AgroBio Institute

Sofia, Bulgaria

AgroBio Institute

Sofia, Bulgaria
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Dallot S.,French National Institute for Agricultural Research | Glasa M.,Slovak Academy of Sciences | Jevremovic D.,Fruit Research Institute | Kamenova I.,AgroBio Institute | And 2 more authors.
Archives of Virology | Year: 2011

The genetic diversity of plum pox virus strain M (PPV-M) was assessed by analyzing 28 isolates collected in 8 European countries. Two genomic fragments spanning the (Cter)P3-6K1-(Nter)CI coding region as well as the full coat protein coding region were sequenced directly from PCR products. Phylogenetic analysis showed that the geographical origin of the collected isolates was clearly associated with two different PPV-M clades. Moreover, the pattern of substitutions in the CP gene shed light on the evolutionary relationships between PPV-M and the recombinant strains PPV-Rec and PPV-T. © Springer-Verlag 2011.

Sarikaya B.B.,Ege University | Berkov S.,AgroBio Institute | Bastida J.,University of Barcelona | Kaya G.I.,Ege University | And 2 more authors.
Natural Product Communications | Year: 2013

A GC-MS analysis of alkaloids in the aerial parts and bulbs of Galanthus xvalentinei nothosubsp. subplicatus was performed for the first time. Totally, twenty-six alkaloids were identified, of which tazettine and galanthindole were the major ones. Acetylcholinesterase inhibitory activity of the alkaloidal extracts was determined using modified in vitro Ellman's method. Significant anticholinesterase activity was observed in the tested samples (bulbs: IC 50= 21.3 μg/mL, aerial parts: IC50= 16.3 μg/mL).

Wedler J.,Northwestern University | Rusanov K.,AgroBio Institute | Atanassov I.,AgroBio Institute | Butterweck V.,Northwestern University
Planta Medica | Year: 2016

Water steam distillation of rose flowers separates the essential oil from the polyphenol-containing rose oil distillation wastewater. Recently, a strategy was developed to separate rose oil distillation wastewater into a polyphenol depleted water fraction and a polyphenol-enriched fraction [RF20-(SP-207)]. The objective of the present study was to investigate RF20-(SP-207) and fraction F(IV), augmented in quercetin and ellagic acid, for possible antiproliferative effects in immortalized human keratinocytes (HaCaT) since rose petals are known to contain compounds with potential antiproliferative activity. RF20-(SP-207) revealed dose-dependent antiproliferative activity (IC50 of 9.78 μg/mL). In a nontoxic concentration of 10 μg/mL, this effect was stronger than that of the two positive controls LY294002 (10 μM, PI3 K-inhibitor, 30% inhibition) and NVP-BEZ235 (100 nM, dual PI3 K/mTOR inhibitor, 30% inhibition) and clearly exceeded the antiproliferative action of quercetin (50 μM, 25% inhibition) and ellagic acid (1 μM, 15% inhibition). Time-lapse microscopy detected a significant impairment of cell migration of RF20-(SP-207) and F(IV). At concentrations of 10 μg/mL of both, extract and fraction, cell migration was strongly suppressed (51% and 28% gap closure, respectively, compared to 95% gap closure 24 hours after control treatment). The suppression of cell migration was comparable to the positive controls LY294002, NVP-BEZ235, and quercetin. Furthermore, basal and TNF-α-stimulated VEGF-secretion was significantly reduced by RF20-(SP-207) and F(IV) at 10 μg/mL (44% vs. untreated control). In conclusion, RF20-(SP-207) showed promising antiproliferative and antimigratory effects and could be developed as a supportive, therapy against hyperproliferation-involved skin diseases. © Georg Thieme Verlag KG Stuttgar,New York.

Gevrenova R.,Medical University-Sofia | Badjakov I.,AgroBio Institute | Nikolova M.,Bulgarian Academy of Science | Doichinova I.,Medical University-Sofia
Biochemical Systematics and Ecology | Year: 2013

Leaves of 22 accessions of the Bulgarian raspberry (Rubus L.) germplasm collection - five Bulgarian and seven foreign cultivars, eight elite clones and two wild species, Rubus occidentalis L. and Rubus odoratus L., were analysed for phenolic constituents. The quantitative determination of caffeic (1), p-coumaric (2) and ferulic (3) acids, hyperoside (4), tiliroside (5), and isoquercitrin (6) was performed by RP-HPLC using linear gradient elution and UV detection at 254 and 310nm. The detection limits ranged from 0.23μg/ml (4) to 0.55μg/ml (2). Caffeic acid was the dominant phenolic acid in the majority of the samples being present in amounts between 0.05±0.01mg/g dry weight in R. occidentalis and 1.43±0.06mg/g in the cultivars. The highest content of flavonols was found in the Bulgarian raspberry elite clones: 1.70±0.002mg/g (6), 0.60±0.004mg/g (5) and 0.97±0.01mg/g (4). Data were analyzed by hierarchical clustering (HC) and principal component analysis (PCA). The HC and PCA scoring plot showed that the samples could be classified into three clusters. Cluster C1 comprised cultivars characterized by high content of phenolic acids (1-3). Seven cultivars and the wild species R. occidentalis formed the cluster C2 presenting low content of phenolic compounds. Cluster C3 grouped the Bulgarian raspberry elite clones and R. odoratus sharing the highest content of flavonols (5 and 6). The Bulgarian elite clone E23617 displayed the highest content of the studied phenolic derivatives. The PCA loading plot showed that 1 can be used to distinguish between different raspberry varieties. © 2013 Elsevier Ltd.

Sarikaya B.B.,Ege University | Somer N.U.,Ege University | Kaya G.I.,Ege University | Onur M.A.,Ege University | And 2 more authors.
Zeitschrift fur Naturforschung - Section C Journal of Biosciences | Year: 2013

GC-MS (gas chromatography-mass spectrometry) analyses of alkaloids in the aerial parts and bulbs of Galanthus rizehensis Stern (Amaryllidaceae), collected during two different vegetation periods, was performed. Twenty three alkaloids were identified in four different alkaloid extracts. Acetylcholinesterase (AChE) inhibitory activities of the alkaloid extracts were tested. Both the highest alkaloid diversity and the most potent inhibitory activity (IC50 12.94 μg/ml) were obtained in extracts from the bulbs of G. rizehensis collected during the fruiting period. © 2013 Verlag der Zeitschrift für Naturforschung, Tübingen.

Berkov S.H.,AgroBio Institute | Nikolova M.T.,Bulgarian Academy of Science | Hristozova N.I.,Sofia University | Momekov G.Z.,Medical University-Sofia | And 2 more authors.
Journal of the Serbian Chemical Society | Year: 2011

GC-MS metabolic profiling of the apolar and polar fractions from methanolic extracts of Haberlea rhodopensis revealed more than one hundred compounds (amino acids, fatty acids, phenolic acids, sterols, glycerides, saccharides, etc.). Bioactivity assays showed that the polar fractions possessed strong free radical scavenging activity (IC50 = 19.95±14.11 μg ml -1 for fresh leaves and 50.04±23.16 μg ml-1 for desiccated leaves), while both the polar and apolar fractions failed to provoke any significant cytotoxic effects against the tested cell lines. Five compounds possessing antiradical activity were identified - syringic, vanillic, caffeic, dihydrocaffeic and p-coumaric acids. 2011 Copyright (CC) SCS.

Krachunov M.,Sofia University | Vassilev D.,AgroBio Institute
Journal of Computational Science | Year: 2014

Metagenomics is a rapidly growing field, which has been greatly driven by the ongoing advancements in high-throughput sequencing technologies. As a result, both the data preparation and the subsequent in silico experiments pose unsolved technical and theoretical challenges, as there are not any well-established approaches, and new expertise and software are constantly emerging. Our project main focus is the creation and evaluation of a novel error detection and correction approach to be used inside a metagenomic processing workflow. The approach, together with an indirect validation technique and the already obtained empirical results, are described in detail in this paper. To aid the development and testing, we are also building a workflow execution system to run our experiments that is designed to be extensible beyond the scope of error detection which will be released as a free/open-source software package. © 2013 Elsevier B.V.

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