A novel linkage map of sugarcane with evidence for clustering of retrotransposon-based markers

The development of sugarcane as a sustainable crop has unlimited applications. The crop is one of the most economically viable for renewable energy production, and CO2 balance. Linkage maps are valuable tools for understanding genetic and genomic organization, particularly in sugarcane due to its complex polyploid genome of multispecific origins. The overall objective of our study was to construct a novel sugarcane linkage map, compiling AFLP and EST-SSR markers, and to generate data on the distribution of markers anchored to sequences of scIvana_1, a complete sugarcane transposable element, and member of the Copia superfamily. The mapping population parents (‘IAC66-6’ and ‘TUC71-7’) contributed equally to polymorphisms, independent of marker type, and generated markers that were distributed into nearly the same number of co-segregation groups (or CGs). Bi-parentally inherited alleles provided the integration of 19 CGs. The marker number per CG ranged from two to 39. The total map length was 4,843.19 cM, with a marker density of 8.87 cM. Markers were assembled into 92 CGs that ranged in length from 1.14 to 404.72 cM, with an estimated average length of 52.64 cM. The greatest distance between two adjacent markers was 48.25 cM. The scIvana_1-based markers (56) were positioned on 21 CGs, but were not regularly distributed. Interestingly, the distance between adjacent scIvana_1-based markers was less than 5 cM, and was observed on five CGs, suggesting a clustered organization. Results indicated the use of a NBS-profiling technique was efficient to develop retrotransposon-based markers in sugarcane. The simultaneous maximum-likelihood estimates of linkage and linkage phase based strategies confirmed the suitability of its approach to estimate linkage, and construct the linkage map. Interestingly, using our genetic data it was possible to calculate the number of retrotransposon scIvana_1 (~60) copies in the sugarcane genome, confirming previously reported molecular results. In addition, this research possibly will have indirect implications in crop economics e.g., productivity enhancement via QTL studies, as the mapping population parents differ in response to an important fungal disease13CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQCOORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPESFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPnão temnão tem2010/51708-

The value of manure - Manure as co-product in life cycle assessment

Research ArticleLivestock production is important for food security, nutrition, and landscape maintenance, but it is associated with several environmental impacts. To assess the risk and benefits arising from livestock production, transparent and robust indicators are required, such as those offered by life cycle assessment. A central question in such approaches is how environmental burden is allocated to livestock products and to manure that is re-used for agricultural production. To incentivize sustainable use of manure, it should be considered as a co-product as long as it is not disposed of, or wasted, or applied in excess of crop nutrient needs, in which case it should be treated as a waste. This paper proposes a theoretical approach to define nutrient requirements based on nutrient response curves to economic and physical optima and a pragmatic approach based on crop nutrient yield adjusted for nutrient losses to atmosphere and water. Allocation of environmental burden to manure and other livestock products is then based on the nutrient value from manure for crop production using the price of fertilizer nutrients. We illustrate and discuss the proposed method with two case studiesinfo: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 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

Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK.

BACKGROUND: A safe and efficacious vaccine against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), if deployed with high coverage, could contribute to the control of the COVID-19 pandemic. We evaluated the safety and efficacy of the ChAdOx1 nCoV-19 vaccine in a pooled interim analysis of four trials. METHODS: This analysis includes data from four ongoing blinded, randomised, controlled trials done across the UK, Brazil, and South Africa. Participants aged 18 years and older were randomly assigned (1:1) to ChAdOx1 nCoV-19 vaccine or control (meningococcal group A, C, W, and Y conjugate vaccine or saline). Participants in the ChAdOx1 nCoV-19 group received two doses containing 5 × 1010 viral particles (standard dose; SD/SD cohort); a subset in the UK trial received a half dose as their first dose (low dose) and a standard dose as their second dose (LD/SD cohort). The primary efficacy analysis included symptomatic COVID-19 in seronegative participants with a nucleic acid amplification test-positive swab more than 14 days after a second dose of vaccine. Participants were analysed according to treatment received, with data cutoff on Nov 4, 2020. Vaccine efficacy was calculated as 1 - relative risk derived from a robust Poisson regression model adjusted for age. Studies are registered at ISRCTN89951424 and ClinicalTrials.gov, NCT04324606, NCT04400838, and NCT04444674. FINDINGS: Between April 23 and Nov 4, 2020, 23 848 participants were enrolled and 11 636 participants (7548 in the UK, 4088 in Brazil) were included in the interim primary efficacy analysis. In participants who received two standard doses, vaccine efficacy was 62·1% (95% CI 41·0-75·7; 27 [0·6%] of 4440 in the ChAdOx1 nCoV-19 group vs71 [1·6%] of 4455 in the control group) and in participants who received a low dose followed by a standard dose, efficacy was 90·0% (67·4-97·0; three [0·2%] of 1367 vs 30 [2·2%] of 1374; pinteraction=0·010). Overall vaccine efficacy across both groups was 70·4% (95·8% CI 54·8-80·6; 30 [0·5%] of 5807 vs 101 [1·7%] of 5829). From 21 days after the first dose, there were ten cases hospitalised for COVID-19, all in the control arm; two were classified as severe COVID-19, including one death. There were 74 341 person-months of safety follow-up (median 3·4 months, IQR 1·3-4·8): 175 severe adverse events occurred in 168 participants, 84 events in the ChAdOx1 nCoV-19 group and 91 in the control group. Three events were classified as possibly related to a vaccine: one in the ChAdOx1 nCoV-19 group, one in the control group, and one in a participant who remains masked to group allocation. INTERPRETATION: ChAdOx1 nCoV-19 has an acceptable safety profile and has been found to be efficacious against symptomatic COVID-19 in this interim analysis of ongoing clinical trials. FUNDING: UK Research and Innovation, National Institutes for Health Research (NIHR), Coalition for Epidemic Preparedness Innovations, Bill & Melinda Gates Foundation, Lemann Foundation, Rede D'Or, Brava and Telles Foundation, NIHR Oxford Biomedical Research Centre, Thames Valley and South Midland's NIHR Clinical Research Network, and AstraZeneca

Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK

Background A safe and efficacious vaccine against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), if deployed with high coverage, could contribute to the control of the COVID-19 pandemic. We evaluated the safety and efficacy of the ChAdOx1 nCoV-19 vaccine in a pooled interim analysis of four trials. Methods This analysis includes data from four ongoing blinded, randomised, controlled trials done across the UK, Brazil, and South Africa. Participants aged 18 years and older were randomly assigned (1:1) to ChAdOx1 nCoV-19 vaccine or control (meningococcal group A, C, W, and Y conjugate vaccine or saline). Participants in the ChAdOx1 nCoV-19 group received two doses containing 5 × 1010 viral particles (standard dose; SD/SD cohort); a subset in the UK trial received a half dose as their first dose (low dose) and a standard dose as their second dose (LD/SD cohort). The primary efficacy analysis included symptomatic COVID-19 in seronegative participants with a nucleic acid amplification test-positive swab more than 14 days after a second dose of vaccine. Participants were analysed according to treatment received, with data cutoff on Nov 4, 2020. Vaccine efficacy was calculated as 1 - relative risk derived from a robust Poisson regression model adjusted for age. Studies are registered at ISRCTN89951424 and ClinicalTrials.gov, NCT04324606, NCT04400838, and NCT04444674. Findings Between April 23 and Nov 4, 2020, 23 848 participants were enrolled and 11 636 participants (7548 in the UK, 4088 in Brazil) were included in the interim primary efficacy analysis. In participants who received two standard doses, vaccine efficacy was 62·1% (95% CI 41·0–75·7; 27 [0·6%] of 4440 in the ChAdOx1 nCoV-19 group vs71 [1·6%] of 4455 in the control group) and in participants who received a low dose followed by a standard dose, efficacy was 90·0% (67·4–97·0; three [0·2%] of 1367 vs 30 [2·2%] of 1374; pinteraction=0·010). Overall vaccine efficacy across both groups was 70·4% (95·8% CI 54·8–80·6; 30 [0·5%] of 5807 vs 101 [1·7%] of 5829). From 21 days after the first dose, there were ten cases hospitalised for COVID-19, all in the control arm; two were classified as severe COVID-19, including one death. There were 74 341 person-months of safety follow-up (median 3·4 months, IQR 1·3–4·8): 175 severe adverse events occurred in 168 participants, 84 events in the ChAdOx1 nCoV-19 group and 91 in the control group. Three events were classified as possibly related to a vaccine: one in the ChAdOx1 nCoV-19 group, one in the control group, and one in a participant who remains masked to group allocation. Interpretation ChAdOx1 nCoV-19 has an acceptable safety profile and has been found to be efficacious against symptomatic COVID-19 in this interim analysis of ongoing clinical trials

