gene flow

40
Day Drosera rotundifolia ... a miniscule, carnivorous sundew living in bogs in Tofino, BC.

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Plant of the Day Drosera rotundifolia ... a miniscule, carnivorous sundew living in bogs in Tofino , BC. . Gene flow. Gene flow is the transfer of genetic material between populations resulting from the movement of individuals ( migration ) or their gametes. - PowerPoint PPT Presentation

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Page 1: Gene flow

Plant of the Day

Drosera rotundifolia... a miniscule,

carnivorous sundew living in

bogs in Tofino, BC.

Page 2: Gene flow
Page 3: Gene flow

Gene flow is the transfer of genetic material between populations resulting from the movement of individuals (migration) or their gametes.

Gene flow may add new alleles to a population or change the frequencies of alleles already present

Gene flow connects the populations of a species, enabling them to evolve collectively (as a unit).

Reductions in gene flow may lead to speciation.

Gene flow

Page 4: Gene flow

• Gene flow in plants• Dispersal mechanisms• Measuring gene flow directly & indirectly• Pollen versus seed dispersal

• Gene flow and evolution• From species cohesion to speciation• The spread of beneficial alleles

• Applications• Conservation implications• Transgene escape

Gene flow: lecture outline

Page 5: Gene flow

Plants disperse their genes during two independent life cycle stages.

Pollen dispersal

Seed dispersal

Gene flow in plants

Page 6: Gene flow

Pollen dispersal agents: biotic

Solitary bee Cleopatra

butterfly

Hawkmoth Sunbird

Hummingbird

Honey possum

Thynnid wasp

Bees Lepidoptera

Other insects

Vertebrates

Blister beetle

Long-nosed bat

Tchinid fly

Beetle

Page 7: Gene flow

Water

Pollen dispersal agents: abiotic

Wind

Ragweed

Ponderosa pine

Scirpus microcarpus

Water Starwort

Page 8: Gene flow

Black bean

Animal Water

Seed dispersal agents

Wind ExplosiveDandelion

Blackberry Pond iris

Gorse

Impatiens

Page 9: Gene flow

(1) Observe movement of pollen dispersal agents• Shortcomings: may e.g. underestimate dispersal because

of pollen and seed carryover. Can’t tell if pollen is successfully incorporated into new population.

(2) Mark pollen with dyes, paint, rare earth magnets or radioactive tracers and monitor movement• Alternative: naturally polymorphic pollen.• Shortcomings: marking may affect dispersal. Can’t tell if

pollen is successfully incorporated into new population.

Measuring gene flow:direct methods

Page 10: Gene flow

(3) Track unique molecular marker from source plant(s) in progeny of nearby plants

Data from first three methods indicates that most pollen and seeds are dispersed close to source. These results suggested that gene

flow rates between plant populations were very low (< 1% per gen.).

Measuring gene flow:direct methods

Page 11: Gene flow

Leptokurtic dispersal curve in Scots Pine

4.3% seeds sired by individuals outside of the population

Robledo-Arnuncio & Gi 2005

(4) Parentage analyses: highly polymorphic markers are used to screen seeds to determine what fraction of seeds had fathers or mothers from outside the population.

Measuring gene flow:direct methods

Page 12: Gene flow

Paternity analyses suggest that populations spatially isolated by hundreds or thousands of meters are not

genetically isolated and gene flow rates often are high (> 1% per gen.)

Measuring dispersal from a source (i.e. as in Methods 1-3) misses rare, long distance dispersal events. The tails of these dispersal curves were missing.

Measuring gene flow:direct methods

How to resolve this conflict?

Page 13: Gene flow

Final caveat: all direct methods provide contemporary estimates of gene flow only and are not easily related to historical gene flow levels, which is what we really care about from an evolutionary standpoint.

Measuring gene flow:direct methods

Page 14: Gene flow

Historical gene flow can be inferred from population genetic structure (e.g. from Fst). Greater genetic differentiation implies lower gene flow and vice versa.

Statistical methods exist to relate genetic distance estimates to a parameter called Nm, which is the average number of immigrants per generation.

