Other ways populations change: drift, gene flow and mutation

Grade 9 Science Worksheet - Challenge Me

NameDate

Circle the best answer.

  1. Read this first

    A meadow after a model flood, then after seeds arrive from the source meadow (model data)

    groupallelesR allelesp for R
    source meadow2,0001,0000.5
    survivors of the flood4080.2
    seeds arriving from the source meadow60300.5
  2. After a model flood, seedlings from the source meadow join the survivors. Ari recomputes p for R. What is the new p, and what happened to the gap from the source meadow's p?

    • 0.38, and the gap to the source meadow shrank from 0.30 to 0.12
    • 0.50, and the gap to the source meadow closed completely to 0
    • 0.38, and the gap to the source meadow grew because seedlings add differences
    • 0.35, the average of 0.2 and 0.5, with the gap shrinking to 0.15
  3. Three runs of a 10-plant population (20 alleles) when no allele helps survival (model data)

    generationrun 1: R allelesrun 2: R allelesrun 3: R alleles
    0101010
    23167
    40206
    602010
  4. Kira sees that three runs ended far apart, yet the end counts average to 10, the starting count. What explains this?

    • Drift moved each run up or down by chance, so the changes cancel on average
    • Drift pulls each population back toward half R over time
    • The table must have an error, since runs from one start should end alike
    • Selection raised R in one run and lowered it in another, keeping the average
  5. A meadow before and after a model flood that favored no allele (model data)

    whenplantsallelesR allelesp for R
    before the flood1,0002,0008000.40
    after the flood1020130.65
  6. R and W plants were equally likely to remain after a model flood. Luz sees p for R rise from 0.40 to 0.65. Why did p change?

    • R mutated more often during the flood, which raised p to 0.65
    • A sample of 10 plants should match the original p, so the table must have an error
    • The 10 remaining plants were a chance sample, so p can differ from the original
    • R plants were better at surviving the flood, so p rose
  7. Use the table

    Allele V in a population of 1,000 plants (2,000 alleles) when each V plant leaves 1.5 times as many surviving young (model data)

    generationV alleles of 2,000
    01
    1056
    201,249
    301,979
  8. Mutation made allele V once, in generation 0. Milo sees V grow from 1 copy to 1,979. Mutation is rare, so what explains the growth?

    • Gene flow brought V in from other populations over time
    • V plants left more surviving young, so selection raised V after the one mutation
    • Mutation made new V alleles in many plants each generation, so the share of V kept growing
    • Drift pushed V upward each generation until V was common
  9. Notebook

    Notes on two model runs (classmate's notebook), 4 lines. Columns: line, entry. Line 1: Population A has 10 plants and population B has 1,000 plants; no allele helps survival. Line 2: R fell from 10 to 0 of 20 alleles in A, and stayed near 1,000 of 2,000 in B. Line 3: So drift steadily removes the less useful allele from small populations. Line 4: Chance moves A more because one plant is a larger share of its gene pool.

  10. Pia reads a classmate's notebook about two model runs. Which line has the mistake?

    • Line 2: R cannot fall to 0 when no allele helps survival
    • Line 1: a model run needs the same number of plants in both populations to compare them
    • Line 3: drift is chance, not a steady removal of the less useful allele
    • Line 4: one plant is the same share of both gene pools
  11. Notebook

    Notes on a model flood (classmate's notebook), 4 lines. Columns: line, entry. Line 1: A meadow of 1,000 plants held alleles R, W and Y; a model flood left 8 plants. Line 2: The flood favored no allele, so the 8 plants were a chance sample. Line 3: So the 8 plants must still hold all three alleles in the same shares. Line 4: Regrowth adds plants but not the alleles the 8 plants did not carry.

  12. Ren reads a classmate's notebook about a model flood. Which line has the mistake?

    • Line 4: a population that regrows regains the alleles it lost
    • Line 3: a small sample can lose alleles and change their shares
    • Line 2: a flood that favors no allele cannot leave a chance sample
    • Line 1: a meadow of 1,000 plants cannot hold three alleles
  13. Notebook

    Notes on two meadows and wind-carried seeds (classmate's notebook), 4 lines. Columns: line, entry. Line 1: Meadow 1 had p = 0.7 for R with 500 alleles; meadow 2 had p = 0.1 with 300 alleles. Line 2: Wind carried seeds with 100 alleles, 70 of them R, from meadow 1 into meadow 2. Line 3: After the seedlings joined, meadow 2 had 100 R among 400 alleles, so p = 0.25. Line 4: So gene flow made the meadows more different, since meadow 2 changed.

  14. Tala reads a classmate's notebook about two meadows and wind-carried seeds. Which line has the mistake?

    • Line 2: 100 alleles with 70 R alleles would give p = 0.07
    • Line 3: 100 R alleles among 400 alleles gives p = 0.4, so the stated 0.25 is a miscount
    • Line 1: 300 alleles at p = 0.1 hold 3 R alleles, not 30
    • Line 4: gene flow made the meadows more alike, as the gap fell from 0.6 to 0.45
  15. A mainland meadow and a new island population started by 4 seeds (model data)

    placeallelesR allelesp for R
    mainland meadow1,0006000.6
    island founders820.25
  16. Zee reads the table. Which claim and reason fit it?

    • The island differs from the mainland, since 4 founders were a small chance sample
    • The island differs, since mutation changed R to W on the way
    • The island matches the mainland, since the founders are a small copy of the whole meadow
    • The island differs, since the island favors W over R in each seed
  17. One plant leaves no seedlings in two populations (model data)

    populationplantsallelesalleles from that plantshare of the gene pool
    small102020.1
    large1,0002,00020.001
  18. Esme reads the table. Which claim and reason fit it?

    • Both populations keep the same alleles, since a smaller group is a copy of a larger one
    • Chance changes the large gene pool more, since it has more plants to lose
    • Chance changes the small gene pool more, since one plant is a larger share of it
    • Chance moves both gene pools toward the better allele, since the weaker plant is lost
  19. Alleles found in two meadows before and after seeds from meadow 1 arrive in meadow 2 (model data)

    meadowbefore the seeds arriveafter the seeds arrive
    meadow 1R, W, YR, W, Y
    meadow 2R, WR, W, Y
  20. Noah sees allele Y appear in meadow 2 after wind carries in seeds from meadow 1. Which claim and reason fit the table?

    • Gene flow brought Y and made the meadows less alike, since new alleles add differences
    • Mutation made Y in meadow 2, since mutation is common in each generation
    • Genetic drift made Y in meadow 2, since chance creates new alleles
    • Gene flow brought Y and made the meadows more alike, since Y is now in both
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Other ways populations change: drift, gene flow and mutation

Answer Key - Grade 9 Science Worksheet - Challenge Me

Circle the best answer.

  1. Read this first

    A meadow after a model flood, then after seeds arrive from the source meadow (model data)

    groupallelesR allelesp for R
    source meadow2,0001,0000.5
    survivors of the flood4080.2
    seeds arriving from the source meadow60300.5
  2. After a model flood, seedlings from the source meadow join the survivors. Ari recomputes p for R. What is the new p, and what happened to the gap from the source meadow's p?

    • 0.38, and the gap to the source meadow shrank from 0.30 to 0.12
    • 0.50, and the gap to the source meadow closed completely to 0
    • 0.38, and the gap to the source meadow grew because seedlings add differences
    • 0.35, the average of 0.2 and 0.5, with the gap shrinking to 0.15
  3. Three runs of a 10-plant population (20 alleles) when no allele helps survival (model data)

    generationrun 1: R allelesrun 2: R allelesrun 3: R alleles
    0101010
    23167
    40206
    602010
  4. Kira sees that three runs ended far apart, yet the end counts average to 10, the starting count. What explains this?

    • Drift moved each run up or down by chance, so the changes cancel on average
    • Drift pulls each population back toward half R over time
    • The table must have an error, since runs from one start should end alike
    • Selection raised R in one run and lowered it in another, keeping the average
  5. A meadow before and after a model flood that favored no allele (model data)

    whenplantsallelesR allelesp for R
    before the flood1,0002,0008000.40
    after the flood1020130.65
  6. R and W plants were equally likely to remain after a model flood. Luz sees p for R rise from 0.40 to 0.65. Why did p change?

    • R mutated more often during the flood, which raised p to 0.65
    • A sample of 10 plants should match the original p, so the table must have an error
    • The 10 remaining plants were a chance sample, so p can differ from the original
    • R plants were better at surviving the flood, so p rose
  7. Use the table

    Allele V in a population of 1,000 plants (2,000 alleles) when each V plant leaves 1.5 times as many surviving young (model data)

    generationV alleles of 2,000
    01
    1056
    201,249
    301,979
  8. Mutation made allele V once, in generation 0. Milo sees V grow from 1 copy to 1,979. Mutation is rare, so what explains the growth?

    • Gene flow brought V in from other populations over time
    • V plants left more surviving young, so selection raised V after the one mutation
    • Mutation made new V alleles in many plants each generation, so the share of V kept growing
    • Drift pushed V upward each generation until V was common
  9. Notebook

    Notes on two model runs (classmate's notebook), 4 lines. Columns: line, entry. Line 1: Population A has 10 plants and population B has 1,000 plants; no allele helps survival. Line 2: R fell from 10 to 0 of 20 alleles in A, and stayed near 1,000 of 2,000 in B. Line 3: So drift steadily removes the less useful allele from small populations. Line 4: Chance moves A more because one plant is a larger share of its gene pool.

  10. Pia reads a classmate's notebook about two model runs. Which line has the mistake?

    • Line 2: R cannot fall to 0 when no allele helps survival
    • Line 1: a model run needs the same number of plants in both populations to compare them
    • Line 3: drift is chance, not a steady removal of the less useful allele
    • Line 4: one plant is the same share of both gene pools
  11. Notebook

    Notes on a model flood (classmate's notebook), 4 lines. Columns: line, entry. Line 1: A meadow of 1,000 plants held alleles R, W and Y; a model flood left 8 plants. Line 2: The flood favored no allele, so the 8 plants were a chance sample. Line 3: So the 8 plants must still hold all three alleles in the same shares. Line 4: Regrowth adds plants but not the alleles the 8 plants did not carry.

  12. Ren reads a classmate's notebook about a model flood. Which line has the mistake?

    • Line 4: a population that regrows regains the alleles it lost
    • Line 3: a small sample can lose alleles and change their shares
    • Line 2: a flood that favors no allele cannot leave a chance sample
    • Line 1: a meadow of 1,000 plants cannot hold three alleles
  13. Notebook

    Notes on two meadows and wind-carried seeds (classmate's notebook), 4 lines. Columns: line, entry. Line 1: Meadow 1 had p = 0.7 for R with 500 alleles; meadow 2 had p = 0.1 with 300 alleles. Line 2: Wind carried seeds with 100 alleles, 70 of them R, from meadow 1 into meadow 2. Line 3: After the seedlings joined, meadow 2 had 100 R among 400 alleles, so p = 0.25. Line 4: So gene flow made the meadows more different, since meadow 2 changed.

  14. Tala reads a classmate's notebook about two meadows and wind-carried seeds. Which line has the mistake?

    • Line 2: 100 alleles with 70 R alleles would give p = 0.07
    • Line 3: 100 R alleles among 400 alleles gives p = 0.4, so the stated 0.25 is a miscount
    • Line 1: 300 alleles at p = 0.1 hold 3 R alleles, not 30
    • Line 4: gene flow made the meadows more alike, as the gap fell from 0.6 to 0.45
  15. A mainland meadow and a new island population started by 4 seeds (model data)

    placeallelesR allelesp for R
    mainland meadow1,0006000.6
    island founders820.25
  16. Zee reads the table. Which claim and reason fit it?

    • The island differs from the mainland, since 4 founders were a small chance sample
    • The island differs, since mutation changed R to W on the way
    • The island matches the mainland, since the founders are a small copy of the whole meadow
    • The island differs, since the island favors W over R in each seed
  17. One plant leaves no seedlings in two populations (model data)

    populationplantsallelesalleles from that plantshare of the gene pool
    small102020.1
    large1,0002,00020.001
  18. Esme reads the table. Which claim and reason fit it?

    • Both populations keep the same alleles, since a smaller group is a copy of a larger one
    • Chance changes the large gene pool more, since it has more plants to lose
    • Chance changes the small gene pool more, since one plant is a larger share of it
    • Chance moves both gene pools toward the better allele, since the weaker plant is lost
  19. Alleles found in two meadows before and after seeds from meadow 1 arrive in meadow 2 (model data)

    meadowbefore the seeds arriveafter the seeds arrive
    meadow 1R, W, YR, W, Y
    meadow 2R, WR, W, Y
  20. Noah sees allele Y appear in meadow 2 after wind carries in seeds from meadow 1. Which claim and reason fit the table?

    • Gene flow brought Y and made the meadows less alike, since new alleles add differences
    • Mutation made Y in meadow 2, since mutation is common in each generation
    • Genetic drift made Y in meadow 2, since chance creates new alleles
    • Gene flow brought Y and made the meadows more alike, since Y is now in both