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Some like it cold

What can microbial genomes tell us about life's extremes?




                           Neil Saunders
                           School of Molecular and Microbial Sciences, UQ
We live on a cold planet




80% of the biosphere is permanently < 5 °C
Microbial diversity in cold environments


                                              Estimates 1.3 x 1028 archaeal cells, 3.1 x 1028
                                          ●


                                              bacterial cells in the oceans
                                              Other cold environments: polar and alpine
                                          ●

                                              regions, permafrost, subsurface
                                              Non-terrestrial environments?
                                          ●



                                              Ecological significance: carbon cycle,
                                          ●

                                              methane
                                              Biotechnological potential: enzymes
                                          ●


Karl et al. (2001). Nature 409: 507-510
Archaea and extremophiles


                      Archaea are the third domain
                  ●

                      of life, distinct from Bacteria
                      and Eukarya

                      Many (but not all) Archaea
                  ●

                      are extremophiles



                  Temperature extremes

                  psychrophile             < 20 °C
                  mesophile                20 - 45 °C
                  thermophile              > 45 °C
                  hyperthermophile         > 80 °C
Archaeal isolates from Antarctica


                                           Moderately saline
                                       ●




                                           Perennially 1-2 °C
                                       ●



                                           Methane-saturated
                                       ●




Ace Lake, Vestfold Hills, Antarctica



Isolates                                   Topt           Tmin
● Methanogenium frigidum                   15 °C          < 0 °C
● Methanococcoides burtonii                23 °C          < 0 °C
● Halorubrum lacusprofundi
Shotgun sequencing of archaeal genomes


                  Sequencing centres
                    Joint Genome Institute
                  ●

                  ● Molecular Dynamics/Genome Applications

                  ● AGRF




                  Statistics
                  M. frigidum     ~ 2x coverage, 10 000 reads
                  M. burtonii     ~ 12x coverage, 50 000 reads
Computational infrastructure for genomics




  "So what new skills will postdocs need to ensure that
  they don't become science relics? The answer is math,
  statistics, and knowledge of a scripting language for
  computers."

  -The Scientist, "Bioinformatics Knowledge Vital to Careers"
  Volume 16 | Issue 17 | 53 | Sep. 2, 2002
  www.the-scientist.com
Computational infrastructure for genomics
                                                                     Hardware
   Biological                                 Analysis           ● Workstation?
    objects                                  (limitless)         ● Cluster?


    Genome                                Sequence analysis

   Assembly                               Regulatory motifs
                        Computational
                          objects
Gene sequence                            Structural modeling

Protein sequence                              Phylogeny

Protein structure                       Comparative genomics

    Pathway                             Pathway reconstruction


                                                                      Software
                                                                 ● Linux

                                                                 ● Databases
Key points
                                                                 ● Web servers
● Linux!

                                                                 ● Toolkits/libraries
● Perl/BioPerl

                                                                 ● Scripts/compiled
● Free, open-source

                                                                 ● Open source
● Many tools + “glue”

● Never-ending...
“Global” genomic features of cold-adapted
             prokaryotes

    Is there anything “obviously different” about genes and
            proteins from psychrophilic prokaryotes?



    Amino acid composition and protein structure
●




    Novel gene products
●




    Structural RNA features
●
Amino acid composition of the proteome


     Archaea                                Bacteria
   27 organisms                           52 organisms
   62 338 ORFs                            165 192 ORFs

                  Amino acid frequency
                        (bioperl)


                        data matrix
                    organisms (rows) x
                  composition (columns)


                           PCA
                  principal components
                    (R stats package)
Statistical analysis of amino acid composition




Archaea                  Amino acid composition v. PC2

27 organisms             Asp             0.66
                         His             0.53
PC1 v. GC      -0.95     Leu            -0.91
PC2 v. OGT     -0.94     Gln             0.61
                         Ser             0.57
                         Thr             0.72
                         Trp            -0.68
Statistical analysis of amino acid composition




