Sugarcane Genetics and Genomics

Zhang, Jisen; Zhou, Marvellous; Walsh, James A.; Zhu, Lin; Youqiang, Chen; Ming, Ray

doi:10.1002/9781118771280.ch23

Cited by 21 publications

(13 citation statements)

References 126 publications

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Section: Maizementioning

confidence: 99%

“…More recently, molecular genetic maps, although incomplete, have also been constructed from 10 segregating populations (Zhang et al 2014). Follow-up mapping of quantitative trait loci (QTLs) has been constructed on several populations for sugar content, sugar yield, disease resistance, and other agronomic traits (Zhang et al 2014). In addition, a large collection of expressed sequence tags (ESTs) has been generated and used for mining single-nucleotide polymorphisms (SNPs), gene expression profiling, and gene discovery (Zhang et al 2014).…”

Section: Maizementioning

confidence: 99%

“…Follow-up mapping of quantitative trait loci (QTLs) has been constructed on several populations for sugar content, sugar yield, disease resistance, and other agronomic traits (Zhang et al 2014). In addition, a large collection of expressed sequence tags (ESTs) has been generated and used for mining single-nucleotide polymorphisms (SNPs), gene expression profiling, and gene discovery (Zhang et al 2014). Although these techniques have been useful, an annotated map of the sugarcane genome is not yet available.…”

Section: Maizementioning

confidence: 99%

See 2 more Smart Citations

Sugarcane biotechnology: tapping unlimited potential

Bhowmik

Brinin

Williams

2016

Sugarcane‐Based Biofuels and Bioproducts

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Section: Maizementioning

confidence: 99%

Section: Maizementioning

confidence: 99%

Section: Maizementioning

confidence: 99%

See 1 more Smart Citation

Sugarcane biotechnology: tapping unlimited potential

Bhowmik

Brinin

Williams

2016

Sugarcane‐Based Biofuels and Bioproducts

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“…Due to its high productivity, sugarcane is used as biorefineries for the production of biomass, bioenergy and biomaterials ( Botha and Moore, 2014 ; Gómez-Merino et al, 2014 ). Sugarcane belongs to the genus Saccharum that was traditionally divided into six species, two wild species S. spontaneum and S. robustum , and four cultivated species S. officinarum, S. edule, S. barberi , and S. sinense ( Zhang et al, 2013 ). However, as originally proposed by Irvine (1999) , recent evidence based on morphological, cytological and population structure supported the classification of genus Saccharum into two horticultural species, S. spontaneum and S. officinarum , of which the latter one includes the other four Saccharum species and their interspecific hybrids ( Zhang et al, 2013 ).…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Homologous Sequences of Saccharum officinarum and Saccharum spontaneum Reveals Independent Polyploidization Events

et al. 2018

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Sugarcane (Saccharum spp. hybrids) is an economically important crop widely grown in tropical and subtropical regions for sugar and ethanol production. However, the large genome size, high ploidy level, interspecific hybridization and aneuploidy make sugarcane one of the most complex genomes and have long hampered genome research in sugarcane. Modern sugarcane cultivars are derived from interspecific hybridization between S. officinarum and S. spontaneum with 80–90% of the genome from S. officinarum and 10–20% of the genome from S. spontaneum. We constructed bacterial artificial chromosome (BAC) libraries of S. officinarum variety LA Purple (2n = 8x = 80) and S. spontaneum haploid clone AP85-441 (2n = 4x = 32), and selected and sequenced 97 BAC clones from the two Saccharum BAC libraries. A total of 5,847,280 bp sequence from S. officinarum and 5,011,570 bp from S. spontaneum were assembled and 749 gene models were annotated in these BACs. A relatively higher gene density and lower repeat content were observed in S. spontaneum BACs than in S. officinarum BACs. Comparative analysis of syntenic regions revealed a high degree of collinearity in genic regions between Saccharum and Sorghum bicolor and between S. officinarum and S. spontaneum. In the syntenic regions, S. spontaneum showed expansion relative to S. officinarum, and both S. officinarum and S. spontaneum showed expansion relative to sorghum. Among the 75 full-length LTR retrotransposons identified in the Saccharum BACs, none of them are older than 2.6 mys and no full-length LTR elements are shared between S. officinarum and S. spontaneum. In addition, divergence time estimated using a LTR junction marker and a syntenic gene shared by 3 S. officinarum and 1 S. spontaneum BACs revealed that the S. spontaneum intergenic region was distant to those from the 3 homologous regions in S. officinarum. Our results suggested that S. officinarum and S. spontaneum experienced at least two rounds of independent polyploidization in each lineage after their divergence from a common ancestor.

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“…programmes breeding for high-sucrose cultivars, use crosses between commercial or near-commercial cultivars ( Matsuoka et al , 2014 ), which have been shown to be genetically very similar ( Dal-Bianco et al , 2012 ). The development of a new cultivar is also time and resource intensive: it takes at least 250 000 seedlings and 12–15 years to create a commercially viable cultivar in traditional breeding programmes ( Hotta et al , 2010 ; Zhang et al , 2014 ). To broaden the genetic basis of sugarcane and develop an energy cane with higher biomass, several breeding programmes are including ancestral genotypes, i.e.…”

Section: Introductionmentioning

confidence: 99%