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Wyszukujesz frazę "Portulaca oleracea" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Protein patterns and their association with photosynthetic pigment content, agronomic behavior, and origin of purslane accessions (Portulaca oleracea L.)
Autorzy:
Talei, D.
Naji, A.M.
Powiązania:
https://bibliotekanauki.pl/articles/2096425.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
chlorophyll
genetic diversity
morphometric
Portulaca oleracea
protein pattern
Opis:
In this study, the proteomic, morphometric, and photosynthetic pigment data of purslane (Portulaca oleracea) accessions were combined together to show their impact on genetic variation in order to establish a relationship between protein patterns and phenotypic behavior of the plant. Seeds of 18 collected purslane accessions were cultivated based on a completely randomized design with three replicates. Before the flowering stage, the data on morphology, photosynthetic pigment content, and seed proteins were obtained. The results showed a significant difference among purslane accessions in terms of the most studied agronomic characteristics and the content of photosynthetic pigments and proteins. The cluster analysis of the 18 purslane accessions based on agronomic data, and photosynthetic pigment content, and protein pattern data produced three main clusters. Moreover, the seed protein analysis revealed that the two polymorphic protein bands of size 40 kDa (protein “a”) and 30 kDa (protein “b”) effectively diversified the agronomic, photosynthetic pigment, and phylogenetic relationships among the purslane accessions. Interestingly, protein “a” was produced in plants growing in low altitude areas and played a suppressive role for TDW, while protein “b” was produced in plants growing in high altitude areas and functioned as an activator agent for this trait. Overall, the outcomes of the present study indicated the presence of high genetic variability (77.6%) among the purslane accessions. These findings suggest that these proteins should be sequenced for further proteomic analyses and can be used for hybridization to generate useful recombinants in segregating generations and improve breeding varieties of P. oleracea.
Źródło:
BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology; 2021, 102, 3; 245-255
0860-7796
Pojawia się w:
BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bioinformatic insight into Portulaca oleracea L. (Purslane) of Bulgarian and Greek origin
Autorzy:
Balabanova, V.
Hristov, I.
Zheleva-Dimitrova, D.
Sugareva, P.
Lozanov, V.
Gevrenova, R.
Powiązania:
https://bibliotekanauki.pl/articles/2117810.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
Portulaca oleracea
LC–HRAMS
secondary metabolites
descriptive analysis
multivariate statistics
Opis:
Portulaca oleracea L. (Portulacaceae) is used as functional food and its nutritional and therapeutic properties are related to the high levels of organic and fatty acids, polyphenols, polysaccharides and cyclo-dopa amides. This study presents a strategy based on liquid chromatography – high resolution accurate mass spectrometry method (LC – HRAMS) and bioinformatic methods to analyze 33 purslane accessions originating from 11 floristic regions in Bulgaria together with 5 accessions of Greek provenance. Extracts were obtained by microwave extraction. Based on the LC-MS metabolic “fingerprints” of assayed samples, a purslane metabolic database was developed. LC-MS data were proceeded with Software application Compound Discover 2.0 (Thermo Fischer Sci., USA). Principal Component Analysis (PCA) combined with both descriptive and differential analyses were used to find marker metabolites to distinguish different geographical regions. The differential analysis of the Bulgarian and Greek samples allowed the identification of 50 marker metabolites. Based on accurate masses, retention times, fragmentation patterns in MS/MS, comparison with commercial standards and literature data, these secondary metabolites were identified after detailed analysis of Volcano-plots. For the first time, 29 compounds are reported. The identified compounds were used to perform a study of the biosynthetic pathways of purslane secondary metabolites using Kyoto Encyclopedia of Genes and Genomes (KEGG) software platform. The statistical treatments identified marker compounds that can be used to distinguish the origin of accession set. Combining LC-MS data with multivariate statistical analysis was shown to be effective in studying the purslane metabolites, allowing for integration of chemistry with geographic origin.
Źródło:
Acta Biologica Cracoviensia. Series Botanica; 2020, 62, 1; 7-21
0001-5296
Pojawia się w:
Acta Biologica Cracoviensia. Series Botanica
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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