Abstract
Sugarcane is an important commercial crop cultivated for sugar and energy. However, cultivar improvement may be limited due to the narrow genetic base of desired genes. In this sense, functional genomics is a promising tool to assist in the process of developing improved cultivars. Genetic maps linking DNA markers and traits have been developed, but marker-assisted breeding is in its infancy in sugarcane, and genome sequencing has just recently commenced. Substantial resources are available for the sugarcane transcriptome, and both specific and overlapping gene expression patterns for many traits have been established. Gene silencing and over-expression show promise as tests for gene function in sugarcane, and progress has been made in dissecting sucrose accumulation pathways. To broadly assign functions to unknown genes, different fast and multiple parallel approaches are currently used and developed. Such methods allow analysis of the different constituents of the cell that help to deduce gene function, namely the transcripts, proteins and metabolites. Similarly the phenotypic variations of entire mutant collections can now be analyzed in a much faster and more efficient manner than earlier. The different methodologies have developed to form their own fields within the functional genomics technological platform and are termed transcriptomics, proteomics, metabolomics and phenomics. This chapter focuses on recent technological developments and their impact on the field of sugarcane functional genomics. Understanding the unique biological attributes of sugarcane through functional genomics will provide innovative improvement applications that can underpin future, bio-energy and biomaterial industries.
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Singh, R.K., Singh, S.P. (2015). Prospects of Functional Genomics in Sugarcane. In: Al-Khayri, J., Jain, S., Johnson, D. (eds) Advances in Plant Breeding Strategies: Breeding, Biotechnology and Molecular Tools. Springer, Cham. https://doi.org/10.1007/978-3-319-22521-0_17
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