Development of an indirect competitive enzyme-linked immunosorbent assay applied to the Botrytis cinerea quantification in tissues of postharvest fruits
© Fernández-Baldo et al; licensee BioMed Central Ltd. 2011
Received: 13 June 2011
Accepted: 4 October 2011
Published: 4 October 2011
Botrytis cinerea is a phytopathogenic fungus responsible for the disease known as gray mold, which causes substantial losses of fruits at postharvest. This fungus is present often as latent infection and an apparently healthy fruit can deteriorate suddenly due to the development of this infection. For this reason, rapid and sensitive methods are necessary for its detection and quantification. This article describes the development of an indirect competitive enzyme-linked immunosorbent assay (ELISA) for quantification of B. cinerea in apple (Red Delicious), table grape (pink Moscatel), and pear (William's) tissues.
The method was based in the competition for the binding site of monoclonal antibodies between B. cinerea antigens present in fruit tissues and B. cinerea purified antigens immobilized by a crosslinking agent onto the surface of the microtiter plates. The method was validated considering parameters such as selectivity, linearity, precision, accuracy and sensibility. The calculated detection limit was 0.97 μg mL-1 B. cinerea antigens. The immobilized antigen was perfectly stable for at least 4 months assuring the reproducibility of the assay. The fungus was detected and quantified in any of the fruits tested when the rot was not visible yet. Results were compared with a DNA quantification method and these studies showed good correlation.
The developed method allowed detects the presence of B. cinerea in asymptomatic fruits and provides the advantages of low cost, easy operation, and short analysis time determination for its possible application in the phytosanitary programs of the fruit industry worldwide.
Botrytis cinerea is a pathogen ascomycete, which causes gray mold on a large number of economically important agricultural and horticultural crops [1–4]. This ubiquitous fungal pathogen is present often as latent infection. Latency is generally defined as the period between infection and the appearance of visible symptoms and can in the case of B. cinerea be long and variable [5–8]. Consequently, an apparently healthy fruit can deteriorate suddenly due to the development of this latent infection [9, 10].
Many synthetic fungicides are used as the principal mean of controlling this important postharvest disease . However, the growing public concern over the health and environmental hazards associated with fungicide use in orchards, the development of fungicide resistant strains of B. cinerea , and the deregistration of some of the most effective fungicides , have generated a great interest in the development of alternative methods to control the postharvest disease caused by this fungal pathogen.
To prevent the indiscriminate use of fungicides, a sensitive and reliable method to early determination of the fungus in fruit tissues becomes crucial. The ability to detect latent infections in fruit tissues should prove useful not only for early disease management but also for identifying infected fruit in postharvest. In addition, the quantification of the pathogen is necessary for the application of alternative methods of control, such as biological control using antagonist microorganisms because the success of this method depend of the ratio antagonist/pathogen .
The detection of fungus in fruit includes classical methods such as isolation on selective media, which is useful but subject to limitations  due to many pathogens can be masked by overgrowth of faster growing fungi. Other methods, such as quantitative real-time polymerase chain reaction (Q-PCR), or reverse transcription polymerase chain reaction (RT-PCR) represent new tools for the detection of the pathogens by determination of their DNA/RNA [16–25]. Unfortunately these methods are expensive and not easy to perform routinely, because they require highly qualified personnel and need sophisticated instrumentation [26, 27]. In addition, to methods mentioned previously, some direct enzyme-linked immunosorbent assays (ELISAs) using microtiter plates have been developed for the detection of B. cinerea in pear steam, grape juice, and plants [28–32], but at present has not been reported any validated method based in an indirect competitive immunoassay for detection and quantification of the mentioned fungus in tissues of fruits.
The aim of this study was the development and corroboration of a sensitive and specific ELISA for B. cinerea quantification in fruit post-harvest tissues such as apple (Red Delicious), table grape (pink Moscatel), and pear (William's). The determination of B. cinerea was based in an indirect competitive immunoassay that used purified B. cinerea antigens, which were immobilized on the surface of the microtiter plates by a crosslinking agent. The B. cinerea specific monoclonal antibodies (BC-12.CA4) were allowed to react immunologically with immobilized antigens and with B. cinerea antigens present in the fruit sample. These antigens compete for the binding site of antibodies. Those antibodies whose binding site reacted with the immobilized antigens were detected by a horseradish peroxidase (HRP) enzyme-labeled second antibodies specific to mouse IgG, using a substrate solution. The response colour obtained from the product of enzymatic reaction (P) was measured by an ELISA microplate reader at 490 nm and the colour signal was inversely proportional to the amount of B. cinerea antigens present in the fruit sample. The method was validated considering parameters such as selectivity, linearity, precision, accuracy, and sensibility. The results obtained were correlated with the damage produced in the infected fruits by the pathogen and with the DNA of B. cinerea that was recovered from the lesions.
Results and discussion
Preparation of antigens and samples
The preparation of purified antigen and samples included a treatment with liquid nitrogen with the aim of exposing the antigenic sites. In preliminary tests this step was not taken into account, and the resulting signal was very low. According Meyer et al, the monoclonal antibody, BC-12.CA4 recognizes an antigen, possibly a glycoprotein, with the antigenic binding site on L-rhamnose and the treatment with liquid nitrogen help to expose these sites in high quantities .
Purified antigens were immobilized on the surface of the microtiter plates by a crosslinking agent and were stable for at least 4 months.
Quantitative test for the determination of B. cinerea
The fruit samples consisted in apples (Red Delicious), table grape (pink Moscatel), and pear (William's) without any postharvest treatment and were purchased from a local fruit market in San Luis City, Argentina
The method was applied for the determination of B. cinerea in 50 commercial fruit samples. All fruits were selected as much as possible homogeneous in maturity and size.
Because the developed method was based in a competition between B. cinerea purified antigens immobilized onto the surface of the microtiter plates, and B. cinerea antigens present in fruit tissues, the absorbance at 490 nm was inversely proportional to the amount of the B. cinerea antigen present in the fruit sample.
The coefficient of variation (CV) for the determination of 25 μg mL-1 B. cinerea was below 4% (six replicates).
Within-assay precision (five measurements in the same run for each control) and between-assay precision (five measurements for each control, repeated for three consecutive days).
a Control solution
5 μg mL-1
25 μg mL-1
75 μg mL-1
Correlation between the lesion diameters of the fruit samples, the amount of B. cinerea antigen determinated by the ELISA developed and the DNA of B. cinerea quantified from infected fruit extracts samples obtained at 4, 7, and 10 days of incubation (25°C), respectively.
Days of incubation
bLesion diameters (mm/rot)
c B. cinereaantigen
c DNA- B. cinerea
10.53 ± 0.48
10.22 ± 0.53
20.11 ± 0.54
40.67 ± 0.37
38.75 ± 0.41
50.09 ± 4.49
69.08 ± 0.43
71.19 ± 0.37
Table grapes (pink Moscatel)
14.26 ± 0.51
13.86 ± 0.54
3.69 ± 0.52
49.03 ± 0.46
51.99 ± 0.42
5.35 ± 0.14
77.18 ± 0.36
75.84 ± 0.41
11.29 ± 0.47
12.76 ± 0.51
15.13 ± 1.23
41.78 ± 0.55
41.44 ± 0.48
38.98 ± 1.67
70.84 ± 0.49
72.39 ± 0.52
Reproducibility assays using repetitive standards (n = 6) of 25 μg mL-1 B. cinerea antigen concentration.
Standards of 25 μg mL-1B. cinereaantigen
Proposed method (μg mL-1)
a X ± SD
24.93 ± 0.52
The results obtained showed that the method developed had a lower Detection Limit and a shorter total assay time, than the non-competitive ELISA previously reported, and provided a wider dynamic range [28–32]. In addition, this method ELISA was developed for the quantification of B. cinerea in a complex matrix such as fruit tissues (apples, table grapes and pears samples).
Cross-reactivity studies with fungi isolated from fruits
The cross reactivity test of the monoclonal antibody for B. cinerea with the fungi frequently isolated from fruits (apples, table grapes and pears) resulted in no cross-reactions, indicating that the antibody was specific to B. cinerea. The phytopathogens assayed were Penicillium expansum CEREMIC 151-2002, Aspergillus niger NRRL 1419, Aspergillus ochraceus NRRL 3174, Alternaria sp. NRRL 6410, Rhizopus sp. NRRL 695. In all cases absorbance read at 490 nm corresponded to maximum value indicating that the sample did not contain competitive antigens. We confirmed findings obtained by Meyer et al. , that BC-12.CA4 is highly selective to B. cinerea.
Comparison of the proposed method with a DNA quantification method
The method developed was compared with a DNA quantification method  for B. cinerea in 45 fruit samples (15 fruit samples of each kind: apple, table grape and pear). Concentrations of DNA were detected spectrophotometrically by measuring absorbance changes at 260 nm showed good integrity by the high molecular weight bands on electrophoresis (data not shown). The analysis was carried out with the extracts of fruits at 4, 7, and 10 d of incubation (25°C), simultaneously with ELISA assay. The results obtained indicate a good correspondence between the two methods (Table 2). These results suggest that the sensitivity reached for this procedure allow determining very low level of B. cinerea antigens in apparently healthy fruit that can deteriorate suddenly due to the development of latent or quiescent infection into visible disease. Also, the DNA quantified by the method developed by González et al.  from uninfected and infected fruit extracts samples was amplified by PCR, with the purpose of verify if the same correspond to specific DNA of B. cinerea .
In the present study, a specific and sensitive indirect competitive ELISA for the quantification of B. cinerea in commercial apple, table grape and pear samples was developed and validated. This inexpensive and simplified method can be applied for 96 fruit samples, per each microtiter plate with a total time for the assay of 35 min. Preparations of immobilized antigen on surface microtiter plates were perfectly stable for at least 4 months assuring the reproducibility of the assay. This is one important advantage for the possible commercialization of the developed ELISA.
The results obtained suggest that the sensitivity reached for this procedure allows determining very low levels of B. cinerea antigens in apparently healthy fruits. Also, the validation procedures showed that the method developed was reliable and accurate and that was possible to correlate the quantities of B. cinerea antigens with DNA of B. cinerea present in fruit tissues. In addition, the immunological reaction between monoclonal antibodies for B. cinerea and antigens from others fungi, frequently isolated from fruits resulted in no cross-reactions.
In conclusion, this method promises to be particularly useful in the analysis of symptomless fruits, either to locate latent infections, avoiding thus, conventional culturing techniques, which are not only time-consuming, but also are not able to give a quantitative result.
Reagents and Solutions
All reagents used were of analytical reagent grade. The monoclonal antibody for B. cinerea (BC-12.CA4) and the secondary antibody-enzyme conjugate (anti-mouse polyvalent immunoglobulins peroxidase conjugate) were obtained from ADGEN diagnostics (Auchincruive, Scotland) and Sigma Chemical (St. Louis, MO, USA) respectively. Glutaraldehyde (25% aqueous solution), hydrogen peroxide (H2O2), sodium clorure (NaCl) and sulfuric acid (H2SO4) were purchased from Merck (Darmstadt, Germany). Bovine serum albumin (BSA), Horseradish peroxidase (HRP), orthophenylenediamine (OPD) and Tween 20 were purchased from Sigma-Aldrich (St. Louis, MO, USA). All other reagents employed were of analytical grade and were used without further purification. Aqueous solutions were prepared using purified water from a Milli-Q-system. ELISA plate (Costar 3590, high binding polystyrene, 96 wells assay plate) was purchased from Costar (Corning, Massachusetts, USA).
All solutions and reagents were conditioned to 37°C before the experiment, using a laboratory water bath Vicking Mason Ii (Vicking SRL, Argentina).
All pH measurements were made with an Orion Expandable Ion Analyzer (model EA 940, Orion Research, Cambridge, MA, USA) equipped with a glass combination electrode (Orion Research).
Absorbance was measured with an automatic ELISA reader (Bio-Rad 3550-UV Microplate Reader, Japan) and Beckman DU 520 General UV/vis spectrophotometer (USA).
All polymerase chain reactions (PCR) were carried out on the PCR Thermocycler (BIO-RAD, USA).
Microscopic studies were carried out on the Olympus CH 30 (Spectra services, N.Y., USA).
The primers used for PCR assays were: ribosomal region 18S (IGS spacer) 5'-ATGAGCCATTCGCAGTTTC-3' (GenBank Accession no: J01353). To determine the transposable elements status of each isolate, whether they were of vacuma or transposa type, we focused on the detection of Flipper with the primers F-300 5'GCACAAAACCTACAGAAGA-3' (GenBank Accession no: U74294) and the detection of Boty with the two primers B-R 5'-TAACCTTGTCTTTGCTCATC-3 and B-L 5'-CCCAATTT-ATTCAATGTCAG-3'. (GenBank Accession no: X81790 and X81791).
Each reaction was performed with: 6 μL of primers, 2.5 μL of dNTP, 2.5 μL of DNA, 2.5 μL of Mg+2, and 0.5 μL of Taq polymerase in a total volume of 50 μL.
PCR amplification conditions were: an initial denaturing step of 94°C by 4 s; 35 cycles of 94°C by 1 s, 60°C by 1 s and 72°C by 210 s; and a final elongation step of 4 s at 72°C (Muñoz et al., 2008). The products were analyzed on agarose gel 2%, stained with ethidium bromide and then observed under UV light (Figure 3).
Preparation of the B. cinerea antigens
The purified B. cinerea antigens were prepared following the same procedure as a previous work .
B. cinerea Pers.: Fr (BNM 0527) was used in this study. The strain is deposited in the National Bank of Microorganisms (WDCM938) of the Facultad de Agronomia, Universidad de Buenos Aires (FAUBA). The isolates were maintained on potato dextrose agar (PDA) at 4°C.
To induce the mycelial production, B. cinerea was grown on PDA for 8-12 days at 21 ± 2°C. After this incubation period, the mycelium was removed, frozen in liquid nitrogen, blended in a Waring® blender, and freeze-dried to obtain a fine powder. Then, the fine powder was suspended in 0.01 M phosphate buffer (PBS, pH 7.2) and centrifuged at 1000 × g for 10 min. The supernatant, which contained the antigen, was stored in 0.01 M PBS, pH 7.2, at -20°C between uses. In this study, the concentration of antigen was expressed as Botrytis antigen units (B-AgU), which was equivalent to μg mL-1 PBS extracts of freeze-dried fungal mycelium .
To induce the conidial production, B. cinerea was grown on PDA at 21 ± 2°C until apparition of the mycelium, then the cultures were maintained at 15°C during a week. The conidia were harvested and suspended in 10 mL of sterile 0.01 M PBS (pH 7.2) containing 0.05% (v/v) Tween 80.
Finally, the concentration of spore suspension was determined with a Neubauer chamber and adjusted with in 0.01 M PBS (pH 7.2) to 1 × 105 conidia mL-1. This conidia suspension was used to infect the fruit samples.
Immobilization of purified antigen of B. cinerea on surface microtiter plates
As the first step of the immobilization of purified antigen procedure, the microtiter plates were coated and incubated 4 h at room temperature in a moist chamber, with 100 μL per well of an aqueous solution of 5% (w/w) glutaraldehyde at pH 10 (0.20 M sodium carbonate buffer) diluted 1:2 in 0.1 M PBS (pH 5). After washing twice with 0.1 M PBS (pH 5), 100 μL per well of antigens preparation (10 μg mL-1 0.01 M PBS, pH 7.2) were coupled to the residual aldehyde groups for 3 h at 37°C. Later, two washes with 0.9% NaCl and three washes with 0.01 M PBS (pH 7.2) were carried out. After these wash steps, the surface of each well was blocked with 200 μL of 1.5% BSA in 0.01 M PBS (pH 7.2) for 1 h at 37°C. The immobilized antigen was washed three times with PBST (0.8% NaCl, 0.11% Na2HPO4, 0.02% KH2PO4, 0.02% KCl, 0.05% Tween 20, pH 7.2).
Finally allowed to dry 5 min at room temperature and stored at -20°C until use. Preparations of immobilized antigen were perfectly stable for at least 4 months.
Indirect competitive ELISA for the B. cinerea quantification
Preparation of infected fruit extracts samples
The preparation of infected fruit extracts samples was carried out according to the procedure described in our previous article .
In a first step, the fruit samples were infected using a spore suspension (1 × 105 conidia mL-1). Apples, pears, and table grapes were wounded using a punch. The wound size of apples and pears was 3 mm × 3 mm × 3 mm, whereas the one of table grapes was 1 mm × 1 mm × 1 mm. After that, 20 μL of the conidia suspension was put into each wound. Then, the fruits were kept at 25°C and the evaluations of rot incidence and lesion diameters were made over 10 days. Ten fruits were used for each assay with three wounds each. Each experiment was repeated three times.
In a second step, fruit tissues infected and uninfected were removed and were ground to a fine powder in liquid N2.
Finally, the infected fruit extracts samples were prepared by adding 0.1 g of powdered fruit tissue into 0.9 mL of 0.01 M PBS (pH 7.2) and vortexed for 1 min to obtain a homogeneous suspension, which was used in the immunological assay.
Description of the immunological test
The stock solution of substrate was prepared freshly before the experiment and stored in the darkness for the duration of the experiment.
Cross-reactivity studies with fungi isolated from fruits
For the cross reaction study, the phytopathogenic fungi most common in Argentina were assayed. Penicillium expansum CEREMIC 151-2002, Aspergillus niger NRRL 1419, Aspergillus ochraceus NRRL 3174, Alternaria sp. NRRL 6410, Rhizopus sp. NRRL 695) were isolated from fruits (apples, table grapes and pears). Single spore cultures were incubated on PDA for 7 to 10 days at 21 ± 2°C. Water-soluble surface antigens were removed from plate cultures by flooding plates with 5 mL of 0.01 M PBS, pH 7.2. Solutions obtained previously were transferred to 1.5-mL eppendorf tubes and centrifuged to remove particulate materials. The supernatant was diluted 1:5 with 0.01 M PBS, pH 7.2 and used as described our method above, except that the 25 μL of fruit extracts were replaced for 25 μl of the diluted supernatant (phytopathogenic fungi isolated from fruits). Finally, the absorbance was measured by ELISA microplate reader at 490 nm.
The authors wish to thank the financial support from the Universidad Nacional de San Luis, the Agencia Nacional de Promoción Científica y Tecnológica, and the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET).
- Dewey F, Hill M, DeScenzo R: Quantification of Botrytis and laccase in wine grapes. Am J Enol Vitic. 2008, 59: 47-54.Google Scholar
- Dewey F, Meyer U: Rapid quantitative tube immunoassays for on-site detection of Botrytis, Aspergillus and Penicillium antigens in grape juice. Anal Chim Acta. 2004, 513: 11-19. 10.1016/j.aca.2003.11.088.View ArticleGoogle Scholar
- Muñoz C, Gómez Talquenca S, Volpe M: Tetra primer ARMS-PCR for identification of SNP in β-tubulin of Botrytis cinerea, responsible of resistance to benzimidazole. J Microbiol Meth. 2009, 78: 245-246. 10.1016/j.mimet.2009.06.007.View ArticleGoogle Scholar
- Mosbach A, Leroch M, Mendgen KW, Hahn M: Lack of evidence for a role of hydrophobins in conferring surface hydrophobicity to conidia and hyphae of Botrytis cinerea. BMC Microbiology. 2011, 11: 10-21. 10.1186/1471-2180-11-10.PubMedPubMed CentralView ArticleGoogle Scholar
- De Kock S, Holz G: Blossom-end rot of pears: systemic infection of flowers and immature fruit by Botrytis cinerea. J Phytopathol. 1992, 135: 317-327. 10.1111/j.1439-0434.1992.tb04317.x.View ArticleGoogle Scholar
- Jarvis W: Latent infections in the pre- and postharvest environment. Hort Science. 1994, 29: 749-751.Google Scholar
- Lavy-Mair G, Barkai-Golan R, Kopeliovitch E: Initiation at the stage of postharvest Botrytis stem-end rot in normal and non-ripening fruits. Ann Appl Biol. 1988, 112: 393-396. 10.1111/j.1744-7348.1988.tb02077.x.View ArticleGoogle Scholar
- McNicol R, Williamson B: Systemic infection of black currant flowers by Botritis cinerea and its possible involvement in premature abscission of fruits. Ann Appl Biol. 1989, 114: 243-254. 10.1111/j.1744-7348.1989.tb02101.x.View ArticleGoogle Scholar
- Morales-Valle H, Silva L, Paterson R, Oliveira J, Venâncio A, Lima N: Microextraction and Gas Chromatography/Mass Spectrometry for improved analysis of geosmin and other fungal "off" volatiles in grape juice. J Microbiol Meth. 2010, 83: 48-52. 10.1016/j.mimet.2010.07.013.View ArticleGoogle Scholar
- Thompson J, Latorre B: Characterization of Botrytis cinerea from table grapes in Chile using RAPD-PCR. Plant Dis. 1999, 83: 1090-1094. 10.1094/PDIS.19184.108.40.2060.View ArticleGoogle Scholar
- Eckert J, Ogawa J: The chemical control of postharvest diseases: subtropical and tropical fruits. Annu Rev Phytopathol. 1988, 23: 421-454.View ArticleGoogle Scholar
- Spotts R, Cervantes L: Population, pathogenicity, and benomyl resistance of Botrytis spp., Penicillium spp., and Mucor piriformis in packinghouses. Plant Dis. 1986, 70: 106-108. 10.1094/PD-70-106.View ArticleGoogle Scholar
- Ragsdale N: The impact of the food quality protection act on the future of plant disease management. Annu Rev Phytopathol. 2000, 38: 577-596. 10.1146/annurev.phyto.38.1.577.PubMedView ArticleGoogle Scholar
- Sansone G, Calvente V, Rezza I, Benuzzi D, Sanz M: Biological control of Botrytis cinerea strains resistant to Iprodione. Postharvest Biology and Technology. 2005, 35: 229-339. 10.1016/j.postharvbio.2004.10.005.View ArticleGoogle Scholar
- Dewey F, Yohalem D: Detection, quantification and immunolocalisation of Botrytis species. Botrytis: Biology, Pathology and Control. Edited by: Elad Y, et al. 2007, London, Chapter 11: 181-194.Google Scholar
- Eriksson R, Jobs M, Ekstrand C, Ullberg M, Herrmann B, Landegren U, Nilsson M, Blomberg J: Multiplex and quantifiable detection of nucleic acid from pathogenic fungi using padlock probes, generic real time PCR and specific suspension array readout. J Microbiol Meth. 2009, 78: 195-202. 10.1016/j.mimet.2009.05.016.View ArticleGoogle Scholar
- Gao X, Jackson K, Lambert S, Hartman G, Niblack T: Detection and quantification of Fusarium solani in soybean roots with real-time quantitative polymerase chain reaction. Plant Dis. 2004, 88: 1372-1380. 10.1094/PDIS.2004.88.12.1372.View ArticleGoogle Scholar
- Leisova L, Minarikova V, Kucera L, Ovesna J: Quantification of Pyrenophora teres in infected barley leaves using real-time PCR. J Microbiol Meth. 2006, 67: 446-455. 10.1016/j.mimet.2006.04.018.View ArticleGoogle Scholar
- Lopez M, Bertolini E, Olmos A, Caruso P, Gorris M, Llop P, Penyalver R, Cambra M: Innovative tools for detection of plant pathogenic viruses and bacteria. Int Microbiol. 2003, 6: 233-243. 10.1007/s10123-003-0143-y.PubMedView ArticleGoogle Scholar
- McCartney H, Foster S, Fraaije B, Ward E: Molecular diagnostics for fungal plant pathogens. Pest Manag Sci. 2003, 59: 129-142. 10.1002/ps.575.PubMedView ArticleGoogle Scholar
- Savazzini F, Oliveira Longa C, Pertot I, Gessler C: Real-time PCR for detection and quantification of the biocontrol agent Trichoderma atroviride strain SC1 in soil. J Microbiol Meth. 2008, 73: 185-194. 10.1016/j.mimet.2008.02.004.View ArticleGoogle Scholar
- Schaad N, Frederick R: Real-time PCR and its application for rapid plant disease diagnostics. Can J Plant Pathol. 2002, 24: 250-258. 10.1080/07060660209507006.View ArticleGoogle Scholar
