Isolation, characterization and expression of a gene coding for a 2S albumin from Bertholletia excelsa (Brazil nut)

Gander, F. S.; Holmstroem, K.-O.; Paiva, G. R. De; Castro, Luiz Antonio Barreto de; Carneiro, Mauro; Grossi, Maria F.

doi:10.1007/bf00023994

Cited by 47 publications

(23 citation statements)

References 26 publications

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“…A detection level of 70% or more in conjunction with a minimal false alarm rate was judged as optimal. Accordingly, this setting was chosen for specific tests on the Brazil nut 2S albumin and the modified Cry9C protein [40, 41, 42]. The query procedure included the 2S albumin amino acid sequence in the test data set in 44 of the 200 sampling cycles.…”

Section: Resultsmentioning

confidence: 99%

Statistical Evaluation of Local Alignment Features Predicting Allergenicity Using Supervised Classification Algorithms

Soeria-Atmadja

Zorzet

Gustafsson

et al. 2004

Int Arch Allergy Immunol

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Background: Recently, two promising alignment-based features predicting food allergenicity using the k nearest neighbor (kNN) classifier were reported. These features are the alignment score and alignment length of the best local alignment obtained in a database of known allergen sequences. Methods: In the work reported here a much more comprehensive statistical evaluation of the potential of these features was performed, this time for the prediction of allergenicity in general. The evaluation consisted of the following four key components. (1) A new high quality database consisting of 318 carefully selected, non-redundant allergens and 1,007 sequences carefully selected to be non-allergens. (2) Three different supervised algorithms: the kNN classifier, the Bayesian linear Gaussian classifier, and the Bayesian quadratic Gaussian classifier. (3) A large set of local alignment procedures defined using the FASTA3 alignment program by means of a wide range of different parameter settings. (4) Novel performance curves, alternative to conventional receiver-operating characteristic curves, to display not only average behaviors but also statistical variations due to small data sets. Results: The linear Gaussian classifier proved most useful among the tested supervised machine learning algorithms, closely followed by the quadratic Gaussian equivalent and kNN. The overall best classification results were obtained with a novel feature vector consisting of the combined alignment scores derived from local alignment procedures using different substitution matrices. Conclusions: The models reported here should be useful as a part of an integrated assessment scheme for potential protein allergenicity and for future comparisons with alternative bioinformatic approaches.

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Section: Resultsmentioning

confidence: 99%

Statistical Evaluation of Local Alignment Features Predicting Allergenicity Using Supervised Classification Algorithms

Soeria-Atmadja

Zorzet

Gustafsson

et al. 2004

Int Arch Allergy Immunol

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“…Plants were co-transformed with plasmids pEA23 and pBI426 (circular form). Plasmid pEA23 contains the β-glucuronidase (GUS) coding region (uidA gene) under control of the 35S CaMV promoter and the 2S-albumin gene from the Brazil nut (be2s2) (Gander et al, 1991), driven by the doubled 35S CaMV promoter plus the AMV leader sequence (Datla et al, 1993). Plasmid pBI426 containing the uidA-neo gene fusion (Datla et al, 1991), driven by the doubled 35S CaMV promoter plus an enhancer sequence from AMV, was provided by Dr. William Crosby (Plant Biotechnology Institute, Saskatoon, Canada).…”

Section: Plant Materialsmentioning

confidence: 99%

“…We have isolated and characterized one of the Brazil nut's 2S-albumin genes (be2s1 gene) (Gander et al, 1991). This gene codes for an 18-kDa precursor protein, which is processed by a complex series of steps to yield two subunits of 3 and 9 kDa, joined by disulfide bridges (Sun et al, 1987).…”

Section: Introductionmentioning

confidence: 99%

Expression of a methionine-rich storage albumin from the Brazil nut (Bertholletia excelsa H.B.K., Lecythidaceae) in transgenic bean plants (Phaseolus vulgaris L., Fabaceae)

et al. 1999

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Bean (Phaseolus vulgaris), an important component in the diet of people in developing countries, has low levels of the essential amino acid, methionine. We have attempted to correct this deficiency by introducing a transgene coding for a methioninerich storage albumin from the Brazil nut via biolistic methods. The transgene's coding sequence was driven by a doubled 35S CaMV promoter and AMV enhancer sequences. The transgene was stable and correctly expressed in homozygous R 2 to R 5 seeds. In two of the five transgenic lines the methionine content was significantly increased (14 and 23%) over the values found in untransformed plants.

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“…The 2S albumins are products of multigene families, and therefore various isoforms may exist. Also for Ber e 1 a number of isoforms have been identified [17][18][19]. Various procedures for the purification of Ber e 1 have been described [14,15,[21][22][23], but most of these methods consist of several time-consuming centrifugation and/or column chromatography steps, making them only suitable for the purification of small quantities of Ber e 1.…”

Section: Introductionmentioning

confidence: 99%

Expanded bed adsorption as a fast technique for the large‐scale purification of the complete isoform pool of Ber e 1, the major allergen from Brazil nuts

Boxtel¹,

Koningsveld²,

Koppelman

et al. 2006

Molecular Nutrition Food Res

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A new, fast, large-scale purification method for Ber e 1, the major allergen from Brazil nuts, using expanded bed adsorption (EBA) chromatography, is presented. Using EBA, crude extracts can be applied to a fluidized column, which allows the unhindered passage of particulate impurities, thereby avoiding time-consuming centrifugation or filtration steps. With this new purification method, 2.8 g of Ber e 1 was obtained from 85 g defatted Brazil nut meal, essentially within 1 day. Various structural as well as immunochemical characteristics of the purified protein were determined, and compared to those of Ber e 1 purified using conventional chromatographic techniques. The complete pool of Ber e 1 isoforms was collected using EBA. The most abundant isoforms were observed to have pI around 8 and heterogeneity was observed in both the large and the small subunit of the heterodimeric protein. Ber e 1 has a highly ordered secondary structure. No apparent differences in immune reactivity were observed between EBA purified Ber e 1 and conventionally purified Ber e 1, using IgE-binding experiments. Thus, using EBA, Ber e 1 can be purified fast and on gram-scale, while having purity equal to that of conventionally purified Ber e 1.

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Isolation, characterization and expression of a gene coding for a 2S albumin from Bertholletia excelsa (Brazil nut)

Cited by 47 publications

References 26 publications

Statistical Evaluation of Local Alignment Features Predicting Allergenicity Using Supervised Classification Algorithms

Statistical Evaluation of Local Alignment Features Predicting Allergenicity Using Supervised Classification Algorithms

Expression of a methionine-rich storage albumin from the Brazil nut (Bertholletia excelsa H.B.K., Lecythidaceae) in transgenic bean plants (Phaseolus vulgaris L., Fabaceae)

Expanded bed adsorption as a fast technique for the large‐scale purification of the complete isoform pool of Ber e 1, the major allergen from Brazil nuts

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