key: cord-0896375-zl9av3v4
authors: Gao, Jie; Xie, Ruibin; Wang, Nan; Zhang, Juan; Sun, Xiaoyun; Wang, Hongjing; Tan, Jianxin; Chen, Ailiang
title: Rapid identification of Amanita citrinoannulata poisoning using colorimetric and real-time fluorescence and loop-mediated isothermal amplification (LAMP) based on the nuclear ITS region
date: 2022-02-04
journal: Food Chem (Oxf)
DOI: 10.1016/j.fochms.2022.100082
sha: 6e686d875479a7815ef7b99038e518138dd50322
doc_id: 896375
cord_uid: zl9av3v4

Health concerns and financial losses caused by mushroom poisoning have been reported worldwide. Amanita citrinoannulata, a poisonous mushroom commonly found in China, results in a toxic reaction in humans after mistaken ingestion. To reduce the mistaken ingestion of poisonous mushrooms and to improve clinical diagnosis of mushroom poisoning, a rapid mushroom species identification method is required. Such identification methods could be advantageous in the identification of other poisonous mushroom species. This study developed two rapid and sensitive methods for the detection of A. citrinoannulata utilizing colorimetric and real-time loop-mediated isothermal amplification (LAMP) technology and specifically designed primers for the internal transcribed spacer (ITS) genes of A. citrinoannulata. The methods demonstrated high sensitivity as 0.2 ng of A. citrinoannulata DNA could be detected, with no cross-reaction with 41 non-target mushroom species. The entire detection process could be completed within 40 min without requiring complex instruments and can be observed by the naked eye. Therefore, these novel methods can be used for the identification of fresh and cooked mushroom samples and vomit samples, which contain only 1% A. citrinoannulata. Furthermore, these methods facilitate the detection of mushroom poisoning, and thus, have potential to reduce the number of mushroom poisoning-related deaths worldwide.

As a delicious wild food, mushrooms are loved and collected by many people from wild fields. However, many mushrooms are poisonous and could induce serious illness. Such mushrooms are difficult to identify due their similarity in appearance with edible mushrooms. Globally, reports of the number of mushroom poisoning-related deaths have been increasing every year (Cervellin et al., 2018; Gold et al., 2021; Li et al., 2021) , distressing healthcare professionals. In China, of the 13 307 known pathogenic outbreaks reported in [2003] [2004] [2005] [2006] [2007] [2008] [2009] [2010] [2011] [2012] [2013] [2014] [2015] [2016] [2017] 31 .8% were caused by poisonous mushrooms . With the increasing number of related deaths, mushroom poisoning poses a serious food safety threat worldwide.

In 2019, Amanita citrinoannulata, a toxic mushroom, caused a food poisoning outbreak in China; however, its toxicity had not been previously recorded. A. citrinoannulata was described in China in 2018 and was found to be distributed in the Chongqing, Yunnan, Jiangsu, Shandong, and Guizhou provinces (Cui et al., 2018) . A. citrinoannulata is a light gray or brown mushroom that is easily perceived as nontoxic. The consumption of poisonous mushrooms, such as A. citrinoannulata, leads to high medical costs (Govorushko et al., 2019) . Therefore, establishing a rapid, field-portable, and simple detection method for identifying poisonous mushrooms is of great significance in source investigation, clinical diagnosis, and correct treatment. Professional mycologists currently identify mushroom varieties by extensively evaluating the morphological characteristics of mushrooms. However, the morphology of a particular mushroom can vary greatly across different locations owing to variations in environmental and genetic factors. The high degree of variability in mushroom morphology has greatly challenged the accurate identification of mushrooms. For instance, mushroom species were accurately identified in only 43 % of the 51 cases of mushroom poisoning treated in University Hospital Bern in Switzerland (Keller et al., 2018) . Therefore, the development of improved identification methods for poisonous mushroom species is of great significance. Scientists have developed many identification methods for poisonous mushrooms, including immunoassays, which have high sensitivity, but take a long time and hence, are not compatible to be used in clinical settings. Additionally, spectroscopic analysis, liquid chromatography-tandem mass spectrometry, and ultraperformance liquid chromatography tandem mass spectrometry (Gicquel et al., 2014; Pyrzyñska & Trojanowicz, 1999; Zhang et al., 2016) are highly sensitive and fast in species detection, but they require expensive equipment and extensive sample pretreatment, which are sometimes difficult to execute in remote areas and resource-limited settings. Moreover, in mushroom poisoning cases, mushroom samples are not usually well preserved, especially cooked mushroom samples or cases of vomiting. In recent years, nucleic acid-based detection methods have been developed using the specificity of target genes and have achieved good stability even in deep-processed samples. PCR is one of the most commonly used nucleic acid detection methods. However, the complex heating and cooling process of PCR requires approximately two hours for PCR detection. Developing more rapid detection methods is necessary for the initial treatment and research of mushroom poisoning.

