No description available.

No description available.

A afiliação genérica de Fischerella e Hapalosiphon é problemática devido à instabilidade dos caracteres morfológicos. Os gêneros Fischerella e Hapalosiphon são diferenciados pela presença de tricoma multisseriado e uni ou bisseriado, respectivamente. Porém, geneticamente esses caracteres não se mostraram diacríticos para diferenciar gêneros. Estudos moleculares de linhagens isoladas de ecossistemas brasileiros são escassos para Fischerella e inexistentes para Hapalosiphon. Neste estudo, oito linhagens de cianobactérias, pertencentes à família Hapalosiphonaceae, isoladas de água doce e solos brasileiros foram caracterizadas morfologicamente e geneticamente e analisadas para a produção de substâncias bioativas. As análises morfológicas identificaram cinco morfotípos de Fischerella (CENA19, CENA161, CENA212, CENA213, CENA214) e três de Hapalosiphon (CENA63, CENA71, CENA72). As análises filogenéticas do RNAr 16S usando neighbor-joining (NJ) e máxima verossimilhança (MV) colocaram todas as linhagens isoladas em um agrupamento com alto suporte (reamostragens de 99% NJ e MV) contendo membros da ordem Nostocales. Além disso, as linhagens de Fischerella selecionadas para o estudo agruparam-se em um clado interno com alto valor de reamostragem (100% NJ e 86% MV), com exceção da Fischerella CENA19. A posição dessa estirpe na árvore filogenética indica que necessita de revisão taxonômica. As linhagens de solo Hapalosiphon CENA71 e CENA72 também formaram um clado interno separado (99% NJ e 98% MV), mas a linhagem de água doce CENA63 foi colocada em um clado diferente (com valores de reamostragens de 99% NJ e MV), juntamente com linhagens do gênero Hapalosiphon e Westielopsis prolífica SAG 16.93, oriundas de solo. A comparação das análises filogenéticas individuais de regiões dos genes RNAr 16S, rpoC1, rbcL, tufA, e cpcBA-IGS das três linhagens de Hapalosiphon e de duas linhagens de Fischerella, CENA19 e CENA161, mostrou resultados incongruentes devido as diferentes taxas evolutivas desses genes. No entanto, a análise filogenética concatenada desses genes, mostrou que a Fischerella CENA19 agrupou com as duas linhagens de Hapalosiphon CENA71 e CENA72, com alto valor de reamostragem (100%), enquanto que a Fischerella CENA 161 e a Hapalosiphon CENA63 posicionaram-se cada uma em clados separados. Os resultados indicam que a nomenclatura das linhagens de cianobactérias da família Hapalosiphonaceae necessita de revisão. Os extratos intra e extracelulares das linhagens Fischerella sp. CENA161 e CENA19 e Hapalosiphon sp. CENA71 e CENA72 mostraram efeitos inibitórios no crescimento de bactérias patogênicas. As análises em espectrômetro de massas Q-TOF MS/MS indicaram a putativa presença de aeruginopeptina, cianopeptolina, fischerelina, aeruginosina, oscilapeptilida, microcistinas e ácido tumonóico nos extratos. No extrato intracelular da Fischerella sp. CENA161 identificou-se três ou quatro variantes de microcistinas, LR, LL, FR e/ou M(O)R. Fragmentos dos genes mcyA, mcyB, mcyC, mcyD, mcyE, mcyG e mcyI dessa linhagem foram seqüenciados. Nas duas análises filogenéticas realizadas com sequências de aminoácidos de McyE e sequências concatenadas de McyD, McyE e McyG, as enzimas da microcistina sintetase ficaram agrupadas de acordo com os gêneros de cianobactérias indicando um padrão de evolução / The generic affiliation of Fischerella and Hapalosiphon is problematic due to instability of morphological characters. The Fischerella and Hapalosiphon genera are differentiated by the presence of trichome multisseriate and uni or bisseriate, respectively. However, genetically these characters were not diacritical to distinguish genera. Molecular studies of strains isolated from Brazilian ecosystems are scarce for Fischerella and absent for Hapalosiphon. In this study, eight cyanobacterial strains, belonging to Hapalosiphonaceae family, isolated from Brazilian freshwater and soil were morphologically and genetically characterized and analyzed for bioactive compound productions. The morphological analyses identified five Fischerella (CENA19, CENA161, CENA212, CENA213, CENA214) and three Hapalosiphon (CENA63, CENA71, CENA72) morphotypes. The neighbor-Joining (NJ) and maximum likelihood (ML) phylogenetic analyses of 16S rRNA placed all isolated strains in high supported (99% NJ and ML of bootstrap) cluster containing members of the order Nostocales. Furthermore, the Fischerella strains studied were grouped in an internal clade with high bootstrap value (100% NJ and 86% ML), with exception of Fischerella CENA19. The position of this strain in the phylogenetic tree indicates that it needs taxonomical revision. The soil Hapalosiphon strains CENA71 and CENA72 also formed a separated tight internal clade (99% NJ and 98% ML), but the freshwater strain CENA63 was placed in a different clade (99% NJ and ML of bootstrap value) together with Hapalosiphon strains genera and Westielopsis prolifica SAG 16.93, originated from soil. The comparison of the phylogenetic analyses of individual regions of the genes 16S rRNA, rpoC1, rbcL, tufA, and cpcBA-IGS from the three Hapalosiphon strains and the two Fischerella strains CENA19 and CENA161 showed incongruent results due to different evolutionary rates of these genes. However, the concatenated phylogenetic analysis of