Bacteria                 Amino acid composition v. PC2

52 organisms             Asp             0.71
                         Glu            -0.74
PC1 v. GC       0.96     His             0.56
PC2 v. OGT     -0.81     Leu            -0.41
                         Met             0.55
                         Gln             0.55
                         Ser             0.67
                         Thr             0.74
Protein structure homology modeling
   Archaea                                      Bacteria
                       BLAST v. PDB
 27 organisms                                 52 organisms
                      select templates
 62 338 ORFs                                  165 192 ORFs

                        PROSPECT
                       modeller script



                        MODELLER
5 513 raw models                            20 785 raw models


                         ProCheck
 3 383 models                                 13 966 models
                       g-factor > -0.5



                           DSSP
 3 207 models                                 13 035 models


    For the set of models from each organism, calculate
     fraction of each residue that is solvent-accessible
                     Analyse using LDA
Analysis of homology models




Archaea                  Bacteria

LD1 v. OGT   0.89        LD1 v. OGT   0.84

Ala          -0.78       Ala          -0.41
Asp          -0.63       Asp          -0.73
Ser          -0.62       His          -0.41
Thr          -0.85       Ser          -0.38
                         Thr          -0.46
                         Trp           0.40
                         Tyr           0.39
Proteins: summary
    Psychrophiles, mesophiles and thermophiles can be distinguished by
●

    the amino acid composition of the proteome

Composition
In the direction thermophile psychrophile we see:
  ● increase in non-charged polar (Gln, Ser, Thr), His and Asp

  ● decrease in hydrophobic (Leu, Trp) and Glu




Accessible surface
● The 3 thermal classes of organism can also be distinguished by the

  degree to which certain residues are solvent-accessible
● In general, Asp, Ala, Ser and Thr are more exposed in proteins from

  psychrophiles versus thermophiles

Biological rationales
● Thermal denaturation: Gln (deamidation), Thr (peptide cleavage)

● Thermostability: Glu (surface salt bridges), hydrophobic core

● Low temperature function:   increased global/local flexibility?
                              surface destabilisation (hydrophobic) ?
                              avoid aggregation (polar non-charged) ?
Analysis of structural RNA
Is tRNA GC content related to OGT?
                                                            stems

       Use tRNAScan to find tRNA in
   ●

       archaeal genomes




                                          % GC
       Calculate mean GC content for
   ●

       each organism

                                                            all bases




                                                 OGT (°C)
GC content becomes significant only
above ~ 60 °C

Flexibility and nucleoside modification
M. burtonii tRNA contains > 1
dihydrouridine/molecule
(Noon et al. 2003, J. Bact. 185: 5483)
Cold shock protein in M. frigidum




    First CSP identified in a psychrophilic
●

    archaeon

    Contains all conserved residues for RNA
●

    binding

    Is being functionally and structurally
●

    characterised
CSD-like proteins in M. burtonii
    No CSP homologue identified in M. burtonii
●




    csp mutants of E. coli can be complemented by proteins with a CSD-fold
●




    Does M. burtonii express novel CSD-like proteins?
●




        Protein sequences




           PROSPECT
       thread v. CSD folds



           MODELLER
                                                 d1sro__     M. burtonii YP_564958
         structural model
Proteomic studies of M. burtonii

    What's expressed at 4 °C ?
●




    What's different at 4 °C versus 23 °C ?
●




    Protein identification is easy with
●

    a genome sequence!




        Work performed by Amber Goodchild at the BMSF, UNSW
    ●




        2D-PAGE and LC MS/MS both employed
    ●
What's different between 4 °C and 23 °C?

                                                        237 spots analysed
                                                    ●

                                                        21 spots more intense at 4 °C
                                                    ●

                                                        33 spots more intense at 23 °C
                                                    ●

                                                        19/21 and 24/33 identified
                                                    ●




                                                    Upregulated 4 °C
                                                    ● RNAP subunit E

                                                    ● Methanogenesis

                                                    ● Acetate -> amino acid biosynthesis

                                                    ● CheY-like response regulator

                                                    ● Peptidyl prolyl cis/trans isomerase




                                                    Upregulated 23 °C
                                                    ● DnaK/HSP70




Goodchild et al. (2004b). Mol. Microbiol. 53: 309
Protein modifications and new amino acids
                   Several spot patterns indicate PTM
               ●

                   Trimethylamine methyltransferase
               ●

                   (TMA-MT) maps to 2 ORFs
                   This results from read-through of an
               ●

                   in-frame amber UAG codon




                   The amino acid incorporated at the UAG
           ●


                   is pyrrolysine - the 22nd genetically-encoded
                   amino acid.

           Hao et al. (2002). Science 296: 1459.
What's expressed at 4 °C? LC MS/MS
                                                                                                528 proteins identified
                                                                                            ●


                                                                                                ~ 23% of the proteome
                                                                                            ●

                          DNA replication/processing     Energy

                                                                                                Proteins annotated and classified
                                                         production/conversion
                                                                                            ●
                          Transposases
                                                         Carbon fixation/carbohydrate
                          Cell division/chromosome
                                                         metabolism
                          partitioning

                                                                                                by (1) biological process, (2)
                                                         Nucleotide metabolism
                          Defense mechanisms
                                                         Amino acid metabolism
                          RNA synthesis/processing

                                                                                                genome organisation
                                                         Coenzyme metabolism
                          Signal transduction
                                                         Unassigned
                          Motility
                          Protein synthesis/processing

Goodchild et al. (2004a). J. Prot. Res. 3: 1164
                          Protein

                                                                                                135 hypothetical/conserved
                          PTM/degradation/folding                                           ●
                          Cell envelope


                                                                                                hypothetical proteins analysed
                          Transport
                          Methanogenesis



                                                                                                separately

Goodchild et al. (2004a). J. Prot. Res. 3: 1164
                                                                                        Some key processes
  Putative exosome/proteasome components
                                                                                                Expression of 2 transposases
                                                                                        ●


                                                                                                Protein folding (chaperones,
                                                                                        ●

                                                                                                chaperonins, isomerases)
                                                                                                RNA and protein processing
                                                                                        ●


                                                                                                (exosome/proteasome superoperon)
                                                                                                Our predicted CSD-like proteins are
                                                                                        ●
Koonin et al. (2001). Genome Res. 11: 240
                                                                                                part of the putative exosome
Conclusions: the biology
    Cold physiology is a complex process; no “gene for cold adaptation”
●




    Features of psychrophilic archaea include:
●




            Higher proportion of polar non-charged amino acids
        ➢

            More hydrophobic, less charged solvent-accessible surface
        ➢

            Modified structural RNAs for increased flexibility
        ➢

            Membrane lipid unsaturation
        ➢

            Complex transcriptional and translational regulatory networks
        ➢

            Metabolic regulation: energy production v. biosynthesis
        ➢

            Mechanisms to promote proper protein folding
        ➢

            Coupled regulation of RNA/protein synthesis and turnover
        ➢
Conclusions: the computers

         Biological system                  Biological objects




                                          Computational objects




       Biological inferences                    Analyses




Generic approach to biological problems
Future directions

    M. burtonii                                Genome closed, released April 2006
●



    M. frigidum                                High coverage draft planned (JCVI)
●



    H. lacusprofundi                           Scheduled for sequencing (JGI)
●




Other UNSW projects
    Sphingopyxis alaskensis                    Genome closed, due for release
●



    Marine and environmental microbiology
●



            Pseudoalteromonas tunicata                JCVI
        


            Vibrio angustum                           JCVI
        


            Roseobacter gallaeciensis                 JCVI
        


            LAS-degrading consortium (3 organisms)    JGI
        
Acknowledgements

UNSW BABS                        UNSW BMSF       UNSW Physics
Rick Cavicchioli                 Mark Raftery    Paul Curmi
Sohail Siddiqui                  Mike Guilhaus
Torsten Thomas
Amber Goodchild
Laura Giaquinto
Dominic Burg
Lily Ting
Davide de Francisci
Charmaine Ng
Marilyn Katrib


Sequencing Centres                               CSIRO
Joint Genome Institute, CA, USA                  Peter Franzmann
Genomics Applications, CA, USA
Venter Institute/Moore Foundation, MD, USA
AGRF, Brisbane
Methanogenesis
                    +
           (CH3)3NH                                                                   Na+


