Generation and validation of genetic markers for the selection of carioca dry bean genotypes with the slow-darkening seed coat trait

Slow darkening (SD) is a trait that helps to maintain a brighter seed coat appearance in certain market classes of dry beans. The aim of this study was to generate new fluorescence-based markers and validate previously identified microsatellite markers for linkage to the SD trait in lines of the carioca market class. Four segregating populations were generated by Embrapa, the Brazilian Agricultural Research Corporation, from crosses between the SD cultivar BRSMG Madrepe´rola and the regular-darkening cultivars BRS Estilo, BRS Cometa, BRS Nota´vel and BRS Sublime. These populations were screened with the simple-sequence markers Pvsd- 1158 and PVM02TC116 and with a TaqManTM marker designed for the single-nucleotide polymorphism (SNP) PvbHLHp12804. A KASP marker was also designed for the PvbHLHp12804 marker for testing on advanced carioca lines developed by the University of Saskatchewan. In the carioca lines developed by Embrapa, PVM02TC116 proved unsuitable for marker-assisted selection (MAS). Both the Pvsd-1158 and PvbHLHp12804 markers were found to be tightly linked to the gene responsible for the SD trait, with genetic distances calculated at 2.8 cM for Pvsd-1158 and 2.0 and 3.1 cM for PvbbHLHp12804, respectively. These markers presented more than 97% of selection efficiency. The genotypic scoring using the PvbHLHp12804 KASP marker was perfectly correlated with the phenotype in all lines of the University of Saskatchewan. The results of this study validates the use of Pvsd-1158 as a gel-based marker for SD in carioca beans. The new fluorescence-based SNP PvbHLHp12804 markers exhibited very tight linkage to SD in carioca and pinto bean lines. These markers will be ideal for MAS for the SD trait in these market classes

Rarity of monodominance in hyperdiverse Amazonian forests.

Tropical forests are known for their high diversity. Yet, forest patches do occur in the tropics where a single tree species is dominant. Such "monodominant" forests are known from all of the main tropical regions. For Amazonia, we sampled the occurrence of monodominance in a massive, basin-wide database of forest-inventory plots from the Amazon Tree Diversity Network (ATDN). Utilizing a simple defining metric of at least half of the trees ≥ 10 cm diameter belonging to one species, we found only a few occurrences of monodominance in Amazonia, and the phenomenon was not significantly linked to previously hypothesized life history traits such wood density, seed mass, ectomycorrhizal associations, or Rhizobium nodulation. In our analysis, coppicing (the formation of sprouts at the base of the tree or on roots) was the only trait significantly linked to monodominance. While at specific locales coppicing or ectomycorrhizal associations may confer a considerable advantage to a tree species and lead to its monodominance, very few species have these traits. Mining of the ATDN dataset suggests that monodominance is quite rare in Amazonia, and may be linked primarily to edaphic factors

Draft genome sequence of Wickerhamomyces anomalus LBCM1105, isolated from cachaça fermentation

Wickerhamomyces anomalus LBCM1105 is a yeast isolated from cachaça distillery fermentation vats, notable for exceptional glycerol consumption ability. We report its draft genome with 20.5x in-depth coverage and around 90% extension and completeness. It harbors the sequences of proteins involved in glycerol transport and metabolism.The authors gratefully acknowledge Laboratorio Nacional de Ciencia e Tecnologia do Bioetanol (CTBE) and the Centro Nacional de Pesquisa em Energia e Materiais (CNPEM) for support with the sequencing of LBCM1105. This work was supported by CAPES/Brazil (PNPD 2755/2011; PCF-PVE 021/2012), by CNPq (Brazil), processes 304815/2012 (research grant) and 305135/2015-5, and by AUXPE-PVES 1801/2012 (Process 23038.015294/2016-18) from Brazilian Government and by UFOP. C.L. is supported by the strategic program UID/BIA/04050/2013 [POCI-01-0145-FEDER-007569] funded by national funds through the FCT I.P. and by the ERDF through the COMPETE2020 - Programa Operacional de Competitividade e Internacionalizacao (POCI). DMRP is a fellow from the CNPq (Conselho Nacional de Desenvolvimento Cientifico e Tecnologico) - Brazil (310080/2018-5)

A joint learning approach for genomic prediction in polyploid grasses.

