Paris is famous in China for its medicinal value and has been included in the Chinese Pharmacopoeia. Inaccurate identification of these species could confound their effective exploration, conservation, and domestication. Due to the plasticity of the morphological characteristics, correct identification among Paris species remains problematic. In this regard, we report the complete chloroplast genome of P. thibetica and P. rugosa to develop highly variable molecular markers. Comparing three chloroplast genomes, we sought out the most variable regions to develop the best cpDNA barcodes for Paris. The size of Paris chloroplast genome ranged from 162,708 to 163,200 bp. A total of 134 genes comprising 81 protein coding genes, 45 tRNA genes and 8 rRNA genes were observed in all three chloroplast genomes. Eight rapidly evolving regions were detected, as well as the difference of simple sequence repeats (SSR) and repeat sequence. Two regions of the coding gene ycf1, ycf1a and ycf1b, evolved the quickest and were proposed as core barcodes for Paris. The complete chloroplast genome sequences provide more integrated and adequate information for better understanding the phylogenetic pattern and improving efficient discrimination during species identification.
The pantropical plant genus Dalbergia comprises approximately 250 species, most of which have a high economic and ecological value. However, these species are among the most threatened due to illegal logging and the timber trade. To enforce protective legislation and ensure effective conservation of Dalbergia species, the identity of wood being traded must be accurately validated. For the rapid and accurate identification of Dalbergia species and assessment of phylogenetic relationships, it would be highly desirable to develop more effective DNA barcodes for these species. In this study, we sequenced and compared the chloroplast genomes of nine species of Dalbergia. We found that these chloroplast genomes were conserved with respect to genome size, structure, and gene content and showed low sequence divergence. We identified eight mutation hotspots, namely, six intergenic spacer regions (trnL-trnT, atpA-trnG, rps16-accD, petG-psaJ, ndhF-trnL, and ndhG-ndhI) and two coding regions (ycf1a and ycf1b), as candidate DNA barcodes for Dalbergia. Phylogenetic analyses based on whole chloroplast genome data provided the best resolution of Dalbergia, and phylogenetic analysis of the Fabaceae showed that Dalbergia was sister to Arachis. Based on comparison of chloroplast genomes, we identified a set of highly variable markers that can be developed as specific DNA barcodes.
Sorghum comprises 31 species that exhibit considerable morphological and ecological diversity. The phylogenetic relationships among Sorghum species still remain unresolved due to lower information on the traditional DNA markers, which provides a limited resolution for identifying Sorghum species. In this study, we sequenced the complete chloroplast genomes of Sorghum sudanense and S. propinquum and analyzed the published chloroplast genomes of S. bicolor and S. timorense to retrieve valuable chloroplast molecular resources for Sorghum. The chloroplast genomes ranged in length from 140,629 to 140,755 bp, and their gene contents, gene orders, and GC contents were similar to those for other Poaceae species but were slightly different in the number of SSRs. Comparative analyses among the four chloroplast genomes revealed 651 variable sites, 137 indels, and nine small inversions. Four highly divergent DNA regions (rps16-trnQ, trnG-trnM, rbcL-psaI, and rps15-ndhF), which were suitable for phylogenetic and species identification, were detected in the Sorghum chloroplast genomes. A phylogenetic analysis strongly supported that Sorghum is a monophyletic group in the tribe Andropogoneae. Overall, the genomic resources in this study could provide potential molecular markers for phylogeny and species identification in Sorghum.
Rice is the most important crop in the world as the staple food for over half of the population. The wild species of Oryza represent an enormous gene pool for genetic improvement of rice cultivars. Accurate and rapid identification of these species is critical for effective utilization of the wild rice germplasm. In this study, we developed valuable chloroplast molecular markers by comparing the chloroplast genomes for species identification. Four chloroplast genomes of Oryza were newly sequenced on the Illumina HiSeq platform and other 14 Oryza species chloroplast genomes from Genbank were simultaneously taken into consideration for comparative analyses. Among 18 Oryza chloroplast genomes, five variable regions (rps16-trnQ, trnTEYD, psbE-petL, rpoC2 and rbcL-accD) were detected for DNA barcodes, in addition to differences in simple sequence repeats (SSR) and repeat sequences. The highest species resolution (72.22%) was provided by rpoC2 and rbcL-accD with distance-based methods. Three-marker combinations (rps16-trnQ + trnTEYD + rbcL-accD, rps16-trnQ + trnTEYD + rpoC2 and rpoC2 + trnTEYD + psbE-petL) showed the best species resolution (100%). Phylogenetic analysis based on the chloroplast genome provided the best resolution of Oryza. In the comparison of chloroplast genomes in this study, identification of the most variable regions and assessment of the focal regions of divergence were efficient in developing species-specific DNA barcodes. Based on evaluation of the chloroplast genomic resources, we conclude that chloroplast genome sequences are a reliable and valuable molecular marker for exploring the wild rice genetic resource in rice improvement.
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