Impact of nickel oxide nanoparticles on yeast physiology

[Excerpt] In the recent years, nickel oxide (NiO) nanoparticles (NPs), have been used in different fields, such as in biosensors, catalysis, ceramics, electrochromic film, electronics, conductive and magnetic materials, energy storage devices, fuel cells, printing inks and wastewater treatment [1-2]. Due to the increasing use of these NPs, concerns about their possible toxic effects have been raised. In the present study, the yeast Saccharomyces cerevisiae was used as a cell model to evaluate the possible hazards of NiO NPs. Physicochemical characteristics of NiO in MES buffer, namely NPs agglomeration (examined by dynamic light scattering – DLS), surface charge (determination of zeta potential) and dissolution of the NPs (quantification of Ni2+ released in medium) were evaluated in order to be correlated with their toxicity. [...]info:eu-repo/semantics/publishedVersio

Nickel oxide nanoparticles induce toxicity in yeasts via oxidative stress

[Excerpt] The increasing use of nickel oxide (NiO) nanoparticles (NPs) raises concerns about their potential toxicity. In the present study, the yeast Saccharomyces cerevisiae was used, as a cell model, in order to elucidate whether the toxicity of NiO NPs is associated with the oxidative stress (OS). In abiotic conditions (cell free), NiO NPs were unable to induce the generation of reactive oxygen species (ROS), which excludes the possibility of exerting a pro-oxidant effect. However, yeast cells exposed to NiO NPs accumulated intracellularly superoxide anions (assessed with dihydroethidium) and hydrogen peroxide (evaluated with 2′,7′-dichlorodihydrofluorescein diacetate or dihydrorhodamine 123) when incubated in normal (oxygen) atmosphere. Yeast cells exposed to NiO also presented reduced cell viability (measured through a clonogenic assay). Yeasts co-exposed to NiO NPs and the antioxidants L-ascorbic acid (a scavenger of free radicals) or N-tertbutyl-α-phenylnitrone (a spin trapping agent) presented ROS quenching and increased cell viability, which suggests that NiO toxicity is linked to ROS production. [...]info:eu-repo/semantics/publishedVersio

Metal(loid) oxide (Al2O3, Mn3O4, SiO2 and SnO2) nanoparticles cause cytotoxicity in yeast via intracellular generation of reactive oxygen species

In this work, the physicochemical characterization of five (Al2O3, In2O3, Mn3O4, SiO2 and SnO2) nanoparticles (NPs) was carried out. In addition, the evaluation of the possible toxic impacts of these NPs and the respective modes of action were performed using the yeast Saccharomyces cerevisiae. In general, in aqueous suspension, metal(loid) oxide (MOx) NPs displayed an overall negative charge and agglomerated; these NPs were practically insoluble (dissolution <\thinspace8\\%) and did not generate detectable amounts of reactive oxygen species (ROS) under abiotic conditions. Except In2O3 NPs, which did not induce an obvious toxic effect on yeast cells (up to 100 mg/L), the other NPs induced a loss of cell viability in a dose-dependent manner. The comparative analysis of the loss of cell viability induced by the NPs with the ions released by NPs (NPs supernatant) suggested that SiO2 toxicity was mainly caused by the NPs themselves, Al2O3 and SnO2 toxic effects could be attributed to both the NPs and the respective released ions and Mn3O4 harmfulness could be mainly due to the released ions. Al2O3, Mn3O4, SiO2 and SnO2 NPs induced the loss of metabolic activity and the generation of intracellular ROS without permeabilization of plasma membrane. The co-incubation of yeast cells with MOx NPs and a free radical scavenger (ascorbic acid) quenched intracellular ROS and significantly restored cell viability and metabolic activity. These results evidenced that the intracellular generation of ROS constituted the main cause of the cytotoxicity exhibited by yeasts treated with the MOx NPs. This study highlights the importance of a ROS-mediated mechanism in the toxicity induced by MOx NPs.This work was performed in the framework of the financingby Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469/2019 unit and BioTecNorte operation (NORTE-01-0145-FEDER-000004) funded by the European Regional Development Fund under the scope of Norte2020—Programa Operacional Regional do Norte and LAQV (UID/QUI/50006/2019)with funding from FCT/MCTES through national funds.info:eu-repo/semantics/publishedVersio

Empiricism and stochastics in cellular automaton modeling of urban land use dynamics

An increasing number of models for predicting land use change in regions of rapidurbanization are being proposed and built using ideas from cellular automata (CA)theory. Calibrating such models to real situations is highly problematic and to date,serious attention has not been focused on the estimation problem. In this paper, wepropose a structure for simulating urban change based on estimating land usetransitions using elementary probabilistic methods which draw their inspiration fromBayes' theory and the related ?weights of evidence? approach. These land use changeprobabilities drive a CA model ? DINAMICA ? conceived at the Center for RemoteSensing of the Federal University of Minas Gerais (CSR-UFMG). This is based on aneight cell Moore neighborhood approach implemented through empirical land useallocation algorithms. The model framework has been applied to a medium-size townin the west of São Paulo State, Bauru. We show how various socio-economic andinfrastructural factors can be combined using the weights of evidence approach whichenables us to predict the probability of changes between land use types in differentcells of the system. Different predictions for the town during the period 1979-1988were generated, and statistical validation was then conducted using a multipleresolution fitting procedure. These modeling experiments support the essential logicof adopting Bayesian empirical methods which synthesize various information aboutspatial infrastructure as the driver of urban land use change. This indicates therelevance of the approach for generating forecasts of growth for Brazilian citiesparticularly and for world-wide cities in general

Herança da resistência de variedades comerciais brasileiras de soja à podridão radicular de fitóftora.

O objetivo do estudo foi avaliar a herança da resistência à podridão radicular de fitóftora, causada por causada por Phytophthora sojae (Kaufm. & Gerd.), presentes em variedades comerciais resistentes BRS 260, BRS 262, BRS 246RR e BRSMG 752S. Até hoje 14 genes, denominados Rps, foram descritos por conferirem resistência à PRF, os quais tem sido amplamente utilizados nos programas de melhoramento para proteção das cultivares de soja. O material experimental foi desenvolvido a partir do cruzamento das quatro cultivares entre si, totalizando seis cruzamentos. A população F2, os parentais utilizados nos cruzamentos e a cultivar suscetível BRS 268, foram inoculados com o patógeno utilizando a metodologia de Keeling (1982), adaptada por Yorinori (1996). O teste do qui-quadrado (?2) foi aplicado para aceitar ou rejeitar os padrões de segregação encontrados de plantas mortas e não-mortas esperadas para a população F2 segundo padrões mendelianos. O cruzamento BRS 260 x BRS 246RR não resultou em nenhum indivíduo morto, com isso conclui-se que os mesmos contém um gene de resistência no mesmo loco conferindo resistência a P. sojae. Nos cruzamentos BRSMG 752S x BRS 260 e BRS 246RR x BRSMG 752S foram observados padrões de segregação semelhantes, correspondentes à segregação de dois genes dominantes independentes. As três combinações de cruzamentos envolvendo a cultivar BRS 262 indicam a presença de três genes segregando independentemente nesses cruzamentos. Pode-se concluir que apenas nesse grupo de quatro cultivares resistentes já existem quatro locos de resistência à P. sojae disponíveis para serem explorados em programas de melhoramento de soja

Combining CV and RP data: a note on the relationship between consistency and rationality

In this paper, we show that, when combining revealed (RP) and stated (SP) data, for marginal changes in quality of environmental goods, rationality implies consistency, as the consistency conditions coincide with a subset of the conditions for rationality.combined (RP and SP) individual data; rationality; data consistency