Análise preditiva da eficiência global do equipamento : uma abordagem multivariada

Orientador: Prof. Dr. Marcos Augusto Mendes MarquesCoorientadora: Profa. Dra. Mariana KleinaDissertação (mestrado) - Universidade Federal do Paraná, Setor de Tecnologia, Programa de Pós-Graduação em Engenharia de Produção. Defesa : Curitiba, 17/06/2019Inclui referências: p. 134-137Resumo: As organizações visando o foco na manutenção de sua competitividade, buscam continuamente a gestão e melhoria de seus processos. Uma das metodologias muito utilizadas visando a redução de perdas e desperdícios é denominada de Manutenção Produtiva Total (TPM), a qual contempla técnicas para auxiliar na melhoria do desempenho de um processo, sendo uma delas conhecida como Eficiência Global do Equipamento (OEE), a qual permite demonstrar como a produção está se comportando, revelando desvios, desperdícios e perdas do processo, gerando informações para análise de dados. Com a aplicação dos conceitos da Indústria 4.0, mais especificamente em relação a utilização de equipamentos de coleta, transmissão e armazenamento de dados cada vez mais eficientes, observa-se uma quantidade expressiva de informações geradas a partir dos processos de fabricação. Tal realidade permite acesso a uma quantidade considerável de dados para a análise do OEE, a qual traz históricos sobre o comportamento dos equipamentos, processos, produtos, paradas de máquina, defeitos, entre outros. No presente trabalho, estas informações passaram por métodos analíticos multivariados, os quais objetivaram o retorno de previsões acerca da eficiência dos equipamentos. Neste processo, buscando a geração de um modelo preditivo para a análise do OEE, foram aplicadas técnicas estatísticas e multivariadas, como a análise da matriz de correlação, componentes principais e regressão linear múltipla. Porém, os resultados de maior relevância foram originados pela aplicação da técnica de Redes Neurais Artificiais (RNA), as quais retornaram previsões com boa exatidão sobre o OEE em relação as variáveis do processo, além de fornecer informações para a construção de elementos gráficos, os quais proporcionaram a observação do comportamento da eficiência do equipamento analisado em relação as variáveis preditoras. Estas analises, em alguns casos, trouxeram confirmações a respeito de convicções empíricas do processo, demonstrando como certas perdas do equipamento relacionadas a disponibilidade, performance e qualidade, impactam de forma positiva ou negativa nos índices de OEE. Tais resultados preditivos podem fornecer conjunturas de apoio para tomada de decisões precisas e oportunas, e com possíveis alternativas para roteiros mais eficientes e de menores custos. Neste âmbito, a análise de dados por meio de Redes Neurais Artificiais demonstrou que pode viabilizar resultados consideráveis para um ambiente de grande quantidade de dados e com uma expressiva variabilidade de informações. A análise de dados é cada vez mais reconhecida como um valioso conjunto de técnicas para aperfeiçoar o desempenho das empresas, desta forma, o intuito deste trabalho é demonstrar uma alternativa para a análise preditiva de OEE, por meio de abordagens multivariadas aplicadas em ambientes providos de grandes quantidades de dados. Palavras-chave: OEE. Análise preditiva. Análise multivariada. Redes neurais artificiais. Indústria 4.0. Big Data.Abstract: The organizations aiming at the maintenance of their competitiveness, continuously seek the management and improvement of their processes. One of the widely used methodologies used to reduce losses and wastes is called Total Productive Maintenance (TPM), which includes techniques to help improve the performance of a process, one of which is known as Global Equipment Effectiveness (OEE). which allows to demonstrate how the production is behaving, revealing deviations, wastes and losses of the process, generating information for data analysis. With the application of the concepts of Industry 4.0, more specifically in relation to the use of equipment of collection, transmission and storage of data increasingly efficient, an expressive amount of information generated from the manufacturing processes is observed. This reality allows access to a considerable amount of data for the OEE analysis, which brings history about the behavior of equipment, processes, products, machine stops, defects, among others. In the present work, this information went through multivariate analytical methods, which aimed to return predictions about the efficiency of the equipment. In this process, statistical and multivariate techniques, such as correlation matrix analysis, main components and multiple linear regression, were used to generate a predictive model for OEE analysis. However, the results of greater relevance were originated by the application of the technique of Artificial Neural Networks (RNA), which returned predictions with good accuracy on the OEE in relation to the process variables, besides providing information for the construction of graphic elements, the which provided the observation of the behavior of the efficiency of the analyzed equipment in relation to the predictive variables. These analyzes have in some cases brought confirmation of the empirical convictions of the process, demonstrating how certain equipment losses related to availability, performance and quality have a positive or negative impact on the OEE indexes. Such predictive results can provide support scenarios for accurate and timely decision making, and possible alternatives to more cost-effective and cost-effective roadmaps. In this context, data analysis through Artificial Neural Networks has demonstrated that it can provide considerable results for an environment with a large amount of data and with an expressive variability of information. Data analysis is increasingly recognized as a valuable set of techniques to improve the performance of companies, thus, the purpose of this work is to demonstrate an alternative to the predictive analysis of OEE, through multivariate approaches applied in environments provided by large amounts of data. Keywords: OEE. Predictive analysis. Multivariate analysis. Artificial neural networks. Industry 4.0. Big Data

