 2CS
11
Co-evolution subtree Analysis
versus
SensOr Tree
Regulator Tree
12
Distance Function
13
Algorithm AGR
14
k-agreement Problem
15
k-agreement Algorithm
  • Subtree sum stored the numbers of leaves on the
    internal node --- bottom-up, O(n) time
  • Bucket sort the internal nodes --- O(n) time
  • Identifies the subtrees of T1 with k leaves, say
    A1 to Ap. --- O(n) time
  • Identifies the subtrees of T2 with k leaves, say
    B1 to Bq. --- O(n) time
  • Cross checking A1 to Ap and B1 to Bq --- O(n)
    time

16
Co-evolution sensor/regulator Trees
  • 46 paired clustered sensors and regulators
  • Six groups of 2CS genes were identified
  • Group A 2CS sensor genes PA1335, PA5166 and
    PA5511 and their linked regulator genes PA1336,
    PA5165, and PA5512 are apparently co-evolved from
    a common ancestor. The PA5165/PA5166 pair is
    happened to split earlier than the PA1335/PA1336
    and PA5511/PA5512.
  • Group B, E and F each containing two 2CS operons
    are probably also evolved by gene cluster
    duplication.
  • Group C contained Bordetella parapertussis
    bvgAS-like gene clusters PA3044/PA3045 and
    PA3946/PA3947/PA3948.
  • Ggroup D, the gene clusters PS2571/PA2572 and
    PA2882/PA2881 appeared to be perfectly
    co-evolved.

17
Co-evolution Tree Analysis
18
Co-evolution Tree Analysis
19
Correlation analysis
  • Does gene duplication tend to occur within a
    relative short distance on a bacterial genome?
  • Idea a dot-matrix plot will be created, with the
    X-axis being the physical distance, and Y-axis
    being the evolutionary distance, between two
    comparing 2CS.
  • Some subset of 2CS, presumably functionally
    related, could possess the correlation between
    their physical and evolutionary distances.

20
k-correlation Problem
21
k-correlation is NP-complete
  • Let M1 be an adjacent matrix of a graph G, and M2
    be an zero matrix.
  • If we can solve the k-correlation problem in
    polynomial time, then the maximum independent set
    problem will be polynomial solvable.

22
Conclusion
  • Identifying novel 2CS in other bacteria genomes
    as well as in eucaryotic genomes
  • Clustering analysis of 2CS for functional
    prediction of uncharacterized genes
  • Co-evolutionary analysis of 2CS

23
Future Research
  • Identifying novel 2CS in other bacteria genomes
    as well as in eucaryotic genomes
  • Clustering analysis of 2CS for functional
    prediction of uncharacterized genes
  • Co-evolutionary analysis of 2CS
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