Erythrina velutina Willd. alkaloids : piecing biosynthesis together from transcriptome analysis and metabolite profiling of seeds and leaves

Introduction: Natural products of pharmaceutical interest often do not reach the drug market due to the associated low yields and difficult extraction. Knowledge of biosynthetic pathways is a key element in the development of biotechnological strategies for plant specialized metabolite production. Erythrina species are mainly used as central nervous system depressants in folk medicine and are important sources of bioactive tetracyclic benzylisoquinoline alkaloids (BIAs), which can act on several pathology-related biological targets. Objectives: In this sense, in an unprecedented approach used with a non-model Fabaceae species grown in its unique arid natural habitat, a combined transcriptome and metabolome analyses (seeds and leaves) is presented. Methods: The Next Generation Sequencing-based transcriptome (de novo RNA sequencing) was carried out in a NextSeq 500 platform. Regarding metabolite profiling, the High-resolution Liquid Chromatography was coupled to DAD and a micrOTOF-QII mass spectrometer by using electrospray ionization (ESI) and Time of Flight (TOF) analyzer. The tandem MS/MS data were processed and analyzed through Molecular Networking approach. Results: This detailed macro and micromolecular approach applied to seeds and leaves of E. velutina revealed 42 alkaloids, several of them unique. Based on the combined evidence, 24 gene candidates were put together in a putative pathway leading to the singular alkaloid diversity of this species. Conclusion: Overall, these results could contribute by indicating potential biotechnological targets formodulation of erythrina alkaloids biosynthesis as well as improve molecular databases with omic data from a non-model medicinal plant, and reveal an interesting chemical diversity of Erythrina BIA harvested in Caatinga

