Lignin and Biomass: A Negative Correlation for Wood Formation and Lignin Content in Trees

Novaes, Evandro; Kirst, Matias; Chiang, Vincent L.; Sederoff, Heike; Sederoff, Ronald R.

doi:10.1104/pp.110.161281

Cited by 321 publications

(183 citation statements)

References 58 publications

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“…While there was no relationship between growth and lignin content in EC, lignin in TD was negatively correlated to growth. Similarly, negative correlation between lignin and growth has been reported by Novaes et al (2010).…”

Section: Discussionsupporting

confidence: 66%

“…Both phenolic and lignin values found in this study are low. They fall in the ranges reported for the Cyperaceae and Typhaceae (Table 4), which are lower than values presented for floating-leaved and emergent macrophytes by Smolders et al (2000), and much lower than values reported for terrestrial plants, specifically trees (15-40 %, see Taylor et al 1989;Vitousek 1998;Novaes et al 2010). The only exceptions were higher phenolic values for TD from the greenhouse study.…”

Section: Discussioncontrasting

confidence: 55%

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Phenolic content and growth of wetland macrophytes: Is the allocation to secondary compounds driven by nutrient availability?

Rejmánková

2015

Folia Geobot

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This study compares soluble phenolics and lignin content in two wetland macrophytes with contrasting life strategies grown under a varying nutrient supply in the field and in a greenhouse experiment. The differences are explained in terms of the protein competition model (PCM) hypothesis relating changes in secondary metabolites to changing nutrient limitation. The two study species, Eleocharis cellulosa (EC) and Typha domingensis (TD), are both widespread in tropical and subtropical freshwater and brackish marshes of the New World, and are often found in P-limited rather than Nlimited conditions. TD is a fast-growing competitor with large nutrient requirements. EC is a stress tolerator, quite well adapted to growth in nutrient-limiting environments. In both species, the concentration of phenolics was negatively correlated with increasing growth (due to increasing nutrient levels). This is in agreement with the PCM hypothesis, which predicts an increase in phenolic synthesis when protein synthesis (and consequently growth) is low due to limited resource availability. An interesting difference was found in the correlation between tissue nutrients and phenolics. TD from both the field and the greenhouse showed a negative correlation between tissue P and phenolics, while EC displayed a significant negative correlation between tissue N and phenolics. EC is adapted to low P, and increased tissue P content represents luxury consumption (uptake of P for storage) which is not reflected in increased growth and thus is not correlated with phenolics. These are the first steps in elucidating the relationship among nutrient availability, growth and phenolic content in two important primary producers of tropical and subtropical marshes.

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Section: Discussionsupporting

confidence: 66%

Section: Discussioncontrasting

confidence: 55%

Phenolic content and growth of wetland macrophytes: Is the allocation to secondary compounds driven by nutrient availability?

Rejmánková

2015

Folia Geobot

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“…Lignin is a key determinant of the recalcitrance of the plant cell wall to enzymatic digestion of cellulose, xylans, and other noncellulosic glycans to monosaccharides (saccharification yield) that may be used for biofuels production (Chen and Dixon, 2007;Himmel et al, 2007;Novaes et al, 2010). The genes involved in lignin biosynthesis from Phe to hydroxycinnamates and monolignol substrates are known, and modulating enzyme activities in this pathway alters the abundance of these substrates and the composition of polymerized lignin in the cell wall and increases the yield of sugars by enzymatic digestion (Bonawitz and Chapple, 2010;Vanholme et al, 2010).…”

mentioning

confidence: 99%

Genetic Determinants for Enzymatic Digestion of Lignocellulosic Biomass Are Independent of Those for Lignin Abundance in a Maize Recombinant Inbred Population

et al. 2014

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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 QTL for lignin abundance, two for 4-vinylphenol abundance, and four for glucose and/or xylose yield, not a single QTL for aromatic abundance and sugar yield was shared. A genome-wide association study for lignin abundance and sugar yield of the 282-member maize association panel provided candidate genes in the 11 QTL of the B73 and Mo17 parents but showed that many other alleles impacting these traits exist among this broader pool of maize genetic diversity. B73 and Mo17 genotypes exhibited large differences in gene expression in developing stem tissues independent of allelic variation. Combining these complementary genetic approaches provides a narrowed list of candidate genes. A cluster of SCARECROW-LIKE9 and SCARECROW-LIKE14 transcription factor genes provides exceptionally strong candidate genes emerging from the genome-wide association study. In addition to these and genes associated with cell wall metabolism, candidates include several other transcription factors associated with vascularization and fiber formation and components of cellular signaling pathways. These results provide new insights and strategies beyond the modification of lignin to enhance yields of biofuels from genetically modified biomass.

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“…For instance, a study of Abies alba and Picea abies found that rising temperature can lead to water deficiency and slow down tree growth and increase wood density [50]. Additionally, edaphic factors can increase soil fertility, impact tree growth and wood chemical composition, and alter wood physical properties [19,51]. In the present study, both GLM and partial regression analysis indicated that climatic and edaphic factors played little role in shaping spatial patterns of wood physical properties.…”

Section: Factors Controlling Geographical Pattern Of Chinese Wood Phymentioning

confidence: 77%

Patterns and determinants of wood physical and mechanical properties across major tree species in China

Zhu

Shi

Fang

et al. 2015

Sci. China Life Sci.

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The physical and mechanical properties of wood affect the growth and development of trees, and also act as the main criteria when determining wood usage. Our understanding on patterns and controls of wood physical and mechanical properties could provide benefits for forestry management and bases for wood application and forest tree breeding. However, current studies on wood properties mainly focus on wood density and ignore other wood physical properties. In this study, we established a comprehensive database of wood physical properties across major tree species in China. Based on this database, we explored spatial patterns and driving factors of wood properties across major tree species in China. Our results showed that (i) compared with wood density, air-dried density, tangential shrinkage coefficient and resilience provide more accuracy and higher explanation power when used as the evaluation index of wood physical properties. (ii) Among life form, climatic and edaphic variables, life form is the dominant factor shaping spatial patterns of wood physical properties, climatic factors the next, and edaphic factors have the least effects, suggesting that the effects of climatic factors on spatial variations of wood properties are indirectly induced by their effects on species distribution. wood density, shrinkage coefficient, resilience, geographic pattern, environmental factors Citation:Zhu JL, Shi Y, Fang LQ, Liu XE, Ji CJ. Patterns and determinants of wood physical and mechanical properties across major tree species in China.

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Lignin and Biomass: A Negative Correlation for Wood Formation and Lignin Content in Trees

Cited by 321 publications

References 58 publications

Phenolic content and growth of wetland macrophytes: Is the allocation to secondary compounds driven by nutrient availability?

Phenolic content and growth of wetland macrophytes: Is the allocation to secondary compounds driven by nutrient availability?

Genetic Determinants for Enzymatic Digestion of Lignocellulosic Biomass Are Independent of Those for Lignin Abundance in a Maize Recombinant Inbred Population

Patterns and determinants of wood physical and mechanical properties across major tree species in China

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