Herencia de la resistencia al complejo cercospora spp. en líneas de maíz tropical

Se evaluó un diseño dialélico (Griffing Modelo 1) entre 10 líneas endogámicas de maíz tropical contrastantes en su reacción a Cercospora spp. (5 tolerantes y 5 susceptibles), en tres localidades en lotes bajo siembra directa, con presencia natural del patógeno e inoculación artificial, para la variable índice de enfermedad (escala 1 a 5). En el análisis de varianza, por localidad y combinado, los efectos de habilidad combinatoria general (hcg), habilidad combinatoria específica (hce), y recíprocos resultaron altamente significativos; siendo and gt;10 veces mayor los efectos de la hcg que los de hce, indicando predominio de la acción genética aditiva. Resultados también sugieren que la resistencia está controlada por efectos maternos o de citoplasma. La acumulación de genes de resistencia y la conformación de variedades sintéticas tolerantes es una alternativa a implementar en programas del mejoramiento de resistencia a Cercospora de maíces tropicales. ABSTRACT Inheritance of resistance to Cercospora Complex in tropical maize (zea mays) inbred lines. Inheritance of resistance to the maize disease complex caused by Cercospora spp on tropical maize was studied by generating and evaluating a diallel mating model (Griffing model I) using ten corn inbred lines with contrasting levels of disease reaction (5 tolerant and 5 susceptible). Parental lines and their crosses, both direct and reciprocal, were evaluated in three locations using conservation tillage and inoculated artificially with inoculum prepared using a mixture of foliar maize diseases collected from several farmer’s fields. Analysis of variance for the variable index of disease (scale 1 to 5), both locality and combined, the general combining ability (hcg), specific combining ability (hce), and reciprocal effects were highly significant, with the hcg portion being and gt;10 times greater than the hce component, indicating that the genetic action is predominantly additive. Data collected suggested that maternal or cytoplasmic effects are important in controlling disease resistance. Accumulation of resistance genes through the development of synthetic varieties is an alternative to be implemented in maize breeding programs workin towards the development of gray leaf spot resistant tropical maize germplasm. Key words: Zea mays, Cercospora zeae maydis, gray leaf spot of maize, diallel mating, general combining ability, specific combining ability, reciprocal effects

Comparison of the performance of synthetic maize varieties created based on either genetic distance or general combining ability of the parents

Synthetics varieties are grown by farmers and used by breeders to select new inbred lines. In countries unable to market hybrids, use of synthetics leads to yield improvements over landraces. Synthetics are derived from intercrossing inbred lines known to possess high general combining ability (GCA) as measured via crossing with testers and phenotyping for yield in multiple environments. Genetic similarity (GS) between lines measured by molecular markers may efficiently estimate GCA. Although the prediction of specific combining ability (SCA) of lines via GS has not been successful, it may have potential to predict the suitability of lines to form a synthetic variety. As this has not been reported, the objective of this research was to compare the performance of four synthetic maize varieties developed using GS calculated between parents using SSR markers with the performance of synthetics developed using GCA based on yield. Synthetics were phenotyped for yield and other agronomic traits in replicated field trials in several environments. The two synthetics formed based on low GS (0.34 and 0.33) performed better than all other synthetics in yield and most agronomic traits. The synthetics formed based on high GS (0.77 and 0.53), performed worst for nearly all traits. The GCA-based synthetics were generally intermediate for all traits. Response of synthetics to environmental variation and efficiencies gained via use of molecular markers in synthetic formation is discussed

Evaluación de poblaciones f2 de maíz de alta calidad de proteína en los llanos orientales de colombia

Doscientas cincuenta y tres familias F2 de alta calidad de proteína (ACP) provenientes del CIMMYT (Centro Internacional de Mejoramiento de Maíz y Trigo) fueron evaluadas en dos ensayos diferentes en Menegua, una localidad ubicada en el departamento del Meta de los Llanos Orientales de Colombia. El diseño experimental utilizado fue de alpha lattice con 2 repeticiones y en cada ensayo se incluyó testigos ACP y normales. Los datos fueron analizados siguiendo el método REML (Restricted máximum Likelihood Method) del procedimiento GLM de SAS 9.1.3. Los criterios principales de selección fueron rendimiento de grano y textura de grano. Se seleccionaron 44 F2s con rendimiento superior al del testigo ACP y comparable al rendimiento de los testigos normales. La textura de grano de las familias seleccionadas fue semi-cristalino con buena dosis de genes modificadores lo que indica que el gen o2 está presente. El paso siguiente será seguir el proceso de autofecundación de las familias F2 hasta llegar a F5 en que se hará los cruzamientos con probadores a fin de identificar líneas deseables para la formación de híbridos y sintéticos

Desarrollo de germoplasma de maíz para suelos ácidos: programa suramericano de maíz CIMMYT.

La baja fertilidad de los uselos es el problema más importante en la reducción de los rendimiento de maíz en los tropicos y la acidez del suelo es el principal causante de esta baja fertilidad, siendo la toxicidad de aluminio la principal causa. Actualmente se seimbran entre 8 y 29 millones de ha. de maíz en suelos ácidos con bajo pH, alta concentración de Al, y deficiencia en Ca, Mg y P. En los suelos ácidos se inhibe el crecimiento radicular que finalmente se manifiesta en una dismimunción del rendimiento. El CIMMYT, en colaboración con los Programas Nacionales, esta aprovechando la gran variabilidad en el maíz para generar cultivares que puedan crecer bajo el estress provocado por la ácidez del suelo y que su cultivo sea una actividad económicamente viable y que no interfiera con la sosteniblidad del ambiente. Estudios realizados en Colombia y otros lugares indican que la selección recurrente recíproca, basada en el comportamiento de genotivos a través de un rango de ambiente será efectiva en el desarrollo de variedades e híbridos tolerantes. La capacidad de rendimiento en suelos ácidos esta correlacionada positivamente con el comportamiento en suelos fértiles no ácidos. Por esta razón, los cultivadores de maíz tolerantes a la acidez pueden crecer y produciir bien tanto en suelos ácidos en no ácidos. Como resultado de este proyecto colaborativo se han liberado dos cultivares de maíz: Sikuani ICA V110-Colombia y Antasena en Indonesia, actualmente en evaluación en diferentes países Estudios agronómicos indican la superioridad de los cultivares tolerantes con relación a los susceptibles o comerciales en un rango de suelos ácidos y no ácidosMaíz-Zea may

Conservation and Use of Latin American Maize Diversity: Pillar of Nutrition Security and Cultural Heritage of Humanity

Latin America is the center of domestication and diversity of maize, the second most cultivated crop worldwide. In this region, maize landraces are fundamental for food security, livelihoods, and culture. Nevertheless, genetic erosion (i.e., the loss of genetic diversity and variation in a crop) threatens the continued cultivation and in situ conservation of landrace diversity that is crucial to climate change adaptation and diverse uses of maize. We provide an overview of maize diversity in Latin America before discussing factors associated with persistence of large in situ maize diversity, causes for maize landrace abandonment by farmers, and strategies to enhance the cultivation of landraces. Among other factors, maize diversity is linked with: (1) small-holder farming, (2) the production of traditional food products, (3) traditional cropping systems, (4) cultivation in marginal areas, and (5) retention of control over the production system by the farmers. On the other hand, genetic erosion is associated with substitution of landraces with hybrid varieties or cash crops, and partial (off-farm labor) or complete migration to urban areas. Continued cultivation, and therefore on-farm conservation of genetic diversity held in maize landraces, can be encouraged by creating or strengthening market opportunities that make the cultivation of landraces and open pollinated varieties (OPVs) more profitable for farmers, supporting breeding programs that prioritize improvement of landraces and their special traits, and increasing the access to quality germplasm of landraces and landrace-derived OPVs

Adrenomedullin as a potential biomarker involved in patients with hereditary hemorrhagic telangiectasia

Background: Adrenomedullin (AM) is a vasoactive peptide mostly secreted by endothelial cells with an important role in preserving endothelial integrity. The relationship between AM and hereditary hemorrhagic telangiectasia (HHT) is unknown. We aimed to compare the serum levels and tissue expression of AM between HHT patients and controls. Methods: Serum AM levels were measured by radioimmunoassay and compared between control and HHT groups. AM levels were also compared among HHT subgroups according to clinical characteristics. The single nucleotide polymorphism (SNP) rs4910118 was assessed by restriction analysis and sequencing. AM immunohistochemistry was performed on biopsies of cutaneous telangiectasia from eight HHT patients and on the healthy skin from five patients in the control group. Results: Forty-five HHT patients and 50 healthy controls were included, mean age (SD) was 50.7 (14.9) years and 46.4 (9.9) years (p = 0.102), respectively. HHT patients were mostly female (60% vs 38%, p = 0.032). Median [Q1-Q3] serum AM levels were 68.3 [58.1-80.6] pg/mL in the HHT group and 47.7 [43.2-53.8] pg/mL in controls (p<0.001), with an optimal AM cut-off according to Youden's J statistic of 55.32 pg/mL (J:0.729). Serum AM levels were similar in the HHT subgroups. No patient with HHT had the SNP rs4910118. AM immunoreactivity was found with high intensity in the abnormal blood vessels of HHT biopsies

Image informatics strategies for deciphering neuronal network connectivity

Brain function relies on an intricate network of highly dynamic neuronal connections that rewires dramatically under the impulse of various external cues and pathological conditions. Among the neuronal structures that show morphologi- cal plasticity are neurites, synapses, dendritic spines and even nuclei. This structural remodelling is directly connected with functional changes such as intercellular com- munication and the associated calcium-bursting behaviour. In vitro cultured neu- ronal networks are valuable models for studying these morpho-functional changes. Owing to the automation and standardisation of both image acquisition and image analysis, it has become possible to extract statistically relevant readout from such networks. Here, we focus on the current state-of-the-art in image informatics that enables quantitative microscopic interrogation of neuronal networks. We describe the major correlates of neuronal connectivity and present workflows for analysing them. Finally, we provide an outlook on the challenges that remain to be addressed, and discuss how imaging algorithms can be extended beyond in vitro imaging studies

NeuriteQuant: An open source toolkit for high content screens of neuronal Morphogenesis

<p>Abstract</p> <p>Background</p> <p>To date, some of the most useful and physiologically relevant neuronal cell culture systems, such as high density co-cultures of astrocytes and primary hippocampal neurons, or differentiated stem cell-derived cultures, are characterized by high cell density and partially overlapping cellular structures. Efficient analytical strategies are required to enable rapid, reliable, quantitative analysis of neuronal morphology in these valuable model systems.</p> <p>Results</p> <p>Here we present the development and validation of a novel bioinformatics pipeline called NeuriteQuant. This tool enables fully automated morphological analysis of large-scale image data from neuronal cultures or brain sections that display a high degree of complexity and overlap of neuronal outgrowths. It also provides an efficient web-based tool to review and evaluate the analysis process. In addition to its built-in functionality, NeuriteQuant can be readily extended based on the rich toolset offered by ImageJ and its associated community of developers. As proof of concept we performed automated screens for modulators of neuronal development in cultures of primary neurons and neuronally differentiated P19 stem cells, which demonstrated specific dose-dependent effects on neuronal morphology.</p> <p>Conclusions</p> <p>NeuriteQuant is a freely available open-source tool for the automated analysis and effective review of large-scale high-content screens. It is especially well suited to quantify the effect of experimental manipulations on physiologically relevant neuronal cultures or brain sections that display a high degree of complexity and overlap among neurites or other cellular structures.</p

Automatic Robust Neurite Detection and Morphological Analysis of Neuronal Cell Cultures in High-content Screening

Cell-based high content screening (HCS) is becoming an important and increasingly favored approach in therapeutic drug discovery and functional genomics. In HCS, changes in cellular morphology and biomarker distributions provide an information-rich profile of cellular responses to experimental treatments such as small molecules or gene knockdown probes. One obstacle that currently exists with such cell-based assays is the availability of image processing algorithms that are capable of reliably and automatically analyzing large HCS image sets. HCS images of primary neuronal cell cultures are particularly challenging to analyze due to complex cellular morphology. Here we present a robust method for quantifying and statistically analyzing the morphology of neuronal cells in HCS images. The major advantages of our method over existing software lie in its capability to correct non-uniform illumination using the contrast-limited adaptive histogram equalization method; segment neuromeres using Gabor-wavelet texture analysis; and detect faint neurites by a novel phase-based neurite extraction algorithm that is invariant to changes in illumination and contrast and can accurately localize neurites. Our method was successfully applied to analyze a large HCS image set generated in a morphology screen for polyglutaminemediated neuronal toxicity using primary neuronal cell cultures derived from embryos of a Drosophila Huntington’s Disease (HD) model.National Institutes of Health (U.S.) (Grant