Techn. Universiẗat, Diss., 2005--München.

Submitted by Reginaldo Soares de Freitas (reginaldo.freitas@ufv.br) on 2015-12-02T14:33:09Z No. of bitstreams: 1 texto completo.pdf: 869288 bytes, checksum: 1ec9e1ebef3bae322c6fce4583cbe976 (MD5) / Made available in DSpace on 2015-12-02T14:33:09Z (GMT). No. of bitstreams: 1 texto completo.pdf: 869288 bytes, checksum: 1ec9e1ebef3bae322c6fce4583cbe976 (MD5) Previous issue date: 2014-03-27 / Conselho Nacional de Desenvolvimento Científico e Tecnológico / Redes neurais artificiais (RNA) são modelos computacionais inspirados no sistema nervoso de seres vivos, capazes de aprender a partir de exemplos e empregá-lo na solução de problemas tais como predição não linear, reconhecimento de padrões e diversas outras aplicações. Neste trabalho utilizamos uma RNA para predizer o valor da área abaixo da curva de progresso da doença (AACPD) para o patossistema tomate x requeima. A AACPD é uma medida de ampla utilização na epidemiologia de doenças policíclicas, especialmente em estudos que inferem a respeito da resistência quantitativa dos genótipos. Contudo, para a obtenção do valor final desta área são necessárias, neste patossistema, uma série de seis avaliações ao longo do tempo. O objetivo deste trabalho é propor a utilização das RNAs para a obtenção da AACPD no patossistema tomate x requeima, utilizando um número reduzido de avaliações de severidade. Para tanto, foram considerados quatro experimentos independentes, totalizando 1836 plantas infectadas com o patógeno Phytophthora infestans e avaliadas a cada três dias em um total de seis oportunidades, sendo procedido o cálculo da AACPD por método convencional. A RNA criada permitiu predizer AACPD com correlação de 0,97 e 0,84 quando comparado com os métodos convencionais, utilizando-se de um número 50% e 67% menor de avaliações por genótipo respectivamente. Ao se utilizar a RNA gerada por um experimento para predizer a AACPD para os demais experimentos ocorreu correlação média de 0,94, com duas avaliações, e 0,96, com três avaliações, entre os valores preditos pela RNA e os observados com seis avaliações. Apresentamos neste trabalho um novo paradigma para a utilização da informação da AACPD em experimentos de tomateiro confrontado com P. infestans. Este novo paradigma proposto pode ser adaptado para diferentes patossistemas. / Artificial neural networks (ANN) are computational models, inspired in the nervous system of living organisms, that is able to learn from examples and uses it to solve problems such as non-linear prediction, pattern recognition, and many other applications. In this work we use an ANN to predict the value of the area under the disease progress curve (AUDPC) for pathosystem tomato x late blight. The AUDPC is a widely used measure in the epidemiology of polycyclic diseases, especially in studies about quantitative resistance of genotypes. However, to obtain the final value of this area is required, in this pathossystem, a series of six evaluations along time. The objective of this paper is to propose a new use of ANN, based on the principles of learning, for to obtain the AUDPC in pathosystem tomato x late blight, using a reduced number of disease severity evaluations. We considered four independent experiments, a total of 1836 infected plants with the pathogen Phytophthora infestans and assessed every three days for six times, and proceeded to calculate the AUDPC by conventional methods. The ANN created possible to predict the AUDPC with a correlation coefficient of 0.97 and 0.84 compared with conventional methods, using a number 50% and 67% less ratings for genotypes respectively. Using ANN generated by an experiment to predict the AUDPC for the other experiments there was an average correlation of 0.94, with two ratings, and 0.96, with three evaluations, between the value predicted from ANN and value observed with six evaluations. We present in this work a new paradigm for obtaining AUDPC in tomato experiments inoculated with P. infestans. This proposed new paradigm can be adapted to different pathosystems.

