The genome diversity of major crops tells the story of their evolution
phys.org
phys.org
> "The research team generated transcriptomes — DNA sequences of all of the genes expressed by an organism — for 342 grass species and whole-genome sequences for seven additional species."
https://www.psu.edu/news/eberly-college-science/story/new-mo...
This does allow analysis of very complex but desirable traits like drought tolerance, which involve a great many genes, but sorting through these huge volumes of data to ascertain which gene variants are the most important is challenging at best.
Seems like a promising task for LLMs.
You could fine-tune or train your own model on the data and then design the prompt / query interface to give you interesting results.
If you go back to the original Transformer paper, the goal was to translate a document from one language to another. In all prompt systems the model is only given "past" tokens (as it's generating new tokens in real time) but in that original paper the LLM can use backwards and forward context to determine the translation.
Just saying the architecture of how a model is trained and how it outputs tokens is less limited than you think.
But just to circle back on junk DNA—-most of it is non-functional baggage—-the result of our constant battles with viruses and replication errors.
So, like the middle managers for the genome.
Now as far as assemblies what is interesting there, we never sequencing the human genome . What we did was sequence a lot of the human genome "except for the hard parts, seems impossible". Well in the past few years the T2T projects has successfully sequenced the whole dang thing. Just because something is "hard" or "more repetitive" don't mean ain't nothing interdasting in dere.
This really sours the whole edifice of 20th C. 'genetic statistics' (, heritability, etc.) -- and puts well into light the eugenicist origins of frequentist statistics itself, and the vast amount of pseudoscience it's given rise to.
Yet, popsci, and many research areas have yet to catch up.
Children are still taught there are such things as dominant traits, and genes for eye colour, etc. Yet we've no idea of the full genetics of eye colour.
I would say this "golden age" is more a discovery of how everything we have previously believed is BS.
This degree of overlap is entirely expected and accepted and has been for many decades before fully genome sequence gave us hard numbers.
Can you clarify your second paragraph? Heritability is not a controversial topic but if you are saying the estimates are often abused, then I definitely will agree.
There are clearly dominant traits (and recessive traits). Huntington’s disease is the canonical example. If a student does not understand Mendelian genetics first they will not be able to understand complex quantitative genetics.
Your last statement is extreme. Do you also think that all of Newtonian physics is BS and should not be taught to kids.
See, e.g., https://slatestarcodex.com/2019/05/07/5-httlpr-a-pointed-rev... for an analysis of one such case.
As far as mice and people: there arent enough genes for there to be "genes for traits" given the difference of traits between mice and people.
I also take heritability to be quite controversial, since what is the point of the covariance of genes with traits across populations? In almost all cases this isn't informative of anything.
I also don't think we teach children that mass can be arbitrarily large, nor velocities arbitrarily high, etc. -- ie., the false parts of newtonian mechanics arent taught; and the remainder serves as a useful toolset for model construction.
The idea that we have genes for traits is simply false.
The headlines that read “Discovery of Gene X for Autism, Intelligence, Prostate Cancer, even Religiosity”
are definitely crude and wrong click-bait.
Regarding heritability: Almost all of us in genetics use heritability as an operation measure of how difficult it will be to uncover the often large set of DNA variants that modulate trait variation. Since I am now trying my best to map DNA variants that modulate lifespan I need to know how hard I am going to need to work and what same size I will need.
See this recent paper:
https://pubmed.ncbi.nlm.nih.gov/36173858/
Turns out we will need about 25000 mice to do a good job. And our result will depend strongly on the quirky environment in which we raise our mice; almost equally quirky as human environments, but not as noisy and plagued by as much disease and warfare!
Almost all of us in the field of quantitative genetics know that heritability is strongly dependent on environmental context. There is no heritability for nicotine addiction in a world with no nicotine. This message gets lost in translation—why we seem to recursively fight pointless nature-nurture battles.
> I also take heritability to be quite controversial, since what is the point of the covariance of genes with traits across populations? In almost all cases this isn't informative of anything
This problem becomes compounded in the extreme if there's any environmental modulation of the trait-gene relationship.
Consider that a scottish accent is nearly 100% heritable: it entirely covaries with genes (localized in scotland), but is 0% inheritable. Suppose eye colour is 100% inheritable, but a product of 100 gene interactions, which have substantial geographical localization. You could easily find a case where heritability of eye colour was 0%, but inheritability 100%.
Heritability is a dumb metric for charlatans anyway, even in a simplified trait-gene world -- but in the actual world we live in, >99% of its uses constitute pseudoscience.
It was originally invented for working in agriculture where population were under genetic control by experimenters -- here the covarience is actaully causally indued by experiment, forcing a much simpler and deterministic relationsihp between genes and traits. In basically all other cases it's meaningless.
Eye color and hair color have been studies pretty intensively and they definitely have models which are more complex than "if you have value Y at position 37 of gene X, you have blue eyes". The way it's normally stated is that we can explain 50% of the heritance of eye color using a limited set of SNPs.
What we don't have is a comprehensive model of how complex phenotypes arise from genotypes. This is only because of historical oversimplification, and partly because the underlying causality of phenotypes is remarkably sophisticated due to a combination of many factors, overlapped with enormous amounts of noise and confounding factors.
That's all very nice, but can you predict eye color from a genetic test with reasonable confidence?
That a very simple question and the answer is apparently a resounding no.
https://pubmed.ncbi.nlm.nih.gov/32488945/
https://www.science.org/doi/10.1126/sciadv.abd1239
The second study demonstrates that more than 50% of variance in eye pigmentation can be explained by simple additive effects.
“ We identify 124 independent associations arising from 61 discrete genomic regions, including 50 previously unidentified. We find evidence for genes involved in melanin pigmentation, but we also find associations with genes involved in iris morphology and structure. Further analyses in 1636 Asian participants from two populations suggest that iris pigmentation variation in Asians is genetically similar to Europeans, albeit with smaller effect sizes. Our findings collectively explain 53.2% (95% confidence interval, 45.4 to 61.0%) of eye color variation using common single-nucleotide polymorphisms.”
Hardly a resounding no.
Adding FUD doesn't help. There are perfectly knowable things to teach kids —
- Blue-eyed parents have blue-eyed kids.
- Brown eyed parents have brown-eyed kids, if they are homozygous.
- Sometimes, two brown-eyed parents have recessive alleles! But it's rare!
- A blue-eyed parent and a brown eyed parent will have ~50% blue-eyed children
You don't have to 100% characterize all hazel and green shades to capture most of the state of knowledge. These are 99.9% true. You're just trying to cast doubt on an increasingly well-understood field, akin to people trying to pick apart climate change research.
"Genetics" isn't just "protein coding genes". Nor do genomes being X% similar mean the organisms must be X% similar.
Sure, if that were different, so would be the climate. But the climate is severely under-determined by that composition -- if you drive it by a different sun, a different meteor strike, etc. it would be radically different.
Take the same genome and biochemically intervene on the conception, pregnancy, development, etc. of an animal. My claim would be that for a wideclass of such interventions the very same genes will do radically different things, producing quite different kinds of animal.
Likewise, after birth, different ecologies will make significant differences/etc.
Denying this is basically being a creationist.
DNA is the machine code, but you need a compatible computer to run it.
That human DNA produces a human when in a human cell doesn't mean the rest of the cell is carrying significant amounts of information, just that that's the environment in which the DNA has evolved to operate.
To say, "because of the chemical composition of the mountain" is, at the very least, foolish.
Organic lifeforms are self-modifying clays that are pressed into environmental moulds. Genes play both a far more complex, and far simpler role, in this than the mid-20th C. eugenicist biological science supposed. A pseudoscience that still predominates in how people think about genes, and in many downstream research areas (eg., https://slatestarcodex.com/2019/05/07/5-httlpr-a-pointed-rev... )
Whether and when a gene gets expressed is everything. The non-coding part of the DNA quite often plays a role in that, as do many other factors.
Non-protein-coding genes are still genes.
> Children are still taught there are such things as dominant traits, and genes for eye colour
I'm 90% sure you've got some motte-and-bailey definitions going on here. Dominant traits as commonly defined are plentiful, e.g. various skin issues.
https://mastodon.social/@UP8/112780705488252948
which I think is usually ahead of it's time but the genetics unit seems backwards in that it doesn't say a word about molbio and has the same experiments were you observe the same few phenotypes that are sorta-kinda described by Mendelian inheritance, not telling you that those are the only ones, that we can't trust Mendel's lab notebook with the peas, etc.
"Personal Genomics" in the sense of 23 and me has been a wash. For one thing the SNP approach is limited in what it can do, but even if you had a real sequence teasing out the personal variation in terms of Genes x Environment can only go so far. What's interesting to me about genomics is the things that are the same and can be understood to a great deal mechanistically such as all of us Eukaryotes sharing a common "operating system" in terms of the machinery of protein synthesis, cell division and such. Hundreds of genes are known that affect diseases such as asthma, diabetes and schizophrenia and even if a polygenic risk score is possible a doctor is going to give a person with a high risk score the same advice as a person with a low risk score and give the same tests (fasting glucose, A1C) except maybe he ought to be a little more emphatic to the high risk person and the high risk person should take it more seriously.
(For that matter my experience with animals leads me to think animals are much more the same as us than different even when it comes to things like intelligence and communication. My belief was confirmed when my stray cat, "Bob B" seemed to understand that his path to a better life went through me when after 2 1/2 months of stonewalling me he got quite articulate in terms of using his "voice" and gestures such as pointing at the window and door to indicate he wants to go out, pointing at the TV and having an expression that seemed like disapproval, etc. I think these behaviors are basically intrinsic to mammals and birds if not some reptiles. You can certainly learn to communicate with animals better but a lot of it is instinctual)
Whoa. I think your wording works more accurately observing previous beliefs are only a subset of a bigger picture, and are at times context dependent in such bigger pictures.
So forgetting scientific studies for the moment: if you just walk around in a city, is that apparent to you? Do you think, "Wow, there sure are a lot of different types of people here?"
My answer to your question would be a qualified no.
You'll see more phenotypical diversity walking around New York than Nairobi thanks to globalization.
With that said, the qualification I'd put on that is that if I consciously think about what region of the world I've seen the most variation in body plan/portions and facial geometry, I'd probably pick East Africa. You do do encounter pretty much the full spectrum of shapes human beings come in.
I will also say that I remember being surprised by how much variation in body shape I saw in China. Maybe this is pure western ignorance but I had an idea in my mind about what the average Chinese person looked like and I found myself having to adjust my expectations in ways I have no had to do anywhere else.
The last thought I'd leave you with is that you absolutely should make it a priority to visit East Africa. Kenya in particular is where I always tell people to go but Uganda, Rwanda, Ethiopia are all good options. It far exceeded my expectations.
Stay out of Nigeria though lol
There actually are electric fields in nature that can get pretty strong sometimes. My undergrad school was New Mexico Tech which has a strong atmospheric physics program so one of our senior lab projects was
https://en.wikipedia.org/wiki/Field_mill
which demonstrates the principle of turning a DC signal into an AC signal which can be more readily measured and introduces the powerful
https://en.wikipedia.org/wiki/Lock-in_amplifier
So I have a pretty good picture of how you measure environmental fields but not how you apply them. Do you put a net over the crop and charge that up?
1. https://patentimages.storage.googleapis.com/d9/34/04/3395571... 2. https://patentimages.storage.googleapis.com/1c/60/8d/4ddfe08...