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Quantitative proteomics comparison of total expressed proteomes of anisakis simplex sensu stricto, A. pegreffii, and their hybrid genotype

AuthorsArcos, Susana C.; Robertson, Lee ; Ciordia, Sergio; Sánchez Alonso, Isabel ; Careche, Mercedes ; Carballeda-Sangiao, Noelia; Gonzalez-Muñoz, Miguel; Navas, Alfonso
KeywordsAnisakis simplex s.s
A. pegreffii
quantitative proteomics
Issue Date10-Aug-2020
PublisherMultidisciplinary Digital Publishing Institute
CitationGenes 11(8): 913 (2020)
AbstractThe total proteomes of Anisakis simplex s.s., A. pegreffii and their hybrid genotype have been compared by quantitative proteomics (iTRAQ approach), which considers the level of expressed proteins. Comparison was made by means of two independent experiments considering four biological replicates of A. simplex and two each for A. pegreffii and hybrid between both species. A total of 1811 and 1976 proteins have been respectively identified in the experiments using public databases. One hundred ninety-six proteins were found significantly differentially expressed, and their relationships with the nematodes’ biological replicates were estimated by a multidimensional statistical approach. Results of pairwise Log2 ratio comparisons among them were statistically treated and supported in order to convert them into discrete character states. Principal component analysis (PCA) confirms the validity of the method. This comparison selected thirty seven proteins as discriminant taxonomic biomarkers among A. simplex, A. pegreffii and their hybrid genotype; 19 of these biomarkers, encoded by ten loci, are specific allergens of Anisakis (Ani s7, Ani s8, Ani s12, and Ani s14) and other (Ancylostoma secreted) is a common nematodes venom allergen. The rest of the markers comprise four unknown or non-characterized proteins; five different proteins (leucine) related to innate immunity, four proteolytic proteins (metalloendopeptidases), a lipase, a mitochondrial translocase protein, a neurotransmitter, a thyroxine transporter, and a structural collagen protein. The proposed methodology (proteomics and statistical) solidly characterize a set of proteins that are susceptible to take advantage of the new targeted proteomics
Publisher version (URL)https://doi.org/10.3390/genes11080913
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