Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

TRY plant trait database – enhanced coverage and open access

Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Taking the pulse of Earth's tropical forests using networks of highly distributed plots

Tropical forests are the most diverse and productive ecosystems on Earth. While better understanding of these forests is critical for our collective future, until quite recently efforts to measure and monitor them have been largely disconnected. Networking is essential to discover the answers to questions that transcend borders and the horizons of funding agencies. Here we show how a global community is responding to the challenges of tropical ecosystem research with diverse teams measuring forests tree-by-tree in thousands of long-term plots. We review the major scientific discoveries of this work and show how this process is changing tropical forest science. Our core approach involves linking long-term grassroots initiatives with standardized protocols and data management to generate robust scaled-up results. By connecting tropical researchers and elevating their status, our Social Research Network model recognises the key role of the data originator in scientific discovery. Conceived in 1999 with RAINFOR (South America), our permanent plot networks have been adapted to Africa (AfriTRON) and Southeast Asia (T-FORCES) and widely emulated worldwide. Now these multiple initiatives are integrated via ForestPlots.net cyber-infrastructure, linking colleagues from 54 countries across 24 plot networks. Collectively these are transforming understanding of tropical forests and their biospheric role. Together we have discovered how, where and why forest carbon and biodiversity are responding to climate change, and how they feedback on it. This long-term pan-tropical collaboration has revealed a large long-term carbon sink and its trends, as well as making clear which drivers are most important, which forest processes are affected, where they are changing, what the lags are, and the likely future responses of tropical forests as the climate continues to change. By leveraging a remarkably old technology, plot networks are sparking a very modern revolution in tropical forest science. In the future, humanity can benefit greatly by nurturing the grassroots communities now collectively capable of generating unique, long-term understanding of Earth's most precious forests.Additional co-authors: Susan Laurance, William Laurance, Francoise Yoko Ishida, Andrew Marshall, Catherine Waite, Hannsjoerg Woell, Jean-Francois Bastin, Marijn Bauters, Hans Beeckman, Pfascal Boeckx, Jan Bogaert, Charles De Canniere, Thales de Haulleville, Jean-Louis Doucet, Olivier Hardy, Wannes Hubau, Elizabeth Kearsley, Hans Verbeeck, Jason Vleminckx, Steven W. Brewer, Alfredo Alarcón, Alejandro Araujo-Murakami, Eric Arets, Luzmila Arroyo, Ezequiel Chavez, Todd Fredericksen, René Guillén Villaroel, Gloria Gutierrez Sibauty, Timothy Killeen, Juan Carlos Licona, John Lleigue, Casimiro Mendoza, Samaria Murakami, Alexander Parada Gutierrez, Guido Pardo, Marielos Peña-Claros, Lourens Poorter, Marisol Toledo, Jeanneth Villalobos Cayo, Laura Jessica Viscarra, Vincent Vos, Jorge Ahumada, Everton Almeida, Jarcilene Almeida, Edmar Almeida de Oliveira, Wesley Alves da Cruz, Atila Alves de Oliveira, Fabrício Alvim Carvalho, Flávio Amorim Obermuller, Ana Andrade, Fernanda Antunes Carvalho, Simone Aparecida Vieira, Ana Carla Aquino, Luiz Aragão, Ana Claudia Araújo, Marco Antonio Assis, Jose Ataliba Mantelli Aboin