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The world leader in serving science Angela Burrell 9 July 2019 Development of targeted GBS panels for breeding and parentage applications in dogs

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Page 1: Development of targeted GBS panels for breeding and ......Development of targeted GBS panels for breeding and parentage applications in dogs. 2 •We recognize that there is a need

The world leader in serving science

Angela Burrell9 July 2019

Development of targeted GBS panels for breeding and parentage applications in dogs

Page 2: Development of targeted GBS panels for breeding and ......Development of targeted GBS panels for breeding and parentage applications in dogs. 2 •We recognize that there is a need

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• We recognize that there is a need for a robust, repeatable, and

unambiguous workflow needed for canine parentage and genetic trait

testing.

• We developed two targeted sequencing panels, one for canine

parentage/ID verification and one for canine genetic defect/trait

identification.

• The AgriSeq Canine SNP Parentage & ID Panel

• The AgriSeq Canine Traits & Disorders Panel

• Utilizes the AgriSeq workflow

Background

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• Evaluated performance of two panels:

• 1. AgriSeq Canine SNP Parentage and ID Panel* (A43407)- 381 markers

• 2. AgriSeq Canine Traits and Disorders Panel* (A43406)- 154 markers

Panels

Panel SNPs MNPs Insertions Deletions

Parentage & ID 379 0 0 2

Panel SNPs MNPs Insertions Deletions

Traits & Disorders 97 6 13 38

*For Research Use Only. Not for use in diagnostic procedures

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AgriSeq Sequencing Workflow

AgriSeq Canine SNP Parentage & ID Panel and/or AgriSeq Canine Traits

& Disorders Panel addition.

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•Three general experiments were performed to

validate performance of each of the canine panels.

• 1. Orthogonal Testing Evaluation of panel accuracy.

• 2. Robustness Testing Evaluation of panel consistency.

• 3. Field Sample Testing Evaluation of panel performance.

Experimental Overview

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Experiment 1: Orthogonal Testing

• Purpose: To confirm that genotypes generated with the

AgriSeq workflow were accurate by testing with a separate,

orthogonal technology.

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Orthogonal Testing Workflow- Canine Parentage & ID

Orthogonal Testing

AgriSeq Panel

Canine Parentage: 381 Markers

Canine Defect: 154 Markers

Axiom Array

Canine Parentage: 354 Markers*

Canine Defect: 47 Markers**

CE Sequencing

Canine Parentage: 39 Markers*

Canine Defect: 115 Markers**

Canine Parentage: *12 markers were tested with both the Axiom Array and CE Sequencing.

Canine Defect: **8 markers were tested with both the Axiom Array and CE Sequencing.

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• Of the 381 markers tested, >99% of genotype calls were

concordant with AgriSeq calls.

• *3 discordant markers by Array were tested by CE. CE

Results for these markers matched AgriSeq results.

Canine Parentage and ID Orthogonal Testing

Orthogonal

Method

# Concordant

Markers to GBS

# Discordant

Markers to GBS# No Calls Concordance

CE Sequencing 36 0 3>99%

Axiom Array 349 3* 2

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• 5 markers that were unable to be genotyped by CE testing

due to poor sequencing quality and were omitted from

calculations

• Of the 149 markers that were able to be genotyped by an

orthogonal method, concordance to the AgriSeq workflow

was 100%.

Canine Traits & Disorders Orthogonal Testing

Orthogonal

Method

# Concordant

Markers to GBS

# Discordant

Markers to GBS# No Calls Concordance

CE Sequencing

Only 102 0 5

100%Axiom Array Only 39 0 0

Both CE and Array 8 0 0

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Experiment 2: Reproducibility and Repeatability

• Purpose: To test workflow robustness and genotype

call consistency through multiple replicate reactions

of a panel of samples.

• 12 DNA samples were tested in replicates of n=64 using

the AgriSeq workflow for a total of 768 barcoded libraries.

• Each library pool was sequenced twice on a 540 and 550

chip.

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• Replicate genotype concordance was calculated.

• Both panels had >99.9% replicate concordance for all

sequencing chips.

Repeatability and Reproducibility

Mean Genotype Concordance:

540 Kit: 100.0% +/- 0.1%

550 Kit: 100.0% +/- 0.1%

Mean Genotype Concordance:

540 Kit: 99.9% +/- 1.5%

550 Kit: 99.9% +/- 1.0%

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Experiment 3: Field Sample Performance

• Purpose: To determine panel performance with a

diverse set of sample.

• Tested panel of 180 samples (oral swabs) in replicates

(n=2) with each panel of the AgriSeq workflow.

• 1ng/rxn DNA was input into library prep.

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• >180 diverse canine oral swab DNA field samples with the AgriSeq

workflow.

• The mean call rate for the Canine Trait/Disorders panel was 99.1% and

the mean call rate for the Canine Parentage panel was 99.2%.

Sample Call Rates

0

10

20

30

40

50

60

70

80

90

100

0 20 40 60 80 100 120 140 160 180

Sa

mp

le C

all

Ra

te %

Sample Number

Canine Traits/Disorder Field Sample Call Rate

Mean Sample Call Rate 99.1% +/- 1.5%

159 Markers

0

10

20

30

40

50

60

70

80

90

100

0 20 40 60 80 100 120 140 160 180

Sa

mp

le C

all

Ra

te %

Sample Number

Canine Parentage ID Field Sample Call Rate

Mean Sample Call Rate 99.2% +/- 1.8%

381 Markers

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• Read uniformity

measures how evenly

you are covering target

amplicons with reads.

• Low uniformity (<90%)

can lead to marker drop-

off and poor call rates.

• The mean read

uniformity for both

panels was excellent,

even when testing a set

of very diverse field

samples (>98%).

Read Uniformity

Panel Mean Uniformity stdev

Canine

Parentage/ID

99.3% 0.4%

Canine

Trait/Defect

98.2% 0.7%

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• AgriSeq library prep kit and canine GBS panels combine into

a robust and efficient workflow for canine genotyping

applications.

• Orthogonal Concordance >99.9

• Mean Field Sample Call Rate >99%

• Replicate Genotype Concordance >99.9%

Conclusions

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Visit Thermo Fisher Scientific (booth #1) to learn about:

Experience the power of AgriSeq with 2 Enabling Options

See more - from STRs to SNPsGBS EASY Jump Start bundles

Free genotyping of your sample using

AgriSeq GBS Panels

Acknowledgements:

R&D TeamRick Conrad

Michelle Swimley

Chris Willis

Bioinformatics TeamPrasad Siddavatam

Krishna Gujjula

Haktan Suren

Chunchao Zhang

Extended TeamStacie Bush

Srinivas Chadaram

Mike Garguilo

Bruce Lau

Betsy Parker

Ravi Ramadhar

© 2019 Thermo Fisher Scientific Inc. All rights reserved. All trademarks are the property of Thermo Fisher Scientific and its subsidiaries unless

otherwise specified.