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Luckily for us, a motley team of researchers has just uncovered another striking connection between math and nature; between one of the purest forms of mathematics, number theory, and the mechanisms governing the evolution of life on molecular scales, genetics.
Abstract as it may be, number theory might also be one of the more familiar forms of math to many of us. It encompasses the multiplication, subtraction, division, and addition (arithmetic functions) of integers, or whole numbers and their negative counterparts.
The famed Fibonacci sequence is but one example, where each number in the sequence is the sum of the previous two. Its patterns can be found all through nature, in pinecones, pineapples, and sunflower seeds.
"The beauty of number theory lies not only in the abstract relationships it uncovers between integers, but also in the deep mathematical structures it illuminates in our natural world," explains Oxford University mathematician Ard Louis, senior author of the new study.
Of interest to Louis and his colleagues were mutations, the genetic errors that slip into an organism's genome over time and drive evolution.
This so-called mutational robustness generates genetic diversity, yet it varies between species, and can even be observed in the proteins inside cells.
Studied proteins can tolerate around two-thirds of random errors in their coding sequences, meaning 66 percent of mutations are neutral and have no effect on their final shape.
We have known for some time that many biological systems exhibit remarkably high phenotype robustness, without which evolution would not be possible," explains Louis.
"But we didn't know what the absolute maximal robustness possible would be, or if there even was a maximum.
Louis and colleagues wondered how close nature could get to the upper bounds of mutational robustness, so ran numerical simulations to compute the possibilities.
They studied the abstract mathematical features of how many genetic variations map to a specific phenotype without changing it, and showed mutational robustness could indeed be maximized in naturally-occurring proteins and RNA structures.
What's more, the maximum robustness followed a self-repeating fractal pattern called a Blancmange curve, and was proportional to a basic concept of number theory, called the sum-of-digits fraction.
"We found clear evidence in the mapping from sequences to RNA secondary structures that nature in some cases achieves the exact maximum robustness bound," says Vaibhav Mohanty, of Harvard Medical School.
"It's as if biology knows about the fractal sums-of-digits function."
Let me try one of these threads.
perhaps everything in the universe really is unified under a ratio in which to exist.
The rotation of the sun: The rotation of the sun has been found to follow a pattern known as the Fibonacci sequence. This pattern is created by the way that the sun rotates on its axis, with each successive rotation forming a larger angle than the one before it
Each column corresponding to mass number (A), neutron number (N) and proton number (Z) follows the Fibonacci sequence. For each nuclide in this group of Fibonacci nuclides the A, N and Z numbers are all sequential numbers in a Fibonacci sequence; a Fibonacci triad.
"We found clear evidence in the mapping from sequences to RNA secondary structures that nature in some cases achieves the exact maximum robustness bound," says Vaibhav Mohanty, of Harvard Medical School.
"It's as if biology knows about the fractal sums-of-digits function."
The property that we will focus on in this paper is the mutational robustness ρp of a phenotype p, defined as the average probability that a single character mutation of a genotype mapping to phenotype p does not change the phenotype p. Typically larger neutral sets have higher robustness. For the (3-non-crossing [35]) RNA sequence-to-secondary structure GP map, it has been shown that the distribution of of robustness found upon random sampling of sequences accurately predicts the distribution of robustnesses for functional or non-coding RNAs found in nature [36], although for very short strands, naturally occurring RNA are marginally more robust [26]. In other words, for this system, the structure of GP map appears to largely determine the mutational robustness found in nature. Thus studying these more abstract mathematical features of the GP map may directly lead to predictions about naturally occurring phenotypes.
I've always said that interdisciplinary collaboration is what humanity needs to progress forward in the understanding of life's mysteries.
originally posted by: pthena
a reply to: quintessentone
I've always said that interdisciplinary collaboration is what humanity needs to progress forward in the understanding of life's mysteries.
It does look like a promo for inter-dip.
The age of polymath is over
The age of inter-dip super genius specialists has arrived.
Doesn't answer the question "Does the system operate just fine without human observation, or must humans observe so as to change reality in an order out of chaos sort of way?"
I don't know about any one else but that seems to be my question. I've already come to my own biased conclusion. It would be nice to get verifiable scientific proof.
Maybe the act of observing can be done differently as in using remote viewing or by psychic means, so then would this be considered observing?
Another important shared trait is that neutral sets are typically highly connected by point mutations due to a high average mutational robustness, meaning that they are likely to be fully connected, or percolate. This property hugely enhances the probability that a neutral set can be traversed by single mutational steps, allowing a much larger set of alternative phenotypes to be accessible than one could reach from a single genotype. In this way, enhanced robustness can lead to enhanced evolvability, which is the ability to discover new phenotypes
Does this mean that natural mathematical functions increase the rate of evolution?
I haven't read the whole article yet, but it looks like it?
Another interesting direction of future work would be to better understand the spectral properties of bricklayer’s graphs. These may provide insight into population distributions and average robustness on long evolutionary time scales [40,42],
originally posted by: pthena
a reply to: quintessentone
I had to skim a bit because my eyes were glazing over. Down by the end:
Another interesting direction of future work would be to better understand the spectral properties of bricklayer’s graphs. These may provide insight into population distributions and average robustness on long evolutionary time scales [40,42],
So this particular study wasn't designed to give the answer, hints for possible future study. The link 42 goes to a 1999 study.
I'm hesitant to offer hypotheses on subjects I'm not proficient at.
But what if once a large population of alpha predators exists there isn't much potential for evolution. Not much in the way of selecting for improvement.
Just a random thought.
It's like it's saying the allowance of single mutations to not change the phenotype leads to both more stability and useful natural selection.
Like if the universe had a Strong, Weak, Electromagnetic, Gravitational, and increased complexity force. Not dissimilar from increased disorder.
Thus, if entropy is associated with disorder and if the entropy of the universe is headed towards maximal entropy, then many are often puzzled as to the nature of the "ordering" process and operation of evolution
...
suffices that living systems are open systems in which both heat, mass, and or work may transfer into or out of the system. Unlike temperature, the putative entropy of a living system would drastically change if the organism were thermodynamically isolated. If an organism was in this type of “isolated” situation, its entropy would increase markedly as the once-living components of the organism decayed to an unrecognizable mass.
Entropy_(order_and_disorder)