{"title":"用于检测和量化玉米粒中黄曲霉和寄生曲霉支系的两种新型 qPCR 检测方法","authors":"Alexandre Leharanger, Delphine Paumier, Beatrice Orlando, Sylviane Bailly, Romain Valade","doi":"10.1111/ppa.13982","DOIUrl":null,"url":null,"abstract":"The fungi of <jats:italic>Aspergillus</jats:italic> section <jats:italic>Flavi</jats:italic> can produce carcinogenic mycotoxins—aflatoxins (AFs)—of two types: types B and G (AFBs and AFGs). AFs are highly hazardous for human and animal health. Their levels in food and feed are therefore highly regulated, with a low acceptable limit for AF content. In France, climate change has led to the detection of AFs in maize harvests since 2015. Mycoflora analyses have identified two species, <jats:italic>A</jats:italic>. <jats:italic>flavus</jats:italic> (producing AFBs) and <jats:italic>A</jats:italic>. <jats:italic>parasiticus</jats:italic> (producing both AFBs and AFGs), as responsible for this AF contamination. However, mycoflora analysis is a time‐consuming method that cannot readily be applied to large numbers of samples. We propose here an alternative clade‐specific functional TaqMan quantitative PCR method based on the calmodulin gene for distinguishing between the <jats:italic>A</jats:italic>. <jats:italic>flavus</jats:italic> clade (AfC) and the <jats:italic>A</jats:italic>. <jats:italic>parasiticus</jats:italic> clade (ApC). We applied this method to 553 maize samples collected in three different harvest years (2018–2020). Both clades were detected in about 40% of the samples tested. As expected, we observed significant positive correlations between AFBs and AfC DNA (<jats:italic>R</jats:italic><jats:sup>2</jats:sup> = 0.708), and between AFGs and ApC DNA (<jats:italic>R</jats:italic><jats:sup>2</jats:sup> = 0.885). This method will be useful for the rapid, simple and cheap characterization of maize grain contamination with <jats:italic>Aspergillus</jats:italic> section <jats:italic>Flavi</jats:italic>. This method will make it possible to study the relationship between agroclimatic conditions, AF content and species prevalence, to facilitate the anticipation of AF risks due to global warming in France.","PeriodicalId":20075,"journal":{"name":"Plant Pathology","volume":"4 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two new qPCR assays for detecting and quantifying the Aspergillus flavus and Aspergillus parasiticus clades in maize kernels\",\"authors\":\"Alexandre Leharanger, Delphine Paumier, Beatrice Orlando, Sylviane Bailly, Romain Valade\",\"doi\":\"10.1111/ppa.13982\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The fungi of <jats:italic>Aspergillus</jats:italic> section <jats:italic>Flavi</jats:italic> can produce carcinogenic mycotoxins—aflatoxins (AFs)—of two types: types B and G (AFBs and AFGs). AFs are highly hazardous for human and animal health. Their levels in food and feed are therefore highly regulated, with a low acceptable limit for AF content. In France, climate change has led to the detection of AFs in maize harvests since 2015. Mycoflora analyses have identified two species, <jats:italic>A</jats:italic>. <jats:italic>flavus</jats:italic> (producing AFBs) and <jats:italic>A</jats:italic>. <jats:italic>parasiticus</jats:italic> (producing both AFBs and AFGs), as responsible for this AF contamination. However, mycoflora analysis is a time‐consuming method that cannot readily be applied to large numbers of samples. We propose here an alternative clade‐specific functional TaqMan quantitative PCR method based on the calmodulin gene for distinguishing between the <jats:italic>A</jats:italic>. <jats:italic>flavus</jats:italic> clade (AfC) and the <jats:italic>A</jats:italic>. <jats:italic>parasiticus</jats:italic> clade (ApC). We applied this method to 553 maize samples collected in three different harvest years (2018–2020). Both clades were detected in about 