Genetic analysis of environmental strains of the plant pathogen Phytophthora capsici reveals heterogeneous repertoire of effectors and possible effector evolution via genomic island

Phytophthora capsici is a virulent oomycete pathogen of many vegetable crops. Recently, it has been demonstrated that the recognition of the RXLR effector AVR3a1 of P. capsici (PcAVR3a1) triggers a hypersensitive response and plays a critical role in mediating non-host resistance. Here, we analyzed the occurrence of PcAVR3a1 in 57 isolates of P. capsici derived from globe squash, eggplant, tomato and bell pepper cocultivated in a small geographical area. The occurrence of PcAVR3a1 in environmental strains of P. capsici was confirmed by PCR in only 21 of these pathogen isolates. To understand the presence-absence pattern of PcAVR3a1 in environmental strains, the flanking region of this gene was sequenced. PcAVR3a1 was found within a genetic element that we named PcAVR3a1-GI (PcAVR3a1 genomic island). PcAVR3a1-GI was flanked by a 22-bp direct repeat, which is related to its site-specific recombination site. In addition to the PcAVR3a1 gene, PcAVR3a1-GI also encoded a phage integrase probably associated with the excision and integration of this mobile element. Exposure to plant induced the presence of an episomal circular intermediate of PcAVR3a1-GI, indicating that this mobile element is functional. Collectively, these findings provide evidence of PcAVR3a1 evolution via mobile elements in environmental strains of Phytophthora.Instituto de GenéticaFil: Iribarren, Maria Josefina. Universidad Nacional de Luján; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pascuan, Cecilia Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Soto, Gabriela Cinthia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ayub, Nicolás Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Root hydraulic conductivity and adjustments in stomatal conductance: hydraulic strategy in response to salt stress in a halotolerant species

Recent advances at the molecular level are introducing a new scenario that needs to be integrated into the analysis of plant hydraulic properties. Although it is not yet clear to what extent this scenario alters the current proposal for the hydraulic circuit models, it introduces new insights when studying plants that are able to easily overcome water restrictions. In this context, our aim was to explore water adjustments in a halotolerant model (Beta vulgaris) by studying the coordination between the root in terms of root hydraulic conductivity (Lpr) and the shoot as reflected in the stomatal conductance (gs). The root water pathways were also analysed in terms of root suberization (apoplastic barrier) and aquaporin transcript levels (cell-to-cell pathway). Beta vulgaris showed the ability to rapidly lose (4 h) and gain (24 h) turgor when submitted to salt stress (200 mM). The reduction profile observed in Lpr and gs was consistent with a coupled process. The tuning of the root water flow involved small variations in the studied aquaporin's transcripts before anatomical modifications occurred. Exploring Lpr enhancement after halting the stress contributed to show not only a different profile in restoring Lpr but also the capacity to uncouple Lpr from gs. Beta vulgaris root plays a key role and can anticipate water loss before the aerial water status is affected.Instituto de GenéticaFil: Vitali, Victoria Andrea. Universidad de Buenos Aires. Instituto de Biodiversidad y Biología Experimental. Facultad de Ciencias Exactas y Naturales. Departamento de Biodiversidad y Biología Experimental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Bellati, Jorge. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Biodiversidad y Biología Experimental. Departamento de Biodiversidad y Biología Experimental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Soto, Gabriela Cinthia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ayub, Nicolás Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Amodeo, Gabriela. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Biodiversidad y Biología Experimental. Departamento de Biodiversidad y Biología Experimental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