these genes, showed that Fischerella CENA19 grouped with the two Hapalosiphon strains CENA71 and CENA72 with high bootstrap value (100%), while Fischerella CENA 161 and Hapalosiphon CENA63 were positionated each one in separate clades. The results indicate that the nomenclature of cyanobacterial strains from the family Hapalosiphonaceae needs revision. The intra and extracellular extracts of the Fischerella sp. strains CENA161 and CENA19 and Hapalosiphon sp. strains CENA71 and CENA72 showed inhibitory effects on the growth of pathogenic bacteria. The analysis in the mass spectrometer Q-TOF MS/MS indicated the presence of aeruginopeptin, cyanopeptolin, fischerellin, aeruginosin, oscillapeptilide, microcystins and tumonoic acid in the extracts. In the intracellular extracts of Fischerella sp. CENA161, three or four variants of microcystins, LR, LL, FR and/or M(O)R, were identified. Fragments of genes mcyA, mcyB, mcyC, mcyD, mcyE, mcyG and mcyI of this strain were sequenced. In both phylogenetic analyses performed with amino acid sequences of McyE and concatenated sequences of McyD, McyE and McyG, the microcystin synthetase enzymes were grouped according to the cyanobacterial genera, indicating a pattern of evolution

A afiliação genérica de Fischerella e Hapalosiphon é problemática devido à instabilidade dos caracteres morfológicos. Os gêneros Fischerella e Hapalosiphon são diferenciados pela presença de tricoma multisseriado e uni ou bisseriado, respectivamente. Porém, geneticamente esses caracteres não se mostraram diacríticos para diferenciar gêneros. Estudos moleculares de linhagens isoladas de ecossistemas brasileiros são escassos para Fischerella e inexistentes para Hapalosiphon. Neste estudo, oito linhagens de cianobactérias, pertencentes à família Hapalosiphonaceae, isoladas de água doce e solos brasileiros foram caracterizadas morfologicamente e geneticamente e analisadas para a produção de substâncias bioativas. As análises morfológicas identificaram cinco morfotípos de Fischerella (CENA19, CENA161, CENA212, CENA213, CENA214) e três de Hapalosiphon (CENA63, CENA71, CENA72). As análises filogenéticas do RNAr 16S usando neighbor-joining (NJ) e máxima verossimilhança (MV) colocaram todas as linhagens isoladas em um agrupamento com alto suporte (reamostragens de 99% NJ e MV) contendo membros da ordem Nostocales. Além disso, as linhagens de Fischerella selecionadas para o estudo agruparam-se em um clado interno com alto valor de reamostragem (100% NJ e 86% MV), com exceção da Fischerella CENA19. A posição dessa estirpe na árvore filogenética indica que necessita de revisão taxonômica. As linhagens de solo Hapalosiphon CENA71 e CENA72 também formaram um clado interno separado (99% NJ e 98% MV), mas a linhagem de água doce CENA63 foi colocada em um clado diferente (com valores de reamostragens de 99% NJ e MV), juntamente com linhagens do gênero Hapalosiphon e Westielopsis prolífica SAG 16.93, oriundas de solo. A comparação das análises filogenéticas individuais de regiões dos genes RNAr 16S, rpoC1, rbcL, tufA, e cpcBA-IGS das três linhagens de Hapalosiphon e de duas linhagens de Fischerella, CENA19 e CENA161, mostrou resultados incongruentes devido as diferentes taxas evolutivas desses genes. No entanto, a análise filogenética concatenada desses genes, mostrou que a Fischerella CENA19 agrupou com as duas linhagens de Hapalosiphon CENA71 e CENA72, com alto valor de reamostragem (100%), enquanto que a Fischerella CENA 161 e a Hapalosiphon CENA63 posicionaram-se cada uma em clados separados. Os resultados indicam que a nomenclatura das linhagens de cianobactérias da família Hapalosiphonaceae necessita de revisão. Os extratos intra e extracelulares das linhagens Fischerella sp. CENA161 e CENA19 e Hapalosiphon sp. CENA71 e CENA72 mostraram efeitos inibitórios no crescimento de bactérias patogênicas. As análises em espectrômetro de massas Q-TOF MS/MS indicaram a putativa presença de aeruginopeptina, cianopeptolina, fischerelina, aeruginosina, oscilapeptilida, microcistinas e ácido tumonóico nos extratos. No extrato intracelular da Fischerella sp. CENA161 identificou-se três ou quatro variantes de microcistinas, LR, LL, FR e/ou M(O)R. Fragmentos dos genes mcyA, mcyB, mcyC, mcyD, mcyE, mcyG e mcyI dessa linhagem foram seqüenciados. Nas duas análises filogenéticas realizadas com sequências de aminoácidos de McyE e sequências concatenadas de McyD, McyE e McyG, as enzimas da microcistina sintetase ficaram agrupadas de acordo com os gêneros de cianobactérias indicando um padrão de evolução / The generic affiliation of Fischerella and Hapalosiphon is problematic due to instability of morphological characters. The Fischerella and Hapalosiphon genera are differentiated by the presence of trichome multisseriate and uni or bisseriate, respectively. However, genetically these characters were not diacritical to distinguish genera. Molecular studies of strains isolated from Brazilian ecosystems are scarce for Fischerella and absent for Hapalosiphon. In this study, eight cyanobacterial strains, belonging to Hapalosiphonaceae family, isolated from Brazilian freshwater and soil were morphologically and genetically characterized and analyzed for bioactive compound productions. The morphological analyses identified five Fischerella (CENA19, CENA161, CENA212, CENA213, CENA214) and three Hapalosiphon (CENA63, CENA71, CENA72) morphotypes. The neighbor-Joining (NJ) and maximum likelihood (ML) phylogenetic analyses of 16S rRNA placed all isolated strains in high supported (99% NJ and ML of bootstrap) cluster containing members of the order Nostocales. Furthermore, the Fischerella strains studied were grouped in an internal clade with high bootstrap value (100% NJ and 86% ML), with exception of Fischerella CENA19. The position of this strain in the phylogenetic tree indicates that it needs taxonomical revision. The soil Hapalosiphon strains CENA71 and CENA72 also formed a separated tight internal clade (99% NJ and 98% ML), but the freshwater strain CENA63 was placed in a different clade (99% NJ and ML of bootstrap value) together with Hapalosiphon strains genera and Westielopsis prolifica SAG 16.93, originated from soil. The comparison of the phylogenetic analyses of individual regions of the genes 16S rRNA, rpoC1, rbcL, tufA, and cpcBA-IGS from the three Hapalosiphon strains and the two Fischerella strains CENA19 and CENA161 showed incongruent results due to different evolutionary rates of these genes. However, the concatenated phylogenetic analysis of these genes, showed that Fischerella CENA19 grouped with the two Hapalosiphon strains CENA71 and CENA72 with high bootstrap value (100%), while Fischerella CENA 161 and Hapalosiphon CENA63 were positionated each one in separate clades. The results indicate that the nomenclature of cyanobacterial strains from the family Hapalosiphonaceae needs revision. The intra and extracellular extracts of the Fischerella sp. strains CENA161 and CENA19 and Hapalosiphon sp. strains CENA71 and CENA72 showed inhibitory effects on the growth of pathogenic bacteria. The analysis in the mass spectrometer Q-TOF MS/MS indicated the presence of aeruginopeptin, cyanopeptolin, fischerellin, aeruginosin, oscillapeptilide, microcystins and tumonoic acid in the extracts. In the intracellular extracts of Fischerella sp. CENA161, three or four variants of microcystins, LR, LL, FR and/or M(O)R, were identified. Fragments of genes mcyA, mcyB, mcyC, mcyD, mcyE, mcyG and mcyI of this strain were sequenced. In both phylogenetic analyses performed with amino acid sequences of McyE and concatenated sequences of McyD, McyE and McyG, the microcystin synthetase enzymes were grouped according to the cyanobacterial genera, indicating a pattern of evolution

No description available.

Algae and cyanobacteria occur naturally in source waters and are known to cause extensive problems in the drinking water treatment industry. Cyanobacteria (especially Anabaena sp. and Microcystis sp.) are responsible for many water treatment problems in drinking water treatment works (DWTW) all over the world because of their ability to produce organic compounds like cyanotoxins (e.g. microcystin) and taste and odour compounds (e.g. geosmin) that can have an adverse effect on consumer health and consumer confidence in tap water. Therefore, the monitoring of cyanobacteria in source waters entering DWTW has become an essential part of drinking water treatment management. Managers of DWTW, rely heavily on results of physical, chemical and biological water quality analyses, for their management decisions. But results of water quality analyses can be delayed from 3 hours to a few days depending on a magnitude of factors such as: sampling, distance and accessibility to laboratory, laboratory sample turn-around times, specific methods used in analyses etc. Therefore the use of on-line (in situ) instruments that can supply real-time results by the click of a button has become very popular in the past few years. On-line instruments were developed for analyses like pH, conductivity, nitrate, chlorophyll-a and cyanobacteria concentrations. Although, this real-time (on-line) data has given drinking water treatment managers a better opportunity to make sound management decisions around drinking water treatment options based on the latest possible results, it may still be “too little, too late” once a sudden cyanobacterial bloom of especially Anabaena sp. or Microcystis sp. enters the plant. Therefore the benefit for drinking water treatment management, of changing the focus from real-time results to future predictions of water quality has become apparent. The aims of this study were 1) to review the environmental variables associated with cyanobacterial blooms in the Vaal Dam, as to get background on the input variables that can be used in cyanobacterial-related forecasting models; 2) to apply rule-based Hybrid Evolutionary Algorithms (HEAs) to develop models using a) all applicable laboratory-generated data and b) on-line measureable data only, as input variables in prediction models for harmful algal blooms in the Vaal Dam; 3) to test these models with data that was not used to develop the models (so-called “unseen data”), including on-line (in situ) generated data; and 4) to incorporate selected models into two cyanobacterial incident management protocols which link to the Water Safety Plan (WSP) of a large DWTW (case study : Rand Water). During the current study physical, chemical and biological water quality data from 2000 to 2009, measured in the Vaal Dam and the 20km long canal supplying the Zuikerbosch DWTW of Rand Water, has been used to develop models for the prediction of