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Bibliografická citace

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Cham : Springer International Publishing : Imprint: Springer, 2017.
XIII, \1 s. 68 illus., 53 illus. in color. online zdroj.
Externí odkaz    Plný text PDF 
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ISBN 9783319451053
Plant Genetics and Genomics: Crops and Models, ISSN 2363-9601 ; 19
Printed edition: ISBN 9783319451039
Overview and Introduction -- Setaria as a Model System -- Evolutionary Relationships in Setaria aand Allied Grasses -- Cytogenetics in the Genus Setaria -- Foxtail Millet Domestication, History, Breeding, and Current Situation -- Setaria Genomics -- Genome Structure -- Transposons -- Comparative Genomics -- Population Genetics and Genome Wide Association Mapping of Chinese Populations -- Population Genetics of S. Viridis in the USA -- Experimental Resources and TOlls -- Tool Development -- Transformation -- Using S. Viridis to Understand Key Traits -- Hydropatterning in Grass Roots -- Setaria Root Microbe Interactions -- C4 Photosynthesis -- The Evolution of Herbicide Resistance in Setaria -- Setaria as a Model for Cell Wall Synthesis -- Phenotypic Evolution in Setaria.
Setaria viridis and S.italica make up a model grass system to investigate C4 photosynthesis, cell wall biosynthesis, responses to drought, herbicide, and other environmental stressors, genome dynamics, developmental genetics and morphology, and interactions with microorganisms. Setaria viridis (green foxtail) is one of the world’s most widespread weeds, and its small size, native variation, rapidly burgeoning genetic and genomic resources, and transformability are making it the system of choice for both basic research and its translation into crop improvement. Its domesticated variant, S. italica (foxtail millet), is a drought-hardy cereal grown in China, India and Africa, and new breeding techniques show great potential for improving yields and nutrition for drought-prone regions. This book brings together for the first time evolutionary, genomic, genetic, and morphological analyses, together with protocols for growing and transforming Setaria, and approaches to high throughput genotyping and candidate gene analysis. Authors include major Setaria researchers from around the world..
001474217

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