Hi friends. So @dexterdev is back with another cool topic. Let us begin! I will start with a picture of a beautiful fish named **Emperor Angelfish** (*Pomacanthus imperator*). What interests me in this fish is its patterns. So beautiful right? The interesting part is that scientists have modeled these patterns mathematically!

<center>![3367312784_e699757bfd_z.jpg](https://steemitimages.com/DQmdhZ3xBLXv7BXUBaUZRPS7AiR12qn6jwYe4fn3Tp9d4WV/3367312784_e699757bfd_z.jpg)**FIGURE 1** Image Source: [Flickr](https://www.flickr.com/photos/nostri-imago/3367312784), Uploader: [Cliff](https://www.flickr.com/photos/nostri-imago/), License: [CC BY 2.0](https://creativecommons.org/licenses/by/2.0/)</center>

## Inspiration for this post

So last weekend I was visiting my hometown in Kerala. I was walking through the local fish market and saw some tuna (കുടുത pronounced ku-du-tha in Malayalam). Some snapshots below:

![P_20180317_102957.jpg](https://steemitimages.com/DQmVU9cSbd7U3AKDqK8g2Tzx4c61CYGqgGoZzMQoqVS48v2/P_20180317_102957.jpg)

![P_20180317_102935.jpg](https://steemitimages.com/DQmPBLqZQhzn8NchLzjtcMwGXvkiFySnqhg7h4Ld4pVn8gA/P_20180317_102935.jpg)


Do you see some patterns on these fish-skins? ***Something immediately struck my mind!*** Something which I have learned in past in my systems-biology classes. We were taught reaction-diffusion systems and about pattern formation etc in those classes. I have simulated patterns like this. You can see it here:

https://www.youtube.com/watch?v=oAo42gXOsSs

The above simulations are something called Gray-Scott reaction-diffusion model. I have written some articles in past about the reaction-diffusion systems. You may want to see those (*The first link has a Matlab code to generate these patterns*):
- [An example of Reaction-diffusion process involving 2 species (Gray-Scott model)](https://steemit.com/dtube/@dexterdev/kkqsc0em).
- [Explaining Reaction-Diffusion process (continued)](https://steemit.com/steemstem/@dexterdev/explaining-reaction-diffusion-process-continued)

I agree that the patterns in the video are not exactly like the patterns on fish. But you can get very strikingly similar patterns with different parameters. You can explore the parameter space in this [webpage](http://mrob.com/pub/comp/xmorphia/index.html). You just click a region of pattern, corresponding simulation can be visualized from youtube.

## What did researchers modeled?

The history of Reaction-diffusion model traces back to the final paper by Alan Turing. Yes! 
<center>http://s0.geograph.org.uk/geophotos/01/59/10/1591029_98b4fb62.jpg</center>
<center> Image Source: [http://www.geograph.org.uk/](http://www.geograph.org.uk/photo/1591029), License: [CC BY-SA 2.0](https://creativecommons.org/licenses/by-sa/2.0/)</center>
The great Alan Turing conceived the concept of reaction-diffusion. *Was he interested in biology?* **Yes!** The title of his last paper says it all. [The Chemical Basis of Morphogenesis](http://www.dna.caltech.edu/courses/cs191/paperscs191/turing.pdf) was an attempt to model a very complex biological process namely morphogenesis! [Morphogenesis](https://en.wikipedia.org/wiki/Morphogenesis) as per wikipedia goes like this:

> Morphogenesis (from the Greek morphê shape and genesis creation, literally, "beginning of the shape") is the biological process that causes an organism to develop its shape. It is one of three fundamental aspects of developmental biology along with the control of cell growth and cellular differentiation, unified in evolutionary developmental biology (evo-devo).

So it is about how an organism attains its shape and patterns etc. His model was purely mathematical. Using two simple concepts like diffusion and reaction, he modeled a complicated process in a very minimal way. The idea basically was to model a PDE (partial differential equation) model which encompasses a chemical reaction term and particle diffusion term. The hypothetical particles were called morphogens for obvious reasons. Morphogens may be practically protein molecules etc. And the counterintuitive result was that diffusion which usually is a stabilizing process, in presence of reactions (with appropriate parameters of course) give rise to instabilities in the system which show up as oscillations in space and time.

The model is great! But the million dollar question is now  ***Is there any real-life examples?*** So recently from Japan,  Kondo et al (see references) came up with some real examples. Examples in the form of patterns in ***Emperor Angelfish*** (*Pomacanthus imperator*). See FIGURE 1.

## The Kondo model

The Kondo model in equations is as below:

![](https://steemitimages.com/DQmU3Vi2YJPzy9UUYF3KA9aM3nMg3TRdAEzBHP5oxWKuSpi/image.png)

The second derivatives terms are diffusion terms. Diffusion is a simple concept and you may look up its wiki page [here](https://en.wikipedia.org/wiki/Diffusion). Now coming to the reaction terms the subtracted terms are decaying chemicals and added (positive) terms are the addition of chemicals etc. And the single derivative terms, the rate of change with time is the sum of both reaction and diffusion terms.'A' and 'I' are the hypothetical activator and inhibitor molecules. 'x' is the one-dimensional space and 't' is the time. c<sub>1</sub>,c<sub>2</sub>,c<sub>3</sub> etc are reaction rates. D<sub>A</sub> and D<sub>I</sub> are diffusion coefficients, the rate at which the reagents diffuse through space. For specific parameter values, the system mimics the pattern evolution on this particular fish very accurately! The concentration of 'A' molecule in space with time gives the evolution of pattern. Here is an approximate illustration based on the Kondo's paper:

![kondo-illustration.png](https://steemitimages.com/DQmWvs95XM3JtatcKYTnwKUjJBZf44KPEGRqCDV2AKgRzTK/kondo-illustration.png)

I think this is a very interesting aspect of mathematical modeling. I guess you enjoyed this article. I have attached links to relevant papers in the reference. By the way, there are multiple examples like this. But only in certain cases, we really get to know the real molecules in action. In most hypothetical-molecule models, the model is a dimensionally reduced representation of a complicated system with many participants but still reproduces the results very nicely.

###  My plan for future

I will once explain how to understand reaction-diffusion systems more nicely. Maybe in my ***Visually explained!*** series.


## References


[1]: [Turing, Alan Mathison. "The chemical basis of morphogenesis." Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 237.641 (1952): 37-72.](http://www.dna.caltech.edu/courses/cs191/paperscs191/turing.pdf)
[2]: [Kondo, S. and Asai, R. (1995) A reaction-diffusion wave on the skin of marine angelfish Pomacanthus. Nature 376, 765–768](http://www.fbs.osaka-u.ac.jp/labs/skondo/paper/kondo%20Nature%201995.pdf)
[3]: [Watanabe, Masakatsu, and Shigeru Kondo. "Is pigment patterning in fish skin determined by the Turing mechanism?." Trends in Genetics 31.2 (2015): 88-96.](http://www.cell.com/trends/genetics/abstract/S0168-9525(14)00197-8)

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If you like my content please upvote and resteem it. Below are few of my recent posts, you may find interesting:
- [Phospholipids: The unsung heroes in biomolecules!](https://steemit.com/steemstem/@dexterdev/phospholipids-the-unsung-heroes-in-biomoleucles)
- [Information-driven processes versus Self-Organization processes in Biology](https://steemit.com/steemstem/@dexterdev/information-driven-processes-versus-self-organization-processes-in-biology)



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