190 research outputs found
Increasing incidence of childhood tumours of the central nervous system in Denmark, 1980–1996
The registered incidence rate of childhood central nervous system (CNS) tumours has increased in several countries. It is uncertain whether these increases are biologically real or owing to improved diagnostic methods. We explored the medical records of 626 CNS tumours diagnosed in Danish children between 1980 and 1996. Population-based registers were used to extract data on mortality and background population. Temporal patterns were analysed by regression techniques. Most tumours were verified by computed tomography (78%) or magnetic resonance imaging (14%). Overall, the incidence rate increased by 2.9% per year (95% confidence interval (CI): 1.3;4.5) and the mortality rate increased by 1.4% per year (95% CI: −0.4;3.3). Among children aged 0–4 years, the survival rate after diagnosis remained almost unchanged, whereas among children aged 5–14 years, the 10-year survival rate improved from 59 to 74%. These data suggest that the incidence rate of CNS tumours among Danish children has truly increased, although alternative explanations cannot be excluded
Image informatics strategies for deciphering neuronal network connectivity
Brain function relies on an intricate network of highly dynamic neuronal connections that rewires dramatically under the impulse of various external cues and pathological conditions. Among the neuronal structures that show morphologi- cal plasticity are neurites, synapses, dendritic spines and even nuclei. This structural remodelling is directly connected with functional changes such as intercellular com- munication and the associated calcium-bursting behaviour. In vitro cultured neu- ronal networks are valuable models for studying these morpho-functional changes. Owing to the automation and standardisation of both image acquisition and image analysis, it has become possible to extract statistically relevant readout from such networks. Here, we focus on the current state-of-the-art in image informatics that enables quantitative microscopic interrogation of neuronal networks. We describe the major correlates of neuronal connectivity and present workflows for analysing them. Finally, we provide an outlook on the challenges that remain to be addressed, and discuss how imaging algorithms can be extended beyond in vitro imaging studies
The pattern of recurrence of adenocarcinoma of the oesophago-gastric junction
Knowledge of the pattern of recurrence of surgically treated cases of adenocarcinoma of the oesophago-gastric junction is important both for better understanding of their biological nature and for future strategic planning of therapy. The aim of this study is to demonstrate and compare the pattern of dissemination and recurrence in patients with Type I and Type II adenocarcinoma of oesophago-gastric junction. A prospective audit of the clinico-pathological features of patients who had undergone surgery with curative intent for adenocarcinoma of oesophago-gastric junction between 1991 and 1996 was undertaken. Patients were followed up by regular clinical examination. Clinical evaluation was supported by ultrasound, computerised tomography, radio-isotope bone scan, endoscopy and laparotomy each with biopsy and histology where appropriate. One hundred and sixty-nine patients with oesophago-gastric junction tumours (94 Type I and 75 Type II) have been followed up for a median of 75.3 (57–133) months. One hundred and three patients developed proven recurrent disease. The median time to recurrence was 23.3 (14.2–32.4) months for Type I and 20.5 (11.6–29.4) for Type II cancers. The most frequent type of recurrence was haematogenous (56% of Type I recurrences and 54% of Type II) of which 56% were detected within 1 year of surgery. The most frequent sites were to liver (27%), bone (18%) brain (11%) and lung (11%). Local recurrence occurred in 33% of Type I cancer and 29% of Type II recurrences. Nodal recurrence occurred in 18 and 25% of Type I and Type II cancer recurrences, most frequently to coeliac or porta hepatis nodes (64%). Only 7% of Type I and 15% of Type II cancer recurrences were by peritoneal dissemination. Type I and Type II adenocarcinoma of the oesophago-gastric junction have a predominantly early, haematogenous pattern of recurrence. There is a need to better identify the group of patients with small metastases at the time of diagnosis who are destined to develop recurrent disease in order that they may be spared surgery and those with micro metastases in order that they can be offered multi-modality therapy including early post operative or neo-adjuvant chemotherapy
A Game-Theoretic Model of Interactions between Hibiscus Latent Singapore Virus and Tobacco Mosaic Virus
