1. Let’s Talk Science Action Project Fish Market Survey Results
Spring 2017
Welcome to the results presentation for the Let’s Talk Science Fish Market Survey Action Project on CurioCity. This presentation reviews the processes and summarizes the results from the spring 2017 project.

2. Fish Market Survey $30.66/kg $18.19/kg Tilapia Red Snapper
To review, a market survey is a process that can be used to determine if the species of plants and animals used in food products are identified correctly.
The species of whole fish, like the ones you see here, are usually easy to identify.
Animation 1: However, once fish are processed it can become very difficult to identify their species, and they may become mislabeled.
Animation 2: There are many different potential impacts of mislabelled fish products. The most noticeable impact is the price people pay, as you can see from this example. However, there can also be human health implications as well as environmental implications for fish populations when fish species are incorrectly labelled.

3. Spring 2017 8 different market names were targeted: Cod Snapper
In the spring of 2017, students across Canada were asked to collect samples of fish from grocery stores and fish markets. 8 different types of fish were chosen. This included cod, swordfish, Sockeye and King Salmon, Snapper and Red snapper, as well as Alaskan and Pacific Halibut. We were excited to see that students from many different regions of Canada were able to collect and submit samples of fish.
Cod
Snapper
Swordfish
Red Snapper
Sockeye Salmon
Atlantic Halibut
King Salmon
Pacific Halibut

4. Sampling
Fresh or frozen fish was purchased at local markets and grocery stores
Small tissue samples were taken by students
Placed into vials in LifeScanner kit
Shipped to LifeScanner and sequenced by partner lab - the Canadian Centre for DNA Barcoding, University of Guelph
In preparation for DNA barcoding, small tissue samples of the fish were taken by the students and placed into vials from a LifeScanner kit. The vials were then shipped to LifeScanner, where the DNA was sequenced at the Canadian Centre for DNA Barcoding at the University of Guelph.
Students also filled out information at the time of sampling using the LifeScanner app indicating the market name and other key features of each product, such as where the fish was purchased and any information on the packaging or signage in the store.

5. DNA Barcoding Specimen Tissue Sample Extract DNA Amplify DNA (PCR)
Sequence DNA
At the University of Guelph, DNA from the samples was extracted, amplified using Polymerase Chain Reaction (or PCR), and sequenced.

6. DNA Barcoding
Barcode sequences were then identified by comparing to the Barcode Of Life Data Systems: the global library for DNA Barcoding
Oncorhynchus mykiss (Rainbow/Steelhead Trout)
The resulting DNA barcode sequences were analyzed using the Barcode of Life Data Systems, which is an online DNA barcode database.
By comparing entries from this project to other sequences in the database, the species of each fish sample could be identified. It could then be determined whether or not each fish product was correctly labelled.

7. DNA Barcoding Results were transmitted to the LifeScanner App
+ Oncorhynchus mykiss (Rainbow/Steelhead Trout)
Finally, the DNA barcodes were sent back to each user through the LifeScanner app, along with common names and other information about the species.

8. Results Overview – Spring 2017
278 samples were analyzed (18 had DNA that did not amplify)
260 yielded a DNA barcode sequence (93% success)
37 were removed due to bacterial or cross-contamination (will need more lab work)
26 were removed due to incomplete information being submitted with sample
197 total to study for mislabelling
In the spring of 2017, 312 vials were submitted by students in the project. Of these, 278 samples were submitted to the lab and analyzed. (The rest did not come with enough data)
Of the 278 samples submitted, DNA barcodes were obtained for 260 of the samples. (18 had DNA that did not amplify)
37 were removed due to bacterial or cross-contamination (will need more lab work)
26 were removed due to incomplete information being submitted with sample
This resulted in 197 fish DNA barcodes to study for potential mislabeling.

9. Results Overview – Spring 2017
Of the 197 sequenced fish samples:
~4% (8 samples) were labelled with names not on the Canadian Food Inspection Agency Fish List
~9% (18 samples) were actually mislabelled fish
Once the results were in, we learned that of the 207 sequenced fish samples, 43 were in fact mislabelled.
8 samples were labelled with names that aren’t supposed to be used in Canada based on the Canadian Food Inspection Agency Fish List, while 18 samples were actually incorrectly labelled fish. These fish were sold under the wrong name either accidentally or on purpose.
That means that overall, approximately 13% of the fish samples had labelling errors of some kind.
~13% of the fish samples had labelling errors!