Anabaena sp., Microcystis sp., the cyanotoxin microcystin and the taste and odour compound geosmin for different prediction or forecasting times in the source water. For the development and first stage of testing the models, 75% of the dataset was used to train the models and the remaining 25% of the dataset was used to test the models. Boot-strapping was used to determine which 75% of the dataset was to be used as the training dataset and which 25% as the testing dataset. Models were also tested with 2 to 3 years of so called “unseen data” (Vaal Dam 2010 – 2012) i.e. data not used at any stage during the model development. Fifty different models were developed for each set of “x input variables = 1 output variable” chosen beforehand. From the 50 models, the best model between the measured data and the predicted data was chosen. Sensitivity analyses were also performed on all input variables to determine the variables that have the largest impact on the result of the output. This study have shown that hybrid evolutionary algorithms can successfully be used to develop relatively accurate forecasting models, which can predict cyanobacterial cell concentrations (particularly Anabaena sp. and Microcystis sp.), as well as the cyanotoxin microcystin concentration in the Vaal Dam, for up to 21 days in advance (depending on the output variable and the model applied). The forecasting models that performed the best were those forecasting 7 days in advance (R2 = 0.86, 0.91 and 0.75 for Anabaena[7], Microcystis[7] and microcystin[7] respectively). Although no optimisation strategies were performed, the models developed during this study were generally more accurate than most models developed by other authors utilising the same concepts and even models optimised by hill climbing and/or differential evolution. It is speculated that including “initial cyanobacteria inoculum” as input variable (which is unique to this study), is most probably the reason for the better performing models. The results show that models developed from on-line (in situ) measureable data only, are almost as good as the models developed by using all possible input variables. The reason is most probably because “initial cyanobacteria inoculum” – the variable towards which the output result showed the greatest sensitivity – is included in these models. Generally models predicting Microcystis sp. in the Vaal Dam were more accurate than models predicting Anabaena sp. concentrations and models with a shorter prediction time (e.g. 7 days in advance) were statistically more accurate than models with longer prediction times (e.g. 14 or 21 days in advance). The multi-barrier approach in risk reduction, as promoted by the concept of water safety plans under the banner of the Blue Drop Certification Program, lends itself to the application of future predictions of water quality variables. In this study, prediction models of Anabaena sp., Microcystis sp. and microcystin concentrations 7 days in advance from the Vaal Dam, as well as geosmin concentration 7 days in advance from the canal were incorporated into the proposed incident management protocols. This was managed by adding an additional “Prediction Monitoring Level” to Rand Waters’ microcystin and taste and odour incident management protocols, to also include future predictions of cyanobacteria (Anabaena sp. and Microcystis sp.), microcystin and geosmin. The novelty of this study was the incorporation of future predictions into the water safety plan of a DWTW which has never been done before. This adds another barrier in the potential exposure of drinking water consumers to harmful and aesthetically unacceptable organic compounds produced by cyanobacteria. / PhD (Botany), North-West University, Potchefstroom Campus, 2015

Algae and cyanobacteria occur naturally in source waters and are known to cause extensive problems in the drinking water treatment industry. Cyanobacteria (especially Anabaena sp. and Microcystis sp.) are responsible for many water treatment problems in drinking water treatment works (DWTW) all over the world because of their ability to produce organic compounds like cyanotoxins (e.g. microcystin) and taste and odour compounds (e.g. geosmin) that can have an adverse effect on consumer health and consumer confidence in tap water. Therefore, the monitoring of cyanobacteria in source waters entering DWTW has become an essential part of drinking water treatment management. Managers of DWTW, rely heavily on results of physical, chemical and biological water quality analyses, for their management decisions. But results of water quality analyses can be delayed from 3 hours to a few days depending on a magnitude of factors such as: sampling, distance and accessibility to laboratory, laboratory sample turn-around times, specific methods used in analyses etc. Therefore the use of on-line (in situ) instruments that can supply real-time results by the click of a button has become very popular in the past few years. On-line instruments were developed for analyses like pH, conductivity, nitrate, chlorophyll-a and cyanobacteria concentrations. Although, this real-time (on-line) data has given drinking water treatment managers a better opportunity to make sound management decisions around drinking water treatment options based on the latest possible results, it may