40% of the samples tested. As expected, we observed significant positive correlations between AFBs and AfC DNA (<jats:italic>R</jats:italic><jats:sup>2</jats:sup> = 0.708), and between AFGs and ApC DNA (<jats:italic>R</jats:italic><jats:sup>2</jats:sup> = 0.885). This method will be useful for the rapid, simple and cheap characterization of maize grain contamination with <jats:italic>Aspergillus</jats:italic> section <jats:italic>Flavi</jats:italic>. This method will make it possible to study the relationship between agroclimatic conditions, AF content and species prevalence, to facilitate the anticipation of AF risks due to global warming in France.\",\"PeriodicalId\":20075,\"journal\":{\"name\":\"Plant Pathology\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Plant Pathology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1111/ppa.13982\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plant Pathology","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1111/ppa.13982","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
摘要
黄曲霉科的真菌可产生致癌霉菌毒素--黄曲霉毒素(AFs),有两种类型:B 型和 G 型(AFBs 和 AFGs)。AFs 对人类和动物的健康危害极大。因此,它们在食品和饲料中的含量受到严格管制,AF 含量的可接受限值很低。在法国,自 2015 年以来,气候变化已导致在收获的玉米中检测到 AFs。霉菌群分析确定了两个物种,即黄曲霉(产生 AFBs)和寄生黄曲霉(同时产生 AFBs 和 AFGs),它们是造成这种 AF 污染的原因。然而,菌群分析是一种耗时的方法,无法随时应用于大量样本。我们在此提出了一种基于钙调蛋白基因的支系特异性功能 TaqMan 定量 PCR 方法,用于区分黄曲霉支系(AfC)和寄生虫支系(ApC)。我们在三个不同收获年份(2018-2020 年)收集的 553 份玉米样本中应用了该方法。在约 40% 的测试样本中检测到了这两个支系。正如预期的那样,我们观察到 AFB 与 AfC DNA 之间(R2 = 0.708)以及 AFGs 与 ApC DNA 之间(R2 = 0.885)存在显著的正相关性。该方法可用于快速、简便、廉价地鉴定玉米粒受弗拉维曲霉菌污染的情况。通过这种方法可以研究农业气候条件、AF 含量和物种流行之间的关系,从而有助于预测全球变暖给法国带来的 AF 风险。
Two new qPCR assays for detecting and quantifying the Aspergillus flavus and Aspergillus parasiticus clades in maize kernels
The fungi of Aspergillus section Flavi can produce carcinogenic mycotoxins—aflatoxins (AFs)—of two types: types B and G (AFBs and AFGs). AFs are highly hazardous for human and animal health. Their levels in food and feed are therefore highly regulated, with a low acceptable limit for AF content. In France, climate change has led to the detection of AFs in maize harvests since 2015. Mycoflora analyses have identified two species, A. flavus (producing AFBs) and A. parasiticus (producing both AFBs and AFGs), as responsible for this AF contamination. However, mycoflora analysis is a time‐consuming method that cannot readily be applied to large numbers of samples. We propose here an alternative clade‐specific functional TaqMan quantitative PCR method based on the calmodulin gene for distinguishing between the A. flavus clade (AfC) and the A. parasiticus clade (ApC). We applied this method to 553 maize samples collected in three different harvest years (2018–2020). Both clades were detected in about 40% of the samples tested. As expected, we observed significant positive correlations between AFBs and AfC DNA (R2 = 0.708), and between AFGs and ApC DNA (R2 = 0.885). This method will be useful for the rapid, simple and cheap characterization of maize grain contamination with Aspergillus section Flavi. This method will make it possible to study the relationship between agroclimatic conditions, AF content and species prevalence, to facilitate the anticipation of AF risks due to global warming in France.
期刊介绍:
This international journal, owned and edited by the British Society for Plant Pathology, covers all aspects of plant pathology and reaches subscribers in 80 countries. Top quality original research papers and critical reviews from around the world cover: diseases of temperate and tropical plants caused by fungi, bacteria, viruses, phytoplasmas and nematodes; physiological, biochemical, molecular, ecological, genetic and economic aspects of plant pathology; disease epidemiology and modelling; disease appraisal and crop loss assessment; and plant disease control and disease-related crop management.