79 research outputs found
RP1 Dominant p.Ser740* Pathogenic Variant in 20 Knowingly Unrelated Families Affected by Rod–Cone Dystrophy: Potential Founder Effect in Western Sicily
: Background and Objectives. Retinitis pigmentosa (RP) is the most common inherited rod-cone dystrophy (RCD), resulting in nyctalopia, progressive visual field, and visual acuity decay in the late stages. The autosomal dominant form (ADRP) accounts for about 20% of RPs. Among the over 30 genes found to date related to ADRP, RP1 pathogenic variants have been identified in 5-10% of cases. In a cohort of RCD patients from the Palermo province on the island of Sicily, we identified a prevalent nonsense variant in RP1, which was associated with ADRP. The objective of our study was to analyse the clinical and molecular data of this patient cohort and to evaluate the potential presence of a founder effect. Materials and Methods. From 2005 to January 2023, 84 probands originating from Western Sicily (Italy) with a diagnosis of RCD or RP and their relatives underwent deep phenotyping, which was performed in various Italian clinical institutions. Molecular characterisation of patients and familial segregation of pathogenic variants were carried out in different laboratories using Sanger and/or next-generation sequencing (NGS). Results. Among 84 probands with RCD/RP, we found 28 heterozygotes for the RP1 variant c.2219C>G, p.Ser740* ((NM_006269.2)*, which was therefore significantly prevalent in this patient cohort. After a careful interview process, we ascertained that some of these patients shared the same pedigree. Therefore, we were ultimately able to define 20 independent family groups with no traceable consanguinity. Lastly, analysis of clinical data showed, in our patients, that the p.Ser740* nonsense variant was often associated with a late-onset and relatively mild phenotype. Conclusions. The high prevalence of the p.Ser740* variant in ADRP patients from Western Sicily suggests the presence of a founder effect, which has useful implications for the molecular diagnosis of RCD in patients coming from this Italian region. This variant can be primarily searched for in RP-affected subjects displaying compatible modes of transmission and phenotypes, with an advantage in terms of the required costs and time for analysis. Moreover, given its high prevalence, the RP1 p.Ser740* variant could represent a potential candidate for the development of therapeutic strategies based on gene editing or translational read-through therapy for suppression of nonsense variants
MUC4 activates HER2 signalling and enhances the motility of human ovarian cancer cells
The mucin MUC4 is a high molecular weight transmembrane glycoprotein. It consists of a mucin-type subunit (MUC4α) and a transmembrane growth factor-like subunit (MUC4β). The mucin MUC4 is overexpressed in many epithelial malignancies including ovarian cancer, suggesting a possible role in the pathogenesis of these cancers. In this study, we investigated the functional role of MUC4 in the human ovarian cancer cell line SKOV3. The mucin MUC4 was ectopically expressed by stable transfection, and its expression was examined by western blot and confocal microscopy analyses. The in vitro studies demonstrated an enhanced motility of MUC4-expressing SKOV3 cells compared with the vector-transfected cells. The mucin MUC4 expression was associated with apparent changes in actin organisation, leading to the formation of microspike, lammelopodia and filopodia-like cellular projections. An enhanced protein expression and activation of HER2, a receptor tyrosine kinase, was also seen, although no significant change was observed in HER-2 transcript levels in the MUC4-transfected SKOV3 cells. Reciprocal co-immunoprecipitation revealed an interaction of MUC4 with HER2. Further, the MUC4-overexpressing SKOV3 cells exhibited an increase in the phosphorylation of focal adhesion kinase (FAK), Akt and ERK, downstream effectors of HER2. Taken together, our findings demonstrate that MUC4 plays a role in ovarian cancer cell motility, in part, by altering actin arrangement and potentiating HER2 downstream signalling in these cells
Time-series clustering of gene expression in irradiated and bystander fibroblasts: an application of FBPA clustering
<p>Abstract</p> <p>Background</p> <p>The radiation bystander effect is an important component of the overall biological response of tissues and organisms to ionizing radiation, but the signaling mechanisms between irradiated and non-irradiated bystander cells are not fully understood. In this study, we measured a time-series of gene expression after α-particle irradiation and applied the Feature Based Partitioning around medoids Algorithm (FBPA), a new clustering method suitable for sparse time series, to identify signaling modules that act in concert in the response to direct irradiation and bystander signaling. We compared our results with those of an alternate clustering method, Short Time series Expression Miner (STEM).