BackgroundThe 5’ region of cytochrome oxidase I (COI) is the standard marker for DNA barcoding. However, COI has proved to be of limited use in identifying some species, and for some taxa, the coding sequence is not efficiently amplified by PCR. These deficiencies lead to uncertainty as to whether COI is the most suitable barcoding fragment for species identification of ticks.MethodsIn this study, we directly compared the relative effectiveness of COI, 16S ribosomal DNA (rDNA), nuclear ribosomal internal transcribed spacer 2 (ITS2) and 12S rDNA for tick species identification. A total of 307 sequences from 84 specimens representing eight tick species were acquired by PCR. Besides the 1,834 published sequences of 189 tick species from GenBank and the Barcode of Life Database, 430 unpublished sequences representing 59 tick species were also successfully screened by Bayesian analyses. Thereafter, the performance of the four DNA markers to identify tick species was evaluated by identification success rates given by these markers using nearest neighbour (NN), BLASTn, liberal tree-based or liberal tree-based (+threshold) methods.ResultsGenetic divergence analyses showed that the intra-specific divergence of each marker was much lower than the inter-specific divergence. Our results indicated that the rates of correct sequence identification for all four markers (COI, 16S rDNA, ITS2, 12S rDNA) were very high (> 96%) when using the NN methodology. We also found that COI was not significantly better than the other markers in terms of its rate of correct sequence identification. Overall, BLASTn and NN methods produced higher rates of correct species identification than that produced by the liberal tree-based methods (+threshold or otherwise).ConclusionsAs the standard DNA barcode, COI should be the first choice for tick species identification, while 16S rDNA, ITS2, and 12S rDNA could be used when COI does not produce reliable results. Besides, NN and BLASTn are efficient methods for species identification of ticks.

Ticks, as a group, are second only to mosquitoes as vectors of pathogens to humans and are the primary vector for pathogens of livestock, companion animals, and wildlife. The role of ticks in the transmission of viruses has been known for over 100 years and yet new pathogenic viruses are still being detected and known viruses are continually spreading to new geographic locations. Partly as a result of their novelty, tick-virus interactions are at an early stage in understanding. For some viruses, even the principal tick-vector is not known. It is likely that tick-borne viruses will continue to emerge and challenge public and veterinary health long into the twenty-first century. However, studies focusing on tick saliva, a critical component of tick feeding, virus transmission, and a target for control of ticks and tick-borne diseases, point toward solutions to emerging viruses. The aim of this review is to describe some currently emerging tick-borne diseases, their causative viruses, and to discuss research on virus-tick interactions. Through focus on this area, future protein targets for intervention and vaccine development may be identified.

To control the spread of tick-borne diseases, there is an urgent need to develop a reliable technique that can distinguish different species of ticks. DNA barcoding has been proved to be a powerful tool to identify species of arthropods, but this technique has not yet been developed for identifying ticks. Here, we screened and analyzed 1082 sequences of ticks from BOLD system and GenBank, consisting of 647 16S, 325 COI, and 110 18S. These sequences are reported in previous studies and considered to be correctly identified at the species level. Through the analyses of genetic divergences and neighbor-joining (NJ) phylogenetic relationships between the species of ticks, our results show that COI and 16S are reliable in discriminating species of ticks and the 18S could discriminate ticks at the genera level. New universal primers for 16S, 18S, and COI of ticks were designed and a DNA barcoding system for the Ixodida was developed. To assess the performance of this system, 57 specimens of ticks were collected within China. Our results show that DNA barcoding system could correctly identify the species of specimens in adult and subadult stages. This system would assist non-taxonomists to conveniently identify the species of Ixodida based on DNA sequences rather than morphological traits. However, there are still serious deficiencies in the information of 16S and COI of some species of ticks, and additional research is needed to resolve this problem.

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.