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Investigating seafood substitution problems and consequences in Taiwan using molecular barcoding and deep microbiome profiling

Seafood is commonly seen in cuisines of the Asia–Pacific regions. The rates and consequences of seafood substitution frauds in Taiwan were elusive. To address this, we conducted a consumer-centered study, collecting seafood dishes and cooking materials from restaurants and markets easily accessible...

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Autores principales: Chen, Pei-Ying, Ho, Cheng-Wei, Chen, An-Chi, Huang, Ching-Yi, Liu, Tsung-Yun, Liang, Kung-Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738519/
https://www.ncbi.nlm.nih.gov/pubmed/33319856
http://dx.doi.org/10.1038/s41598-020-79070-y
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author Chen, Pei-Ying
Ho, Cheng-Wei
Chen, An-Chi
Huang, Ching-Yi
Liu, Tsung-Yun
Liang, Kung-Hao
author_facet Chen, Pei-Ying
Ho, Cheng-Wei
Chen, An-Chi
Huang, Ching-Yi
Liu, Tsung-Yun
Liang, Kung-Hao
author_sort Chen, Pei-Ying
collection PubMed
description Seafood is commonly seen in cuisines of the Asia–Pacific regions. The rates and consequences of seafood substitution frauds in Taiwan were elusive. To address this, we conducted a consumer-centered study, collecting seafood dishes and cooking materials from restaurants and markets easily accessible to the residents in Taiwan. Seafood substitutions were evaluated using DNA barcodes in the mitochondrial MT-CO1 gene. Among the 127 samples collected, 24 samples were mislabeled (18.9%, 95% Confidence interval [CI] = [12.5–26.8%]). The mislabel rates vary in different fish and product types (snapper [84.6%, 54.6–98.1%], cod [25%, 5.5–57.2%], swordfish [16.7%, 2.1–48.4%], cobia [16.7%, 0.4–64.1%], surimi products [100.0%]). A deep microbiome profiling was performed in 8 correctly-labeled conventional sushi and 2 tilapia sashimi mislabeled as snapper, with sequencing depths greater than 100,000 reads for every sample. The relative abundance of Pseudomonas genus is significantly higher in tilapia sashimi than in conventional sushi (P = 0.044). In conclusion, the gross seafood mislabel rate in Taiwan is 18.9% (12.5–26.8%). Snapper, cod and surimi products are particularly vulnerable to fraudulent substitutions. The high abundance of Pseudomonas in tilapia sashimi mislabeled as snapper unveils a potential health issue pertaining to the consumption of raw mislabeled seafood.
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spelling pubmed-77385192020-12-17 Investigating seafood substitution problems and consequences in Taiwan using molecular barcoding and deep microbiome profiling Chen, Pei-Ying Ho, Cheng-Wei Chen, An-Chi Huang, Ching-Yi Liu, Tsung-Yun Liang, Kung-Hao Sci Rep Article Seafood is commonly seen in cuisines of the Asia–Pacific regions. The rates and consequences of seafood substitution frauds in Taiwan were elusive. To address this, we conducted a consumer-centered study, collecting seafood dishes and cooking materials from restaurants and markets easily accessible to the residents in Taiwan. Seafood substitutions were evaluated using DNA barcodes in the mitochondrial MT-CO1 gene. Among the 127 samples collected, 24 samples were mislabeled (18.9%, 95% Confidence interval [CI] = [12.5–26.8%]). The mislabel rates vary in different fish and product types (snapper [84.6%, 54.6–98.1%], cod [25%, 5.5–57.2%], swordfish [16.7%, 2.1–48.4%], cobia [16.7%, 0.4–64.1%], surimi products [100.0%]). A deep microbiome profiling was performed in 8 correctly-labeled conventional sushi and 2 tilapia sashimi mislabeled as snapper, with sequencing depths greater than 100,000 reads for every sample. The relative abundance of Pseudomonas genus is significantly higher in tilapia sashimi than in conventional sushi (P = 0.044). In conclusion, the gross seafood mislabel rate in Taiwan is 18.9% (12.5–26.8%). Snapper, cod and surimi products are particularly vulnerable to fraudulent substitutions. The high abundance of Pseudomonas in tilapia sashimi mislabeled as snapper unveils a potential health issue pertaining to the consumption of raw mislabeled seafood. Nature Publishing Group UK 2020-12-15 /pmc/articles/PMC7738519/ /pubmed/33319856 http://dx.doi.org/10.1038/s41598-020-79070-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Chen, Pei-Ying
Ho, Cheng-Wei
Chen, An-Chi
Huang, Ching-Yi
Liu, Tsung-Yun
Liang, Kung-Hao
Investigating seafood substitution problems and consequences in Taiwan using molecular barcoding and deep microbiome profiling
title Investigating seafood substitution problems and consequences in Taiwan using molecular barcoding and deep microbiome profiling
title_full Investigating seafood substitution problems and consequences in Taiwan using molecular barcoding and deep microbiome profiling
title_fullStr Investigating seafood substitution problems and consequences in Taiwan using molecular barcoding and deep microbiome profiling
title_full_unstemmed Investigating seafood substitution problems and consequences in Taiwan using molecular barcoding and deep microbiome profiling
title_short Investigating seafood substitution problems and consequences in Taiwan using molecular barcoding and deep microbiome profiling
title_sort investigating seafood substitution problems and consequences in taiwan using molecular barcoding and deep microbiome profiling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738519/
https://www.ncbi.nlm.nih.gov/pubmed/33319856
http://dx.doi.org/10.1038/s41598-020-79070-y
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