Genome of Herbaspirillum seropedicae Strain SmR1, a Specialized Diazotrophic Endophyte of Tropical Grasses

The molecular mechanisms of plant recognition, colonization, and nutrient exchange between diazotrophic endophytes and plants are scarcely known. Herbaspirillum seropedicae is an endophytic bacterium capable of colonizing intercellular spaces of grasses such as rice and sugar cane. The genome of H. seropedicae strain SmR1 was sequenced and annotated by The Paraná State Genome Programme—GENOPAR. The genome is composed of a circular chromosome of 5,513,887 bp and contains a total of 4,804 genes. The genome sequence revealed that H. seropedicae is a highly versatile microorganism with capacity to metabolize a wide range of carbon and nitrogen sources and with possession of four distinct terminal oxidases. The genome contains a multitude of protein secretion systems, including type I, type II, type III, type V, and type VI secretion systems, and type IV pili, suggesting a high potential to interact with host plants. H. seropedicae is able to synthesize indole acetic acid as reflected by the four IAA biosynthetic pathways present. A gene coding for ACC deaminase, which may be involved in modulating the associated plant ethylene-signaling pathway, is also present. Genes for hemagglutinins/hemolysins/adhesins were found and may play a role in plant cell surface adhesion. These features may endow H. seropedicae with the ability to establish an endophytic life-style in a large number of plant species

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

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

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

Influência de silicato e calcário na decomposição de resíduos culturais e disponibilidade de nutrientes ao feijoeiro

A disponibilidade do Si pelo silicato de Ca poderá aumentar a formação de polifenóis, os quais tornariam possível a maior persistência dos resíduos culturais em superfície. Com esse intuito, procurou-se avaliar a ação do silicato e do calcário na decomposição de diferentes resíduos culturais e a liberação de nutrientes para o desenvolvimento do feijoeiro. O delineamento experimental empregado foi o de blocos casualizados em esquema fatorial 3 x 5, com quatro repetições. Os tratamentos foram constituídos de três espécies de plantas de cobertura: milheto (Pennisetum americanum), braquiária (Brachiaria brizantha) e guandu-anão (Cajanus cajan L.) e cinco níveis proporcionais de silicato de cálcio: 0, 25, 50, 75 e 100 %, aplicado nas doses crescentes de 0, 2,31, 4,63, 6,96 e 9,27 g/vaso, respectivamente, balanceadas com carbonato de cálcio e carbonato de magnésio, de forma que as quantidades de Ca e Mg em cada tratamento fossem iguais, calculados para atingir uma saturação por bases no solo de 70 %. A aplicação de silicato de Ca não interferiu na decomposição do resíduo cultural de braquiária, guandu e milheto. O teor de Mg disponível no solo foi reduzido pela aplicação de silicato de Ca, o que induz menor absorção pelas plantas de cobertura e eventual disponibilização após sua decomposição. O crescimento do feijoeiro foi favorecido pela aplicação de silicato de Ca, sendo as doses de 2,31 e 6,95 g/vaso de silicato com o resíduo cultural de braquiária os tratamentos que apresentaram maior eficiência.Si made available by Ca silicate can increase polyphenol formation, which could increase the persistence of crop residues on the soil surface. The present study evaluated the effect of silicate and lime on decomposition of different crop residues and the nutrient release for the development of common bean plants. An experimental design in randomized blocks, arranged as a 3 x 5 factorial combination, was used with four replications. Treatments consisted of three cover plant species: millet (Pennisetum americanum), brachiaria (Brachiaria brizantha), and pigeon pea (Cajanus cajan L.), and five proportional Ca silicate levels: 0, 25, 50, 75, and 100 %, applied at increasing doses of 0, 2.31, 4.63, 6.96, and 9.27 g/pot, balanced with Ca carbonate and magnesium carbonate so that the Ca and Mg amounts in each treatment were identical, and calculated to achieve a soil base saturation of 70 %. The application of Ca silicate did not affect Brachiaria, pigeon pea, and millet crop residue decomposition. The available soil Mg content was reduced by Ca silicate applications, leading to lower Mg uptake by the cover plants and eventually becoming less available after residue decomposition. Bean growth benefited from the application of Ca silicate, and the efficiency was higher for doses varying from 25-75 % silicate in association with Brachiaria crop residues

Prenatal assessment of high-risk pregnancies in primary and specialized outpatient care: a mixed study

ABSTRACT Objectives: to assess high-risk prenatal care and identify strategies for improving care. Methods: a mixed study of a prospective cohort, with 319 mothers in a public maternity hospital, from October 2016 to August 2017, using a semi-structured instrument and interview. Analysis was performed using the chi-square test (p≤0.05). The qualitative approach was carried out through interviews with guiding questions to 13 managers, at their workplace, between January and March 2020, analyzed under social phenomenology. Results: higher rates of inadequacy were identified for all criteria. However, when care was shared, there was a higher rate for performing tests (p=0.023), consultations (p=0.002), risk stratification (p=0.013) and emergency information (≤0.000). Weaknesses in the record evidenced impairment in communication and continuity of care. Final Considerations: shared care is a strategy for improving care, however there is a need to strengthen effective referral and counter-referral to care continuity