The genetic diversity of wild rescuegrass is associated with precipitation levels

The genus Bromus belongs to the family Poaceae, contains 3 over 160 annual and perennial species of grasses [...]Fil: Cuyeu, Romina. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigación de Ciencias Veterinarias y Agronómicas. Instituto de Genética; ArgentinaFil: Pagano, Elba Maria. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigación de Ciencias Veterinarias y Agronómicas. Instituto de Genética; ArgentinaFil: Rosso, Beatriz Elena. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: Soto, Gabriela Cynthia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular; ArgentinaFil: Ayub, Nicolas Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigación de Ciencias Veterinarias y Agronómicas. Instituto de Genética; Argentin

Hydroxybutyrate prevents protein aggregation in the halotolerant bacterium Pseudomonas sp. CT13 under abiotic stress

Polyhydroxybutyrate (PHB), a typical carbon and energy storage compound, is widely found in Bacteria and Archae domains. This polymer is produced in response to conditions of physiological stress. PHB is composed of repeating units of β-hydroxybutyrate (R-3HB). It has been previously shown that R-3HB functions as an osmolyte in extremophile strains. In this study, Pseudomonas sp. CT13, a halotolerant bacterium, and its PHB synthase-minus mutant (phaC) were used to analyze the chaperone role of R-3HB. The production of this compound was found to be essential to salt stress resistance and positively correlated with salt concentration, suggesting that PHB monomer acts as a compatible solute in Pseudomonas sp. CT13. R-3HB accumulation was also associated with the prevention of protein aggregation under combined salt and thermal stresses in Pseudomonas sp. CT13. Physiological concentrations of R-3HB efficiently reduced citrate synthase (CS) aggregation and stabilized the enzymatic activities of CS during thermal stress. Docking analysis of the CS/R-3HB interaction predicted the stability of this complex under physiological concentrations of R-3HB. Thus, in vivo, in vitro and in silico analyses suggest that R-3HB can act as a chemical chaperone.Fil: Soto, Gabriela Cynthia. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Grupo Vinculado Instituto de Genética "Ewald A. Favret" al Iabimo | Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular. Grupo Vinculado Instituto de Genética "Ewald A. Favret" al Iabimo; ArgentinaFil: Setten, Lorena María. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Grupo Vinculado Instituto de Genética "Ewald A. Favret" al Iabimo | Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular. Grupo Vinculado Instituto de Genética "Ewald A. Favret" al Iabimo; Argentina. Universidad de Morón; ArgentinaFil: Lisi, Christian Daniel. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Grupo Vinculado Instituto de Genética "Ewald A. Favret" al Iabimo | Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular. Grupo Vinculado Instituto de Genética "Ewald A. Favret" al Iabimo; ArgentinaFil: Maurelis, Camila. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Grupo Vinculado Instituto de Genética "Ewald A. Favret" al Iabimo | Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular. Grupo Vinculado Instituto de Genética "Ewald A. Favret" al Iabimo; ArgentinaFil: Mozzicafreddo, Matteo. Università degli Studi di Camerino; ItaliaFil: Cuccioloni, Massimiliano. Università degli Studi di Camerino; ItaliaFil: Angeletti, Mauro. Università degli Studi di Camerino; ItaliaFil: Ayub, Nicolás Daniel. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Grupo Vinculado Instituto de Genética "Ewald A. Favret" al Iabimo | Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular. Grupo Vinculado Instituto de Genética "Ewald A. Favret" al Iabimo; Argentin

Causality between Indian Futures and Cash Markets - Analysis with Granger Causality Block Exogenity Model

In India, spot market return, number of contracts, turnover and volatility of the futures market are having short run relationship with futures market return. On the basis of the empirical analysis it is clearly found that spot market is the key factor that predicts the movement of futures market and the trader can depend upon volatility and trading volume to take any decision on futures market trading. In precise, spot market return, volatility of the futures market, turnover and number of contract are the determinants of the futures market in India. Spot market return is the major determinants of the futures market, indeed variables from futures market itself like open interest and turnover of futures market can be taken into consideration for determining the futures market return. The empirical study is made with spot return, futures return, volatility of futures return, number of contract, trading volume and open interest of S&P CNX Nifty and its underlying index Nifty -50 for the period 12th June 2000- 30th June 2011by applying the VAR Granger Causality/Block Exogeny Test

Genetic diversity in a world germplasm collection of tall fescue

Festuca arundinacea Schreb., commonly known as tall fescue, is a major forage crop in temperate regions. Recently, a molecular analysis of different accessions of a world germplasm collection of tall fescue has demonstrated that it contains different species from the genus Festuca and allowed their rapid classification into the three major morphotypes (Continental, Mediterranean and Rhizomatous). In this study, we explored the genetic diversity of 161 accessions of Festuca species from 29 countries, including 28 accessions of INTA (Argentina), by analyzing 15 polymorphic SSR markers by capillary electrophoresis. These molecular markers allowed us to detect a total of 214 alleles. The number of alleles per locus varied between 5 and 24, and the values of polymorphic information content ranged from 0.627 to 0.840. In addition, the accessions analyzed by flow cytometry showed different ploidy levels (diploid, tetraploid, hexaploid and octaploid), placing in evidence that the world germplasm collection consisted of multiple species, as previously suggested. Interestingly, almost all accessions of INTA germplasm collection were true hexaploid tall fescue, belonging to two eco-geographic races (Continental and Mediterranean). Finally, the data presented revealed an ample genetic diversity of tall fescue showing the importance of preserving the INTA collection for future breeding programsFil: Cuyeu, Alba Romina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética "Ewald A. Favret"; ArgentinaFil: Rosso, Beatriz Susana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; ArgentinaFil: Pagano, Elba Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética "Ewald A. Favret"; ArgentinaFil: Soto, Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética "Ewald A. Favret"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fox, Ana Romina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética "Ewald A. Favret"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ayub, Nicolás Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética "Ewald A. Favret"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Genetic diversity in a world germplasm collection of tall fescue

Festuca arundinacea Schreb., commonly known as tall fescue, is a major forage crop in temperate regions. Recently, a molecular analysis of different accessions of a world germplasm collection of tall fescue has demonstrated that it contains different species from the genus Festuca and allowed their rapid classification into the three major morphotypes (Continental, Mediterranean and Rhizomatous). In this study, we explored the genetic diversity of 161 accessions of Festuca species from 29 countries, including 28 accessions of INTA (Argentina), by analyzing 15 polymorphic SSR markers by capillary electrophoresis. These molecular markers allowed us to detect a total of 214 alleles. The number of alleles per locus varied between 5 and 24, and the values of polymorphic information content ranged from 0.627 to 0.840. In addition, the accessions analyzed by flow cytometry showed different ploidy levels (diploid, tetraploid, hexaploid and octaploid), placing in evidence that the world germplasm collection consisted of multiple species, as previously suggested. Interestingly, almost all accessions of INTA germplasm collection were true hexaploid tall fescue, belonging to two eco-geographic races (Continental and Mediterranean). Finally, the data presented revealed an ample genetic diversity of tall fescue showing the importance of preserving the INTA collection for future breeding programs.Fil: Cuyeu, Romina. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigación de Ciencias Veterinarias y Agronómicas. Instituto de Genética; ArgentinaFil: Rosso, Beatriz Elena. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; ArgentinaFil: Pagano, Elba Maria. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigación de Ciencias Veterinarias y Agronómicas. Instituto de Genética; ArgentinaFil: Soto, Gabriela Cynthia. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigación de Ciencias Veterinarias y Agronómicas. Instituto de Genética; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fox, Ana Romina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular; ArgentinaFil: Ayub, Nicolas Daniel. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigación de Ciencias Veterinarias y Agronómicas. Instituto de Genética; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Synthetic multi-antibiotic resistant plasmids in plant-associated bacteria from agricultural soils