1 4Nm +1Fst =

Island model

Measuring gene flow:indirect methods

Wright’s Fst

Page 15: Gene flow

Caveats:1) Tells us about historical gene flow not contemporary gene flow. 2) The real world is not like the island model (assumptions of equal

population size, equal contributions to migrant pool, no spatial structure, everything is at equilibrium, no selection, and no mutation all are violated in all species).

Thus, indirect estimates must be viewed with caution.

Nm is a critical value because it tells us how much gene flow is required to overcome the effects of genetic drift.

Nm > 4 gene flow winsNm < 1 genetic drift wins and populations divergeNm between 1 and 4 (neither prevails)

Measuring gene flow:indirect methods

Page 16: Gene flow

Indirect estimates of gene flow in plants(Hamrick and Godt,1996)

SelfingSpecies

Mixed-Mixed-MatingMatingSpeciesSpecies

OutcrossingOutcrossingSpeciesSpecies

Nm = 0.24Nm = 0.24 Nm = 0.90Nm = 0.90 Nm = 1.43Nm = 1.43Nm=0.24 Nm=0.90 Nm=1.43

Selfers Mixed maters OutcrossersHamrick and Godt 1996

Measuring gene flow:indirect methods

Page 17: Gene flow

Pollen versus seed dispersal

• Most direct estimates of gene flow measure pollen dispersal only

• Indirect estimates measure both, but do not discriminate between them.

Page 18: Gene flow

Direct estimates from parentage analyses have generally documented fairly high rates of seed immigration rates, ranging from 2.1% in honey locust to 40% in Magnolias Contribution of seed dispersal to overall gene flow can be estimated by comparing levels of interpopulational differentiation (e.g.Fst or Gst) for maternal versus biparentally inherited genes

Chloroplast and mitochondrial are typically inherited maternally in plants, whereas nuclear genes are inherited through both parents.

Pollen versus seed dispersal

Page 19: Gene flow

Ratios of pollen to seed flow from indirect measures (i.e., Gst or Fst) range from 4 (for selfing annual, wild barley) to 400 for wind-pollinated sessile oak.

wild barley

Pollen versus seed dispersal

Page 20: Gene flow

CONSERVATIVE ROLE (emphasized by Mayr): Prevents differentiation due to random processes (i.e. genetic drift) unless the number of migrants (Nm) between populations is < 1 per generation.

Prevents adaptive genetic differentiation if m>s.

CREATIVE ROLE: Enables the spread of favorable mutations.

Evolution and gene flow

Page 21: Gene flow

Traditional View:• Species held together by gene flow

Opposing View (Ehrlich and Raven, 1969):• Species-wide gene flow is too low • Populations are the units of evolution• Species are merely aggregates of evolving units

Gene flow: unifying effects

How strong is gene flow in nature?

Page 22: Gene flow

0

0.1

0.2

0.3

0.01 0.1 1 10 100 1000Nem

Freq

uenc

y

PlantAnimal

Conclusion: in many species, gene flow is not high enough to prevent differentiation at neutral loci.

