population structuring Flashcards

1
Q

what do adaptive markers tell us

A

specific processes underlying and driving genetic population structuring

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

abiotic factors that cause genetic structuring

A
  • physical separation by distance or barriers (mountains, rivers) followed by genetic drift
  • environmental factors
  • environmental change
  • habitat fragmentation
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

biotic factors causing genetic structuring

A
  • life history traits (migratory behaviour, fecundity)
  • dispersal potential (flight)
  • evolutionary pressures: population bottlenecks + expansions (founder effect)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

what is genetic drift

A

a mechanism which allele frequencies of a population change over generations due to chance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

what 2 things can occur to an allele due to genetic drift

A

extinction of alleles and fixation of others (100% freq)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

what kind of population experiences genetic drift the greatest

A

small populations

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

what is the founder effect

A

a small group of individuals breaks off from larger population, establishing a colony
new colony isolated from original
‘new’ gene pool is reflective of founding individuals
allele frequencies can be drastically different from prior population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

what is a genetic bottleneck

A

extreme example of genetic drift occurring when pop is severely reduced

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

what happens to allele freq in a genetic bottleneck

A

can be significantly different from prior population
many alleles extinct

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

what sample size is considered ‘standard’

A

30

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

what is the Wahlund effect

A

He always exceeds Ho when randomly mating, differentiated subpopulations are merged
e.g. populations may mix in feeding ground but return to own mating ground, populations not actually mixed

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

what are some things that need to be considered when choosing a genetic marker

A

neutral or non-neutral
mitochondrial or nuclear
variability - does it need to ID individuals
sequencing technology to be used (Sanger, NGS)
cost

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

HWE dependent genetic analysis methods:

A

traditional pop structuring (FST)
clustering analysis
detection of markers out of HWE - outliers

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

HWE independent genetic analysis methods:

A

PCA, DAPC

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

when does linkage disequilibrium occur

A

if genes don’t assort independently, no recombination during meiosis (genes can’t be inherited independently)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

when is linkage disequilibrium more likely to occur

A

if genes are close together on same chromosome or a sex linked

17
Q

what is K

A

how many genetic groups or clusters are contained in the data

18
Q

what does resolving K ‘with priors’ mean

A

analysis is run using presumed structure, often using original sample ID

19
Q

what does resolving K ‘without priors’ mean

A

analysis is run without known sample ID

20
Q

what is Oft and when is it used

A

adapted version of Fst useful for DNA sequence data

21
Q

what is Rst

A

modified for stepwise mutation model - microsatellites

22
Q

how are permutations calculated

A

the expected scenario of panmixia, compare actual Fst with expected panmixia scenario

23
Q

what is global Fst

A

overall Fst value for all your samples

24
Q

what is the role of Bayesian clustering

A

is used to test how many population clusters there are, run different K values until units are identified clearly

25
Q

what is PCA

A

statistical method for exploring and making sense of datasets with a large number of measurements (dimensions)
reducing number of dimensions to principal components that explain main patterns

26
Q

what is the importance of transforming the data using PCA and then performing discriminant analysis

A

ensures all variables are non correlated, removing all linkage issues

27
Q

DAPC function constructs synthetic variables, what is the goal of this

A

maximise variation between groups before placing individuals as coordinates

28
Q

what 3 demographics can be revealed

A
  • population expansion + contraction
  • migration / gene flow
  • sex ratios