Titlebook: Genetics and Genomics of Pineapple; Ray Ming Book 2018 Springer Nature Switzerland AG 2018 Pineapple.Domestication.Genomics.Sequencing.Imp

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https://doi.org/10.1007/978-3-642-50867-7ncers were the dominant reads used for assembling genomes until the introduction of third-generation long-read sequencing machines. Long reads are able to extend through complex regions of repeats avoiding erroneous collapse which causes a reduction in the genome assembly size. However, the low accu

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Walther Wegener,Burkhard Wulfhorstid metabolism (CAM) photosynthetic pathway enables researchers to track down genomic and regulatory changes necessary for a shift from C3 metabolism, also shedding light on the evolution of the C4 metabolism. In addition to its unique photosynthetic pathway, pineapple occupies a unique evolutionary

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Tartar

https://doi.org/10.1007/978-3-322-85285-4ipts to gene models mapping data, a total of 17,308 predicted genes are supported by expressed transcripts. Between leaf and root tissue, 795 genes were upregulated in leaf tissue relative to root tissue, and 1391 genes were upregulated in root tissue relative to leaf tissue. Between young fruit tis

Narrative

Günter Sonnenschein,Eugen Fleglerd their products in pineapple. A total of 512 genes encoding putative proteases in pineapple were identified. The encoded proteases are predicted to be distributed in different subcellular compartments, with 152 secreted into extracellular space, 74 localized in cytosol, 67 in nucleus, 60 in chlorop

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