Loop-mediated isothermal amplification (LAMP) is a technique for DNA amplification under isothermal conditions. This technology has been widely used in the molecular detection and identification of pathogenic fungi in medicinal, food, and agricultural products (Leonardo et al., 2021; Moehling et al., 2021; Mori & Notomi, 2009 ). More recently, it has also been utilized for the diagnosis of the SARS-CoV-2 coronavirus (Chaouch, 2021) . At present, LAMP technology has been used for the identification of Amanita. For example, Vaagt et al. (2013) established a detection method for Amanita phalloides, and the bands were detected using agarose gel. More recently, He et al. (2019) established different detection methods for fatal Amanita based on the principle of using hydroxynaphtol blue (HNB) dye and detecting color changes.

In this study, we aimed to develop a rapid, sensitive, specific, and naked-eye LAMP detection method for A. citrinoannulata using a useful genetic marker, the internal transcribed spacer (ITS) region of the ribosomal DNA (Ratnasingham & Hebert, 2007) . ITS was proposed as a common barcode region for fungal identification (Schoch et al., 2012) . Therefore, LAMP primers were designed using the ITS sequence of A. citrinoannulata, and a visualization and real-time LAMP detection method was established. In addition, considering the practical application scenarios of the method, mushrooms were treated with boiling water and digestion of mushrooms by gastric juice were simulated. The LAMP detection method of A. citrinoannulata developed in this study may be of great significance for the prevention and diagnosis of poisoning and rapid identification of mushroom species in poisoning incidents. To the best of our knowledge, this is the first established detection method for A. citrinoannulata.

To determine the specificity of the colorimetric LAMP assay established in this study, fresh samples of 42 different mushroom species were used (Table 1) . Hypsizygus marmoreus, Flammulina filiformis, Lentinula edodes, and Pleurotus eryngii samples were purchased from supermarkets; Chlorophyllum molybdites was provided by the Institute for Agri-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, China. Other mushroom species were collected in Lijiang, Yunnan, China from July to September 2020. All mushroom species were preliminarily distinguished by morphological identification and then further identified by Sanger sequencing based DNA barcoding method described in 2.2. All samples were stored at − 80℃ for subsequent experiments.

Mushrooms fruiting body samples were placed into a mortar and liquid nitrogen was added quickly to freeze-dry the mushrooms, which were then ground into powder with a pestle. Subsequently, 100 mg powder of each mushroom sample was taken for DNA extraction. The DNA from the powder was extracted using the New Genome DNA extraction Kit of plant tissues (Tiangen, Beijing, China) according to the manufacturer's instructions. Total DNA was stored at − 20 • C until further analysis. The concentration of DNA was determined using a Nanodrop 2000 ultramicro-spectrophotometer (Thermo Fisher Scientific, Waltham, United States), with OD values read at 260 nm and 280 nm. DNA purity was determined using the 260/280 nm ratio; the OD value was 1.8-2.2, which revealed a good sample quality that could meet the requirements of subsequent experiments.

A 25 μL PCR mixture, containing a total volume of 2 × Taq PCR Master Mix, 3 μL of each primer, 4.5 μL of ddH 2 O, and 2 μL of DNA was used. Universal primers ITS4 (5 ′ -TCCTCCGCTTATTGATATGC-3 ′ ) and ITS5 (5 ′ -GGAAGTAAAAGTCGTAACAAGG-3 ′ ) were used to amplify the DNA of all samples using a PCR thermal cycler (Applied Biosystems, California, United States). The amplification was performed under the following conditions: 94 • C initial denaturation for 5 min; followed by 30 cycles of denaturation at 94 • C for 30 s, primer annealing at 58 • C for 30 s, and extension at 72 • C for 30 s; and a 72 • C final extension for 10 min. The amplified products were evaluated using 1.5% agarose gel electrophoresis and sent to Beijing Sangon Biotechnology Technology (China) for Sanger sequencing. The sequences were analyzed using the National Center for Biotechnology Information (NCBI) basic local alignment search tool (BLAST) and also compared with published sequences to confirm the mushroom species. Finally, the obtained sequence was uploaded to GenBank database (accession number in Table 1 ) (Wang et al., 2021) .

The available ITS gene sequences of A. citrinoannulata (accession numbers MH508316.1) were downloaded from the GenBank database (https://www.ncbi.nlm.nih.gov/nuccore) to confirm the conserved regions of A. citrinoannulata. Primer binding sites were selected to ensure coverage of intraspecific conserved regions. We selected the species with the same branch or a very similar shape as A. citrinoannulata in phylogenetic analysis. Although we did not collect all the species, we used their sequences for sequence alignment. In addition, using the BioEdit version 7.0.9, alignment was performed between the A. citrinoannulata ITS gene sequence and ITS sequences from species closely related to

, and Amanita sp.(MN647008.1). We manually selected the primer binding sites to ensure that A. citrinoannulata had sufficient mismatch with related species in the same branch. Mismatch between A. citrinoannulata and related non-target Amanita species in the region of the designed primers is shown in Fig. 1 .

The LAMP primer set that was used in this study was designed using the GLAPD website (http://cgm.sjtu.edu.cn/GLAPD/online/group_spec ific.html) based on the ITS gene sequence of A. citrinoannulata. Fig. 1 also shows the region of primer design and the F3 and B3c DNA regions which were used to design the inner primers (F3 and B3); F1 and F2 were used to design the internal primers (FIP); and the loop primer (LF) was designed using the LFc region. The primers (BIP) were designed using the B1c and B2c regions. The theoretical specificity of the new primers was verified using Primer-BLAST in NCBI. The primers were synthesized by Sangon Biotech (Shanghai, China).

The colorimetric LAMP reaction was carried out in a total volume of 10 μL. Specifically, primers were mixed in advance according to a volume ratio of F3 (10 μM): B3 (10 μM): LF (10 μM): FIP (10 μM): BIP (10 μM) = 1:1:2:8:8. In the reaction mixture, 2 µL of sample DNA (10 ng/μL) was used as the template. The mixture also contained 5 μL WarmStart® Colorimetric LAMP 2X Master Mix (New England Biolabs, Massachusetts, United States), 2.2 μL mixed primers, diluted by adding 0.6 μL water to fill. The colorimetric LAMP reaction mixture was incubated at 65 • C for 25 min. The reaction was stopped by setting the temperature at − 20 • C for 1 min, and the results were then observed. It is to be noted that positive results change color from pink to yellow, while negative results stay in pink, and the color contrast remains very strong.

The real-time LAMP reaction was performed using the Applied Biosystems (ABI) 7500 Fast Real-time PCR System (Applied Biosystems, California, United States) to amplify the real-time LAMP mixture. The LAMP mixture contained 5 μL of the WarmStart LAMP 2X Master Mix (New England Biolabs, Massachusetts, United States), 2.2 μL mixed primers, 0.2 μL LAMP Fluorescent Dye (50X) (New England Biolabs, Massachusetts, United States), and 2 μL of DNA (10 ng/μL), and ddH 2 O was added to a final volume of 10 μL. The reaction program was set to 65 • C, 1 min per cycle, for a total of 90 cycles. In this way, the threshold cycle (C t ) was set to be equal to the fastest time for the product to reach the detectable threshold of the fluorescence signal. Based on these two mixtures and program settings, we performed subsequent specificity experiments, sensitivity experiments, and applicability experiments.

To verify the specificity of the LAMP primers, colorimetric and realtime LAMP were applied to all DNA samples. If only the color of the positive control (A. citrinoannulata) changed from pink to yellow, whereas the pink color of the negative and blank controls (Other species in Table 1 except positive control and ddH 2 O) remained unchanged, the specificity of the primer group was strong. On a specificity analysis basis, we carried out the sensitivity experiment. The experiment was performed with different concentrations of DNA from A. citrinoannulata with dilutions ranging from 100 ng/μL to 0.1 pg/μL (1:10 dilution series) with ddH 2 O, and the sensitivity range was observed.

In order to further verify the applicability of the LAMP method established in this study, we simulated the processes of mushroom processing and body digestion. A series of treated samples were analyzed by LAMP. We used a mixture of three types of mushroom species, including a common poisonous mushroom (Chlorophyllum molybdites), common edible mushroom (Lentinula edodes), and positive control (A. citrinoannulata), mixed at different ratios (Chlorophyllum molybdites: Lentinula edodes: A. citrinoannulata = 1:1:98, 25:25:50, or 54:45:1).

Two groups were established for different treatments. One group was treated with boiling water for 15 min to demonstrate that the colorimetric method could be used for cooked mushroom samples. In the other group, a cooked mushroom mixture was incubated with 1 mL artificial gastric juice for 3 h at a constant temperature and a shaking table was used to simulate the process of human digestion of mushrooms. The in vitro simulated digestion in artificial gastric juice was conducted according to the methods of Pan et al. (2019) and Hodgkinson et al. (2019) . Finally, DNA was extracted from both groups of mushroom mixtures for LAMP analysis.

The five primers synthesized for this experiment were designed to be highly specific to the target sequence. These designed primers showed improved specificity and provided enhanced DNA amplification performance. When the content of the amplified sequences reached a certain limit, the color of the reaction mixture changed from pink to yellow, allowing direct visual observation of the colorimetric results. The primers lacked a primer dimer and met specific requirements with respect to the GC content and annealing temperature, as indicated in Table 2 .

Sequences of common wild mushrooms, poisonous mushrooms, and popular edible fungi, including species of Amanita, were used as templates, and ddH 2 O was used as the negative control for the LAMP reaction. The results after amplification at 65 • C for 90 min are shown in Fig. 2 . Both colorimetry and real-time LAMP could accurately identify the target species. The positive sample showed color change after 40 min, while the negative sample did not change color until 90 min. The color change was only observed in the A. citrinoannulata sample. Other species maintained the same initial color as the negative control, and the primer did not cause false positive amplification of non-target species. This result can also be clearly observed in the results from real-time fluorescence detection. Positive samples were detected at 15 min up to 90 min from the start of amplification, and false-positive results were not observed.

To determine the minimum amount of sample DNA detectable by these methods, visual LAMP detection and real-time fluorescence LAMP detection were performed with prepared DNA of different concentrations. According to the color change of the tube and the line in the result figure, the limit of detection (LOD) of both new methods were 0.1 ng/μL (Fig. 3) . As the reaction mixture contained 2 μL DNA template, the LOD was 0.2 ng. As shown in Fig. 3B , the DNA template with a high concentration of 100 ng / μL after DNA amplification showed the longest reaction time. This is also evidenced by the time required for color change in visual experiments. This may be due to the inhibition of LAMP amplification caused by excessive DNA concentration as well as the high concentration of inhibitors associated with DNA extraction.

In daily life, Chinese people often consume mushroom 'hotpots', containing a variety of mushrooms. Therefore, in practical applications, the samples are usually mixed and processed. Furthermore, when mushrooms are eaten by mistake and are digested in the stomach, DNA gets degraded. Our study aimed to evaluate whether the new methods could detect A. citrinoannulata in processed sources such as hotpots. To evaluate the feasibility of our method, a LAMP assay was performed using boiling and digested sample mixture. DNA was successfully amplified in both groups by colorimetric LAMP (Fig. 4) . The results from real-time fluorescence LAMP analysis also confirmed amplification in the A. citrinoannulata (Fig. 4) .

LAMP of DNA only requires the implementation of constant temperature conditions without the use of complex instruments. These specific requirements make the new method a relatively simple one that can be used in the absence of specialized equipment. The sensitivity of LAMP is generally 10 times higher than that of PCR (Mashooq et al., 2016) . Therefore, LAMP detection methods can replace PCR-based food safety detection methods to some extent in the food industry (Lee, 2017) .

The ITS sequences of 93 Amanita species were obtained from NCBI, including many A. citrinoannulata related species. All primers used in the study were designed based on the sequences of all A. citrinoannulata related species. One of the major difficulties in establishing a LAMP detection method is the design of LAMP primers highly specific for certain species (Tomita et al., 2008) . DNA barcodes commonly used for fungal identification include ribosomal ITS, large ribosomal subunit gene (LSU), the second largest subunit of RNA polymerase II (RPB2), and β-tubulin (Cai et al., 2012; He et al., 2018; Schoch et al., 2012; Zervakis et al., 2019) . Deng et al. (2013) used LSU and ITS gene sequences to identify Amanita collected from the Guangdong Province, China. The highly variable regions of ITS ribosomal DNA show interspecies genetic variations and have become important molecular markers for intraspecific phylogenetic development, interspecies variation, and genetic diversity analysis (Bunyard et al., 1996; Dunham et al., 2003; Smith & Sivasithamparam, 2000) . Therefore, the ITS gene fragment was selected as the target gene for LAMP design in this study.

However, because the gene sequences of A. spissa, A. spissacea, and A. citrinoindusiata are very similar to those of A. citrinoannulata, the primer binding sites designed initially using GLAPD had too few mismatched bases and are prone to produce false positives. Therefore, it was necessary to manually select binding sites, such that only the primers for the most mismatched loci are generated by GLAPD. This ensured that the primer binding sites had sufficient consistency among the same species and sufficient mismatch among different species. At the same time, these primers also met the basic requirements of low GC content and less dimer formation.

After several sensitivity experiments, it was evident that the LAMP reaction was inhibited when the concentration of DNA was 100 ng/μL. This is consistent with the research findings of Njiru et al. (Njiru et al., 2008) , and may be due to a fact that mushroom fruiting bodies contain more polysaccharides and phenolic compounds. These secondary metabolites easily affect the DNA amplification results (Abubakar et al., 2021) . The amplification efficiency could be improved by constantly purifying the DNA to be used in the experiment. However, DNA dilution can also achieve the purpose of not affecting the efficiency of amplification, and therefore, the concentration of DNA used for the amplification should be noted during application.

A variety of methods have been developed to detect LAMP results, such as turbidity detection (Mori et al., 2001) , fluorescence detection (Saull et al., 2016; Spielmann et al., 2019) , and gel electrophoresis assays (Sheu et al., 2020) . The colorimetric method used in this study is the simplest and most cost-effective method. Compared with the results obtained using the turbidity, HNB, and calcein detection methods, those obtained using the colorimetric method, i.e., the pink and yellow color contrast, are more discernable and obvious. The results of the real-time fluorescence LAMP analysis can give semi-quantitative results. The two detection methods established in this study could be used to observe the results without opening the lid of the centrifuge tube after the reaction. Compared with the electrophoresis detection method, the possibility of aerosol contamination is reduced. Our results show that the rapid DNAbased detection method of A. citrinoannulata is useful and does not require examination of sample morphology. Samples containing even small amounts of DNA can be used for the LAMP method described in this study. This study also has certain limitations. First, the sensitivity is not high enough. In this study, multiple sets of LAMP primers were designed. Finally, in order to ensure the specificity of the sample, primers with relatively low sensitivity were selected. However, these primers could meet the requirements of practical application.

In addition, there are many different species of poisonous mushrooms which show similar appearances. In the case of mushroom poisoning, more than one species of mushrooms might be involved, which implies that a method that identifies multiple species of poisonous mushrooms or a multiplex detection method are necessary. In this study, only a method for A. citrinoannulata detection was developed using a real time fluorescent LAMP method, which showed good specificity, sensitivity and promising application potential in different processed or digested samples. In order to detect more species of poisonous mushrooms, this method could be combined with microfluidic chip technology, thereby performing a multiplex mushroom species identification in one reaction. We are collecting and identifying various species of mushrooms from different regions of China and are in the process of preparing a microfluidic chip based multiplex-LAMP method for poison mushrooms identification.

This is the first study to develop a LAMP method for the specific, sensitive, and rapid identification of A. citrinoannulata. Using the new colorimetric method described in this study, results can be obtained in a one-step readout, and the method, therefore, can be used to develop a kit for the on-site detection of A. citrinoannulata. Real-time fluorescence LAMP can be used for semi-quantitative detection of A. citrinoannulata. In particular, this study demonstrates the possibility of rapid and visual species identification, providing a convenient, accurate, field-adaptable, and low-cost tool for identifying A. citrinoannulata in a resource-limited environment. The advantages provided by the LAMP technology could contribute to large-scale screening and industrial quality control in many fields.

This work was supported by the National Key R&D Program of China [grant number 2019YFC1604700].

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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.