Mixed virus infections in plants are common in nature and their interactions affecting host plants would depend mainly on plant species, virus strains, the order of infection and initial amount of inoculum. Hence, the prediction of outcome of virus competition in plants is not easy. In this study, we applied evolutionary game theory to model the interactions between Hibiscus latent Singapore virus (HLSV) and Tobacco mosaic virus (TMV) in Nicotiana benthamiana under co-infection in a plant host. The accumulation of viral RNA was quantified using qPCR at 1, 2 and 8 days post infection (dpi), and two different methods were employed to predict the dominating virus. TMV was predicted to dominate the game in the long run and this prediction was confirmed by both qRT-PCR at 8 dpi and the death of co-infected plants after 15 dpi. In addition, we validated our model by using data reported in the literature. Ten out of fourteen reported co-infection outcomes agreed with our predictions. Explanations were given for the four interactions that did not agree with our model. Hence, it serves as a valuable tool in making long term predictions using short term data obtained in virus co-infections
Resistance to Wheat streak mosaic virus identified in synthetic wheat lines
Citation: Shoup Rupp, J. L., Simon, Z. G., Gillett-Walker, B., & Fellers, J. P. (2014). Resistance
to Wheat streak mosaic virus identified in synthetic wheat lines. Retrieved from
http://krex.ksu.eduWheat streak mosaic virus (WSMV) is an important pathogen in wheat that causes significant yield losses each year. WSMV is typically controlled using cultural practices such as the removal of volunteer wheat. Genetic resistance is limited. Until recently, no varieties have been available with major resistance genes to WSMV. Two resistance genes have been derived from Thinopyrum intermedium through chromosome engineering, while a third gene was transferred from bread wheat through classical breeding. New sources of resistance are needed and synthetic wheat lines provide a means of accessing genetic variability in wheat progenitors. A collection of wheat synthetic lines was screened for WSMV resistance. Four lines, 07-SYN-27, -106, -164, and -383 had significant levels of resistance. Resistance was effective at 18 °C and virus accumulation was similar to the resistant control, WGGRC50 containing Wsm1. At 25 °C, resistance was no longer effective and virus accumulation was similar to the susceptible control, Tomahawk
Parental smoking and childhood cancer: results from the United Kingdom Childhood Cancer Study
There are strong a priori reasons for considering parental smoking behaviour as a risk factor for childhood cancer but case – control studies have found relative risks of mostly only just above one. To investigate this further, self-reported smoking habits in parents of 3838 children with cancer and 7629 control children included in the United Kingdom Childhood Cancer Study (UKCCS) were analysed. Separate analyses were performed for four major groups (leukaemia, lymphoma, central nervous system tumours and other solid tumours) and more detailed diagnostic subgroups by logistic regression. In the four major groups, after adjustment for parental age and deprivation there were nonsignificant trends of increasing risk with number of cigarettes smoked for paternal preconception smoking and nonsignificant trends of decreasing risk for maternal preconception smoking (all P-values for trend >0.05). Among the diagnostic subgroups, a statistically significant increased risk of developing hepatoblastoma was found in children whose mothers smoked preconceptionally (OR=2.68, P=0.02) and strongest (relative to neither parent smoking) for both parents smoking (OR=4.74, P=0.003). This could be a chance result arising from multiple subgroup analysis. Statistically significant negative trends were found for maternal smoking during pregnancy for all diagnoses together (P<0.001) and for most individual groups, but there was evidence of under-reporting of smoking by case mothers. In conclusion, the UKCCS does not provide significant evidence that parental smoking is a risk factor for any of the major groups of childhood cancers
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
It Costs to Be Clean and Fit: Energetics of Comfort Behavior in Breeding-Fasting Penguins
), seabirds known to fast for up to one month during incubation shifts ashore.A time budget was estimated from focal and scan sampling field observations and the energy cost of comfort activities was calculated from the associated increase in heart rate (HR) during comfort episodes, using previously determined equations relating HR to energy expenditure. We show that incubating birds spent 22% of their daily time budget in comfort behavior (with no differences between day and night) mainly devoted to preening (73%) and head/body shaking (16%). During comfort behavior, energy expenditure averaged 1.24 times resting metabolic rate (RMR) and the corresponding energy cost (i.e., energy expended in excess to RMR) was 58 kJ/hr. Energy expenditure varied greatly among various types of comfort behavior, ranging from 1.03 (yawning) to 1.78 (stretching) times RMR. Comfort behavior contributed 8.8–9.3% to total daily energy expenditure and 69.4–73.5% to energy expended daily for activity. About half of this energy was expended caring for plumage.This study is the first to estimate the contribution of comfort behavior to overall energy budget in a free-living animal. It shows that although breeding on a tight energy budget, king penguins devote a substantial amount of time and energy to comfort behavior. Such findings underline the importance of comfort behavior for the fitness of colonial seabirds
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