</p> <p>Results</p> <p>While computational evaluations of both clustering results were similar, FBPA provided more biological insight. After irradiation, gene clusters were enriched for signal transduction, cell cycle/cell death and inflammation/immunity processes; but only FBPA separated clusters by function. In bystanders, gene clusters were enriched for cell communication/motility, signal transduction and inflammation processes; but biological functions did not separate as clearly with either clustering method as they did in irradiated samples. Network analysis confirmed p53 and NF-κB transcription factor-regulated gene clusters in irradiated and bystander cells and suggested novel regulators, such as KDM5B/JARID1B (lysine (K)-specific demethylase 5B) and HDACs (histone deacetylases), which could epigenetically coordinate gene expression after irradiation.</p> <p>Conclusions</p> <p>In this study, we have shown that a new time series clustering method, FBPA, can provide new leads to the mechanisms regulating the dynamic cellular response to radiation. The findings implicate epigenetic control of gene expression in addition to transcription factor networks.</p
Response of Quercus ilex seedlings to Phytophthora spp. root infection in a soil infestation test
[EN] Phytophthora species are the main agents associated with oak (Quercus spp.) decline, together with the changing environmental conditions and the intensive land use. The aim of this study was to evaluate the susceptibility of Quercus ilex to the inoculation with eight Phytophthora species. Seven to eight month old Q. ilex seedlings grown from acorns,
obtained from two Spanish origins, were inoculated with P. cinnamomi, P. cryptogea, P. gonapodyides, P. megasperma, P. nicotianae, P. plurivora, P. psychrophila and P. quercina. All Phytophthora inoculated seedlings showed decline and symptoms including small dark necrotic root lesions, root cankers, and loss of fine roots and tap root. The most aggressive species were P. cinnamomi, P. cryptogea, P. gonapodyides, P. plurivora and P. psychrophila followed by P. megasperma., while Phytophthora quercina and P. nicotianae were the less aggressive species. Results obtained confirm that these Phytophthora species could constituted a threat to Q. ilex ecosystems and the implications are further discussed.The authors are grateful to A. Solla and his team from the Centro Universitario de Plasencia-Universidad de Extremadura (Spain) for helping in the acorns collection and to the CIEF (Centro para la Investigación y Experimentación Forestal, Generalitat Valenciana, Valencia, Spain) for providing the acorns. This research was supported by funding from the project AGL2011- 30438-C02-01 (Ministerio de Economía y Competitividad, Spain).Mora-Sala, B.; Abad Campos, P.; Berbegal Martinez, M. (2018). Response of Quercus ilex seedlings to Phytophthora spp. root infection in a soil infestation test. European Journal of Plant Pathology. https://doi.org/10.1007/s10658-018-01650-6SÁlvarez, L. A., Pérez-Sierra, A., Armengol, J., & García-Jiménez, J. (2007). Characterization of Phytophthora nicotianae isolates causing collar and root rot of lavender and rosemary in Spain. Journal of Plant Pathology, 89, 261–264.Balci, Y., & Halmschlager, E. (2003a). Incidence of Phytophthora species in oak forests in Austria and their possible involvement in oak decline. Forest Pathology, 33, 157–174.Balci, Y., & Halmschlager, E. (2003b). Phytophthora species in oak ecosystems in Turkey and their association with declining oak trees. Plant Pathology, 52, 694–702.Brasier, C. M. (1992a). Oak tree mortality in Iberia. Nature, 360, 539.Brasier, C. M. ((1992b)). Phytophthora cinnamomi as a contributory factor on European oak declines. In N. by Luisi, P. Lerario, & A. B. Vannini (Eds.), Recent Advances in Studies on Oak Decline. Proc. Int. Congress, Brindisi, Italy, September 13-18, 1992 (pp. 49–58). Italy: Università degli Studi.Brasier, C. M. (1996). Phytophthora cinnamomi and oak decline in southern Europe. Environmental constraints including climate change. Annales des Sciences Forestieres, 53, 347–358.Brasier, C. M. (2008). The biosecurity threat to the UK and global environment from international trade in plants. Plant Pathology, 57, 792–808.Brasier, C. M., Hamm, P. B., & Hansen, E. M. (1993a). Cultural characters, protein patterns and unusual mating behaviour of P. gonapodyides isolates from Britain and North America. Mycological Research, 97, 1287–1298.Brasier, C. M., Robredo, F., & Ferraz, J. F. P. (1993b). Evidence for Phytophthora cinnamomi involvement in Iberian oak decline. Plant Pathology, 42, 140–145.Camilo-Alves, C. S. P., Clara, M. I. E., & Ribeiro, N. M. C. A. (2013). Decline of Mediterranean oak trees and its association with Phytophthora cinnamomi: a review. European Journal of Forest Research, 132, 411–432.Català, S., Berbegal, M., Pérez-Sierra, A., & Abad-Campos, P. (2017). Metabarcoding and development of new real-time specific assays reveal Phytophthora species diversity in holm oak forests in eastern Spain. Plant Pathology, 66, 115–123.Collett, D. (2003). Modelling survival data in medical research (2nd ed.). Boca Raton: Chapman & Hall/CRC, 410 pp.Corcobado, T., Cubera, E., Pérez-Sierra, A., Jung, T., & Solla, A. (2010). First report of Phytophthora gonapodyides involved in the decline of Quercus ilex in xeric conditions in Spain. New Disease Reports, 22, 