Poaceae, among the most abundant plant families, includes many economically important polyploid species, such as forage grasses and sugarcane (Saccharum spp.). These species have elevated genomic complexities and limited genetic resources, hindering the application of marker-assisted selection strategies. Currently, the most promising approach for increasing genetic gains in plant breeding is genomic selection. However, due to the polyploidy nature of these polyploid species, more accurate models for incorporating genomic selection into breeding schemes are needed. This study aims to develop a machine learning method by using a joint learning approach to predict complex traits from genotypic data. Biparental populations of sugarcane and two species of forage grasses (Urochloa decumbens, Megathyrsus maximus) were genotyped, and several quantitative traits were measured. High-quality markers were used to predict several traits in diferent cross-validation scenarios. By combining classifcation and regression strategies, we developed a predictive system with promising results. Compared with traditional genomic prediction methods, the proposed strategy achieved accuracy improvements exceeding 50%. Our results suggest that the developed methodology could be implemented in breeding programs, helping reduce breeding cycles and increase genetic gains

Simple to be Useful: Ecosystem Base for Coastal Management

Os processos de Gerenciamento Costeiro (GC) nas últimas décadas vêm evoluindo, apresentando diferentes métodos de gestão, sendo que uma nova fronteira se encontra na Gestão com Base Ecossistêmica (GBE). No entanto, para colocar em prática a GBE, a qual leva em consideração as funções, os processos e os serviços ecossistêmicos dos ambientes costeiros e marinhos, entendendo-os como um conjunto de ecossistemas compostos por elementos ecológicos (naturais), econômicos e sociais, se faz necessária a base de informação ecossistêmica. O presente trabalho propõe, apresentando resultados aplicados, um roteiro metodológico de seis etapas: 1. Identificar os ecossistemas como “Unidades de Gestão”; 2. Mapear, modelar e simular os ecossistemas; 3. Identificar e classificar os serviços ecossistêmicos; 4. Definir os valores e a qualidade dos serviços; 5. Identificar os espaços de gestão; e 6. Integrar com políticas e demais instrumentos de gestão e legais. As aplicações práticas apresentadas vão desde trabalhos acadêmicos de identificação e caracterização de ambientes costeiros e marinhos a aplicações nos processos de gestão ambiental portuários, passando também pelo desenvolvimento de Zoneamentos Ecológico-Econômicos (ZEEs) em nível regional, por exemplo. Na apreciação integral do conjunto de exemplos e iniciativas para todas as etapas do modelo, depreende-se que a sua aplicação é ampla, variada e consideravelmente simples. Da mesma forma, a multiplicidade de possíveis aplicações do modelo em ações voltadas ao suporte de uma GBE sugere que seu uso pode crescer e buscar iniciativas inovadoras. A expectativa dos autores é de que tal ferramenta possa, de fato, delinear e estimular pesquisas e aplicações com base ecossistêmica na busca da sustentabilidade da costa e do bem-estar de seus atores sociais.In the last decades Coastal Management (CM) processes have been evolving, presenting different management methods, and the new frontier is at the so-called Ecosystem Based Management (EBM). However, to put into practice EBM, which takes into account ecosystem functions, processes and services of coastal and marine environments, understanding them as a set of ecosystems composed of ecological (natural), economic and social elements, it is necessary an ecosystem-based information. The present work proposes, presenting practical results, a methodological path of six stages: 1. Identification of ecosystems as "Management Units"; 2. Mapping, modeling and simulating ecosystems and their connections; 3. Identification and classification of ecosystem services; 4. Definition of values and quality of services; 5. Identification of related management procedures; and 6. Integration with policies and other management and legal tools. The concrete applications range from academic studies of identification and characterization of coastal and marine environments, to port’s environmental management processes, and the development of ecological-economic zoning at regional level, for example. In the full appreciation of the set of examples and initiatives for all stages of the model, it can be concluded that its application is wide, varied and considerably simple. Likewise, the multiplicity of possible applications of the model in practical actions aimed to support of an EBM, suggests that its use can grow and pursue innovative initiatives. The authors' expectation is that such a tool may, in fact, delineate and stimulate research and applications based on ecosystems in the quest for the sustainability of the coast and the well-being of its social actors

