ista’s position, experience and activities in the field of biotech trait detection ista gmo tf...

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ISTA’s Position, Experience and Activities in the Field of Biotech Trait Detection ISTA GMO TF B.R. Kahlert S. Grégoire, C. Haldemann, K. Remund, J.L. Laffont and many others International Seed Testing Association

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ISTA’s Position, Experience and Activities in the Field of Biotech Trait Detection

ISTA GMO TF

B.R. Kahlert

S. Grégoire, C. Haldemann, K. Remund, J.L. Laffont

and many others

International Seed Testing Association

Outline

What is ISTA?

ISTA and of GM Seed Testing

Accreditation

Proficiency Tests

Performance Data Evaluation

Audit

ISTA can help, ISTA helps to share

Workshops, Seedcalc, Website

Objectives of the International Seed Testing Association

• The primary purpose of the Association is to develop, adopt and publish standard procedures for sampling and testing seeds, and to promote uniform application of these procedures for evaluation of seeds moving in international trade.

• The secondary purposes of the Association are actively to promote research in all areas of seed science and technology, to participate in conferences and training courses aimed at furthering these objectives, and to establish and maintain liaison with other organisations having common or related interests in seed.

More than:• 160 laboratories,• 200 personal members, • originating from 70 countries supporting the

association (Government mandates)  

ISTA: Laboratories Worldwide

ISTA’s major Products & Services

• International Rules for Testing Seed– Sampling, Purity, Other Seeds, Germination,

Tetrazolium, Seed Health, Species and Variety Testing, Moisture, Coated Seed, Vigour, X-ray

– seeds of agricultural & vegetable; flowers, spice, herb & medicinal; tree & shrubs

• Proficiency Test Programme • Laboratory Accreditation Programme• International Seed Lot Certificates

ISTA’s Vision & Strategy inTesting of GM Seeds

• ISTA Seed Testing Laboratories are competence centres for detection, identification and quantification of GM seeds

• ISTA focuses its activity on developing and maintaining a system that ensures reliability and accuracy of results all over the world, when testing for GM seeds – Performance Based Approach

defined in the Position Paper:

ISTA’s Strategy Regarding Methods for the Detection, Identification and Quantification of Genetically Modified Seeds in Conventional Seed Lots

adopted by the Executive Committee Nov. 2001

ISTA’s Actions in Testing of Seed with Specified Trait(s)

1. Chapter in ISTA Rules for testing of seeds with specified trait(s)

2. Implementation of Laboratory Accreditation under Performance Based Approach

3. Organising proficiency tests on detection and quantification of GM seeds in conventional seed

4. Establishing a system for Performance Data Evaluation for the Presence of Seed with Specified Trait(s) in Seed Lots and Specified Trait Purity

5. Provide technical help for the laboratories (training courses, workshops, Seedcalc7, ...)

1. Chapter in the ISTA Rules

• Rules for the testing of seeds with specified traits including the detection, identification and quantification of GM seeds came into force in February 1st, 2006

• The Rules do not contain specific methods, but define the general principles in testing and reporting results of such tests

• Laboratories having methods for GM seed testing in their scope of accreditation can report the test results on the International Seed Analysis Certificate

2. Conditions for ISTA Accreditation under the Performance Based Approach

Laboratory ...• Has established method(s)• Defines scope of accreditation• Participates successfully in the ISTA Proficiency

Test Programme• Submits performance data• Has an audit

3. Organisation of Proficiency Tests

AIMS• to evaluate the performance of participating

laboratories• to collect data to be used to set performance

standards• To increase experience for ISTA and participating

laboratories

Satisfactory performance in proficiency tests is a prerequisite for attaining or maintaining the status as an accredited laboratory

Laboratories can participate to ISTA proficiency tests, even if they do not seek accreditation

Design of the 6th Proficiency Test

• crop: Brassica napus L.• # of samples per lab: 10• # of negative samples: 3• # of positive samples: 7

0.3%: 20.6%: 31.2%: 2

• event: GT73• sample size: 3300 seeds• Qualitative and Quantitative tests• the laboratory chooses the method

Qualitative Test: The detection of GM seeds in samples

49 labs classified each of the 10 samples as either positive or negative.

4 laboratories reported false results. These are 8% of the laboratories.

Sample classified as false...

98

147

97

342

147

489

1

1

2

4

8

12

0% 20% 40% 60% 80% 100%

1.2% GM seeds

0.6% GM seeds

0.3% GM seeds

Positive samples

Negative samples

All samples

% of samples tested

# of samples reported as false

2.4%5.4%1.2%2.0%0.7%1.0%

Sub-sampling Quantification

Laboratory’s estimated results and its mean

Es

tim

ate

of

% G

M

se

ed

s

12 laboratories reported the test plan...

