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Evolution of the RecA Protein:
from Systematics to Structure

          Jonathan A. Eisen

   Department of Biological Sciences

          Stanford Univeristy
E. coli RecA
 General Information
   -   352 amino-acids.
   -   High resolution crystal structure available.
   -   100s of mutants characterized and sequenced.

 Genetic Roles
   -   Homologous recombination.
   -   Recombinational repair of DNA damage.
   -   Induction of the SOS response.
   -   DNA damage induced mutagenesis.

 Biochemical Activities
   -   DNA binding (single- and double-stranded).
   -   Pairing and exchange of homologous DNA.
   -   ATP hydrolysis.
   -   Coproteolytic cleavage of LexA, UmuD, and cI.
RecA Homologs and Analogs
 Bacterial RecA Homologs
   -   Proteobacteria ( and subgroups).
   -   Gram-positives (low-GC and high-GC).
   -   Cyanobacteria and Chloroplasts.
   -   Spirochaetes, Chlamydia and Bacteroides.
   -   Deinococcus-Thermus Group.
   -   Thermotogales and thermophilic oxygen
       reducers.

 Eukaryotic RecA-like Proteins
   -   RAD51, RAD57, DMC1.
   -   Functional and 3D structural similarity to RecA.
   -   Sequence similarity to RecA is low.

 Archaeal RecA-like Proteins
   -   RadA from S. solfataricus.
   -   Sequence similarity to RecA is low.
The Use of SS-rRNA
   for Bacterial Systematics
 Advantages
   -   Conserved sequence and structure in all
       organisms.
   -   Relatively easy to clone and sequence.
   -   Variable substitution rates within molecule.
   -   Lateral transfers unlikely.
   -   Can be used for in-situ hybridizations.
   -   1000s of sequences available.

 Potential Problems
   -   Nucleotide frequency bias between species.
   -   Non-independence of substitution patterns.
   -   Variable substitution rates between species.
   -   Alignments can be highly ambiguous.
   -   Duplications, concerted evolution, and
       paralogy.
Other Molecules for Molecular
Systematic Studies of Bacteria
   EF-Tu                      (e.g., Delwiche et al. 1995)
   ATPase-                  (e.g., Ludwig et al. 1994)
   GroEL                      (e.g., Viale et al. 1994)
   HSP70                      (e.g., Gupta et al. 1994)
   RNA pol B                  (e.g., Klenk & Zillig 1994)
   23S rRNA(e.g., Ludwig et al. 1992)
   70                        (e.g., Lonetto et al. 1992)
   GS                         (e.g., Brown et al. 1994)
   RecA                       (e.g., Lloyd & Sharp 1993)
RecA Evolution
 Lloyd & Sharp (1993)
   -   Trees of 25 recA genes.
   -   For Proteobacteria, branching patterns similar to
       those for SS-rRNA.
   -   Low resolution for deep branches in RecA tree.
   -   recA genes not as highly GC biased as SS-rRNA
       genes.
   -   Only 6 genes from species outside the
       Proteobacteria.

 1995
   -   65 complete recA sequences available.
   -   25 genes from outside the Proteobacteria.
   -   3D crystal structure available.
The Use of RecA for Systematics
 Advantages
   -   Relatively easy to clone for a protein.
   -   Conserved function among bacteria.
   -   Sequence conservation varies across
       molecule.
   -   Alignments are unambiguous.
   -   3D structure available.
   -   Sequence can be used to create rec- mutants.
   -   RecA is cool (not shown).

 Disadvantages
   -   Relatively small (352 aa).
   -   Similarity to eukaryotic & Archaeal proteins is
       low.
   -   "Only" 65 sequences available.
   -   Multiple divergent genes in at least one
       species.
Methods
   Choose a SS-rRNA to represent each complete RecA.
   Generate RecA trees ( FM, NJ, DeSoete, PHYLIP protpars,
    PAUP).
   Generate SS-rRNA trees ( FM, NJ, DeSoete, PHYLIP
    dnapars).
   Compare RecA and SS-rRNA trees of same technique.
   Compare all RecA trees to each other (consensus tree).
   Compare all SS-rRNA trees to each other (consensus
    tree).
   Compare consensus trees and bootstrap values.
   Compare to trees of other molecules and to trees of all
    SS-rRNAs.
Methods
 Choose a SS-rRNA for each complete
  RecA.
 Generate RecA trees.
   -   FM, NJ, DeSoete, PHYLIP protpars, PAUP,
       consensus.
   -   100 Bootstraps (FM, NJ, protpars).

