Traceability of mussel (Mytilus chilensis) in southern Chile using microsatellite molecular markers and assignment algorithms. Exploratory survey
Author
dc.contributor.author
Larraín Barth, María Angélica
Author
dc.contributor.author
Díaz Pérez, Nelson
es_CL
Author
dc.contributor.author
Lamas, Cármen
es_CL
Author
dc.contributor.author
Uribe, Carla
es_CL
Author
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Araneda Tolosa, Cristian
es_CL
Admission date
dc.date.accessioned
2015-01-08T01:00:36Z
Available date
dc.date.available
2015-01-08T01:00:36Z
Publication date
dc.date.issued
2014
Cita de ítem
dc.identifier.citation
Food Research International 62 (2014) 104–110
en_US
Identifier
dc.identifier.other
dx.doi.org/10.1016/j.foodres.2014.02.016
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/121970
General note
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Artículo de publicación ISI
en_US
Abstract
dc.description.abstract
The international seafood trade has adopted the food chain or “from farm to fork” concept in terms of standards
and regulations regarding food quality, safety and authenticity, from primary production to the consumer. This
has led to an increasing need for traceability, but administrative traceability systems (physical labeling, information
recording and automatic data treatment) are not flawless and require validation through analytical procedures.
Currently, DNA-based methods used for species identification and population genetics, coupled with
allocation algorithms can be used to verify administrative traceability systems. We evaluated the potential of a
panel of nine microsatellite markers combined with allocation algorithms for their ability to assign Mytilus individuals
from southern Chile to their geographical origin, evaluating the performance of four assignment
methods: genetic distance and frequency-based criteria and a Bayesian based method using prior information
or not. The reallocation test showed that the Bayesianmethodwith prior information performed best.When tested
with a real traceability verification case, the frequency-based algorithm showed the best results, re-allocating
individuals to their original population at least 6 timesmore often than individuals fromother locations in a challenging
scenario with low genetic differentiation among locations. In order to apply this allocation method for
traceability purposes, itwould be necessary to strengthen this SSR panelwith more informative loci and complement
it with SNP markers.
en_US
Patrocinador
dc.description.sponsorship
This research was supported by CONICYTFONDECYT Grant No.
1130302 and Universidad de Chile — Vicerrectoría de investigación —
Domeyko — Alimentos Grant 2007-2010 .