Count alleles without confusing a census and a sampling model
Evolutionary population change concerns inherited variation across generations, not an individual changing its genotype because conditions demand it. A population must be defined in space, time and reproductive context before a frequency has a useful denominator. Samples from different life stages or locations may represent different populations rather than a temporal evolutionary trajectory.
Learning outcome: Compare AA30/Aa40 with AA40/Aa20. Reconstruct every allele count and compare observed with expected heterozygosity. Identify a biological sampling unit and explain why pooled siblings cannot automatically justify the independent-copy sampling SD.
Starting recap
Distinguish population mechanisms using explicit allele, genotype, life-cycle and sampling denominators; compare conditional explanations and independent falsifying evidence.
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Try
Among100 individuals with30 AA,40 Aa and30 aa, A copies=60+40=100 of200, so p=0.5. Observed heterozygosity0.4 differs from random-union expectation0.5. Independent200-copy sampling SD is sqrt(0.25/200)≈0.03536, but that independence is an additional model assumption.
Open the experimentPredict
If heterozygotes decrease while the two homozygote classes increase equally, must allele frequency change?
Experiment
Compare AA30/Aa40 with AA40/Aa20. Reconstruct every allele count and compare observed with expected heterozygosity. Identify a biological sampling unit and explain why pooled siblings cannot automatically justify the independent-copy sampling SD.
Separate genotype census from a sampling model
Worked teaching model · synthetic values · Exactly100 diploid individuals, with aa=100−AA−Aa. No sex linkage, missing genotypes or copy-number variation. Binomial sampling comparison treats independent allele draws, not an arbitrary clustered diploid sample.
Reset keeps your prediction, captures and practice history.
Count two allele copies per diploid individual, but do not confuse an expected genotype distribution with the observed census.
The sampling SD assumes independent allele draws; relatedness, stratification, missingness and genotype-dependent detection can invalidate it. A difference from Hardy–Weinberg proportions is evidence to investigate, not a unique evolutionary diagnosis.
| Quantity | Value | Unit |
|---|---|---|
| AA count | 30 | individuals |
| Aa count | 40 | individuals |
| aa count | 30 | individuals |
| A frequency | 0.5000000 | alleles/alleles |
| Observed heterozygote fraction | 0.4000000 | individuals/individuals |
| Random-union expected heterozygote fraction | 0.5000000 | fraction |
| Independent 200-allele sampling SD | 0.03535534 | frequency |
Retain prior predictions, settings and quantities in the notebook. These are original supplied/calculated comparisons, not physical specimen observations or laboratory participation.
Count two allele copies per diploid individual, but do not confuse an expected genotype distribution with the observed census.
The sampling SD assumes independent allele draws; relatedness, stratification, missingness and genotype-dependent detection can invalidate it. A difference from Hardy–Weinberg proportions is evidence to investigate, not a unique evolutionary diagnosis.
Captures preserve recipes and replay their calculated results. They are synthetic model evidence, not physical measurements.
Understand
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Public practice checks a specific claim. It does not establish independent mastery.
A sample has20 AA,60 Aa and20 aa. Calculate p(A), observed heterozygosity and random-union expected heterozygosity.
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