This PhD examined the epidemiology of two potentially devastating plant pathogens, Phytophthora ramorum and P. kernoviae, at Benmore Botanic Garden in Argyll & Bute and Brodick Castle Garden in Arran. Spore traps, river baiting, bait plants and soil sampling were used to both confirm the presence of, and measure the amount of inoculum in the environment in order to quantify the relationship between inoculum levels and disease development. P. ramorum was detected in spore traps at high levels under a sporulating host throughout the year at Benmore. Also, findings at sites where infected hosts had been removed before the study led to the conclusion that the low level spore traps detect inoculum from soil splash. Rhododendron and Vaccinium bait plants were also infected with P. ramorum via soil splash at sites within Benmore where there was no sporulating host present. P. kernoviae was detected in spore traps at Brodick throughout the year but only where there was a sporulating host overhead. P. kernoviae infected bait plants only where an infected host is overhead. Water baiting confirmed the presence of P. ramorum in two streams at Benmore but P. kernoviae was not detected using this method despite the large-scale P. kernoviae infection at Brodick. Inoculum continued to be detected in soil in areas of both gardens where infected hosts had been removed two years previously, confirming that both of these pathogens can survive in soil for a considerable period. A number of statistical models were produced to describe conditions required for P. ramorum sporulation and infection. Sporulation occurred during warmer and wetter conditions and infection of bait plants occurred in wet conditions and where an infected host is in close proximity. A statistical model was also used to produce a P. ramorum risk map, uniquely at the garden scale, to enable garden managers at Benmore to visualise the areas most at risk within their garden. The findings of this study have clear management implications for the control of disease establishment and spread within the garden setting.

M.Sc. / Chemically-induced plant defense responses were investigated in tobacco cell cultures. The inducing conditions were as follows: chitosan (C), an elicitor (E) prepared from Phytophthora nicotianae, isonicotinic acid (INA), isonicotinamide (IND) and isonitrosoacetophenone (INAP) as well as the addition of INA, IND and INAP as conditioning agents (primary elicitors) followed by secondary elicitation with either chitosan or elicitor. The defense responses investigated included determinations of phenylalanine ammonia-lyase (PAL) activity, total soluble phenolic content, specific phenolic profiles, phytoalexin content, (3- 1,3-glucanase activity and electrophoretic analyses of pathogenesis-related proteins (PR). The compounds, 4-(3-methyl-2-butenoXy)isonitrosoacetophenone (0-INAP) and 2-isonitrosoacetophenone (INAP) were successfully synthesized from the starting materials p-hydroxyacetophenone and acetophenone respectively. The organic synthesis of 0-INAP involved the formation of a prenyl ether.of p-hydroxyacetophenone, followed by a nitrosation reaction using butyl nitrite as the source of the nitroso group, on the a-carbon atom adjacent to the carbonyl group. The synthesis of INAP only required a nitrosation reaction on the a-carbon atom adjacent to the carbonyl group. The yields of 0-INAP and INAP were 12 - 15 % and 80 %, respectively. An evaluation of the properties of 0-INAP indicated that the compound, dissolved in methanol, has a molar extinction coefficient of 16 5001.mor.cm - ' at A. 302 nm. The compound possesses antifungal activity against Cladosporium cucumerinum, Penicillium expansum and Aspergillus niger as well as the ability to scavenge superoxide radicals which was indicated by a decrease in the chemiluminescence signal produced in a reaction mbdure of hydrogen peroxide, horseradish peroxidase, the chemiluminescence probe, MCLA, and increasing concentrations of 0-INAP. The addition of INA to tobacco cells at a - final concentration of 12.5 iimol.g -1 cells or 2.5 mM did not lead to significant changes in PAL activity, but conditioning with INA, followed by chitosan as well as elicitor led to a 2.5-fold and a 4.3-fold induction respectively. INA as well as INA + C and INA + E led to significant increases in the total soluble phenolic content, and the HPLC analyses of these phenolics indicated the significant induction of a phenolic-like compound with a peak at Rt = 1.7 min. which possibly indicates isonicotinic acid, for INA + C and INA + E. A whole range