Oregon Wolfe Barleys

Diversity: The Oregon Wolfe Barley (OWB) population is a resource for understanding the importance and uses of genetic diversity in plants. The population was launched at Oregon State University and we continue to coordinate and develop the resource for genetics research and instruction. Dr. Bob Wolfe developed the parents of the population by systematically crossing recessive alleles into one parent and dominant alleles into the other parent – the dominant and recessive marker stocks. The population consists of 175 barley doubled haploid progeny derived from the cross of dominant and recessive marker stocks. This website provides access to a variety of OWB resources, ranging from data to seed.

Data for analysis and exploration - Molecular marker allele cells and phenotypic data for quantitative and qualitative traits.
Images of inflorescences, seeds, and plants - High resolution images of inflorescences and seeds of the full population. Images of selected members of the population, stressing diversity and aesthetics.
Lesson plans and exercises for genetics and plant breeding - Modules on selected topics, using actual OWB data.
Publications - Bibliography of OWB and OWB-related publications.
Seeds and plants - Obtain seed and instructions for growing the population.
Who and what - Listing of researchers with their current research and instructional activities involving the OWB.

Data

Education

The Oregon Wolfe Barley lesson plans are envisioned as a “core” resource that users can tailor to specific audiences – e.g. undergraduates, graduates, professionals, etc.


Ideally, this will lead to a self-sustaining enterprise in which finished lesson plans and resources are freely shared amongst users.


Plans under development and current status



  1. Phenotypic variation

  2. Genotypic variation 1.0 posted 12/2011

  3. Linkage mapping

  4. Quantitative variation

If you would like to develop a new plan, or improve on an existing plan, please contact patrick.m.hayes@oregonstate.edu

Phenotypic variation



 

Next Section

Hypothesis testing

 Hypothesis Testing: Determining the “Goodness of Fit”

The Chi Square statistic tests "goodness of fit", that is, how closely observed and predicted results agree. The degrees of freedom that are used for the test are a function of the number of classes. This is a test of a null hypothesis: “the observed ratio and expected ratios are not different”. The general formula is:

Chi square = (O1 - E1)2/E1 +........+ (On - En)2/En

where O1 = number of observed members of the first class

E1 = number of expected members of the first class

On = number of observed members of the nth class

En = number of expected members of the nth class

As deviations from hypothesized ratios are smaller, the chi square value approaches 0; there is a good fit. If there is a poor fit of observed data to the hypothesized ratio, the chi square value is larger. Generally speaking, p values below 0.05 (i.e. 0.025, 0.01, .005) lie in the area of rejection.

Interpreting the chi square statistic in terms of probability.

1. Determine degrees of freedom (df). df = number of classes - 1.

2. Consult calculator (on web) or Table 3.1 (textbook). Know how to use the table

A. Chi square computation for a monohybrid ratio

Example: Number of kernel rows (Vrs-1/vrs-1) in barley (Hordeum vulgare).  For simplicity, vrs-1 is abbreviated as "v" in the following table.  Hypothesis is 1:1 (expectation for 2 alleles at 1 locus in a doubled haploid population)

Gametes

V

v

 

   
DH genotypes

VV

vv

     
DH phenotypes

Two-row

Six-row

     
Number

40

54

 

Phenotype

#Observed

#Expected

O - E

(O - E)2/E

VV

40

47

-7

1.04

vv

54

47

7

1.04

Totals

94

94

0

2.08 =  chi square

Prob( X^2 >= 2.08 | Degrees of Freedom=1 ) <= 0.14924. This (chi square  is well within the realm of acceptance, so we conclude that there is indeed a 1:1 ratio of two-row: six-row phenotypes (VV:vv genotypes) in the OWB population.