Gomes, Fabrício Baccaro, Plínio Barbosa de Camargo, Paulo Barni, Jorcely Barroso, Luis Carlos Bernacci, Kauane Bordin, Marcelo Brilhante de Medeiros, Igor Broggio, José Luís Camargo, Domingos Cardoso, Maria Antonia Carniello, Andre Luis Casarin Rochelle, Carolina Castilho, Antonio Alberto Jorge Farias Castro, Wendeson Castro, Sabina Cerruto Ribeiro, Flávia Costa, Rodrigo Costa de Oliveira, Italo Coutinho, John Cunha, Lola da Costa, Lucia da Costa Ferreira, Richarlly da Costa Silva, Marta da Graça Zacarias Simbine, Vitor de Andrade Kamimura, Haroldo Cavalcante de Lima, Lia de Oliveira Melo, Luciano de Queiroz, José Romualdo de Sousa Lima, Mário do Espírito Santo, Tomas Domingues, Nayane Cristina dos Santos Prestes, Steffan Eduardo Silva Carneiro, Fernando Elias, Gabriel Eliseu, Thaise Emilio, Camila Laís Farrapo, Letícia Fernandes, Gustavo Ferreira, Joice Ferreira, Leandro Ferreira, Socorro Ferreira, Marcelo Fragomeni Simon, Maria Aparecida Freitas, Queila S. García, Angelo Gilberto Manzatto, Paulo Graça, Frederico Guilherme, Eduardo Hase, Niro Higuchi, Mariana Iguatemy, Reinaldo Imbrozio Barbosa, Margarita Jaramillo, Carlos Joly, Joice Klipel, Iêda Leão do Amaral, Carolina Levis, Antonio S. Lima, Maurício Lima Dan, Aline Lopes, Herison Madeiros, William E. Magnusson, Rubens Manoel dos Santos, Beatriz Marimon, Ben Hur Marimon Junior, Roberta Marotti Martelletti Grillo, Luiz Martinelli, Simone Matias Reis, Salomão Medeiros, Milton Meira-Junior, Thiago Metzker, Paulo Morandi, Natanael Moreira do Nascimento, Magna Moura, Sandra Cristina Müller, Laszlo Nagy, Henrique Nascimento, Marcelo Nascimento, Adriano Nogueira Lima, Raimunda Oliveira de Araújo, Jhonathan Oliveira Silva, Marcelo Pansonato, Gabriel Pavan Sabino, Karla Maria Pedra de Abreu, Pablo José Francisco Pena Rodrigues, Maria Piedade, Domingos Rodrigues, José Roberto Rodrigues Pinto, Carlos Quesada, Eliana Ramos, Rafael Ramos, Priscyla Rodrigues, Thaiane Rodrigues de Sousa, Rafael Salomão, Flávia Santana, Marcos Scaranello, Rodrigo Scarton Bergamin, Juliana Schietti, Jochen Schöngart, Gustavo Schwartz, Natalino Silva, Marcos Silveira, Cristiana Simão Seixas, Marta Simbine, Ana Claudia Souza, Priscila Souza, Rodolfo Souza, Tereza Sposito, Edson Stefani Junior, Julio Daniel do Vale, Ima Célia Guimarães Vieira, Dora Villela, Marcos Vital, Haron Xaud, Katia Zanini, Charles Eugene Zartman, Nur Khalish Hafizhah Ideris, Faizah binti Hj Metali, Kamariah Abu Salim, Muhd Shahruney Saparudin, Rafizah Mat Serudin, Rahayu Sukmaria Sukri, Serge Begne, George Chuyong, Marie Noel Djuikouo, Christelle Gonmadje, Murielle Simo-Droissart, Bonaventure Sonké, Hermann Taedoumg, Lise Zemagho, Sean Thomas, Fidèle Baya, Gustavo Saiz, Javier Silva Espejo, Dexiang Chen, Alan Hamilton, Yide Li, Tushou Luo, Shukui Niu, Han Xu, Zhang Zhou, Esteban Álvarez-Dávila, Juan Carlos Andrés Escobar, Henry Arellano-Peña, Jaime Cabezas Duarte, Jhon Calderón, Lina Maria Corrales Bravo, Borish Cuadrado, Hermes Cuadros, Alvaro Duque, Luisa Fernanda Duque, Sandra Milena Espinosa, Rebeca Franke-Ante, Hernando García, Alejandro Gómez, Roy González-M., Álvaro Idárraga-Piedrahíta, Eliana Jimenez, Rubén Jurado, Wilmar López Oviedo, René López-Camacho, Omar Aurelio Melo Cruz, Irina Mendoza Polo, Edwin Paky, Karen Pérez, Angel Pijachi, Camila Pizano, Adriana Prieto, Laura Ramos, Zorayda Restrepo Correa, James Richardson, Elkin Rodríguez, Gina M. Rodriguez M., Agustín Rudas, Pablo Stevenson, Markéta Chudomelová, Martin Dancak, Radim Hédl, Stanislav Lhota, Martin Svatek, Jacques Mukinzi, Corneille Ewango, Terese Hart, Emmanuel Kasongo Yakusu, Janvier Lisingo, Jean-Remy Makana, Faustin Mbayu, Benjamin Toirambe, John Tshibamba Mukendi, Lars Kvist, Gustav Nebel, Selene Báez, Carlos Céron, Daniel M. Griffith, Juan Ernesto Guevara Andino, David Neill, Walter Palacios, Maria Cristina Peñuela-Mora, Gonzalo Rivas-Torres, Gorky Villa, Sheleme Demissie, Tadesse Gole, Techane Gonfa, Kalle Ruokolainen, Michel Baisie, Fabrice Bénédet, Wemo Betian, Vincent Bezard, Damien Bonal, Jerôme Chave, Vincent Droissart, Sylvie Gourlet-Fleury, Annette Hladik, Nicolas Labrière, Pétrus Naisso, Maxime Réjou-Méchain, Plinio Sist, Lilian Blanc, Benoit Burban, Géraldine Derroire, Aurélie Dourdain, Clement Stahl, Natacha Nssi Bengone, Eric Chezeaux, Fidèle Evouna Ondo, Vincent Medjibe, Vianet Mihindou, Lee White, Heike Culmsee, Cristabel Durán Rangel, Viviana Horna, Florian Wittmann, Stephen Adu-Bredu, Kofi Affum-Baffoe, Ernest Foli, Michael Balinga, Anand Roopsind, James Singh, Raquel Thomas, Roderick Zagt, Indu K. Murthy, Kuswata Kartawinata, Edi Mirmanto, Hari Priyadi, Ismayadi Samsoedin, Terry Sunderland, Ishak Yassir, Francesco Rovero, Barbara Vinceti, Bruno Hérault, Shin-Ichiro Aiba, Kanehiro Kitayama, Armandu Daniels, Darlington Tuagben, John T. Woods, Muhammad Fitriadi, Alexander Karolus, Kho Lip Khoon, Noreen Majalap, Colin Maycock, Reuben Nilus, Sylvester Tan, Almeida Sitoe, Indiana Coronado G., Lucas Ojo, Rafael de Assis, Axel Dalberg Poulsen, Douglas Sheil, Karen Arévalo Pezo, Hans Buttgenbach Verde, Victor Chama Moscoso, Jimmy Cesar Cordova Oroche, Fernando Cornejo Valverde, Massiel Corrales Medina, Nallaret Davila Cardozo, Jano de Rutte Corzo, Jhon del Aguila Pasquel, Gerardo Flores Llampazo, Luis Freitas, Darcy Galiano Cabrera, Roosevelt García Villacorta, Karina Garcia Cabrera, Diego García Soria, Leticia Gatica Saboya, Julio Miguel Grandez Rios, Gabriel Hidalgo Pizango, Eurídice Honorio Coronado, Isau Huamantupa-Chuquimaco, Walter Huaraca Huasco, Yuri Tomas Huillca Aedo, Jose Luis Marcelo Peña, Abel Monteagudo Mendoza, Vanesa Moreano Rodriguez, Percy Núñez Vargas, Sonia Cesarina Palacios Ramos, Nadir Pallqui Camacho, Antonio Peña Cruz, Freddy Ramirez Arevalo, José Reyna Huaymacari, Carlos Reynel Rodriguez, Marcos Antonio Ríos Paredes, Lily Rodriguez Bayona, Rocio del Pilar Rojas Gonzales, Maria Elena Rojas Peña, Norma Salinas Revilla, Yahn Carlos Soto Shareva, Raul Tupayachi Trujillo, Luis Valenzuela Gamarra, Rodolfo Vasquez Martinez, Jim Vega Arenas, Christian Amani, Suspense Averti Ifo, Yannick Bocko, Patrick Boundja, Romeo Ekoungoulou, Mireille Hockemba, Donatien Nzala, Alusine Fofanah, David Taylor, Guillermo Bañares-de Dios, Luis Cayuela, Íñigo Granzow-de la Cerda, Manuel Macía, Juliana Stropp, Maureen Playfair, Verginia Wortel, Toby Gardner, Robert Muscarella, Hari Priyadi, Ervan Rutishauser, Kuo-Jung Chao, Pantaleo Munishi, Olaf Bánki, Frans Bongers, Rene Boot, Gabriella Fredriksson, Jan Reitsma, Hans ter Steege, Tinde van Andel, Peter van de Meer, Peter van der Hout, Mark van Nieuwstadt, Bert van Ulft, Elmar Veenendaal, Ronald Vernimmen, Pieter Zuidema, Joeri Zwerts, Perpetra Akite, Robert Bitariho, Colin Chapman, Eilu Gerald, Miguel Leal, Patrick Mucunguzi, Miguel Alexiades, Timothy R. Baker, Karina Banda, Lindsay Banin, Jos Barlow, Amy Bennett, Erika Berenguer, Nicholas Berry, Neil M. Bird, George A. Blackburn, Francis Brearley, Roel Brienen, David Burslem, Lidiany Carvalho, Percival Cho, Fernanda Coelho, Murray Collins, David Coomes, Aida Cuni-Sanchez, Greta Dargie, Kyle Dexter, Mat Disney, Freddie Draper, Muying Duan, Adriane Esquivel-Muelbert, Robert Ewers, Belen Fadrique, Sophie Fauset, Ted R. Feldpausch, Filipe França, David Galbraith, Martin Gilpin, Emanuel Gloor, John Grace, Keith Hamer, David Harris, Tommaso Jucker, Michelle Kalamandeen, Bente Klitgaard, Aurora Levesley, Simon L. Lewis, Jeremy Lindsell, Gabriela Lopez-Gonzalez, Jon Lovett, Yadvinder Malhi, Toby Marthews, Emma McIntosh, Karina Melgaço, William Milliken, Edward Mitchard, Peter Moonlight, Sam Moore, Alexandra Morel, Julie Peacock, Kelvin Peh, Colin Pendry, R. Toby Pennington, Luciana de Oliveira Pereira, Carlos Peres, Oliver L. Phillips, Georgia Pickavance, Thomas Pugh, Lan Qie, Terhi Riutta, Katherine Roucoux, Casey Ryan, Tiina Sarkinen, Camila Silva Valeria, Dominick Spracklen, Suzanne Stas, Martin Sullivan, Michael Swaine, Joey Talbot, James Taplin, Geertje van der Heijden, Laura Vedovato, Simon Willcock, Mathew Williams, Luciana Alves, Patricia Alvarez Loayza, Gabriel Arellano, Cheryl Asa, Peter Ashton, Gregory Asner, Terry Brncic, Foster Brown, Robyn Burnham, Connie Clark, James Comiskey, Gabriel Damasco, Stuart Davies, Tony Di Fiore, Terry Erwin, William Farfan-Rios, Jefferson Hall, David Kenfack, Thomas Lovejoy, Roberta Martin, Olga Martha Montiel, John Pipoly, Nigel Pitman, John Poulsen, Richard Primack, Miles Silman, Marc Steininger, Varun Swamy, John Terborgh, Duncan Thomas, Peter Umunay, Maria Uriarte, Emilio Vilanova Torre, Ophelia Wang, Kenneth Young, Gerardo A. Aymard C., Lionel Hernández, Rafael Herrera Fernández, Hirma Ramírez-Angulo, Pedro Salcedo, Elio Sanoja, Julio Serrano, Armando Torres-Lezama, Tinh Cong Le, Trai Trong Le, Hieu Dang Tra

Intoxicações por plantas e micotoxinas associadas a plantas em bovinos no Rio Grande do Sul: 461 casos

Foi realizado um levantamento nos arquivos do Laboratório de Patologia Veterinária (LPV) da Universidade Federal de Santa Maria (UFSM) e revisados os laudos de necropsias de bovinos realizadas entre 1990 e 2005. Foram revisados 2.912 casos referentes a necropsias realizadas por membros do LPV ou a materiais de necropsias realizadas por veterinários de campo que enviaram amostras para avaliação histológica no LPV. Em 461 (15,83%) das necropsias, a causa da morte foi atribuída à ingestão de plantas tóxicas. Em ordem decrescente de freqüência, intoxicações pelas seguintes plantas foram diagnosticadas: Senecio spp (56,14%), Pteridium aquilinum (12,06%), Ateleia glazioviana (10,31%), Solanum fastigiatum (5,04%), Baccharis coridifolia (3,29%), Xanthium cavanillesii (3,07%), Senna occidentalis (2,63%), Ramaria flavo-brunnescens (2,41%), Amaranthus spp (2,19%), Vicia villosa (1,54%), Ipomoea batatas, Prunus sellowii e polpa cítrica (0,44% cada), Cestrum parqui, Claviceps paspali, Claviceps purpurea, Brachiaria spp e Lantana sp (0.22% cada). Em um determinado surto o número de bovinos afetados era substancialmente maior que o número de necropsias realizadas. São discutidos os aspectos relacionados à distribuição geográfica, fatores que induziram a ingestão, índices de morbidade, mortalidade e letalidade, sinais clínicos, achados de necropsia e histopatológicos para cada intoxicação. Quando conhecidos, foram incluídos na discussão aspectos relacionados ao princípio ativo e a patogenia da intoxicação

Aspectos clínico-hematológicos e lesões vesicais na intoxicação crônica espontânea por Pteridium aquilinum em bovinos Clinical and hematological aspects and urinary bladder lesions in chronic spontaneous poisoning by Pteridium aquilinum in cattle

Foram estudados casos espontâneos de intoxicação crônica por samambaia (Pteridium aquilinum) em bovinos nas formas clinicopatológicas de carcinoma de células escamosas (CCE) no trato alimentar superior (TAS) e de hematúria enzoótica bovina (HEB), provenientes da Mesorregião Centro Ocidental Rio-Grandense e encaminhados ao Laboratório de Patologia Veterinária da Universidade Federal de Santa Maria. Para o estudo clínico foram avaliados os sinais clínicos de bovinos com CCEs no TAS e com HEB e realizados hemogramas na fase terminal da doença. Os principais sinais clínicos nos bovinos com CCEs no TAS foram emagrecimento progressivo, atonia ruminal, tosse, disfagia, timpanismo e regurgitação. Nos bovinos com HEB, hematúria foi o principal sinal, observado em todos os casos, seguido de emagrecimento progressivo. No exame hematológico, 33,33% dos bovinos com CCEs no TAS e 66,67% dos bovinos com HEB apresentaram anemia arregenerativa. Alterações no leucograma ocorreram em alguns casos, mas linfopenia foi um achado infreqüente em ambas as formas de intoxicação. Para o estudo morfológico, foram avaliadas as bexigas de 46 bovinos com CCEs no TAS e de 11 bovinos com HEB. Macroscopicamente, 16/46 bexigas dos casos de CCEs no TAS apresentaram alterações macroscópicas, que consistiam nódulos vermelhos ou pálidos, hemorragia e papilomas; urina vermelha foi observada na necropsia de apenas três casos). Nos casos de HEB, os achados macroscópicos vesicais foram nódulos vermelhos, massas neoplásicas focalmente extensas, urina vermelha, papilomas, hemorragias e ruptura de bexiga; pielonefrite e hidronefrose foram observados em poucos casos. Histologicamente, 44/46 (95,65%) bexigas de bovinos com CCEs no TAS apresentaram 22 tipos diferentes de alterações morfológicas, que foram classificadas em alterações neoplásicas (5/22) e alterações não-neoplásicas (17/22); essas últimas foram divididas em alterações epiteliais não-neoplásicas (6/17), alterações gerais na lâmina própria (6/22) e alterações inflamatórias (5/17). Os achados histológicos das bexigas dos casos de HEB foram classificados da mesma forma, resultando em 19 tipos diferentes de alterações morfológicas. Dessas, 5/19 eram alterações neoplásicas e 14/20, alterações não-neoplásicas (9/14 alterações epiteliais não neoplásicas, 3/14 alterações gerais na lâmina própria e 2/14 alterações inflamatórias). Na HEB, os neoplasmas mesenquimais foram mais freqüentemente observados que os epiteliais, e a maior parte era maligna. A técnica de imuno-histoquímica foi utilizada para caracterizar os aspectos morfológicos, principalmente dos neoplasmas. Através do estudo morfológico concluiu-se que é muito freqüente a ocorrência de lesões vesicais em bovinos com a forma crônica de CCEs no TAS e que essas lesões são idênticas às encontradas nos bovinos com HEB.<br>Spontaneous cases of chronic poisoning by Pteridium aquilinum in cattle were studied. The clinical forms of the disease were squamous cell carcinoma (SCCs) of the upper digestive tract (UDT) and bovine enzootic hematuria (BEH). The cases were from the midland Region of the Midwest of Rio Grande do Sul State, Brazil, and were submitted to the Laboratório de Patologia Veterinária of the Universidade Federal de Santa Maria. Clinical signs and blood work were evaluated at terminal phase of disease. Cattle with UDT SCCs had progressive weigth loss, ruminal atony, cough, dysphagia, bloating, and regurgitation. In cattle with BEH, hematuria was observed in all cases, followed by progressive weight loss. Non-regenerative anemia was detected in 33.33% of the cattle with UDT SCCs form and in 66.66% of the cattle with BEH form. Changes in white blood count occurred in some cases but drop in lymphocyte numbers was uncommon in both forms of disease. For the morphological study, urinary bladders from 46 cattle with UDT SCCs and 11 cattle with BEH were analyzed. Grossly, 16/46 bladders from the UDT SCCs form had gross lesions (red or pale vesical nodules, hemorrhages, and papilomas; red urine was detected at necropsy of only three cases). In BEH form, the bladder had nodules, large neoplastic masses, red urine, papilomas, and hemorrhages. Pyelonephritis and hydronephrosis were seen in a few cases. Microscopically, in the UDT SCCs form, 44/46 (95.65%) bladders had 22 different types of morphological changes, characterized by neoplastic lesions (5/22) and non-neoplastic lesions (17/22); the latter were subdivided in non-neoplastic epithelial changes (6/17), general changes of the lamina propria (6/17), and inflammatory changes (5/17). The bladder changes in BEH form were of 19 different types, characterized by neoplastic lesions (5/19) and non-neoplastic lesions (14/19), which were subdivided in non-neoplastic epitelial changes (9/14), general changes of the lamina propria (3/14), and inflammatory changes (2/14). In BEH, mesenchymal neoplasms were more observed than epithelial ones, and most of them were malignant. Immunohistochemistry was utilized to characterize the histogenesis of poorly differentiated neoplasms. In conclusion, the morphological study demonstrated that urinary bladder lesions identical to the those seen in cattle with BEH, are very often present in cattle with the UDT SCCs form

Surto de pitiose cutânea em bovinos Outbreak of cutaneous pythiosis in cattle

Setenta e seis bovinos, sem raça definida, jovens, de ambos os sexos, apresentaram lesões cutâneas multifocais nodulares, ulceradas e crostosas nas faces medial e lateral dos membros anteriores e posteriores, região ventral do pescoço, esterno e cauda. A doença ocorreu no verão e as lesões foram observadas nas regiões do corpo que ficavam grande tempo em contato com a água em canais de irrigação. Histologicamente observaram-se múltiplos granulomas e piogranulomas contendo escassas imagens negativas de hifas na área central, as quais foram melhor evidenciadas através da técnica de metenamina nitrato de prata de Grocott. O diagnóstico etiológico definitivo foi baseado na técnica de imuno-histoquímica com anticorpo policlonal anti-Pythium insidiosum. Adicionalmente, foi realizado o teste de ELISA indireto. Surtos de pitiose cutânea bovina são incomuns e, particularmente neste relato, todos os animais afetados tiveram cura espontânea das lesões dentro de duas a três semanas.<br>Seventy-six young mixed breed cattle of both sexes, presented multifocal ulcerated nodular cutaneous lesions localized in the medial and lateral aspects of fore and hindlimbs, ventral neck, sternum, and tail. The disease occurred during summer and lesions were observed on areas of the body which were in contact with water of irrigation channels for long periods. Histologically, there were multiple granulomas and pyogranulomas with few negative profiles of hyphae, which were better visualized throughout Grocott methenamine silver stain. Definitive etiologic diagnosis was based on immuno-histochemistry with anti-Pythium insidiosum polyclonal antibody. Additionally, an indirect ELISA test was performed. Bovine cutaneous pythiosis outbreaks are uncommon and, particularly as occurred in the cattle of this report, all affected animals had spontaneous healing within two to three weeks