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1.
Int J Hyg Environ Health ; 220(8): 1318-1324, 2017 11.
Article in English | MEDLINE | ID: mdl-28882518

ABSTRACT

BACKGROUND: Viability quantitative Polymerase Chain Reaction (v-qPCR) is a recent analytical approach for only detecting live microorganisms by DNA amplification-based methods This approach is based on the use of a reagent that irreversibly fixes dead cells DNA. In this study, we evaluate the utility of v-qPCR versus culture method for Legionellosis risk management. METHODS: The present study was performed using 116 real samples. Water samples were simultaneously analysed by culture, v-qPCR and qPCR methods. Results were compared by means of a non-parametric test. RESULTS: In 11.6% of samples using both methods (culture method and v-qPCR) results were positive, in 50.0% of samples both methods gave rise to negative results. As expected, equivalence between methods was not observed in all cases, as in 32.1% of samples positive results were obtained by v-qPCR and all of them gave rise to negative results by culture. Only in 6.3% of samples, with very low Legionella levels, was culture positive and v-qPCR negative. In 3.5% of samples, overgrowth of other bacteria did not allow performing the culture. When comparing both methods, significant differences between culture and v-qPCR were in the samples belonging to the cooling towers-evaporative condensers group. The v-qPCR method detected greater presence and obtained higher concentrations of Legionella spp. (p<0.001). Otherwise, no significant differences between methods were found in the rest of the groups. CONCLUSIONS: The v-qPCR method can be used as a quick tool to evaluate Legionellosis risk, especially in cooling towers-evaporative condensers, where this technique can detect higher levels than culture. The combined interpretation of PCR results along with the ratio of live cells is proposed as a tool for understanding the sample context and estimating the Legionellosis risk potential according to 4 levels of hierarchy.


Subject(s)
DNA, Bacterial/analysis , Legionella/isolation & purification , Microbial Viability , Polymerase Chain Reaction/methods , Water Pollutants/analysis , Environmental Monitoring , Legionella/genetics , Legionellosis/prevention & control , Risk Management , Water Microbiology
2.
J Exp Bot ; 61(4): 1147-57, 2010 Feb.
Article in English | MEDLINE | ID: mdl-20080826

ABSTRACT

Grain weight is one of the most important components of cereal yield and quality. A clearer understanding of the physiological and molecular determinants of this complex trait would provide an insight into the potential benefits for plant breeding. In the present study, the dynamics of dry matter accumulation, water uptake, and grain size in parallel with the expression of expansins during grain growth in wheat were analysed. The stabilized water content of grains showed a strong association with final grain weight (r(2)=0.88, P <0.01). Grain length was found to be the trait that best correlated with final grain weight (r(2)=0.98, P <0.01) and volume (r(2)=0.94, P <0.01). The main events that defined final grain weight occurred during the first third of grain-filling when maternal tissues (the pericarp of grains) undergo considerable expansion. Eight expansin coding sequences were isolated from pericarp RNA and the temporal profiles of accumulation of these transcripts were monitored. Sequences showing high homology with TaExpA6 were notably abundant during early grain expansion and declined as maturity was reached. RNA in situ hybridization studies revealed that the transcript for TaExpA6 was principally found in the pericarp during early growth in grain development and, subsequently, in both the endosperm and pericarp. The signal in these images is likely to be the sum of the transcript levels of all three sequences with high similarity to the TaExpA6 gene. The early part of the expression profile of this putative expansin gene correlates well with the critical periods of early grain expansion, suggesting it as a possible factor in the final determination of grain size.


Subject(s)
Gene Expression Regulation, Developmental , Plant Proteins/genetics , Triticum/growth & development , Triticum/genetics , Biomass , Gene Expression Regulation, Plant , Plant Proteins/metabolism , Seeds/genetics , Seeds/growth & development , Seeds/metabolism , Triticum/metabolism
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