 

B. Chi square computation for a dihybrid ratio Detail on chi square for dihybrids. Review if you are not familiar with dihybrids and chi square calculation

 


Previous Section

Next Lesson

 

Level 2 Dihybrid Analysis

Dihybrid analysis - level 2

A.   Number of kernel rows and striped leaves in barley (Hordeum vulgare). 

Generation:

Parent 1

 

Parent 2

Genotype:

VV/WW

 

vv/ww

Phenotype:

Two-row

 

Six-row

 

Normal seedling

 

White stripe seedling

Generation:

 

F1

 

Genotype:

 

Vv/Ww

 

Phenotype:

 

Two-row

Normal seedling

 

In the OWB DH population, the expected frequencies of female gametes used to produce haploid plants are:

0.25

V W

0.25

Vw

0.25

vW

0.25

vw

After chromosome doubling, this would give the genotypic ratio:

1 VV/WW; 1 VV/ww; 1 vv/WW; 1 vv/ww

and the phenotypic ratio: 1 two-row/normal:1 two-row/white stripe: 1 six-row/normal: 1 six-row/white stripe.

B. Example: Fruit orientation and male sterility (nuclear) in pepper. 

Generation:  Parent 1  Parent 2 
Genotype:  upupmsms   up+up+MsMs
Phenotype:  Fruit upright 
Male sterile 
  Fruit hangs down 
Male fertile 
Generation:    F1   
Genotype:    up+upMsms  
Phenotype    Fruit hangs down; male fertile  
    X  
Generation   F2  
Genotypes   See below  
Phenotypes:   9:3:3:1 (see below)  

Punnett square for fruit orientation and male fertility

P1    P2 
up+up+msms  upupMsMs 
gametes    gametes 
up+ms    upMs 
     
F1  up+upMsms   
  (self fertilization)   

 

male gametes (pollen) .25up+Ms .25up+ms .25upMs .25upms
female gametes         
.25 up+Ms  .0625up+up+MsMs down/fertile  .0625up+up+Msms down/fertile  .0625up+upMsMs down/fertile  .0625up+upMsms down/fertile 
         
.25 up+ms  .0625up+up+Msms down/fertile .0625up+up+msms down/sterile .0625up+upMsms down/fertile .0625up+upmsms down/sterile
         
.25 upMs  .0625up+upMsMs down/fertile .0625up+upMsms down/fertile .0625upupMsMs up/fertile .0625upupMsms up/fertile
         
.25 upms  .0625up+upMsms down/fertile .0625up+upmsms down/sterile .0625upupMsms up/fertile .0625upupmsms up/sterile

Genotypic ratio: 1up+up+MsMs: 2up+up+Msms:1up+up+msms:2up+upMsMs:4up+upMsms:2up+upmsms:1upupMsMs:2upupMsms:1upupmsms

Phenotypic ratio: 9 down/fertile; 3 down/sterile: 3 up/fertile: 1 up/sterile.

Level 2 Dihybrid Chi Square Calculation

Dihybrid chi square calculation - level 2

Example: Fruit position and male fertility in pepper. Hypothesis is 9:3:3:1 (expectation for 2 alleles at each of 2 loci, wth complete dominance, in an F2 population)

Phenotype 

#Observed 

#Expected 

O - E 

(O - E)2/E 

down/fertile 

139 

144.6 

-5.6 

.2169 

down/sterile 

59 

48.19 

10.81 

2.4249 

up/fertile 

42 

48.19 

-6.19 

.7951 

up/sterile 

17 

16.06 

0.94 

.0550 

Totals 

257 

257 

3.49 =  chi square

Prob( X^2 >= 3.49 | Degrees of Freedom=3 ) <= 0.32206. Accept hypothesis.

Inheritance patterns

Inheritance patterns are a function of which genome the gene is found in

Nuclear ________

autosomal ________

sex-linked ________

Cytoplasmic ________

Previous Section

Next Section

 

Mendelian genetic analysis

 

Mendelian genetic analysis

Qualitative/discontinuous variation vs. quantitative/continuous variation ________

Polymorphisms ________

 

 

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Next Section

 

Autosomal inheritance

Autosomal inheritance

A. The determinants of polymorphisms are the alleles at a locus

Many alleles are possible, but there are only two per locus in a diploid individual

Mendelian genetic analysis: the "classical" approach to understanding the genetic basis of a difference in phenotype is to use progeny to understand the parents.