Morjan & Rieseberg 2004

Gene flow: unifying effects

Page 23: Gene flow

Common sunflower, Helianthus annuus, and its primary dispersal agent

Prehistorical range of common sunflower

Gene flow: how favorable mutations are spread

Page 24: Gene flow

Advantageous mutation

Strength of selectionS = 0.10

Number of migrantsNm = 1

Generation0

Generation0

Near neutral mutation

Strength of selectionS = 0.0001

Number of migrantsNm = 1

Spread of mutant alleles across the range of a widespread species

Page 25: Gene flow

Advantageous mutation

Strength of selectionS = 0.10

Number of migrantsNm = 1

Generation50

Generation50

Near neutral mutation

Strength of selectionS = 0.0001

Number of migrantsNm = 1

Spread of mutant alleles across the range of a widespread species

Page 26: Gene flow

Advantageous mutation

Strength of selectionS = 0.10

Number of migrantsNm = 1

Generation500

Generation500

Near neutral mutation

Strength of selectionS = 0.0001

Number of migrantsNm = 1

Spread of mutant alleles across the range of a widespread species

Page 27: Gene flow

Generation10,000

Near neutral mutation

Strength of selectionS = 0.0001

Number of migrantsNm = 1

Spread of mutant alleles across the range of a widespread species

Page 28: Gene flow

Generation50,000

Near neutral mutation

Strength of selectionS = 0.0001

Number of migrantsNm = 1

Spread of mutant alleles across the range of a widespread species

Page 29: Gene flow

Generation100,000

Near neutral mutation

Strength of selectionS = 0.0001

Number of migrantsNm = 1

Spread of mutant alleles across the range of a widespread species

Page 30: Gene flow

Generation200,000

Near neutral mutation

Strength of selectionS = 0.0001

Number of migrantsNm = 1

Spread of mutant alleles across the range of a widespread species

Page 31: Gene flow

< 100100 - 10001000 - 10000> 10000

0.450.20.10.050.010.001

0.1

1

10

10

100

1000

10000

100000

1000000

Fixa

tion

time

Nm0.5

2

1

< 100100 - 10001000 - 10000> 10000

Time to fixation of beneficial mutations in a stepping-stone model

Selection coefficientConclusion: Gene flow is high enough in virtually all species to allow spread of advantageous mutations, if not neutral ones.

Time to fixation of a beneficial allele in a stepping stone model

< 100100 - 10001000 - 10000> 10000

Data from Slatkin 1976

Page 32: Gene flow

Small populations become inbred more rapidly than large populations

outbred inbred

Gene flow reduces inbreeding depression:migration rates into small populations are higher than into large populations

Gene flow: implications for conservation

Page 33: Gene flow

Gene flow may create heterosis or 'hybrid vigour,' which is manifested as increased size, growth rate or other parameters resulting from the increase in heterozygosity

Hybrid corn Hybrid sunflower

Gene flow: implications for conservation

Page 34: Gene flow

Gene flow between species (or hybridization) may result in outbreeding depression or genetic assimilation

Reduced pollen viability in interspecific hybrids

Gene flow: implications for conservation

Page 35: Gene flow

Example of genetic assimilation:Catalina Island Mahogany

Rieseberg et al. 1989

Gene flow: implications for conservation

Page 36: Gene flow

Gene flow from crop plants into their wild relatives may lead to

the escape of engineered genes.

Prevalence of Crop x WildHybridization

YesSorghumYesSugar CaneYesCottonYesSunflowerYesBarleyNoGroundnutYesSoybeanYesRapeseedYesMaize

YesCommonBean

YesRiceYesMilletYesWheat

Ellstrand et al. (1999)

Gene escape is inevitable for most crops.

Gene flow: implications transgene escape

Page 37: Gene flow

Bt protein Cry1Actoxic to Lepidopteran Insects

Suleima helianthana Sunflower Bud Moth (stem/developing bud)

Plagiomimicus spumosum(developing bud; > 50% seed loss)

Gene flow: implications transgene escape

Page 38: Gene flow

Experimental Design• backcrossed Bt transgene into wild background• planted backcross plants that segregated for transgene at

two localities• compared fitness of plants with or without transgene

Page 39: Gene flow

Bt-/F Bt-/SBt+/S

damage in Nebraska Cochylis

0

0.10

0.15

0.05

NS

**

Cochylis damage in Colorado

0

0.10

0.15

0.05

Bt-/F Bt-/SBt+/S

***

Seeds per plant in Nebraska Seeds per plant in Colorado

Bt-/F Bt-/S Bt+/S Bt-/F Bt-/S Bt+/S0

800

1200

400 ***

0

1600

2400

800

NS

*

RESULTS:55% more seeds in NE 14% more seeds in CO

Snow et al 2003

Gene flow: implications transgene escape

Page 40: Gene flow

Bt transgenes are highly advantageous and will spread rapidly into wild sunflower populations.

– Decisions on environmental release should be made on a case-by-case basis.

– Consideration of the potential ecological impacts should be made.

Transgenes: conclusions