RNAseq based transcriptome analysis and identification of sugarcane genes expressed in response to Sporisorium scitamineum, the causal agent of smut

A cana-de-açúcar (Saccharum spp.) é uma importante cultura agrícola, sendo hospedeira de vários patógenos, incluindo o fungo biotrófico Sporisorium scitamineum, agente causal do carvão. A doença reduz a produtividade das lavouras de cana e a qualidade de seus produtos, sendo reconhecida pelo desenvolvimento de uma estrutura em forma de chicote, onde os teliósporos são produzidos. O objetivo deste estudo foi analisar o transcritoma da interação cana-de-açúcar - S. scitamineum, visando a identificação de genes do hospedeiro diferencialmente expressos em resposta à infecção fúngica. Gemas da variedade tolerante \'RB92-5345\' foram inoculadas com S. scitamineum e mantidas em casa de vegetação para a coleta das amostras, em dois momentos: 120 h após a inoculação, e no momento da emissão do chicote, aos 200 dias após a inoculação. Foram construídas 12 bibliotecas com base na abordagem RNAseq. Três estratégias computacionais foram utilizadas nas etapas de mapeamento e análise da expressão diferencial de genes da cana: (i) STAR e DESeq, tomando como referência o genoma do sorgo; (ii) Bowtie 2 e DESeq, e (iii) CLC Genomics Workbench, tomando como referência as sequências codificadoras (CDS) do sorgo. Diagramas de Venn foram construídos para identificar genes diferencialmente expressos comuns às três estratégias computacionais, aumentando a acurácia das análises. Para a anotação, foi usada a ferramenta BLAST2GO. Foram obtidos 225 milhões de reads; dentre os 185 milhões usados no mapeamento, 66% foram mapeados em genes e 51% nas CDS. Aproximadamente 77% dos genes e 87% das CDS mapeados apresentaram atividade transcricional (pelo menos um read mapeado), sob as condições do experimento, em ambos os momentos da interação. Um total de 596 e 2.148 genes diferencialmente expressos foram identificados nas respostas iniciais e tardias à infecção, respectivamente; para 79% deles foi possível atribuir uma função. Pelas intersecções, 41 (resposta inicial) e 206 (resposta tardia) genes foram comuns às três estratégias. Sugere-se que a planta percebe o patógeno no início da interação, porém o fungo é capaz de suprimir a resposta de defesa vegetal. Propõe-se que há uma reprogramação da expressão gênica defesa-orientada, favorecendo o desenvolvimento da planta, mesmo com a doença instalada. A expressão de genes relacionados à resistência, às vias de hormônios e com a formação da parede celular (além de inibidores de proteínas fúngicas) sugerem que a planta se empenha drasticamente para sobreviver após 200 dias de interação. Decifrando os perfis do transcritoma da cana na interação com S. scitamineum, este trabalho deve contribuir para o melhor entendimento dos mecanismos de resistência ao carvão.Sugarcane (Saccharum spp.) is an important crop, and hosts several pathogens, including the biotrophic fungus Sporisorium scitamineum, the causal agent of smut. The disease reduces the sugarcane crop yield and the quality of its products, and is recognized by the development of a whip-like structure, where teliospores are produced. The objective of this study was to analyze the transcriptome of sugarcane - S. scitamineum interaction and to identify differentially expressed genes from the host in response to fungal infection. Buds of the tolerant variety \'RB92-5345\' were inoculated with S. scitamineum and maintained in a greenhouse for two sampling interaction moments: 120 h after inoculation, and at the moment of the whip emission, 200 days after inoculation. Twelve libraries were constructed based on RNAseq approach. Three computational strategies were used in the mapping step and differential expression analysis of sugarcane genes: (i) STAR and DESeq, using as reference the sorghum genome; (ii) Bowtie 2 and DESeq, and (iii) CLC Genomics Workbench, using as reference the coding sequences (CDS) from sorghum. Venn diagrams were created to identify differential expressed genes that were common to the three computational strategies, thus increasing the analysis accuracy. For annotation, the BLAST2GO tool was used. We have obtained 225 million reads; out of the 185 million reads used for mapping, 66% were mapped to genes and 51% to CDS. Approximately 77% and 87% of the mapped genes and CDS respectively showed transcriptional activity (at least one read was mapped) under the experimental conditions at both interaction moments. A total of 596 and 2,148 differentially expressed genes were identified at early and late responses to the infection, respectively; it was possible to attribute function to 79% of them. Through intersectioning, 41 (early response) and 206 (late response) genes were found to be common to the three strategies. It is suggested that the plant recognizes the pathogen at the beginning of interaction period, though the fungal is able to suppress the host defense response. It is also proposed that a defense-oriented transcriptional reprogramming takes place, supporting plant development even with the disease setting. The expression of genes related to resistance, hormone pathways, and cell wall formation (as well as inhibitors of fungal proteins) suggests that the plant makes exceptional efforts to survive after 200 days of interaction. Deciphering the sugarcane transcriptome profile during the interaction with S. scitamineum, this study should contribute to a better understanding of the resistance mechanisms to the smut

Genetic mapping of AFLP and retrotransposon-derived markers in sugarcane (Saccharum spp.)

No presente trabalho, AFLPs e marcadores baseados em retrotransposons foram utilizados para a construção de um mapa de ligação integrado em cana-de-açúcar. Dois retrotransposons encontrados no genoma da cana-de-açúcar, denominados SURE e Garapa, foram estudados. Os princípios da técnica NBS-profiling foram usados para gerar marcadores direcionados às sequências desses retrotransposons. Os marcadores foram analisados numa população F1 de cana-de-açúcar, composta por 188 indivíduos, oriunda do cruzamento entre os genitores IAC66-6 e TUC71-7. O mapa integrado foi construído usando-se o software OneMap, especialmente desenvolvido para mapear espécies não endogâmicas. Excelentes padrões de AFLP e de marcas direcionadas ao retrotransposon SURE foram obtidos; entretanto, para o Garapa, ainda são necessários ajustes na técnica. Um total de 600 marcadores de dose única foi obtido a partir de 22 combinações de enzimas de restrição/primers de AFLP e seis combinações otimizadas para amplificar marcas direcionadas ao retrotransposon SURE. Construiu-se um mapa com 107 grupos de ligação, com tamanho de 4.316,5 cM e densidade de 8,74 cM/marcador. O mapeamento dos marcadores derivados do retrotransposon SURE revelou que esse elemento não está uniformemente distribuído nos grupos de ligação e confirmou o seu baixo número de cópias no genoma da cana, conforme foi sugerido na literatura.In the presenty study, AFLPs and retrotransposon-based markers were used for the construction of an integrated linkage map of sugarcane. Two retrotransposons described in the sugarcane genome, named SURE and Garapa were studied. The principles of NBS-profiling technique were used to generate markers based on these retrotransposon sequences. The markers were analyzed in a F1-population, composed of 188 individuals, derived from a single cross between the IAC66-6 and TUC71-7 parents. The integrated genetic map was constructed using the software OneMap, specially designed for mapping outcrossing species. Excellent gel profiles of AFLP and retrotransposon-derived markers were obtained; however, for the Garapa element, technical adjustments are still needed. A total of 600 single-dose markers were obtained from 22 AFLP restriction enzyme/primer combinations and six combinations optimized to amplify the SURE-based markers. A map with 107 linkage groups was constructed, spanning 4,316.5 cM, with a marker density of 8.74 cM. Mapping of SURE-based markers revealed that this element is not uniformly distributed across the linkage groups, and confirmed its low copy number in the sugarcane genome, as suggested in the literature