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Physiochemical and protein datasets related to citrus juice sac cells-derived nanovesicles and microvesicles.

ABSTRACT: Qualitative and quantitative data obtained on micro and nanovesicle enriched fractions isolated from four citrus species, C. sinensis, C. limon, C. paradisi and C. aurantium are presented. It includes physiochemical characterization by transmission electron microscopy (TEM) and dynamic laser scattering (DLS); and molecular characterization of the biocargo of citrus vesicles by quantitative label-free proteomics. Vesicular transport related proteins of C. sinensis were predicted by (i) finding orthologues based on previously described vesicular transport proteins and (ii) GO term enrichment analysis. Based on the protein content different types of intra and intercellular vesicles were dissected and the distribution of different Enzyme classes (ECs) were determined. This data article is related to "Protein biocargo of citrus fruit-derived vesicles reveals heterogeneous transport and extracellular vesicle populations" (Pocsfalvi et al., 2018).

SUBMITTER: Pocsfalvi G

PROVIDER: S-EPMC6305887 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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Physiochemical and protein datasets related to citrus juice sac cells-derived nanovesicles and microvesicles.

Pocsfalvi Gabriella G Turiák Lilla L Ambrosone Alfredo A Del Gaudio Pasquale P Puska Gina G Fiume Immacolata I Silvestre Teresa T Vékey Károly K

Data in brief 20181213

Qualitative and quantitative data obtained on micro and nanovesicle enriched fractions isolated from four citrus species, C. sinensis, C. limon, C. paradisi and C. aurantium are presented. It includes physiochemical characterization by transmission electron microscopy (TEM) and dynamic laser scattering (DLS); and molecular characterization of the biocargo of citrus vesicles by quantitative label-free proteomics. Vesicular transport related proteins of C. sinensis</ ...[more]

PMID: 30591944

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Project description:To enrich carotenoids, especially β-cryptoxanthin, in juice sac tissues of fruits via molecular breeding in citrus, allele mining was utilized to dissect allelic variation of carotenoid metabolic genes and identify an optimum allele on the target loci characterized by expression quantitative trait (eQTL) analysis. SNPs of target carotenoid metabolic genes in 13 founders of the Japanese citrus breeding population were explored using the SureSelect target enrichment method. An independent allele was determined based on the presence or absence of reliable SNPs, using trio analysis to confirm inheritability between parent and offspring. Among the 13 founders, there were 7 PSY alleles, 7 HYb alleles, 11 ZEP alleles, 5 NCED alleles, and 4 alleles for the eQTL that control the transcription levels of PDS and ZDS among the ancestral species, indicating that some founders acquired those alleles from them. The carotenoid composition data of 263 breeding pedigrees in juice sac tissues revealed that the phenotypic variance of carotenoid composition was similar to that in the 13 founders, whereas the mean of total carotenoid content increased. This increase in total carotenoid content correlated with the increase in either or both β-cryptoxanthin and violaxanthin in juice sac tissues. Bayesian statistical analysis between allelic composition of target genes and carotenoid composition in 263 breeding pedigrees indicated that PSY-a and ZEP-e alleles at PSY and ZEP loci had strong positive effects on increasing the total carotenoid content, including β-cryptoxanthin and violaxanthin, in juice sac tissues. Moreover, the pyramiding of these alleles also increased the β-cryptoxanthin content. Interestingly, the offset interaction between the alleles with increasing and decreasing effects on carotenoid content and the epistatic interaction among carotenoid metabolic genes were observed and these interactions complexed carotenoid profiles in breeding population. These results revealed that allele composition would highly influence the carotenoid composition in citrus fruits. The allelic genotype information for the examined carotenoid metabolic genes in major citrus varieties and the trio-tagged SNPs to discriminate the optimum alleles (PSY-a and ZEP-e) from the rest would promise citrus breeders carotenoid enrichment in fruit via molecular breeding.

Dataset Information

Physiochemical and protein datasets related to citrus juice sac cells-derived nanovesicles and microvesicles.

Publications

Physiochemical and protein datasets related to citrus juice sac cells-derived nanovesicles and microvesicles.

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