Costa Joana, Marani Mariela M, Grazina Liliana, Villa Caterina, Meira Liliana, Oliveira M Beatriz P P, Leite José R S A, Mafra Isabel
REQUIMTE-LAQV, Faculdade de Farmácia, Universidade do Porto, Porto, Portugal; IPEEC-CONICET, Instituto Patagónico para el Estudio de los Ecosistemas Continentales, Consejo Nacional de Investigaciones Científicas y Técnicas, Puerto Madryn, Argentina.
REQUIMTE-LAQV, Faculdade de Farmácia, Universidade do Porto, Porto, Portugal.
Food Chem. 2017 Sep 15;231:340-347. doi: 10.1016/j.foodchem.2017.03.154. Epub 2017 Mar 31.
The introduction of genes isolated from different Bacillus thuringiensis strains to express Cry-type toxins in transgenic crops is a common strategy to confer insect resistance traits. This work intended to extensively in silico analyse Cry1A(b)16 protein for the identification of peptide markers for the biorecognition of transgenic crops. By combining two different strategies based on several bioinformatic tools for linear epitope prediction, a set of seven peptides was successfully selected as potential Cry1A(b)16 immunogens. For the prediction of conformational epitopes, Cry1A(b)16 models were built on the basis of three independent templates of homologue proteins of Cry1A(a) and Cry1A(c) using an integrated approach. PcH_736-746 and PcH_876-886 peptides were selected as the best candidates, being synthesised and used for the production of polyclonal antibodies. To the best of our knowledge, this is the first attempt of selecting and defining linear peptides as immunogenic markers of Cry1A(b)-type toxins in transgenic maize.
将从不同苏云金芽孢杆菌菌株中分离的基因导入转基因作物中以表达Cry型毒素，是赋予作物抗虫性状的常用策略。这项工作旨在对Cry1A(b)16蛋白进行广泛的计算机分析，以鉴定用于转基因作物生物识别的肽标记。通过结合基于几种生物信息学工具进行线性表位预测的两种不同策略，成功选择了一组七个肽作为潜在的Cry1A(b)16免疫原。为了预测构象表位，使用综合方法基于Cry1A(a)和Cry1A(c)同源蛋白的三个独立模板构建了Cry1A(b)16模型。选择PcH_736 - 746和PcH_876 - 886肽作为最佳候选物，进行合成并用于生产多克隆抗体。据我们所知，这是首次尝试选择和定义线性肽作为转基因玉米中Cry1A(b)型毒素的免疫原性标记。
