TY - JOUR
T1 - OTA-grapes, a mechanistic model to predict ochratoxin A risk in grapes, a step beyond the systems approach.
AU - Camardo Leggieri, Marco
AU - Battilani, Paola
PY - 2015
Y1 - 2015
N2 - Ochratoxin A (OTA) is a fungal metabolite dangerous for human and animal
health due to its nephrotoxic, immunotoxic, mutagenic, teratogenic and carcinogenic
effects, classified by the International Agency for Research on Cancer in group 2B,
possible human carcinogen. This toxin has been stated as a wine contaminant since 1996.
The aim of this study was to develop a conceptual model for the dynamic simulation of the
A. carbonarius life cycle in grapes along the growing season, including OTA production in
berries. Functions describing the role of weather parameters in each step of the infection
cycle were developed and organized in a prototype model called OTA-grapes. Modelling
the influence of temperature on OTA production, it emerged that fungal strains can be
shared in two different clusters, based on the dynamic of OTA production and according to
the optimal temperature. Therefore, two functions were developed, and based on statistical
data analysis, it was assumed that the two types of strains contribute equally to the
population. Model validation was not possible because of poor OTA contamination data,
but relevant differences in OTA-I, the output index of the model, were noticed between
low and high risk areas. To our knowledge, this is the first attempt to assess/model
A. carbonarius in order to predict the risk of OTA contamination in grapes.
AB - Ochratoxin A (OTA) is a fungal metabolite dangerous for human and animal
health due to its nephrotoxic, immunotoxic, mutagenic, teratogenic and carcinogenic
effects, classified by the International Agency for Research on Cancer in group 2B,
possible human carcinogen. This toxin has been stated as a wine contaminant since 1996.
The aim of this study was to develop a conceptual model for the dynamic simulation of the
A. carbonarius life cycle in grapes along the growing season, including OTA production in
berries. Functions describing the role of weather parameters in each step of the infection
cycle were developed and organized in a prototype model called OTA-grapes. Modelling
the influence of temperature on OTA production, it emerged that fungal strains can be
shared in two different clusters, based on the dynamic of OTA production and according to
the optimal temperature. Therefore, two functions were developed, and based on statistical
data analysis, it was assumed that the two types of strains contribute equally to the
population. Model validation was not possible because of poor OTA contamination data,
but relevant differences in OTA-I, the output index of the model, were noticed between
low and high risk areas. To our knowledge, this is the first attempt to assess/model
A. carbonarius in order to predict the risk of OTA contamination in grapes.
KW - climate
KW - fungi
KW - mycotoxin
KW - temperature
KW - climate
KW - fungi
KW - mycotoxin
KW - temperature
UR - http://hdl.handle.net/10807/71081
U2 - 10.3390/toxins7083012
DO - 10.3390/toxins7083012
M3 - Article
SN - 2072-6651
VL - 7
SP - 3012
EP - 3029
JO - Toxins
JF - Toxins
ER -