We demonstrate a method for the analysis of aflatoxins and transgene expression in peanut seeds that contain RNA-interference signals for silencing aflatoxin-synthesis genes in the fungus Aspergillus flavus. RNAi-mediated control of mycotoxins in plants has not been reported previously.
The Food and Agriculture Organization of the United Nations estimates that 25% of the food crops in the world are contaminated with aflatoxins. That represents 100 million tons of food being destroyed or diverted to non-human consumption each year. Aflatoxins are powerful carcinogens normally accumulated by the fungi Aspergillus flavus and A. parasiticus in cereals, nuts, root crops and other agricultural products. Silencing of five aflatoxin-synthesis genes by RNA interference (RNAi) in peanut plants was used to control aflatoxin accumulation following inoculation with A. flavus. Previously, no method existed to analyze the effectiveness of RNAi in individual peanut transgenic events, as these usually produce few seeds, and traditional methods of large field experiments under aflatoxin-conducive conditions were not an option. In the field, the probability of finding naturally contaminated seeds is often 1/100 to 1/1,000. In addition, aflatoxin contamination is not uniformly distributed. Our method uses few seeds per transgenic event, with small pieces processed for real-time PCR (RT-PCR) or small RNA sequencing, and for analysis of aflatoxin accumulation by ultra-performance liquid chromatography (UPLC). RNAi-expressing peanut lines 288-72 and 288-74, showed up to 100% reduction (p≤0.01) in aflatoxin B1 and B2 compared to the control that accumulated up to 14,000 ng.g-1 of aflatoxin B1 when inoculated with aflatoxigenic A. flavus. As reference, the maximum total of aflatoxins allowable for human consumption in the United States is 20 ng.g-1. This protocol describes the application of RNAi-mediated control of aflatoxins in transgenic peanut seeds and methods for its evaluation. We believe that its application in breeding of peanut and other crops will bring rapid advancement in this important area of science, medicine and human nutrition, and will significantly contribute to the international effort to control aflatoxins, and potentially other mycotoxins in major food crops.
Approximately 4.5 billion people are chronically exposed to aflatoxins 1, the most powerful carcinogens known in nature 2. These mycotoxins contaminate 25% of the food crops in the world 3, including maize, cassava, rice, nuts, cereals and spices. 4. Aflatoxins cause stunting in children 5, impair the immune system 6, are present in 58% of hepatocellular-carcinomas in human biopsies 7,8, and kill hundreds of people during periodic outbreaks of aflatoxicosis 9,10. Aflatoxins are polyketide-derived mycotoxins normally produced by Aspergillus flavus and A. parasiticus; aflatoxins B1 and B2 are produced by A. flavus, whereas A. parasiticus also produces G1 and G2. The chemical structure of these compounds and a chromatogram showing their separation by UPLC are shown in Figure 1.
Figure 1. Aflatoxins and RNAi insert. Top: chemical structure (left) and example of chromatogram (right) of the four most common polyketide-derived aflatoxins: B1, B2, G1 and G2, produced by Aspergillus parasiticus, A. flavus produces B1 and B2. Bottom: Schematic of gene fragments in the RNAi construct p5XCAPD used for peanut transformation, numbers under arrows are gene-fragment accession numbers in the Aspergillus flavus genome; PIV2: potato intron; bp: base pairs; RT_5X_1 and RT_5X_2: Real-Time PCR primer sites. Please click here to view a larger version of this figure.
Economic losses in exports due to aflatoxins in peanut alone exceed $450 million U.S. dollars if calculated based on the 4 ng.g-1 limit of aflatoxin allowed for human consumption in the European Union 11. Aflatoxins have been known for 60 years 12; however, though many agricultural practices were developed to mitigate their effect, including application of other fungal strains 13,14, no consistent method of control exists, and resistant plant varieties are not available. Testing plant germplasm for resistance to aflatoxins is particularly difficult, because even under conducive conditions for pathogen invasion, mycotoxin accumulation is unpredictable and does not follow a normal distribution. Thus, experiments usually require large planting areas, hundreds of seeds and multiple samples of 100-1,700 g to reduce variability of the data 15,16.
