scholarly journals Preliminary evaluation of probiotic potential of yeasts isolated from bovine milk and curd of Sri Lanka

2019 ◽  
Vol 30 (3) ◽  
pp. 27
Author(s):  
D. U. Rajawardana ◽  
I. G. N. Hewajulige ◽  
C. M. Nanayakkara ◽  
S. K. M. R. A. Athurupana ◽  
W. M. T. Madhujith
Author(s):  
Saranga Diyabalanage ◽  
Maheshika Darshani Kalpage ◽  
Dinithi Gayangi Mohotti ◽  
Champa Kumari Kularatne Dissanayake ◽  
Ruchika Fernando ◽  
...  

Molecules ◽  
2018 ◽  
Vol 23 (8) ◽  
pp. 2017 ◽  
Author(s):  
Roman Komor ◽  
Gabriela Pastuch-Gawolek ◽  
Ewelina Krol ◽  
Wieslaw Szeja

Herein we present the methodology for obtaining glycosyltransferase inhibitors, analogues of natural enzyme substrates of donor-type: UDP-glucose and UDP-galactose. The synthesis concerned glycoconjugates, nucleoside analogues containing an acyclic ribose mimetic linked to a uracil moiety in their structure. The biological activity of the synthesised compounds was determined on the basis of their ability to inhibit the model enzyme action of β-1,4-galactosyltransferase from bovine milk. The obtained results allowed to expand and supplement the existing library of synthetic compounds that are able to regulate the biological activity of enzymes from the GT class.


Author(s):  
S. Wickramasinghe ◽  
R. K. Rupasinghe ◽  
N. Shanjayan ◽  
L. G.S. Lokugalappatti

Background: Bovine milk contains two types of β-casein (CSN2); A1 and A2, in which A1 type has shown associations with certain health issues. This study was conducted to identify the abundance of CSN2 A1/A2 variants in European and indigenous dairy breeds in Sri Lanka. Methods: The study included 123 Ayrshire, 101 Holstein Friesian and 92 indigenous White cattle (Bos indicus) populations. Genotyping was performed by PCR-RFLP method using Dde1. Allele and genotype frequencies and population genetic indices were calculated. Result: Results showed A1A2 to be predominant in both Holstein Friesian (0.63) and Ayrshire (0.68) populations while A2A2 (0.82) was predominant in the White cattle population. A1 and A2 allele frequencies were 0.52 and 0.48 in Ayrshire; 0.39 and 0.61 in Holstein Friesian and 0.09 and 0.91 in White cattle populations. Ayrshire and Holstein Friesian populations showed significant deviation from the Hardy-Weinberg equilibrium (p£0.05). When compared to the imported breeds, the White cattle population showed inbreeding and less genetic diversity.


2020 ◽  
Vol 8 (1) ◽  
pp. 97 ◽  
Author(s):  
Francesco Fancello ◽  
Chiara Multineddu ◽  
Mario Santona ◽  
Pierfrancesco Deiana ◽  
Giacomo Zara ◽  
...  

Bacterial diversity of 15 extra virgin olive oils, obtained from different Italian varieties, including Frantoio, Coratina, Bosana, and Semidana, was analyzed in this study. All bacterial isolates were genotyped using RAPD and REP-PCR method and grouped by means of cluster analyses. Sequencing of 16S rDNA of 51 isolates, representative of 36 clusters, led to the identification of Bacillus spp., Brevibacillus spp., Micrococcus spp., Staphylococcus spp., Pantoea spp., Kocuria spp., Lysinbacillus spp., and Lactobacillus spp., most of which reported for first time in olive oils. Phenotypic characterization of the 51 isolates, some of which ascribed to potentially probiotic species, indicate that two of them have beta-glucosidase activity while 37% present lipolytic activity. Preliminary evaluation of probiotic potential indicates that 31% of the isolates show biofilm formation ability, 29% acidic pH resistance, and 25% bile salt resistance. Finally, 29% of the isolates were sensitive to antibiotics while the remaining 71%, that include bacterial species well-recognized for their ability to disseminate resistance genes in the environment, showed a variable pattern of antibiotic resistance. The results obtained underline that microbial diversity of extra virgin olive oils represents an unexpected sink of microbial diversity and poses safety issues on the possible biotechnological exploitation of this microbial biodiversity.


2013 ◽  
Vol 29 (10) ◽  
pp. 1913-1922 ◽  
Author(s):  
Barbara Turchi ◽  
Simone Mancini ◽  
Filippo Fratini ◽  
Francesca Pedonese ◽  
Roberta Nuvoloni ◽  
...  

2020 ◽  
Vol 8 (2) ◽  
pp. 189 ◽  
Author(s):  
Autilia Cozzolino ◽  
Franca Vergalito ◽  
Patrizio Tremonte ◽  
Massimo Iorizzo ◽  
Silvia J. Lombardi ◽  
...  

In this study, for the first time, we examined some of the physico-chemical properties of the cell surface of Akkermansia muciniphila DSM 22959, comparing it with those of Lactobacillus rhamnosus GG—one of the most extensively studied probiotic microorganisms. In particular, hydrophobicity, auto-aggregation, co-aggregation, and biofilm formation were investigated. In addition, antibiotic susceptibility, co-culture, and antimicrobial activity of the two strains were compared. Hydrophobicity was evaluated using xylene and toluene, showing that A. muciniphila DSM 22959 possessed moderate hydrophobicity. A. muciniphila showed a faster and higher auto-aggregation ability than Lb. rhamnosus GG, but a lower aptitude in biofilm formation. In the co-aggregation test, the best performance was obtained by Lb. rhamnosus GG. Regarding the susceptibility to antibiotics, the differences between the two strains were remarkable, with A. muciniphila DSM 22959 showing resistance to half of the antibiotic tested. Interesting results were also obtained with regard to the stimulating effect of Lb. rhamnosus GG on the growth of A. muciniphila when co-cultured.


1989 ◽  
Vol 32 (3) ◽  
pp. 681-687 ◽  
Author(s):  
C. Formby ◽  
B. Albritton ◽  
I. M. Rivera

We describe preliminary attempts to fit a mathematical function to the slow-component eye velocity (SCV) over the time course of caloric-induced nystagmus. Initially, we consider a Weibull equation with three parameters. These parameters are estimated by a least-squares procedure to fit digitized SCV data. We present examples of SCV data and fitted curves to show how adjustments in the parameters of the model affect the fitted curve. The best fitting parameters are presented for curves fit to 120 warm caloric responses. The fitting parameters and the efficacy of the fitted curves are compared before and after the SCV data were smoothed to reduce response variability. We also consider a more flexible four-parameter Weibull equation that, for 98% of the smoothed caloric responses, yields fits that describe the data more precisely than a line through the mean. Finally, we consider advantages and problems in fitting the Weibull function to caloric data.


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