 Generate SS-rRNA trees.
   -   FM, NJ, DeSoete, PHYLIP dnapars, consensus.
   -   100 Bootstraps (FM, NJ, dnapars).

 Compare SS-rRNA and RecA trees.
   -   Consensus groups.
   -   Bootstrap values.
   -   Trees of same technique.

 Compare to trees of other molecules and to
"Replacement" Sequences
RecA Sequence rRNA Replacement
Acetobacter polyoxogenes    A. pasteurianus
Azotobacter vinelandii      Flavobacterium lutescens
Methylomonas clara          M. methylovora
Myxococcus xanthus 2        Cystobacter fuscus
Proteus mirabilis           Arsenophonus nasoniae
Pseudomonas fluorescens     P. flavescens
Thiobacillus ferrooxidans   T. caldus
Streptococcus pneumoniae    S. salivarius
Streptomyces violaceus      S. coelicolor
Arabidopsis thaliana        Nicotiana tabacum CPST
Anabaena variabilis         A. sp. PCC7120
Synechococcus sp. PCC7942   Phormidium minutum
Synechococcus sp. PCC7002   S. sp. PCC6301
RecA vs. SS-rRNA Trees
   Overall topology highly similar.
   Similar robustness and resolution.
    - Nearly identical consensus clades.
    - Similar branching among and within clades.
    - Similar LOW resolution for poorly
        representedgroups.
    - RecA resolves some relationships:
        •Deinococcus- Thermus group.
        • Monophyly of Proteobacteria.
    - SS-rRNA resolves others:
        • Monophyly of low-GC gram-positives.
        • L. pneumophilia in gammas.

   Consistent differences:
    -   Acidiphilium facilis.
    -   Cyanobacteria with high-GC gram-positives for
        RecAs.
    -   Thermotoga maritima.
Consensus Phylogenetic Groups
RecA Clade ComparableBoots% RecABoots ssRNA
SS-RNA cladePPNJFMDPNJFM
Proteobacteria - g1 Yes             78    91 100    100   100   100
Proteobacteria - g2 Yes             100   100 100   100   100   100
Proteobacteria - g   Yes (+ Lp)     33    63 75     48    85    92
Proteobacteria - b1 Yes (+ Ng)      74    84 88     100   100   100
Proteobacteria - b2 No              100   100 100   0     0     0
Proteobacteria - bg Yes (- Af)      53    86 95     90    94    95
Proteobacteria - a   Yes (+Af)      14    68 72     100   100   100
Proteobacteria - abg Yes            10    57 58     93    96    96
Proteobacteria - d   Yes            43    71 42      *    *     *
Proteobacteria - e   Yes            100   100 100   100   100   100
Proteobacteria            No              14 38     49    0     0
       36
Gram "+" High GC Yes                97    100 100   100   100   100
Gram "+" Low GC      Yes (+ Mycs)   27    59 63     50    56    80
Mycoplasmas          Yes (+ Al)     88    100 98    71    88    84
Cyanobacteria        Yes            100   96 91     100   100   100
Deinococcus-Thermus       No              95 96     95    0     0
Features of RecA Evolution
   Few insertions/deletions over time.
   Large variation in rates between sites.
   Protein introns found in Mycobacteria.
   Conserved indels within cyanobacteria.
   Myxococcus xanthus has two highly diverged recA
    genes.
   Gram-positives not monophyletic.
   Cyanobacteria group with high-GC gram-positives.
   Arabidopsis thaliana nuclear encoded gene probably
    transfered from chloroplast.
   Patterns of amino-acid substitutions help identify
    structural constraints not identified by "normal"
    sequence comparisons.
Conclusions
   Inferred trees of RecAs and SS-rRNAs
    from the same species are highly
    congruent.
   RecA and SS-rRNA trees have similar
    degrees of resolution.
   RecA comparisons are useful for studies
    of molecular systematics of bacteria.
   Studies of aa substitutions help
    understand structure-function
    relationships of RecA.
   Studying RecA is cool (not shown).
Acknowledgements
                      Philip Hanawalt
                       Alberto Roca
                       Marc Feldman
                        Mitch Sogin
                       Michael Eisen
                        Dan Distel
                        Jeff Palmer

W. Finch, W. Huang, S. Mongkolsuk, J. Coleman, & A. Clark
             for unpublished recA sequences.

Steve Smith and Joe Felsenstein for free computer programs.

               National Science Foundation

                National Institutes of Health

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Evolution of the RecA Protein: from Systematics to Structure 1995 talk for CALPEG

  • 1. Evolution of the RecA Protein: from Systematics to Structure Jonathan A. Eisen Department of Biological Sciences Stanford Univeristy
  • 2. E. coli RecA  General Information - 352 amino-acids. - High resolution crystal structure available. - 100s of mutants characterized and sequenced.  Genetic Roles - Homologous recombination. - Recombinational repair of DNA damage. - Induction of the SOS response. - DNA damage induced mutagenesis.  Biochemical Activities - DNA binding (single- and double-stranded). - Pairing and exchange of homologous DNA. - ATP hydrolysis. - Coproteolytic cleavage of LexA, UmuD, and cI.
  • 3. RecA Homologs and Analogs  Bacterial RecA Homologs - Proteobacteria ( and subgroups). - Gram-positives (low-GC and high-GC). - Cyanobacteria and Chloroplasts. - Spirochaetes, Chlamydia and Bacteroides. - Deinococcus-Thermus Group. - Thermotogales and thermophilic oxygen reducers.  Eukaryotic RecA-like Proteins - RAD51, RAD57, DMC1. - Functional and 3D structural similarity to RecA. - Sequence similarity to RecA is low.  Archaeal RecA-like Proteins - RadA from S. solfataricus. - Sequence similarity to RecA is low.
  • 4. The Use of SS-rRNA for Bacterial Systematics  Advantages - Conserved sequence and structure in all organisms. - Relatively easy to clone and sequence. - Variable substitution rates within molecule. - Lateral transfers unlikely. - Can be used for in-situ hybridizations. - 1000s of sequences available.  Potential Problems - Nucleotide frequency bias between species. - Non-independence of substitution patterns. - Variable substitution rates between species. - Alignments can be highly ambiguous. - Duplications, concerted evolution, and paralogy.
  • 5. Other Molecules for Molecular Systematic Studies of Bacteria  EF-Tu (e.g., Delwiche et al. 1995)  ATPase- (e.g., Ludwig et al. 1994)  GroEL (e.g., Viale et al. 1994)  HSP70 (e.g., Gupta et al. 1994)  RNA pol B (e.g., Klenk & Zillig 1994)  23S rRNA(e.g., Ludwig et al. 1992)  70 (e.g., Lonetto et al. 1992)  GS (e.g., Brown et al. 1994)  RecA (e.g., Lloyd & Sharp 1993)
  • 6. RecA Evolution  Lloyd & Sharp (1993) - Trees of 25 recA genes. - For Proteobacteria, branching patterns similar to those for SS-rRNA. - Low resolution for deep branches in RecA tree. - recA genes not as highly GC biased as SS-rRNA genes. - Only 6 genes from species outside the Proteobacteria.  1995 - 65 complete recA sequences available. - 25 genes from outside the Proteobacteria. - 3D crystal structure available.
  • 7. The Use of RecA for Systematics  Advantages - Relatively easy to clone for a protein. - Conserved function among bacteria. - Sequence conservation varies across molecule. - Alignments are unambiguous. - 3D structure available. - Sequence can be used to create rec- mutants. - RecA is cool (not shown).  Disadvantages - Relatively small (352 aa). - Similarity to eukaryotic & Archaeal proteins is low. - "Only" 65 sequences available. - Multiple divergent genes in at least one species.
  • 8. Methods  Choose a SS-rRNA to represent each complete RecA.  Generate RecA trees ( FM, NJ, DeSoete, PHYLIP protpars, PAUP).  Generate SS-rRNA trees ( FM, NJ, DeSoete, PHYLIP dnapars).  Compare RecA and SS-rRNA trees of same technique.  Compare all RecA trees to each other (consensus tree).  Compare all SS-rRNA trees to each other (consensus tree).  Compare consensus trees and bootstrap values.  Compare to trees of other molecules and to trees of all SS-rRNAs.
