Tuber proteome comparison of five potato varieties by principal component analysis

Abstract

All four PCAs performed with these datasets presented clear grouping of samples according to the varieties. The data presented here showed that PCA was applicable for proteomic analysis of potato and was able to separate the samples by varieties. © 2016 Society of Chemical Industry.

Comparison of Grain Proteome Profiles of Four Brazilian Common Bean (Phaseolus vulgaris L.) Cultivars

“…The results show a clear separation between ‘BRS Estilo’ and the other cultivars in PC1 and a clear separation between ‘BRS Sublime’ and ‘BRS Esteio’ in PC2, indicating a greater proximity in relation to spots accumulation between ‘BRS Sublime’ and ‘BRS Vereda’ cultivars. Our results confirm that PCA could be used for proteomic analysis of plant varieties as a basis for classification tools, it could be explored as a complementary approach for novel food analysis . PCA was applied for grain and leaf proteome profiles comparison of two Embrapa 5.1 GM common bean varieties, Pérola and Pontal, and their non-GM counterparts. , PCA revealed that proteomes were more similar between GM common bean variety and its counterpart than between Pérola and Pontal varieties.…”

“…For comparative proteomics analysis of leaf and grain of common bean, TCA-based protein extraction and 2-DE with 13 cm IPG strips in the range pH 4–7 were successfully applied. , 2-DE is widely used in the comparison of proteins between different groups and their replicates; however, variation between the gels makes it difficult to match spots in image analysis . This variation was compared in 2-DE standardization, and 84% of the spots were reproducible between the six gels of the same sample.…”

“…Our results confirm that PCA could be used for proteomic analysis of plant varieties as a basis for classification tools, it could be explored as a complementary approach for novel food analysis. 26 PCA was applied for grain and leaf proteome profiles comparison of two Embrapa 5.1 GM common bean varieties, Peŕola and Pontal, and their non-GM counterparts. 13,22 PCA revealed that proteomes were more similar between GM common bean variety and its counterpart than between Peŕola and Pontal varieties.…”

Proteome comparison for discrimination between honeydew and floral honeys from botanical species Mimosa scabrella Bentham by principal component analysis

“…A proteomic investigation in honeydew from plant‐sucking insects of the Aphid species detected more than 140 protein spots by two‐dimensional gel electrophoresis (2DE) analysis and revealed a diverse source of proteins . Proteome profiles can be used to discriminate between floral and honeydew honeys without the necessity of protein identification, using principal component analysis (PCA), a useful tool for handling multivariate data of proteomic analysis …”

“…17 Proteome profiles can be used to discriminate between floral and honeydew honeys without the necessity of protein identification, using principal component analysis (PCA), a useful tool for handling multivariate data of proteomic analysis. 18,19 The aim of this study was to carry out the protein extraction from floral and honeydew honeys and to discriminate these honeys from the same botanical species M. scabrella B. through proteome comparison by principal component analysis.…”