Ab initio genotype-phenotype association reveals intrinsic modularity in genetic networks (in bacteria) Olivier Elemento, Tavazoie lab.

Slides:



Advertisements
Similar presentations
Lecture 8: Bacterial Differentiation: Sporulation Reading assignments in Text: Lengeler et al Lecture 8 Text: pages Sporulation Text: pages.
Advertisements

Using phylogenetic profiles to predict protein function and localization As discussed by Catherine Grasso.
Bacterial motility, chemotaxis Lengeler et al. Chapter 20, p Global regulatory networks and signal transduction pathways.
Chemotaxis and Motility in E. coli Examples of Biochemical and Genetic Networks Background Chemotaxis- signal transduction network Flagella gene expression.
1 SIGNAL TRANSDUCTION BACTERIA SENSE CHANGE IN ENVIRONMENT AND RESPOND TO IT TWO COMPONENT SIGNAL TRANSDUCTION SYSTEM PHOSPHO-RELAY SYSTEM SENSOR KINASE.
Bacterial Physiology (Micr430) Lecture 16 Bacterial Development (Text Chapter: 18.15; 18.18)
Introduction to yeast genetics Michelle Attner July 24, 2012.
Signal transduction in bacterial chemotaxis Lengeler et al. pp
Bacterial chemotaxis Dr. habil. Kőhidai László 2012.
Learning rule-based models from gene expression time profiles annotated with Gene Ontology terms Jan Komorowski and Astrid Lägreid.
Systems Biology Existing and future genome sequencing projects and the follow-on structural and functional analysis of complete genomes will produce an.
Cluster analysis of networks generated through homology: automatic identification of important protein communities involved in cancer metastasis Jonsson.
Microbial response to changing environments. Changes in physiology Inherited reversible changes.
Bacterial Physiology (Micr430) Lecture 1 Overview of Bacterial Physiology (Text Chapters: 1 and 2)
Protein interaction Computational (inferred) Experimental (observed)
Figure 13.9 Initiation and elongation steps of transcription.
Advanced Microbial Physiology Lecture 2 Cell Wall Biosynthesis.
Marcotte EM, Pellegrini M, Ng HL, Rice DW, Yeates TO, Eisenberg D. (1999). Detecting protein function and protein-protein interactions from genome sequences.
Other Extracellular Layers Outer membrane Capsule Sheath Cell Appendages Filamentous, small: Fimbriae, Pili, & Spinae Filamentous, large: Flagella Outer.
Colinearity of Gene and Protein DNA RNA protein genotype function organism phenotype DNA sequence amino acid sequence transcription translation.
Subsystem Approach to Genome Annotation National Microbial Pathogen Data Resource Claudia Reich NCSA, University of Illinois, Urbana.
Sigma Factors & Transcriptional Regulation of P. syringae TTSS Alexander Wong.
Towards Systematic Identification of cdiGMP Binding Proteins
The Membrane Proteome of Shewanella oneidensis MR-1 C.S. Giometti, T. Khare, N. VerBerkmoes, E. O’Loughlin, K. Nealson ERSP PI Meeting April, 2006 Oak.
Chapter 11 Assembly of Biomolecules We’ve looked at the construction of monomers for the four classes of biomolecules. Now we will turn to how some of.
Katie Canul 1, Jeneva Foster 2, Christopher Wreden, PhD 2, and Karen Guillemin, PhD 2 1 California State University Monterey Bay, Seaside, CA 2, University.
Analyzing transcription modules in the pathogenic yeast Candida albicans Elik Chapnik Yoav Amiram Supervisor: Dr. Naama Barkai.
أ.د. عالية عبد الباقي شعيب المملكة العربية السعودية جامعة الملك سعود كلية العلوم قسم البنات والأحياء الدقيقة Mic 522 Virulence in Pathogenic Bacteria.
Bacterial protein secretion systems
Subsystem: Succinate dehydrogenase The super-macromolecular respiratory complex II (succinate:quinone oxidoreductase) couples the oxidation of succinate.
Microbial genomics Genomics: study of entire genomes Logical next step after genetics: study of genes Genomics: 1) “Structural genomics” * Determine and.
CONTROL OF GENE EXPRESSION The development of an organism must involve the switching on and off of genes in an orderly manner. This is not fully understood.
