games and cooperation

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Games and cooperation Eörs Szathmáry Eötvös University Collegium Budapest

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Games and cooperation. Eörs Szathmáry. Collegium Budapest . Eötvös University. Molecular hypercycle (Eigen, 1971). autocatalysis. heterocatalytic aid. Parasites in the hypercycle (Maynard Smith, 1979). short circuit. parasite. The stochastic corrector model for compartmentation. - PowerPoint PPT Presentation

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Page 1: Games and cooperation

Games and cooperation

Eörs Szathmáry

Eötvös University Collegium Budapest

Page 2: Games and cooperation

Molecular hypercycle (Eigen, 1971)

autocatalysis

heterocatalytic aid

Page 3: Games and cooperation

Parasites in the hypercycle (Maynard Smith, 1979)

parasite

short circuit

Page 4: Games and cooperation

The stochastic corrector model for compartmentation

Szathmáry, E. & Demeter L. (1987) Group selection of early replicators and the origin of life. J. theor Biol. 128, 463-486.

Grey, D., Hutson, V. & Szathmáry, E. (1995) A re-examination of the stochastic corrector model. Proc. R. Soc. Lond. B 262, 29-35.

Page 5: Games and cooperation

Group selection of early replicators

• Many more compartments than templates within any compartment

• No migration (fusion) between compartments

• Each compartment has only one parent• Group selection is very efficient• Selection for replication synchrony

Page 6: Games and cooperation

Bubbles and permeability

We do not know where lipids able to form membranes had come from!!!

Page 7: Games and cooperation

A case study: defective interfering particles (DIPs)

• DIP is a hyperparasite of the standard virus (SV)

• Gains a replicative advantage when complemented

• Usually shorter molecule• Would be the winner in a well-mixed flow

reactor• No chance to fix in structured populations

Page 8: Games and cooperation

A trait-group model for viruses

Page 9: Games and cooperation

DI: V game

Payoff matrix for two players

V DIV 2a aDI b 0

There is protected polymorphism when b > 2a

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Another rendering of the DIV game

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Chicken and Hawk-Dove gamesSwerve Straight

Swerve Tie, Tie Lose, Win

Straight Win, Lose Crash, Crash

Hawk DoveHawk (V-C)/2, (V-C)/2 V, 0

Dove 0, V V/2, V/2

In the biological literature, this game is referred to as Hawk-Dove. The earliest presentation of a form of the Hawk-Dove game was by John Maynard Smith and George Price in their 1973 Nature paper, "The logic of animal conflict". The traditional payoff matrix for the Hawk-Dove game is given here, where V is the value of the contested resource, and C is the cost of an escalated fight. It is (almost always) assumed that the value of the resource is less than the cost of a fight is, i.e., C > V > 0. If C ≤ V, the resulting game is not a game of Chicken.

Page 12: Games and cooperation

Evolutionarily Stable Strategy (ESS)

Hawk DoveHawk -1/2 1

Dove 0 1/2

V=1, C=2

An invader plays hawk with probability P and dove with probability 1 – P; and the residents play hawk and dove with equal probability. So, the four possible outcomes when a resident meets an invader have probabilities:

If an invader plays Hawk (P=1) or Dove (P=0), the payoff to the invader is ¼ in both cases

Page 13: Games and cooperation

ESS II.

Multiplying these by the payoffs for each of the four cases, we find that when a resident meets an invader, it wins the following payoff on average:

Payoff invader against invader:

Because this is never greater than the payoff to a resident, no strategy can invade: The resident strategy P = 1/2 is therefore an ESS.

Page 14: Games and cooperation

Evolutionary Stability in the Hawk-Dove game

The expected payoff for different kinds of contests in the hawk–dove game, when the resident population is at the evolutionarily stable strategy (ESS) (P = 0.5, where P is the probability that an individual plays hawk rather than dove).

Page 15: Games and cooperation

The ESS, verbally

• The ESS is the best reply to itself (Nash equilibrium)

• If there is an alternative best reply, then the reply of the ESS to the invader must be better than the invader’r reply to itself (stability condition)

Page 16: Games and cooperation

Nature 420, 360-363 (2002).

Kin selection of molecules on the rocks

Page 17: Games and cooperation

Maximum as a function of molecule length

• Target and replicase efficiency

• Copying fidelity• Trade-off among

all three traits: worst case

Page 18: Games and cooperation

Evolution of replicases on the rocks

• All functions coevolve and improve despite the tradeoffs

• Increased diffusion destroys the system

• Kin selection on the rocks

Page 19: Games and cooperation

Hamilton’s rule

b r > c• b: help given to recipient• r: degree of genetic relatedness between altruist and

recipient• c: price to altruist in terms of fitness• Formula valid for INVASION and MAINTENANCE• APPLIES TO THE FRATERNAL TRANSITIONS!!!

Page 20: Games and cooperation

Evolving population

Error rate Replicase activity

Page 21: Games and cooperation

A cellular automaton simulation

• Reaction: template replication

• Diffusion (Toffoli-Margolus algorithm)

Black: empty site

X: potential mothers

Page 22: Games and cooperation

Strong and weak altruism

• Strong altruist pays an absolute cost• Weak altruist pays a relative cost (it increases

its own fitness less than that of the others)• Weak altruist can spread with random group

assortment• Strong altruism requires nonrandom group

assortment (kin selection)

Page 23: Games and cooperation

‘Stationary’ population

parasites

efficient replicases

Page 24: Games and cooperation

Slime mould fruiting body

Page 25: Games and cooperation

Slime mold sexual reproduction

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One amoeboid cells

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Slime mould aggregation

• Amoebas assemble around one focus• Amoeboid shape changes into bipolar

Page 28: Games and cooperation

Propagation of cAMP signal

• Focal cell releases a dose of cAMP and then becomes inactive for a while

• Surrounding cells move towards higher cAMP and they release cAMP also

Page 29: Games and cooperation

Formation of Dictyostelium fruiting body

• In the slug pre-stalk cells go first

• Finally, pre-spores make it to the top

Page 30: Games and cooperation

Cheaters in myxobacteria (Lenski & Velicer, 2000)

• P developmentally proficient• C cheater (goes to stalk)

Page 31: Games and cooperation

Facultative cheaters

• Many cheaters are cheating only on the wild type

• They cooperate among themselves • Conflict selects for measures and

countermeasures• Drives fast molecular evolution • Similar to hybrid dysgenesis

Page 32: Games and cooperation

Public goods and E. coli• We constructed two Escherichia coli strains that recapitulate the interaction of

producers and nonproducers . The common good in this system is a membrane-permeable Rhl autoinducer molecule, rewired to activate antibiotic (chloramphenicol; Cm) resistance gene expression.

• Otherwise isogenic, green fluorescent protein (GFP)–marked producers synthesize the Rhl autoinducer constitutively, whereas nonfluorescent nonproducers do not.

• The system exhibited the expected properties for public-good producers and nonproducers.

• First, in antibiotic-containing media, producers grew in a density-dependent manner that was abolished when a synthetic autoinducer was exogenously supplied, indicating that autoinducer production was limiting.

• Second, when started from the same initial density, pure cultures of nonproducers grew slower than pure cultures of producers in antibiotic

• However, addition of either synthetic autoinducer or cell-free conditioned medium (containing autoinducer made by producers) increased nonproducer growth in antibiotic-containing media.

Page 33: Games and cooperation

Experimental data on E. coli populations

An autoinducer of antibiotic resistance

Page 34: Games and cooperation

Simpson’s paradox

Page 35: Games and cooperation

Playing with yeast

Page 36: Games and cooperation

Yeast snowdrift game

• Sucrose degraded by invertase to yield glucose in the periplasmic space

• Only 1% of glucose captured by the same cell

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The possible games

Page 38: Games and cooperation

Both can invade when rare

f

Pc-Pd

{c=0.02, ϵ=0.01}

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Extinction of cooperators

• By histidine concentration we can manipulate the cost of cooperation

Page 40: Games and cooperation

Population structure and relatedness in a bacterial

subpopulation• Proteins for

cooperation secreted or located on the outer membrane

• Can be on mobile elements

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Relatedness, transfer and migration

• Transfer of cooperation genes increases relatedness

• Spreads cooperating elements

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External protein genes are highly mobile

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Robustness in biology

Eörs Szathmáry

Eötvös University Collegium Budapest

Page 44: Games and cooperation

A genotype-phenotype model

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Robustness and adaptation time

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The explanation

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Robustness and diversity