Sugarcane Breeding and Selection for more Efficient Biomass Conversion in Cellulosic Ethanol

Loureiro, Marcelo Ehlers; Barbosa, Márcio H. P.; Lopes, Francis Julio Fagundes; Silvério, Flaviano Oliveira

doi:10.1007/978-0-387-92740-4_13

Cited by 29 publications

(32 citation statements)

References 84 publications

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“…Three major components make up the fiber fraction of sugarcane, namely, cellulose, hemicellulose (or non-cellulosic polysaccharide components) and lignin. Cellulose constitutes around 50% of the dry weight sugarcane bagasse, while hemicellulose and lignin each account for about 25% (Loureiro et al, 2011). These three components are biosynthesized through different complex pathways (Higuchi, 1981, Whetten and Ron, 1995, Saxena and Brown, 2000, Mutwil et al, 2008, Harris and DeBolt, 2010, Pauly et al, 2013.…”

Section: Sugarcane Cell-wall and Biomass Compositionmentioning

confidence: 99%

“…There is similar cellulose content between grass and non-grass primary and secondary cell-walls; however, hemicellulose composition is different between the two groups. Grass cell-walls have 4-8 times more xylans; higher mixed linkage glucans; lower levels of xyloglucans, mannans, glucomannans and pectin in primary cell-walls; but higher phenolics and lignin in the secondary cell-walls (Loureiro et al, 2011). Grassy lignin is composed of three monolignols forming various ratios of them and normally has more H subunits (more coumaryl derivatives) than in non-grasses (Vogel, 2008).…”

Section: Sugarcane Cell-wall and Biomass Compositionmentioning

confidence: 99%

“…Polysaccharides found in sugarcane leaf and culm walls were similar but different in the proportions of xyloglucan and arabinoxylan (de . The major mono-saccharides released from sugarcane cell-walls have been reported to be glucose, xylose and arabinose (Loureiro et al, 2011, Rabemanolontsoa and Saka, 2013. Understanding the fine structure and detailed composition of sugarcane cell-walls will assist in optimizing the tissue pre-treatment and cell-wall hydrolysis protocol.…”

Section: Sugarcane Cell-wall and Biomass Compositionmentioning

confidence: 99%

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Analysis of genes controlling biomass traits in the genome of sugarcane (Saccharum spp. hybrids)

Hoang¹

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Sugarcane (Saccharum spp. hybrids) is a leading industrial crop in tropical and subtropical regions worldwide. More recently, sugarcane has been selected as a key feedstock for biofuels due to its rapid growth, high fiber content and favorable energy input/output ratio.Breeding sugarcane varieties with biomass for efficient conversion to biofuels can be optimized by understanding the genetic control of biomass composition. However, the genetic analysis of these traits is hindered by the genomic complexity, and the limited availability of a reference genome. The aims of this project were: the development of a high-throughput profiling method for rapid screening of the key biomass traits in a sugarcane population; the construction of a new full-length transcriptome reference database; and the identification of transcripts associated with sugar and fiber accumulation in sugarcane.For the screening of genotypes, newly developed predictive models employing nearinfrared (NIR) spectral analysis, coupled with the high performance liquid chromatography (HPLC), were shown to allow high-throughput profiling of major components in the fiber and sugar fractions in sugarcane biomass. Contrasting genotypes of low fiber and high fiber (minimum of ~29% and maximum of 61% total dry biomass) were identified amongst 331 samples from 186 sugarcane genotypes. The population studied exhibited a wide range of fiber/sugar ratio, from 0.4 (as low as that of the typical commercial sugarcane variety) to 2.2 (similar to that of energy-cane). In addition, the lignin content (the central factor in the biomass recalcitrance) ranged from 6 to 14% of the total dry biomass. To aid genotyping, a new sugarcane transcriptome (termed as SUGIT database) was constructed using PacBio full-length isoform sequencing (Iso-Seq), and a cDNA library derived from 22 diverse sugarcane genotypes, of the key tissues (leaf, internode and root), at different developmental stages (from immature to mature). Comparative analysis showed that this new SUGIT database included more full-length transcripts, longer predicted transcripts, and higher average length of the largest 1,000 proteins, compared to a de novo assembly from Illumina RNA-Seq short-read data from the same sample set. The annotation suggested that the majority (~94%) of the SUGIT database was from coding RNAs, while a very small proportion (~2%) could be long non-coding RNAs. About 70-82% of the RNASeq reads from different tissues mapped back to the SUGIT database, suggesting that it represented well the targeted tissues, while about 69% of this database was aligned with the sorghum genome, confirming the high conservation of orthologs in the genic regions of ii the two genomes. Applying the SUGIT database to differential expression analysis (FDR, false discovery rate corrected p-value <0.05), 1,649 transcript isoforms were identified as being differentially expressed between the young and mature tissues in the sugarcane plant, while 555 transcript isoforms were differentially expressed between th...

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Section: Sugarcane Cell-wall and Biomass Compositionmentioning

confidence: 99%

Section: Sugarcane Cell-wall and Biomass Compositionmentioning

confidence: 99%

Section: Sugarcane Cell-wall and Biomass Compositionmentioning

confidence: 99%

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Analysis of genes controlling biomass traits in the genome of sugarcane (Saccharum spp. hybrids)

Hoang¹

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“…A caracterização de uma população de clones mostrou uma grande variação no teor de lignina (de 5 a 18%) em bagaço de cana de açúcar (LOUREIRO et al, 2011 parte dos aromáticos presentes nas amostras, com valores entre 5,0 % e 9,2 % para hidroxicinâmicos totais e predominância do ácido p-cumárico em relação ao ferúlico.…”

Section: Características Dos Híbridos De Cana-de-açúcar Com Teores Vaunclassified

“…Variedades estas que também devem ser mais produtivas, consumir menos insumos, ser mais resistentes a pragas, mais apropriadas ao ciclo sazonal e suportar a mecanização FURTADO, 2013). Desde a implantação do Programa "Próalcool" no Brasil, a produtividade de cana nesses 30 anos tem aumentado na proporção de 761 Kg/ha/ano (1,5%) (LOUREIRO et al, 2011). A previsão do total de cana-de-açúcar para ser moída é de 659,85 milhões de toneladas na safra de 2013/2014, com aumento de 12,0% em relação à safra 2012/13, que foi de 588,92 milhões de toneladas, significando que a quantidade que será moída deve ser 70,93 milhões de toneladas maiores que na safra anterior (CONAB, 2013).…”

Section: Introductionunclassified

Caracterização ultraestrutural e hidrólise enzimática de cana-de-açúcar e bagaço pré-tratado quimio-mecanicamente

Carvalho¹

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Energy Cane

Jackson¹

2013

Bioenergy Feedstocks

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Sugarcane Breeding and Selection for more Efficient Biomass Conversion in Cellulosic Ethanol

Cited by 29 publications

References 84 publications

Analysis of genes controlling biomass traits in the genome of sugarcane (Saccharum spp. hybrids)

Analysis of genes controlling biomass traits in the genome of sugarcane (Saccharum spp. hybrids)

Caracterização ultraestrutural e hidrólise enzimática de cana-de-açúcar e bagaço pré-tratado quimio-mecanicamente

Energy Cane

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