of phytoalexins were detectable after the addition of INA to tobacco cells and conditioning with INA followed by chitosan induced the phytoalexin, lubimin, several hundred-fold. PR proteins were also induced by INA and a prominent band of 11- 13 kDa was induced after conditioning with INA, followed by secondary elicitation with the elicitor and especially with chitosan. (3-1,3-glucanase activity was also induced by INA; INA + E and particularly INA + C led to increases of 2.5-fold and 4.5-fold in 13-1,3-glucanase activity respectively. The addition of IND to tobacco cells at a final concentration of 12.5 pmol.g -1 cells or 2.5 mM led to a 2.6-fold induction in PAL activity after only 6 h, but conditioning with IND, followed by secondary elicitation did not lead to any significant changes. IND at the earlier time interval (24 h vs. 48 h) as well as IND + C and IND + E led to increases in the total soluble phenolic content, - and the HPLC analyses of these phenolics indicated the significant induction of a phenolic-like compound with ,a peak at Rt = 1.7 min. which possibly indicates isonicotinic acid, for IND + C and IND + E. A whole range of phytoalexins were detectable after the addition of IND to tobacco cells and conditioning with IND followed by chitosan induced the phytoalexin, solavetinone, several hundred-fold. PR proteins were also induced by IND and prominent bands of 34 kDa and 39 - 40 kDa were induced for IND + ELIC. (3-1,3-glucanase activity .was also induced by IND; however, secondary elicitation with chitosan did not lead to increases in enzyme activity, although a twofold increase was detectable for IND + ELIC, compared to IND 72. The addition of INAP to tobacco cells at a final concentration of 6.3 pmol.e cells or 1.25 mM led to a 1.7-fold induction in PAL activity after only 6 h, a response that was still detectable after 30 h; however, conditioning with INAP, followed by secondary elicitation did not lead to any noteworthy changes. INAP 24 as well as INAP 48 did not lead to significant changesin the total soluble phenolic content, but INAP + C and INAP+ E led to increases of 3.3-fold and 3.5-fold, respectively. HPLC analyses of the induced phenolics showed the significant induCtion of a phenolic compound with a peak at Rt = 14.5 min. which possibly indicate p-coumaric acid, for INAP + C and INAP + E. A whole range.of phytoalexins were detectable after the addition of INAP to tobacco cells, but the addition of a secondary elicitor led to a decrease in phytoalexin accumulation. PR proteins were also induced by INAP and conditioning with INAP, followed by especially the elicitor, led to the induction of a whole range of PR proteins with molecular masses ranging from 11 - 68 kDa. (3-1,3-glucanase activity was significantly induced (60-fold compared to control) by INAP 48; however, secondary elicitation led to a decrease in (3-1,3-glucanase)

The black shank (Phytophthora parasitica var. nicotianae) fungus is a very destructive tobacco disease which is responsible for great losses to farmers worldwide. This disease is also a problem in South Africa, as the most popular South African air-cured tobacco cultivar, CDL28, is very susceptible to black shank. This diallel study focussed on finding the most suitable black shank resistance source to include in a resistance breeding programme with CDL28. Four cultivars were crossed in all possible combinations and planted as an F1 field and greenhouse trial. The F1's were selfed to obtain a segregating F2 population, planted in a greenhouse, to be compared with the mean values of the F1 trials. The field trial was exposed to natural infection while the greenhouse trials were root inoculated. The general combining ability effects of the four parent cultivars differed significantly from each other. The specific combining ability effects of the F1 trials were non significant. These experimental results suggest that additive genetic effects were involved in black shank resistance. The Beinhart 1000-1 source of resistance was significantly better than the Florida 301 source. Burley 37, which possesses the Florida 301 as well as another source of resistance performed better than Domkrag with only the Florida 301 source of resistance. In order to incorporate black shank resistance in CDL28, Beinhart 1000-1 and Burley 37 can be used in a backcross breeding programme with CDL28 which can solve the problems encountered in the cultivation of CDL28 in the presence of black shank. / Dissertation (MSc (Genetics))--University of Pretoria, 2006. / Genetics / unrestricted

No description available.

