It looks like you're using an Ad Blocker.
Please white-list or disable AboveTopSecret.com in your ad-blocking tool.
Thank you.
Some features of ATS will be disabled while you continue to use an ad-blocker.
Fitness (often denoted w in population genetics models) is a central idea in evolutionary theory. It can be defined either with respect to a genotype or to a phenotype in a given environment. In either case, it describes the ability to both survive and reproduce, and is equal to the average contribution to the gene pool of the next generation that is made by an average individual of the specified genotype or phenotype. If differences between alleles of a given gene affect fitness, then the frequencies of the alleles will change over generations; the alleles with higher fitness become more common. This process is called natural selection.
As there are so few possible mutations resulting in the fittest phenotype in red, the odds of this mutation are a mere 0.15%. The odds for the slightly fitter mutation in grey are 6.7% and so this is far more likely to fix
Read more at: phys.org...
and is equal to the average contribution to the gene pool of the next generation that is made by an average individual of the specified genotype or phenotype
gosseyn
So what they are saying is that quantity prevails over quality. When you have 100 not so good mutations and only one "perfect" mutation, the one perfect mutated organism is very likely to survive, but a certain % of the 100 others "not perfect" will also survive and reproduce. Thus today on our planet, a great % of all the existing genetic material is the offspring of those "not perfect" organisms. Am I right ?
That's communism !!!
But seriously, what does that say about us humans ? In which category do we fit ? The quantity or the quality ? What about consciousness ? And what about those great tools that we call hands ? What about language ?
I don't think extinction, or death, should be factored into determining the control mechanism of evolution,as you cannot evolve, if you are dead.
Death is a number and not a function and thus should not be factored in.
If you want to argue that they don't know the definition of "fit" then I suggest you take it up with them, the academic body they associate with, and those who peer reviewed their study before they published it.
Of course one always needs to be careful because these models inevitably include simplifying assumptions in order to make them tractable. In our calculations we include difference in rates of the arrival of variation, something not traditionally taken into account in population genetics. But our models so far only apply to fairly simple examples of molecular evolution. Much more work is needed before we could claim that these effects are also important for more complex phenomena such as the evolution of animal behaviour.
Read more at: phys.org...
The many orders of magnitude difference in the arrival rate of variation between phenotypes should have many important implications for evolutionary dynamics. Consider for example the situation where the population has equilibrated to a phenotype (q), which was the fitness peak, when subsequently the environment changes so that a different phenotype (p) has a higher fitness (1+s). In order to fix, the alternative phenotype must first be found.
If the time-scale (Te) on which the environment changes again is much longer than (Tp) then it likely that the population will discover and fix (p). However, if (Te [[ Tp) , then a new phenotype (p') may become more fit before (p) has time to fix. (Tp) can vary over many orders of magnitude, so many potentially highly adaptive phenotypes may satisfy (Tp]Te) and thus never be found.
In the example above, the difference in discovery times between (p1) and (p2) is rather modest, and so at large enough mutation rates (p2) is found fairly regularly and free-fitness could be used to analyse results in that regime. But as can be seen for instance in Figure 2 for L= RNA, differences in discovery times can vary over many more orders of magnitude than is the case for our particular example, so that in practice highly adaptive yet rare phenotypes may not be discovered at all, even on very long timescales.
ChaoticOrder
reply to post by Bleeeeep
Death is a number and not a function and thus should not be factored in.
A mass extinction event is analogous to a function which dramatically alters the number of individuals in the population, and in doing so it very much reduces the level of genetic variance in the population, and that change plays a large role in how the species will continue to evolve.
boncho
I hadn't read the paper yet, at that time I was just going off the Q&A.
In any case, peer review means it is supported by peers. A single paper does not answer questions, and it still allows many others to elaborate or expand on whatever is being proposed (which then too is peer reviewed before a major shift). In this case, they do not have supporting evidence and they state as such. They are doing predictive modelling, it's all theoretical and the data they are basing it on very simple life. And they actually state in the paper that survival of the fittest applies, only that because of environmental factors it's possible to see something else arise (survival of the prevalent (only under the right conditions)) With zero environmental influence, phenotypes that are fittest are still found.
Boncho are you admitting that you were arguing and making a fuss challenging the study without ever reading it? Because that is what I think I just read from your statement.
They are clearly stating that the model is not supporting the simple "survival of the fittest" prediction.
Environmental factors are the only reason survival of the fittest would apply and you are simultaneously using it to justify that the survival of the prevalent is a non factor when it is the driving force of both.
We show, using the RNA model, that frequent phenotypes (with larger F p ) can fix in a population even when alternative, but
less frequent, phenotypes with much higher fitness are potentially accessible. In other words, if the fittest never ‘arrive’ on
the timescales of evolutionary change, then they can’t fix. We call this highly non-ergodic effect the ‘arrival of the frequent’.