Mitochondrial DNA can come from both parents
arstechnica.com
arstechnica.com
I was taught differently in 1998.
There was the press coverage of: https://en.wikipedia.org/wiki/Lucy_(Australopithecus) which was referenced in a scene of https://www.imdb.com/title/tt2872732/
It can be said that it's a plot twist that was stoked for decades.
I was an undergrad, which still puts us both above the vast majority in education.
Wait... I thought that the reason mtDNA came from your mother is that the egg from your mother forms your first cell and the sperm only delivers DNA into the nucleus. They cytoplasm all comes from your mother. In that cytoplasm swims your mother's mitochondria.
I assumed when I started reading this article that maybe somehow mitochondria from the sperm sneaks out into the cytoplasm of your initial cell.
Is that understanding not correct?
That shouldn't be too surprising. It seems logical that evolution would find a way to prepare a baby to be born into an highly-food-constrained environment so their metabolism will be more conserving of resources.
What really is surprising (at least to me) is that the child's propensity has been observed to be passed down even to the grandchild.
BUT: the microbiome, as well as the immune system, are closely linked to the “physical” mother.
Would love to pick your brain if you have the time :)
It helps to have bio knowledge but biotech really just needs a lot more software tools. There's a lot of low-hanging fruit for automation and analysis. There's a hell of a lot of room for people smarter than me to innovate.
There's a ton of room for improvement in the privacy area. You can read what I'd said about that in previous [0] comments [1]. I very strongly disagree with some types of industry standard software [11] [12]. They're highly sensitive to input and timing and contribute to reproducibility problems in the industry.
I think that's a problem which plagues the industry right now: reproducibility. I can't speak for the UK (where your profile says you're from) but in the USA the FDA (in charge of medicine) recently had a "truth challenge" [3]. In it, participants were asked to analyse the same set DNA data. Nobody got the same answer and very few even got consistent answers [4]. That's Very F@#$ing Scary if you ask me since the DNA data starts with just text files [5] [6]. So irreproducibility of results is solely due to poorly designed software (and I can discuss at length about that if you want).
If you want to stay in computer science, then tackle that. A lot of the industry is based off of BWA [7] and GATK [8]. They're nowhere near as bad as IMPUTE2 or Admixture, but they're highly sensitive to parameter changes (and every analysis company uses different parameters). There are other open-source analysis tools as well but they're nowhere near as popular. There's of course not-so-open-source tools too which I don't feel like mentioning (I work on one such software as an internal tool for the company).
On a different note, one of the problems that underpins this whole technology is the way "Next Generation Sequencing" works: shear your DNA into small fragments so that sequencing machines can analyse each fragment in parallel (in contrast to linearly through the strand before it was cut up) [9]. Then the software analysis tools try to re-assemble all those pieces back into a single fragment.
If you were to take this comment and cut it up into words and sentence fragments, would you be able to reassemble the words back into the correct post? Of course not. So that's very much a limiting factor to analysis [10].
Realistically this forum is not ideal for communication. I looked at your profile but did not see a way to contact you. But feel free to contact me at the email in mine. I don't check it often though :)
[0] https://news.ycombinator.com/item?id=18196717 [1] https://news.ycombinator.com/item?id=16754393 [3] https://precision.fda.gov/challenges/truth [4] https://precision.fda.gov/challenges/truth/results-explore [5] https://en.wikipedia.org/wiki/FASTA_format [6] https://en.wikipedia.org/wiki/FASTQ_format [7] http://bio-bwa.sourceforge.net/ [8] https://software.broadinstitute.org/gatk/ [9] https://en.wikipedia.org/wiki/DNA_sequencing#High-throughput... [10] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4531809/ [11] https://mathgen.stats.ox.ac.uk/impute/impute_v2.html [12] http://software.genetics.ucla.edu/admixture/
I can't see your email either, so I assume the profiles don't publish them. You can reach me at mike at <username>.net however.
1996 paper on paternal mtDNA inheritance: http://www.pnas.org/content/93/24/13859.full
2002 paper on paternal mtDNA inheritance: https://www.newscientist.com/article/dn2716-mitochondria-can...
Wikipedia's been updating this article since 2006: https://en.wikipedia.org/wiki/Paternal_mtDNA_transmission
This is a drastic and totally implausible statement that is not supported by any serious geneticist, nor by the Wikipedia article you've linked to.
mtDNA does not have to come exclusively, 100%, no-exceptions-ever from the mother, in order for population research which uses to be valid! 99% is quite sufficient. It is at least 99.9% accurate: as the Wikipedia article helpfully points out, there are 1000x as many mitochondria in an egg as in a sperm.
mtDNA can be used to track lineages. It's the dating of when branches occurred that is off because it assumes all differences are due to mutations and not paternal contributions.
With normal DNA the crossover add some changes and in particular it mix the changes in one branch of the tree with the changes in the other branch of the tree, so it's not longer a tree.
So my guess is that it will not change the dates too much, specially since he dates are calibrated by historical events. With made up numbers, something like "we know that this population reach here 10000 years ago and has 37 changes and that population reach there 20000 years ago and has 69 changes. This other population has 53 changes so after some complicated math, we estimate that they split 15000-1600 years ago.
I guess that the size of the population at the bottlenecks will be slightly reduced, because IIUC they are not calibrated using historical data but using some mathematical models about how the size of the population affect the diversity. I don't expect a big change nevertheless.
The rate of mutation is already not a constant, and so such dating is always approximate, there is a margin of error.
If you wish to demonstrate that it is now "completely off" and "invalid", try harder. I call shenanigans.
I don't think checksum is a fair metaphor for anything happening in biological systems.
> Most mtDNA between humans is the same
And most DNA is also the same. A percent difference is the kind of thing that would require millions of years of divergence to develop.
> mtDNA is only 16,569 base pairs long
This is really not so precise. There will be a mixture of lengths due to insertions and deletions, even in the same individual, even in the same cell.
> The differences between mother and child are almost always due to the father's contribution, and not to mutations.
Do you have a citation for this?
[1] Sequence and organization of the human mitochondrial genome (1981). https://www.nature.com/articles/290457a0
Even if you assume that the 100% of the mitochondria comes from the mother, there are well known cases of mother that have a mix of normal and defective mitochondria and the children have a similar mix of normal and defective mitochondria. In this case the variation of the proportion of the normal and defective mitochondria between the mother and the children can cause that some of them get a worse version of a desease.