still be “too little, too late” once a sudden cyanobacterial bloom of especially Anabaena sp. or Microcystis sp. enters the plant. Therefore the benefit for drinking water treatment management, of changing the focus from real-time results to future predictions of water quality has become apparent. The aims of this study were 1) to review the environmental variables associated with cyanobacterial blooms in the Vaal Dam, as to get background on the input variables that can be used in cyanobacterial-related forecasting models; 2) to apply rule-based Hybrid Evolutionary Algorithms (HEAs) to develop models using a) all applicable laboratory-generated data and b) on-line measureable data only, as input variables in prediction models for harmful algal blooms in the Vaal Dam; 3) to test these models with data that was not used to develop the models (so-called “unseen data”), including on-line (in situ) generated data; and 4) to incorporate selected models into two cyanobacterial incident management protocols which link to the Water Safety Plan (WSP) of a large DWTW (case study : Rand Water). During the current study physical, chemical and biological water quality data from 2000 to 2009, measured in the Vaal Dam and the 20km long canal supplying the Zuikerbosch DWTW of Rand Water, has been used to develop models for the prediction of Anabaena sp., Microcystis sp., the cyanotoxin microcystin and the taste and odour compound geosmin for different prediction or forecasting times in the source water. For the development and first stage of testing the models, 75% of the dataset was used to train the models and the remaining 25% of the dataset was used to test the models. Boot-strapping was used to determine which 75% of the dataset was to be used as the training dataset and which 25% as the testing dataset. Models were also tested with 2 to 3 years of so called “unseen data” (Vaal Dam 2010 – 2012) i.e. data not used at any stage during the model development. Fifty different models were developed for each set of “x input variables = 1 output variable” chosen beforehand. From the 50 models, the best model between the measured data and the predicted data was chosen. Sensitivity analyses were also performed on all input variables to determine the variables that have the largest impact on the result of the output. This study have shown that hybrid evolutionary algorithms can successfully be used to develop relatively accurate forecasting models, which can predict cyanobacterial cell concentrations (particularly Anabaena sp. and Microcystis sp.), as well as the cyanotoxin microcystin concentration in the Vaal Dam, for up to 21 days in advance (depending on the output variable and the model applied). The forecasting models that performed the best were those forecasting 7 days in advance (R2 = 0.86, 0.91 and 0.75 for Anabaena[7], Microcystis[7] and microcystin[7] respectively). Although no optimisation strategies were performed, the models developed during this study were generally more accurate than most models developed by other authors utilising the same concepts and even models optimised by hill climbing and/or differential evolution. It is speculated that including “initial cyanobacteria inoculum” as input variable (which is unique to this study), is most probably the reason for the better performing models. The results show that models developed from on-line (in situ) measureable data only, are almost as good as the models developed by using all possible input variables. The reason is most probably because “initial cyanobacteria inoculum” – the variable towards which the output result showed the greatest sensitivity – is included in these models. Generally models predicting Microcystis sp. in the Vaal Dam were more accurate than models predicting Anabaena sp. concentrations and models with a shorter prediction time (e.g. 7 days in advance) were statistically more accurate than models with longer prediction times (e.g. 14 or 21 days in advance). The multi-barrier approach in risk reduction, as promoted by the concept of water safety plans under the banner of the Blue Drop Certification Program, lends itself to the application of future predictions of water quality variables. In this study, prediction models of Anabaena sp., Microcystis sp. and microcystin concentrations 7 days in advance from the Vaal Dam, as well as geosmin concentration 7 days in advance from the canal were incorporated into the proposed incident management protocols. This was managed by adding an additional “Prediction Monitoring Level” to Rand Waters’ microcystin and taste and odour incident management protocols, to also include future predictions of cyanobacteria (Anabaena sp. and Microcystis sp.), microcystin and geosmin. The novelty of this study was the incorporation of future predictions into the water safety plan of a DWTW which has never been done before. This adds another barrier in the potential exposure of drinking water consumers to harmful and aesthetically unacceptable organic compounds produced by cyanobacteria. / PhD (Botany), North-West University, Potchefstroom Campus, 2015

