Next Article in Journal
Dietary Supplementation with Different Types of Potassium and Magnesium during Late Gestation and Lactation Modulates the Reproductive Performance, Antioxidant Capacity, and Immune Function of Sows
Next Article in Special Issue
New Definition of Neoprotereunetes Fain et Camerik, Its Distribution and Description of the New Genus in Eupodidae (Acariformes: Prostigmata: Eupodoidea)
Previous Article in Journal
Effects of the Breeding Strategy Beef-on-Dairy at Animal, Farm and Sector Levels
Previous Article in Special Issue
Species Composition of Parasitic Mites of the Subfamily Picobiinae (Acariformes: Syringophilidae) Associated with African Barbets (Piciformes: Lybiidae)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Molecular Identification and Phylogenetic Analysis of Laelapidae Mites (Acari: Mesostigmata)

by
Evelina Kaminskienė
1,
Jana Radzijevskaja
1,
Loreta Griciuvienė
1,
Michal Stanko
2,
Justina Snegiriovaitė
1,
Dalytė Mardosaitė-Busaitienė
1 and
Algimantas Paulauskas
1,*
1
Faculty of Natural Sciences, Vytautas Magnus University, Donelaičio Str. 58, LT-44248 Kaunas, Lithuania
2
Department of Vector-Borne Diseases, Institute of Parasitology, Slovak Academy of Sciences, Hlinkova 3, 04001 Košice, Slovakia
*
Author to whom correspondence should be addressed.
Animals 2023, 13(13), 2185; https://doi.org/10.3390/ani13132185
Submission received: 14 June 2023 / Revised: 30 June 2023 / Accepted: 1 July 2023 / Published: 3 July 2023
(This article belongs to the Special Issue The Ecology, Evolution, Systematics and Behaviour of Mites)

Abstract

:

Simple Summary

Mites from the family Laelapidae are frequently associated with small mammals, mainly rodents, and can be found on their body surface or in their nests. Classification of the Laelapidae is complicated because of high levels of their morphological and ecological variability. This study aimed to undertake molecular characterization and to assess the phylogenetic relationship among eight Laelapidae mite species collected from different rodent hosts in Lithuania, Norway, Slovakia, and the Czech Republic using the nuclear and mitochondrial molecular markers. Our study provides new molecular data on Laelaps agilis, Laelaps hilaris, Laelaps jettmari, Haemogamasus nidi, Eulaelaps stabularis, Hyperlaelaps microti, Myonyssus gigas, and Hirstionyssus sp. mites collected from seven different rodent hosts and three geographical regions in Europe. This study, for the first time, registered sequences of four mite species: H. microti, Hirstionyssus sp., M. gigas, and E. stabularis.

Abstract

The family Laelapidae (Dermanyssoidea) is morphologically and ecologically the most diverse group of Mesostigmata mites. Although molecular genetic data are widely used in taxonomic identification and phylogenetic analysis, most classifications in Mesostigmata mites are based solely on morphological characteristics. In the present study, eight species of mites from the Laelapidae (Dermanyssoidea) family collected from different species of small rodents in Lithuania, Norway, Slovakia, and the Czech Republic were molecularly characterized using the nuclear (28S ribosomal RNA) and mitochondrial (cytochrome oxidase subunit I gene) markers. Obtained molecular data from 113 specimens of mites were used to discriminate between species and investigate the phylogenetic relationships and genetic diversity among Laelapidae mites from six genera. This study provides new molecular data on Laelaps agilis, Laelaps hilaris, Laelaps jettmari, Haemogamasus nidi, Eulaelaps stabularis, Hyperlaelaps microti, Myonyssus gigas, and Hirstionyssus sp. mites collected from different rodent hosts and geographical regions in Europe.

1. Introduction

Mesostigmata mites represent the most taxon-rich group of Parasitiformes and comprise approximately 11,000 described species [1]. Numerous species of mesostigmatic mites can occasionally infest humans and cause dermatitis and severe allergic reactions. These mites can be potential vectors of the human pathogenic tick-borne encephalitis virus (TBEV) [2] and various rickettsial agents [3,4,5,6]. The superfamily Dermanyssoidea is the largest subdivision of mesostigmatid mites. It consists of 15 families [7], including Laelapidae, which is morphologically and ecologically the most diverse group of Mesostigmata mites [8,9]. Laelapidae currently includes 92 known genera with more than 1300 described species [10,11,12,13]. This family was divided into nine subfamilies: Hypoaspidinae Vitzthum, 1940; Melittiphidinae Evans and Till, 1966; Haemogamasinae Oudemans, 1926; Myonyssinae Bregetova, 1956; Hirstionyssinae Evans and Till, 1960; Mesolaelapinae Tenori and Radovsky, 1974; Alphalaelapinae Tipton, 1960; Laelapinae Berlese, 1892; and Acanthochelinae Radovsky and Gettinger, 1999 [14]. Laelapid mites are frequently associated with small mammals, mainly rodents, and can be found on their body surface or in their nests [15]. Classification of the Laelapidae is complicated. High levels of morphological variability in these mites are causing difficulties. Therefore, molecular evidence is needed to identify mites’ taxonomy at the species level. The phylogenetic analysis provides important information on biodiversity and taxonomy. Most modern taxonomic studies have a total evidence approach incorporating both morphology and DNA sequencing [16,17,18,19,20].
The large (28S) and small (18S) subunit ribosomal RNA (rRNA) genes are most frequently used in taxonomic studies of arthropods [21]. The 18S rRNA gene is generally considered more appropriate for resolving relationships among phyla and superphyla, with the 28S rRNA gene providing more signals at slightly lower taxonomic levels [22,23]. Nuclear rRNA genes have great advantages: they are generally easy to amplify and appear to contain more signals than other genes used for higher-order questions in animal phylogeny [24]. In a previous study, Dowling and OConnor [7] reported the first large-scale phylogenetic relationships within Dermanyssoidea and the evolution of parasitic lineages within the superfamily using the 28S region (domains 1–3) of the nuclear rDNA. With the aim of screening DNA barcodes for mites, in recent studies, Zhao et al. [25] evaluated the universality of the divergent domains with high identification efficiency in Acari. Researchers showed that domains D5, D6, and D8 of 28S rDNA are universal DNA barcodes for molecular classification and identification of mites [25].
The mitochondrial cytochrome c oxidase subunit I (COI) gene was used for the taxonomical identification of mesostigmatic mites and the determination of their intra- and interspecific variation [26,27,28,29]. Recent genetic studies investigated the population genetic structure of Laelaps agilis mites across Europe and revealed their phylogenetic relationships [28]. Yang et al. [29] used COI sequence data and morphological characters to assess the phylogenetic relationships of Laelapidae mites from China. However, the phylogenetic relationships and genetic diversity of laelapid mites from Europe are still insufficiently described.
This study aimed to undertake molecular characterization and to assess the phylogenetic relationship among eight Laelapidae mite species collected from different rodent hosts in Lithuania, Norway, Slovakia, and the Czech Republic using the nuclear (28S ribosomal RNA) and mitochondrial (cytochrome oxidase subunit I gene) molecular markers.

2. Materials and Methods

2.1. Sample Collection

Small rodents were captured with live traps at six locations in Lithuania (Trakai (54°39′24.94′′ N, 24°49′29.48′′ E), Guodžiai peatland (55°58′56.97′′ N, 24°36′50.86′′ E), Curonian Spit (55°33′06.0′′ N, 21°07′31.5′′ E), Rusnė (55°19′26.23′′ N, 21°20′24.15″ E), Beištrakiai (54°54′22.3′′ N, 24°20′28.6′′ E) and Nemunas Loops (54°35′19.04′′ N, 23°59′49.56′′ E)); three locations in Slovakia (Ptičie (48°54′07.3′′ N, 21°55′50.8′′ E), Svetlice (48°34′56.8′′ N, 20°46′37.9′′ E), Hrhov (48°34′53.9′′ N, 20°46′44.4′′ E)); one location in the Czech Republic (České Budějovice (48°59′56.1438′′ N, 14°27′20.217′′ E)); and one location in Norway (Mjävatn (58°32′19.32”N, 8°29′22.92”E)) during 2014–2018.
All trapped rodents were marked and identified by species level and sex. Ectoparasites were collected using soft tweezers, placed into 1.5 mL tubes with 70% ethanol solution, and then stored at 4 °C until processed. The collected mites were determined using morphological identification keys by Mašán, Fend’a [15], Bregetova [30], Baker [31], and Kaminskienė et al. [32].

