2014
DOI: 10.1104/pp.114.242446
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Genetic Determinants for Enzymatic Digestion of Lignocellulosic Biomass Are Independent of Those for Lignin Abundance in a Maize Recombinant Inbred Population

Abstract: Biotechnological approaches to reduce or modify lignin in biomass crops are predicated on the assumption that it is the principal determinant of the recalcitrance of biomass to enzymatic digestion for biofuels production. We defined quantitative trait loci (QTL) in the Intermated B73 3 Mo17 recombinant inbred maize (Zea mays) population using pyrolysis molecular-beam mass spectrometry to establish stem lignin content and an enzymatic hydrolysis assay to measure glucose and xylose yield. Among five multiyear QT… Show more

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Cited by 51 publications
(54 citation statements)
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References 83 publications
(106 reference statements)
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“…Besides selecting or breeding for natural variation in biomass composition (Wegrzyn et al, 2010;Penning et al, 2014a), it is also possible to genetically modify biomass composition (Bartley and Ronald, 2009). Most simply, genetic engineering of bioenergy plants can be achieved by modifying the plant's genome to (1) express genes from other organisms, (2) increase expression of native genes, or (3) reduce expression of native genes.…”
Section: Resultsmentioning
confidence: 99%
“…Besides selecting or breeding for natural variation in biomass composition (Wegrzyn et al, 2010;Penning et al, 2014a), it is also possible to genetically modify biomass composition (Bartley and Ronald, 2009). Most simply, genetic engineering of bioenergy plants can be achieved by modifying the plant's genome to (1) express genes from other organisms, (2) increase expression of native genes, or (3) reduce expression of native genes.…”
Section: Resultsmentioning
confidence: 99%
“…However, because many QTL analyses performed using linkage mapping (e.g. involving RIL or DH populations) result in large QTL confidence intervals (Messmer et al, 2009;Hao et al, 2010;Li et al, 2010;Almeida et al, 2013;Penning et al, 2014;Park et al, 2015) and the respective individual linkage maps may vary greatly (Semagn et al, 2013), relatively wide chromosomal segments have to be considered and such co-locations have thus to be regarded as tentative. Nevertheless, Peiffer et al (2014) showed that the strongest GWAS associations were often located near the most robust family-nested QTL.…”
Section: Only a Subset Of The Detected Loci Has Been Identified In Prmentioning
confidence: 99%
“…However, it has also been shown that alterations in cell-wall components other than lignin can affect biomass digestibility. For example, Penning et al have recently shown that quantitative trait loci (QTLs) for lignin abundance are independent of those for saccharification in a maize recombinant inbred population (14). In particular, altering cellulose production, deposition, or crystallinity can affect saccharification (15)(16)(17) because cellulose typically constitutes around one third of the total mass of plants and the insoluble crystalline cellulose fibers are hard to digest (18).…”
mentioning
confidence: 99%