            MttP
                                                                                     Mtr
                                                                         CoM-SH                     H4-MPT

           (CH3)3NH+
                                    MttC
                             MttB                                                                   H4-MPT-CH3
                                                                                                                  F420
                                                  CH3
                        +
                                                                CoM-SH
           (CH3)2HNH                                                                                    Mer
                                                                                                                  F420H2
                             MtbB              MtbA
                                    MtbC
                                                                                                    H4-MPT=CH2
                                                                CoM-S-CH3                                         F420
           CH3H2NH+
                                                                                                        Mtd
                                    MtmC
                            MtmB                                         CoB-SH
                                                                                                                  F420H2
                                                              Mcr
                NH4+
                                                                                                    H4-MPT≡CH
                                                                         CH4
                                                                                                                  MF
                                                                                                       Fol/Ftr
                                                              CoM-S-S-CoB                                         H4-MPT

                                                                                                    CHO-MF
                                                                                                                           Fwd
                                                                                                                                 Na+

                                                              CoM-SH + CoB-SH                             CO2 + 2H+ + MF
                   ATP
ADP + Pi
                                                                                      F420
                                      F420H2

     A1AO                                                                                  F420H2
                                                                    MP
                                      F420
                            Frh                                             Fpo
                                                      Hdr

                                                                    MPH2
           H+
                            2H+      H2
                                                        2H+                    2H+

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Genomics of cold-adapted microorganisms