Shewanella oneidensis MR1
Using structure in protein function annotation: predicting protein interactions Donald Petrey, Cliff Qiangfeng Zhang, Raquel Norel, Barry Honig Howard.
Table S4. Summary of proteins identified by MALDI-TOF-MS Spot no.* Average Ratio** NCBI accesion no. Gene nameProtein name Theoretical pI/MW SCORE Sequence.
Functional and Evolutionary Attributes through Analysis of Metabolism Sophia Tsoka European Bioinformatics Institute Cambridge UK.
Genome annotation and search for homologs. Genome of the week Discuss the diversity and features of selected microbial genomes. Link to the paper describing.
Type III Secretion System
Figure 3.18 Peptidoglycan cable Ribitol Wall-associated protein Teichoic acid Peptidoglycan Lipoteichoic acid Cytoplasmic membrane © 2012 Pearson Education,
Annotation. Traditional genome annotation BLAST Similarities.
Loose Ends on Chapters 3,5,6 SummerMicrobiology. Spore survival Dipicolinic acid and Ca++ account for 15% of the total spore mass Dipicolinic acid theoretically.
First selection: transformation Plating on plate with Km Cultivation in liquid medium with Km until the cells reach the stationary phase Second selection:
Use of Logic Relationships to Decipher Protein Network Organization Peter M. Bowers, Shawn J. Cokus, David Eisenberg, Todd O. Yeates Presented by Krishna.
Integrated Genomic and Proteomic Analyses of a Systematically Perturbed Metabolic Network Science, Vol 292, Issue 5518, , 4 May 2001.
1 GCCTCAATGGATCCACCACCCTTTTTGGGCA GCCTCAATGGATCCACCACCCTTTTTGGTGCA AGCCTCAATGGATCCACCACCCTTTTTGGTGC AAGCCTCAATGGATCCACCACCCTTTTTGGTG CAAGCCTCAATGGATCCACCACCCTTTTTGGT.
1 Computational functional genomics Lital Haham Sivan Pearl.
Rita Casadio BIOCOMPUTING GROUP University of Bologna, Italy Prediction of protein function from sequence analysis.
CCAGTTGCCGCGTTCACCCTCTCCTCATCCGCGGTTCACCGGCCTCGTTGAGACTGCCTG  SCO0033 GGCCGTCATTCCGACAGCACCCACGTCTCACTCCCCGTGCCCATGCGGGGACCGGGCGGC CCGGCAGTAAGGCTGTCGTGGGTGCAGAGTGAGGGGCACGGGTACGCCCCTGGCCCGCCG.
MYCOBACTERIUM TUBERCULOSIS PROTEOME M. tuberculosis- intracellular pathogen - TB prevalent in Africa and Asia - 1/3 population is infected - 8 million.
Protein. Protein and Roles 1: biological process unknown 1.1 Structural categories 1.2 organism categories 1.3 cellular component o unlocalized.
Flagella. Cytoplasm Storage Granules Plasmids Ribosomes Genome Cytoplasmic Membrane Cell Wall Outer Membrane Peptidoglycan Pili Sex Pili Flagella Capsule.
Characterization of the acid phosphatase from Staphylococcus aureus strain 154 and its development as a reporter system.
S2 Supporting information: RT-qPCR experiment
Transcription(I) 王之仰.
Figure S1 Pathway Kegg description Gene KS 293 SK2
Dr. habil. Kőhidai László
Down-regulated genes in evolved normomutable variants
Suppl 4A Large black circles: query genes
Bacterial flagellar motor
Nutrient-Sensing Mechanisms across Evolution
Dr. habil. Kőhidai László
Prediction of protein function from sequence analysis
Building a flagellum outside the bacterial cell
Hierarchical Evolution of the Bacterial Sporulation Network
Bioinformatics, Vol.17 Suppl.1 (ISMB 2001) Weekly Lab. Seminar
Bacterial chemotaxis: The five sensors of a bacterium
Leinamycin Biosynthesis Revealing Unprecedented Architectural Complexity for a Hybrid Polyketide Synthase and Nonribosomal Peptide Synthetase  Gong-Li.
Network recovery for isoenzymes and protein complexes
Broadly conserved proteins of the type III secretion apparatus and of the flagellum biosynthesis systems in B. subtilis and E. coli/S. typhimurium. Broadly.
Why Have Organelles Retained Genomes?
Presentation transcript:

Ab initio genotype-phenotype association reveals intrinsic modularity in genetic networks (in bacteria) Olivier Elemento, Tavazoie lab

Motility Spore formation Gram-staining Hyper-thermophily Some bacterial phenotypes …

Can we find the genes underlying these phenotypes ?

