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Population genomics: Do we really need theory? Population genomics: Do we really need theory?

Population genomics: Do we really need theory? - PowerPoint Presentation

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Population genomics: Do we really need theory? - PPT Presentation

Fred Allendorf or Cant we answer all of our questions by just generating more data 1 For many decades empirical population genetics lagged far behind theory developed by Sewall Wright RA Fisher JBS Haldane etc ID: 687321

theory population amp ibd population theory ibd amp data loci fis empirical expected individuals pedigree genome proportion people analysis

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Slide1

Population genomics:Do we really need theory?

Fred Allendorf

or

Can’t we answer all of our questions by just generating more data?

1Slide2

For many decades, empirical population genetics lagged far behind theory developed by Sewall Wright, R.A. Fisher, J.B.S. Haldane, etc.Slide3
Slide4

Empirical data

Theory & models

Analysis & interpretation

1920-1970: The early yearsSlide5

Empirical data

Theory & models

Analysis & interpretation

1971-2000: The golden yearsSlide6

Empirical data

Theory & models

Analysis & interpretation

2000-present: The “

omic

” yearsSlide7

Chinook salmon in the Columbia RiverSince not one example of gene frequency has been published for the population in question, a hypothetical (although realistic) model will have to suffice.Ray Simon 1972Genotyped 1,956 individuals at 19,703 loci from 56 sample sites2015

7Slide8

Four million genotyped fish and counting: What we’ve learned about genetic stock identification in salmonids. Lisa Seeb8Slide9

First and foremost, we needed population geneticists. These are geneticists who study DNA sequence variation in a species or a population and, from this, infer what happened to these species or population in the past. They can tell when populations split, whether they exchanged genes, and whether selection acted upon them.9Slide10

New printing available for $

55 at Amazon.com

1970Slide11

Available online for free

We have the same situation in population genomics. People have vast amounts of data and do completely half-ass things with it because they don’t know any better. And, I wish there was some way of persuading people that we need to train students in the development and properties of the methods.  And that means population genetics. Slide12

Felsenstein’s timeline of population genetics12Slide13

I am constantly appalled to see people go through the motions of performing HW and LD tests, reporting the results, and then completely ignoring them, even when significant deviations are found.  Few people know how to properly interpret multiple testing results, and most seem to have lost track of why it is essential to do these tests before using the data for other analyses.2015Slide14

FIS for 14,000 SNPs in two elk population samples (Luikart et al.)14Slide15

Inbreeding: Confusion between FIS and pedigree F FIS is not an estimate of the mean pedigree F of individuals.A high mean F is expected in small random mating populations because all individuals will be closely related, but the expected FIS is 0. In fact, FIS is expected to be <0 in very small populations because of allele frequency differences between males and females.

201615Slide16

“Filtering loci out of HW proportions will remove all loci under selection.” Anonymous genomicistPapers use LDNE to estimate Ne in population samples known to have LD from sources other than drift (e.g., hybridization). 16Slide17

blue - traditional

red – “genomics” Slide18

Genomic measures

Pedigree

F

2016

18Slide19

Identical by descent (IBD) chromosome tracts

=

F

 

Runs of Homozygosity

19Slide20

Single pair of chromosomes from Swedish collared flycatcherH = Proportion of heterozygous SNPs in 10Kb windows

~20 Mb, IBD tractEllegren et al., 2012, NatureKawakami et al., 2014, Mol

Ecol

Proportion of the genome IBD can be measured

with

incredible accuracy & precision

using whole

genome

sequences

with a good assembly!

20Slide21

We thus pass from apoint-theory to a strand-theory. 1965 R.A. Fisher21Slide22

The proportion of the genome IBD varies greatly even between full sibs! Pedigree F = 0.25They have all the same “Coefficient of Inbreeding”, but differ in the extent of homozygosity. R.A. Fisher (1965, p. 97)

22Slide23

Expected proportion of the genome IBD in progeny from the last two wolves. 23Slide24

Length distribution of IBD segments from common ancestor 2, 5, and 10 generations back2gens5gens10gensRoH also provide information about the time since the inbreeding event (Fisher 1965).24Slide25

The Wrangel Island mammoth has 20% less heterozygosity than the Oimyakon mammoth.

25Slide26

Wrangel Island mammothOimyakon mammoth: RoH23.3%0.83%26Slide27

Comparison of individuals allows estimation of Ne over time.

IBD

27Slide28

Polyploid salmonid fishes (Allendorf et al. 2015)28Slide29

Centromere Centromere 1 co~50%0 co~50%

19832015(10 loci)

(3,496 loci)

29Slide30

Thank you!

30