  • If you use progeny to understand parents, then you make crosses between parents to generate progeny populations of different filial (F) generations: e.g. F1, F2, F3; backcross; doubled haploid; recombinant inbred, etc. 
  • The genetic status (degree of homozygosity) of the parents will determine which generation is appropriate for genetic analysis and the interpretation of the data (e.g. comparison of observed vs. expected phenotypes or genotypes).
    • The degree of homozygosity of the parents will likely be a function of their mating biology, e.g. cross vs. self-pollinated.
  • Mendelian analysis is straightforward when one or two genes determine the trait.
  • Expected and observed ratios in cross progeny will be a function of
    • the degree of homozygosity of the parents
    • the generation studied
    • the degree of dominance
    • the degree of interaction between genes
    • the number of genes determining the trait

Information on DNA sequence and/or gene expression may let you look directly at differences between individuals.

Example: Vrs1 sequences

B. Monohybrid Model:

Segregation ________ 

 

Example: Number of kernel rows (Vrs-1/vrs-1) in barley (Hordeum vulgare).  For simplicity, vrs-1 is abbreviated as "v" in the following table. 

Vrs1 as phenotype: VV vv

Vrs1 as genotype: Komatsuda et al. 2007. PNAS 104:1424-1429. Read (at least) abstract and introduction.

Principles of Komatsuda et al. Mutation as a source of new alleles; genes can encode transcription factors; the basis of Mendelian inheritance can be determined.

Brewing and Vrs1 Single genes may have big effects (sometimes due only to perception)

Generation:

Parent 1

 

Parent 2

Genotype:

VV

 

vv

Phenotype:

Two-row

 

Six-row

       

Generation:

 

F1

 

Genotype

 

Vv

 

Phenotype:

 

Two-row

 

If the F1 is selfed to give an F2 generation, the genotypic ratio will be 1VV; 2Vv; 1vv and the phenotypic ratio will be 3 two-row: 1 six-row

 

V

v

 
V

VV

Vv

 

v

Vv

vv

 

In a doubled haploid (DH) population there are no heterozygotes. Thus, the expected phenotypic and the genotypic ratios are the same 1 VV: 1 vv; 1 two-row: 1 six-row. The actual numbers in the Oregon Wolfe Barley population are 40 VV and 54 vv.
Understand that DH = producing 2n plants form n gametes (male or female).

 

V

v

 
colchicine doubling      
  VV vv  

 

C. Dihybrid Model:

Segregation and independent assortment ________

Details on dihybrids: Review if you do not remember how to do 2-factor Punnet squares

 

Previous Section

Next Section

 

Genotypic variation

Genotypic variation and qualitative inheritance

Importance: There is phenotypic diversity obvious to the eye (e.g. two-row vs. six-row) and there is the underlying DNA-level diversity.  There are a number of approaches to characterizing DNA sequence diversity – from molecular markers to whole genome sequencing. No matter what the method is that is used to characterize sequence diversity, the inheritance of DNA level polymorphisms can be approached with the same tools that are used to study phenotypes showing Mendelian inheritance.  

Learning objectives:

  1. Learn how single nucleotide polymorphisms (SNPs) can lead to phenotypic differences.
  2. Understand the principles of characterizing SNPs genotyping with the Illumina platform.  
  3. Given SNP data, be able to test hypotheses regarding allele segregation and interpret the results.

The case study: VRS1 cloning and allelic diversity

Cloning VRS1 (HvHox1)

Characterizing allelic variation in multiple genotypes

  • The paper. Cuesta-Marcos et al. 2010. BMC Genomics.11:707
  • Summary of VRS1 alleles - See Table 1 in Cuesta-Marcos et al. 2010
  • VRS1 (and other) accession numbers

Inheritance of VRS1 in the OWB

Genotypic data

How VRS1 was genotyped in the OWB using Illumina SNPs

Note: The final population size reported by Cistue et al. 2011 is n = 93 + 2 parents. In the application example n = 96 because the 2 parents and one extra doubled haploid line were included in the genotyping. Details on population size are available online . 

The SNPs targeted within HvHox1

  • 12_30897 and 12_30900
  • SNP nomenclature 12_30897; 12 = BOPA-2; 3 = POPA 3; 0897 = sequential numbering

SNP genotype data in the OWB  

Locus

Observed A

Observed B

12-30897

45

48

 

The Χ2 test

Locus

Χ2 value

P value 

12-30897

0.097

0.95

 

Conclusion: Accept the null hypothesis.  Alleles (T and C) at HvHox1 (VRS1) segregate 1:1, as expected in a doubled haploid population.

 

Exercises:

This question addresses “What happens when your data do not give the results you expected.” 

1. Go to the Cistue et al. 2011 data set and download the data for locus 3_0106. 

A. Based on the data you retrieve, fill in the following table.

Locus name

# Observed

A allele

# Expected A allele

# Observed

B allele

# Expected B allele

X2 value

P value

3_0106

 

 

 

 

 

 

B. Based on these results do you, do you accept or reject your null hypothesis?

C. Cistue et al. 2011 address the issue of segregation distortion. Do the results of you chi square test provide evidence for segregation distortion at this locus? Briefly defend your answer. 

D. Possible causes of segregation distortion include sampling error and selection. Based on the proximity of 3_0106 to the Zeo locus and the information presented by Cistue et al. 2011, what do you think caused segregation distortion in this case: sampling error or selection? Briefly defend your answer.

E. Give an example of how a plant breeder could cause segregation distortion during population development to work in her/his favor.

 

This question addresses “Making decisions about how to obtain data”.

2. VRS1 can be scored as a phenotype (2-row vs. 6-row) or as a genotype (HvHox1 alleles). Go to the OWB image gallery at http://barleyworld.org/oregonwolfe/images and score the inflorescence type for the anther culture (AC) set. You may score the phenotypes as 2 or 6, but you will need to convert your scores to A and B, following the convention of the OWB population where the OWB-D allele = A and the OWB-R allele = B. Keep track of how long it takes you to obtain the 2 vs. 6 (A vs. B) data.

A. How long did it take you to obtain the inflorescence phenotype data?

B. Did you make the same allele calls using genotype and phenotype data? Briefly explain the basis of your answer.

C. Considering the time it took you to obtain the phenotype data vs. the cost of obtaining the genotype data, which technique would you use to test for the inheritance of 2-row vs. 6-row in a new and different population of 94 doubled haploid lines? In order to estimate the cost of obtaining the genotype data, assume an average of $5.00 per individual/ per allele call. This average figure is based on $1.00 for a single allele-specific assay/individual and $10.00 for genome-wide data on thousands of SNPs/individual.  

 

 This material was developed by Pat Hayes (OSU), Shiaoman Chao (USDA-ARS) and Alfonso Cuesta-Marcos (OSU)

Version 1.1. January 12, 2012 

Images

 

The Oregon Wolfe Barley infloresence image gallery currently houses the following exhibits:

OWB AC Phenotypes  These are the 93 doubled haploid lines (plus 2 parents) developed by anther culture and described by Cistue et al. 2011. Theor. Appl Genet. 122:1399-1410.

OWB Hb Phenotypes  These are the 82 doubled haploid lines (plus 2 parents) developed using the Hordeum bulbosum technique and described by Chutimanitsakun et al. 2010 BMC Plant Genomics, (2010) 12:4 

OWB AC Phenotypes

OWB Hb Phenotypes

People

Publications