A contaminação da água para consumo humano por toxinas produzidas por cianobactérias é um problema de saúde pública e das autoridades em todo o mundo. Microcistina-LR (MCLR) é uma cianotoxina heptapeptídica cíclica que inibe as proteínas fosfatases PP1 E PP2A nos hepatócitos. Microcistinas são produzidas por diversos gêneros de cianobactérias e mais de 70 variações estruturais têm sido caracterizadas em florações naturais. Por serem haptenos, as microcistinas são incapazes de induzir uma resposta imune em animais. Conseqüentemente, foi necessário aplicar métodos de conjugação envolvendo a adição de uma proteína carreadora, mcKLH (cationized Keyhole Limpet Hemocyanin). Portanto, o objetivo inicial desta tese foi o de obter anticorpos monoclonal (em camundongos) e policlonal (em coelho) anti- MCLR. Com relação ao anticorpo monoclonal foram obtidos 9 hibridomas (k29, k210, k317, k248, k284, k290, k2161, k2226, k2232), sendo que apenas 5 se mostraram estáveis (k29, k317, k248, k284, k2232). Estes foram selecionados para serem isotipados, expandidos em líquido ascítico, purificados em coluna cromatográfica de proteína-A e titulados. Dentre estes cinco hibridomas secretores de anticorpos, o clone k317 foi o que melhor reconheceu (mais específico) a toxina MCLR. Os anticorpos do sobrenadante de meio de cultura do hibridoma e o fluido ascítico purificado foram identificados pelo ensaio ELISA (Enzyme Linked Immunosorbent Assay) previamente padronizado. Mesmo sensibilizando a placa de ELISA com diferentes antígenos, tais como MCLR-cBSA, MCLR, MCLR, MCRR, MCYR e MCLA, o clone 17 foi o que apresentou melhor linearidade frente às variantes de microcistina. Portanto, o clone 17 (isótipo IgG1) obtido é muito promissor e será usado para detecção de MCLR na água para consumo humano através do desenvolvimento de um kit de ELISA competição. Com relação ao anticorpo policlonal, o antígeno de imunização foi MCLR-mcKLH, enquanto que o antígeno de sensibilização foi MCLR-cBSA para o ensaio de titulação de anticorpos de classe IgG por ELISA indireto. Na seqüencia, foi padronizado um ensaio ELISA competição utilizando somente a toxina MCLR como antígeno de sensibilização. Este método Caseína foi padronizado, validado e comparado com o kit comercial Abraxis®. O kit ELISA competição que utiliza anticorpo policlonal, nomeado como método Caseína, foi avaliado quanto Limite Inferior de Quantificação, Especificidade, Seletividade, influência do metanol no ensaio, Recuperação, Linearidade, Precisão, Exatidão e Robustez. Este método de triagem apresentou excelente resultado quando comparado ao kit comercial Abraxis®, pois foi capaz de detectar tanto variantes de microcistinas como nodularinas no ambiente aquático. O ensaio ELISA competição utilizando anticorpo policlonal anti-MCLR foi submetido à patente pela Agência USP de Inovação (I.N.P.I. 018090046230). / The contamination of drinking water by cyanobacterial toxins is a public health issue and a concern for water authorities throughout the world. Microcystin-LR (MCLR) is a hazardous cyclic heptapeptide cyanotoxin, which inhibits protein phosphatase PP1 and PP2A in hepatocytes. Microcystins are produced by several genera of cyanobacteria and presents more than 70 structural variations characterized in natural blooms. As haptens, microcystins are unable to invoke an immune response in animals. Consequently, the application of conjugation methods with an additional carrier protein, the KLH (Keyhole Limpet Hemocyanin) was necessary. The main objective of this study was to obtain monoclonal (in mice) and polyclonal (in rabbits) antibodies for reacting against MCLR. In what refers to monoclonal antibodies, 9 hybridomas (k29, k210, k317, k248, k284, k290, k2161, k2226, k2232) were obtained; however only 5 were stables (k29, k317, k248, k284, k2232). These were selected to be isotyped, expanded in ascitic fluid, purified by protein-A column chromatography and then, they were titrated. Out of these five antibody-secretor hybridomas, clone k317 was the best to recognize (more specific) the MCLR toxins. Antibodies in hybridoma cell culture supernatant and purified ascites fluid were identified by ELISA assay (Enzyme Linked Immunosorbent Assay) as prior standardized. Even when sensitizing ELISA plate with different antigens, as MCLR-cBSA, MCLR, MCLR, MCRR, MCYR and MCLA, clone 17 presented the best linearity against microcystin variants. Therefore, the obtained clone 17 (isotype IgG1) is a promising clone and shall be used for detecting MCLR in drinking water through the development of a competitive ELISA immunoassay kit. In what refers to the polyclonal antibody, MCLR-mcKLH was used as immunization antigen, while MCLR-cBSA was used as sensitizing antigen for the IgG titration assay by indirect ELISA. In the sequence, a competition ELISA assay was standardized using the MCLR toxin as sensitizing antigen. This Casein method was standardized, validated and compared to the commercial kit Abraxis®. The competition ELISA kit using polyclonal antibody, known as Casein method, was analyzed concerning its Quantification Inferior Limit, Specificity, Selectivity, methanol influence of the assay, Recuperation, Linearity, Precision, Accuracy and Robustness. This screening method reached excellent results if compared to the commercial kit Abraxis®, for being able to detect both the microcystins variants and the nodularins in aquatic environmental. The competition ELISA assay using anti-MCLR polyclonal antibody was submitted to the grant of a patent by USP Innovation Agency (INPI 018090046230).