• the size of sub-samples (in number of seeds)

• the number of sub-samples tested

• the number of positive sub-samples

used to compute the result

Labs# of sub-samples

size ofsub-sample

1 ~300 102 ~90 30

3, 4 ~30 ~1105, 6 20-25 ~1507, 8 15 210-220

9, 10, 11 5-10 330-55012 2-3

Spiking level 0.3% Spiking level 0.6% Spiking level 1.2%

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

2.2

2.4

2.6

2.8

3.0

1 2 3 4 5 6 7 8 9 10 11 12

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

2.2

2.4

2.6

2.8

3.0

1 2 3 4 5 6 7 8 9 10 11 12

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

2.2

2.4

2.6

2.8

3.0

1 2 3 4 5 6 7 8 9 10 11 12

Quantitative Test

23 laboratories reported the GM content of the positive test samples in % of GM seed by number or by mass or in % DNA copies

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

2.2

2.4

2.6

2.8

3.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23

% G

M s

ee

ds

Spiking level (%) Mean (%)

Standarddeviation

Variationcoeff.

0.3/0.33 0.38 0.22 59%0.6/0.67 0.80 0.40 50%1.2/1.35 1.57 0.90 58%

Summary PT06

PT06 - Qualitative Results:• The percentage of laboratories reporting correct

results for all samples is higher as in the previous tests

• >90% of labs made no missclassification, • >97% of samples are reported correctly

PT06 - Quantitative Results:• The results show similar variation for the the spiking

level (VC = ~50%)• Most laboratories overestimated the true level

Design of the ISTA Proficiency TestsPT01 PT02 PT03 PT04 PT05 PT06

# of samples per lab

30 10 12 12 12 10

negative 12 3 3 3 3 3 positive 18 7 9 9 9 7

0.1% - - - 3 - -0.2% - - 3 - 2 -0.3% 20.5% - - - 3 3 -0.6% 30.7% - 3 - - - -1.0% 18 - - 3 3 -1.2% 21.4% - 4 - - - -1.5% - - - - 3 -2.0% - - 3 - - -4.0% - - 3 - - -

Events T25/Mon810 (maize)

Mon810 (maize)

T25/Mon810 (maize)

GTS-40-3-2 (soybean)

GTS40/A2704 (soybean)

GT73(rapeseed)

Sample size

300 3000 1500 3000 3000 3000

Qualitative X X X X X XSub-sampl. - (X) (X) X X XQuant. test - (X) (X) X X X

110 laboratories from 42 countries

PT01 – PT06: Qualitative Tests

 

Percentage of laboratories reporting results correctly or falsely:

Percentage of samples reported correctly or falsely:

PT01: maize, MON810 & T25; 1%

PT02: maize; MON810; 0.7% & 1.4%

PT03: maize; MON810 & T25; 0.2%, 2% & 4%

PT04: soybean; GTS40; 0.1%, 0.5% & 1.0%

PT05: soybean; GTS40 & A2704;

0.2%, 0.5%, 1.0%, 1.5%

PT06: rapeseed; GT70; 0.3%, 0.6% & 1.2%

01020

3040506070

8090

100

PT01 PT02 PT03 PT04 PT05 PT06

% la

bora

torie

s

correct results false results

false negative false positive

both false positive and false negative

0102030405060708090

100

PT01 PT02 PT03 PT04 PT05 PT06

% la

bora

torie

s

PT01 – PT06: Quantitative Test

(Overall) mean of the quantitative test results for each spiking level

0.00

1.00

2.00

3.00

4.00

5.00

6.00

0.1 0.2 0.2 0.3 0.5 0.5 0.6 0.7 1.0 1.0 1.0 1.2 1.4 1.5 2.0 4.0

GTS40 MON810+T25

GTS40 GT70 GTS40 GTS40 GT70 MON810+T25

GTS40 GTS40 A2704 GT70 MON810+T25

GTS40 MON810+T25

MON810+T25

soya maize soya rape soya soya rape maize soya soya soya rape maize soya maize maize

PT04 PT03 PT05 PT06 PT04 PT05 PT06 PT02 PT04 PT05 PT05 PT06 PT02 PT05 PT03 PT03

% m

ean

GM

con

tent

PT01 – PT06: Quantitative Test

Variation coefficient of the quantitative test results

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

0.1 0.2 0.2 0.3 0.5 0.5 0.6 0.7 1.0 1.0 1.0 1.2 1.4 1.5 2.0 4.0

GTS40 MON810+T25

GTS40 GT70 GTS40 GTS40 GT70 MON810+T25

GTS40 GTS40 A2704 GT70 MON810+T25

GTS40 MON810+T25

MON810+T25

soya maize soya rape soya soya rape maize soya soya soya rape maize soya maize maize

PT04 PT03 PT05 PT06 PT04 PT05 PT06 PT02 PT04 PT05 PT05 PT06 PT02 PT05 PT03 PT03

% m

ean

GM

con

tent

Summary PT01-PT06

Qualitative Results:Better results when• only one transgenic event involved• transgenic events are well known

Better results for negative samples than for positive samples

Quantitative Results:Reported values close to the true value• when spiking level between 0.2% and 1.5%• when transgenic event and reference material are well known

How to evaluate the performance of laboratories in ISTA Proficiency Tests?