Choisya ternata est une plante ornementale souvent touchée par la maladie de la pourriture racinaire provoquée par Phytophthora. Cette maladie peut induire de pertes allant jusqu’à 80 %, ce qui implique l’utilisation intensive de produits phytosanitaires. Afin de limiter l’utilisation de ces produits toxiques, une meilleure connaissance des acteurs de la défense des plantes est nécessaire. Pour cela, les objectifs de cette thèse sont I) d’identifier les espèces du genre Phytophthora pathogènes de C. ternata, II) d’étudier des acteurs de défense au niveau racinaire et III) de développer une approche de lutte alternative aux phytosanitaires. L’identification des espèces de Phytophthora par l’amplification et le séquençage de la région ITS, montre la présence de Phytophthora parasitica dans la production de C. ternata en pépinière. Ils mettent aussi en évidence, pour la première fois en France et chez Choisya, la présence de Phytophthora tropicalis. Deux cultivars de C. ternata sont utilisés pour étudier les acteurs de la défense racinaire contre P. parasitica, Aztec pearl (moins sensible à la pourriture racinaire) et Goldfinger (plus sensible). Les arabinogalactane-protéines (AGPs) sont des glycomolécules de la paroi cellulaire qui constitue une barrière physique face aux pathogènes. Des études ont montré le rôle des AGPs dans l’interaction plante-pathogène et plus particulièrement avec les oomycètes. Toutefois, le rôle des AGPs racinaires de Choisya dans l’interaction avec P. parasitica n’est pas étudié. Nos résultats montrent des différences biochimiques au niveau de la composition monosaccharidique des AGPs racinaires d’Aztec pearl en comparaison avec les AGPs de feuilles de ce cultivar et les AGPs de feuilles et de racines de Goldfinger. Contrairement aux autres fractions, ces AGPs n’ont pas augmenté la croissance du mycélium de P. parasitica. Ces résultats suggèrent que l’oomycète n’est pas capable de dégrader cette fraction pour l’utiliser comme une source d’énergie. Pendant l’infection de la plante par P. parasitica, ces AGPs peuvent freiner la pénétration du pathogène, et par conséquent diminuer la sévérité de la maladie. Les plantes ont aussi développé des molécules chimiques nommées métabolites secondaires (MS) capables de les protéger contre leurs agresseurs. Des études ont montré que la partie foliaire de Choisya est riche en MS tels que les alcaloïdes dont plusieurseffets pharmacologiques sont connus. Cependant, leur composition racinaire et leur rôle dans la protection de la plante contre P. parasitica ne sont pas élucidés. Nos résultats montrent que les racines des deux cultivars sont riches en alcaloïdes furoquinoliques. Certains alcaloïdes sont présents en plus grande quantité chez Aztec pearl, mais suite à l’inoculation de zoospores de P. parasitica cette différence n’est plus détectable. De plus, l’extrait contenant les alcaloïdes totaux d’Aztec pearl ont été capables d’inhiber la croissance du mycélium de l’oomycète, contrairement à l’extrait issu de Goldfinger. Ces résultats montrent le rôle potentiel des alcaloïdes furoquinoliques dans la protection de la plante contre cet oomycète. / Choisya ternata is an ornamental plant that suffers from root rot disease due to Phytophthora. This disease can lead to severe production losses (up to 80 %), which require intensive use of phytosanitary products. A better understanding of plants defenses in required in order to reduce the use of these products. Therefore, the objectives of this thesis are I) identifying Phytophthora spp. pathogens of C. ternata, II) studying roots defense actors and III) developing an alternative control approach. Phytophthora spp. identification by ITS region amplification and sequencing highlighted the presence of Phytophthora parasitica on Choisya. Furthermore, Phytophthora tropicalis was identified for the first time in France and on Choisya culture. Two C. ternata cultivars were used to study the plants root defense actors against P. parasitica, Aztec pearl (less susceptible to root rot) and Goldfinger (more susceptible to root rot). Arabinogalactan proteins (AGPs) are glycomolecules of the cell wall which constitutes a physical barrier to pathogens. Studies showed the role of AGPs in the plant-pathogen interaction and more specifically in the case of oomycetes. However, Choisya root AGPs role in the interaction with P. parasitica is not studied. Our results showed biochemical differences in the monosaccharide composition of Aztec pearl root AGPs and the other AGPs fractions (Aztec pearl leaves and Goldfinger roots and leaves). Contrary to other fractions Aztec pearl root AGPs did not increase P. parasitica mycelium growth. These results suggest that oomycete was not able to degrade this fraction and use it as energy source. When P. parasitica infects the plant, these AGPs may be able to slow the infection and reduce disease severity. Plants have also developed chemical molecules known as secondary metabolites (SM) capable of protecting them against attackers. Studies showed that C. ternata leaves are rich with SM as alkaloids that have many pharmacological activities. Nevertheless, roots alkaloids composition and role in plant protection are not studied. Our results showed that roots of the two cultivars are riche with furoquinoline alkaloids. Some these alkaloids were more concentrated in Aztec pearl. But after inoculation with P. parasitica zoospores, the difference was not detectable anymore. Moreover, the total alkaloids extract of Aztec pearl inhibited P. parasitica mycelium growth, unlike the extract of Goldfinger. Another strategy of plants protection is the use of beneficial soil microorganisms that limits pathogens development and stimulate plant defenses. These microorganisms are known as biological control agents (BCA) and are sometimes used in horticulture as an alternative control strategy. In our study, treatments of C. ternata by different BCA were evaluated by a developed real time PCR (qPCR) targeting ypt1 and by symptoms annotation. This evaluation showed that combined treatments by Glomus intraradices with Gliocladium catenulatum and G. intraradices with Trichoderma atroviridae (respectively mycorrhizal fungi and filamentous fungi) offer a better protection against P. parasitica.

In recent years the increase of global plant trade and human movement has promoted the risk of introduction of invasive plants and exotic pathogens. Biological invasions operate globally and are considered to be the second cause of biodiversity loss after direct habitat alteration and destruction. In this context, Phytophthora is one of the most important and aggressive plant pathogen in agriculture and forestry. Early detection and identification of its pathways are of high importance to minimize the threat that they pose to natural ecosystems. Different molecular-based methods, including real-time PCR and Next Generation Sequencing, have been developed and applied for the detection of plant pathogens in environmental samples. These methods allow fast and accurate pathogen detection and identification even when the inoculum amount is low. Therefore, the main objective of this thesis was the development of a new method for Phytophthora detection in environmental samples starting from extraction of environmental DNA (eDNA) from different sources (soil, roots and water) and different ecosystems. Different studies have applied High Throughput Sequencing (HTS) for the detection of Phytophthora species in soil samples, but not, to date, for water. In the Chapter 3, genus-specific primers were adapted to assess Phytophthora species diversity in natural ecosystems using high-throughput amplicon pyrosequencing of eDNA from soil and water environments, based in the polymorphic and widely accepted barcoding target Internal Transcribed Spacer 1 (ITS1). The assay was validated with a control reaction with DNA of pure cultures. The objectives raised and developed of this study were: a) as main objective, development and application of HTS (High Throughput Sequencing) of Phytophthora-specific PCR amplicons to investigate the presence of Phytophthora in soil samples from different plant communities in natural forests, plantations and aquatic environments in the north of Spain; b) optimization of the conditions for emPCR amplification in order to obtain the best results in the pyrosequencing run; c) development of a bioinformatics pipeline for NGS data, focusing in the optimization of a barcoding