Establishment and cryptic transmission of Zika virus in Brazil and the Americas

University of Oxford. Department of Zoology, Oxford, UK / Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.University of Birmingham. Institute of Microbiology and Infection. Birmingham, UK.University of Oxford. Department of Zoology. Oxford UK.University of Oxford. Department of Zoology. Oxford, UK / Harvard Medical School. Boston, MA, USA / Boston Children's Hospital. Boston, MA, USA.University of Oxford. Department of Zoology. Oxford, UK.Fred Hutchinson Cancer Research Center. Vaccine and Infectious Disease Division. Seattle, WA, USA / University of Washington. Department of Epidemiology. Seattle, WA, USA.University of São Paulo. School of Medicine &Institute of Tropical Medicine. Department of Infectious Disease. São Paulo, SP, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.University of Oxford. Department of Statistics. Oxford, UK.University of Oxford. Department of Zoology. Oxford, UK.Institut Pasteur. Biostatistics and Integrative Biology. Mathematical Modelling of Infectious Diseases and Center of Bioinformatics. Paris, FR / Centre National de la Recherche Scientifique. Paris, FR.University of Oxford. Department of Zoology. Oxford, UK.Ministry of Health. Coordenação dos Laboratórios de Saúde. Brasília, DF, Brazil.Ministry of Health. Coordenação Geral de Vigilância e Resposta às Emergências em Saúde Pública. Brasília, DF, Brazil / Fundação Oswaldo Cruz. Center of Data and Knowledge Integration for Health. Salvador, BA, Brazil.Ministry of Health. Departamento de Vigilância das Doenças Transmissíveis. Brasilia, DF, Brazil.Ministry of Health. Coordenação Geral dos Programas de Controle e Prevenção da Malária e das Doenças Transmitidas pelo Aedes. Brasília, DF, Brazil / Pan American Health Organization (PAHO). Buenos Aires, AR.Ministry of Health. Coordenação Geral dos Programas de Controle e Prevenção da Malária e das Doenças Transmitidas pelo Aedes. Brasília, DF, Brazil / Fundação Oswaldo Cruz. Rio de Janeiro, RJ, Brazil.Ministry of Health. Coordenação Geral dos Programas de Controle e Prevenção da Malária e das Doenças Transmitidas pelo Aedes. Brasília, DF, BrazilMinistry of Health. Departamento de Vigilância das Doenças Transmissíveis. Brasilia, DF, Brazil.Ontario Institute for Cancer Research. Toronto, ON, Canada.University of Nottingham. Nottingham, UKThe Scripps Research Institute. Department of Immunology and Microbial Science. La Jolla, CA, USA.The Scripps Research Institute. Department of Immunology and Microbial Science. La Jolla, CA, USA.University of California. Departments of Laboratory Medicine and Medicine & Infectious Diseases. San Francisco, CA, USA.University of California. Departments of Laboratory Medicine and Medicine & Infectious Diseases. San Francisco, CA, USA.Instituto Mexicano del Seguro Social. División de Laboratorios de Vigilancia e Investigación Epidemiológica. Ciudad de México, MC.Instituto Mexicano del Seguro Social. División de Laboratorios de Vigilancia e Investigación Epidemiológica. Ciudad de México, MC.Universidad Nacional Autónoma de México. Instituto de Biotecnología. Cuernavaca, MC.Instituto Oswaldo Cruz. Rio de Janeiro, RJ, Brazil.Paul-Ehrlich-Institut. Langen, Germany.Laboratório Central de Saúde Pública Noel Nutels. Rio de Janeiro, RJ, Brazil.Laboratório Central de Saúde Pública Noel Nutels. Rio de Janeiro, RJ, Brazil.Laboratório Central de Saúde Pública Noel Nutels. Rio de Janeiro, RJ, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Fundação Oswaldo Cruz. Salvador, BA, Brazil.Laboratório Central de Saúde Pública. Natal, RN, Brazil.Laboratório Central de Saúde Pública. Natal, RN, Brazil / Universidade Potiguar. Natal, RN, Brazil.Laboratório Central de Saúde Pública. Natal, RN, Brazil / Faculdade Natalense de Ensino e Cultura. Natal, RN, Brazil.Laboratório Central de Saúde Pública. João Pessoa, PB, Brazil.Laboratório Central de Saúde Pública. João Pessoa, PB, Brazil.Laboratório Central de Saúde Pública. João Pessoa, PB, Brazil.Laboratório Central de Saúde Pública. João Pessoa, PB, Brazil.Fundação Oswaldo Cruz. Recife, PE, Brazil.Fundação Oswaldo Cruz. Recife, PE, Brazil.Fundação Oswaldo Cruz. Recife, PE, Brazil / Colorado State University. Department of Microbiology, Immunology &Pathology. Fort Collins, CO, USA.Fundação Oswaldo Cruz. Recife, PE, Brazil.Heidelberg University Hospital. Department for Infectious Diseases. Section Clinical Tropical Medicine. Heidelberg, Germany.Fundação Oswaldo Cruz. Recife, PE, Brazil.Laboratório Central de Saúde Pública. Maceió, AL, Brazil.Laboratório Central de Saúde Pública. Maceió, AL, Brazil.Laboratório Central de Saúde Pública. Maceió, AL, Brazil.Universidade Estadual de Feira de Santana. Feira de Santana, BA, Brazil.Secretaria de Saúde de Feira de Santana. Feira de Santana, BA, Brazil.Universidade Federal do Amazonas. Manaus, AM, Brazil.University of São Paulo. School of Medicine &Institute of Tropical Medicine. Department of Infectious Disease. São Paulo, SP, Brazil.University of São Paulo. School of Medicine &Institute of Tropical Medicine. Department of Infectious Disease. São Paulo, SP, Brazil.Hospital São Francisco. Ribeirão Preto, SP, Brazil.University of São Paulo. School of Medicine &Institute of Tropical Medicine. Department of Infectious Disease. São Paulo, SP, Brazil.Universidade Federal do Tocantins. Palmas, TO, Brazil.University of São Paulo. School of Medicine &Institute of Tropical Medicine. Department of Infectious Disease. São Paulo, SP, Brazil.University of Sydney. Sydney, Australia.University of Edinburgh. Institute of Evolutionary Biology. Edinburgh, UK / National Institutes of Health. Fogarty International Center. Bethesda, MD, USA.Fred Hutchinson Cancer Research Center. Vaccine and Infectious Disease Division. Seattle, WA, USA.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil / University of Texas Medical Branch. Department of Pathology. Galveston, TX, USA.University of São Paulo. School of Medicine &Institute of Tropical Medicine. Department of Infectious Disease. São Paulo, SP, Brazil.Fundação Oswaldo Cruz. Salvador, BA, Brazil.University of Birmingham. Institute of Microbiology and Infection. Birmingham, UK.University of Oxford. Department of Zoology, Oxford, UK / Metabiota. San Francisco, CA, USA.University of São Paulo. School of Medicine &Institute of Tropical Medicine. Department of Infectious Disease. São Paulo, SP, Brazil.Fundação Oswaldo Cruz. Salvador, BA, Brazil.Fundação Oswaldo Cruz. Salvador, BA, Brazil / University of Rome Tor Vergata. Rome, Italy.Transmission of Zika virus (ZIKV) in the Americas was first confirmed in May 2015 in northeast Brazil. Brazil has had the highest number of reported ZIKV cases worldwide (more than 200,000 by 24 December 2016) and the most cases associated with microcephaly and other birth defects (2,366 confirmed by 31 December 2016). Since the initial detection of ZIKV in Brazil, more than 45 countries in the Americas have reported local ZIKV transmission, with 24 of these reporting severe ZIKV-associated disease. However, the origin and epidemic history of ZIKV in Brazil and the Americas remain poorly understood, despite the value of this information for interpreting observed trends in reported microcephaly. Here we address this issue by generating 54 complete or partial ZIKV genomes, mostly from Brazil, and reporting data generated by a mobile genomics laboratory that travelled across northeast Brazil in 2016. One sequence represents the earliest confirmed ZIKV infection in Brazil. Analyses of viral genomes with ecological and epidemiological data yield an estimate that ZIKV was present in northeast Brazil by February 2014 and is likely to have disseminated from there, nationally and internationally, before the first detection of ZIKV in the Americas. Estimated dates for the international spread of ZIKV from Brazil indicate the duration of pre-detection cryptic transmission in recipient regions. The role of northeast Brazil in the establishment of ZIKV in the Americas is further supported by geographic analysis of ZIKV transmission potential and by estimates of the basic reproduction number of the virus

