Literature DB >> 30107820

High genetic diversity in hard ticks from a China-Myanmar border county.

Lan-Hua Li1, Yi Zhang2, Jia-Zhi Wang3, Xi-Shang Li3, Shou-Qin Yin3, Dan Zhu2, Jing-Bo Xue2, Sheng-Guo Li4.   

Abstract

BACKGROUND: Many tick species have great morphological similarity and are thus grouped into species complexes. Molecular methods are therefore useful in the classification and identification of ticks. However, little is known about the genetic diversity of hard ticks in China, especially at the subspecies level. Tengchong is one of the epidemic foci of tick-borne diseases in China, but the tick species inhabiting the local area are still unknown.
METHODS: Eighteen villages in Tengchong County, China, were selected for sampling carried out from September to October 2014. Infesting hard ticks were removed from the body surface of domestic animals and questing ticks were collected from grazing fields. After morphological identification, molecular characteristics of each tick species were analyzed based on both 16S rRNA and cytochrome c oxidase subunit 1 (cox1) gene fragments.
RESULTS: Six tick species were identified based on morphology: Rhipicephalus microplus, R. haemaphysaloides, Ixodes ovatus, Haemaphysalis longicornis, H. shimoga and H. kitaokai. Phylogenetic analysis using the cox1 gene revealed that R. microplus ticks from the present study belong to clade C. For tick samples of both R. haemaphysaloides and I. ovatus, three phylogenetic groups were recognized, and the intergroup genetic distances exceeded the usual tick species boundaries. Haemaphysalis longicornis ticks were clustered into two separate clades based on the cox1 gene. For ticks from both H. shimoga and H. kitaokai, two phylogenetic groups were recognized based on the phylogenetic analysis of the 16S rRNA gene, and the intergroup genetic distances also exceeded the known boundaries for closely related tick species.
CONCLUSIONS: According to molecular analyses, new species or subspecies closely related to R. haemaphysaloides, I. ovatus, H. shimoga and H. kitaokai probably exist in the China-Myanmar border Tengchong County, or these ticks form species complexes with highly divergent mitochondrial lineages. Morphological comparisons are warranted to further confirm the taxonomic status of these tick species.

Entities:  

Keywords:  16S rRNA gene; China; Genetic diversity; Hard tick; Tengchong County; cox1 gene

Mesh:

Substances:

Year:  2018        PMID: 30107820      PMCID: PMC6092835          DOI: 10.1186/s13071-018-3048-5

Source DB:  PubMed          Journal:  Parasit Vectors        ISSN: 1756-3305            Impact factor:   3.876


Background

Hard ticks (Acari: Ixodidae) are obligate blood-sucking parasitic arthropods which can infest reptiles, birds and mammals [1]. They transmit a wide range of pathogens of both veterinary and medical importance, including bacteria, viruses, protozoa, etc. Moreover, new pathogens are continuously being identified from ticks [2, 3]. Therefore, hard ticks are usually considered to be the most important vectors of pathogens in the temperate zone [4]. China covers approximately 9.6 million square kilometers of land area. At least 117 tick species from seven genera have been reported in China [5]. In recent years, the reported number of tick-borne infections has increased in this country. Since 1982, more than 30 emerging tick-borne agents have been recognized [1, 6–9], including severe fever with thrombocytopenia syndrome virus, Borrelia burgdorferi (sensu lato), Babesia spp., the spotted fever group rickettsiae, Ehrlichia, Anaplasma, etc. Thus, tick-borne diseases are considered to be an emerging threat to public health in mainland China. Identification of tick species is essential to the control of tick-borne diseases. However, traditional morphological identification requires extensive experience and can be challenging when the specimens are engorged with blood, in immature stages (larva or nymph stage) or physically damaged [10]. Therefore, molecular methods based on DNA barcoding, including the 16S rRNA gene and the cytochrome c oxidase subunit 1 (cox1) gene, are useful in the classification of ticks. Moreover, many tick species have great morphological similarity and are thus grouped into species complexes. Thus, molecular analysis can expand our knowledge of ticks. However, little is known about the genetic diversity of hard ticks in China, especially at the subspecies level. Tengchong County of Yunnan Province is located on the southwest border of China (24°38'–25°52'N, 98°05'–98°45'E). It is adjacent to Myanmar on the west, and more than 70% of the land is covered by forest. The county is inhabited by a wide variety of wild animals and arthropods. Several human cases of tick-borne infections have also been reported there in recent years [11]. Hence, Tengchong is considered to be one of the epidemic foci of tick-borne diseases. However, the tick species inhabiting the local area are still unknown. In the present study, we conducted a survey from September to October 2014, to investigate the distribution of tick species in Tengchong County. Molecular classification was then performed, and genetic diversity was analyzed for both the 16S rRNA gene and the cox1 mitochondrial gene.

Methods

Tick collection and morphological identification

A total of 18 villages with a relatively large amount of livestock were arbitrary selected from 14 towns of Tengchong County (Fig. 1 and Table 1). Infesting ticks were collected from the body surface of domestic animals, including cattle, goats and dogs, from September to October 2014. After collection of infesting ticks, questing ticks were collected with a white drag cloth from the grazing locations. The ticks were preserved in 75% ethanol for further analysis. All ticks were identified to the species level under a dissecting microscope (Olympus Corporation, Tokyo, Japan) based on morphology [12]. The specimens were then stored at -20 °C for subsequent processing.
Fig. 1

Geographical locations for tick collection in the present study

Table 1

Information on locations of tick collection and distribution of tick species in Tengchong County, Yunnan Province, China

LocationaLatitudeLongitudeElevation (m) R. m. R. h. I. o. H. l. H. k. H. s.
Suqing, Xinhua24.6819598.465201110××
Langpu, Hehua24.9203698.408811334
Payun, Tuantian24.7664598.630971469×
Shuanglong, Qushi25.2332598.607831542×
Dazhuang, Heshun25.0224398.465501579×××
Minzheng, Zhonghe25.1342398.407631724××
Dianju, Gudong25.2931298.499351763×
Yongxing, Houqiao25.1486398.222101812×××
Heping, Gudong25.2813898.463551812×
Xinqi, Zhonghe25.0749598.296901824×
Guantian, Wuhe24.9328798.724021830×××
Shunlong, Mingguang25.4882098.544531857××
Lunma, Houqiao25.4038398.280071966×××
Zhoujiapo, Jietou25.5827398.716221986××
Zizhi, Mingguang25.7156898.540132059××
Lianzu, Diantan25.5414798.366932071××
Machang, Mangbang24.9720098.577282163×××
Dayun, Mazhan25.1296598.449572560××

Abbreviations: R. m. Rhipicephalus microplus, R. h. R. haemaphysaloides, I. o. Ixodes ovatus, H. l. Haemaphysalis longicornis, H. k. H. kitaokai, H. s. H. shimoga

aVillage, town

Geographical locations for tick collection in the present study Information on locations of tick collection and distribution of tick species in Tengchong County, Yunnan Province, China Abbreviations: R. m. Rhipicephalus microplus, R. h. R. haemaphysaloides, I. o. Ixodes ovatus, H. l. Haemaphysalis longicornis, H. k. H. kitaokai, H. s. H. shimoga aVillage, town

DNA extraction

Ticks were rinsed 3 times for 1 min by vortex in 75% ethanol and then washed 3 times in sterile phosphate-buffered saline (PBS). DNA was extracted individually with a DNeasy Blood & Tissue Kit (Qiagen, Hilden, Germany) according to the manufacturer’s protocol.

PCR amplification of the tick 16S rRNA gene and cox1 gene

For each tick species, at least 15 DNA specimens were selected for PCR amplification using primers targeting the 16S rRNA gene fragment (16S+1: 5'-CCG GTC TGA ACT CAG ATC AAG T-3' and 16S-1: 5'-CTG CTC AAT GAT TTT TTA AAT TGC TGT GG-3') [13]. For tick species with less than 15 individuals, all of the DNA samples were PCR amplified. As two Ixodes ovatus groups were identified by subsequent molecular analysis, all of the specimens of I. ovatus ticks were PCR amplified using the primer set 16S+1 and 16S-1. The PCR was performed using a C1000 Touch™ Thermal Cycler (Bio-Rad Laboratories, Irvine, CA, USA) under the following conditions: 95 °C for 5 min, followed by 35 cycles of 95 °C for 30 s, 57 °C for 30 s and 72 °C for 40 s, ending at 72 °C for 10 min. Each 20 μl PCR mixture contained 10 μl of 2× PCR Master Mix (with dyes, DBI® Bioscience, Shanghai, China), 1 μl of each primer (5 mM), 6 μl of water and 2 μl of DNA sample. The PCR products were then purified and sequenced by Sangon Biotech (Shanghai, China). For each tick species, at least 2 specimens were selected based on the results of the molecular analysis of the 16S rRNA gene. The selected specimens were further PCR amplified using primers targeting the cox1 gene (LCO1490: 5'-GGT CAA CAA ATC ATA AAG ATA TTG G-3' and HCO2198: 5'-TAA ACT TCA GGG TGA CCA AAA AAT CA-3') [14]. The PCR for the cox1 gene was performed under the same conditions as the amplification of the 16S rRNA gene fragment.

Molecular analysis of the tick 16S rRNA gene and cox1 gene

Sequences of both the 16S rRNA gene and the cox1 gene were compared with the available data on GenBank using Blast on the NCBI website (https://blast.ncbi.nlm.nih.gov/Blast.cgi) after trimming the low-quality sequences at both ends. Representative 16S rRNA or cox1 gene sequences of Rhipicephalus microplus, R. haemaphysaloides, R. sanguineus and R. turanicus were downloaded from GenBank for phylogenetic analysis of Rhipicephalus species [15]. Similarly, 16S rRNA or cox1 gene sequences of I. ovatus and species close to I. ovatus were downloaded from GenBank based on the results of BLAST, including I. vespertilionis and I. canisuga [16-18]. Using the same methods, representative sequences of several Haemaphysalis species were also downloaded, including H. shimoga, H. erinacei, H. cornigera, H. parva and H. kitaokai [19-23]. For R. microplus and H. longicornis, all of the 16S rRNA and cox1 sequences of ticks from China were downloaded. Multiple sequence alignments were then conducted in Clustal W2, and the neighbor-joining (NJ) method was applied to construct a phylogenetic tree with 1000 replicates using MEGA 5.1 software [24]. To further determine the intraspecies and interspecies genetic distances among Ixodes, Rhipicephalus and Haemaphysalis ticks, pairwise Kimura’s 2-parameter (K2P) distances were also calculated using the 16S rRNA gene or cox1 gene in MEGA.

Results

Morphological identification of ticks

As shown in Table 2, 981 domestic animals were examined, including 837 goats, 113 cattle and 31 dogs. Among all the examined animals, 198 (20.2%) were infested by ticks. A total of 903 infesting ticks were collected from the animals. Among all the infesting ticks, 652 were identified as R. microplus [25], 36 as R. haemaphysaloides [26], 29 as H. longicornis [26] and 186 as I. ovatus [27, 28] according to the identification key for adult ticks described by Deng & Jiang [12]. Ixodes ovatus and H. longicornis were collected only from goats, R. microplus ticks were collected from both goats and cattle, and R. haemaphysaloides were found on all three animal species (Table 2).
Table 2

Tick species infesting different domestic animals in Tengchong County, Yunnan Province, China

Animals N No. infested (%)Tick species
R. microplus R. haemaphysaloides I. ovatus H. longicornis
Goats837149 (17.8)258218629
Cattle11347 (41.6)3941800
Dogs312 (6.5)01600
Total981198 (20.2)6523618629
Tick species infesting different domestic animals in Tengchong County, Yunnan Province, China A total of 558 questing ticks were collected. All of the questing ticks were larvae except for one I. ovatus adult. Among the questing larvae, 459 were identified as R. microplus (after Deng & Jiang [12]; figure 352); 62 as H. longicornis (after Deng & Jiang [12]; figure 167); 4 as H. shimoga [29]; and 32 as H. kitaokai [30].

Molecular identification and classification of ticks by nucleotide BLAST

Morphological identifications for R. microplus, R. haemaphysaloides and H. longicornis ticks were consistent with GenBank BLAST using sequences of both the 16S rRNA and the cox1 genes, with sequence identity of 98–100% to sequences of the corresponding tick species (Additional file 1: Table S1 and Additional file 2: Table S2). For the 16S rRNA gene sequences of I. ovatus from the present study, the closest sequence was from an I. ovatus isolate collected in Yunnan, China (GenBank: KU664519.1), with a sequence similarity of 92–97% (Additional file 1: Table S1). A total of 15 specimens of I. ovatus were analyzed using the cox1 gene. According to the results of the cox1 gene BLAST, 2 I. ovatus specimens were closest to I. canisuga (GenBank: KY962049.1), with a sequence similarity of 83%, while 13 other I. ovatus ticks were closest to an I. ovatus isolate from Japan (GenBank: AB231670.1), with 87–88% sequence similarity (Additional file 2: Table S2). For the 16S rRNA gene sequences of H. shimoga, the closest sequence was from a H. shimoga isolate collected from India (GenBank: MH044717.1), with a similarity of 95%, while the sequences of H. kitaokai from this study were closest to the sequence of a H. kitaokai isolate from Japan (GenBank: AB819202.1), with a similarity of 94% (Additional file 1: Table S1). No cox1 sequence of H. shimoga was available in the GenBank database; hence the cox1 sequence closest to H. shimoga from this study was from I. erinacei (GenBank: KX901844.1), with a sequence similarity of 90%. The closest cox1 sequences to those for H. kitaokai generated here were from H. concinna (GenBank: JX573136.1), with a sequence similarity of 90% (Additional file 2: Table S2).

Phylogenetic analyses and genetic distances for R. microplus and R. haemaphysaloides

At least 4 taxa have been reported in the R. microplus complex based on phylogenetic analysis of the 16S rRNA gene: R. annulatus, R. australis and R. microplus clades A and B [31, 32]. All R. microplus ticks collected during the present study were clustered into one clade, together with other R. microplus isolates from Yunnan Province of China and two Indian isolates (Fig. 2). The mean K2P distances within the group ranged between 0–0.008, while the distances between groups ranged between 0.010–0.022 (Additional file 3: Table S3).
Fig. 2

Phylogenetic tree for R. microplus based on the 16S rRNA gene, including sequences obtained in the present study and representative sequences of the known subspecies-level taxa from GenBank. The sequences generated in the present study are indicated with a star

Phylogenetic tree for R. microplus based on the 16S rRNA gene, including sequences obtained in the present study and representative sequences of the known subspecies-level taxa from GenBank. The sequences generated in the present study are indicated with a star According to phylogenetic analysis based on the cox1 gene, 5 taxa of R. microplus have been reported [31]. The ticks identified as R. microplus in the present study and two isolates from India clustered into clade B based on cox1 gene analysis (Additional file 4: Figure S1). The mean K2P distances within and between groups ranged between 0–0.030 and 0.059–0.100, respectively (Additional file 5: Table S4). For R. haemaphysaloides ticks, 36 sequences of 16S rRNA gene fragments from the present study were analyzed, and 3 genetic groups were recognized. Twenty-six specimens from the present study and 10 from Taiwan of China formed Group 1; 2 ticks from India formed Group 2; and 12 specimens were clustered together and formed Group 3, including 10 from the present study, 1 from Thailand and 1 from Yunnan Province of China (Fig. 3). The mean K2P distances within groups ranged between 0–0.025, while the mean distances between groups were 0.058–0.075 (Additional file 6: Table S5).
Fig. 3

Phylogenetic tree for R. haemaphysaloides based on the 16S rRNA gene, including sequences obtained in the present study and sequences retrieved from GenBank. The sequences generated in the present study are indicated with a star

Phylogenetic tree for R. haemaphysaloides based on the 16S rRNA gene, including sequences obtained in the present study and sequences retrieved from GenBank. The sequences generated in the present study are indicated with a star

Phylogenetic analyses and genetic distances for Ixodes ovatus

For I. ovatus ticks, 34 sequences of 16S rRNA gene from the present study were selected for phylogenetic analysis, and 3 genetic groups of I. ovatus were recognized. Ixodes ovatus collected in Japan and the USA clustered together and formed Group 1, 7 specimens from the present study and one from another location of China formed Group 2, while other specimens from the present study formed Group 3 (Fig. 4). The mean K2P distances between groups ranged between 0.079–0.102, while the mean genetic distances within groups ranged between 0–0.009 (Additional file 7: Table S6).
Fig. 4

Phylogenetic tree for I. ovatus based on the 16S rRNA gene, including sequences obtained in the present study and representative sequences from GenBank. The sequences generated in the present study are indicated with a star

Phylogenetic tree for I. ovatus based on the 16S rRNA gene, including sequences obtained in the present study and representative sequences from GenBank. The sequences generated in the present study are indicated with a star Similarly, phylogenetic analysis based on the cox1 gene also revealed that I. ovatus ticks clustered into 3 separate groups (Additional file 8: Figure S2). The K2P distances within and between groups ranged between 0.002–0.010 and 0.142–0.189, respectively (Additional file 9: Table S7).

