Investigating phenotypic relationships in persimmon accessions through integrated proteomic and metabolomic analysis of corresponding fruits Article Swipe
Sabrina De Pascale
,
Antonio Dario Troise
,
Milena Petriccione
,
Angelina Nunziata
,
Danilo Cice
,
Anna Magri
,
Anna Maria Salzano
,
Andrea Scaloni
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3389/fpls.2023.1093074
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3389/fpls.2023.1093074
Together with phenological and genomic approaches, gel-based and label-free proteomic as well metabolomic procedures were separately applied to plants to highlight differences between ecotypes, to estimate genetic variability within/between organism populations, or to characterize specific mutants/genetically modified lines at metabolic level. To investigate the possible use of tandem mass tag (TMT)-based quantitative proteomics in the above-mentioned contexts and based on the absence of combined proteo-metabolomic studies on Diospyros kaki cultivars, we here applied integrated proteomic and metabolomic approaches to fruits from Italian persimmon ecotypes with the aim to characterize plant phenotypic diversity at molecular level. We identified 2255 proteins in fruits, assigning 102 differentially represented components between cultivars, including some related to pomological, nutritional and allergenic characteristics. Thirty-three polyphenols were also identified and quantified, which belong to hydroxybenzoic acid, flavanol, hydroxycinnamic acid, flavonol, flavanone and dihydrochalcone sub-classes. Heat-map representation of quantitative proteomic and metabolomic results highlighted compound representation differences in various accessions, whose elaboration through Euclidean distance functions and other linkage methods defined dendrograms establishing phenotypic relationships between cultivars. Principal component analysis of proteomic and metabolomic data provided clear information on phenotypic differences/similarities between persimmon accessions. Coherent cultivar association results were observed between proteomic and metabolomic data, emphasizing the utility of integrating combined omic approaches to identify and validate phenotypic relationships between ecotypes, and to estimate corresponding variability and distance. Accordingly, this study describes an original, combined approach to outline phenotypic signatures in persimmon cultivars, which may be used for a further characterization of other ecotypes of the same species and an improved description of nutritional characteristics of corresponding fruits.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fpls.2023.1093074
- OA Status
- gold
- Cited By
- 4
- References
- 76
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4318472804
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4318472804Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fpls.2023.1093074Digital Object Identifier
- Title
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Investigating phenotypic relationships in persimmon accessions through integrated proteomic and metabolomic analysis of corresponding fruitsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-30Full publication date if available
- Authors
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Sabrina De Pascale, Antonio Dario Troise, Milena Petriccione, Angelina Nunziata, Danilo Cice, Anna Magri, Anna Maria Salzano, Andrea ScaloniList of authors in order
- Landing page
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https://doi.org/10.3389/fpls.2023.1093074Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.3389/fpls.2023.1093074Direct OA link when available
- Concepts
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Metabolomics, Biology, Ecotype, Proteomics, Quantitative trait locus, Flavonols, Cultivar, Computational biology, Botany, Genetics, Polyphenol, Gene, Bioinformatics, Biochemistry, AntioxidantTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 3, 2023: 1Per-year citation counts (last 5 years)
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76Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I4210107272, https://openalex.org/I4210155236 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.5 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.71203095 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |