Transcript
Page 1: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through

A Web Interface to analyse SOM of Bipartitions of Gene Phylogenies - A Walk Through

J. Peter Gogarten, Maria Poptsova Dept. of Molecular and Cell Biology

University of ConnecticutNeha Nahar, Lutz Hamel

Department of Computer Science and Statistics University of Rhode Island

Page 2: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through

BranchClust

n Genomes

Super Families

Gene Families

Reconstruct Phylogenetic History for Each Family

Page 3: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through

Data Matrix

Biapartiton #1 (**….….)

… Biapartiton #k(*******..)

Support value vector for a set #1 of orthologous genes P11 … P1k

Support value vector for a set #2 of orthologous genes P21 … P2k

… … … …

Support value vector for a set #m of orthologous genes Pn1 … Pnk

Number of bipartitions (k) for N genomes is equal to 2(N-1)-N-1.

Page 4: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through

Visualizing Multiple Genomes: SOMs

SOM Self-Organizing Map An artificial neural network approach to clustering

we are looking for clusters of genes which favor certain tree topologies

Advantages over other clustering approaches: No a priori knowledge of how many clusters to expect Explicit summary of commonalities and differences between

clusters Visually appealing representation

T. Kohonen, Self-organizing maps, 3rd ed. Berlin ; New York: Springer, 2001.

Page 5: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through
Page 6: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through
Page 7: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through
Page 8: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through
Page 9: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through
Page 10: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through

All clusters selected => ATV tree viewer applet (Zmasek & Eddy, Bioinformatics, 17, 383-384 2001) displays plurality consensus of all gene families.

ATV allows to modify display

Page 11: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through

Select branch to place root

Select to re-root tree

Page 12: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through

Cren-

archaeotaE

uryarchaeota

Root

Page 13: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through
Page 14: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through

List of strongly supported bipartitions, including conflicts

Page 15: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through

click to open map as pdf

Page 16: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through

select clusters that support bipartition

“well behaved” gene families

Page 17: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through

gene families that group Archaeoglobus with Methanosarcina

Page 18: A Web Interface to analyse SOM of   Bipartitions of Gene Phylogenies - A Walk Through

prolyl-tRNA synthetase, a gene family that groups the Halobacteria with the outgroup.

This gene was acquired by the halobacterial lineage from the bacteria. These rare inter-domain gene transfers allow to correlate evolution in the three domains of life. (see Huang & Gogarten: Ancient horizontal gene transfer can benefit phylogenetic reconstruction. Trends in Genetics 22 (7): 361-366. 2006)


Top Related