Motility in bacteria Some (but not all) bacteria are motile Motile bacteria may share genes involved in motility These genes may be absent from non- motile bacteria

Motility presentabsent B. subtilis B. anthrax C. jejeuni ~200 bacterial genomes E. coli (Levesque et al, 2003; Jim, Parmar, Singh and Tavazoie, 2004) M. tuberculosis S. aureus M. Leprae S. Pneumonae ……

Motility B. subtilis B. anthrax C. jejeuni ~200 bacterial genomes E. coli Gene X E. coli (Levesque et al, 2003; Jim, Parmar, Singh and Tavazoie, 2004) M. tuberculosis S. aureus M. Leprae S. Pneumonae …… presentabsent

Motility B. subtilis B. anthrax C. jejeuni ~200 bacterial genomes E. coli Gene X … E. coli E. coli Gene Y (Levesque et al, 2003; Jim, Parmar, Singh and Tavazoie, 2004) M. tuberculosis S. aureus M. Leprae S. Pneumonae …… … High correlation Gene Y is likely involved in motility presentabsent

Motility B. subtilis B. anthrax C. jejeuni ~200 bacterial genomes E. coli (Levesque et al, 2003; Jim, Parmar, Singh and Tavazoie, 2004) M. tuberculosis S. aureus M. Leprae S. Pneumonae …… B. subtilis gene Z … presentabsent (e.g. CheV)

Calculate a phylogenetic profile for all 600,000 genes in bacteria (~1.2x10^8 BLASTs) Collect the genes most correlated to the phenotype in all bacteria that have the phenotype (~3,000 for motility) Merge homologous genes (based on sequence similarity)

~ 3,000 motility genes Merging homologous (orthologous/paralogous) genes 75 groups of homologs (Generic Genes) ~ 3,000 motility genes

E. coli Gene Y B. subtilis Gene Y B. anthrax Gene Y C. jejeuni Gene Y Generic Gene Y Motility

Can we recover such modules ? Generic Gene V Generic Gene W Generic Gene Y Generic Gene Z Motility

Can we recover such modules ? Generic Gene V Generic Gene W Generic Gene Y Generic Gene Z Module 1 Module 2

Can we recover such modules ? Cluster Generic Gene profiles 1,000 times using Iclust with different random initializations (obtain slightly different clusters) Group together genes which almost always end up in the same cluster Iclust: Slonim et al, 2006

GG-3 flagellar biosynthetic protein flhB GG-4 flagellar biosynthetic protein flhA GG-5 flagellar biosynthetic protein fliP GG-22 flagellar biosynthetic protein fliR GG-56 flagellar biosynthetic protein fliQ GG-6 flagellar hook flgE/F/G GG-7 flagellar motor switch fliG GG-10 flagellar basal-body rod flgC GG-12 flagellar MS-ring fliF GG-13 flagellar hook-associated protein 1 flgK GG-18 flagellar motor switch fliN GG-21 flagellar motor switch fliM GG-27 flagellar hook-associated protein 3 flgL GG-29 flagellar hook-associated protein 2 fliD GG-8 flagellin fliC GG-17 motility protein A motA GG-74 flagellar protein fliS GG-20 motility protein B motB GG-1 methyl-accepting chemotaxis protein GG-11 chemotaxis protein cheA GG-45 methyl-accepting chemotaxis protein GG-73 methyl-accepting chemotaxis protein GG-38 chemotaxis protein cheV GG-15 chemotaxis protein cheW GG-2 chemotaxis methyltransferase cheR GG-30 glutamate methylesterase cheB GG-32 flagellar L-ring protein precursor flgH GG-36 flagellar P-ring protein precursor flgI GG-9 RNA-polymerase sigma-54 factor GG-14 transcription factor, sigma-54-dependent Motility GG index These results are based on no prior knowledge, apart from genome sequences along with their phenotypic annotations

Phylogenetic profiles / modules for motility

Motility fliI, cheY … fliO, cheZ E. coli chemotaxis and flagellum modules Some E. coli genes are not recovered. Why ?

