ABSTRACT
The phenylpropanoid pathway is an important route of secondary metabolism involved in the synthesis of different phenolic compounds such as phenylpropenes, anthocyanins, stilbenoids, flavonoids, and monolignols. The flux toward monolignol biosynthesis through the phenylpropanoid pathway is controlled by specific genes from at least ten families. Lignin polymer is one of the major components of the plant cell wall and is mainly responsible for recalcitrance to saccharification in ethanol production from lignocellulosic biomass. Here, we identified and characterized sugarcane candidate genes from the general phenylpropanoid and monolignol-specific metabolism through a search of the sugarcane EST databases, phylogenetic analysis, a search for conserved amino acid residues important for enzymatic function, and analysis of expression patterns during culm development in two lignin-contrasting genotypes. Of these genes, 15 were cloned and, when available, their loci were identified using the recently released sugarcane genomes from Saccharum hybrid R570 and Saccharum spontaneum cultivars. Our analysis points out that ShPAL1, ShPAL2, ShC4H4, Sh4CL1, ShHCT1, ShC3H1, ShC3H2, ShCCoAOMT1, ShCOMT1, ShF5H1, ShCCR1, ShCAD2, and ShCAD7 are strong candidates to be bona fide lignin biosynthesis genes. Together, the results provide information about the candidate genes involved in monolignol biosynthesis in sugarcane and may provide useful information for further molecular genetic studies in sugarcane.
Subject(s)
Biosynthetic Pathways/genetics , Lignin/biosynthesis , Plant Proteins/genetics , Propanols/metabolism , Saccharum/genetics , Saccharum/metabolism , Gene Expression Regulation, Plant , Genotype , Lignin/genetics , Propanols/chemistry , Saccharum/classification , Saccharum/growth & developmentABSTRACT
Quantitative real-time PCR (RT-qPCR) is one of the most powerful and sensitive techniques to the study of gene expression. Several factors influence RT-qPCR performance though, including the stability of the reference genes used for data normalization. While the selection of appropriate reference genes is crucial for accurate and reliable gene expression analysis, no suitable reference genes have been previously identified in castor bean under drought stress. In this study, the expression stability of eleven mRNAs, thirteen microRNAs (miRNAs) and one small nuclear RNA were analyzed in roots and leaves across different levels of water deficit. Three different algorithms were employed to analyze the RT-qPCR data, and the resulting outputs were merged using a non-weighted unsupervised rank aggregation method. Our analysis indicated that the Elongation factor 1-beta (EF1B), Protein phosphatase 2A (PP2A) and ADP-ribosylation factor (ADP) ranked as the best candidates across diverse samples submitted to different levels of drought conditions. EF1B and Glyceraldehyde 3-phosphate dehydrogenase (GAPDH), and EF1B and SKP1/ASK-interacting protein 16 (SKIP16) were found as the most suitable reference genes for expression analysis in roots and leaves, respectively. In addition, miRNAs miR168, miR160 and miR397 were selected as optimal reference genes across all tissues and treatments. miR168 and miR156 were recommended as reference for roots, while miR168 and miR160 were recommended for leaves. Together, our results constitute the first attempt to identify and validate the most suitable reference genes for accurate normalization of gene expression in castor bean under drought stress.
Subject(s)
Droughts , MicroRNAs/genetics , Real-Time Polymerase Chain Reaction/methods , Real-Time Polymerase Chain Reaction/standards , Ricinus communis/genetics , Stress, Physiological/genetics , Databases, Genetic , Gene Expression Profiling , Gene Expression Regulation, Plant , Genetic Association Studies , MicroRNAs/metabolism , RNA, Messenger/genetics , RNA, Messenger/metabolism , Reference Standards , SoftwareABSTRACT
AtGRP3 is a glycine-rich protein (GRP) from Arabidopsis thaliana shown to interact with the receptor-like kinase AtWAK1 in yeast, in vitro and in planta. In this work, phenotypic analyses using transgenic plants were performed in order to better characterize this GRP. Plants of two independent knockout alleles of AtGRP3 develop longer roots suggesting its involvement in root size determination. Confocal microscopy analysis showed an abnormal cell division and elongation in grp3-1 knockout mutants. Moreover, we also show that grp3-1 exhibits an enhanced Aluminum (Al) tolerance, a feature also described in AtWAK1 overexpressing plants. Together, these results implicate AtGRP3 function root size determination during development and in Al stress.