Neotropical freshwater fisheries : A dataset of occurrence and abundance of freshwater fishes in the Neotropics

The Neotropical region hosts 4225 freshwater fish species, ranking first among the world's most diverse regions for freshwater fishes. Our NEOTROPICAL FRESHWATER FISHES data set is the first to produce a large-scale Neotropical freshwater fish inventory, covering the entire Neotropical region from Mexico and the Caribbean in the north to the southern limits in Argentina, Paraguay, Chile, and Uruguay. We compiled 185,787 distribution records, with unique georeferenced coordinates, for the 4225 species, represented by occurrence and abundance data. The number of species for the most numerous orders are as follows: Characiformes (1289), Siluriformes (1384), Cichliformes (354), Cyprinodontiformes (245), and Gymnotiformes (135). The most recorded species was the characid Astyanax fasciatus (4696 records). We registered 116,802 distribution records for native species, compared to 1802 distribution records for nonnative species. The main aim of the NEOTROPICAL FRESHWATER FISHES data set was to make these occurrence and abundance data accessible for international researchers to develop ecological and macroecological studies, from local to regional scales, with focal fish species, families, or orders. We anticipate that the NEOTROPICAL FRESHWATER FISHES data set will be valuable for studies on a wide range of ecological processes, such as trophic cascades, fishery pressure, the effects of habitat loss and fragmentation, and the impacts of species invasion and climate change. There are no copyright restrictions on the data, and please cite this data paper when using the data in publications

NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora