Phylotranscriptomic analysis of Dillenia indica L. (Dilleniales, Dilleniaceae) and its systematics implication

Abstract

The recent massive development in the next-generation sequencing platforms and bioinformatics tools including cloud based computing have proven extremely useful in understanding the deeper-level phylogenetic relationships of angiosperms. The present phylotranscriptomic analyses address the poorly known evolutionary relationships of the order Dilleniales to order of the other angiosperms using the minimum evolution method. The analyses revealed the nesting of the representative taxon of Dilleniales in the MPT but distinct from the representative of the order Santalales, Caryophyllales, Asterales, Cornales, Ericales, Lamiales, Saxifragales, Fabales, Malvales, Vitales and Berberidopsidales.

Transcriptome characterization of Larrea tridentata and identification of genes associated with phenylpropanoid metabolic pathways

“…Transcriptome, the entire pool of transcripts in an organism or single cell at certain physiological or pathological stage, is indispensable in unravelling the connection and regulation between DNA and protein; thus, a transcriptome captures a snapshot in time of the total transcripts present in a cell [12]. The next generation RNA sequencing (RNA seq) has evolved as one of the most widely used techniques for cost-effective and massive amounts of high quality gene expression data within a shorter time [12][13][14] in the absence of a reference genome [15][16][17]. The RNA seq/transcriptome analyses connect the genomic information into the discovery of gene function [18].…”

“…The RNA seq/transcriptome analyses connect the genomic information into the discovery of gene function [18]. During the last decade, the transcriptome analyses have propelled the understanding of genomic information, regulatory mechanisms of the genome, and their biological implications [19] e.g., metabolic pathway [20][21][22], comparative transcriptomics [23] and evolutionary genomics [14,24]. In recent years, the characterization of the transcriptome of medicinal plants has widely been studied to discover the secondary metabolic pathways and the related genes responsible for the production of effective natural products required for further pharmaceutical research [25] and metabolic engineering [26].…”