8 research outputs found
Potato Cultivar Identification Using Molecular Markers [identificação De Cultivares De Batata Por Marcadores Moleculares]
The objective of this work was to evaluate a set of microsatellite markers for varietal identification and characterization of the most widespread potato cultivars in Brazil. The DNA from 14 potato cultivars was genotyped using microsatellite markers and the alleles were scored in silver-stained polyacrylamide gel. Twenty-four microsatellite markers were evaluated, and only one locus was monomorphic. Based on band patterns, a set of two microsatellites that were able to identify and differentiate all examined cultivars was obtained.451110113Collares, E.A.S., Choer, E., Pereira, A.S., Characterization of potato genotypes using molecular markers (2004) Pesquisa Agropecuária Brasileira, 39, pp. 871-878Creste, S., Tulmann, A., Figueira, A., Detection of Single Sequence Repeat Polymorphism in denaturating polyacrylamide sequencing gels by silver staining (2001) Plant Molecular Biology Reporter, 19, pp. 299-306Demecke, T., Kawchuk, L.M., Linch, D.R., Identification of potato cultivars and clonal variants by Random Amplified Polymorphic DNA analysis (1993) American Potato Journal, 70, pp. 561-570Douches, D.S., Ludlan, K., Eletrophoretic characterization of North American potato cultivars (1991) American Potato Journal, 68, pp. 767-780Feingold, S., Lloyd, J., Norero, N., Bonierbale, M., Lorenzen, J., Mapping and characterization of new EST-derived microsatellites for potato (Solanum tuberosum L.) (2005) Theoretical and Applied Genetics, 111, pp. 456-466Ghislain, M., Spooner, D.M., Rodríguez, F., Villamón, F., Núnez, J., Vásquez, C., Waugh, R., Bonierbale, M., Selection of highly informative and user-friendly microsatellites (SSRs) for genotyping of cultivated potato (2004) Theoretical and Applied Genetics, 108, pp. 881-890Isenegger, D.A., Taylor, P.W.J., Ford, R., Franz, P., Mcgregor, G.R., Hutchinson, J.F., DNA fingerprinting and genetic relationships of potato cultivars (Solanum tuberosum L.) commercially grown in Australia (2001) Australian Journal of Agricultural Research, 52, pp. 911-918Kim, J.H., Juong, H., Kim, H.Y., Lim, Y.P., Estimation of genetic variation and relationship in potato (Solanum tuberosum L.) cultivars using AFLP markers (1998) American Journal of Potato Research, 75, pp. 107-112Mathias, M.R., Sagrado, B.D., Kalazich, J.B., Use of SSR markers to identify potato germplasm in INIA Chile breeding program (2007) Agricultura Técnica, 67, pp. 3-15McGregor, C.E., Lambert, C.A., Greyling, M.M., Louw, J.H., Warnich, L., A comparative assessment of DNA fingerprinting techniques (RAPD, ISSR AFLP and SSR) in tetraploid potato (Solanum tuberosum L.) germplasm (2000) Euphytica, 113, pp. 135-144Moisan-Thiery, M., Marhadour, S., Kerlan, M.C., Dessenne, N., Perramant, M., Gokelalre, T., Le Hingrat, Y., Potato cultivar identification using simple sequence repeats markers (SSR) (2005) Potato Research, 48, pp. 191-200Norero, N., Malleville, J., Huarte, M., Feingold, S., Cost efficient potato (Solanum tuberosum L.) cultivar identification by microsatellite amplification (2002) Potato Research, 45, pp. 131-138Reid, A., Kerr, E.M., A rapid simple sequence repeat (SSR)-based identification method for potato cultivars (2007) Plant Genetic Resources: Characterization and Utilization, 5, pp. 7-13Tessier, C., David, J., This, P., Boursiquot, J.M., Charrier, A., Optimization of the choice of molecular markers for varietal identification in Vitis vinifera L (1999) Theoretical and Applied Genetics, 98, pp. 171-177Wulff, E.G., Torres, S., Gonzales, E.V., Protocol for DNA extraction from potato tubers (2002) Plant Molecular Biology Reporter, 20, pp. 187a-1187
Age and primary vaccination background influence the plasma cell response to pertussis booster vaccination
Pertussis is a vaccine-preventable disease caused by the bacterium Bordetella pertussis. Over the past years, the incidence and mortality of pertussis increased significantly. A possible cause is the switch from whole-cell to acellular pertussis vaccines, although other factors may also contribute. Here, we applied high-dimensional flow cytometry to investigate changes in B cells in individuals of different ages and distinct priming backgrounds upon administration of an acellular pertussis booster vaccine. Participants were divided over four age cohorts. We compared longitudinal kinetics within each cohort and between the different cohorts. Changes in the B-cell compartment were correlated to numbers of vaccine-specific B- and plasma cells and serum Ig levels. Expansion and maturation of plasma cells 7 days postvaccination was the most prominent cellular change in all age groups and was most pronounced for more mature IgG1+ plasma cells. Plasma cell responses were stronger in individuals primed with whole-cell vaccine than in individuals primed with acellular vaccine. Moreover, IgG1+ and IgA1+ plasma cell expansion correlated with FHA-, Prn-, or PT- specific serum IgG or IgA levels. Our study indicates plasma cells as a potential early cellular marker of an immune response and contributes to understanding differences in immune responses between age groups and primary vaccination backgrounds.Stemcel biology/Regenerative medicine (incl. bloodtransfusion
Age and primary vaccination background influence the plasma cell response to pertussis booster vaccination
Pertussis is a vaccine-preventable disease caused by the bacterium Bordetella pertussis. Over the past years, the incidence and mortality of pertussis increased significantly. A possible cause is the switch from whole-cell to acellular pertussis vaccines, although other factors may also contribute. Here, we applied high-dimensional flow cytometry to investigate changes in B cells in individuals of different ages and distinct priming backgrounds upon administration of an acellular pertussis booster vaccine. Participants were divided over four age cohorts. We compared longitudinal kinetics within each cohort and between the different cohorts. Changes in the B-cell compartment were correlated to numbers of vaccine-specific B- and plasma cells and serum Ig levels. Expansion and maturation of plasma cells 7 days postvaccination was the most prominent cellular change in all age groups and was most pronounced for more mature IgG1+ plasma cells. Plasma cell responses were stronger in individuals primed with whole-cell vaccine than in individuals primed with acellular vaccine. Moreover, IgG1+ and IgA1+ plasma cell expansion correlated with FHA-, Prn-, or PT- specific serum IgG or IgA levels. Our study indicates plasma cells as a potential early cellular marker of an immune response and contributes to understanding differences in immune responses between age groups and primary vaccination backgrounds
Quantitative trait loci conferring blast resistance in hexaploid wheat at adult plant stage
Damage of wheat blast on the productivity and quality of seeds as a function of the initial inoculum in the field
Biomass yield in production systems of soybean sown in succession to annual crops and cover crops
Localization of the lipopolysaccharide recognition complex in the human healthy and inflamed premature and adult gut
30-day morbidity and mortality of sleeve gastrectomy, Roux-en-Y gastric bypass and one anastomosis gastric bypass: a propensity score-matched analysis of the GENEVA data
Background: There is a paucity of data comparing 30-day morbidity and mortality of sleeve gastrectomy (SG), Roux-en-Y gastric bypass (RYGB), and one anastomosis gastric bypass (OAGB). This study aimed to compare the 30-day safety of SG, RYGB, and OAGB in propensity score-matched cohorts. Materials and methods: This analysis utilised data collected from the GENEVA study which was a multicentre observational cohort study of bariatric and metabolic surgery (BMS) in 185 centres across 42 countries between 01/05/2022 and 31/10/2020 during the Coronavirus Disease-2019 (COVID-19) pandemic. 30-day complications were categorised according to the Clavien–Dindo classification. Patients receiving SG, RYGB, or OAGB were propensity-matched according to baseline characteristics and 30-day complications were compared between groups. Results: In total, 6770 patients (SG 3983; OAGB 702; RYGB 2085) were included in this analysis. Prior to matching, RYGB was associated with highest 30-day complication rate (SG 5.8%; OAGB 7.5%; RYGB 8.0% (p = 0.006)). On multivariate regression modelling, Insulin-dependent type 2 diabetes mellitus and hypercholesterolaemia were associated with increased 30-day complications. Being a non-smoker was associated with reduced complication rates. When compared to SG as a reference category, RYGB, but not OAGB, was associated with an increased rate of 30-day complications. A total of 702 pairs of SG and OAGB were propensity score-matched. The complication rate in the SG group was 7.3% (n = 51) as compared to 7.5% (n = 53) in the OAGB group (p = 0.68). Similarly, 2085 pairs of SG and RYGB were propensity score-matched. The complication rate in the SG group was 6.1% (n = 127) as compared to 7.9% (n = 166) in the RYGB group (p = 0.09). And, 702 pairs of OAGB and RYGB were matched. The complication rate in both groups was the same at 7.5 % (n = 53; p = 0.07). Conclusions: This global study found no significant difference in the 30-day morbidity and mortality of SG, RYGB, and OAGB in propensity score-matched cohorts. © 2021, The Author(s)