  • 1. Some like it cold What can microbial genomes tell us about life's extremes? Neil Saunders School of Molecular and Microbial Sciences, UQ
  • 2. We live on a cold planet 80% of the biosphere is permanently < 5 °C
  • 3. Microbial diversity in cold environments Estimates 1.3 x 1028 archaeal cells, 3.1 x 1028 ● bacterial cells in the oceans Other cold environments: polar and alpine ● regions, permafrost, subsurface Non-terrestrial environments? ● Ecological significance: carbon cycle, ● methane Biotechnological potential: enzymes ● Karl et al. (2001). Nature 409: 507-510
  • 4. Archaea and extremophiles Archaea are the third domain ● of life, distinct from Bacteria and Eukarya Many (but not all) Archaea ● are extremophiles Temperature extremes psychrophile < 20 °C mesophile 20 - 45 °C thermophile > 45 °C hyperthermophile > 80 °C
  • 5. Archaeal isolates from Antarctica Moderately saline ● Perennially 1-2 °C ● Methane-saturated ● Ace Lake, Vestfold Hills, Antarctica Isolates Topt Tmin ● Methanogenium frigidum 15 °C < 0 °C ● Methanococcoides burtonii 23 °C < 0 °C ● Halorubrum lacusprofundi
  • 6. Shotgun sequencing of archaeal genomes Sequencing centres Joint Genome Institute ● ● Molecular Dynamics/Genome Applications ● AGRF Statistics M. frigidum ~ 2x coverage, 10 000 reads M. burtonii ~ 12x coverage, 50 000 reads
  • 7. Computational infrastructure for genomics "So what new skills will postdocs need to ensure that they don't become science relics? The answer is math, statistics, and knowledge of a scripting language for computers." -The Scientist, "Bioinformatics Knowledge Vital to Careers" Volume 16 | Issue 17 | 53 | Sep. 2, 2002 www.the-scientist.com
  • 8. Computational infrastructure for genomics Hardware Biological Analysis ● Workstation? objects (limitless) ● Cluster? Genome Sequence analysis Assembly Regulatory motifs Computational objects Gene sequence Structural modeling Protein sequence Phylogeny Protein structure Comparative genomics Pathway Pathway reconstruction Software ● Linux ● Databases Key points ● Web servers ● Linux! ● Toolkits/libraries ● Perl/BioPerl ● Scripts/compiled ● Free, open-source ● Open source ● Many tools + “glue” ● Never-ending...
  • 9. “Global” genomic features of cold-adapted prokaryotes Is there anything “obviously different” about genes and proteins from psychrophilic prokaryotes? Amino acid composition and protein structure ● Novel gene products ● Structural RNA features ●
  • 10. Amino acid composition of the proteome Archaea Bacteria 27 organisms 52 organisms 62 338 ORFs 165 192 ORFs Amino acid frequency (bioperl) data matrix organisms (rows) x composition (columns) PCA principal components (R stats package)
  • 11. Statistical analysis of amino acid composition Archaea Amino acid composition v. PC2 27 organisms Asp 0.66 His 0.53 PC1 v. GC -0.95 Leu -0.91 PC2 v. OGT -0.94 Gln 0.61 Ser 0.57 Thr 0.72 Trp -0.68
  • 12. Statistical analysis of amino acid composition Bacteria Amino acid composition v. PC2 52 organisms Asp 0.71 Glu -0.74 PC1 v. GC 0.96 His 0.56 PC2 v. OGT -0.81 Leu -0.41 Met 0.55 Gln 0.55 Ser 0.67 Thr 0.74
  • 13. Protein structure homology modeling Archaea Bacteria BLAST v. PDB 27 organisms 52 organisms select templates 62 338 ORFs 165 192 ORFs PROSPECT modeller script MODELLER 5 513 raw models 20 785 raw models ProCheck 3 383 models 13 966 models g-factor > -0.5 DSSP 3 207 models 13 035 models For the set of models from each organism, calculate fraction of each residue that is solvent-accessible Analyse using LDA
  • 14. Analysis of homology models Archaea Bacteria LD1 v. OGT 0.89 LD1 v. OGT 0.84 Ala -0.78 Ala -0.41 Asp -0.63 Asp -0.73 Ser -0.62 His -0.41 Thr -0.85 Ser -0.38 Thr -0.46 Trp 0.40 Tyr 0.39
  • 15. Proteins: summary Psychrophiles, mesophiles and thermophiles can be distinguished by ● the amino acid composition of the proteome Composition In the direction thermophile psychrophile we see: ● increase in non-charged polar (Gln, Ser, Thr), His and Asp ● decrease in hydrophobic (Leu, Trp) and Glu Accessible surface ● The 3 thermal classes of organism can also be distinguished by the degree to which certain residues are solvent-accessible ● In general, Asp, Ala, Ser and Thr are more exposed in proteins from psychrophiles versus thermophiles Biological rationales ● Thermal denaturation: Gln (deamidation), Thr (peptide cleavage) ● Thermostability: Glu (surface salt bridges), hydrophobic core ● Low temperature function: increased global/local flexibility? surface destabilisation (hydrophobic) ? avoid aggregation (polar non-charged) ?
  • 16. Analysis of structural RNA Is tRNA GC content related to OGT? stems Use tRNAScan to find tRNA in ● archaeal genomes % GC Calculate mean GC content for ● each organism all bases OGT (°C) GC content becomes significant only above ~ 60 °C Flexibility and nucleoside modification M. burtonii tRNA contains > 1 dihydrouridine/molecule (Noon et al. 2003, J. Bact. 185: 5483)
  • 17. Cold shock protein in M. frigidum First CSP identified in a psychrophilic ● archaeon Contains all conserved residues for RNA ● binding Is being functionally and structurally ● characterised
  • 18. CSD-like proteins in M. burtonii No CSP homologue identified in M. burtonii ● csp mutants of E. coli can be complemented by proteins with a CSD-fold ● Does M. burtonii express novel CSD-like proteins? ● Protein sequences PROSPECT thread v. CSD folds MODELLER d1sro__ M. burtonii YP_564958 structural model
  • 19. Proteomic studies of M. burtonii What's expressed at 4 °C ? ● What's different at 4 °C versus 23 °C ? ● Protein identification is easy with ● a genome sequence! Work performed by Amber Goodchild at the BMSF, UNSW ● 2D-PAGE and LC MS/MS both employed ●
  • 20. What's different between 4 °C and 23 °C? 237 spots analysed ● 21 spots more intense at 4 °C ● 33 spots more intense at 23 °C ● 19/21 and 24/33 identified ● Upregulated 4 °C ● RNAP subunit E ● Methanogenesis ● Acetate -> amino acid biosynthesis ● CheY-like response regulator ● Peptidyl prolyl cis/trans isomerase Upregulated 23 °C ● DnaK/HSP70 Goodchild et al. (2004b). Mol. Microbiol. 53: 309
  • 21. Protein modifications and new amino acids Several spot patterns indicate PTM ● Trimethylamine methyltransferase ● (TMA-MT) maps to 2 ORFs This results from read-through of an ● in-frame amber UAG codon The amino acid incorporated at the UAG ● is pyrrolysine - the 22nd genetically-encoded amino acid. Hao et al. (2002). Science 296: 1459.
  • 22. What's expressed at 4 °C? LC MS/MS 528 proteins identified ● ~ 23% of the proteome ● DNA replication/processing Energy Proteins annotated and classified production/conversion ● Transposases Carbon fixation/carbohydrate Cell division/chromosome metabolism partitioning by (1) biological process, (2) Nucleotide metabolism Defense mechanisms Amino acid metabolism RNA synthesis/processing genome organisation Coenzyme metabolism Signal transduction Unassigned Motility Protein synthesis/processing Goodchild et al. (2004a). J. Prot. Res. 3: 1164 Protein 135 hypothetical/conserved PTM/degradation/folding ● Cell envelope hypothetical proteins analysed Transport Methanogenesis separately Goodchild et al. (2004a). J. Prot. Res. 3: 1164 Some key processes Putative exosome/proteasome components Expression of 2 transposases ● Protein folding (chaperones, ● chaperonins, isomerases) RNA and protein processing ● (exosome/proteasome superoperon) Our predicted CSD-like proteins are ● Koonin et al. (2001). Genome Res. 11: 240 part of the putative exosome
  • 23. Conclusions: the biology Cold physiology is a complex process; no “gene for cold adaptation” ● Features of psychrophilic archaea include: ● Higher proportion of polar non-charged amino acids ➢ More hydrophobic, less charged solvent-accessible surface ➢ Modified structural RNAs for increased flexibility ➢ Membrane lipid unsaturation ➢ Complex transcriptional and translational regulatory networks ➢ Metabolic regulation: energy production v. biosynthesis ➢ Mechanisms to promote proper protein folding ➢ Coupled regulation of RNA/protein synthesis and turnover ➢
  • 24. Conclusions: the computers Biological system Biological objects Computational objects Biological inferences Analyses Generic approach to biological problems
  • 25. Future directions M. burtonii Genome closed, released April 2006 ● M. frigidum High coverage draft planned (JCVI) ● H. lacusprofundi Scheduled for sequencing (JGI) ● Other UNSW projects Sphingopyxis alaskensis Genome closed, due for release ● Marine and environmental microbiology ● Pseudoalteromonas tunicata JCVI  Vibrio angustum JCVI  Roseobacter gallaeciensis JCVI  LAS-degrading consortium (3 organisms) JGI 
  • 26. Acknowledgements UNSW BABS UNSW BMSF UNSW Physics Rick Cavicchioli Mark Raftery Paul Curmi Sohail Siddiqui Mike Guilhaus Torsten Thomas Amber Goodchild Laura Giaquinto Dominic Burg Lily Ting Davide de Francisci Charmaine Ng Marilyn Katrib Sequencing Centres CSIRO Joint Genome Institute, CA, USA Peter Franzmann Genomics Applications, CA, USA Venter Institute/Moore Foundation, MD, USA AGRF, Brisbane
  • 27. Methanogenesis + (CH3)3NH Na+ MttP Mtr CoM-SH H4-MPT (CH3)3NH+ MttC MttB H4-MPT-CH3 F420 CH3 + CoM-SH (CH3)2HNH Mer F420H2 MtbB MtbA MtbC H4-MPT=CH2 CoM-S-CH3 F420 CH3H2NH+ Mtd MtmC MtmB CoB-SH F420H2 Mcr NH4+ H4-MPT≡CH CH4 MF Fol/Ftr CoM-S-S-CoB H4-MPT CHO-MF Fwd Na+ CoM-SH + CoB-SH CO2 + 2H+ + MF ATP ADP + Pi F420 F420H2 A1AO F420H2 MP F420 Frh Fpo Hdr MPH2 H+ 2H+ H2 2H+ 2H+