GG-9 PAL peptidoglycan-associated lipoprotein GG-10 tolQ/exbB protein GG-12 tolB protein GG-72 lipid A biosynthesis lauroyl acyltransferase GG-2 3-deoxy-manno-octulosonate cytidylyltransferase GG-3 UDP-3-O glucosamine N-acyltransferase GG-4 lipid-A-disaccharide synthase GG-5 polysialic acid capsule expression protein GG-7 UDP-3-O N-acetylglucosamine deacetylase GG-8 3-deoxy-D-manno-octulosonic-acid transferase GG-11 tetraacyldisaccharide 4'-kinase GG-1 outer membrane protein yaeT GG-68 glutaredoxin 3 GG-29 2-octaprenyl-6-methoxyphenol hydroxylase GG-31 glutathione synthetase GG-18 glutaredoxin-related protein GG-73 coproporphyrinogen III oxidase, aerobic GG-107 hydroxyacylglutathione hydrolase GG-20 HlyD family secretion protein GG-96 HlyD family secretion protein GG-53 HlyD family secretion protein GG-111 membrane fusion protein (MFP) GG-15 pyridoxal phosphate biosynthetic protein GG-52 pyridoxal phosphate biosynthetic protein GG-35 ABC transporter, permease Phylogenetic profiles / modules for Gram-staining

GG-8 sporulation-blocking protein yabP GG-130 sporulation sigma-E factor processing peptidase GG-58 stage III sporulation protein AC GG-6 stage III sporulation protein AD GG-3 stage III sporulation protein D GG-63 spore-cortex-lytic enzyme GG-87 spore germination protein GG-104 spore protease GG-136 spore protease related GG-71 stage III sporulation protein AB GG-103 stage III sporulation protein AE GG-132 stage III sporulation protein AG GG-95 stage II sporulation protein E GG-137 stage II sporulation protein M GG-11 stage II sporulation protein P GG-134 stage II sporulation protein R GG-135 stage IV sporulation protein GG-76 stage IV sporulation protein A GG-46 stage IV sporulation protein B GG-40 stage V sporulation protein AC GG-34 stage V sporulation protein AD GG-15 stage V sporulation protein AF GG-37 translocation-enhancing protein GG-94 hypothetical membrane protein GG-127 hypothetical membrane protein GG-49 small acid-soluble spore protein I sspI GG-69 spoVID-dependent spore coat assembly factor GG-101 spore coat protein GG-52 spore coat protein E GG-99 spore coat related, putative GG-97 spore cortex biosynthesis, putative GG-84 spore germination protein GG-90 spore germination protein GG-55 spore germination protein C1 GG-62 sporulation initiation phosphotransferase GG-113 stage III sporulation protein AF GG-64 stage IV sporulation protein FA GG-91 stage VI sporulation protein D GG-54 abi, CAAX amino terminal protease GG-42 cytochrome C-550/C-551 GG-53 cytochrome C oxidase subunit IV GG-36 menaquinol-cytochrome C reductase qcrC GG-50 lipoprotein, putative GG-18 prespore-specific transcriptional regulator GG-66 putative lipoprotein GG-56 putative ribonuclease H GG-26 reductase ribT / acetyltransferase gnaT GG-124 hypothetical membrane proetin GG-118 hypothetical membrane protein GG-29 hypothetical cytosolic protein GG-38 hypothetical cytosolic protein GG-120 hypothetical cytosolic protein GG-24 hypothetical protein GG-27 hypothetical protein GG-28 hypothetical protein GG-30 hypothetical protein GG-31 hypothetical protein GG-32 hypothetical protein GG-33 hypothetical protein GG-41 hypothetical protein GG-43 hypothetical protein GG-47 hypothetical protein GG-60 hypothetical protein GG-61 hypothetical protein GG-65 hypothetical protein GG-67 hypothetical protein GG-68 hypothetical protein GG-70 hypothetical protein GG-72 hypothetical protein GG-73 hypothetical protein GG-83 hypothetical protein GG-88 hypothetical protein, HD domain GG-100 hypothetical protein (ecsc) GG-114 hypothetical protein GG-116 hypothetical protein GG-117 hypothetical protein Focused hypotheses for experimental validation

Community sequencing

Conclusion Systematic association of genotype / phenotype for several phenotypes Clustering reveals robust modules that corresponds to protein complexes, signal transduction pathways, enzymatic pathways Many predictions that can be verified experimentally

Acknowledgements Saeed Tavazoie Noam Slonim Tavazoie lab members