Phylogenetic analyses and genetic distances for Haemaphysalis spp.

According to phylogenetic analysis of the 16S rRNA gene, all specimens of H. longicornis from the present study and GenBank formed a single clade (Additional file 10: Figure S3). The pairwise K2P distances of the 16S rRNA gene ranged between 0–0.012 (Additional file 11: Table S8). However, H. longicornis formed two separate clades based on the cox1 gene (Fig. 5). Strains from Hebei, Hubei and Gansu of China clustered together, while strains from the present study and those from Australia and Zhejiang, Shanghai, Anhui, Henan of China formed another clade. The pairwise K2P distances between ticks from the two clades ranged between 0.019–0.031, while the distances between ticks from the same clade ranged between 0–0.008 (Additional file 12: Table S9).
Fig. 5

Phylogenetic tree for H. longicornis based on the cox1 gene, including sequences obtained in the present study and representative sequences from GenBank. The sequences generated in the present study are indicated with a star

Phylogenetic tree for H. longicornis based on the cox1 gene, including sequences obtained in the present study and representative sequences from GenBank. The sequences generated in the present study are indicated with a star For H. shimoga ticks, 4 sequences of 16S rRNA gene from the present study were selected for phylogenetic analysis, and 2 genetic groups were recognized: H. shimoga collected from India and Thailand clustered together, while all of the specimens from the present study formed a separate group (Fig. 6). Similarly, 2 genetic groups were recognized for H. kitaokai: all H. kitaokai ticks from this study formed a separate clade, while H. kitaokai ticks from Japan clustered together. The intergroup K2P distance ranged between 0.051–0.057 for H. shimoga and between 0.054–0.060 for H. kitaokai (Additional file 13: Table S10).
Fig. 6

Phylogenetic tree for H. kitaokai and H. shimoga based on the 16S rRNA gene, including sequences obtained in the present study and representative sequences of closely related tick species from GenBank. The sequences generated in the present study are indicated with a star

Phylogenetic tree for H. kitaokai and H. shimoga based on the 16S rRNA gene, including sequences obtained in the present study and representative sequences of closely related tick species from GenBank. The sequences generated in the present study are indicated with a star

Discussion

Little is known about the genetic diversity of hard ticks in China, especially at the subspecies level [33]. In the present study, we conducted a survey on hard ticks in a China-Myanmar border county of Yunnan Province and analyzed the molecular characteristics of each tick species based on 16S rRNA and cox1 gene fragments. Several tick species were identified based on morphology, including R. microplus, R. haemaphysaloides, I. ovatus, H. longicornis, H. shimoga and H. kitaokai. Rhipicephalus microplus was found to be the most predominant tick species in the local area (Table 1). This species is widespread in tropical and subtropical regions and is considered to be the most important tick species infesting livestock in the world. In the present study, the R. microplus complex consisted of morphologically similar species difficult to distinguish. At least five taxa have been confirmed by phylogenetic analysis based on DNA barcoding, including R. australis, R. annulatus and R. microplus clades A-C [31, 32]. However, genetic diversity of R. microplus in China had not been analyzed. Our study revealed that, except for R. australis, all of the other four taxa were detected in China (Additional file 4: Figure S1). Ticks from the present study were clustered into R. microplus clade C; this clade also contains ticks from Myanmar, Bangladesh and Pakistan [34]. As far as we are aware, the genetic diversity of R. haemaphysaloides and I. ovatus had not been previously investigated. Three genetic groups were recognized based on analysis of 16S rRNA gene, and R. haemaphysaloides ticks from the present study were found to belong to two of the three groups (Fig. 3). The pairwise genetic distances between ticks from different R. haemaphysaloides groups exceeded the recommended boundaries for describing tick species based on the 16S rRNA gene [10]. In addition, the intergroup distances of R. haemaphysaloides were higher than the interspecies distances between R. sanguineus and R. turanicus (Additional file 6: Table S5). Similarly, three groups of I. ovatus were identified based on both genes (Fig. 4 and Additional file 8: Figure S2), and the between-group K2P distances also exceeded the recommended species boundaries for ticks (0.053 for the 16S rRNA gene and 0.061 for the cox1 gene) [10, 35] (Additional file 7: Table S6 and Additional file 9: Table S7). Moreover, the genetic distances between ticks from different I. ovatus groups were higher than interspecies distances between I. vespertilionis and I. canisuga. The results suggest that different groups might represent distinct species or subspecies, or both R. haemaphysaloides and I. ovatus are species complexes with high genetic diversity. Unfortunately, morphological comparisons between groups were not performed in the present study. To further determine the taxonomic status of these phylogenetic groups, more studies are warranted to compare their morphological and molecular characteristics. Few studies have investigated the molecular characteristics of H. longicornis. Li et al. [36] analyzed the genetic variation of H. longicornis from Hunan, Henan and Shandong provinces using the internal transcribed spacer (ITS) of rDNA data and found that H. longicornis formed a monophyletic group. Similarly, all H. longicornis ticks formed a single clade based on phylogenetic analysis of the 16S rRNA gene in the present study (Additional file 10: Figure S3). However, they were clustered into two separate groups based on the cox1 gene (Fig. 5) and the intergroup genetic distances were higher than intragroup distances (Additional file 12: Table S9). These results suggest that cox1 sequences are probably more informative than 16S rRNA sequences in revealing the intraspecies phylogenetic relationships [31]. Chen et al. [37] compared the molecular characteristics of parthenogenetic and bisexual H. longicornis using the 16S rRNA gene. Their results showed that the genetic distance between the parthenogenetic and bisexual strains was closer than that between subspecies. Similarly, a phylogenetic tree cannot differentiate parthenogenetic strains from bisexual strains. For example, parthenogenetic strains from the present study and Shanghai are clustered together with bisexual strains from other regions (data not shown). Haemaphysalis shimoga was first described by Trapido & Hoogstraal in 1964 [29], and H. kitaokai was described by Hoogstraal in 1969 [30]. Little is known about the genetic diversity of these two species. In this study, two genetic groups were recognized for both H. shimoga and H. kitaokai based on phylogenetic analysis of 16S rRNA gene (Fig. 6). Hornok et al. [20] investigated the genetic divergence between ticks of different subspecies of H. erinacei. The results suggested that H. erinacei taurica and H. erinacei turanica might represent different species because the genetic divergence between them exceeded the usual divergence boundary for closely related tick species. In the present study, the intergroup genetic distances of both H. shimoga (0.051–0.057) and H. kitaokai (0.054–0.060) exceeded the distances between H. erinacei taurica and H. erinacei turanica (Additional file 13: Table S10), suggesting that the different groups of H. shimoga and H. kitaokai might represent distinct species or subspecies or that both species are species complexes with a high genetic diversity.

Conclusions

According to the phylogenetic analysis and K2P genetic distances based on 16S rRNA and cox1 genes, either new species or subspecies closely related to R. haemaphysaloides, I. ovatus, H. shimoga and H. kitaokai might exist in this China-Myanmar border county or these ticks form species complexes with highly divergent mitochondrial lineages. Morphological comparisons are warranted to further confirm the taxonomic status of these tick species. Table S1. The accession numbers for the 16S rRNA sequences generated in the present study and the closest species sequences from the GenBank database. (XLSX 20 kb) Table S2. The accession numbers for the cox1 sequences generated in the present study and the closest species sequences from the GenBank database. (XLSX 12 kb) Table S3. The pairwise K2P genetic distances for R. microplus and other closely related Rhipicephalus spp. based on the 16S rRNA gene. (XLSX 18 kb) Figure S1. Phylogenetic tree for R. microplus based on the cox1 gene, including sequences obtained in the present study and representative sequences of the known subspecies taxa from GenBank. Sequences obtained in this study are designated by an asterisk. (TIF 1139 kb) Table S4. The pairwise K2P genetic distances for R. microplus and other closely related Rhipicephalus spp. based on the cox1 gene. (XLSX 17 kb) Table S5. The pairwise K2P genetic distances for R. haemaphysaloides and other closely related Rhipicephalus spp. based on the 16S rRNA gene. (XLSX 22 kb) Table S6. The pairwise K2P genetic distances for I. ovatus and other closely related Ixodes spp. based on the 16S rRNA gene. (XLSX 19 kb) Figure S2. Phylogenetic tree for I. ovatus based on the cox1 gene, including sequences obtained in the present study and representative sequences from GenBank. Sequences obtained in this study are designated by an asterisk. (TIF 712 kb) Table S7. The pairwise K2P genetic distances for I. ovatus and other closely related Ixodes spp. based on the cox1 gene. (XLSX 13 kb) Figure S3. Phylogenetic tree for H. longicornis based on the 16S rRNA gene, including sequences obtained in the present study and representative sequences from GenBank. Sequences obtained in this study are designated by an asterisk. (TIF 1672 kb) Table S8. The pairwise K2P genetic distances for H. longicornis based on the 16S rRNA gene. (XLSX 45 kb) Table S9. The pairwise K2P genetic distances for H. longicornis based on the cox1 gene. (XLSX 13 kb) Table S10. The pairwise K2P distances of H. kitaokai, H. shimoga and other closely related species based on the 16S rRNA gene. (XLSX 14 kb)
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Authors:  Zhuo Chen; Qin Liu; Ji-Qi Liu; Bian-Li Xu; Shan Lv; Shang Xia; Xiao-Nong Zhou
Journal:  Parasit Vectors       Date:  2014-05-22       Impact factor: 3.876

10.  Molecular characterization of hard tick Haemaphysalis longicornis from China by sequences of the internal transcribed spacers of ribosomal DNA.

Authors:  Zhong-Bo Li; Guo-Hua Liu; Tian-Yin Cheng
Journal:  Exp Appl Acarol       Date:  2018-02-01       Impact factor: 2.132

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  6 in total

1.  Morphological and molecular identification of medically important questing Dermacentor species collected from some recreational areas of Peninsular Malaysia.

Authors:  Faraliana Che Lah Ernieenor; Dmitry A Apanaskevich; George Ernna; Bd Bilin Ellyncia; Badrul Munir Md Zain; Ahamad Mariana; Salmah Yaakop
Journal:  Syst Parasitol       Date:  2021-10-22       Impact factor: 1.431

2.  Detection of novel piroplasmid species and Babesia microti and Theileria orientalis genotypes in hard ticks from Tengchong County, Southwest China.

Authors:  Lan-Hua Li; Jia-Zhi Wang; Dan Zhu; Xi-Shang Li; Yan Lu; Shou-Qin Yin; Sheng-Guo Li; Yi Zhang; Xiao-Nong Zhou
Journal:  Parasitol Res       Date:  2020-02-14       Impact factor: 2.289

3.  Description and characterization of questing hard tick, Dermacentor steini (Acari: Ixodidae) in Malaysia based on phenotypic and genotypic traits.

Authors:  F C L Ernieenor; D A Apanaskevich; G Ernna; A Mariana
Journal:  Exp Appl Acarol       Date:  2019-12-12       Impact factor: 2.132

4.  The diversity and evolutionary relationships of ticks and tick-borne bacteria collected in China.

Authors:  JunHua Tian; Xin Hou; MiHong Ge; HongBin Xu; Bin Yu; Jing Liu; RenFu Shao; Edward C Holmes; ChaoLiang Lei; Mang Shi
Journal:  Parasit Vectors       Date:  2022-10-01       Impact factor: 4.047

5.  Morphological and molecular identification of ixodid tick species (Acari: Ixodidae) infesting cattle in Uganda.

Authors:  Stephen Balinandi; Lidia Chitimia-Dobler; Giulio Grandi; Teddy Nakayiki; William Kabasa; Johnson Bbira; Julius J Lutwama; Deon K Bakkes; Maja Malmberg; Lawrence Mugisha
Journal:  Parasitol Res       Date:  2020-06-13       Impact factor: 2.289

6.  Identification of tick-borne pathogens by metagenomic next-generation sequencing in Dermacentor nuttalli and Ixodes persulcatus in Inner Mongolia, China.

Authors:  Jun Jiao; Zhiyu Lu; Yonghui Yu; Yangxuan Ou; Mengjiao Fu; Yuee Zhao; Nier Wu; Mingliang Zhao; Yan Liu; Yi Sun; Bohai Wen; Dongsheng Zhou; Qinghong Yuan; Xiaolu Xiong
Journal:  Parasit Vectors       Date:  2021-05-27       Impact factor: 3.876

  6 in total

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