Objectives: Unlike higher organisms such as domestic animals and cultivated plants, which display a robust reproductive isolation and limited dispersal ability, microbes exhibit an extremely promiscuous gene flow and can rapidly disperse across the planet by multiple ways. Thus, microbial plasmids, including synthetic replicons, containing antibiotic resistance genes are a serious risk to public health. In this short communication, we explored the presence of synthetic elements in alfalfa symbionts (Ensifer meliloti strains) from agricultural soils. Methods: A total of 148 E. meliloti isolates from alfalfa plants growing under field conditions were collected from January 2015 to June 2019. Antimicrobial susceptibility testing was performed under laboratory conditions. We identified five kanamycin-resistant E. meliloti strains (named K1-K5). Whole genome sequencing analysis and conjugations were used to identify and study the plasmids of K strains. Results: We found that the genomes of K strains contain ampicillin, kanamycin and tetracycline resistance genes, the reporter gene lacZ from Escherichia coli and multiple cloning sites. These sequences were found within <58-kb plasmids related to the self-transmissible IncP plasmid RP4 from human pathogen Pseudomonas aeruginosa. Conjugation experiments confirmed the ability of K strains to transfer antibiotic resistance via conjugation to the Pseudomonas background. Conclusion: In addition to the traditional analysis of plant growth-promoting factors, the commercial deregulation of putative natural inoculants should also include genomic studies to ensure a reasonable balance between innovation and caution.Instituto de GenéticaFil: Brambilla, Silvina Maricel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Frare, Romina Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Stritzler, Margarita. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Soto, Gabriela Cinthia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Berini, Carolina Andrea. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Biomédicas en Retrovirus y Sida; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Jozefkowicz, Cintia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ayub, Nicolás Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Pseudomonas fluorescens Pf-5 genome-wide mutant screen for resistance to the antimicrobial peptide alfalfa snakin-1

Snakin-1, a peptide produced by higher plants, has broad-spectrum antibiotic activity, inhibiting organisms ranging from Bacteria to Eukaryotes. However, the mode of action against target organisms is poorly understood. As a first step to elucidate the mechanism, we screened a mutation library of Pseudomonas fluorescens Pf-5 in LB and agar medium supplemented with alfalfa snakin-1 (MsSN1). We identified three biofilm formation-related Pseudomonas mutants that showed increased resistance to MsSN1. Genetic, physiological and bioinformatics analysis validated the results of the mutant screens, indicating that bacterial adhesion protein lapA is probably the target of MsSN1. Collectively, these findings suggest that snakin-1 acts on microbial adhesion properties.Instituto de GenéticaFil: Ayub, Nicolás Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fox, Ana Romina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Garcia, Araceli Nora. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; ArgentinaFil: Mozzicafreddo, Matteo. University of Camerino. School of Biosciences and Biotechnology; ItaliaFil: Cuccioloni, Massimiliano. University of Camerino. School of Biosciences and Biotechnology; ItaliaFil: Angeletti, Mauro. University of Camerino. School of Biosciences and Biotechnology; ItaliaFil: Pagano, Elba Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; ArgentinaFil: Soto, Gabriela Cinthia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin