By MyGeneLog Team · Updated September 7, 2026 · 34 views · For classrooms
What this is. A ready-to-run genetics lesson, free to use and adapt in any school, college or university. Nothing to buy from us, no account, no data collected from anyone.
In 1931 a chemist called Arthur Fox was working with a powdered compound at a DuPont laboratory. Some of it escaped into the air. A colleague across the room complained about the bitter taste. Fox, who was closer to it, tasted nothing at all.
Most people would have shrugged. Fox went and got more of the compound, and started asking everybody he could find to taste it. Some people recoiled. Others could not tell it from a blank strip of paper. It ran in families.
That compound was phenylthiocarbamide — PTC — and the argument that started across that laboratory is still going on, ninety-five years later. Your class can join it in the next forty minutes.
A note on the story: this account is repeated in a great many textbooks and we have not been able to check it against the original record. Treat it as the story the field tells about itself, which is a useful thing for students to notice in its own right.
Before you run it. Use commercially prepared test papers from a science supplier and follow their instructions — never make a solution yourself. Check your institution's own policy first. Nobody should be pressed to take part, and a student who would rather not can do the counting, which is the more interesting job anyway.
And this one really matters. Do not record who tasted what against anybody's name, and do not ask students about their families. A taste result is a piece of somebody's genetics. Counting a room is a lesson; a list of names is a record about children that nobody needs and nobody should keep.
The first thing to notice is the shape. Almost everything you can measure about a class — height, reaction time, how long anyone can hold their breath — makes a single hill: a lot of people in the middle, fewer at each end. This does not. It makes two hills with a valley between them.
That shape is why anyone went looking for a gene. A trait that splits people into two groups is behaving as if something switch-like is behind it, and for seventy years the explanation was the simplest one available: one gene, two alleles, tasting dominant over not tasting.
It is not one gene with two alleles. It is one gene with three variable positions in it, and they are inherited together as a block.
The gene was finally found in 2003. It codes for a bitter taste receptor, and it has three places where the DNA differs between people, each changing one amino acid. Those three positions are close together and travel as a unit — a haplotype — and worldwide there are five of them, of which two are common.
So what a person actually inherits is two haplotypes, one from each parent. Two working copies and the paper is unbearable. Two non-working and it tastes of paper. One of each, and you get the students in the middle — the group the one-gene-two-alleles version has nowhere to put.
The 2003 paper reported that these haplotypes account for between 55% and 85% of the variation in how strongly people taste PTC. That number is worth putting on the board on its own. It is very high for human genetics. It is also not 100%, and the missing part is a real question, not a rounding error.
Your class will not match any of those bars, and the reasons why are the best discussion in this lesson.
The bars are a prediction, calculated from allele frequencies using Hardy–Weinberg — and calculated from only one of the three positions, because that is the one with clean public frequency data. The real trait uses all three.
And a class is a small sample. Thirty people is not a population. If your class comes out at 20% when the prediction says 33%, that is roughly what you should expect from thirty coin flips, and demonstrating that to a class that has just produced the number themselves is worth more than any worksheet on sampling error.
Here is the question nobody has settled, and it is a good one to end on because the class can argue about it with the same information the researchers have.
Why do non-tasters still exist? Bitterness is a warning system — a lot of plant poisons are bitter. A broken warning system ought to be selected against. And yet every human population that has ever been tested contains people who cannot taste PTC, at substantial frequencies. Something has kept the non-working version around.
The long-standing answer was balancing selection: the non-working version must be good for something, perhaps letting people eat foods that tasters reject, so both versions survive.
Then in 2016 a study of 5,589 people from 105 populations looked for the signature that natural selection leaves in DNA. It found evidence of something ancient — older than modern humans leaving Africa — but nothing since. Its conclusion was that the modern pattern is explained mostly by where people went and who they had children with, not by selection favouring one version.
That is a genuinely open argument, published in an open-access journal your students can read. Ask them which they find more convincing, and what evidence would settle it. There is no answer at the back of this book.
2. The control strip. Some students report a taste from expectation alone, and the plain strip is what exposes that. If nobody in your class does it, say so — that is also a result.
4. Dominance is not wrong, it is incomplete. Two working copies really do behave differently from one, so the trait is closer to incomplete dominance when you measure intensity rather than yes/no. The "dominant" version survived because early studies recorded a yes or a no, and a faint taste got written down as a yes.
5. Linkage. Because the three positions travel together, they behave like a single unit when you look from the outside, so a trait controlled by three things can look like a trait controlled by one. This is the general idea of a haplotype and it is worth naming.
6. Plenty of good answers: the two rarer haplotypes, differences in how many taste buds people have, age, smoking, whether they had just eaten, measurement error in the reporting itself. The testable ones are the good ones.
7. Sample size first — thirty people is a small sample and the swing is large. Then: the bars come from one position out of three; and the population labels in a reference dataset are a rough grouping, not a description of any actual class.
8. √0.334 ≈ 0.58, so a non-taster allele frequency near 58%. Assumptions include random mating, no selection, no migration, no mutation, and an infinite population — none of which is true of anywhere.
10. The honest answer is: some of it is wrong, we do not know which parts, and the way to find out is the method rather than the memorising. Most students have never been told this directly and it tends to land.
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Commercially prepared taste-test papers from a science supplier are made for exactly this and come with instructions — follow those, and check your own institution's policy first. Never make up a solution yourself. Nobody should be pressed into taking part; a student who would rather not can run the counting.
It works from about 13 through first-year undergraduate. The activity does not change; the questions are in three graded sets, and the stretch set assumes Hardy–Weinberg.
Two reasons, and both are the lesson. The chart is a prediction from allele frequencies at one of the three relevant positions, not a count of tasters. And a class is a small sample — thirty people swing a long way from any expected value, which is worth demonstrating with coins straight afterwards.
Incompletely. Two working copies of the receptor behave differently from one, so when you measure how strong the taste is rather than whether there is one, you get three groups and not two. The dominant/recessive version survived because early studies wrote down a yes or a no.
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No, and they should not have one. The whole lesson runs on a paper strip and a show of hands. Do not record results against names — counting a room teaches the genetics; a list of who has which allele is a record about children that nobody needs.