Genetic information of polymerase chain reaction (PCR)-based markers, one of the main tools of genetics and genomics research in wheat, have been well documented in wheat. However, the physical position in relation to these markers has not yet been systematically characterized. Aim of this study was to characterize the physical information of thousands of widely usedmolecular markers.We first assigned 2705 molecular markers to wheat physical map, of which 86.1% and 84.7% were the best hits to chromosome survey sequencing (CSS) project (CSS-contigs) and International Wheat Genome Sequencing Consortium Reference Sequence v1.0 (IWGSC RefSeq v1.0), respectively. Physical position of 96.2% markers were predicated based on BLAST analysis, were in accordance with that of the previous nullisomic/aneuploidy/linkage analysis. A suggestive high-density physical map with 4643 loci was constructed, spanning 14.01 Gb (82.4%) of the wheat genome, with 3.02Mb between adjacent markers. Both forward and reverse primer sequences of 1166 markers had consistent best hits to IWGSC RefSeq v1.0 based on BLAST analysis, and the corresponding allele sizes were characterized. A detailed physical map with 1532 loci was released, spanning 13.93 Gb (81.9%) of the wheat genome, with 9.09Mb between adjacent markers. Characteristic of recombination rates in different chromosomal regions was discussed. In addition, markers with multiple sites were aligned to homoeologous sites with a consistent order, confirming that a collinearity existed among A, B and D subgenomes. This study facilitates the integration of physical and genetical information of molecular markers, which could be of value for use in genetics and genomics research such as gene/QTL map-based cloning and marker-assisted selection.

The endangered medicinal plant Glehnia littoralis is one of the important natural source of furanocoumarin, which has been used as mucolytic, antitussive, antitumour and antibacterial. However, the genetic information of furanocoumarin biosynthesis in G. littoralis is scarce at present. The objective of this study was to mine the putative candidate genes involved in the biosynthesis pathwayof furanocoumarin and provide references for gene identification, and functional genomics of G. littoralis. We carried out the transcriptome analysis of leaves and roots in G. littoralis, which provided a dataset for gene mining. Psoralen, imperatorin and isoimperatorin were detected in G. littoralis by high performance liquid chromatography analysis. Candidate key genes were mined based on the annotations and local BLAST with homologous sequences using BioEdit software. The relative expression of genes was analysed using quantitative real-time polymerase chain reaction. Further, the CYP450 genes were mined using phylogenetic analyses using MEGA 6.0 software. Atotal of 156,949 unigenes were generated, of which 9021 were differentially-expressed between leaves and roots. A total of 82 unigenes encoding eight enzymes in furanocoumarin biosynthetic pathway were first obtained. Seven genes that encoded key enzymes in the downstream furanocoumarin biosynthetic pathway and expressed more in roots than leaves were screened. Twenty-six candidate CYP450 unigenes expressed abundantly in roots and were chiefly concentrated in CYP71, CYP85 and CYP72 clans. Finally, we filtered 102 differentially expressed transcription factors (TFs) unigenes. The transcriptome of G. littoralis was characterized which would help to elucidate the furanocoumarin biosynthetic pathway in G. littoralis and provide an invaluable resource for further study of furanocoumarin.