Geographic patterns of tree dispersal modes in Amazonia and their ecological correlates

Unidad de excelencia María de Maeztu CEX2019-000940-MAim: To investigate the geographic patterns and ecological correlates in the geographic distribution of the most common tree dispersal modes in Amazonia (endozoochory, synzoochory, anemochory and hydrochory). We examined if the proportional abundance of these dispersal modes could be explained by the availability of dispersal agents (disperser-availability hypothesis) and/or the availability of resources for constructing zoochorous fruits (resource-availability hypothesis). Time period: Tree-inventory plots established between 1934 and 2019. Major taxa studied: Trees with a diameter at breast height (DBH) ≥ 9.55 cm. Location: Amazonia, here defined as the lowland rain forests of the Amazon River basin and the Guiana Shield. Methods: We assigned dispersal modes to a total of 5433 species and morphospecies within 1877 tree-inventory plots across terra-firme, seasonally flooded, and permanently flooded forests. We investigated geographic patterns in the proportional abundance of dispersal modes. We performed an abundance-weighted mean pairwise distance (MPD) test and fit generalized linear models (GLMs) to explain the geographic distribution of dispersal modes. Results: Anemochory was significantly, positively associated with mean annual wind speed, and hydrochory was significantly higher in flooded forests. Dispersal modes did not consistently show significant associations with the availability of resources for constructing zoochorous fruits. A lower dissimilarity in dispersal modes, resulting from a higher dominance of endozoochory, occurred in terra-firme forests (excluding podzols) compared to flooded forests. Main conclusions: The disperser-availability hypothesis was well supported for abiotic dispersal modes (anemochory and hydrochory). The availability of resources for constructing zoochorous fruits seems an unlikely explanation for the distribution of dispersal modes in Amazonia. The association between frugivores and the proportional abundance of zoochory requires further research, as tree recruitment not only depends on dispersal vectors but also on conditions that favour or limit seedling recruitment across forest types

Local hydrological conditions influence tree diversity and composition across the Amazon basin

Tree diversity and composition in Amazonia are known to be strongly determined by the water supplied by precipitation. Nevertheless, within the same climatic regime, water availability is modulated by local topography and soil characteristics (hereafter referred to as local hydrological conditions), varying from saturated and poorly drained to well-drained and potentially dry areas. While these conditions may be expected to influence species distribution, the impacts of local hydrological conditions on tree diversity and composition remain poorly understood at the whole Amazon basin scale. Using a dataset of 443 1-ha non-flooded forest plots distributed across the basin, we investigate how local hydrological conditions influence 1) tree alpha diversity, 2) the community-weighted wood density mean (CWM-wd) – a proxy for hydraulic resistance and 3) tree species composition. We find that the effect of local hydrological conditions on tree diversity depends on climate, being more evident in wetter forests, where diversity increases towards locations with well-drained soils. CWM-wd increased towards better drained soils in Southern and Western Amazonia. Tree species composition changed along local soil hydrological gradients in Central-Eastern, Western and Southern Amazonia, and those changes were correlated with changes in the mean wood density of plots. Our results suggest that local hydrological gradients filter species, influencing the diversity and composition of Amazonian forests. Overall, this study shows that the effect of local hydrological conditions is pervasive, extending over wide Amazonian regions, and reinforces the importance of accounting for local topography and hydrology to better understand the likely response and resilience of forests to increased frequency of extreme climate events and rising temperatures