RNA interference was discovered in 1998 17; and the benefits of "silencing" are currently being explored in a number of new applications, e.g., in human therapies against metastatic breast cancer 18, liver cancer 19, myeloid leukemia 20, and in plant protection against insects 21 and nematodes 22. In plants, RNA interference signals can travel cell to cell, with small interfering RNA (siRNA) and high molecular weight RNA being responsible for the systemic posttranscriptional gene silencing 23,24, even inside fungal pathogens that are in close contact with plant host 25. The effectiveness of RNAi on plant-mediated silencing of fungal-pathogen genes has been described in few plant pathosystems, for these, visual examination of symptoms in the aerial parts of the plants (leaves) allowed disease quantification, i.e., oomycete Bremia in lettuce 26, Puccinia in wheat 27 and Fusarium in banana 28. Much more difficult is to evaluate RNAi effectiveness to control mycotoxins in plants, particularly aflatoxins in peanuts as the leaves show no symptoms of infection, the organs invaded (seeds) are under several inches of soil, the occurrence of infection is unpredictable, and only chemical analysis can determine the presence of aflatoxins. In addition, each transgenic event in peanut normally produces few seeds (4-6 per plant); therefore, traditional testing for a no-aflatoxin accumulation trait in large field plots, lasting entire cropping seasons, and using hundreds of seeds is not feasible. A method is described here to analyze in less than one week, RNAi peanut seeds for presence of transgene and for a no-aflatoxin accumulation trait, using only few seeds.
1. Molecular Construct and Peanut Transformation
2. Identification of Peanut Plants Harboring RNAi to Silence Aflatoxin Synthesis Genes
Figure 2. Preparation of peanut pods for analysis. Left: Different peanut sizes found at harvest as peanut is an indeterminate growth plant; Center: placing peanuts in metal basket for water pressure removal of exocarp; Right: maturity groups by mesocarp color on a peanut profile board (yellow, orange, brown and black). Please click here to view a larger version of this figure.
3. Experimental Setup
Name | Sequence | ||
DIR-1 | 5'- GCCAGCTCAAAAGTGCGATGCACCAAGGAGAAACCGGCCTGTGCT CGGTGTATCGAACGTGGTCTTGCCTGTCAATACATGGTCGTATTTG TGACCATGTTTCTGGTGGCATTGGACCGTCTTGTCATCTCTACAGCC ATTCCCCAGATCACGGACGAATCCCCTGCATCTACGCGCACGCATC ACTTGGGGTACCCGT-3' |
||
Short-Dir1-R | 5'-Phos-TACCCCAAGTGATGCGTGCGCG-3' | ||
DIR-2-inverted | 5'- GGTTATTGGGTGCAGAATGGTAAACCACCCAACAGTACGCGAAATG TCAATTCCAGAGTCCCAAACCTCCCTACCGTGGCCTGGACGGATAG TAAACTGCGGAGCTTGGGAACAAAATCCGCTGTCTGATCGCCGAAG AGAAAGAGTTGCCTTGATTGAGCCGCATCGAGGACAGGTTGTGTTG CTGTTGATAGACGGG-3' |
||
Short-Dir2-R | 5'-Phos-CTATCAACAGCAACACAACC-3' | ||
DirAll-cacc-Fw | 5'-CACCGCCAGCTCAAAAGTGCGATGC-3' | ||
DirAll-Nco-Rv | 5'-ATGCCATGGGGTTATTGGGTGCAGAATGG-3' | ||
DirAll-BamEco-Fw | 5'-ATGGGATCCGAATTCGCCAGCTCAAAAGTGCGATGC-3' | ||
Complete RNAi insert | 5’- GCCAGCTCAAAAGTGCGATGCACCAAGGAGAAACCGGCCTGTGCT CGGTGTATCGAACGTGGTCTTGCCTGTCAATACATGGTC/GTATTTG TGACCATGTTTCTGGTGGCATTGGACCGTCTTGTCATCTCTACAGCC ATTCCCCAGATCACGGACGAAT/CCCCTGCATCTACGCGCACGCAT CACTTGGGGTACCCGTCTATCAACAGCAACACAACCTGTCCTCGAT GCG/GCTCAATCAAGGCAACTCTTTCTCTTCGGCGATCAGACAGCG GATTTTGTTCCCAAGCTCCGCAGTTTACTATCCGTCCA/GGCCACGG TAGGGAGGTTTGGGACTCTGGAATTGACATTTCGCGTACTGTTGGG TGGTTTACCATTCTGCACCCAATAACC-3’ |
Table 1. Oligonucleotides and ultramers used to build the RNAi construct p5XCAPD. Phos: phosphorylated 5’ end; “/” separates the five gene fragments used; Complete RNAi insert: sequence used as 2 inverted repeats to form p5XCAPD.
Figure 3. Experimental setup. Top: Surface sterilization of peanut seeds before and after hypochlorite, removal of seed coats (testa); Middle: removal of embryo and close view of embryo, then cut cotyledon in half; Bottom: half cotyledons in sterile distilled water, blotting on sterile absorbent paper, dents on water agar, and placing of half cotyledons (cut side upwards) on the agar surface. Please click here to view a larger version of this figure.
Figure 4. Inoculation and incubation for aflatoxin analysis. Top: Half cotyledon, inoculation with spore suspension, and Aspergillus flavus mycelial growth on half cotyledon after 24 hr incubation. Bottom: left: incubation of 48 hr on 1.5% agar; center: incubation for 72 hr on 1.5% agar; right: example of incorrect experimental setup, incubation for 72 hr on 0.5% agar. Please click here to view a larger version of this figure.
4. Sampling for Aflatoxin Analysis and Gene Expression
5. Aflatoxin Analysis of Individual Half Cotyledon Pieces
6. Gene Expression, RT-PCR Processing of Samples
Plasmid p5XCAPD was made as a derivative of pCAPD 29, and used it to transform peanut plants; this vector carries inverted repeats of five small fragments, 70-80 bp each, of aflatoxin-synthesis genes of A. flavus separated by an intron (Figure 1). Fragments of AFL2G_07224 (aflR), AFL2G_07223 (aflS or aflJ), AFL2G_05027 (aflatoxin efflux pump, aflep), AFL2G_07228 (aflC/pksA/pksL1), and AFL2G_07731 (pes1) were used for the construct, numbers on Figure 1 correspond to A. flavus genome annotation in BROAD Institute, Cambridge, MA, and the literature 42. A total of 99 peanut lines were regenerated after going through the transformation process, 50 were PCR positive for NPTII detected by STN-PCR, and 33 lines were PCR positive and produced seeds. Only seven PCR positive lines were clonally propagated and tested by the present method for aflatoxin accumulation, all seven showed between 60% and 100% less aflatoxin accumulation than the control. Here we show results of two of those seven lines. As individual transgenic events usually produce few seeds, a method was developed to use a minimum number of seeds while still being able to do parametric statistical analysis. A flowchart of the sample preparation and experimental setup is shown in Figure 5 and Table 1. Though the first generation of transgenic seeds is typically hemizygous, it is expected that the cell-to-cell and systemic movement of small interfering RNA (siRNA) generated through RNA interference should confer aflatoxin-synthesis silencing throughout the plant.
Figure 5. Schematic flowchart of the method to analyze effectiveness of RNAi in silencing Aspergillus aflatoxin-synthesis genes in peanut seeds. Graphic representation of the work flow when processing peanut samples for gene expression or aflatoxin analysis. Please click here to view a larger version of this figure.
RNAi peanut lines 288-72 and 288-74 showed presence of the NPTII selectable maker when tested by STN-PCR, gel sections are shown in Figure 6 (top), original pictures are available from the authors upon request. Plasmid pCAPD was not used as a control of transformation since it encodes inverted repeats of two genes Cmr (chloramphenicol resistance) and CcdB (toxin) of unknown effect on plants. PCR negative peanut line 288-9 and others which went through the regeneration process and was grown in the same conditions as RNAi lines, were used as negative control.
Figure 6. Detection of transgenics and Real Time expression of RNAi insert. Top: Single-tube, Nested PCR detection of transgenic peanut lines RNAi-288-72 and RNAi-288-74, positive plants. Controls: W (water), PP (positive plant), MM (master mix), p (plasmid p5XCAPD); fractions 1/2 1/4 1/8 1/16 represent 2-fold dilutions of DNA. Bottom: Real-Time PCR detection of expression of the RNAi insert (primer sets: RT_5X_1, RT_5X_2, as in Figure 1, on immature (yellow) and mature (brown) cotyledons of transgenic lines at 24 and 48hr incubation; gray line: CT = 1. Histograms represent the means and standard error bars (T) of three biological samples with three technical replicates. The relative quantification of RNAi insert was normalized with respect to the housekeeping gene Actin as an internal control and comparative fold expression of the transgene calculated as described in 5.2.2 and 5.3. Please click here to view a larger version of this figure.
To test the effectiveness of plant-host RNAi-mediated potential control of aflatoxin accumulation, freshly harvested conidia of Aspergillus flavus NRRL 3357 were applied on the cut surface of half cotyledons from which the embryos and testa had been removed (Figures 3, 4). A. flavus NRRL 3357, for which the genome has been sequenced and was the basis for designing p5XCAPD, was kindly provided by Dr. Horn at USDA-ARS-NPRL. The resulting fungal invasion of half cotyledon after 24, 48 and 72 hr at 30 °C is shown in Figure 4. Samples of inoculated half cotyledons were collected at 24, 48, 72, 96 hr of incubation, and analyzed for the main four aflatoxins B1, B2, G1 and G2 using UPLC and confirmed by LC-MS; results are shown in Figure 6. Aflatoxin concentrations were determined using a published method with modifications 36. At 96 hr incubation, cotyledons start to disintegrate because of the fungal infection. RNAi line 288-72 exhibited significantly lower levels of aflatoxins than the control at all sampling dates in immature cotyledons and at most sampling dates in the mature ones. RNAi line 288-74 showed significantly lower levels of aflatoxins at most sampling dates. Levels of significance of Tukey's test are indicated with asterisks in the graphic of Figure 7.
Figure 7. Aflatoxins B1 and B2 in half peanut cotyledons after incubation (24, 48, 72 and 96 hr) with Aspergillus flavus. Control: seeds of 288-9 non-transgenic line; RNAi: seeds from RNAi-288-72 and RNAi-288-74, transgenic for RNAi p5XCAPD to silence five aflatoxin-synthesis genes. (A) Aflatoxin B1 in mature seeds (brown); (B) Aflatoxin B2 mature seeds; (C) Aflatoxin B1 in immature seeds (yellow) and (D) Aflatoxin B2 in immature seeds. Mean values with the corresponding standard error bars (T) of duplicate biological samples are represented. Statistically significant differences Tukey's test *: p ≤ 0.05, **: p ≤ 0.01, ***: p ≤ 0.001. Please click here to view a larger version of this figure.
Overall, RNAi-288-72 showed throughout the experiment (24 to 96 hr incubation), a 94%-100% reduction in aflatoxin B2, and a 90%-100% reduction in aflatoxin B1 compared to the control. RNAi-288-74 showed a 63%-100% reduction in aflatoxin B2 and 60%-100% reduction in aflatoxin B1, Figure 7.
Primers used for Real-Time PCR detection of expression of the RNAi insert are shown in Figure 1. Peanut-seed cotyledons were analyzed without embryos, to remove their natural defenses and be able to detect the potential effect of RNAi on the area most exposed to fungal invasion, the cotyledons. Expression of the RNAi insert detected in immature cotyledons (yellow) of line 288-74 by primer set RT_5X_1 was four fold over the CT=1 threshold of the negative control, and by primer set RT_5X_2 was 19 fold above the threshold, all at 24 hr incubation. At least three out of five consecutive gene fragments used in the peanut transformation, 5027, 7223 and 7228 (aflep, aflS/aflJ, and aflC/pksA, respectively) were detected by RT-PCR (Figure 1, 6). Expression of RNAi insert was not detected in mature cotyledons at 24 hr, or on mature or immature cotyledons at 48 hr incubation, Figure 6 (bottom).
Peanut Line | Time of sampling | Samples for RT-PCR | Samples for aflatoxin analysis (inoculated) | Number of seeds | ||||
(non inoculated) | ||||||||
Rep 1 | Rep 2 | Rep 3 | Rep 1 | Rep 2 | Rep 3 | |||
RNAi (yellow) | 24 hr | 1 | 1 | 1 | 1 | 1 | 1 | 4.5 |
48 hr | 1 | 1 | 1 | 1 | 1 | 1 | ||
72 hr | 1 | 1 | 1 | 1 | 1 | 1 | ||
Control | 24 hr | 1 | 1 | 1 | 1 | 1 | 1 | 4.5 |
(yellow) | 48 hr | 1 | 1 | 1 | 1 | 1 | 1 | |
72 hr | 1 | 1 | 1 | 1 | 1 | 1 |
Table 2. Example of small-sample setup to analyze gene expression and aflatoxin accumulation in RNAi peanut seeds. Complete analysis of expression and aflatoxins for one maturity group (i.e., yellow), with three sampling times (24, 48 and 72 hr), in triplicate, would require 4.5 seeds, each number one in the table represents half cotyledon.
Plant-host RNAi-mediated silencing of genes in fungal pathogens has been demonstrated 27,43, however, there are no publications showing the feasibility of RNAi-mediated control of mycotoxin accumulation in plants. One limiting factor for these studies in peanut was the lack of a method to evaluate a no-aflatoxin accumulation phenotype in individual plants, as leaves show no symptoms upon fungal infection of underground pods. In addition, the not-normally distributed accumulation of aflatoxins, and the need for large samples for chemical analysis 15,16 have hindered the quantification of potential RNAi effect on a single plant. The method presented here consists of 72 hr experiments using five seeds to perform three 24 hr-interval samplings in triplicate (Table 1, Figure 7). Compared to the typical aflatoxin analysis that requires no less than 100 g of seeds, our method is particularly suitable for individual transgenic events of peanut plants which initially produce no more than two or three pods.
RNA-mediated silencing of aflatoxin synthesis has been demonstrated by genetically transforming Aspergillus flavus and A. parasiticus. Since aflR is a main regulator of aflatoxin production in A. flavus and A. parasiticus44,45, it becomes an interesting target for RNA-mediated silencing in plants. However, genetic variations in aflR have been shown among Aspergillus species 46, and those genetic variants could escape silencing if there is no perfect sequence matching with the RNAi signal produced in the plant host. Thus, aflR was one of the targets for silencing in vector p5XCAPD, but was not the only one. Inverted repeats of the aflR gene introduced into A. flavus and A. parasiticus by transformation resulted in silencing and minimal or no production of aflatoxins 47(McDonald et al., 2005b). Also, silencing aflD gene prevented aflatoxin production by up to 98% in A. flavus and A. parasiticus in direct transformation 48. To increase the probability of success in our system, peanut was transformed with inverted repeat fragments of five genes involved in aflatoxin production in A. flavus. Here it is shown that using p5XCAPD that targets for silencing several genes in the aflatoxin synthesis pathway, 90%-100% lower levels of aflatoxin B1 and B2 were achieved in line 288-72, and 60-100% lower levels accumulated in line 288-74 compared to the control, when half cotyledons were inoculated with A. flavus, Figures 4, 7. Most importantly, this method detected statistically significant differences in aflatoxin accumulation by lines 288-72, 288-74 vs. the control throughout the experiment by applying parametric statistics, Figure 7. Given the small sample size, it is important to highlight the need for using a powerful method to detect aflatoxins, these experiments were analyzed by UPLC which has a high resolution, five-fold higher performance and three times higher sensitivity than HPLC 49.
Expression of the RNAi insert in 288-74 was only detected in immature cotyledons (yellow) at 24 hr incubation. The RNAi insert was not detected by RT-PCR on mature cotyledons of 288-74 at 24 hr, or on any maturity group at 48 hr, Figure 6. This same phenomenon was observed in other RNAi transgenic peanut lines (Arias, R.S., 2015 unpublished), where usually RNAi transcripts were only detected on immature cotyledons at 24 hr. RNA samples were treated with DNAse before cDNA synthesis, data were normalized to the level of Actin expression and no evidence of DNA contamination was observed. Should DNA have been present in the samples, it should have been detected in the 48 hr samples as well, but consistently that was not the case. Expression under the control of the 35S-promoter is not always uniform; it can be affected by environmental conditions 50, type of tissue and developmental stage 51,52. At the same time, in the pathway of RNA interference, the rate of mRNA decay and the rate of siRNA decay can vary significantly 53. It is possible that the rapid degradation of the mRNA by the mechanism of RNA interference could have prevented mRNA detection at 48 hr incubation. Whether absence of expression at 48 hr was due to low 35S-promoter driven transcription, or to fast degradation of dsRNA by Dicer remains to be answered. Thus, detection of small RNAs by high throughput sequencing would give a better insight on the processes taking place through RNAi 54 in these experiments. However, since RNA silencing spreads systemically, mainly through the phloem from photosynthate sources to sucrose sinks (in this case peanut seeds) 55, the silencing of aflatoxin-synthesis can occur in seeds without local expression of the RNAi insert. Much research remains to be done to determine the threshold level of small interfering RNAs (siRNAs) necessary to prevent aflatoxin accumulation in seeds. It is important to emphasize the fact that both, mRNA expression of the RNAi construct (Figure 6), and accumulation of aflatoxins B1 and B2 (Figure 7) showed different results for immature (yellow) vs. mature (brown) cotyledons. Peanut plants have indeterminate growth, that is, they present at harvest a range of maturity pods, Figure 2. In addition, seeds from different maturity groups differ in their chemical composition, e.g., 2.4% sucrose in immature seeds, and 1.9% in mature seeds under the same field conditions 56,57. Thus, to understand the actual efficiency of RNA-mediated control of aflatoxin accumulation, it is important to analyze maturity groups separately.
A natural defense of peanut seeds is the production of phytoalexins, which varies in the diversity of compounds produced and their relative quantities depending on the maturity of the seeds and environmental conditions 58-61, and it is particularly higher in embryos compared to cotyledons 62. Embryos also have significantly higher concentrations of nucleic acids, both DNA and RNA than the cotyledons (Arias R.S., unpublished). As peanut seeds mature, changes in their physiology and chemical composition occur 63. Phenolic antioxidants in peanut testa form condensed tannins with fungistatic activity 64; this is also evident in the mesocarp color that reflects maturity stages, yellow to black 35, as its content of tannins and phenolic compounds increases with maturity 65. Thus, presence of testa or embryos in the experiment, given their antimicrobial properties, could have limited fungal growth and therefore overestimated the effect of RNAi silencing, therefore, they were removed. Also, removal of testa and embryos helps limit the sources of variation in the analysis, as the half cotyledon that carries the embryo will have more phytoalexins and more RNA content.
In addition to the analysis by maturity groups and removal of testa and embryo in these experiments, it is important to point out few more observations: a) though results are shown for up to 96 hr incubation, it is recommended to use no more than 72 hr to obtain consistent results, as seeds get degraded by 96 hr; and b) whereas half cotyledons from the same seed, though sampled at random, do not constitute perfectly independent samples, RT-PCR and aflatoxin accumulation within transgenic events showed minimum variation between seeds. Also, an accurate fungal spore count, inoculum volumes of 2 μl, and application of spores on the cut surface of the cotyledons avoiding dripping on the sides are important to make sure the germinated spores are exposed to the plant tissue. The water/agar on the plates should be at 1.5% (w/v), softer agar causes runoff of spores as shown on the last frame of Figure 4 (bottom). Should seed availability from a particular transgenic event be limited, sampling can be done in duplicate instead of triplicate obtaining similar results (i.e., Figure 7); however, triplicate samples will help reduce the standard error. The only limitation of this method is that it requires a highly sensitive system (UPLC) for aflatoxin detection/quantification, but at the same time this reduces the probability of overestimating the effect of RNAi should aflatoxins not be detected by less sensitive methods.
In conclusion, this method offers for the first time a reliable approach to study the effect of RNAi in the control of aflatoxins. Reducing the time for an experiment from an entire cropping season to less than one week, this method will tremendously accelerate the research on RNAi-peanut/Aspergillus pathosystem towards the mitigation and/or elimination of aflatoxins.
The authors have nothing to disclose.
This work received the financial support of USDA-ARS CRIS project 6604-21000-004-00D, CRIS project 6604-42000-008-00D, and USAID Feed-the-Future program Agreement number 58-0210-3-012. We thank Valerie Orner, LaTanya Johnson, Joseph Powell and Kathy Gray for their technical assistance. Mention of trade names or commercial products in this article is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the US Department of Agriculture.
Primers, oligonucleotides | DNA Technologies, Coralville, IA, USA | n/a | |
Dneasy Plant Mini Kit | Qiagen, Valencia, CA | 69106 | |
Czapek Dox agar medium | Oxoid, by Thermo Fisher Scientific, Waltham, MA | CM0095 | |
Agar | Thermo Fisher Scientific, Waltham, MA | BP 1423 | |
Freezer -80°C | n/a | n/a | |
Aluminum Oxide, Al2O3 | Fisher Scientific | A941 | |
SPE Reservoirs 1.5 mL | Grace Davison Discovery Scientific | 210011 | |
Frits for 1.5 mL SPE reservoir | Grace Davison Discovery Scientific | 211401 | |
Autosampler vials | Waters Corporation, Milford, MA | 186005221 | |
Waters Acquity Ultra-Performance Liquid-Chromatography (UPLC) instrument; UPLC-H-Class Quaternary Solvent Manager; UPLC Sample Manager; UPLC Fluorescent detector (FLR); UPLC BEH C18 2.1mmx50mm, 1.7mm column | Waters Corporation, Milford, MA | ||
Finnigan LCQ Advantage MAX ion trap mass spectrometer, with Xcalibur version 1.4 software | Thermo Electron Corp., San Jose, CA | ||
Aflatoxin standards, B1, B2, G1 and G2 | Sigma-Aldrich, St. Louis, MO | A6636; A9887; A0138; A0263 | |
Systat Software 12.2 | SYSTAT Software Inc., Point Richmond, CA | ||
Trizol reagent | Invitrogen, CA | 15596-018 | |
SuperScript III First Strand Synthesis Super Mix | Invitrogen, CA | 11752-050 | |
ABI 7500 Real-Time PCR | Lifetechnologies, Grand Island, NY | 4406984 | |
Luria Broth-Miller | Fisher Scientific | R453642 | |
pENTR1A | Invitrogen, CA | A10462 | |
LR Clonase II enzyme mix | Invitrogen, CA | 11791-020 | |
T4 DNA Ligase | NEB Biolabs | M0202L | |
Gelrite | Sigma-Aldrich, St. Louis, MO | G1919 | |
Acetosyringone | Sigma-Aldrich, St. Louis, MO | D134406 | |
QIAcube robot workstation | Qiagen, Valencia, CA | 9001292 | |
Antibiotics: kanamycin, cefotaxime, gentamicin; streptomycin | Goldbio, St. Louis, MO | cef.: C-104-25; kan: K-120-5; gent.: G-400-1; strep.: S-150-50 | |
Platinum Taq DNA Polymerase High Fidelity | Invitrogen, CA | 11304-029 |