33.Corcobado, T., Cubera, E., Moreno, G., & Solla, A. (2013). Quercus ilex forests are influenced by annual variations in water table, soil water deficit and fine root loss caused by Phytophthora cinnamomi. Agricultural and Forest Meteorology, 169, 92–99.Corcobado, T., Vivas, M., Moreno, G., & Solla, A. (2014). Ectomycorrhizal symbiosis in declining and non-declining Quercus ilex trees infected with or free of Phytophthora cinnamomi. Forest Ecology and Management, 324, 72–80.Corcobado, T., Miranda-Torres, J. J., Martín-García, J., Jung, T., & Solla, A. (2017). Early survival of Quercus ilex subspecies from different populations after infections and co-infections by multiple Phytophthora species. Plant Pathology, 66, 792–804.Erwin, D. C., & Ribeiro, O. K. (1996). Phytophthora diseases worldwide. St. Paul, Minnesota,USA: APS Press, American Phytopathological. Society 562pp.Gallego, F. J., Perez de Algaba, A., & Fernandez-Escobar, R. (1999). Etiology of oak decline in Spain. European Journal of Forest Pathology, 29, 17–27.Hansen, E., & Delatour, C. (1999). Phytophthora species in oak forests of north-east France. Annals of Forest Science, 56, 539–547.Hardham, A. R., & Blackman, L. M. (2010). Molecular cytology of Phytophthora plant interactions. Australasian Plant Pathology, 39, 29.Hernández-Lambraño, R. E., González-Moreno, P., & Sánchez-Agudo, J. Á. (2018). Environmental factors associated with the spatial distribution of invasive plant pathogens in the Iberian Peninsula: The case of Phytophthora cinnamomi Rands. Forest Ecology and Management, 419, 101–109.Jankowiak, R., Stępniewska, H., Bilański, P., & Kolařík, M. (2014). Occurrence of Phytophthora plurivora and other Phytophthora species in oak forests of southern Poland and their association with site conditions and the health status of trees. Folia Microbiologica, 59, 531–542.Jeffers, S. N., & Aldwinckle, H. S. (1987). Enhancing detection of Phytophthora cactorum in naturally infested soil. Phytopathology, 77, 1475–1482.Jiménez, A. J., Sánchez, E. J., Romero, M. A., Belbahri, L., Trapero, A., Lefort, F., & Sánchez, M. E. (2008). Pathogenicity of Pythium spiculum and P. sterilum on feeder roots of Quercus rotundifolia. Plant Pathology, 57, 369.Jönsson, U. (2006). A conceptual model for the development of Phytophthora disease in Quercus robur. New Phytologist, 171, 55–68.Jönsson, U., Jung, T., Rosengren, U., Nihlgard, B., & Sonesson, K. (2003). Pathogenicity of Swedish isolates of Phytophthora quercina to Quercus robur in two different soils. New Phytologist, 158, 355–364.Jung, T., & Burgess, T. I. (2009). Re-evaluation of Phytophthora citricola isolates from multiple woody hosts in Europe and North America reveals a new species, Phytophthora plurivora sp. nov. Persoonia, 22, 95–110.Jung, T., Blaschke, H., & Neumann, P. (1996). Isolation, identification and pathogenicity of Phytophthora species from declining oak stands. European Journal of Forest Pathology, 26, 253–272.Jung, T., Cooke, D. E. L., Blaschke, H., Duncan, J. M., & Oßwald, W. (1999). Phytophthora quercina sp. nov., causing root rot of European oaks. Mycological Research, 103, 785–798.Jung, T., Blaschke, H., & Oßwald, W. (2000). Involvement of soilborne Phytophthora species in Central European oak decline and the effect of site factors on the disease. Plant Pathology, 49, 706–718.Jung, T., Hansen, E. M., Winton, L., Oßwald, W., & Delatour, C. (2002). Three new species of Phytophthora from European oak forests. Mycological Research, 106, 397–411.Jung, T., Orlikowski, L., Henricot, B., Abad-Campos, P., Aday, A. G., Aguín Casal, O., Bakonyi, J., Cacciola, S. O., Cech, T., Chavarriaga, D., Corcobado, T., Cravador, A., Decourcelle, T., Denton, G., Diamandis, S., Dogmus-Lehtijärvi, H. T., Franceschini, A., Ginetti, B., Glavendekic, M., Hantula, J., Hartmann, G., Herrero, M., Ivic, D., Horta Jung, M., Lilja, A., Keca, N., Kramarets, V., Lyubenova, A., Machado, H., Magnano di San Lio, G., Mansilla Vázquez, P. J., Marçais, B., Matsiakh, I., Milenkovic, I., Moricca, S., Nagy, Z. Á., Nechwatal, J., Olsson, C., Oszako, T., Pane, A., Paplomatas, E. J., Pintos Varela, C., Prospero, S., Rial Martínez, C., Rigling, D., Robin, C., Rytkönen, A., Sánchez, M. E., Scanu, B., Schlenzig, A., Schumacher, J., Slavov, S., Solla, A., Sousa, E., Stenlid, J., Talgø, V., Tomic, Z., Tsopelas, P., Vannini, A., Vettraino, A. M., Wenneker, M., Woodward, S., & Peréz-Sierra, A. (2016). Widespread Phytophthora infestations in European nurseries put forest, semi-natural and horticultural ecosystems at high risk of Phytophthora diseases. Forest Pathology, 46, 134–163.Kroon, L. P., Brouwer, H., de Cock, A. W., & Govers, F. (2012). The genus Phytophthora anno 2012. Phytopathology, 102, 348–364.Linaldeddu, B. T., Scanu, B., Maddau, L., & Franceschini, A. (2014). Diplodia corticola and Phytophthora cinnamomi: the main pathogens involved in holm oak decline on Caprera Island (Italy). Forest Pathology, 44, 191–200.Luque, J., Parladé, J., & Pera, J. (2000). Pathogenicity of fungi isolated from Quercus suber in Catalonia (NE Spain). Forest Pathology, 30, 247–263.Luque, J., Parladé, J., & Pera, J. (2002). Seasonal changes in susceptibility of Quercus suber to Botryosphaeria stevensii and Phytophthora cinnamomi. Plant Pathology, 51, 338–345.MAGRAMA. (2014). Diagnóstico del Sector Forestal Español. Análisis y Prospectiva - Serie Agrinfo/Medioambiente n° 8. Ed. Ministerio de Agricultura, Alimentación y Medio Ambiente. In NIPO: 280-14-081-9.Martín-García, J., Solla, A., Corcobado, T., Siasou, E., & Woodward, S. (2015). Influence of temperature on germination of Quercus ilex in Phytophthora cinnamomi, P. gonapodyides, P. quercina and P. psychrophila infested soils. Forest Pathology, 45, 215–223.Maurel, M., Robin, C., Capron, G., & Desprez-Loustau, M. L. (2001). Effects of root damage associated with Phytophthora cinnamomi on water elations, biomass accumulation, mineral nutrition and vulnerability to water deficit of five oak and chestnut species. Forest Pathology, 31, 353–369.McKinney, H. H. (1923). Influence of soil temperature and moisture on infection of wheat seedlings by Helminthosporium sativum. Journal of Agricultural Research, 26, 195–217.Moralejo, E., Pérez-Sierra, A., Álvarez, L. A., Belbahri, L., Lefort, F., & Descals, E. (2009). Multiple alien Phytophthora taxa discovered on diseased ornamental plants in Spain. Plant Pathology, 58, 100–110.Mora-Sala, B., Berbegal, M., & Abad-Campos, P. (2018). The use of qPCR reveals a high frequency of Phytophthora quercina in two Spanish holm oak areas. Forests, 9(11):697. https://doi.org/10.3390/f9110697 .Moreira, A. C., & Martins, J. M. S. (2005). Influence of site factors on the impact of Phytophthora cinnamomi in cork oak stands in Portugal. Forest Pathology, 35, 145–162.Mrázková, M., Černý, K., Tomosovsky, M., Strnadová, V., Gregorová, B., Holub, V., Panek, M., Havrdová, L., & Hejná, M. (2013). Occurrence of Phytophthora multivora and Phytophthora plurivora in the Czech Republic. Plant Protection Science, 49, 155–164.Navarro, R. M., Gallo, L., Sánchez, M. E., Fernández, P., & Trapero, A. (2004). Efecto de distintas fertilizaciones de fósforo en la resistencia de brinzales de encina y alcornoque a Phytophthora cinnamomi Rands. Investigación Agraria. Sistemas y Recursos Forestales, 13, 550–558.Panabières, F., Ali, G., Allagui, M., Dalio, R., Gudmestad, N., Kuhn, M., Guha Roy, S., Schena, L., & Zampounis, A. (2016). Phytophthora nicotianae diseases worldwide: new knowledge of a long-recognised pathogen. Phytopathologia Mediterranea, 55, 20–40.Pérez-Sierra, A., & Jung, T. (2013). Phytophthora in woody ornamental nurseries. In: Phytophthora: A global perspective (pp. 166-177). Ed. by Lamour, K. Wallingford: CABI.Pérez-Sierra, A., Mora-Sala, B., León, M., García-Jiménez, J., & Abad-Campos, P. (2012). Enfermedades causadas por Phytophthora en viveros de plantas ornamentales. Boletín de Sanidad Vegetal-Plagas, 38, 143–156.Pérez-Sierra, A., López-García, C., León, M., García-Jiménez, J., Abad-Campos, P., & Jung, T. (2013). Previously unrecorded low-temperature Phytophthora species associated with Quercus decline in a Mediterranean forest in eastern Spain. Forest Pathology, 43, 331–339.Redondo, M. A., Pérez-Sierra, A., & Abad-Campos, P. (2015). Histology of Quercus ilex roots during infection by Phytophthora cinnamomi. Trees - Structure and Function, 29, 1943–5197.Ríos, P., Obregón, S., de Haro, A., Fernández-Rebollo, P., Serrano, M. S., & Sánchez, M. E. (2016). Effect of Brassica Biofumigant Amendments on Different Stages of the Life Cycle of Phytophthora cinnamomi. Journal of Phytopathology, 164, 582–594.Rizzo, D. M., Garbelotto, M., Davidson, J. M., Slaughter, G. W., & Koike, S. T. (2002). Phytophthora ramorum as the cause of extensive mortality of Quercus spp. and Lithocarpus densiflorus in California. Plant Disease, 86, 205–214.Robin, C., Desprez-Loustau, M. L., Capron, G., & Delatour, C. (1998). First record of Phytophthora cinnamomi on cork and holm oaks in France and evidence of pathogenicity. Annales Des Sciences Forestieres, 55, 869–883.Robin, C., Capron, G., & Desprez-Loustau, M. L. (2001). Root infection by Phytophthora cinnamomi in seedlings of three oak species. Plant Pathology, 50, 708–716.Rodríguez-Molina, M. C., Torres-Vila, L. M., Blanco-Santos, A., Núñez, E. J. P., & Torres-Álvarez, E. (2002). Viability of holm and cork oak seedlings from acorns sown in soils naturally infected with Phytophthora cinnamomi. Forest Pathology, 32, 365–372.Romero, M. A., Sánchez, J. E., Jiménez, J. J., Belbahri, L., Trapero, A., Lefort, F., & Sánchez, M. E. (2007). New Pythium taxa causing root rot in Mediterranean Quercus species in southwest Spain and Portugal. Journal of Phytopathology, 115, 289–295.Sánchez de Lorenzo-Cáceres J. M. (2001). Guía de las plantas ornamentales. S.A. Mundi-Prensa Libros. ISBN 9788471149374. 688 pp.Sánchez, M. E., Caetano, P., Ferraz, J., & Trapero, A. (2002). Phytophtora disease of Quercus ilex in south-western Spain. Forest Pathology, 32, 5–18.Sánchez, M. E., Sánchez, J. E., Navarro, R. M., Fernández, P., & Trapero, A. (2003). Incidencia de la podredumbre radical causada por Phytophthora cinnamomi en masas de Quercus en Andalucía. Boletín de Sanidad Vegetal-Plagas, 29, 87–108.Sánchez, M. E., Andicoberry, S., & Trapero, A. (2005). Pathogenicity of three Phytophthora spp. causing late seedling rot of Quercus ilex ssp. ballota. Forest Pathology, 35, 115–125.Sánchez, M. E., Caetano, P., Romero, M. A., Navarro, R. M., & Trapero, A. (2006). Phytophthora root rot as the main factor of oak decline in southern Spain. In: Progress in Research on Phytophthora Diseases of Forest Trees. Proceedings of the Third International IUFRO Working Party S07.02.09. Meeting at Freising. Germany 11-18 September 2004. Brasier C. M., Jung T., Oßwald W. (Eds). Forest Research. Farnham, UK. pp. 149-154.Scanu, B., Linaldeddu, B. T., Deidda, A., & Jung, T. (2015). Diversity of Phytophthora species from declining Mediterranean maquis vegetation, including two new species, Phytophthora crassamura and P. ornamentata sp. nov. PLoS ONE, 10. https://doi.org/10.1371/journal.pone.0143234 .Schmitthenner, A. F., & Canaday, C. H. (1983). Role of chemical factors in the development of Phytophthora diseases. In: Phytophthora. Its biology, taxonomy, ecology, and pathology (pp.189-196). Ed. by Erwin D. C., Bartnicki-Garcia S., Tsao P. H. St. Paul, : The American Phytopathological Society.Scibetta, S., Schena, L., Chimento, A., Cacciola, S. A., & Cooke, D. E. L. (2012). A molecular method to assess Phytophthora diversity in environmental samples. Journal of Microbiological Methods, 88, 356–368.Sena, K., Crocker, E., Vincelli, P., & Barton, C. (2018). Phytophthora cinnamomi as a driver of forest change: Implications for conservation and management. Forest Ecology and Management, 409, 799–807.Thines, M. (2013). Taxonomy and phylogeny of Phytophthora and related oomycetes In: Phytophthora: A global perspective (pp. 11-18). Ed. by Lamour, K. Wallingford: CABI.Tsao, P. H. (1990). Why many Phytophthora root rots and crown rots of tree and horticultural crops remain undetected. EPPO Bulletin, 20, 11–17.Tuset, J. J., Hinarejos, C., Mira, J. L., & Cobos, M. (1996). Implicación de Phytophthora cinnamomi Rands en la enfermedad de la seca de encinas y alcornoques. Boletín de Sanidad Vegetal-Plagas, 22, 491–499.Vettraino, A. M., Barzanti, G. P., Bianco, M. C., Ragazzi, A., Capretti, P., Paoletti, E., & Vannini, A. (2002). Occurrence of Phytophthora species in oak stands in Italy and their association with declining oak trees. Forest Pathology, 32, 19–28.Xia, K., Hill, L. M., Li, D. Z., & Walters, C. (2014). Factors affecting stress tolerance in recalcitrant embryonic axes from seeds of four Quercus (Fagaceae) species native to the USA or China. Annals of Botany, 114, 1747–1759
The Use of Genus-Specific Amplicon Pyrosequencing to Assess Phytophthora Species Diversity Using eDNA from Soil and Water in Northern Spain
[EN] Phytophthora is one of the most important and aggressive plant pathogenic genera in agriculture and forestry. Early detection and identification of its pathways of infection and spread are of high importance to minimize the threat they pose to natural ecosystems. eDNA was extracted from soil and water from forests and plantations in the north of Spain. Phytophthora-specific primers were adapted for use in high-throughput Sequencing (HTS). Primers were tested in a control reaction containing eight Phytophthora species and applied to water and soil eDNA samples from northern Spain. Different score coverage threshold values were tested for optimal Phytophthora species separation in a custom-curated database and in the control reaction. Clustering at 99% was the optimal 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 showed no close match to sequences in international sequence databases, revealing that eDNA pyrosequencing is a useful strategy to assess Phytophthora species diversity in natural ecosystems.This project has been supported by the Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (EUPHRESCO-CEP: "Current and Emerging Phytophthoras: Research Supporting Risk Assessment And Risk Management"). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Català, S.; Pérez Sierra, AM.; Abad Campos, P. (2015). The Use of Genus-Specific Amplicon Pyrosequencing to Assess Phytophthora Species Diversity Using eDNA from Soil and Water in Northern Spain. PLoS ONE. 10(3):1-14. doi:10.1371/journal.pone.0119311S114103REICHARD, S. H., & WHITE, P. (2001). Horticulture as a Pathway of Invasive Plant Introductions in the United States. BioScience, 51(2), 103. doi:10.1641/0006-3568(2001)051[0103:haapoi]2.0.co;2Brasier, C. M. (2008). The biosecurity threat to the UK and global environment from international trade in plants. Plant Pathology, 57(5), 792-808. doi:10.1111/j.1365-3059.2008.01886.xTABERLET, P., COISSAC, E., HAJIBABAEI, M., & RIESEBERG, L. H. (2012). Environmental DNA. Molecular Ecology, 21(8), 1789-1793. doi:10.1111/j.1365-294x.2012.05542.xSogin, M. L., Morrison, H. G., Huber, J. A., Welch, D. M., Huse, S. M., Neal, P. R., … Herndl, G. J. (2006). Microbial diversity in the deep sea and the underexplored «rare biosphere». Proceedings of the National Academy of Sciences, 103(32), 12115-12120. doi:10.1073/pnas.0605127103Roesch, L. F. W., Fulthorpe, R. R., Riva, A., Casella, G., Hadwin, A. K. M., Kent, A. D., … Triplett, E. W. (2007). Pyrosequencing enumerates and contrasts soil microbial diversity. The ISME Journal, 1(4), 283-290. doi:10.1038/ismej.2007.53Acosta-Martínez, V., Dowd, S., Sun, Y., & Allen, V. (2008). Tag-encoded pyrosequencing analysis of bacterial diversity in a single soil type as affected by management and land use. Soil Biology and Biochemistry, 40(11), 2762-2770. doi:10.1016/j.soilbio.2008.07.022Jumpponen, A., & Jones, K. L. (2009). Massively parallel 454 sequencing indicates hyperdiverse fungal communities in temperateQuercus macrocarpaphyllosphere. New Phytologist, 184(2), 438-448. doi:10.1111/j.1469-8137.2009.02990.xNilsson, R. H., Ryberg, M., Abarenkov, K., Sjökvist, E., & Kristiansson, E. (2009). The ITS region as a target for characterization of fungal communities using emerging sequencing technologies. FEMS Microbiology Letters, 296(1), 97-101. doi:10.1111/j.1574-6968.2009.01618.xCoince, A., Caël, O., Bach, C., Lengellé, J., Cruaud, C., Gavory, F., … Buée, M. (2013). Below-ground fine-scale distribution and soil versus fine root detection of fungal and soil oomycete communities in a French beech forest. Fungal Ecology, 6(3), 223-235. doi:10.1016/j.funeco.2013.01.002Vannini, A., Bruni, N., Tomassini, A., Franceschini, S., & Vettraino, A. M. (2013). Pyrosequencing of environmental soil samples reveals biodiversity of thePhytophthoraresident community in chestnut forests. FEMS Microbiology Ecology, 85(3), 433-442. doi:10.1111/1574-6941.12132Jerde, C. L., Mahon, A. R., Chadderton, W. L., & Lodge, D. M. (2011). «Sight-unseen» detection of rare aquatic species using environmental DNA. Conservation Letters, 4(2), 150-157. doi:10.1111/j.1755-263x.2010.00158.xMonchy, S., Sanciu, G., Jobard, M., Rasconi, S., Gerphagnon, M., Chabé, M., … Sime-Ngando, T. (2011). Exploring and quantifying fungal diversity in freshwater lake ecosystems using rDNA cloning/sequencing and SSU tag pyrosequencing. Environmental Microbiology, 13(6), 1433-1453. doi:10.1111/j.1462-2920.2011.02444.xJobard, M., Rasconi, S., Solinhac, L., Cauchie, H.-M., & Sime-Ngando, T. (2012). Molecular and morphological diversity of fungi and the associated functions in three European nearby lakes. Environmental Microbiology, 14(9), 2480-2494. doi:10.1111/j.1462-2920.2012.02771.xLivermore, J. A., & Mattes, T. E. (2013). Phylogenetic detection of novel Cryptomycota in an Iowa (United States) aquifer and from previously collected marine and freshwater targeted high-throughput sequencing sets. Environmental Microbiology, 15(8), 2333-2341. doi:10.1111/1462-2920.12106NAKAYAMA, J., JIANG, J., WATANABE, K., CHEN, K., NINXIN, H., MATSUDA, K., … LEE, Y.-K. (2013). Up to Species-level Community Analysis of Human Gut Microbiota by 16S rRNA Amplicon Pyrosequencing. Bioscience of Microbiota, Food and Health, 32(2), 69-76. doi:10.12938/bmfh.32.69CREER, S., & SINNIGER, F. (2012). Cosmopolitanism of microbial eukaryotes in the global deep seas. Molecular Ecology, 21(5), 1033-1035. doi:10.1111/j.1365-294x.2012.05437.xDavey, M. L., Heegaard, E., Halvorsen, R., Kauserud, H., & Ohlson, M. (2012). Amplicon-pyrosequencing-based detection of compositional shifts in bryophyte-associated fungal communities along an elevation gradient. Molecular Ecology, 22(2), 368-383. doi:10.1111/mec.12122Weber, C. F., Vilgalys, R., & Kuske, C. R. (2013). Changes in Fungal Community Composition in Response to Elevated Atmospheric CO2 and Nitrogen Fertilization Varies with Soil Horizon. Frontiers in Microbiology, 4. doi:10.3389/fmicb.2013.00078Bergmark, L., Poulsen, P. H. B., Al-Soud, W. A., Norman, A., Hansen, L. H., & Sørensen, S. J. (2012). Assessment of the specificity of Burkholderia and Pseudomonas qPCR assays for detection of these genera in soil using 454 pyrosequencing. FEMS Microbiology Letters, 333(1), 77-84. doi:10.1111/j.1574-6968.2012.02601.xLi, L., Abu Al-Soud, W., Bergmark, L., Riber, L., Hansen, L. H., Magid, J., & Sørensen, S. J. (2013). Investigating the Diversity of Pseudomonas spp. in Soil Using Culture Dependent and Independent Techniques. Current Microbiology, 67(4), 423-430. doi:10.1007/s00284-013-0382-xSCHENA, L., HUGHES, K. J. D., & COOKE, D. E. L. (2006). Detection and quantification ofPhytophthora ramorum,P. kernoviae,P. citricolaandP. quercinain symptomatic leaves by multiplex real-time PCR. Molecular Plant Pathology, 7(5), 365-379. doi:10.1111/j.1364-3703.2006.00345.xTooley, P. W., Martin, F. N., Carras, M. M., & Frederick, R. D. (2006). Real-Time Fluorescent Polymerase Chain Reaction Detection ofPhytophthora ramorumandPhytophthora pseudosyringaeUsing Mitochondrial Gene Regions. Phytopathology, 96(4), 336-345. doi:10.1094/phyto-96-0336Pavón, C. F., Babadoost, M., & Lambert, K. N. (2008). Quantification of Phytophthora capsici Oospores in Soil by Sieving-Centrifugation and Real-Time Polymerase Chain Reaction. Plant Disease, 92(1), 143-149. doi:10.1094/pdis-92-1-0143Than, D. J., Hughes, K. J. D., Boonhan, N., Tomlinson, J. A., Woodhall, J. W., & Bellgard, S. E. (2013). A TaqMan real-time PCR assay for the detection ofPhytophthora‘taxon Agathis’ in soil, pathogen of Kauri in New Zealand. Forest Pathology, 43(4), 324-330. doi:10.1111/efp.12034Chen, W., Djama, Z. R., Coffey, M. D., Martin, F. N., Bilodeau, G. J., Radmer, L., … Lévesque, C. A. (2013). Membrane-Based Oligonucleotide Array Developed from Multiple Markers for the Detection of Many Phytophthora Species. Phytopathology, 103(1), 43-54. doi:10.1094/phyto-04-12-0092-rScibetta, S., Schena, L., Chimento, A., Cacciola, S. O., & Cooke, D. E. L. (2012). A molecular method to assess Phytophthora diversity in environmental samples. Journal of Microbiological Methods, 88(3), 356-368. doi:10.1016/j.mimet.2011.12.012Català S, Pérez-Sierra A, Berbegal M, Abad-Campos P. First approach into the knowledge of the Phytophthora species diversity in Mediterranean holm oak forests based on 454 parallel amplicon pyrosequencing of soil samples. Phytophthora in Forest and Natural Ecosystems 6th International IUFRO Working Party 7.02.09 Meeting, Córdoba, Spain, pp 34; 2012.Català S, Pérez-Sierra A, Beltrán A, Abad-Campos P. Next Generation Sequencing shows Phytophthora species diversity in soil samples of Macaronesian laurel forests from the Canary Islands. Phytophthora in Forest and Natural Ecosystems 6th International IUFRO Working Party 7.02.09 Meeting, Córdoba, Spain, pp. 86; 2012.Cooke, D. E. L., Drenth, A., Duncan, J. M., Wagels, G., & Brasier, C. M. (2000). A Molecular Phylogeny of Phytophthora and Related Oomycetes. Fungal Genetics and Biology, 30(1), 17-32. doi:10.1006/fgbi.2000.1202Andrews S. FastQC: a quality control tool for high throughput sequence data. Available: http://www.bioinformatics.bbsrc.ac.uk/projects/fastqc/Chou, H.-H., & Holmes, M. H. (2001). DNA sequence quality trimming and vector removal. Bioinformatics, 17(12), 1093-1104. doi:10.1093/bioinformatics/17.12.1093Altschul, S. (1997). Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Research, 25(17), 3389-3402. doi:10.1093/nar/25.17.3389Edgar, R. C. (2004). MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Research, 32(5), 1792-1797. doi:10.1093/nar/gkh340Gouy, M., Guindon, S., & Gascuel, O. (2009). SeaView Version 4: A Multiplatform Graphical User Interface for Sequence Alignment and Phylogenetic Tree Building. Molecular Biology and Evolution, 27(2), 221-224. doi:10.1093/molbev/msp259Park, J., Park, B., Veeraraghavan, N., Jung, K., Lee, Y.-H., Blair, J. E., … Kang, S. (2008). Phytophthora Database: A Forensic Database Supporting the Identification and Monitoring of Phytophthora. Plant Disease, 92(6), 966-972. doi:10.1094/pdis-92-6-0966Vettraino, A. M., Bonants, P., Tomassini, A., Bruni, N., & Vannini, A. (2012). Pyrosequencing as a tool for the detection ofPhytophthoraspecies: error rate and risk of false Molecular Operational Taxonomic Units. Letters in Applied Microbiology, 55(5), 390-396. doi:10.1111/j.1472-765x.2012.03310.xJung, T., & Burgess, T. I. (2009). Re-evaluation of Phytophthora citricola isolates from multiple woody hosts in Europe and North America reveals a new species, Phytophthora plurivora sp. nov. Persoonia - Molecular Phylogeny and Evolution of Fungi, 22(1), 95-110. doi:10.3767/003158509x442612Deagle, B. E., Eveson, J. P., & Jarman, S. N. (2006). Quantification of damage in DNA recovered from highly degraded samples – a case study on DNA in faeces. Frontiers in Zoology, 3(1). doi:10.1186/1742-9994-3-11Dejean, T., Valentini, A., Duparc, A., Pellier-Cuit, S., Pompanon, F., Taberlet, P., & Miaud, C. (2011). Persistence of Environmental DNA in Freshwater Ecosystems. PLoS ONE, 6(8), e23398. doi:10.1371/journal.pone.0023398Guha Roy S, Grunwald NJ. The plant destroyer genus Phytophthora in the 21st century. In book: Review of Plant Pathology, Edition: Volume 6, Publisher: Scientific Publishers (India), Jodhpur, Editors: B.N.Chakraborty, B.B.L.Thakore, pp. In press; 2014.Brasier, C. M., Cooke, D. E. L., Duncan, J. M., & Hansen, E. M. (2003). Multiple new phenotypic taxa from trees and riparian ecosystems in Phytophthora gonapodyides-P. megasperma ITS Clade 6, which tend to be high-temperature tolerant and either inbreeding or sterile. Mycological Research, 107(3), 277-290. doi:10.1017/s095375620300738xHüberli, D., Hardy, G. E. S. J., White, D., Williams, N., & Burgess, T. I. (2013). Fishing for Phytophthora from Western Australia’s waterways: a distribution and diversity survey. Australasian Plant Pathology, 42(3), 251-260. doi:10.1007/s13313-012-0195-6Jung, T., Stukely, M. J. C., Hardy, G. E. S. J., White, D., Paap, T., Dunstan, W. A., & Burgess, T. I. (2011). Multiple new Phytophthora species from ITS Clade 6 associated with natural ecosystems in Australia: evolutionary and ecological implications. Persoonia - Molecular Phylogeny and Evolution of Fungi, 26(1), 13-39. doi:10.3767/003158511x557577Brasier, C. M., Sanchez-Hernandez, E., & Kirk, S. A. (2003). Phytophthora inundata sp. nov., a part heterothallic pathogen of trees and shrubs in wet or flooded soils. Mycological Research, 107(4), 477-484. doi:10.1017/s0953756203007548Hansen, E. M., Reeser, P. W., & Sutton, W. (2012). PhytophthoraBeyond Agriculture. Annual Review of Phytopathology, 50(1), 359-378. doi:10.1146/annurev-phyto-081211-172946Reeser, P. W., Sutton, W., Hansen, E. M., Remigi, P., & Adams, G. C. (2011). Phytophthora species in forest streams in Oregon and Alaska. Mycologia, 103(1), 22-35. doi:10.3852/10-013Nechwatal, J., Bakonyi, J., Cacciola, S. O., Cooke, D. E. L., Jung, T., Nagy, Z. Á., … Brasier, C. M. (2012). The morphology, behaviour and molecular phylogeny ofPhytophthorataxon Salixsoil and its redesignation asPhytophthora lacustrissp. nov. Plant Pathology, 62(2), 355-369. doi:10.1111/j.1365-3059.2012.02638.xHuai, W. -x., Tian, G., Hansen, E. M., Zhao, W. -x., Goheen, E. M., Grünwald, N. J., & Cheng, C. (2013). Identification ofPhytophthoraspecies baited and isolated from forest soil and streams in northwestern Yunnan province, China. Forest Pathology, 43(2), 87-103. doi:10.1111/efp.12015Oh, E., Gryzenhout, M., Wingfield, B. D., Wingfield, M. J., & Burgess, T. I. (2013). Surveys of soil and water reveal a goldmine of Phytophthora diversity in South African natural ecosystems. IMA Fungus, 4(1), 123-131. doi:10.5598/imafungus.2013.04.01.1
Integration of oncology and palliative care : a Lancet Oncology Commission
Full integration of oncology and palliative care relies on the specific knowledge and skills of two modes of care: the tumour-directed approach, the main focus of which is on treating the disease; and the host-directed approach, which focuses on the patient with the disease. This Commission addresses how to combine these two paradigms to achieve the best outcome of patient care. Randomised clinical trials on integration of oncology and palliative care point to health gains: improved survival and symptom control, less anxiety and depression, reduced use of futile chemotherapy at the end of life, improved family satisfaction and quality of life, and improved use of health-care resources. Early delivery of patient-directed care by specialist palliative care teams alongside tumour-directed treatment promotes patient-centred care. Systematic assessment and use of patient-reported outcomes and active patient involvement in the decisions about cancer care result in better symptom control, improved physical and mental health, and better use of health-care resources. The absence of international agreements on the content and standards of the organisation, education, and research of palliative care in oncology are major barriers to successful integration. Other barriers include the common misconception that palliative care is end-of-life care only, stigmatisation of death and dying, and insufficient infrastructure and funding. The absence of established priorities might also hinder integration more widely. This Commission proposes the use of standardised care pathways and multidisciplinary teams to promote integration of oncology and palliative care, and calls for changes at the system level to coordinate the activities of professionals, and for the development and implementation of new and improved education programmes, with the overall goal of improving patient care. Integration raises new research questions, all of which contribute to improved clinical care. When and how should palliative care be delivered? What is the optimal model for integrated care? What is the biological and clinical effect of living with advanced cancer for years after diagnosis? Successful integration must challenge the dualistic perspective of either the tumour or the host, and instead focus on a merged approach that places the patient's perspective at the centre. To succeed, integration must be anchored by management and policy makers at all levels of health care, followed by adequate resource allocation, a willingness to prioritise goals and needs, and sustained enthusiasm to help generate support for better integration. This integrated model must be reflected in international and national cancer plans, and be followed by developments of new care models, education and research programmes, all of which should be adapted to the specific cultural contexts within which they are situated. Patient-centred care should be an integrated part of oncology care independent of patient prognosis and treatment intention. To achieve this goal it must be based on changes in professional cultures and priorities in health care
Micromechanical Modeling of Ductile Fracture Initiation to Predict Fracture Toughness of Reactor Pressure Vessel Steels
Two micromechanical models of ductile fracture are investigated and have been applied to two reactor pressure vessel steels, 18MND5 and A508 Cl.3 : the Beremin model, based on the Rice et Tracey void growth model, and the damage work model that combines the plastic strain work to the work spent in void growth. Due to the local nature of these models, finite element analysis needs to be performed to derive stress and strain history in order to obtain the damage kinetics of the material and geometry under consideration. Tensile tests were performed on various geometries (notched and precracked tensile) and sizes. All specimens are in large scale yielding condition. It is found that while the critical void growth ratio decreases with the triaxiality ratio, the critical damage work is not affected. Geometry, size and orientation effects are also investigated. These effects are well described by these micromechanical models. Similar concepts are applied to sharp notch and crack tip situations. An additional parameter, the so-called characteristic distance, characterizing the process zone size, is introduced. The fracture toughness, derived from the notched bars, is within experimental uncertainties in reasonable agreement with the results obtained for cracked geometries
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