  • 9. Methods  Choose a SS-rRNA for each complete RecA.  Generate RecA trees. - FM, NJ, DeSoete, PHYLIP protpars, PAUP, consensus. - 100 Bootstraps (FM, NJ, protpars).  Generate SS-rRNA trees. - FM, NJ, DeSoete, PHYLIP dnapars, consensus. - 100 Bootstraps (FM, NJ, dnapars).  Compare SS-rRNA and RecA trees. - Consensus groups. - Bootstrap values. - Trees of same technique.  Compare to trees of other molecules and to
  • 10. "Replacement" Sequences RecA Sequence rRNA Replacement Acetobacter polyoxogenes A. pasteurianus Azotobacter vinelandii Flavobacterium lutescens Methylomonas clara M. methylovora Myxococcus xanthus 2 Cystobacter fuscus Proteus mirabilis Arsenophonus nasoniae Pseudomonas fluorescens P. flavescens Thiobacillus ferrooxidans T. caldus Streptococcus pneumoniae S. salivarius Streptomyces violaceus S. coelicolor Arabidopsis thaliana Nicotiana tabacum CPST Anabaena variabilis A. sp. PCC7120 Synechococcus sp. PCC7942 Phormidium minutum Synechococcus sp. PCC7002 S. sp. PCC6301
  • 11. RecA vs. SS-rRNA Trees  Overall topology highly similar.  Similar robustness and resolution. - Nearly identical consensus clades. - Similar branching among and within clades. - Similar LOW resolution for poorly representedgroups. - RecA resolves some relationships: •Deinococcus- Thermus group. • Monophyly of Proteobacteria. - SS-rRNA resolves others: • Monophyly of low-GC gram-positives. • L. pneumophilia in gammas.  Consistent differences: - Acidiphilium facilis. - Cyanobacteria with high-GC gram-positives for RecAs. - Thermotoga maritima.
  • 12. Consensus Phylogenetic Groups RecA Clade ComparableBoots% RecABoots ssRNA SS-RNA cladePPNJFMDPNJFM Proteobacteria - g1 Yes 78 91 100 100 100 100 Proteobacteria - g2 Yes 100 100 100 100 100 100 Proteobacteria - g Yes (+ Lp) 33 63 75 48 85 92 Proteobacteria - b1 Yes (+ Ng) 74 84 88 100 100 100 Proteobacteria - b2 No 100 100 100 0 0 0 Proteobacteria - bg Yes (- Af) 53 86 95 90 94 95 Proteobacteria - a Yes (+Af) 14 68 72 100 100 100 Proteobacteria - abg Yes 10 57 58 93 96 96 Proteobacteria - d Yes 43 71 42 * * * Proteobacteria - e Yes 100 100 100 100 100 100 Proteobacteria No 14 38 49 0 0 36 Gram "+" High GC Yes 97 100 100 100 100 100 Gram "+" Low GC Yes (+ Mycs) 27 59 63 50 56 80 Mycoplasmas Yes (+ Al) 88 100 98 71 88 84 Cyanobacteria Yes 100 96 91 100 100 100 Deinococcus-Thermus No 95 96 95 0 0
  • 13. Features of RecA Evolution  Few insertions/deletions over time.  Large variation in rates between sites.  Protein introns found in Mycobacteria.  Conserved indels within cyanobacteria.  Myxococcus xanthus has two highly diverged recA genes.  Gram-positives not monophyletic.  Cyanobacteria group with high-GC gram-positives.  Arabidopsis thaliana nuclear encoded gene probably transfered from chloroplast.  Patterns of amino-acid substitutions help identify structural constraints not identified by "normal" sequence comparisons.
  • 14. Conclusions  Inferred trees of RecAs and SS-rRNAs from the same species are highly congruent.  RecA and SS-rRNA trees have similar degrees of resolution.  RecA comparisons are useful for studies of molecular systematics of bacteria.  Studies of aa substitutions help understand structure-function relationships of RecA.  Studying RecA is cool (not shown).
  • 15. Acknowledgements Philip Hanawalt Alberto Roca Marc Feldman Mitch Sogin Michael Eisen Dan Distel Jeff Palmer W. Finch, W. Huang, S. Mongkolsuk, J. Coleman, & A. Clark for unpublished recA sequences. Steve Smith and Joe Felsenstein for free computer programs. National Science Foundation National Institutes of Health