Capítulos de libros

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    Constructing Simple Biological Networks for Understanding Complex High-Throughput Data in Plants
    (Springer, 2015) Vidal Olate, Elena Alejandra; Contreras López, Luis Orlando; Gutiérrez Ilabaca, Rodrigo Antonio; Moyano Yugovic, Tomás Custodio; Stepanova, Anna N.
    Technological advances in the last decade have enabled biologists to produce increasing amounts of information for the transcriptome, proteome, interactome, and other -omics data sets in many model organisms. A major challenge is integration and biological interpretation of these massive data sets in order to generate testable hypotheses about gene regulatory networks or molecular mechanisms that govern system behaviors. Constructing gene networks requires bioinformatics skills to adequately manage, integrate, analyze and productively use the data to generate biological insights. In this chapter, we provide detailed methods for users without prior knowledge of bioinformatics to construct gene networks and derive hypotheses that can be experimentally verified. Step-by-step instructions for acquiring, integrating, analyzing, and visualizing genome-wide data are provided for two widely used open source platforms, R and Cytoscape platforms. The examples provided are based on Arabidopsis data, but the protocols presented should be readily applicable to any organism for which similar data can be obtained.
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    Quality Evaluation and Control of Potato Chips
    (2016) Pedreschi, F.; Mery Quiroz, Domingo Arturo; Marique, T.
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    Quinoa Breeding and Genomics
    (Wiley, 2019) Murphy, Kevin M.; Matanguihan, Janet B.; Fuentes Carmona, Francisco Fabián; Rayda Gomez Pando, Luz; Jellen, Eric N.; Maughan, Peter J.; Jarvis, David E.
    The production and consumption of quinoa (Chenopodium quinoa Willd.) have grown rapidly in recent years, spreading far beyond its traditional growing region of the Andes Mountains in South America. The increase in consumption is due primarily to its high nutritional value and flavorful seed, whereas the expansion in production area is due to the broad adaptability of the species across a wide range of latitudes, altitudes, precipitation zones, soil types, and salinity levels. Efforts are underway across the globe to develop regionally resilient quinoa cultivars and productive cropping systems. The recent publication of the quinoa genome has opened avenues of research previously unavailable in quinoa breeding and should contribute substantially to the development of improved cultivars. This chapter reviews the evolution of quinoa and its wild relatives, the traditional ecotypes from which the majority of modern cultivars descend, and the history of quinoa breeding in South America. It discusses quinoa's reproductive and pollination systems, as well as recent advances in the genetics and genomics of this allotetraploid species. Following an overview of quinoa breeding methods, it focuses on breeding objectives, including yield potential, traits of agronomic importance, tolerance to abiotic and biotic stresses, and characteristics of critical importance to end-use quality and nutritional value.