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SCIENCE · INVESTIGATE AND EXPLAIN

Test whether migration and selection can be swapped

Gene flow moves inherited variants between populations when migrants or their gametes contribute to reproduction. Movement alone is not necessarily genetic contribution. A mixture model must define whether migrants replace residents, add to them or contribute only a fraction of the next generation.

Learning outcome: Compare both stage orders at m0.2,w2, then set m0 or w1. Identify the algebraic reason for the equality at each boundary and an observation that could discriminate the stage order in a real life cycle.

Starting recap

Distinguish population mechanisms using explicit allele, genotype, life-cycle and sampling denominators; compare conditional explanations and independent falsifying evidence.

All lessons are open directly. Your saved experiments remain when you leave and return.

Try

For m=0.2,w=2, migration first gives p=0.32 and selection then0.64/1.32=16/33≈0.48485. Selection first gives1/3; migration then0.8/3+0.16=32/75≈0.42667. The different endpoints reflect different stage histories.

Open the experiment

Predict

If both pathways use the same migration fraction and fitness ratio, must they predict the same endpoint?

Experiment

Compare both stage orders at m0.2,w2, then set m0 or w1. Identify the algebraic reason for the equality at each boundary and an observation that could discriminate the stage order in a real life cycle.

Test whether migration and selection commute

Worked teaching model · synthetic values · Haploid resident A frequency0.2 and donor0.8. Migration replaces fraction m. Selection maps p→wp/(wp+1−p). Compare the same operators in opposite orders; donor supply is external and unchanged.

Reset keeps your prediction, captures and practice history.

Causal-stage order can change a prediction even when the parameter values are identical.

Migration changes which variants selection acts upon; selection is nonlinear in frequency because contributions must be normalized. At m=0 or w=1 the two paths agree, but equality in a special case is not general commutativity.

Calculated quantities under stated assumptions
QuantityValueUnit
Migration then selection0.4848485A fraction
Selection then migration0.4266667A fraction
Order difference0.05818182fraction

Retain prior predictions, settings and quantities in the notebook. These are original supplied/calculated comparisons, not physical specimen observations or laboratory participation.

Causal-stage order can change a prediction even when the parameter values are identical.

Migration changes which variants selection acts upon; selection is nonlinear in frequency because contributions must be normalized. At m=0 or w=1 the two paths agree, but equality in a special case is not general commutativity.

Captures preserve recipes and replay their calculated results. They are synthetic model evidence, not physical measurements.

Understand

1. Orient: Test whether migration and selection can be swapped

Gene flow moves inherited variants between populations when migrants or their gametes contribute to reproduction. Movement alone is not necessarily genetic contribution. A mixture model must define whether migrants replace residents, add to them or contribute only a fraction of the next generation.

2. Explain the population mechanism

The supplied haploid model replaces fraction m of a resident population at p=0.2 with donor material at pD=0.8. The resulting frequency is M(p)=(1−m)p+mpD. Selection then applies relative reproductive weight w to A and1 to a, producing S(p)=wp/[wp+(1−p)]. The denominator makes selection nonlinear in p.

Compare S(M(p)) with M(S(p)). In the first sequence, incoming variants undergo the supplied selection stage. In the second, migrants arrive after that stage. Identical parameter labels do not imply identical causal histories. At zero migration or no selective difference the two sequences coincide, but those are special boundaries.

An endpoint comparison cannot establish the actual stage order. Marked cohort arrival, reproductive timing and independent contribution records would be needed. These are conceptual evidence requirements, not instructions to introduce organisms or manipulate a population. Donor composition is held fixed and donor demography is omitted.

3. Work a complete evidence calculation

For m=0.2,w=2, migration first gives p=0.32 and selection then0.64/1.32=16/33≈0.48485. Selection first gives1/3; migration then0.8/3+0.16=32/75≈0.42667. The different endpoints reflect different stage histories.

4. Predict and investigate

Predict first: If both pathways use the same migration fraction and fitness ratio, must they predict the same endpoint?

Compare both stage orders at m0.2,w2, then set m0 or w1. Identify the algebraic reason for the equality at each boundary and an observation that could discriminate the stage order in a real life cycle.

Retain the original population definition, first prediction, controls and full numerical ledger, including conflicting or null results. These are original bounded teaching calculations, not measured populations.

5. Transfer and explain

Apply the mechanism to a changed case

Use m=0.25,w=2 with resident0.2 and donor0.8. Calculate both stage orders.

Retain your calculation, units and assumptions in the lesson notebook before opening this public practice response.

Compare a worked response

Migration then selection: mixture0.35, selected0.70/1.35=14/27≈0.51852. Selection then migration:0.75×1/3+0.25×0.8=0.45. Migration adds variants at a different stage in the two causal descriptions.

6. Reflect and retain evidence

State a competing mechanism, an observation that would distinguish it, and a limitation of the supplied sampling or life-cycle model. Preserve first reasoning and a criterion-linked human review in the General Biology II workspace. Public practice feedback and simulated evidence do not certify an independently demonstrated comparative argument, field investigation or practical skill.

Supporting scientific reference, checked 30 October 2026. All prose, numerical packets and diagrams are original. No organism collection, culture, breeding, release, personal genetic inference or clinical procedure is requested.

Apply

Why can swapping migration and selection change the result?

Public practice checks a specific claim. It does not establish independent mastery.

Use m=0.25,w=2 with resident0.2 and donor0.8. Calculate both stage orders.

Continue

Completion requires a saved prediction, at least one capture and a reflection. Presence checks do not grade your reasoning.

Skipping retains experiments and awards no mastery.

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