A No problem has been detected in this test

B There are small problems, but no specific look or action is suggested to the participant

C Problems, ISTA indicates there might be things to consider by the laboratory to explain or correct things

BMP Below Minimum of Performance, ISTA indicates that the results were poor and the laboratory need to find explanations and to improve/correct

In-round rating: Presence/absence3 suggested rating systems

1/10 10%2/10 20%3/10 30%4/10 40%

Rate Fixed Number of misclassified samples

A 0 errors

B 1 or 2 errors

C 3 errors

BMP More than 3 errors

Rate Percentage of misclassified samples

A 0% - 5%

B >5% - 10%

C >10% - 20%

BMP >20%

Rate Percentage of misclassified samples

A 0% - 6%

B >6% - 20%

C >20% - 30%

BMP >30%

Example with 10 samples in a Test

System1 System2 System3

2 mistakes 2/10=20%

In-round Rating: Principles

for Quantification

More than ½ of the sample resultsoutside [½ true level; 2 x true level]

C Yes

Probability to observe amore extreme value of the sum

of absolute spiking levels z-scores whenassuming the laboratory provides

accurate resultsis 0.01

No

No

More than 1/6 (~17%) ofthe sample z-scores outside

[-2; +2] (missing sample values are

counted as outside)

BMP Yes

AB Yes No

Too many sample results aretoo far from truth

C Yes The average results by spiking level are not accurate

No

No

There are too manyinaccurate sample

results

AB Yes No

BMP Yes

Qualitative Test (49 labs) Quantitative and Sub-sampling Quantitative Tests (35 labs)

PT06 Rating

0

5

10

15

20

25

30

35

40

45

50

A B C BMP

# o

f L

abs

Rating System 1 Rating System 2 Rating System 3

0

5

10

15

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25

30

35

40

45

50

A B C BMP

# o

f L

abs

Rating System 1 Rating System 2 Rating System 3

RS1: seed numberRS2: mass of seedRS3: median

% of laboratories which reported an A, B, C or BMP

Qualitative Results Quantitative Results

PT01-PT06: In-round Rating

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45 50 39 53 59 48

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Rating System for 6 PTs based on the in-round rating values

Qualitative Results

Quantitative Results

PT01-PT06: Overall Rating

One testrating

One testScore Value

Overall ratingon six tests

Range onsix tests

# of labs (min. 4 rounds) 6 5 4

A 5 points A 28-30 points 10 10 - -

B 4 points B 27-21points 14 2 12 -C 3 points C 16-20 points 8 - 2 6

BMP 0 points BMP <16 points 2 - - 2

One testrating

One testScore Value

Overall ratingon six tests

Range onsix tests

# of labs (min. 4 rounds) 6 5 4

A 5 points A 28-30 points 0 - - -

B 4 points B 27-21points 5 - 5 -C 3 points C 16-20 points 5 - 1 4

BMP 0 points BMP <16 points 9 - 2 7

4. Performance Data Evaluation

for presence of seed with specified trait(s) in seed lots and specified trait purity

• Laboratory can choose an established and reliable method

• The «Performance Based Approach» is used instead of «one ISTA validated method»(not published in the ISTA Rules)

• Laboratory needs to demonstrate to ISTA accreditation team its ability to perform well with the method routinely used

Performance approved method to be included in lab’s scope of accreditation

• must be defined in terms of method used, the species tested, and the specified trait is to be determined

Performance Data Evaluation

Scope of ISTA Accreditation

Testingprinciple

Attribute/target Primer

Qual./quantspecificity Species

LOD/quant. range [%]

PCR35S-1/35S-235S-F/35S-R

qual. screening 0.03

Rt-PCR35S-F/35S-RLec R/Lec-F

quant. screening 0.1 - 3.035S Promotor Glycine max

Evaluation of Performance Data for each combination species, test method and trait!

For some combinations a PD has to be performed (on seeds, defined number of samples, defined spiking levels)

For other combinations suitable alternative Performance Data may be used(any other data providing effidence that accuracy and repeatability criteria are met)

Performance Data Evaluation

Relevant PD Documents

Quantification of Trait(s)

Performance Data Evaluation

Range: 0.1% to 3% 7 levels * 4 samples

Accuracy: departure from true valueRepeatability: variability of results by level

Performance Data Evaluation

7

Example of use of the data sent by the laboratory

Accuracy: Departure from true value

Repeatability: variability of results by level

Deviation and variability by level

Grading performance

Performance Data Evaluation

8.2

8.3

Audit

• Auditors assess whether implementation aspects are appropriately addressed and whether practice complies with the documented procedures

• To that effect, training, equipment management, facilities, reporting and running the overall quality managements system will be assessed

• A complete practical demonstration of any performance approved method will not be required

5. ISTA Workshops on GM Seed Testing

period workshop title location

2002 – 2006

ISTA/FAO Training Course on Varietal Verification and GMO Detection (8)

Argentina, South Africa, Thailand, Slovenia, Egypt, China, Jamaica, Turkey

2004 – 2005

ISTA Workshop on Statistical Aspects of GMO Detection (3)

France, USA, Argentina

2003

ISTA Variety Testing Workshop - Way to the future

ISTA Open Forum Discussion on (Semi)-Quantitative GMO Testing

Switzerland

ISTA Web site

http://www.seedtest.org