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1.
BMC Genomics ; 20(1): 667, 2019 Aug 22.
Article in English | MEDLINE | ID: mdl-31438854

ABSTRACT

BACKGROUND: Histone modifications play a significant role in the regulation of transcription and various biological processes, such as development and regeneration. Though a few genomic (including DNA methylation patterns) and transcriptomic studies are currently available in switchgrass, the genome-wide distribution of histone modifications has not yet been studied to help elucidate gene regulation and its application to switchgrass improvement. RESULTS: This study provides a comprehensive epigenomic analyses of two contrasting switchgrass ecotypes, lowland (AP13) and upland (VS16), by employing chromatin immunoprecipitation sequencing (ChIP-Seq) with two histone marks (suppressive- H3K9me2 and active- H4K12ac). In this study, most of the histone binding was in non-genic regions, and the highest enrichment was seen between 0 and 2 kb regions from the transcriptional start site (TSS). Considering the economic importance and potential of switchgrass as a bioenergy crop, we focused on genes, transcription factors (TFs), and pathways that were associated with C4-photosynthesis, biomass, biofuel production, biotic stresses, and abiotic stresses. Using quantitative real-time PCR (qPCR) the relative expression of five genes selected from the phenylpropanoid-monolignol pathway showed preferential binding of acetylation marks in AP13 rather than in VS16. CONCLUSIONS: The genome-wide histone modifications reported here can be utilized in understanding the regulation of genes important in the phenylpropanoid-monolignol biosynthesis pathway, which in turn, may help understand the recalcitrance associated with conversion of biomass to biofuel, a major roadblock in utilizing lignocellulosic feedstocks.


Subject(s)
Genomics , Histones/metabolism , Panicum/genetics , Acetylation , Cell Respiration , Epigenomics , Genome, Plant/genetics , Histones/chemistry , Lysine/metabolism , Methylation , Panicum/cytology , Panicum/metabolism , Photosynthesis/genetics , Transcription Factors/metabolism
2.
Plant Cell Rep ; 36(1): 129-150, 2017 Jan.
Article in English | MEDLINE | ID: mdl-27812750

ABSTRACT

KEY MESSAGE: Transcriptomes of two switchgrass genotypes representing the upland and lowland ecotypes will be key tools in switchgrass genome annotation and biotic and abiotic stress functional genomics. Switchgrass (Panicum virgatum L.) is an important bioenergy feedstock for cellulosic ethanol production. We report genome-wide transcriptome profiling of two contrasting tetraploid switchgrass genotypes, VS16 and AP13, representing the upland and lowland ecotypes, respectively. A total of 268 million Illumina short reads (50 nt) were generated, of which, 133 million were obtained in AP13 and the rest 135 million in VS16. More than 90% of these reads were mapped to the switchgrass reference genome (V1.1). We identified 6619 and 5369 differentially expressed genes in VS16 and AP13, respectively. Gene ontology and KEGG pathway analysis identified key genes that regulate important pathways including C4 photosynthesis, photorespiration and phenylpropanoid metabolism. A series of genes (33) involved in photosynthetic pathway were up-regulated in AP13 but only two genes showed higher expression in VS16. We identified three dicarboxylate transporter homologs that were highly expressed in AP13. Additionally, genes that mediate drought, heat, and salinity tolerance were also identified. Vesicular transport proteins, syntaxin and signal recognition particles were seen to be up-regulated in VS16. Analyses of selected genes involved in biosynthesis of secondary metabolites, plant-pathogen interaction, membrane transporters, heat, drought and salinity stress responses confirmed significant variation in the relative expression reflected in RNA-Seq data between VS16 and AP13 genotypes. The phenylpropanoid pathway genes identified here are potential targets for biofuel conversion.


Subject(s)
Ecotype , Gene Expression Profiling , Panicum/genetics , Down-Regulation/genetics , Gene Expression Regulation, Plant , Genes, Plant , Genotype , Real-Time Polymerase Chain Reaction , Reproducibility of Results , Sequence Analysis, RNA , Signal Transduction/genetics , Stress, Physiological/genetics , Up-Regulation/genetics
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