Literature DB >> 31254267

The lignin toolbox of the model grass Setaria viridis.

Sávio Siqueira Ferreira1, Marcella Siqueira Simões1, Gabriel Garon Carvalho1, Leydson Gabriel Alves de Lima1, Raphael Mendes de Almeida Svartman1, Igor Cesarino2.   

Abstract

KEY MESSAGE: The core set of biosynthetic genes potentially involved in developmental lignification was identified in the model C4 grass Setaria viridis. Lignin has been recognized as a major recalcitrant factor negatively affecting the processing of plant biomass into bioproducts. However, the efficient manipulation of lignin deposition in order to generate optimized crops for the biorefinery requires a fundamental knowledge of several aspects of lignin metabolism, including regulation, biosynthesis and polymerization. The current availability of an annotated genome for the model grass Setaria viridis allows the genome-wide characterization of genes involved in the metabolic pathway leading to the production of monolignols, the main building blocks of lignin. Here we performed a comprehensive study of monolignol biosynthetic genes as an initial step into the characterization of lignin metabolism in S. viridis. A total of 56 genes encoding bona fide enzymes catalyzing the consecutive ten steps of the monolignol biosynthetic pathway were identified in the S. viridis genome. A combination of comparative phylogenetic studies, high-throughput expression analysis and quantitative RT-PCR analysis was further employed to identify the family members potentially involved in developmental lignification. Accordingly, 14 genes clustered with genes from closely related species with a known function in lignification and showed an expression pattern that correlates with lignin deposition. These genes were considered the "core lignin toolbox" responsible for the constitutive, developmental lignification in S. viridis. These results provide the basis for further understanding lignin deposition in C4 grasses and will ultimately allow the validation of biotechnological strategies to produce crops with enhanced processing properties.

Entities:  

Keywords:  Bioeconomy; Gene expression; Grasses; Lignin; Monolignol biosynthesis; Phenylpropanoids; Setaria viridis

Mesh:

Substances:

Year:  2019        PMID: 31254267     DOI: 10.1007/s11103-019-00897-9

Source DB:  PubMed          Journal:  Plant Mol Biol        ISSN: 0167-4412            Impact factor:   4.076


  111 in total

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