threshold value to separate Molecular Operational Taxonomic Units (MOTUs). Different score coverage threshold values were tested for optimal Phytophthora species separation in the bioinformatics analyses. Clustering at 99 % was the best criteria to separate most of the Phytophthora species. Multiple Molecular Operational Taxonomic Units (MOTUs) corresponding to 36 distinct Phytophthora species were amplified in the environmental samples. Pyrosequencing of amplicons from soil samples revealed low Phytophthora diversity (13 species) in comparison with the 35 species detected in water samples. Thirteen of the MOTUs detected in rivers and streams did not show significant matches to sequences in international sequence databases, revealing that eDNA pyrosequencing is a useful strategy to assess Phytophthora species diversity in natural ecosystems. Once the technique was developed and validated, another objective was proposed in Chapter 2, focused on the oak decline. The evergreen holm oak (Quercus ilex) is the most representative tree species in the Iberian Peninsula and the main tree in oak-rangeland ecosystems (dehesas). Oak decline in non-calcareous soils in south-western Spain has been associated with Phytophthora cinnamomi for decades. However, other Phytophthora species such as P. quercina and P. psychrophila have been associated with Quercus decline in the eastern part of Spain where calcareous soils are predominant. With the aim of investigating the involvement of Phytophthora spp. in oak decline in eastern Spain, two forests in different geographical areas (Alcoi and Vallivana) were selected as sampling sites. Soil and root samples were analysed in parallel by amplicon pyrosequencing and real-time PCR. Metabarcoding analyses showed Phytophthora / En los últimos años, el aumento del comercio mundial de plantas y el movimiento humano ha promovido el riesgo de introducción de plantas invasoras y patógenos exóticos. Las invasiones biológicas operan a nivel mundial y se consideran como la segunda causa de pérdida de biodiversidad después de la alteración y destrucción directas del hábitat. En este contexto, Phytophthora es uno de los patógenos vegetales más importantes y agresivos en la agricultura y la silvicultura. La detección temprana y la identificación de sus vías son de gran importancia para minimizar la amenaza que representan para los ecosistemas naturales. Se han desarrollado y aplicado diferentes métodos moleculares para la detección de patógenos de plantas en muestras ambientales. Estos métodos permiten una detección e identificación de patógenos rápida y precisa incluso cuando la cantidad de inóculo es baja. Por lo tanto, se propone un nuevo método mejorado para su detección en muestras ambientales a partir de la extracción de ADN ambiental (eDNA) de diferentes fuentes (suelo, raíces y agua) y diferentes ecosistemas. El objetivo del primer capítulo fue aplicar HTS (High Throughput Sequencing) para investigar la presencia de Phytophthora en diferentes comunidades de plantas en bosques naturales, plantaciones y ambientes acuáticos en el norte de España. El eDNA se extrajo del suelo y del agua de los ríos y arroyos de los bosques de Fagus sylvatica y Abies alba y de plantaciones de Chamaecyparis lawsoniana y Pseudotsuga menziesii en el norte de España (bosque de Irati y Villanúa). Se diseñó y aplicó un ensayo específico para la detección de Phytophthora mediante la secuenciación masiva de amplicones basado en la región ITS1. Diferentes valores de threshold se analizaron para la separación óptima de especies de Phytophthora en los análisis bioinformáticos. El agrupamiento al 99% fue el mejor criterio para separar la mayor parte de las especies de Phytophthora. Múltiples Unidades Operacionales Taxonómicas Moleculares (MOTU) correspondientes a 36 especies distintas de Phytophthora se amplificaron en las muestras ambientales. La pirosequenciación de amplicones de muestras de suelo reveló una diversidad baja de Phytophthora (13 especies) en comparación con las 35 especies detectadas en muestras de agua. Trece de los MOTU detectados en los ríos y arroyos no mostraron homología con secuencias depositadas en las bases de datos, lo que revela que la pirosequenciación del ADN ambiental es una estrategia útil para evaluar la diversidad de especies Phytophthora en los ecosistemas naturales. Una vez que la técnica fue desarrollada y validada, se propuso otro objetivo enfocado en el decaimiento de la carrasca. La carrasca (Quercus ilex) es la especie arbórea más representativa de la Península Ibérica y el árbol principal de las dehesas. El decaimiento de la carrasca en suelos no calcáreos en el suroeste de España se ha asociado con Phytophthora cinnamomi durante décadas. Sin embargo, otras especies de Phytophthora como P. quercina y P. psychrophila se han asociado con el declive de Quercus en la parte oriental de España donde predominan los suelos calcáreos. Con el objetivo de investigar la implicación de Phytophthora spp. en el declive de la carrasca en el este de España, se seleccionaron dos bosques en diferentes zonas geográficas (Alcoi y Vallivana) como lugares de muestreo. Las muestras de suelo y raíz se analizaron por pirosequenciación de amplicones. Los resultados de la secuenciación masiva mostraron la diversidad de especies de Phytophthora, y reveló que un taxón nunca aislado de Phytophthora, llamado provisional Phytophthora taxon ballota, fue la especie predominante en ambas áreas. Además, se desarrolló un ensayo de PCR a tiempo real, basado en los resultados de la pirosequenciación, para la detección de este taxón de Phytophthora nunca aislado, y también para la detección de P. quercina / En els últims anys, l'augment del comerç mundial de plantes i el moviment humà ha promogut el risc d'introducció de plantes invasores i patògens exòtics. Les invasions biològiques operen a nivell mundial i es consideren de com la segona causa de pèrdua de biodiversitat després de l'alteració i destrucció directa de l'hàbitat. En aquest context, Phytophthora és un dels mes importants patògens vegetals i agressius en l'agricultura i la silvicultura. La detecció primerenca i la identificació de les seves vies resulten de gran importància per a minimitzar l'amenaça que representen per als ecosistemes naturals. S'han desenvolupat i aplicat diferents mètodes moleculars per a la detecció de patògens de plantes en mostres ambientals. Aquests mètodes permeten una detecció i identificació de patògens ràpida i precisa fins i tot quan la quantitat d'inòcul és baixa. Per tant, es proposa un nou mètode millorat per a la seva detecció en mostres ambientals a partir de l'extracció d'ADN ambiental (eDNA) de diferents fonts (sòl, arrels i aigua) i diferents ecosistemes. L'objectiu del primer capítol va ser aplicar HTS (High Throughput Sequencing) per investigar la presència de Phytophthora en diferents comunitats de plantes en boscos naturals, plantacions i ambients aquàtics al nord d'Espanya. L'eDNA es va extraure del sòl i de l'aigua dels rius i rierols dels boscos de Fagus sylvatica i Abies alba i de plantacions de Chamaecyparis lawsoniana i Pseudotsuga menziesii al nord d'Espanya (bosc d'Irati i Villanúa). Es va dissenyar i va aplicar un assaig específic per a la detecció de Phytophthora mitjançant la seqüenciació massiva de amplicons basat en la regió ITS1. Diferents valors de threshold es van analitzar per a la separació òptima d'espècies de Phytophthora en les anàlisis bioinformàtics. L'agrupament al 99% va ser el millor criteri per separar la major part de les espècies de Phytophthora. Múltiples Unitats Operacionals Taxonòmiques Moleculars (MOTU) corresponents a 36 espècies diferents de Phytophthora es van amplificar en les mostres ambientals. La piroseqüenciació d'amplicons de mostres de sòl va revelar una diversitat baixa de Phytophthora (13 espècies) en comparació amb les 35 espècies detectades en mostres d'aigua. Tretze dels MOTU detectats en els rius i rierols no van mostrar homologia amb seqüències dipositades en les bases de dades, el que revela que la pirosequenciació de l'ADN ambiental és una estratègia útil per avaluar la diversitat d'espècies de Phytophthora en els ecosistemes naturals. Una vegada que la tècnica va ser desenvolupada i validada, es va proposar un altre objectiu enfocat en el decaïment de la carrasca. La carrasca (Quercus ilex) és l'espècie arbòria més representativa de la Península Ibèrica i l'arbre principal de les deveses. El decaïment de la carrasca en sòls no calcaris al sud-oest d'Espanya s'ha associat amb Phytophthora cinnamomi durant dècades. No obstant això, altres espècies de Phytophthora com P. quercina i P. psychrophila s'han associat amb el declivi de Quercus a la part oriental d'Espanya on predominen els sòls calcaris. Amb l'objectiu d'investigar la implicació de Phytophthora spp. en el declivi de la carrasca a l'est d'Espanya, es van seleccionar dos boscos en diferents zones geogràfiques (Alcoi i Vallivana) com a llocs de mostreig. Les mostres de sòl i arrel es van analitzar per piroseqüenciació d'amplicons. Els resultats de la seqüenciació massiva van mostrar la diversitat d'espècies de Phytophthora, i va revelar que un taxó mai aïllat de Phytophthora, anomenat de forma provisional Phytophthora taxon ballota, va ser l'espècie predominant en les dues àrees. A més, es va desenvolupar un assaig de PCR a temps real, basat en els resultats de la piroseqüenciació, per a la detecció d'aquest taxó de Phytophthora mai aïllat, i també per a la detecció de P. quercina. Els assajos de qPCR es van aplicar en mo / Catalá García, S. (2017). Development of DNA massive sequencing techniques and Real-Time PCR for the detection, identification and quantitation of Phytophthora spp. in environmental samples [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/90644 / TESIS

Genus Phytophthora represents a world-wide spread pathogen with more than hundred recognized species and its devastating effect on plants has a serious economic and ecological impact. This diploma thesis entitled „Proteome and metabolome of genus Phytophthora” briefly summarizes knowledge about this pathogen, including its life cycle and interactions with its host. Twelve species representing six Phytophthora clades that were selected for experimental work are then discussed in details. Phytophthora isolates were characterized on proteome and metabolome level employing an LC-MS untargeted proteome profiling and a GC-MS analysis of volatiles. The results were then processed to identify candidate molecules for a targeted identification of Phytophthora and these results were validated in an independent experiment with P. palmivora and Hordeum vulgare. We found that a proteome profiling can be employed as a tool to differentiate individual Phytophthora species and that the marker peptides can be employed for a targeted monitoring of Phytophthora presence in plants.

The potential of increasing disease problems through the use of recycled irrigation water in horticultural operations is a serious concern, yet basic research on waterborne plant pathogens in Virginia is lacking. In this work seasonal fluctuations and locations of Pythiaceae in a recycled water irrigation system at a container nursery were determined. <i>Pythium</i> spp. were recovered more frequently and in greater numbers than <i>Phytophthora</i> spp. Species of <i>Phytophthora</i> recovered in filtering assays were identified as <i>P. capsici, P. citricola, P. citrophthora, P. cryptogea, P. drechsleri,</i> and <i>P. nicotianae. P. cryptogea</i> and <i>P. drechsleri</i> were the only <i>Phytophthora</i> spp. recovered from baits placed on the surface of the irrigation reservoir, whereas a greater diversity of species was recovered from baits placed at depths. Hymexazol-amended medium was found to have limitations in recovery of <i>Phytophthora</i> spp. In pathogenicity tests, <i>P. cactorum, P. capsici, P. citrophthora,</i> and <i>P. nicotianae</i> caused significant mortality of <i>Salvia officinalis</i> and <i>P. cactorum</i> showed limited pathogenicity on <i>Gerbera jamesonii</i>. Asymptomatic (aboveground) plants were found to harbor inoculum long after <i>Phytophthora</i>-inoculation. Fresh weight analyses of roots and shoots of asymptomatic plants demonstrated that <i>Phytophthora</i> inoculation may either reduce or stimulate plant shoot growth, but little effect is apparent on roots. Irrigation with naturally infested irrigation water reduced plant growth. This research provides data for prioritizing development of detection technology and management practices for plant pathogens in irrigation water. The results may also lead to improvements in conventional water assay protocols for plant pathogens. / Master of Science