2.2. DNA Extraction

Ammonium hydroxide solution (2.5%) was used for DNA extraction from mites. The laelapid mites were taken from the ethanol solution, dried (3–5 min) on the paper towel at room temperature, and then put in a 0.5 mL microcentrifuge tube. A quantity of 40 µL of 2.5 % NH4OH solution was added for each adult mite. In the solution the mites were crushed with a sterile plastic pestle and stored at room temperature for 30 min until incubated at 100 °C for 30 min, allowing for maximal DNA recovery. Subsequently, the tubes were centrifuged at 13,000/min for 1 min to collect condensate from the cap and sides of the tube. All opened tubes with the solution were placed back in the heating block and incubated at 100 °C for 20 min to evaporate the ammonia. After incubation, the tubes were closed and placed on the ice for 2–3 min. Then tubes were centrifuged at 13,000/min for 30 s. Extracted DNA was stored at −20 °C until further usage.

2.3. PCR Amplification and Sequencing

Domains 1–3 from the 28S nuclear ribosomal RNA gene region and the COI gene of mitochondrial DNA were used for molecular characterization and phylogenetic reconstruction within the family Laelapidae [33].
Conventional PCR was performed to amplify 856 bp fragment of mites 28S rRNA using 43F 5′- GCT GCG AGT GAA CTG GAA TCA AGC CT3′ and 929R 5′-AGG TCA CCA TCT TTC GGG TC-3′ primers [7]. Each 25 µL reaction contained a mixture of 13.7 µL ddH2O, 2.5 µL 10× PCR buffer (KCl-(NH4) SO4) (Thermo Fisher Scientific Baltics, Vilnius, Lithuania), 20 µL 25 mM MgCl2, 0.5 µL 25 mM dNTP, 1 µL of each 10 mM primer, 0.3 µL Taq DNA Polymerase (Thermo Fisher Scientific Baltics, Vilnius, Lithuania) (5 U/μL), and 4 µL DNA. The PCR reaction conditions were as follows: initial denaturation at 94° for 2 min; followed by 35 cycles of denaturation at 94° for 25 s, annealing at 53° for 20 s, and extension at 72° for 1min; with a final extension at 72° for 7 min after completion of all cycles.
To amplify a 709 bp fragment of the COI gene, conventional PCR with primers 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’) was performed [33]. Each 25 µL reaction contained a mixture of 16.5 µL ddH2O, 5 µL 5× MyTaq reaction buffer (Thermo Fisher Scientific Baltics, Vilnius, Lithuania), 0.5 µL of each 10 mM primer, 0.5 µL MyTaq DNA polymerase (Thermo Fisher Scientific Baltics, Vilnius, Lithuania) (5 U/μL), and 2 µL DNA. The PCR reaction conditions were as follows: initial denaturation at 94° for 3 min; followed by 40 cycles of denaturation at 94° for 45 s, annealing at 45° for 45 s, and extension at 72° for 1 min; with a final extension at 72° for 5 min after completion of all cycles.
PCR products were subjected to electrophoresis on 1.5% agarose gel and analyzed by UV transilluminator. The DNA fragment was excised from agarose gel and purified using a GenJET PCR purification kit (Thermo Fisher Scientific Baltics, Vilnius, Lithuania) according to the manufacturer’s protocol. All purified PCR products were sent for DNA sequencing to a sequencing service (Macrogen, Amsterdam, The Netherlands).

2.4. Sequence Analysis

The sequences obtained in this study were analyzed using the BLAST program to confirm the morphological identification of mite species and were aligned with the corresponding sequences of other laelapid mites available in GenBank using ClustalW [34] multiple alignments implemented in MegaX [35]. The partial 28S rRNA and COI gene sequences were aligned in two independent datasets. The intraspecific and interspecific pairwise genetic distances, variable sites, conserved sites, and parsimony-informative sites were computed by Mega X. The non-synonymous mutation rate (Ka) and synonymous mutation rate (Ks), haplotype diversity (Hd), nucleotide diversity (Π), and polymorphic sites (S) were calculated using DnaSP v5.10.01 [36]. The representative sequences of 28S rRNA and COI gene were deposited to GenBank.

2.5. Phylogenetic Analysis

Phylogenetic trees were constructed using maximum likelihood (ML) and Bayesian inference (BI) methods. The best-fitting nucleotide substitution model (GTR + I + G) was determined by the Bayesian Information Criterion (BIC) yielded using jModelTest v2.1.10 [37]. The ML trees were generated using the Tamura–Nei parameter model in MEGA X, with each node supported by 1000 bootstraps. Bayesian inference (BI) analyses were run with MrBayes v.3.2.7 [38]. The Markov chain was run with 40,000,000 generations, and trees were sampled every 1000th generation. The first 25% of samples were discarded as burn-in, and the remaining saved samples were used to estimate the posterior probabilities (PP) of each bipartition. The phylogenetic tree was visualized using FigTree v1.4.4 [39].
To estimate the phylogenetic relationships among the COI gene haplotypes of L. agilis derived from different rodent hosts and geographical regions, median-joining (MJ) networks were constructed using Network 10.2.0.0 [40].

3. Results

3.1. 28S rRNA Region

A total of 53 sequences of partial 28S rRNA gene were obtained from eight species of Laelapidae mites (Laelaps agilis, Laelaps jettmari, Laelaps hilaris, Haemogamasus nidi, Eulaelaps stabularis, Hyperlaelaps microti, Myonyssus gigas, and Hirstionyssus sp.) collected from seven small rodent species (Apodemus flavicollis, Apodemus agrarius, Apodemus sylvaticus, Clethrionomys glareolus, Microtus arvalis, Micromys minutus, and Microtus oeconomus) in Lithuania, Slovakia, the Czech Republic, and Norway (Table 1). The lengths of the analyzed 28S rRNA sequences varied between 527 and 821 bp; the AT content ranged from 55.5 to 57.2% (Table 1). Sequence comparison showed 174 variable sites among 28S rRNA gene sequences of all examined Laelapidae mites and 51 variable sites among mites from the Laelaps genus (Table 2).
Partial 28S rRNA sequences obtained from L. agilis (MZ043837–MZ043844), L. hilaris (MZ043845, MZ043846), L. jettmari (MZ043833, MZ043834, ON763742), M. gigas (MZ043831, MZ043832), and Hirstionyssus sp. (ON775520, ON775521) showed no intraspecific variability (Table 1). However, two genotypes of H. microti (MZ043835; MZ043836), E. stabularis (MZ043828, MZ043829, MZ043830), and Hg. nidi (MZ061928, MZ061929, MZ061930, MZ061931) were identified. H. microti sequences differed at one nucleotide position showing ambiguous nucleotide Y (C/T—transition). Two genotypes of E. stabularis detected in Lithuania (MZ043828; n = 2) and Norway (MZ043829; MZ043830) were specific to their respective locations (Table 1) and differed at two nucleotide positions. Two genotypes representing six 28S rRNA sequences derived from Hg. nidi differed at three nucleotide positions (three sequences (MZ061928-MZ061930) had one ambiguous nucleotide W (A/T transversion).
The overall mean genetic distance between laelapid mite sequences obtained in this study was 0.0820. The intra- and interspecific genetic distances of Laelapidae species are shown in Table 3. The highest interspecific distances were detected between H. microti and the other Laelapidae mite species.
The phylogenetic analysis based on 28S rRNA gene included sequences of other dermanysoid mite species available in GenBank: L. jettmari (pavlovskyi) (GU440635), L. hilaris (GU440637), Laelaps stupkai (GU440596), Laelaps clethrionomydis (GU440636), Laelaps kochi (GU440626), Laelaps muris (GU440638), Ondatralaelaps multispinosus (FJ911778), Laelaps vansomereni (GU440619), Laelaps zumpti (GU440623), Laelaps spinigera (GU440613), Laelaps mazzai (GU440590), Haemogamasus reidi (GU440583), Brevisterna morlani (FJ911773), Haemogamasus sp. (FJ911772), and Dermanyssus gallinae (FJ911771).
The phylogenetic tree of 28S rRNA gene sequences constructed using the ML method is divided into two main clusters: one cluster groups sequences of twelve Laelaps genus species and H. microti, while the other cluster consists of six species of Hirstionyssus, Haemogamasus, Myonyssus, Brevisterna, and Eulaelaps genera. The members of each species form individual subclusters on the phylogenetic tree (Figure 1).
The 28S rRNA gene sequences of L. jettmari and L. hilaris obtained in the present study were 100% identical to corresponding sequences derived from GenBank: GU440635 and GU440637, respectively (Figure 1). Sequences of Hg. nidi (MZ061928, MZ061929, MZ061931, MZ061930) collected in Lithuania shared 98.95–99.08% similarity to Hg. reidi (synonym Hg. nidi) sequences from GenBank: GU440583.

3.2. COI Gene

The partial sequences of the COI gene were successfully obtained from six species of Laelapidae mites (L. agilis, L. jettmari, L. hilaris, Hg. nidi, H. microti, and M. gigas) collected from six species of small rodents (A. flavicollis, A. agrarius, A. sylvaticus, C. glareolus, M. arvalis and M. oeconomus). A total of 60 good-quality COI sequences were analyzed (among them 47 sequences of L. agilis, four sequences of L. jettmari, three sequences of L. hilaris, two sequences of Hg. nidi, two sequences of M. gigas, and two sequences of H. microti). COI sequences of Laelapidae mites ranged from 582 to 699 bp in length and from 64.9 to 74.6% in AT content (Table 4); there were 253 variable sites, 330 conserved sites, and 245 parsimony-informative sites. A total of 23 nucleotide variable sites were detected among L. agilis species (Table 5). The mean value of Ka/Ks of COI gene sequences obtained in this study was 2.31.
Nine COI haplotypes (h = 9) between 23 L. agilis sequences were detected with estimated haplotype diversity of Hd = 0.870, nucleotide diversity Π = 0.00720, and a total number of polymorphic sites S = 23. In total, 559 conserved sites, one singleton site, and 19 parsimony-informative sites were detected. Haplotype H_1 of L. agilis was the most frequent. It was found in three out of four different locations (Lithuania, Slovakia, and the Czech Republic) (Table 4, Figure 2). Haplotypes H_2 and H_3 (the Czech Republic), H_4-H_8 (Lithuania), and H_9 (Norway) of L. agilis were specific for their respective sampling locations.
In this study, six haplotypes of L. agilis were detected in Lithuania. From these sequences, four haplotypes of L. agilis detected in Lithuania (H_4, H_5, H_7, and H_8) were unique and differed from the most similar sequences in GenBank (Figure 2A). The distribution of L. agilis haplotypes in different areas of Lithuania showed that the highest haplotype diversity was detected in the Lithuanian coastal area—the Curonian Spit where five of six haplotypes (H_1, H_5-H_8; n = 21) were found. In the continental part of the country (northern and south-eastern parts), three haplotypes were detected (H_1, H_4, H_6; n = 13) (Figure 3). Distribution of different L. agilis haplotypes did not reveal specificity to host species. Five haplotypes were detected in A. flavicollis, four haplotypes in C. glareolus, and A. agrarius, M. oeconomus, and M. minutus each harbored one haplotype H_4, H_6, and H_7, respectively. This study detected three COI haplotypes of L. jettmari (n = 4) and two COI haplotypes of H. microti (n = 2). In contrast, only one haplotype was found among L. hilaris, Hg. Nidi, and M. gigas sequences (Table 4).
The overall mean genetic distance between laelapid mites’ COI gene sequences obtained in this study was 0.1215. The inter- and intraspecific genetic distances based on the COI gene are shown in Table 3. The highest interspecific distances were detected between M. gigas and the other Laelapidae mite species. The intraspecific genetic distance among L. agilis sequences was 0.0074.
The phylogenetic analysis based on the COI gene included sequences of other dermanysoid mite species available in GenBank: Laelaps muricola (KU166735; KU166676; KU166784; KU166789), Laelaps giganteus (KU166660; KU166413; KU166425), L. kochi (MF914881; MG413303), Haemogamasus ambulans (KM831963), Gaeolaelaps debilis (MW367907), E. stabularis (OP960202), and Dermanyssus hirundinis (MN355089). The phylogenetic tree of COI gene sequences constructed using the ML method showed a clear separation of different species of Laelapidae mites into different clusters. L. agilis sequences were heterogenic and, together with L. jettmari and L. hilaris, formed a separate cluster on the phylogenetic tree (Figure 4).
Another phylogenetic tree of Laelapidae mites was constructed using the BI method (Figure 3). ML and BI phylogenetic trees differed slightly in topology and branching structures (Figure 4 and Figure 5). The Bayesian tree (Figure 5) exhibited higher posterior probabilities (PPs) values (52–100%) than the bootstrap values (38–100%) of the ML (Figure 4).

4. Discussion

In the present study, eight species of Laelapidae mites collected from different rodent hosts and geographical regions in Europe were molecularly characterized based on both nuclear 28S rRNA and mitochondrial COI gene regions. Our findings confirm that these molecular markers could be successfully used for molecular identification of Laelapidae mite species and inference of their phylogenetic relationships [7,27,28,29]. On the other hand, mitochondrial DNA evolves much faster and is more evolutionarily variable than the ribosomal DNA of the nuclear genome [41]. Thus, the COI gene sequences are more appropriate for analyzing intraspecific phylogenetic relationships [26,42]. In this study, our results based on the COI gene indicated a high intraspecific variation (9 haplotypes out of 23 obtained sequences) in L. agilis species. Intraspecific variations on the COI gene were also detected in L. jettmari (three haplotypes identified among four obtained sequences) and H. microti (two haplotypes among two obtained sequences).
Our findings provide new data on the intra- and interspecific phylogenetic relationships of Laelapidae mites belonging to six genera. This study, for the first time, registered sequences of four mite species: H. microti, Hirstionyssus sp., M. gigas, and E. stabularis.
Phylogenetic relationships based on 28S rRNA exhibited polyphyly of the different species from the family Laelapidae. The previous study also determined a polytomy structure in the phylogenetic relationships [7]. In contrast, Li et al. [43] and Yang et al. [44] showed that based on mitochondrial barcoding region, the family Laelapidae is a monophyletic group.
The results of the phylogenetic analysis based on 28S rRNA revealed the separation of Laelapidae mites into two different groups. The first group consists of sequences belonging to obligate parasitic mites from two genera, Laelaps and Hyperlaelaps. The second group contains two clusters—one cluster consists of sequences belonging to facultative parasitic mites Eulaelaps, Haemogamasus, and Myonyssus, whereas sequences of obligate parasitic Hirstionyssus sp. formed a separate cluster (Figure 1).
It should be noticed that phylogenetic analysis based on both genes (28S rRNA and COI) indicated the clustering of H. microti with the species of the genus Laelaps and did not show separation into distinct clades. The differences between the molecular and morphological taxonomy of this species were also observed in recent studies [29,44].
In line with a previous study [28], our results of the phylogenetic analysis based on mt DNA also corroborated three lineages (Lineages A, B, and C) within L. agilis (Figure 2). The results did not indicate clear specificity according to geographical locations. Lineages A and C comprised specimens from diverse geographical regions of Europe (North, Central-Eastern, and West) (Figure 2A), which was also revealed in a recent study [28]. However, our results supplemented Lineage A with one specimen from Norway and Lineage C with sequences from Lithuania (Figure 2A). Moreover, our findings showed no clear host species specificity and confirmed the results previously obtained by Nazarizadeh et al. [28]. However, the number of host species in these lineages (A and C) was supplemented by three additional species (A. agrarius, M. minutus, and M. oeconomus) in this study. Only one L. agilis lineage (B) showed clear specificity according to host species (A. flavicollis) (Figure 2B), and it is consistent with the results of the Nazarizadeh et al. study [28].
Considering several species of rodents as important hosts of the parasitic mites analyzed in this study, it should be mentioned that populations of rodents of the genera Apodemus and Clethrionomys in Europe are genetically heterogeneous. During the glaciation in the Quaternary, they survived in various refugia in southern Europe [45,46] and had complex recolonization routes in Europe. A specific species in this regard is Apodemus agrarius, which only relatively recently colonized Europe from Asia [47].
Based on published data, at least 21 parasitic mite species belonging to the Laelapidae family have been morphologically identified in Lithuania [32,48,49,50,51]. This study provides the first molecular characterization of eight species of laelapid mites collected from different rodent hosts in Lithuania. Therefore, the more comprehensive phylogenetic analysis of Laelapidae mites in Lithuania must be further investigated.

5. Conclusions

Our study provides new molecular data on Laelaps agilis, Laelaps hilaris, Laelaps jettmari, Haemogamasus nidi, Eulaelaps stabularis, Hyperlaelaps microti, Myonyssus gigas, and Hirstionyssus sp. mites collected from seven different rodent hosts and three geographical regions in Europe. This study is the first molecular characterization of eight Laelapidae mite species in Baltic countries. Specifically, 28S rRNA and COI sequences of four mite species were, for the first time, registered in the NCBI database (2021–2022).

Author Contributions

Conceptualization, J.R., E.K. and A.P.; methodology, E.K. and J.R.; software, L.G.; formal analysis, E.K., J.S. and D.M.-B.; investigation, E.K., L.G., J.R., M.S. and A.P.; resources, A.P. and M.S.; writing—original draft: E.K., L.G. and J.S.; writing—review and editing: J.R., A.P., M.S. and D.M.-B.; supervision: J.R. and A.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Rodent sampling was conducted with permission from the Environmental Protection Agency (EPA) and approved by the Ministry of Environment of the Republic of Lithuania, licenses No. 15 (31 March 2014), No. 22 (10 April 2015), No. 12 (30 March 2016, No. 13 (22 March 2017) and No. 1 (2 February 2018) in accordance with Lithuanian (the Republic of Lithuania Law on Welfare and Protection of Animals No. XI-2271) and European legislation (Directive 2010/63/EU) on the protection of animals.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available within the article.

Acknowledgments

The authors are grateful to Linas Balčiauskas and Vaclovas Gedminas for the collection of small rodents in Lithuania and Olav Rosef for providing mite samples from rodents collected in Norway.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zhang, Z.-Q.; Fan, Q.-H.; Pesic, V.; Smit, H.; Bochkov, A.V.; Khaustov, A.A.; Baker, A.; Wohltmann, A.; Wen, T.H.; Amrine, J.W.; et al. Animal Biodiversity: An Outline of Higher-Level Classification and Survey of Taxonomic Richness; Zhang, Z.-Q., Ed.; Magnolia Press: Auckland, New Zealand, 2011; pp. 1–237. [Google Scholar]
  2. Kocianova, E.; Kozuch, O.; Bakoss, P.; Rehacek, J.; Kovacova, E. The prevalence of small terrestrial mammals infected with tick-borne encephalitis virus and leptospirae in the foothills of the southern Bavarian forest, Germany. Adv. Parasitol. 1993, 34, 283–290. [Google Scholar]
  3. Reeves, W.K.; Dowling, A.P.G.; Dasch, A.G.A. Rickettsial agents from parasitic Dermanyssoidea (Acari: Mesostigmata). Exp. Appl. Acarol. 2006, 38, 181–188. [Google Scholar] [CrossRef]
  4. Merhej, V.; Angelakis, E.; Socolovschi, C.; Raoult, D. Genotyping, evolution and epidemiological findings of Rickettsia species. Infect. Genet. Evol. 2014, 25, 122–137. [Google Scholar] [CrossRef]
  5. Miťková, K.; Berthová, L.; Kalúz, S.; Kazimírová, M.; Burdová, L.; Kocianová, E. First detections of Rickettsia helvetica and R. monacensis in ectoparasitic mites (Laelapidae and Trombiculidae) infesting rodents in south-western Slovakia. Parasitol. Res. 2015, 114, 2465–2472. [Google Scholar] [CrossRef]
  6. Radzijevskaja, J.; Kaminskienė, E.; Lipatova, I.; Mardosaitė-Busaitienė, D.; Balčiauskas, L.; Stanko, M.; Paulauskas, A. Prevalence and diversity of Rickettsia species in ectoparasites collected from small rodents in Lithuania. Parasites Vectors 2018, 11, 375. [Google Scholar] [CrossRef] [PubMed]
  7. Dowling, A.P.G.; OConnor, B.M. Phylogeny of Dermanyssoidea (Acari: Parasitiformes) suggests multiple origins of parasitism. Acarologia 2010, 50, 113–129. [Google Scholar] [CrossRef] [Green Version]
  8. Faraji, F.; Halliday, B. Five new species of mites (Acari: Laelapidae) associated with large Australian cockroaches (Blattodea: Blaberidae). Int. J. Acarol. 2009, 35, 245–264. [Google Scholar] [CrossRef]
  9. Kavianpour, M.; Nemati, A.; Gwiazdowicz, D.J.; Kocheili, F. A new species of the genus Gaeolaelaps (Acari, Mesostigmata, Laelapidae) from Iran. Zookeys 2013, 277, 1–11. [Google Scholar] [CrossRef] [Green Version]
  10. Beaulieu, F.; Dowling, A.P.G.; Klompen, H.; de Moraes, G.J.; Walter, D.E. Superorder Parasitiformes Reuter, 1909. In: Zhang, Z.-Q. (Ed.) Animal biodiversity. Zootaxa 2011, 3148, 123–128. [Google Scholar] [CrossRef]
  11. Kazemi, S.; Rajaei, A.; Beaulieu, F. Two new species of Gaeolaelaps (Acari: Mesostigmata: Laelapidae) from Iran, with a revised generic concept and notes on significant morphological characters in the genus. Zootaxa 2014, 3861, 501–530. [Google Scholar] [CrossRef]
  12. Nemati, A.; Gwiazdowicz, D.J. A new genus and species of Laelapidae from Iran with notes on Gymnolaelaps Berlese and Laelaspisella Marais & Loots (Acari, Mesostigmata). Zookeys 2016, 549, 23–49. [Google Scholar] [CrossRef] [Green Version]
  13. Kazemi, S.; Beaulieu, F. A new genus and species of Laelapidae (Acari: Mesostigmata) from Iran. Zootaxa 2016, 4200, 487–500. [Google Scholar] [CrossRef] [Green Version]
  14. Kazemi, S.; Rajaei, A.; Paktinat Saeej, S. The Laelapidae mites (Acari: Mesostigmata) from Mazandaran Province, North Iran. In Proceedings of the 2nd International Persian Congress of Acarology, The Graduate University of Advanced Technology (GUAT), Kerman, Iran, 29–31 August 2013. [Google Scholar]
  15. Mašán, P.; Fenda, P. A Review of the Laelapid Mites Associated with Terrestrial Mammals in Slovakia, with a Key to the European Species; Institute of Zoology, Slovak Academy of Sciences: Bratislava, Slovakia, 2010. [Google Scholar]
  16. Bickford, D.; Lohman, D.J.; Sodhi, N.S.; Ng, P.K.L.; Meier, R.; Winker, K.; Ingram, K.K.; Das, I. Cryptic species as a window on diversity and conservation. Trends Ecol. Evol. 2007, 22, 148–155. [Google Scholar] [CrossRef]
  17. Morelli, M.; Spicer, G.S. Cospeciation between the nasal mite Ptilonyssus sairae (Acari: Rhinonyssidae) and its bird hosts. Syst. Appl. Acarol. 2007, 12, 179–188. [Google Scholar] [CrossRef] [Green Version]
  18. Skoracka, A.; Dabert, M. The cereal rust mite Abacarus hystrix (Acari: Eriophyoidea) is a complex of species: Evidence from mitochondrial and nuclear DNA sequences. Bull. Entomol. Res. 2010, 100, 263–272. [Google Scholar] [CrossRef] [PubMed]
  19. Apanaskevich, D.A.; Horak, I.G.; Matthee, C.A.; Matthee, S. A new species of Ixodes (Acari: Ixodidae) from South African mammals. J. Parasitol. 2011, 97, 389–398. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Knee, W.; Beaulieu, F.; Skevington, J.H.; Kelso, S.; Forbes, M.R. Cryptic species of mites (Uropodoidea: Uroobovella spp.) associated with burying beetles (Silphidae: Nicrophorus): The collapse of a host generalist revealed by molecular and morphological analyses. Mol. Phylogenet. Evol. 2012, 65, 276–286. [Google Scholar] [CrossRef] [PubMed]
  21. Cruickshank, R.H. Molecular markers for the phylogenetics of mites and ticks. Syst. Appl. Acarol. 2002, 7, 3–14. [Google Scholar] [CrossRef] [Green Version]
  22. Mallatt, J.M.; Garey, J.R.; Shultz, J.W. Ecdysozoan phylogeny and Bayesian inference: Wrst use of nearly complete 28S and 18S rRNA gene sequences to classify the arthropods and their kin. Mol. Phylogenet. Evol. 2004, 31, 178–191. [Google Scholar] [CrossRef]
  23. Mallatt, J.; Giribet, G. Further use of nearly complete 28S and 18S rRNA genes to classify Ecdysozoa: 37 more arthropods and a kinorhynch. Mol. Phylogenet. Evol. 2006, 40, 772–794. [Google Scholar] [CrossRef]
  24. Giribet, G. Current advances in the phylogenetic reconstruction of metazoan evolution. A new paradigm for the Cambrian explosion? Mol. Phylogenet. Evol. 2002, 24, 345–357. [Google Scholar] [CrossRef]
  25. Zhao, Y.; Zhang, W.Y.; Wang, R.L.; Niu, D.L. Divergent domains of 28S ribosomal RNA gene: DNA barcodes for molecular classification and identification of mites. Parasites Vectors 2020, 13, 251. [Google Scholar] [CrossRef]
  26. Yang, B.; Cai, J.; Cheng, X. Identification of astigmatid mites using ITS2 and COI regions. Parasitol. Res. 2011, 108, 497–503. [Google Scholar] [CrossRef]
  27. Savchenko, E.; Lareschi, M. A new species of Laelaps Koch, 1836 (Mesostigmata: Laelapidae) parasitic of the sigmodontine rodent Oligoryzomys flavescens Waterhouse, 1837 (Rodentia: Cricetidae): Molecular and morphological characterization. Acta Trop. 2019, 199, 105146. [Google Scholar] [CrossRef]
  28. Nazarizadeh, M.; Martinů, J.; Nováková, M.; Stanko, M.; Štefka, J. Phylogeography of the parasitic mite Laelaps agilis in Western Palearctic shows lineages lacking host specificity but possessing different demographic histories. BMC Zool. 2022, 7, 15. [Google Scholar] [CrossRef] [PubMed]
  29. Yang, H.; Yang, Z.; Dong, W. Morphological Identification and Phylogenetic Analysis of Laelapin Mite Species (Acari: Mesostigmata: Laelapidae) from China. Korean J. Parasitol. 2022, 60, 273–279. [Google Scholar] [CrossRef]
  30. Bregetova, N.G. Gamasid mites (Gamasoidea). The short keys. In Брегетoва Н.Г. Гамазoвые клещи (Gamasoidea). Краткий Определитель; Izdatelstvo Akademii Nauk SSSR: Moskow, Russia, 1956. (In Russian) [Google Scholar]
  31. Baker, E.W.; Evans, T.M.; Gould, D.J.; Hull, W.B.; Keegan, H.L. A Manual of Parasitic Mites of Medical or Economic Importance; National Pest Control Association: New York, NY, USA, 1956; pp. 1–170. [Google Scholar]
  32. Folmer, O.; Black, M.; Hoeh, W.; Lutz, R.; Vrijenhoek, R. DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Mol. Marine Biol. Biotechnol. 1994, 3, 294–297. [Google Scholar]
  33. Kaminskienė, E.; Radzijevskaja, J.; Balčiauskas, L.; Gedminas, V.; Paulauskas, A. Laelapidae mites (Acari: Mesostigmata) infesting small rodents in the Curonian Spit, Lithuania. Biologija 2017, 63, 169–176. [Google Scholar] [CrossRef] [Green Version]
  34. Thompson, J.D.; Higgins, D.G.; Gibson, T.J. CLUSTAL W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994, 22, 4673–4680. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Kumar, S.; Stecher, G.; Li, M.; Knyaz, C.; Tamura, K. MEGA X: Molecular Evolutionary Genetics Analysis across computing platforms. Mol. Biol. Evol. 2018, 35, 1547–1549. [Google Scholar] [CrossRef] [PubMed]
  36. Librado, P.; Rozas, J. DnaSP v5: A software for comprehensive analysis of DNA polymorphism data. Bioinformatics 2009, 25, 1451–1452. [Google Scholar] [CrossRef] [Green Version]
  37. Darriba, D.; Taboada, G.L.; Doallo, R.; Posada, D. jModelTest 2: More models, new heuristics and parallel computing. Nat. Methods 2012, 9, 772. [Google Scholar] [CrossRef] [Green Version]
  38. Ronquist, F.; Teslenko, M.; van der Mark, P.; Ayres, D.; Darling, A.; Hohna, S.; Larget, B.; Liu, L.; Suchard, M.A.; Huelsenbeck, J.P. MrBayes 3.2: Efficient Bayesian phylogenetic inference and model choice across a large model space. Syst. Biol. 2012, 61, 539–542. [Google Scholar] [CrossRef] [Green Version]
  39. Rambaut, A. FigTree v.1.4.4. 2018. Available online: http://tree.bio.ed.ac.uk/software/figtree (accessed on 25 October 2022).
  40. Bandelt, H.J.; Forster, P.; Rohl, A. Median-joining networks for inferring intraspecific phylogenies. Mol. Biol. Evol. 1999, 16, 37–48. [Google Scholar] [CrossRef]
  41. Hwang, U.W.; Kim, W. General properties and phylogenetic utilities of nuclear ribosomal DNA and mitochondrial DNA commonly used in molecular systematics. Korean J. Parasitol. 1999, 37, 215–228. [Google Scholar] [CrossRef] [Green Version]
  42. Liu, Y.; Nie, Y.; Chen, J.; Lu, T.; Niu, L.; Jia, J.; Ye, Z.; Fu, Y. Genetic diversity of three major spider mites damaging rubber trees. Syst. Appl. Acarol. 2022, 27, 2025–2037. [Google Scholar] [CrossRef]
  43. Li, W.-N.; Shao, R.; Zhang, Q.; Deng, W.; Xue, X.-F. Mitochondrial genome reorganization characterizes various lineages of mesostigmatid mites (Acari: Parasitiformes). Zool. Scr. 2019, 48, 679–689. [Google Scholar] [CrossRef]
  44. Yang, H.; Chen, T.; Dong, W. Divergence time of mites of the family Laelapidae based on mitochondrial barcoding region. PLoS ONE 2023, 18, e0279598. [Google Scholar] [CrossRef]
  45. Michaux, J.R.; Libois, R.; Filippucc, M.-G. So close and so different: Comparative phylogeography of two small mammal species, the Yellow-necked fieldmouse (Apodemus flavicollis) and the Woodmouse (Apodemus sylvaticus) in the Western Palearctic region. Heredity 2005, 94, 52–63. [Google Scholar] [CrossRef] [Green Version]
  46. Kotlík, P.; Marková, S.; Horníková, M.; Escalante, M.A.; Searle, J.B. The bank vole (Clethrionomys glareolus) as a model system for adaptive phylogeography in the European theater. Front. Ecol. Evol. 2022, 10, 866605. [Google Scholar] [CrossRef]
  47. Kozyra, K.; Zając, T.M.; Ansorge, H.; Wierzbicki, H.; Moska, M.; Stanko, M.; Stopka, P. Late Pleistocene expansion of small murid rodents across the Palearctic in relation to the past environmental changes. Genes 2021, 12, 642. [Google Scholar] [CrossRef]
  48. Jezerskienė, E. Ectoparasites of the bank-vole Clethrionomydis glareolus Schreb. under Lithuania conditions. Acta Zool. Litu. 1974, 12, 193–197. (In Russian) [Google Scholar]
  49. Podenaite, V.I. Ticks and fleas fauna of small mammals in Lithuania SSR. Natural foci of infections and invasions. In Proceedings of the Scientific Conference, Vilnius, Lithuania, 6–7 September 1979. (In Russian). [Google Scholar]
  50. Kaminskienė, E.; Radzijevskaja, J.; Stanko, M.; Balčiauskas, L.; Paulauskas, A. Associations between different Laelapidae (Mesostigmata: Dermanyssoidea) mites and small rodents from Lithuania. Exp. Appl. Acarol. 2020, 81, 149–162. [Google Scholar] [CrossRef] [PubMed]
  51. Kitrytė, N.; Križanauskienė, A.; Baltrūnaitė, L. Ecological indices and factors influencing communities of ectoparasitic laelapid mites (Acari, Mesostigmata, Laelapidae) of small mammals in Lithuania. J. Vector Ecol. 2022, 47, 99–108. [Google Scholar] [CrossRef]
Figure 1. Phylogenetic tree of 28S rRNA gene sequences of Laelapidae mites generated using the maximum likelihood method and Tamura–Nei model and bootstrap analysis of 1000 replicates. Samples sequenced in the present study are marked (●). Abbreviations: A. agr—Apodemus agrarius, A. fla—Apodemus flavicollis, A. syl—Apodemus sylvaticus, M. arv—Microtus arvalis, C. gla—Clethrionomys glareolus, M. min—Micromys minutus, LT—Lithuania, SK—Slovakia, CZ—Czech Republic, NO—Norway.
Figure 1. Phylogenetic tree of 28S rRNA gene sequences of Laelapidae mites generated using the maximum likelihood method and Tamura–Nei model and bootstrap analysis of 1000 replicates. Samples sequenced in the present study are marked (●). Abbreviations: A. agr—Apodemus agrarius, A. fla—Apodemus flavicollis, A. syl—Apodemus sylvaticus, M. arv—Microtus arvalis, C. gla—Clethrionomys glareolus, M. min—Micromys minutus, LT—Lithuania, SK—Slovakia, CZ—Czech Republic, NO—Norway.
Animals 13 02185 g001
Figure 2. A median-joining network of haplotypes based on COI sequences of L. agilis from different European regions. The circles represent different haplotypes with size proportional to relative frequencies. (A): different colors represent geographic distribution; (B): different colors represent host species. The network branches linking the cycles indicate one mutation step; two or more mutations are represented by slashes crossed with the network branches. The red points indicate undetected intermediate haplotypes.
Figure 2. A median-joining network of haplotypes based on COI sequences of L. agilis from different European regions. The circles represent different haplotypes with size proportional to relative frequencies. (A): different colors represent geographic distribution; (B): different colors represent host species. The network branches linking the cycles indicate one mutation step; two or more mutations are represented by slashes crossed with the network branches. The red points indicate undetected intermediate haplotypes.
Animals 13 02185 g002
Figure 3. The distribution of COI haplotypes of L. agilis collected from different host species and sampling sites in Lithuania. Different host species and haplotypes are shown by various shapes and colors. The number of samples varied from 1 to 7.
Figure 3. The distribution of COI haplotypes of L. agilis collected from different host species and sampling sites in Lithuania. Different host species and haplotypes are shown by various shapes and colors. The number of samples varied from 1 to 7.
Animals 13 02185 g003
Figure 4. Phylogenetic tree of COI gene sequences of Laelapidae mites generated using the maximum likelihood method and General Time Reversible model (Gamma Distributed with Invariant Sites (G + I)) model and bootstrap analysis of 1000 replicates. Samples sequenced in the present study are marked (●). Abbreviations: A. agr– Apodemus agrarius, A. fla—Apodemus flavicollis, A. syl—Apodemus sylvaticus, M. arv—Microtus arvalis, M. oec—Microtus oeconomus, C. gla—Clethrionomys glareolus, M. min—Micromys minutus, LT—Lithuania, SK—Slovakia, CZ—Czech Republic, NO—Norway.
Figure 4. Phylogenetic tree of COI gene sequences of Laelapidae mites generated using the maximum likelihood method and General Time Reversible model (Gamma Distributed with Invariant Sites (G + I)) model and bootstrap analysis of 1000 replicates. Samples sequenced in the present study are marked (●). Abbreviations: A. agr– Apodemus agrarius, A. fla—Apodemus flavicollis, A. syl—Apodemus sylvaticus, M. arv—Microtus arvalis, M. oec—Microtus oeconomus, C. gla—Clethrionomys glareolus, M. min—Micromys minutus, LT—Lithuania, SK—Slovakia, CZ—Czech Republic, NO—Norway.
Animals 13 02185 g004
Figure 5. A Bayesian phylogenetic tree of the Laelapidae mites, based on the COI gene sequences. Numbers above the branches show the Bayesian posterior probabilities. Samples sequenced in the present study are marked (●). Abbreviations: A. agr—Apodemus agrarius, A. fla—Apodemus flavicollis, A. syl—Apodemus sylvaticus, M. arv—Microtus arvalis, M. oec—Microtus oeconomus, C. gla—Clethrionomys glareolus, M. min—Micromys minutus, LT—Lithuania, SK—Slovakia, CZ—the Czech Republic, NO—Norway. The geographical structure of L. agilis was supported by the median-joining network, which showed at least three major Lineages A, B, and C (Figure 2A,B). In the median-joining (MJ) network were included the COI gene haplotypes of L. agilis (derived from different rodent hosts and geographical regions) detected in our study and available in GenBank. Haplotypes assigned to Lineage A were found in Norway, Finland, the United Kingdom, France, and the Czech Republic. Most of the haplotypes were not shared between different geographic areas, except for one haplotype identified in Germany and the Czech Republic (Figure 2A). This lineage (A) showed haplotype sharing between three host species: A. flavicollis, A. sylvaticus, C. glareolus (Figure 2B). A single haplotype was assigned to Lineage B, shared between the L. agilis from Italy, Greece, and the Czech Republic, and three unique to the individuals from Italy, Bulgaria, and Serbia. This lineage (B) only included mites collected from A. flavicollis. All sequences of L. agilis from Lithuania belonged to Lineage C. They clustered together with samples from Slovakia, Bulgaria, Austria, the Czech Republic, Hungary, and Finland. Additionally, the network showed that four haplotypes have so far been found only in Lithuania (Figure 2A). This lineage (C) was composed of L. agilis found in different host species (A. flavicollis, A. sylvaticus, A. agrarius, C. glareolus, M. minutus, and M. oeconomus) (Figure 2B and Figure 3).
Figure 5. A Bayesian phylogenetic tree of the Laelapidae mites, based on the COI gene sequences. Numbers above the branches show the Bayesian posterior probabilities. Samples sequenced in the present study are marked (●). Abbreviations: A. agr—Apodemus agrarius, A. fla—Apodemus flavicollis, A. syl—Apodemus sylvaticus, M. arv—Microtus arvalis, M. oec—Microtus oeconomus, C. gla—Clethrionomys glareolus, M. min—Micromys minutus, LT—Lithuania, SK—Slovakia, CZ—the Czech Republic, NO—Norway. The geographical structure of L. agilis was supported by the median-joining network, which showed at least three major Lineages A, B, and C (Figure 2A,B). In the median-joining (MJ) network were included the COI gene haplotypes of L. agilis (derived from different rodent hosts and geographical regions) detected in our study and available in GenBank. Haplotypes assigned to Lineage A were found in Norway, Finland, the United Kingdom, France, and the Czech Republic. Most of the haplotypes were not shared between different geographic areas, except for one haplotype identified in Germany and the Czech Republic (Figure 2A). This lineage (A) showed haplotype sharing between three host species: A. flavicollis, A. sylvaticus, C. glareolus (Figure 2B). A single haplotype was assigned to Lineage B, shared between the L. agilis from Italy, Greece, and the Czech Republic, and three unique to the individuals from Italy, Bulgaria, and Serbia. This lineage (B) only included mites collected from A. flavicollis. All sequences of L. agilis from Lithuania belonged to Lineage C. They clustered together with samples from Slovakia, Bulgaria, Austria, the Czech Republic, Hungary, and Finland. Additionally, the network showed that four haplotypes have so far been found only in Lithuania (Figure 2A). This lineage (C) was composed of L. agilis found in different host species (A. flavicollis, A. sylvaticus, A. agrarius, C. glareolus, M. minutus, and M. oeconomus) (Figure 2B and Figure 3).
Animals 13 02185 g005
Table 1. Hosts and GenBank nucleotide accession numbers of the 28S rRNA gene region sequences of Laelapidae mites.
Table 1. Hosts and GenBank nucleotide accession numbers of the 28S rRNA gene region sequences of Laelapidae mites.
Taxonomic Status of SpeciesHost SpeciesCountryLength (bp)GenBank Accession No.AT%No of Representative Samples
Genus Laelaps
L. agilisA. agrLithuania527MZ04383856.43
A. flaLithuania760MZ04383756.83
C. glaLithuania527MZ04383956.41
M. minLithuania818MZ04384056.61
A. agrSlovakia818MZ04384256.71
A. flaSlovakia805MZ04384156.88
A. sylCzech Republic818MZ04384356.78
C. glaCzech Republic805MZ04384456.81
L. jettmariA. flaLithuania802MZ04383457.21
A. flaSlovakia803MZ04383357.24
A. agrLithuania821ON76374257.11
L. hilarisA. agrLithuania814MZ04384556.61
M. arvLithuania805MZ04384656.81
Genus Eulaelaps
E. stabularis (1 gen.)C. glaLithuania820MZ04382857.02
E. stabularis (2 gen.)A. flaNorway743MZ04383055.91
C. glaNorway770MZ04382956.11
Genus Haemogamasus
Hg. nidi (1 gen.)A. agrLithuania768MZ06192855.91
A. flaLithuania768MZ06192955.91
C. glaLithuania768MZ061930 55.91
Hg. nidi (2 gen.)A. flaLithuania768MZ06193155.83
Genus Hyperlaelaps
H. microti (1 gen.)M. arvLithuania760MZ04383555.81
H. microti (2 gen.)M. arvLithuania760MZ04383655.91
Genus Myonyssus
M. gigasA. flaLithuania771MZ04383255.93
C. glaLithuania811MZ04383155.52
Genus Hirstionyssus
Hirstionyssus sp.A. agrLithuania818ON77552055.91
A. agrLithuania818ON77552155.91
Abbreviations: A. agr—Apodemus agrarius, A. fla—Apodemus flavicollis, A. syl—Apodemus sylvaticus, M. arv—Microtus arvalis, C. gla—Clethrionomys glareolus, M. min—Micromys minutus.
Table 2. Comparison of the 28S rRNA gene sequences of Laelaps genus mites in this study.
Table 2. Comparison of the 28S rRNA gene sequences of Laelaps genus mites in this study.
Nucleotide Position 11122233333333333334
12388900189913466677788890
Samples78336079595975836734913565
MZ043837 L. agilis A. flavicollis LithuaniaGGTATGAGTGTGCTAGTGAAGCGTTC
MZ043838 L. agilis A. agrarius Lithuania..........................
MZ043839 L. agilis C. glareolus Lithuania..........................
MZ043840 L. agilis M. minutus Lithuania..........................
MZ043841 L. agilis A. flavicollis Slovakia..........................
MZ043842 L. agilis A. agrarius Slovakia..........................
MZ043843 L. agilis A. sylvaticus Czech Republic..........................
MZ043844 L. agilis C. glareolus Czech Republic..........................
MZ043846 L. hilaris M. arvalis LithuaniaCA.TCAGAATCATCTTC.GG..AGAA
MZ043833 L. jettmari A. flavicollis SlovakiaT.AT...AG...T.T.CAGGAT.GAA
MZ043834 L. jettmari A. flavicollis LithuaniaT.AT...AG...T.T.CAGGAT.GAA
ON763742 L. jettmari A. agrarius LithuaniaT.AT...AG...T.T.CAGGAT.GAA
Nucleotide Position4444444444445555555555567
0112457788991112478899902
Samples9089594647252346444806779
MZ043837 L. agilis A. flavicollis LithuaniaGGAAGTAACCTTGAGTATATTACCC
MZ043838 L. agilis A. agrarius Lithuania.........................
MZ043839 L. agilis C. glareolus Lithuania.........................
MZ043840 L. agilis M. minutus Lithuania.........................
MZ043841 L. agilis A. flavicollis Slovakia.........................
MZ043842 L. agilis A. agrarius Slovakia.........................
MZ043843 L. agilis A. sylvaticus Czech Republic.........................
MZ043844 L. agilis C. glareolus Czech Republic.........................
MZ043846 L. hilaris M. arvalis Lithuania.AGGTCTG.GCATT.CT.GA.T.TT
MZ043833 L. jettmari A. flavicollis SlovakiaAA.GA.TGTGC...ACCC..CTTTT
MZ043834 L. jettmari A. flavicollis LithuaniaAA.GA.TGTGC...ACCC..CTTTT
ON763742 L. jettmari A. agrarius LithuaniaAA.GA.TGTGC...ACCC..CTTTT
Table 3. Genetic distances within and between Laelapidae species.
Table 3. Genetic distances within and between Laelapidae species.
SpeciesGenetic Distance
28S rRNA COI
Within Species Between Species aWithin SpeciesBetween Species a
L. a00–0.046312 (vs. L. j)0–0.0337180–0.125923 (vs. L. j)
0–0.056138 (vs. L. h) 0–0.146954 (vs. L. h)
0–0.116236 (vs. E. s) - (vs. E. s)
0–0.113036 (vs. Hg. n) 0–0.302688 (vs. Hg. n)
0–0.137949 (vs. H. m) 0–0.211204 (vs. H. m)
0–0.113032 (vs. M. g) 0–0.308024 (vs. M. g)
0–0.112793 (vs. Hirst. sp.) - (vs. Hirst. sp.)
L. j00–0.042192 (vs. L. h)0–0.0192130–0.155239 (vs. L. h)
0–0.099372 (vs. E. s) - (vs. E. s)
0–0.100931 (vs. Hg. n) 0–0.318748 (vs. Hg. n)
0–0.125555 (vs. H. m) 0–0.206667 (vs. H. m)
0–0.099202 (vs. M. g) 0–0.337406 (vs. M. g)
0–0.105226 (vs. Hirst. sp.) - (vs. Hirst. sp.)
L. h00–0.114634 (vs. E. s)0- (vs. E. s)
0–0.113034 (vs. Hg. n) 0–0.304940 (vs. Hg. n)
0–0.128336 (vs. H. m) 0–0.211069 (vs. H. m)
0–0.105137 (vs. M. g) 0–0.320741 (vs. M. g)
0–0.118999 (vs. Hirst. sp.) - (vs. Hirst. sp.)
E. s0–0.0026260–0.022748 (vs. Hg. n)-- (vs. Hg. n)
0–0.169238 (vs. H. m) - (vs. H. m)
0–0.024086 (vs. M. g) - (vs. M. g)
0–0.043391 (vs. Hirst. sp.) - (vs. Hirst. sp.)
Hg. n0–0.0026320–0.162658 (vs. H. m)00–0.337478 (vs. H. m)
0–0.026818 (vs. M. g) 0–0.344651 (vs. M. g)
0–0.046214 (vs. Hirst. sp.) - (vs. Hirst. sp.)
H. m00–0.165662 (vs. M. g)0.0880650–0.332020 (vs. M. g)
0–0.179227 (vs. Hirst. sp.) - (vs. Hirst. sp.)
M. g00–0.040487 (vs. Hirst. sp.)0- (vs. Hirst. sp.)
Hirst. sp.0---
Abbreviations: L. a—Laelaps agilis, L. j—Laelaps jettmari, L. h—Laelaps hilaris, E. s—Eulaelaps stabularis, Hg. n—Haemogamasus nidi, H. m—Hyperlaelaps microti, M. g—Myonyssus gigas, Hirst. sp.—Hirstionyssus sp., - no data available. a Mean distances are shown between species.
Table 4. Hosts and GenBank nucleotide accession numbers of the COI gene sequences of Laelapidae mites.
Table 4. Hosts and GenBank nucleotide accession numbers of the COI gene sequences of Laelapidae mites.
Taxonomic Status of SpeciesHost
Species
CountryLength (bp)GenBank
Accession No.
AT%No of Representative
Samples
Genus Laelaps
L. agilis (1 hap.)A. flaSlovakia699MZ31516774.11
A. flaSlovakia695MZ31516874.43
A. flaLithuania650ON75495673.84
C. glaLithuania651ON75495573.72
A. sylCzech Republic685MZ31517274.51
C. glaCzech Republic651OP19924873.71
L. agilis (2 hap.)A. sylCzech Republic684MZ31516974.31
A. sylCzech Republic688MZ31517174.21
L. agilis (3 hap.)A. sylCzech Republic684MZ31517073.51
L. agilis (4 hap.)A. agrLithuania582MZ048460 74.61
A. agrLithuania582MZ048461 74.61
C. glaLithuania582MZ04846274.62
A. flaLithuania646ON75495774.07
L. agilis (5 hap.)C. glaLithuania582MZ048463 74.21
L. agilis (6 hap.)M. oecLithuania582MZ048464 74.41
A. flaLithuania649ON75495873.71
L. agilis (7 hap.)C. glaLithuania647ON75496373.72
A. flaLithuania650ON75496273.72
A. flaLithuania650ON75496173.75
M. minLithuania649ON75496073.71
C. glaLithuania652ON75495973.53
L. agilis (8 hap.)A. flaLithuania650ON75496473.81
L. agilis (9 hap.)A. flaNorway650ON75496573.11
L. jettmari (1 hap.)A. agrLithuania582MZ048465 73.91
L. jettmari (2 hap.)A. agrLithuania582MZ048466 73.71
L. jettmari (3 hap.)A. agrLithuania657OP19924672.01
A. agrLithuania645OP19924572.21
L. hilarisA. agrLithuania582MZ04845572.01
M. arvLithuania582MZ048456 72.01
M. arvLithuania582MZ048457 72.01
Genus Haemogamasus
Hg. nidiA. flaLithuania582MZ04995664.91
C. glaLithuania582MZ04995764.91
Genus Hyperlaelaps
H. microti (1 hap.)M. arvLithuania582MZ04846773.71
H. microti (2 hap.)M. oecLithuania582MZ04846872.31
Genus Myonyssus
M. gigasC. glaLithuania582MZ04846970.11
C. glaLithuania582MZ048470 70.11
Abbreviations: A. agr—Apodemus agrarius, A. fla—Apodemus flavicollis, A. syl—Apodemus sylvaticus, M. arv—Microtus arvalis, M. oec—Microtus oeconomus, C. gla—Clethrionomys glareolus.
Table 5. Comparison of the COI gene sequences of L. agilis mites in this study.
Table 5. Comparison of the COI gene sequences of L. agilis mites in this study.
Nucleotide PositionNo of Representative Samples 111112223333445555
13479356770180279581124
Samples53850862121689126030629
1 HAPMZ315167 A. fla SK 1ATATTAGAGGAAGAAATTGAGAA
MZ315168 A. fla SK 3.......................
ON754956 A. fla LT 4.......................
ON754955 C. gla LT 2.......................
MZ315172 A. syl CZ 1.......................
OP199248 C. gla CZ 1.......................
2 HAPMZ315171 A. syl CZ 1....C..................
MZ315169 A. syl CZ 1....C..................
3 HAPMZ315170 A. syl CZ 1T.G..GAG...GATGTAAAGAG.
4 HAPMZ048462 C. gla LT 2........A.............G
MZ048461 A. agr LT 1........A.............G
MZ048460 A. agr LT 1........A.............G
ON754957 A. fla LT 7........A.............G
5 HAPMZ048463 C. gla LT 1...C..................G
6 HAPMZ048464 M. oec LT 1......................G
ON754958 A. fla LT 1......................G
7 HAPON754963 C. gla LT 2...C...................
ON754962 A. fla LT 2...C...................
ON754961 A. fla LT 5...C...................
ON754960 M. min LT 1...C...................
ON754959 C. gla LT 3...C...................
8 HAPON754964 A. fla LT 1...C.....A.............
9 HAPON754965 A. fla NO 1TC...GAG..GGATGTAAAGAG.
Abbreviations: L. a—Laelaps agilis, A. agr—Apodemus agrarius, A. fla—Apodemus flavicollis, A. syl—Apodemus sylvaticus, C. gla—Clethrionomys glareolus, M. oec—Microtus oeconomus; M. min—Micromys minutus, LT—Lithuania, SK—Slovakia, CZ—Czech Republic, NO—Norway.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Kaminskienė, E.; Radzijevskaja, J.; Griciuvienė, L.; Stanko, M.; Snegiriovaitė, J.; Mardosaitė-Busaitienė, D.; Paulauskas, A. Molecular Identification and Phylogenetic Analysis of Laelapidae Mites (Acari: Mesostigmata). Animals 2023, 13, 2185. https://doi.org/10.3390/ani13132185

AMA Style

Kaminskienė E, Radzijevskaja J, Griciuvienė L, Stanko M, Snegiriovaitė J, Mardosaitė-Busaitienė D, Paulauskas A. Molecular Identification and Phylogenetic Analysis of Laelapidae Mites (Acari: Mesostigmata). Animals. 2023; 13(13):2185. https://doi.org/10.3390/ani13132185

Chicago/Turabian Style

Kaminskienė, Evelina, Jana Radzijevskaja, Loreta Griciuvienė, Michal Stanko, Justina Snegiriovaitė, Dalytė Mardosaitė-Busaitienė, and Algimantas Paulauskas. 2023. "Molecular Identification and Phylogenetic Analysis of Laelapidae Mites (Acari: Mesostigmata)" Animals 13, no. 13: 2185. https://doi.org/10.3390/ani13132185

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop