from simple peptides to multi-component metabolons
DESCRIPTION
FROM SIMPLE PEPTIDES TO MULTI-COMPONENT METABOLONS. Milton Saier Division of Biological Sciences University of California, San Diego [email protected]. Outline. Introduction: The Power of Bioinformatics From Peptides to Carriers: Mapping Evolutionary Pathways - PowerPoint PPT PresentationTRANSCRIPT
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FROM SIMPLE PEPTIDES TO MULTI-COMPONENT
METABOLONS
Milton Saier
Division of Biological Sciences
University of California, San Diego
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Outline
Introduction:
The Power of Bioinformatics
From Peptides to Carriers:
Mapping Evolutionary Pathways
From Carriers to Active Transporters:
The Bacterial Phosphotransferase System
From Active Transporters to Metabolons:
The PTS-Glycolytic Complex
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INTRODUCTION
The Power of Bioinformatics
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“Genomics has changed everything, but not our thought processes.
We need a completely new way of thinking if man is to extract the information
made available by genomics.”-Anonymous
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Every detail of every living organism is encoded within the genome of that organism.
It is the immense task of bioinformatics to decipher that information.
It is the even greater task of biosystematics to render that information intelligible to the human brain.
Bioinformatics
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All of biology makes sense only in the light of evolution.
Any biosystematic approach to the classification of biological entities must take cognizance of evolution.
Molecular phylogeny reflects the evolutionary process and is therefore the most reliable guide to structure, function, mechanism, metabolism and physiology.
Evolutionary Perspective
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Organism-specificCharacteristicsShuffling of
Constituentsbetween MulticomponentTransporters
Output:Types of QuestionsAnswered
HorizontalTransferbetweenOrganismal Kingdoms
IndependentOrigins of Distinct Families
Pathways of TransporterEvolution
Pressures for and Origins of MDR
Intracellular (subcellular) Distribution
Bioinformaticsand
Biosystematics
Sequence
StructuralFunctional
Regulatory
Physiological
Input:Types of Data
Bioinformatic approaches to answering fundamental questions about transport proteins
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FROM PEPTIDES TO CARRIERS
Mapping Evolutionary PathwaysMapping Evolutionary Pathways
2
4
6x2
+4
8
12 24
+4
+2x2 x2
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ProteinChannels
Carriers
1° ActiveTransporters
GroupTranslocators
Peptide Channels
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# T
opol
ogic
al T
ypes
# TMSs/polypeptide chain
3 6 9 12 15
3 6 9 12 15
A. Channel (1.A+1.C+1.E)
B. Carriers (2.A)
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Event Path Family
2 + 1 2 3 MIT; MFS
2 x 2 2 4 VIC; F-ATPase; MTB;
YiaAB; Connexin (?)
2 x 3 2 6 MC; F-ATPase; ABC1; YedZ; CDF; CRAC (-2)
2 + 4 2 6 VIC
2 + 6 2 8 VIC
Transporter Evolution: From 2 TMSs
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2 X 2 2 X 3
Primordial hairpin (2TMSs)
Orai (4TMSs)(CRAC Ca2+ Channels)
CDF (6TMSs)(Me2+:H+ Antiporters)
not likely
likely
- 2
Proposed Common Origin for CRAC channels and CDF carriers
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Transporter Evolution: From 3 TMSs
Event Path Family
3 + 1 3 4 Mot/Exb
3 x 2 3 6 MIP; DsbD; ABC2
3 x 2 3 7 LCT; Brho
3 + n-3 3 n MscS
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Transporter Evolution: From 4 TMSs
Event Path Family
4 + 1 4 5 DMT
4 x 2 4 8 MTB; PNaS; LIV-E; ABC3
4 x 2 4 10 ABC3
4 x 3 (?) 4 12 LIV-E (?)
4 x 4
(4 x 2 x 2)
4 16 OPT
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ABC1: 6TMSs
ABC2: 6TMSs
ABC3: 8TMSs
A.
C.
B.
Independent Origins for Three Families of ABC Porters
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ABC3 Topological Types
A
B
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Transporter Evolution: From 5 or 6 TMSs
Event Path Family
5 x 2 5 10 DMT; CaCA; ThrE; UT
5 x 2 5 11 MgtE
6 x 2 6 12 MFS; RND; PET; Chr; MOP; VIC; ArsB; ABC
6 x 3 6 16 H+-PPase
6 x 2 6 24(6 x 2 x 2)
VIC
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Transporter Evolution: From 10 or 12 TMSs
Event Path Family
10 x 2 10 20 UT
10 x 3 10 30 DMT
12 x 2 12 24 MFS; VIC
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Transporter Evolution: Variations on the 12 TMS Theme
Event Path Family
12 - 2 12 10 Chr; MOP; APC
12 - 1 12 11 AAAP; HAAAP; LIV-E(?)
12' 12 12' PIT
12 + 1, 2, 3 12 13-15 MOP
12 + 2 12 14 MFS; APC
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Superfamily(Number of TMSs in Current Homologues)
Proposed Pathway
VIC(2, 4, 6, 8, 12, 24)
2
4
6x2
+4
8
12 24
+4
+2x2 x2
MFS(6, 12, 14, 24) 2 3+1 6 12x2 x2 +2 14
24
x2
APC(10, 11, 12, 14)
-16 12x2 -211+2
10
14
DMT(4, 5, 10, 30)
+1 x2 x34-1
5 10 30
MOP(10, 12, (13?), 14, 15)
+26 12x2 -210
14 +1 15
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FROM CARRIERS TO GROUP TRANSLOCATORS
The Bacterial Phosphotransferase System
S-P
C
A
I
H
B
PEP
Pyruvate
S
S
S
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The PTS: Functional Complexity
1. Chemoreception
2. Transport
3. Sugar phosphorylation
4. Protein phosphorylation
5. Regulation of non-PTS transport
6. Regulation of carbon metabolism
7. Coordination of nitrogen and carbon metabolism
8. Regulation of gene expression
9. Regulation of pathogenesis
10. Regulation of cell physiology
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PTS: Structural Complexity
IIC: The permease and receptor (sugar specific)
IIB: The direct phosphoryl donor (permease specific)
IIA: The indirect phosphoryl donor (family specific)
EI and HPr: The general energy-coupling proteins (PTS pathway specific)
Enolase: The energy-yielding enzyme
PGI: The downstream substrate-converting enzyme
Glycolysis: The interconnecting cyclic pathway
----------------------------------------------PTS + Glycolysis: A metabolite-induced metabolon?
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Families of PTS Enzyme II Complexes
PTS enzyme II complexes comprise of at least
four (super)families that evolved
independently of each other.
1. The Glc-Fru-Lac superfamily
2. The Asc-Gat superfamily
3. The Man family
4. The Dha family
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Proposed Origins of PTS Permeases (IICs)
Glc-Fru-Lac superfamily (8 TMSs)Arose independently of other PTS permeases.
Asc-Gat superfamily (12 TMSs)Arose from a 12 TMS permease.
Man family (6 TMSs)May have arisen from a 6 TMS permease.
Dha family (0 TMSs)Arose from a soluble Dha kinase.
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Fru: The original PTS
Proposed Evolutionary Pathway:
Mosaic origins of IIAs and IIBs:IIAGlc is not homologous to IIAMtl or IIANtr
IIBGlc is not homologous to IIBChb
Conclusion: PTS permeases arose by superimposition of diverse energy coupling proteins onto pre-existing permeases.
The Glc-Fru-Lac Superfamily
Mtl
Glc
Glc’d
Lac
Chb
Fru
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The Asc-Gat Superfamily
IICAsc homologues are often fused to IIA and IIB homologues, but IICGat homologues never are.
IICAsc homologues are always encoded by genes in operons with IIA and IIB genes, but IICGat homologues can be encoded in operons lacking IIA and IIB genes.
Some IICGat homologues are found in organisms that lack all other PTS proteins.
Asc and Gat IIA and IIB constituents are distantly related to IIA and IIB constituents of the Glc-Fru-Lac superfamily.
Conclusions: Asc permeases probably function exclusively via the PTS, but Gat homologues may retain secondary carrier function.
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The Man Family
All constituents (IIA, IIB, IIC, and IID) differ structurally from all other PTS permease proteins.
All members, but only members of this family, have IID constituents.
The IIB constituents of the Man family are phosphorylated on His rather than Cys, but all others are phosphorylated on Cys.
Conclusion: All constituents of the Man family arose independently of those of the other sugar-transporting PTS families.
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The Dha FamilyDhaK and DhaL correspond to the N- and C-termini of
ATP-dependent DHA kinases.
DhaM consists of three domains: IIAMan-DPr-I
The three domains of DhaM are phosphorylated by PEP, EI and HPr, but DhaK and L are not phosphorylated.
DhaK binds DHA covalently to a His residue and transfers the phosphoryl group from IIA of DhaM to tightly bound ADP in DhaL, and then to DHA. Thus DhaL is IIB; DhaK is IIC.
Conclusion: PTS Dha non-permeases arose from soluble DHA kinases independently of all PTS permeases.
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FROM ACTIVE TRANSPORTERS TO METABOLONS
The PTS-Glycolytic Complex
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Proposed Steps in PTS Metabolon Construction
StabilizedPTS
Complex
CompleteGlycolyticMetabolon
S
S--------------
IIn-PLy
--------------PTS enzymes
--------------IIn-PLy
--------------PTS enzymes
Glycolyticenzymes
Glycolyticenzyme assembly
Free lateral diffusion
ProteolipidComplex
S+
--------------n II-PLx
--------------
--------------
IIn-PLy
--------------
S
Ligandbinding
+/- PL
PTS energy-coupling enzyme
association
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Evidence for a PTS-Glycolytic Metabolon
1. IICs are complexed with PTS energy-coupling enzymes in E. coli cells, but are easily disrupted. (Saier et al., 1982. J. Cell Biochem. 18:231-238)
2. Stable PTS enzyme complexes are found in other bacteria. (Saier and Staley, 1977. J. Bacteriol. 131:716-718)
3. In E. coli the glycolytic pathway has been isolated as an equimolar multi-enzyme complex (1.65 MDa) exhibiting substrate compartmentation. (Mowbray & Moses, 1976. Eur. J. Biochem. 66:25-36)
Benefits: Co-localization of PTS & glycolytic enzymes could provide high local PEP concentrations and allow substrate channeling.
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Autoregulation of PTS Gene Expression
Glc----------------
IIGlc~P----------------
Glc-P
Glc------------IIGlc~P
------------ +
Mlc
Repression of ptsGptsHI
manXYZ
----------------IIGlc
----------------Mlc
+ Glc-P
Activation of ptsGptsHI
manXYZ
(Plumbridge, 2002. Curr. Opin. Microbiol. 5:187-93)(Plumbridge, 2002. Curr. Opin. Microbiol. 5:187-93)
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CONCLUSIONS
From Peptides to Multi-component Metabolons
1° ActiveTransporters Group
Translocators
Protein Channels
PeptideChannels
Carriers
Multi-componentMetabolons
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Saier Lab (2005-2013)Mohammed Aboulwafa: PTS biochemistry.Ravi Barabote: PTS bioinformatics; E. coli
transcriptome analysis.Wolfgang Busch: Transporter classification.Thien Cao: General protein secretory (Sec)
pathway.Claudia Chagneau: Biofilm formation in
Bacillus.Abe Chang: Superfamily construction; Orthology
software development.Soo-Keun Choi: Interregulon interactions in
Bacillus subtilis.Yong Joon Chung: MDR characterization;
Bacillus transcriptome; Transporter bioinformatics.
Jeremy Felce: Genomics; Transport protein fusion analyses.
Claudio Gonzalez: Treponema PTS.Guillermo Gosset: Transcriptome analyses in
E. coli .Edgar Harvat: Fatty acid transport.Rikki Hvorup: Asc/Gat PTS superfamily; MOP
superfamily.Mirium Khwaja: ABC exporter bioinformatics.
Erin Kim: Protein motif analysis.Se Kim: Transporter type comparisons.Richie Kimball: DsbB/D families.Graciela Lorca: CcpB and gene regulation in
Bacillus; LAB genome sequencing & analysis.Qinhong Ma: Protein secretion.Thai Nguyen: Lab manager.Toff Peabody: Type II protein secretion.Chris Pivetti: Mechanosensitive channels.Shraddha Prakash: IT superfamily.Torston von Rozycki: Genomics; Transport
protein fusion analysis.Soumya Singhi: Hardware maintenance; Software
development.Aaron Stonestrom: HPr kinases; Genomics.Can Tran: TCDB; Software development;
Transporter fusion protein analyses.Brit Winnen: TTT family; Genomics.Ming-Ren Yen: Transporter bioinformatics; MDR
pump structure; PTS transport.Yufeng Zhai: Software development.Zhongge Zhang: PTS ascorbate transporter; MDR
(EmrE) molecular genetics.Xiaofeng Zhou: Software development.