From ccf852b018b39a6e74b9970357cea78140bdc531 Mon Sep 17 00:00:00 2001 From: Stefan Dresselhaus Date: Mon, 23 Apr 2018 00:22:21 +0200 Subject: [PATCH] rough sketch with some examples --- .gitmodules | 3 + Makefile | 7 +- README.md | 9 + documentation.html | 7226 ++++++++++++++++++++++++++++++++++++ documentation.pdf | Bin 194248 -> 230046 bytes make-code-footnotesize.tex | 1 + reveal.js | 1 + sketch.md | 1 + sketch.md.lhs | 329 +- 9 files changed, 7559 insertions(+), 18 deletions(-) create mode 100644 .gitmodules create mode 100644 documentation.html create mode 100644 make-code-footnotesize.tex create mode 160000 reveal.js create mode 120000 sketch.md diff --git a/.gitmodules b/.gitmodules new file mode 100644 index 0000000..b2a6817 --- /dev/null +++ b/.gitmodules @@ -0,0 +1,3 @@ +[submodule "reveal.js"] + path = reveal.js + url = git@github.com:hakimel/reveal.js.git diff --git a/Makefile b/Makefile index f7359c1..3a5e798 100644 --- a/Makefile +++ b/Makefile @@ -3,7 +3,12 @@ INPUT = sketch.md.lhs pdf: $(INPUT) - pandoc -f markdown+lhs+smart+emoji -o documentation.pdf $(INPUT) + pandoc -f markdown+lhs+smart+emoji -H make-code-footnotesize.tex \ + -o documentation.pdf $(INPUT) + +slides: $(INPUT) + pandoc -f markdown+lhs+smart+emoji -t revealjs --self-contained --incremental \ + -o documentation.html $(INPUT) run: $(INPUT) diff --git a/README.md b/README.md index 11160ee..fd44646 100644 --- a/README.md +++ b/README.md @@ -8,3 +8,12 @@ References: - [Moore et al (2013): Explaining intraspecific diversity in plant secondary metabolites in an ecological context](https://nph.onlinelibrary.wiley.com/doi/full/10.1111/nph.12526) - [Firn, Jones (2003): Natural products – a simple model to explain chemical diversity](http://www.caryinstitute.org/sites/default/files/public/reprints/Firn_&_Jones_2003_Natural_RSC_Nat_Prod_Rep_20_382-391.pdf) +## Creating slideshow + +The slides are created with revealjs which has to be present. A simple + +```bash +git submodule update --init +``` + +pulls all dependencies and `make slides` then works as expected. diff --git a/documentation.html b/documentation.html new file mode 100644 index 0000000..8c5d644 --- /dev/null +++ b/documentation.html @@ -0,0 +1,7226 @@ + + + + + + + Sketch for simulating chemodiversity + + + + + + + + + + + + +
+
+ +
+

Sketch for simulating chemodiversity

+

Stefan Dresselhaus

+
+ +
+

(rough) sketch components responsible for chemodiversity

+
+
+ +

Genes

+
    +
  • define which enzymes are produced in which quantities +
      +
    • list in fig. 1 in [1]
    • +
  • +
  • can be scaled down/inactivated (i.e. when predators leave for generations) +
      +
    • easy to ramp up production as long as the genes are still there
    • +
  • +
  • plants can survive without problems with inactive PSM-cycles when no adversaries are present.
  • +
+
+
+ +

Inheritance & Mutation

+
    +
  • via whole-genome and local-genome duplication
  • +
  • copies accumulate mutations that lead to neofunctionalization
  • +
  • e.g. subtle differences in terpene synthases can yield vastly different products +
      +
    • i.e. these changes can appear easily
    • +
    • need to classify products by “chemical distance” for simulation
    • +
    • TODO: Map/Markov-Chain of mutations that may occur here?
    • +
  • +
+
+
+ +

Evolutional strategies

+
    +
  • “Bet-hedging”: reduce variations of fitness over time +
      +
    • TODO: understand
    • +
    • different effects of intra-cohort-variation vs. inter-cohort-variation
    • +
  • +
  • Plants with inactive PSM can survive if predators are deterred by other individuals due to automimicry-effect which could foster wider genetic variance +
      +
    • the more of those individuals are present in a population, the less their overall fitness becomes.
    • +
    • TODO: fitness must also be able to depend on relative appearance of adversarial traits in the population +
        +
      • Keyword: Frequency-dependent-selection (FDS)
      • +
    • +
  • +
+
+
+ +

Pathways to produce chemical compounds

+
    +
  • 40k+ compounds just stem from compounds of the calvin-cycle taking the MEP-pathway or from the krebs-cycle taking the MVA-pathway +
      +
    • both yield the same intermediate product that forms the basis.
    • +
  • +
  • 10k+ compounds are amino-acid-derivatives
  • +
  • Chapter VI in [1] exemplary describes 4 complete different pathways that yield compounds. +
      +
    • similar compounds/pathways should be found in the simulation
    • +
  • +
+
+
+ +

Consequences of producing compounds

+
    +
  • taking away parts of the calvin/krebs cycle puts pressure on those +
      +
    • TODO: find out what they do and on what they depend.
    • +
  • +
  • TODO: where do amino-acids come from? How much impact has the diversion of these components?
  • +
+
+
+ +

Maintaining chemical diversity

+

+ screening hypothesis

+
    +
  • many PSM found have no known biological activity
  • +
  • plants “keep them around” in case another mutation needs them to produce something “useful”
  • +
  • creating things without use increase the need for photosynthesis and/or nutrient uptake.
  • +
+

- screening hypothesis

+
    +
  • it is suggested that local abiotic & biotic selection pressures are the main driver
  • +
  • inactive molecules are not maintained long
  • +
  • it was observed that some plants “rediscovered” some compounds in their evolution suggesting they got rid of them when no pressure to maintain them was applied
  • +
+
+
+ +

questions resulting from this that should be answered in the simulation

+
    +
  • details in chapter VIII of [1]
  • +
  • how quick can lost diversity be restored?
  • +
  • how expensive is it to keep producing many inactive substances while also producing active deterrents? Does this lead to a single point-of-failure due to overspecialisation? What must be done to prevent this?
  • +
  • strong selection pressure should decrease quantity of compounds due to costs, but plants do not seem to care. +
      +
    • is this diversity needed in presence of multiple different adversaries?
    • +
    • does the simulation specialize when only presented with one adversary? What about adaptive adversaries?
    • +
    • adaptation in the qualitative & quantitative evolution in response to changed pressure? (i.e. those who cannot adapt quick enough die?)
    • +
  • +
+
+
+

Scenario

+

As this is literate Haskell first a bit of throat-clearing:

+
{-# LANGUAGE RecordWildCards #-}
+
+
import Data.Functor ((<$>))
+
import Control.Applicative ((<*>))
+
import Control.Monad (forM_)
+
import Data.List (permutations, subsequences)
+

Then some general aliases to make everything more readable:

+
type Probability = Float
+
type Quantity = Int
+
type Activation = Float
+
type Amount = Float
+
+
+ +

Nutrients & Compounds

+

Nutrients are the basis for any reaction and are found in the environment of the plant.

+
data Nutrient = Sulfur
+
| Phosphor
+
| Nitrate
+
| Photosynthesis
+
deriving (Show, Enum, Bounded, Eq)
+
+
data Component = PP
+
| FPP
+
deriving (Show, Enum, Bounded, Eq)
+

Compounds are either direct nutrients or already processed components

+
data Compound = Substrate Nutrient
+
| Produced Component
+
deriving (Show, Eq)
+

This simple definition is only a brief sketch.

+
+
+ +

Enzymes

+

Enzymes are the main reaction-driver behind synthesis of intricate compounds.

+
data Enzyme = Enzyme
+
{ enzymeName :: String
+
-- ^ Name of the Enzyme. Enzymes with the same name are supposed
+
-- to be identical.
+
, substrateRequirements :: [(Nutrient,Amount)]
+
-- ^ needed for reaction to take place
+
, substrateIntolerance :: [(Nutrient,Amount)]
+
-- ^ inhibits reaction if given nutrients are above the given concentration
+
, synthesis :: [(Compound,Amount)] -> [(Compound,Amount)]
+
-- ^ given x in amount a, this will produce y in amount b
+
, dominance :: Maybe Amount
+
-- ^ in case of competition for nutrients this denotes the priority
+
-- Nothing = max possible
+
}
+
+
instance Show Enzyme where
+
show (Enzyme{..}) = enzymeName
+
+
instance Eq Enzyme where
+
a == b = enzymeName a == enzymeName b
+
+
+ +

Example “enzymes” could be:

+
pps :: Enzyme -- uses Phosphor from Substrate to produce PP
+
pps = Enzyme "PPS" [(Phosphor,1)] [] syn Nothing
+
where
+
syn compAvailable = [(Substrate Phosphor,i*(-1)),(Produced PP,i)]
+
where
+
i = getAmountOf (Substrate Phosphor) compAvailable
+
+
fpps :: Enzyme -- PP -> FPP
+
fpps = Enzyme "FPPS" [] [] syn Nothing
+
where
+
syn compAvailable = [(Produced PP,i*(-1)),(Produced FPP,i*0.5)]
+
where
+
i = getAmountOf (Produced PP) compAvailable
+
+
+ +

Environment

+

In the environment we have predators that impact the fitness of our plants and may be resistant to some compounds the plant produces. They can also differ in their intensity.

+
data Predator = Predator { resistance :: [Component]
+
-- ^ list of components this predator is resistant to
+
, fitnessImpact :: Amount
+
-- ^ impact on the fitness of a plant
+
-- (~ agressiveness of the herbivore)
+
} deriving (Show, Eq)
+

Exemplatory:

+
greenfly :: Predator -- 20% of plants die to greenfly, but the fly is
+
greenfly = Predator [PP] 0.2 -- killed by any Component not being PP
+
+
+ +

The environment itself is just the soil and the predators. Extensions would be possible.

+
data Environment =
+
Environment
+
{ soil :: [(Nutrient, Amount)]
+
-- ^ soil is a list of nutrients available to the plant.
+
, predators :: [(Predator, Probability)]
+
-- ^ Predators with the probability of appearance in this generation.
+
} deriving (Show, Eq)
+

Example:

+
exampleEnvironment :: Environment
+
exampleEnvironment =
+
Environment
+
{ soil = [ (Nitrate, 2)
+
, (Phosphor, 3)
+
, (Photosynthesis, 10)
+
]
+
, predators = [ (greenfly, 0.1) ]
+
}
+
+
+ +

Plants

+

Plants consist of a Genome responsible for creation of the PSM and also an internal state how many nutrients and compounds are currently inside the plant.

+
type Genome = [(Enzyme, Quantity, Activation)]
+
+
data Plant = Plant
+
{ genome :: Genome
+
-- ^ the genetic characteristic of the plant
+
, absorbNutrients :: Environment -> [(Nutrient,Amount)]
+
-- ^ the capability to absorb nutrients given an environment
+
}
+
instance Show Plant where
+
show p = "Plant with Genome " ++ show (genome p)
+
instance Eq Plant where
+
a == b = genome a == genome b
+
+
+ +

The following example yields in the example-environment this population:

+
*Main> printPopulation [pps, fpps] plants
+Population:
+PPS     ______oöö+++______oöö+++____________oöö+++oöö+++
+FPPS    ____________oöö+++oöö+++______oöö+++______oöö+++
+
plants :: [Plant]
+
plants = (\g -> Plant g defaultAbsorption) <$> genomes
+
where
+
enzymes = [pps, fpps]
+
quantity = [1,2] :: [Quantity]
+
activation = [0.7, 0.9, 1]
+
+
genomes = do
+
e <- permutations enzymes
+
e' <- subsequences e
+
q <- quantity
+
a <- activation
+
return $ (,,) <$> e' <*> [q] <*> [a]
+
+
defaultAbsorption (Environment s _) = limit Phosphor 2
+
. limit Nitrate 1
+
. limit Sulfur 0
+
<$> s
+
-- custom absorbtion with helper-function:
+
limit :: Nutrient -> Amount -> (Nutrient, Amount) -> (Nutrient, Amount)
+
limit n a (n', a')
+
| n == n' = (n, min a a') -- if we should limit, then we do ;)
+
| otherwise = (n', a')
+
+
+ +

Fitness

+

The fitness-measure is central for the generation of offspring and the simulation. It evaluates the probability for passing on genes given a plant in an environment.

+
type Fitness = Float
+
+
fitness :: Environment -> Plant -> Fitness
+
fitness e p = survivalRate
+
where
+
nutrients = absorbNutrients p e
+
products = produceCompounds p nutrients
+
survivalRate = deterPredators (predators e) products
+
+
+ +
produceCompounds :: Plant -> [(Nutrient, Amount)] -> [Compound]
+
produceCompounds (Plant genes _) = undefined
+
-- this will take some constrained linear algebra-solving
+
deterPredators :: [(Predator, Probability)] -> [Compound] -> Probability
+
deterPredators ps cs = sum $ do
+
c <- cs -- for every compound
+
(p,prob) <- ps -- and every predator
+
return (if c `notin` (resistance p) -- if the plant cannot deter the predator
+
then prob * fitnessImpact p -- impact it weighted by probability
+
else 0)
+
where
+
(Produced a) `notin` b = all (/=a) b
+
_ `notin`_ = False
+

Mating & Creation of diversity

+

TODO

+
+
+ +

Running the simulation

+
main = do
+
putStrLn "Environment:"
+
print exampleEnvironment
+
putStrLn "Example population:"
+
printPopulation [pps, fpps] plants
+
runhaskell sketch.md.lhs
+Environment:
+Environment { soil = [(Nitrate,2.0),(Phosphor,3.0),(Photosynthesis,10.0)]
+            , predators = [(Predator {resistance = [PP], fitnessImpact = 0.2},0.1)]}
+Example population:
+Population:
+PPS     ______oöö+++______oöö+++____________oöö+++oöö+++
+FPPS    ____________oöö+++oöö+++______oöö+++______oöö+++
+
+
+ +

Utility Functions

+
getAmountOf :: Compound -> [(Compound, Amount)] -> Amount
+
getAmountOf c = sum . fmap snd . filter ((== c) . fst)
+
+
printPopulation :: [Enzyme] -> [Plant] -> IO ()
+
printPopulation es ps = do
+
let padded i str = take i $ str ++ repeat ' '
+
putStrLn "Population:"
+
forM_ es $ \e -> do
+
putStr $ padded 8 (show e)
+
forM_ ps $ \(Plant g _) -> do
+
let curE = sum $ map (\(_,q,a) -> (fromIntegral q)*a)
+
. filter (\(e',_,_) -> e == e')
+
$ g
+
plot x
+
| x > 2 = "O"
+
| x > 1 = "+"
+
| x > 0.7 = "ö"
+
| x > 0.5 = "o"
+
| x > 0 = "."
+
| otherwise = "_"
+
putStr (plot curE)
+
putStrLn ""
+
+
+
+ + + + + + + diff --git a/documentation.pdf b/documentation.pdf index ffba2e3cb221cfe0f9034b7dd89acdb3c46a43b0..0869b30df236c09afeec92b2feb063e4075734e4 100644 GIT binary patch delta 219264 zcmXV$LtrLQ)@@@}Y}>YN+o{;LlP|Vy+qSKWZQFKU_v?Rl#%HkCUHjbeYuMZncqB4K zQE@sZdNvrcxuuac7*6H{Boq*4#-so^DnN^dOxz|rV(+KMo$9#Y$gxbFZe*!vJ~+B% zL$B>ie~M)m6d4!sameE(3o2FJ^>!%^1z!ZQM0SS#$)_Yzvp85!Uc#?OuikX+4pS`V zfaeTzvnJ6bCp~O(8fuzW2)c|*)|OAEb0(#R{R!1T)`*u?=%V6fM&QFmvdhTJ1Mc^e{dB8#3kOtWEk=N!q!KC;$ z^cezzwb*o)vAoL+mL$=o#wrIc34nOaYWd7tGVz^FK8m0UWGy^%D%kHCKr<6Ko3`in z@&y?j}x<42e? zy1QszG^Y}xrZ7~RmV{<|T*LhcHrBjc%pq%rUyJsJZ7wBbGTkU!d#ZK{&x& zO%|ycL6vg@u5XFXy^*LV2Dr7Rk`s<5nQ}lv@HGP+rr4QYKiTD)Mz|yem`9AlDD+pl zQTuC4uRb?0iVwgq+_q#1cxk)(VpbQVdCei@Pmi~zr4n}KgGq1r-d%Je>M}@R4^7we zS?3kJ2!%*l4lTMAP2-t~9Kr4K0Zn>SrRMb8I$2p#QJjR`b{EUX~Z<@A4iopV+` zH_9j6uD}JXy6%#v40d(aB?^hW@Y#>zH*>kK@Ak9CyLt zj=09aBes5M;*_Qd@P?e$+Z9)cA7;_1;~tGtT;`#-^~FN+nUlI=w05aWiW(whkv z_0kIPjKCNMfHjupde2s*J{}>LEVE$JC?w z@3fzWghksz9lUV$Ttqosq?!ajwgXhQB7CEB!OJCkhBW=upv9<2F|lJG>oa8iL;B7siEzECwn6+ z7%tBL#v14UVy#D0#`*tZO_B`_4sow4O*V_&c5#9<$HPg=$zP08SPmIRYJIuymL5Hx zEL8o`!g(%!(3xP@uS*8KCrSBc{Ua=HpU-66EFhkFA_@k*^Pd21s&Kf+>T)N6`0_FZ zg{*yPp$*xzxarYm4Vp@LbOgx+PYeONX0rm1BONTZ{r0j`m{J@uZ!N z0KGki7Jk)E`TSb!$`1U*gwggaLoQ_s9u1iwm6m+6G#5`9s!S#FsMatE{R63tr)oVb z6+rq<3ieZ%86-E3=52RN{D*}@LP63rUh^ZkO0PI~~KgZb)1M^||vk(b>% zbM2*5z3BS8qViQ@37a*H3%hqT$2+s(P@KVID{RWz+4>^K3Sx==00r+MlFT$S0sdJ& zDM3PpU7d&1vbo0cU*#@C(5A(Mow2&dEg+PTA_`?~lGM}`XuvAre(fgH3nB;TO4Y>h zcmqBkQ_9i&;_gGw-7EMK3M7iwIrc{VgVw`Sy`xD0p$A$fD4~%#p)m5HPTV#D>#Zn#()Apu$b}0ZTM2UWeF>E)sP! 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LANGUAGE RecordWildCards #-} +> +> import Data.Functor ((<$>)) +> import Control.Applicative ((<*>)) +> import Control.Monad (forM_) +> import Data.List (permutations, subsequences) -== Herbivores +Then some general aliases to make everything more readable: -== Environment +> type Probability = Float +> type Quantity = Int +> type Activation = Float +> type Amount = Float -== Fitness +--- -== Mating & Creation of diversity +Nutrients & Compounds +--------------------- + +Nutrients are the basis for any reaction and are found in the environment of the +plant. + +> data Nutrient = Sulfur +> | Phosphor +> | Nitrate +> | Photosynthesis +> deriving (Show, Enum, Bounded, Eq) +> +> data Component = PP +> | FPP +> deriving (Show, Enum, Bounded, Eq) + +Compounds are either direct nutrients or already processed components + +> data Compound = Substrate Nutrient +> | Produced Component +> deriving (Show, Eq) + +This simple definition is only a brief sketch. + +--- + +Enzymes +------- + +Enzymes are the main reaction-driver behind synthesis of intricate compounds. + +> data Enzyme = Enzyme +> { enzymeName :: String +> -- ^ Name of the Enzyme. Enzymes with the same name are supposed +> -- to be identical. +> , substrateRequirements :: [(Nutrient,Amount)] +> -- ^ needed for reaction to take place +> , substrateIntolerance :: [(Nutrient,Amount)] +> -- ^ inhibits reaction if given nutrients are above the given concentration +> , synthesis :: [(Compound,Amount)] -> [(Compound,Amount)] +> -- ^ given x in amount a, this will produce y in amount b +> , dominance :: Maybe Amount +> -- ^ in case of competition for nutrients this denotes the priority +> -- Nothing = max possible +> } +> +> instance Show Enzyme where +> show (Enzyme{..}) = enzymeName +> +> instance Eq Enzyme where +> a == b = enzymeName a == enzymeName b + +--- + +Example "enzymes" could be: + +> pps :: Enzyme -- uses Phosphor from Substrate to produce PP +> pps = Enzyme "PPS" [(Phosphor,1)] [] syn Nothing +> where +> syn compAvailable = [(Substrate Phosphor,i*(-1)),(Produced PP,i)] +> where +> i = getAmountOf (Substrate Phosphor) compAvailable +> +> fpps :: Enzyme -- PP -> FPP +> fpps = Enzyme "FPPS" [] [] syn Nothing +> where +> syn compAvailable = [(Produced PP,i*(-1)),(Produced FPP,i*0.5)] +> where +> i = getAmountOf (Produced PP) compAvailable +--- + +Environment +----------- + +In the environment we have predators that impact the fitness of our plants and +may be resistant to some compounds the plant produces. They can also differ in +their intensity. + +> data Predator = Predator { resistance :: [Component] +> -- ^ list of components this predator is resistant to +> , fitnessImpact :: Amount +> -- ^ impact on the fitness of a plant +> -- (~ agressiveness of the herbivore) +> } deriving (Show, Eq) + +Exemplatory: + +> greenfly :: Predator -- 20% of plants die to greenfly, but the fly is +> greenfly = Predator [PP] 0.2 -- killed by any Component not being PP + +--- + +The environment itself is just the soil and the predators. Extensions would be +possible. + +> data Environment = +> Environment +> { soil :: [(Nutrient, Amount)] +> -- ^ soil is a list of nutrients available to the plant. +> , predators :: [(Predator, Probability)] +> -- ^ Predators with the probability of appearance in this generation. +> } deriving (Show, Eq) + +Example: + +> exampleEnvironment :: Environment +> exampleEnvironment = +> Environment +> { soil = [ (Nitrate, 2) +> , (Phosphor, 3) +> , (Photosynthesis, 10) +> ] +> , predators = [ (greenfly, 0.1) ] +> } + +--- + +Plants +------ + +Plants consist of a Genome responsible for creation of the PSM and also an +internal state how many nutrients and compounds are currently inside the plant. + +> type Genome = [(Enzyme, Quantity, Activation)] +> +> data Plant = Plant +> { genome :: Genome +> -- ^ the genetic characteristic of the plant +> , absorbNutrients :: Environment -> [(Nutrient,Amount)] +> -- ^ the capability to absorb nutrients given an environment +> } +> instance Show Plant where +> show p = "Plant with Genome " ++ show (genome p) +> instance Eq Plant where +> a == b = genome a == genome b + +--- + +The following example yields in the example-environment this population: + + *Main> printPopulation [pps, fpps] plants + Population: + PPS ______oöö+++______oöö+++____________oöö+++oöö+++ + FPPS ____________oöö+++oöö+++______oöö+++______oöö+++ + +> plants :: [Plant] +> plants = (\g -> Plant g defaultAbsorption) <$> genomes +> where +> enzymes = [pps, fpps] +> quantity = [1,2] :: [Quantity] +> activation = [0.7, 0.9, 1] +> +> genomes = do +> e <- permutations enzymes +> e' <- subsequences e +> q <- quantity +> a <- activation +> return $ (,,) <$> e' <*> [q] <*> [a] +> +> defaultAbsorption (Environment s _) = limit Phosphor 2 +> . limit Nitrate 1 +> . limit Sulfur 0 +> <$> s +> -- custom absorbtion with helper-function: +> limit :: Nutrient -> Amount -> (Nutrient, Amount) -> (Nutrient, Amount) +> limit n a (n', a') +> | n == n' = (n, min a a') -- if we should limit, then we do ;) +> | otherwise = (n', a') + +--- + +Fitness +------- + +The fitness-measure is central for the generation of offspring and the +simulation. It evaluates the probability for passing on genes given a plant in +an environment. + +> type Fitness = Float +> +> fitness :: Environment -> Plant -> Fitness +> fitness e p = survivalRate +> where +> nutrients = absorbNutrients p e +> products = produceCompounds p nutrients +> survivalRate = deterPredators (predators e) products + + +--- + +> produceCompounds :: Plant -> [(Nutrient, Amount)] -> [Compound] +> produceCompounds (Plant genes _) = undefined +> -- this will take some constrained linear algebra-solving + +> deterPredators :: [(Predator, Probability)] -> [Compound] -> Probability +> deterPredators ps cs = sum $ do +> c <- cs -- for every compound +> (p,prob) <- ps -- and every predator +> return (if c `notin` (resistance p) -- if the plant cannot deter the predator +> then prob * fitnessImpact p -- impact it weighted by probability +> else 0) +> where +> (Produced a) `notin` b = all (/=a) b +> _ `notin`_ = False + + +Mating & Creation of diversity +------------------------------ + +TODO + +--- + +Running the simulation +---------------------- + +> main = do +> putStrLn "Environment:" +> print exampleEnvironment +> putStrLn "Example population:" +> printPopulation [pps, fpps] plants + + runhaskell sketch.md.lhs + Environment: + Environment { soil = [(Nitrate,2.0),(Phosphor,3.0),(Photosynthesis,10.0)] + , predators = [(Predator {resistance = [PP], fitnessImpact = 0.2},0.1)]} + Example population: + Population: + PPS ______oöö+++______oöö+++____________oöö+++oöö+++ + FPPS ____________oöö+++oöö+++______oöö+++______oöö+++ + + +--- + +Utility Functions +----------------- + +> getAmountOf :: Compound -> [(Compound, Amount)] -> Amount +> getAmountOf c = sum . fmap snd . filter ((== c) . fst) +> +> printPopulation :: [Enzyme] -> [Plant] -> IO () +> printPopulation es ps = do +> let padded i str = take i $ str ++ repeat ' ' +> putStrLn "Population:" +> forM_ es $ \e -> do +> putStr $ padded 8 (show e) +> forM_ ps $ \(Plant g _) -> do +> let curE = sum $ map (\(_,q,a) -> (fromIntegral q)*a) +> . filter (\(e',_,_) -> e == e') +> $ g +> plot x +> | x > 2 = "O" +> | x > 1 = "+" +> | x > 0.7 = "ö" +> | x > 0.5 = "o" +> | x > 0 = "." +> | otherwise = "_" +> putStr (plot curE) +> putStrLn ""