|Title||De Novo Transcriptome Assembly and Analyses of Gene Expression during Photomorphogenesis in Diploid Wheat Triticum monococcum.|
|Publication Type||Journal Article|
|Year of Publication||2014|
|Authors||Fox, SE, Geniza, M, Hanumappa, M, Naithani, S, Sullivan, CM, Preece, J, Tiwari, VIK, Elser, J, Leonard, JM, Sage, A, Gresham, C, Kerhornou, A, Bolser, D, McCarthy, F, Kersey, P, Lazo, GR, Jaiswal, P|
|Keywords||de novo transcriptome assembly, photomorphogenesis, RNA-Seq, Triticum monococcum, wheat A genome|
Background Triticum monococcum (2n) is a close ancestor of T. urartu, the A-genome progenitor of cultivated hexaploid wheat, and is therefore a useful model for the study of components regulating photomorphogenesis in diploid wheat. In order to develop genetic and genomic resources for such a study, we constructed genome-wide transcriptomes of two Triticum monococcum subspecies, the wild winter wheat T. monococcum ssp. aegilopoides (accession G3116) and the domesticated spring wheat T. monococcum ssp. monococcum (accession DV92) by generating de novo assemblies of RNA-Seq data derived from both etiolated and green seedlings. Principal Findings The de novo transcriptome assemblies of DV92 and G3116 represent 120,911 and 117,969 transcripts, respectively. We successfully mapped 90% of these transcripts from each accession to barley and 95% of the transcripts to T. urartu genomes. However, only 77% transcripts mapped to the annotated barley genes and 85% transcripts mapped to the annotated T. urartu genes. Differential gene expression analyses revealed 22% more light up-regulated and 35% more light down-regulated transcripts in the G3116 transcriptome compared to DV92. The DV92 and G3116 mRNA sequence reads aligned against the reference barley genome led to the identification of 500,000 single nucleotide polymorphism (SNP) and 22,000 simple sequence repeat (SSR) sites. Conclusions De novo transcriptome assemblies of two accessions of the diploid wheat T. monococcum provide new empirical transcriptome references for improving Triticeae genome annotations, and insights into transcriptional programming during photomorphogenesis. The SNP and SSR sites identified in our analysis provide additional resources for the development of molecular markers.