10. Results Overview – Spring 2017
26 Mislabelled Samples
True mislabelling
Name non-conformity
18 samples
The scientific name and the declared common name exist on CFIA fish list but do not match
7 samples
The declared common name does not exist on CFIA fish list
3 samples
The scientific name
does not exist on
CFIA fish list
Let’s look more closely at the 26 samples that were mislabelled.
18 samples were truly mislabelled. This means that that although the scientific and commons names for the fish were on the CFIA fish list, the market names did not match the species names determined through DNA barcoding.
As for the other mislabelled samples, 7 had common names that were not on the CFIA fish list and 3 had scientific names that were not on the CFIA fish list. 2 samples had neither their common name nor their scientific name on the CFIA fish list.
2 samples
Neither the common name nor the scientific name exist on CFIA fish list

11. True mislabeling: Salmon
Example: MOBIL
Market Label: Sockeye salmon
DNA barcode match: Salmo salar (Atlantic Salmon or salmon)
Atlantic Salmon (farmed):
Pollution depending on region farmed
Environmental impacts of farming practices
Health impacts
Economic impacts
Male breeding Sockeye Salmon
(Source: Public Domain,
Next, let’s look at an example of true mislabeling that occurred in the project.
In this case, the name on the sign or package, what we call the Market name, was “Sockeye Salmon.” The DNA barcode identified the species as Salmo salar, which is known by the common name of Atlantic Salmon. Atlantic Salmon and Sockeye Salmon are two different species of salmon.
Atlantic Salmon are often farm-raised and farm-raised fish can have potential environmental impacts, human health impacts, and economic impacts. Given the public perception and market prices of farm-raised versus wild fish, the mislabeling in this case may have been intentional.
Atlantic Salmon
(Source: Public Domain,

12. Name non-conformity Example: MOBIL3782-17 Market Label: Wild Sole
DNA barcode match: Lepidopsetta polyxystra
This name is not on CFIA fish list but it is the name for Northern Rock Sole (still a type of sole)
There were also a number of instances of what is known as “name non-conformity.” For example, sample MOBIL had the market name of “Wild Sole” and had a DNA barcode match of Lepidopsetta polyxystra. Although this name is not on the CFIA fish list, Lepidopsetta polyxystra has the common name of Northern Rock sole, which is still a type of sole.
Lepidopsetta polyxystra
(Orr & Matarese, 2000 )
(Source:

13. Name non-conformity Example: MOBIL3736-17 Market label: Pink Salmon
DNA barcode match: Oncorhynchus keta (Keta Salmon/Silverbrite Salmon/Chum Salmon).
Still a type of salmon, but labelled incorrectly
Another example of name non-conformity is sample MOBIL The market name it had was Pink Salmon. It’s DNA barcode match was for the species Oncorhynchus keta. Oncorhynchus keta is known more commonly as Keta Salmon/Silverbrite Salmon/Chum Salmon. Although the species is on the CFIA fish list and is a type of salmon, it still was not labelled correctly.
Source: public domain image on Wikimedia Commons

14. Name non-conformity Other examples of label issues:
Pacific Halibut versus Atlantic Halibut
Pacific Salmon versus Pink Salmon
Rockfish versus Perch
Halibut versus Pacific Halibut
Other examples of fish on the CFIA fish list that were mislabelled included types of halibut, salmon, rockfish and sole.
Halibut (top) and salmon (bottom)
(Source: By gran (self) ( via Wikimedia Commons)

15. Thank you to all participating students and teachers!
The project is ongoing – sign up now for the Fall 2017 Fish Market Survey on CurioCity
As we bring the presentation to a close, we want to say thank you to all of the teachers and students who collected fish as part of the Fish Market Survey Action Project. Your contributions added to our collective knowledge of fish mislabelling in Canada.
The project will be repeated in the spring of 2017, so Educators, go to the link below and sign up now if you are interested in receiving a free LifeScanner kit and collecting fish in the spring as spaces are limited.

16. Supporters & Partners
This project was made possible thanks to the following supporters & partners:
Finally we at CurioCity and Let’s Talk Science would like to say a big thank you to LifeScanner, the Centre for Biodiversity Genomics and the Marine Stewardship Council who helped make this project possible.
And don’t forget to check out the other interesting articles, videos and educator resources on CurioCity!