Detection and quantification of Aspergillus section Flavi spp. in stored peanuts by real-time PCR of nor-1 gene, and effects of storage conditions on aflatoxin production

被引:69
作者
Alejandra Passone, Maria [1 ]
Rosso, Laura Cristina [2 ]
Ciancio, Aurelio [2 ]
Etcheverry, Miriam [1 ]
机构
[1] Univ Nacl Rio Cuarto, Dept Microbiol & Inmunol, Lab Ecol Microbiana, Fac Ciencias Exactas Fis Quim & Nat,CONICET, Rio Cuarto, Argentina
[2] CNR, Ist Protez Piante, I-70126 Bari, Italy
关键词
nor-1; gene; Aspergillus section Flavi; Aflatoxins; Peanuts; Storage; FUNGI; CARBONARIUS; SEEDS; SOIL;
D O I
10.1016/j.ijfoodmicro.2010.01.003
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Aspergillus flavus and A. parasiticus are the main species from section Flavi responsible for aflatoxin accumulation in stored peanuts. A real-time PCR (RT-PCR) system directed against the nor-1 gene of the aflatoxin biosynthetic pathway as target sequence was applied to monitor and quantify Aspergillus section Flavi population in peanuts. Kernels were conditioned at four water activity (a(w)) levels and stored during a 4-month period. The quantification of fungal genomic DNA in naturally contaminated peanut samples was performed using TaqMan fluorescent probe technology. Sensitivity tests demonstrated that DNA amounts accounting for a single conidium of A. parasiticus RCP08300 can be detected. A standard curve relating nor-1 copy numbers to colony forming units (cfu) was constructed. Counts of species of Aspergillus section Flavi from unknown samples obtained by molecular and conventional count (CC) methodologies were compared. A correlation between cfu data obtained by RT-PCR and CC methods was observed (r=0.613; p < 0.0001); and the former always showed values higher by 0.5-1 log units. A decrease of fungal density was observed throughout the storage period, regardless of the quantification methodology applied. Total aflatoxin levels ranging from 1.1 to 200.4 ng/g were registered in peanuts conditioned at the higher aw values (0.94-0.84 a(w)). The RT-PCR assay developed appears to be a promising tool in the prediction of potential aflatoxigenic risk in stored peanuts, even in case of low-level infections, and suitable for rapid, automated and high throughput analysis. (c) 2010 Published by Elsevier B.V.
引用
收藏
页码:276 / 281
页数:6
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