Fischerella é um gênero cianobacteriano de ocorrência em diversos ambientes subaerofíticos que apresenta importância ecológica, evolutiva, biogeoquímica, biotecnológica e ecotoxicológica. O estudo de seu genoma pode levar a uma melhor compreensão de seu metabolismo secundário e de sua capacidade de produção de cianotoxinas e outras moléculas bioativas. A linhagem Fischerella CENA161, isolada de uma nascente de água na região de Piracicaba, foi identificada como produtora do peptídeo hepatotóxico microcistina. Este foi o primeiro relato da produção dessa toxina por esse gênero de cianobactéria. Dessa maneira, este trabalho teve como objetivo sequenciar o genoma da cianobactéria Fischerella CENA161 e realizar sua montagem e a anotação de genes envolvidos com seu metabolismo secundário. Para isso, a linhagem foi tratada com hipoclorito de sódio para remover as bactérias heterotróficas, com posterior esgotamento de pequenos fragmentos em placa de cultura sólida, de forma a isolar a linhagem. Foi realizada a extração de ácido desoxirribonucleico das células tratadas da CENA161 cultivadas em Erlenmeyers contendo meio de cultura líquido BG-110. Uma biblioteca genômica foi construída para o sequenciamento MiSeq e, então, foi realizada a montagem ab initio do genoma com as leituras obtidas. A anotação de genes foi realizada utilizando a ferramenta antiSMASH, para a predição de metabólitos secundários, e também foi realizado o alinhamento de sequências nucleotídicas já conhecidas de outras linhagens contra o genoma da CENA161, utilizando a ferramenta BLASTN. As moléculas bioativas produzidas pela linhagem foram investigadas através de bioensaios contra bactérias e fungo, e utilizando cromatografia líquida de alta pressão e espectrometria de massas. Os resultados mostraram que a linhagem CENA161 possui, em seu genoma, o agrupamento gênico de biossíntese da microcistina, apresentando os 10 genes descritos primeiramente (mcyA-mcyJ), e alta identidade de suas sequências com as sequências da linhagem Fischerella sp. PCC 9339, embora sua sintenia gênica esteja mais próxima à da linhagem Nostoc sp. 152. Ainda, foram anotados os agrupamentos gênicos de biossíntese de ambiguina (amb), apresentando 25 genes do total de 32 genes descritos para a linhagem Fischerella sp. UTEX 1903, com identidade mínima de 98 % entre as sequências nucleotídicas. Foram encontrados, também, seis genes do total de oito que formam o agrupamento de biossíntese de nostopeptolida (nos), descrito para Nostoc sp. GSV224, e com sintenia diferenciada para a linhagem CENA161. As análises químicas de espectrometria de massas mostraram a produção de sete variantes de microcistina (MC-LR, MC-LL, MC-LA, MC-LM, MC-FR, MC-LAba e [D-Asp3]Mc-LL), essas duas últimas raramente descritas pela literatura. Os bioensaios mostraram bioatividade dos extratos intracelular polar e apolar contra Staphylococcus aureus, Bacillus cereus, Salmonella typhimurium, Burkholderia cepacia, Xanthomonas campestris e Candida albicans. A coleta das frações do extrato apolar por cromatografia líquida revelou bioatividade em três diferentes tempos de aquisição. As frações coletadas do extrato polar evidenciaram o pico de microcistina, constatada a partir da linhagem CENA161 axênica, inclusive. Nossos resultados revelaram a presença de agrupamentos gênicos de síntese de moléculas bioativas e a habilidade da linhagem Fischerella sp. CENA161 em produzir diferentes substâncias bioativas, sintetizadas pela via ribossomal e não ribossomal, em condições axênicas. / Fischerella is a cyanobacterial genus that occurs in several subaerophytic environments and presents ecological, evolutive, biogeochemical, biotechnologic and ecotoxicologic importance. The study of the genome can leads to the better compreension about its metabolism and its ability to produce cyanotoxins and other bioactive molecules. The Fischerella sp. strain CENA161 was isolated from a spring water in Piracicaba, and it was identified microcystin peptide hepatotoxic producer. That was the first report about the production of the toxin by this cyanobacterial genus. The aim of this study was to sequence the genome of the cyanobacteria Fischerella sp. strain CENA161 and perform the assembly and annotation of the genes involved in its secondary metabolism. For this, the strain was previously treated with 0,5 % sodium hypochlorite to remove the heterothrophic bacteria, followed with exhaustion from the short filaments in Petri plates, searching isolate the strain. The deoxirribonucleic acid was extracted from the CENA161 cells cultivated in Erlenmeyers with BG-110 liquid media. The genomic library was performed by MiSeq sequencing, and the ab initio assembly was performed with the reads obtained from the sequencing. The gene annotation and prediction were performed with the antiSMASH tool, for the secondary metabolites screening, and the nucleotides sequences alignment was performed using known genes present in other cyanobacteria producers and the CENA161 genome, using the BLASTN tool. The bioactive compounds produced by the strain were investigated with bioassays against bacteria and fungi, and also using high performance liquid chromatography with mass spectrometry. The results revealed the Fischerella sp. strain CENA161 presents the microcystins gene cluster in its genome, with the ten genes that were described in the first time (mcyA-mcyJ), and showed high identity in your sequences with the Fischerella sp. PCC 9339 sequences, although the synteny is very close to Nostoc sp. strain 152 microcystin gene cluster. We also found the ambiguine gene cluster (amb), that showed 25 genes out of 32 genes of total from the Fischerella sp. strain UTEX 1903, with high identity (98 %) among the nucleotide sequences. We found six genes out of eight that compose the nostopeptolide gene cluster (nos) described for Nostoc sp. strain GSV224, but presenting differentiated synteny for the CENA161. The chemical analyses by mass spectrometry showed the production of seven microcystin variants (MC-LR, MC-LL, MC-LA, MC-LM, MC-FR, MCLAba and [D-Asp3]Mc-LL), the last two ones being rarely described by literature. The bioassays showed bioactivity from the polar and nonpolar intracellular extracts against Staphylococcus aureus, Bacillus cereus, Salmonella typhimurium, Burkholderia cepacia, Xanthomonas campestris and Candida albicans. The collect of the peaks from the nonpolar extract in HPLC revealed bioactivity in three different acquisition times. The peaks collected from the polar extract did not show bioactivity, but the running in HPLC showed the peak corresponding to microcystin, produced by axenic CENA161 strain. Our results revealed the presence of some gene clusters involved in the bioactive molecules synthesis and the ability for the Fischerella sp. strain CENA161 to produce different bioactive compounds, synthesized by ribosomal and nonribosomal pathway, in non-axenic and axenic condictions.

Made available in DSpace on 2016-12-23T14:04:27Z (GMT). No. of bitstreams: 1 Georgette Cristina Salvador Lazaro.pdf: 2041914 bytes, checksum: a92cd3028e6d390006dee3ef94c44369 (MD5) Previous issue date: 2012-06-25 / A presente pesquisa teve como objetivo simular e avaliar os impactos de variáveis ambientais (ferro e UV-C) sobre o crescimento e produção de MCY de M. aeruginosa (NPLJ-4). Para tanto, tal cepa foi cultivada sob condições controladas. No ensaio do ferro, não houve diferença significativa de densidade, biovolume e clorofila-a entre as diferentes concentrações de ferro, enquanto que taxa de crescimento, tempo de duplicação e concentração de toxina apresentaram tal diferença. Foram observadas mais divisões celulares (G) a uma menor taxa nas culturas com maior teor de Fe, causando aumento de densidade e biomassa (vice-versa). As divisões reduziram-se a uma taxa maior até que o Fe ficasse escasso (10, 4, 1 e 0,5 μM, respectivamente). Culturas com 0,5 μM registraram: maior taxa, menor tempo de duplicação, menor densidade e biovolume. Quanto a toxina, células da fase log (6º ao 14º dia) e estacionária (16º ao 35º dia) influenciaram nos altos valores de MCY-LR total das culturas com Fe. Os teores aumentaram do 10º para o 20º dia e caíram no 30º dia nas culturas com 4 e 10 μM Fe. Ademais, o tratamento com 1 μM Fe obteve maior densidade, biovolume, picos de maior área e maiores concentrações de MCY-LR total em relação as culturas com 0,5, 4, e 10 μM Fe, respectivamente. Assim, o crescimento de MA nem sempre está atrelado aos maiores níveis de Fe e uma única célula pode ser responsável por produção de grande quantidade de toxina. Já no experimento de simulação de exposição à radiação UV-C, obteve-se remoção completa da MCY-LR total em meio ASM-1 com floração de M. aeruginosa, sendo que mais que 50% da toxina foi degradada nas 2 primeiras horas de exposição. Os valores de MCY-LR total, densidade, biovolume e clorofila-a declinaram à medida que o tempo de exposição à UV-C aumentava. Ademais, não ocorreu produção de microcistina LA e RR em nenhum dos experimentos / This research aimed to simulate and evaluate the impact of environmental variables (iron and UV-C) on M. aeruginosa (NPLJ-4) growth and MCY production. This strain was cultivated under controlled conditions. The iron assay did not show significant difference of cell density, biovolume and chlorophyll-a between different iron concentrations, while the growth rate, duplication time and toxin concentration showed that difference. More cell divisions (G) were observed with a lower rate at highest iron content cultures, inducing a cell density and biomass increase. The cell divisions were reduced to a lower rate until the iron become scarce (10, 4, 1 e 0.5 μM, respectively). 0.5 μM cultures registered higher growth rate and lower duplication time, cell density and biovolume. Log (6th to 14th day) and stationary (16th to 35th day) phase influenced the high total MCY-LR values of iron cultures. MCY-LR content increased from 10th to 20th day and reduced in 30th day in the 4 and 10 μM iron cultures. 1 μM iron treatment showed higher cell density, biovolume, biggest area peaks and total MCY-LR concentrations in comparison with 0.5, 4 and 10 μM cultures, respectively. Thus, M. aeruginosa growth is not always related to high iron levels and one cell, alone, can be responsible for the production of high toxin content. On the other hand, in the UV-C radiation exposure simulation experiment, complete total MCY-LR remotion was reached in ASM-1 medium with M. aeruginosa bloom, with more than 50% of the toxin degraded at the two initial hours of exposure. The total MCY-LR, cell density, biovolume and chlorophyll-a reduced as the UV-C exposure time increased. Finally, did not occurred MCY-LA and MCY-RR production in the experiments