- Ward E, Foster S, Fraaije B, McCartney H: Plant pathogen diagnostics: immunological and nucleic acid-based approaches. Ann Appli Biol. 2004, 145: 1-16. 10.1111/j.1744-7348.2004.tb00354.x.View ArticleGoogle Scholar
- Xie Z, Thompson A, Kashleva H, Dongari-Bagtzoglou A: A quantitative real-time RT-PCR assay for mature C. albicans biofilms. BMC Microbiology. 2011, 11: 93-100. 10.1186/1471-2180-11-93.PubMedPubMed CentralView ArticleGoogle Scholar
- Serrano R, Gusmão L, Amorim A, Araujo R: Rapid identification of Aspergillus fumigatus within the section Fumigati. BMC Microbiology. 2011, 11: 82-88. 10.1186/1471-2180-11-82.PubMedPubMed CentralView ArticleGoogle Scholar
- He F, Soejoedono RD, Murtini S, Goutama M, Kwang J: Complementary monoclonal antibody-based dot ELISA for universal detection of H5 avian influenza virus. BMC Microbiology. 2010, 10: 330-338. 10.1186/1471-2180-10-330.PubMedPubMed CentralView ArticleGoogle Scholar
- Rigano LA, Marano MR, Castagnaro AP, Do Amaral AM, Vojnov AA: Rapid and sensitive detection of Citrus Bacterial Canker by loop-mediated isothermal amplification combined with simple visual evaluation methods. BMC Microbiology. 2010, 10: 176-183. 10.1186/1471-2180-10-176.PubMedPubMed CentralView ArticleGoogle Scholar
- Dewey F, Ebeler S, Adams D, Noble A, Meyer U: Quantification of Botrytis in grape juice determined by a monoclonal antibody-based immunoassay. Am J Enol Vitic. 2000, 51: 276-282.Google Scholar
- Meyer U, Spotts R, Dewey F: Detection and quantification of Botrytis cinerea by ELISA in pear stems during cold storage. Plant Dis. 2000, 84: 1099-1103. 10.1094/PDIS.2000.84.10.1099.View ArticleGoogle Scholar
- Obanor F, Walter M, Waipara N, Cernusko R: Rapid method for the detection and quantification of Botrytis cinerea in plant tissues. New Zealand Plant Protection. 2002, 55: 150-153.Google Scholar
- Obanor F, Williamson K, Mundy D, Wood P, Walter M: Optimisation of PTA-ELISA detection and quantification of Botrytis cinerea infections in grapes. New Zealand Plant Protection. 2004, 57: 130-137.Google Scholar
- Ricker R, Marois J, Dlott R, Morrison J: Immunodetection and quantification of Botrytis cinerea on harvested wine grapes. Phytopathology. 1991, 81: 404-411. 10.1094/Phyto-81-404.View ArticleGoogle Scholar
- González C, Noda J, Espino J, Brito N: Drill-assisted genomic DNA extraction from Botrytis cinerea. Biotechnol Lett. 2008, 30: 1989-1992. 10.1007/s10529-008-9790-6.PubMedView ArticleGoogle Scholar
- Muñoz C, Gómez Talquenca S, Oriolani E, Arias F: Identificación rápida de distintas razas de Botrytis cinerea en cultivos de vid. Enologia. 2008, 6: 5-7.Google Scholar
- Giraud T, Dominique F, Levis C, Leroux P, Brygoo Y: RFLP Markers show genetic recombination in Botrytinia Fuckeliana (Botrytis cinerea) and transposable element reveal two sympatric species. Mol Biol Evol. 1997, 11: 1177-1185.View ArticleGoogle Scholar
- Giraud T, Fortini D, Levis C, Lamarque C, Leroux P, Lo Buglio K, Brygoo Y: Two sibling species of the Botrytis cinerea complex, transposa and vacuma, are found in sympatry on numerous host plants. Phytopathology. 1999, 89: 967-973. 10.1094/PHYTO.19220.127.116.117.PubMedView ArticleGoogle Scholar
- Fernández-Baldo M, Messina GA, Sanz MI, Raba J: Microfluidic immunosensor with micro magnetic beads coupled to Carbon-based Screen-Printed Electrodes (SPCEs) for determination of Botrytis cinerea in tissue of fruits. J Agric Food Chem. 2010, 58: 11201-11206. 10.1021/jf1025604.PubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.