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The Tomato chlorotic spot virus (TCSV) was first reported in the 1980s, having its occurrence limited to Brazil and Argentina. Due to an apparent mild severity in the past, molecular studies concerning TCSV were neglected. However, TCSV has disseminated over the USA and Caribbean countries. In Dominican Republic TCSV has been recently reported on important cultivated crops such as pepper and beans. In this work, we provide the first complete genome of a TCSV isolate from symptomatic plants in Dominican Republic, which was obtained by high-throughput sequencing. In addition, three dsRNA viruses from different virus families were identified coinfecting these plants Bell pepper endornavirus (BPEV), Southern tomato virus (STV) and Pepper cryptic virus 2 (PCV-2). Phylogenetic analysis showed that the Dominican Republic TCSV isolate has a close relationship with other TCSV isolates and a reassortant isolate between TCSV and Groundnut ringspot virus (GRSV), all found in USA. BPEV, STV and PCV-2 isolates from Dominican Republic were close related to corresponding American isolates. The possible biological implications of these virus-mixed infections are discussed.
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http://dx.doi.org/10.1186/s12985-018-0931-9 | DOI Listing |
Multivariate Behav Res
September 2025
Department of Social Psychology and Methodology, Universidad Autonoma de Madrid, Madrid, Spain.
Wording effects, the systematic method variance arising from the inconsistent responding to positively and negatively worded items of the same construct, are pervasive in the behavioral and health sciences. Although several factor modeling strategies have been proposed to mitigate their adverse effects, there is limited systematic research assessing their performance with exploratory structural equation models (ESEM). The present study evaluated the impact of different types of response bias related to wording effects (random and straight-line carelessness, acquiescence, item difficulty, and mixed) on ESEM models incorporating two popular method modeling strategies, the correlated traits-correlated methods minus one (CTC[M-1]) model and random intercept item factor analysis (RIIFA), as well as the "do nothing" approach.
View Article and Find Full Text PDFFront Artif Intell
August 2025
Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Valladolid, Spain.
Introduction: The rapid expansion of generated data through social networks has introduced significant challenges, which underscores the need for advanced methods to analyze and interpret these complex systems. Deep learning has emerged as an effective approach, offering robust capabilities to process large datasets, and uncover intricate relationships and patterns.
Methods: In this systematic literature review, we explore research conducted over the past decade, focusing on the use of deep learning techniques for community detection in social networks.
BMC Palliat Care
September 2025
Medical School, Internal Medicine Department, Geriatrics Division, São Paulo State University (UNESP), Av. Prof. Mario Rubens Guimaraes Montenegro, Botucatu, SN, 18618-687, Brazil.
Background/aims: The extent to which low- and middle-income countries have implemented Advance Care Planning (ACP) and Advance Directives (AD) remains unclear. We aimed to map the current status of ACP/AD in Latin America.
Methods: This cross-sectional, mixed-methods survey of ACP/AD in LA comprised interviews with 18 key informants from 18 out of 20 countries, most of whom were appointed by national Palliative Care Associations.
J Surg Case Rep
September 2025
Universidad Catolica de Santiago de Guayaquil, R39W+98W, Av. Pdte. Carlos Julio Arosemena Tola, Guayaquil 090615, Ecuador.
Ascariasis, caused by , is the most common helminthic infection worldwide, mainly in developing countries. Although intestinal obstruction is its most frequent complication, intestinal perforation with peritonitis is rare and life-threatening. A 45-year-old woman from a rural area presented with cramping abdominal pain, intermittent fever, and asthenia for 3 months.
View Article and Find Full Text PDFJ Oral Pathol Med
September 2025
Departamento de Diagnóstico Oral, Faculdade de Odontologia de Piracicaba, University of Campinas (UNICAMP), São Paulo, Brazil.
Background: Oral and maxillofacial pathology (OMFP) is a dental specialty that studies the causes, processes, and effects of diseases in the oral and maxillofacial area, while also contributing to diagnosis and treatment. Its recognition, training, and professional practice vary across the globe. This study aimed to explore the training and professional development of OMFP in Latin America and the Caribbean (LAC), including important issues such as specialty recognition, service regulation, postgraduate education, number of specialists, career opportunities, and perceived barriers.
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