Demodex mites are a group of hair follicle and sebaceous gland-dwelling species. The species of these mites found on humans are arguably the animals with which we have the most intimate interactions. Yet, their prevalence and diversity have been poorly explored. Here we use a new molecular method to assess the occurrence of Demodex mites on humans. In addition, we use the 18S rRNA gene (18S rDNA) to assess the genetic diversity and evolutionary history of Demodex lineages. Within our samples, 100% of people over 18 years of age appear to host at least one Demodex species, suggesting that Demodex mites may be universal associates of adult humans. A phylogenetic analysis of 18S rDNA reveals intraspecific structure within one of the two named human-associated Demodex species, D. brevis. The D. brevis clade is geographically structured, suggesting that new lineages are likely to be discovered as humans from additional geographic regions are sampled.
Citation: Thoemmes MS, Fergus DJ, Urban J, Trautwein M, Dunn RR (2014) Ubiquity and Diversity of Human-Associated Demodex Mites. PLoS ONE 9(8): e106265. doi:10.1371/journal.pone.0106265
Editor: Sergios-Orestis Kolokotronis, Fordham University, United States of America
Received: January 3, 2014; Accepted: August 1, 2014; Published: August 27, 2014
Copyright: © 2014 Thoemmes et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: DJF, RRD, and MST were supported on a NASA Biodiversity grant (ROSES NNX09AK22G), www.nasa.gov/, and NSF Career grant (0953390), www.nsf.gov/, during this work. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Many organisms live on us and in us. Fewer than 10% of the cells in our bodies are actually our own. Most of these organisms are bacteria, but we are also colonized by multicellular species including fungi , intestinal worms  and ectoparasites, such as lice –, with nearly 2000 pathogen and parasite species alone known from human bodies . Among the more enigmatic of the multicellular species that live on humans, as well as on other mammals, are mites of the genus Demodex (reviewed in ), which are common on human faces and other parts of the body , . While these mites are well known to dermatologists, ophthalmologists, and veterinarians and have been the subject of study for 172 years (reviewed in ), their ubiquity, diversity and evolution are poorly understood. For example, Demodex have not been sampled from the vast majority of mammal species, including those that seem very likely to host Demodex mites, such as chimpanzees and gorillas. Nor have most human populations been sampled for these mites.
Two species of Demodex, D. brevis (Akbulatova 1963) and D. folliculorum (Simon 1842), have been described from the human body. In general, Demodex live mostly within hair follicles. Biopsies of skin cross-sections reveal D. folliculorum to inhabit the area of the follicle above the sebaceous gland, where they appear to ingest cell contents . D. brevis, on the other hand, primarily inhabits the sebaceous glands associated with vellus hairs , typically at densities of just one to a few mites per gland. With approximately 5 million hair follicles spread across the body  and more than 7 billion humans on Earth, the total habitat area available to these mites is immense. Methods used to collect Demodex mites from humans include biopsy, the cellophane tape method (placing tape on the face to stick to the mites), scraping areas where mites are likely to reside, and plucking eyelash and eyebrow hairs. Based on the visual observation of mites collected from healthy individuals by these methods, it appears that approximately 3–55% of humans harbor Demodex, with most studies falling in the range of 10–20% , –. However, because these mites may occur in patches around the body, as in dogs , and all existing collection methods sample just small patches of skin (and even incompletely sample those patches), it is difficult to know to what extent the absence of mites in a sample equates to the absence of mites on the body. Intriguingly, in postmortem studies, mites appear to be present on all adult cadavers (reviewed in ). The ubiquity of mites on cadavers might indicate they are universally present on living, adult humans but missed by current sampling methods. Alternately, conditions in which cadavers are found might facilitate colonization by mites and, in doing so, artificially inflate estimates of their incidence.
Even less well understood than the proportion of people (or for that matter, other mammals) that host Demodex mites is the diversity of those mites. While two species of human-associated mites have been formally named, they were named based on morphological characters alone , . Given that Demodex mites inhabit restrictive, specialized environments (hair follicles), some aspects of their morphology, including their small size (∼100–200 µM) and general elongate appearance, could reflect convergent evolution among distinct lineages or species groups which would only be discerned by examination of non-morphological data, e.g. by DNA sequence-based differences. A recent study of human Demodex species found genetic differences in the mitochondrial CO1 gene between mite populations that inhabit the eyelashes versus mite populations that inhabit the skin . In addition, studies of another human-associated parasite, lice (Pediculus humanus), have found strong genetic structure between geographic lineages , , . Geographic structure among human-associated Demodex lineages is expected, given that these mites are more intimately associated with the body than lice and seemingly less mobile, yet the minimal data that exist have not yet recovered such variation . Conversely, if Demodex lack strong geographic structure, it suggests the movement of mites among humans must occur very frequently (perhaps even with social greeting rituals) and across large geographic distances.
Only recently have molecular studies begun to consider Demodex mites. Existing phylogenies and estimates of molecular divergence include very limited sampling of Demodex species, are based on few genetic markers, and include only minimal geographic representation. The DNA sequences that have been obtained from human-associated Demodex species come almost exclusively from China (D. folliculorum and D. brevis) and Spain (D. folliculorum) , . Studies based on the 16S rRNA gene (16S rDNA) find little variation within D. folliculorum and show no geographic structure between samples from China and Spain . However, no molecular data have been considered from D. brevis outside of China, and low genetic variation observed for human-associated Demodex in previous phylogenies  may reflect insufficient sampling rather than the actual genetic diversity of Demodex mites.
Here we test a new molecular approach to detect the presence of mites on human bodies and assess the proportion of individuals in one population colonized by mites. We then use phylogenetic reconstruction based on the nuclear 18S rRNA gene (18S rDNA) to better understand the diversity of these mites.
Materials and Methods
Participants were sampled by project staff at outreach events. Prior to sampling, each participant was verbally informed about the goals of the project and the sampling protocol. All participants were provided and signed a written Informed Consent form. All human Demodex sampling procedures and the participant Informed Consent form were approved by North Carolina State University's Institutional Review Board for the Protection of Human Subjects in Research (IRB), Approval No. 2966.
(a) Sample collection
All sample collections were performed in Raleigh, NC at either the North Carolina Museum of Natural Sciences or North Carolina State University. Each participant was gently scraped with a metal laboratory spatula along the creases of the nose and over the surrounding cheek area. The facial habitats were chosen based on their high levels of sebum production and ease of pore expression. In addition, Bonnar et al. (1993) found the greatest abundance of mites in the cheek area among rosacea patients . Mineral oil was typically applied to the sampled area to facilitate mite removal. After collection, the sebum was moved to a drop of mineral oil on a cover slip fragment where it was inspected to note the presence or absence of visually identifiable mites within the sample. Regardless of the presence or absence of observed mites the entire cover slip fragment with the sebum and mineral oil was transferred to a 1.5 ml microcentrifuge tube and maintained in −20°C for subsequent DNA extraction.
(b) DNA Extraction and PCR
DNA was extracted from the sebum of individual participants, regardless of the presence or absence of an observed mite, using a Qiagen DNeasy Blood & Tissue kit. We followed the manufacturer's supplementary insect protocol, without the initial grinding step. The samples were incubated overnight at 56°C with 180 µl of ATL buffer and 20 µl proteinase K. The final elution step was performed with 150 µl of elution buffer warmed to 56°C.
We used either OneTaq (NEB) or TaKaRa Ex Taq (Clontech), which possess proofreading functions, for all PCR reactions to reduce polymerase induced sequence errors. We designed the primers by aligning all available Demodex 16S rDNA or 18S rDNA sequences across the same genes from several other mites and from humans. In an attempt to design primers that were likely to be unbiased with regards to Demodex and have a low affinity for the hosts' DNA, we selected priming sites near the 5′ and 3′ ends of most available Demodex sequences that were highly conserved among these mites, yet that were unlikely to amplify these genes from humans. The 16S rDNA primer sequences used were 5′-GGTATTTTGACTGTGCTAAGG-3′ and 5′-AAAARCCAACATCGAGGTA-3′, which amplify the region from nucleotide 26 to 358 of D. folliculorum sequence FN424245.1. The PCR cycling conditions for 16S rDNA were 94°C for 1 min, followed by 40 cycles of 94°C for 20 s, 47°C for 30 s, 72°C for 1 min and a final 72°C extension for 5 min. The 18S rDNA primers were 5′-GTTGAKCCTGCCAGTAGTCA-3′ and 5′-GTCTGAAGACCTCACTAAATC-3′, which amplify the region from nucleotide 7 to 1688 of D. folliculorum sequence JF784006.1. The PCR cycling conditions for 18S rDNA were 94°C for 1 min, followed by 40 cycles of 94°C for 20 s, 45°C for 30 s, 72°C for 2 min and a final 72°C extension for 5 min.
The 16S rDNA PCR products were separated on 2% agarose gels to assess presence or absence of mite DNA within a sample. Non-specific amplification of human 16S rDNA occasionally occurred but was easily discernible as an approximately 100 bp larger product (see Figure 1B, lane 4). For this analysis, a set of 19 individuals over 18 years of age and a second set of ten individuals 18 years of age were used. Several 16S rDNA PCR reactions were also sequenced to verify the specificity of the primers. However, data from this gene was not sequenced for most individuals, because this sequence was rather short (∼325 bp) and did not contain many phylogenetically informative sites (i.e., two phylogenetically informative sites exist among our 16S rDNA sequences and the D. folliculorum sequences available on GenBank).
Lanes labeled 1–29 represent samples from single individual participants. Lanes labeled M represent 100 bp molecular weight size markers. (a) PCR products indicate the presence of Demodex DNA in 100% of the screened samples from individuals over the age of 18. (b) PCR products indicate the presence of Demodex DNA in 70% of the screened samples from individuals 18 years of age.
The 18S rDNA PCR products were sequenced from four individuals and used for phylogenetic analyses. We chose 18S rDNA for these analyses as this PCR works well with very little incident of non-specific bands (see Figure 1A). Furthermore, the transfer of mtDNA between closely related species has been frequently observed –. By using the nuclear 18S rDNA, we hope to decrease the likelihood of introgression obscuring population or species variation. All sequences were submitted to GenBank (Table 1).
(c) Sequencing and Phylogenetic Analysis
Because our faces have the potential to harbor many thousands of individual Demodex mites, we expect remnants of these mites to be present in our pores and on the surface of our faces, making the clean isolation of Demodex DNA from a single mite difficult. Thus, we presume that each of our scrapings is likely to harbor DNA from multiple mites. To obtain sequences from single copies of 18S rDNA from individual mites, we cloned the 18S rDNA PCR products using TOPO TA Cloning Kits (Invitrogen). We picked and sequenced a minimum of five colonies from each person sampled in this study to get a sense of the diversity within an individual host. The resulting sequences were aligned with Demodex sequences available on GenBank using MAFFT v7 , with the E-INS-i algorithm, and checked by eye for best alignment. All GenBank sequences are named according to the species names given in GenBank; however, due to the current state of Demodex systematics some sequences are likely improperly designated (particularly dog-hosted species), leading to paraphyly of some taxa. The 18S rDNA sequence from a mite species, Neochelacheles messersmithi, in the same superfamily as Demodex, Cheyletoidea, was included as an outgroup for phylogenetic analysis.
To obtain estimates of genetic divergence between 18S rDNA sequences of all taxa included for phylogenetic analysis, Kimura 2-parameter distances (K2P)  and total number of nucleotide differences were calculated using MEGA v5 . Genetic distances were calculated for all pairwise sequence comparisons as well as intra- and interspecific means.
Phylogenetic analyses were conducted using maximum likelihood (ML) and Bayesian inference (BI). Under both methods, gaps in the alignment were treated as missing data. jModelTest 2  was used to determine the best-fitting model for the 18S rDNA data set. Using the corrected Akaike information criterion , the TIM2+ I + G model (with two rates of transitions and two rates of transversions) was selected as the best-fitting model for these data . ML analysis was conducted using GARLI 2.0 for Windows . Ten independent search replicates were run under the TIM2+ I + G model, with each replicate run for 100,000 generations. Bootstrap support values for nodes on the ML topology were computed with GARLI by running 1000 bootstrap replicates. The Bayesian analysis was conducted with MrBayes 3.2 . Two independent runs were performed for 50 million generations, each with four chains (three heated and one cold), uninformative priors, and trees sampled at intervals of 1000 generations. Stationarity was determined by examining standard deviation of split frequencies between the two runs for convergence and examination of average potential scale reduction factor (PSRF). Of the 50,000 trees sampled in each run, the first 10,000 trees were discarded as burn-in and the remaining trees were used to construct a 50% majority rule consensus tree. Because the standard deviation of split frequencies was observed to drop and remain below 0.01 by 1,500,000 generations (i.e., 1500 sampled trees), our burn-in value of 10,000 was chosen to ensure that trees were sampled well after runs had reached convergence. The harmonic mean of likelihoods was estimated for post burn-in trees using the sump command in MrBayes. We assigned putative species sources for new sequences based solely on phylogenetic distance of previously reported species.
Based on the observation of visually identifiable mite specimens within our samples, the prevalence of mites in adults was 14% (n = 253), in line with previous studies , –. However, we were able to extract Demodex 16S rDNA from 100% of adults over the age of 18 (Figure 1A; Mean age: 37±10.4 years, n = 19). Molecular evidence suggests Demodex prevalence is much higher than recognized through visual observation alone. Our results are in line with postmortem studies that find Demodex mites present on all adult cadavers (reviewed in ).
Based on the observation of intact specimens in samples of young adults 18 years of age, mites were found on only 5.88% (n = 51). Of the ten 18 year olds we examined further for Demodex 16S rDNA, we amplified 16S rDNA PCR products from only seven samples (Figure 1B). Thus while 100% of adults in our sample hosted Demodex mite 16S rDNA, the prevalence and/or detectability in younger individuals appears lower (70%).
For phylogenetic analyses, we amplified, cloned, and sequenced Demodex 18S rDNA from four individual humans from whom we identified 17 unique Demodex 18S rDNA sequences (Table 1). These sequences reflect the presence of multiple mites within a given sample, even if we assume the presence of sequencing error and potential variation among 18S rDNA copies within the genome. We combined these sequences with previously published Demodex 18S rDNA sequences, representing at least 5 species from 4 mammalian hosts (human: D. brevis and D. folliculorum, dog: D. canis, mouse: D. musculi, and white-tailed deer: D. sp.) and an additional mite outgroup, Neochelacheles messersmithi, from the same superfamily as Demodex, Chelyetoidea (Figure 2). Our alignment comprised 1664 bp for 35 sequences (see Material S1 for alignment). The ML analysis yielded a tree with the best score of –ln = 4887.29 (see Material S2 for ML tree file). The Bayesian analysis yielded a 50% consensus tree with harmonic mean of likelihood = −4976.76 (see Material S3 for Bayesian tree file). The average standard deviation of split frequencies of sampled trees = 0.00119, and the PSRF of sampled trees = 1.000. Phylogenetic analyses conducted with ML and BI yielded largely congruent topologies; minor incongruencies were restricted to placement of sequences with extremely short internodal branch lengths within the D. folliculorum clade and as such do not influence our interpretation. The ML topology is shown in Figure 2, with Bayesian posterior probabilities and ML bootstrap support values depicted adjacent to the major nodes of interest.
Support values (Bayesian posterior probabilities/ML bootstrap support) given next to major nodes in the topology. Scale bar indicates the number of substitutions per site. Icons indicate mite host.
As evident in our phylogenetic results, we found substantial genetic diversity among (up to 0.065 K2P distance, up to 20 nucleotide substitutions (nts)) and within Demodex species (up to 0.032 K2P, up to 10 nts) (Table S1). Several of our sequences fit within a relatively well-supported D. folliculorum clade within which we find low genetic diversity (0.002 K2P, up to 2 nts) even though the individuals sampled included humans from North and South America and sequences from GenBank for individuals from China. Greater diversity is present within the D. brevis clade (up to 6.5 K2P, up to 10 nts). Multiple lineages of D. brevis appear to be present even on individual humans (within participant diversity: 0.006–0.007 K2P, 2–2.16 nts). However, the greatest diversity was among geographically distinct human populations (up to 0.032 K2P distance between American and Chinese sequences, 10 nts). Existing sequences of D. brevis sampled from humans in China resolve as a monophyletic clade sister to a New World clade composed of samples acquired for this study.
Here we tested 29 people for the presence of Demodex mites and found that mites were much more common than expected in comparison to methods that rely solely on the visual confirmation of whole mite specimens taken from living humans. When we sampled individuals using traditional approaches, our results were similar to those of the many previous morphologically based studies , –; 14% of individuals over the age of 18 had visually observed mites. But when we identified the presence of mites based on the amplification of Demodex DNA, we found that every adult over 18 years of age and 70% of 18 year olds had detectable Demodex 16S rDNA in the collected sebum of facial samples. Though it is possible Demodex 16S rDNA could be found on the face of an individual without mites, the likelihood that we detect such transferred DNA in our limited sampling area would be low. Moreover, if intact Demodex 16S rDNA were present in the environment at high enough levels to produce the results we see in adults, we would expect to see the same results among the 18 year olds, which we do not.
Little is known about the transmission of mites among humans. Recent studies find that many symbiotic microbes are passed directly from mother to offspring during breast-feeding  or during birth (especially if birth is vaginal) , , and dogs acquire their Demodex mites as nursing pups . In light of this, the same means of mite transmission seems possible in humans, supported by the fact that in one study, Demodex mites were found in 77% of nipple tissue from mastectomies . Yet that we found mites on all adults but only 70% of 18 year olds, suggests that perhaps mite colonization does not strictly occur vertically, from parent to child. These results are in line with earlier morphological (largely postmortem) studies in which mites were found to be more prevalent on adults than on children (reviewed in ). Mites could be more ubiquitous on children than noted in postmortem studies or herein but at levels or in locations that make the mites difficult to detect even with the use of molecular approaches. One study of Demodex mites on Tokelau islanders found that mites were present on a greater number of children than on adults . These conflicting findings highlight our limited understanding of how and when mites move onto and among human bodies.
Overall, we found the genetic variation of 18S rDNA within the genus Demodex comparable (up to 0.065 K2P) to the level of variation found among other genera within Acari (0.00–0.056 K2P; Ticks: Ixodidae)  (Table S1). This diversity suggests Demodex is a relatively old genus and even that the divergence between the two named human-associated species, D. brevis and D. folliculorum, might be relatively ancient. Within Demodex, D. folliculorum and D. brevis exhibit contrasting levels of intraspecific genetic diversity. D. folliculorum, which can be found living superficially within pores, show very little variation in the 18S rDNA sequence data we generated (mean of 0.002 K2P, up to 2 nts).
In comparison to D. folliculorum, D. brevis exhibited higher genetic diversity, not only between mites from the Americas and those from China (up to 0.032 K2P, up to 10 nts) but also among mites collected from the same individual human (0.005–0.009 K2P, 1.6–4.0 nts). Sequences of 18S rDNA from different D. brevis samples taken from the same face (of participant 141, Figure 2) exhibited more genetic variation (0.006 K2P, 4 nts) than those of D. folliculorum taken from Chinese and North and South Americans (mean 0.002 K2P). The diversity of D. brevis 18S rDNA found on individual humans suggests that not only do all adult humans have Demodex mites but that colonization is likely to occur more than once.
The Chinese D. brevis samples in GenBank and our newly generated samples from the Americas each form monophyletic clades with a relatively deep divergence between them (mean 0.021 K2P, 6.5 nts). The distance between the two D. brevis clades suggests strong geographic isolation among populations of D. brevis. Based on sequence divergence, these two populations are as different as are many congeneric species and subspecies. The 18S rDNA variation found between these two geographic populations is similar, for example, to that found between subspecies of parasitic lice, the head louse and body louse (Pediculus humanus capitis and Pediculus humanus humanus) . D. brevis can be found more deeply embedded in sebaceous glands below the skin surface, in comparison to D. folliculorum that lives more superficially in the hair follicles. These contrasting habitat preferences may lead to more frequent transmission of D. folliculorum than of D. brevis, thus resulting in greater reproductive isolation and geographic structure in populations. However, given our limited geographic sampling, we expect the Demodex topology to change as samples from other regions are integrated.
The evolutionary history of the two human-associated Demodex species is, at best, poorly understood. D. folliculorum was described by Simon in 1842, and as late as 1933, all human Demodex were regarded as one, albeit variable, species , . It was only in 1963 that D. brevis was distinguished from D. folliculorum and described as a separate, but closely related, species . Yet de Rojas et al. (2012) have demonstrated that interpreting variation in the morphology of the two human-associated Demodex mite species is problematic, even when interpreted in light of molecular (16S rDNA) sequence data . The closest relatives for both human-associated species, D. folliculorum and D. brevis, remain unknown and are likely to remain unknown until these mites are much better sampled from other primates and mammalian hosts in general. Of the described Demodex species, only 13 have been sampled for molecular data and included in phylogenetic analyses. In addition, given that there are over 5000 species of mammals and as of yet, some mammals (such as humans, dogs, and cats) appear to host more than one Demodex species, any existing phylogeny represents a minute fraction of the possible species diversity of the genus. Demodex are generally considered to be species specific, which would suggest there might be as many as 10,000 Demodex species on living mammals if there are two host specific mites per mammal species. Obviously, this estimate depends both on the ubiquity of Demodex mites among mammal species and on their true host specificity, both of which are poorly known.
Our phylogeny indicates that the two human-associated mite lineages do not share a recent common ancestor and likely have separate evolutionary histories of transmission to humans. The 18S rDNA sequence does not resolve the sister group to D. folliculorum, but places a paraphyletic group of dog-associated mites as the closest relative to D. brevis. The dog mite sequences included here were all acquired from GenBank and are primarily labeled D. canis. Yet, there are 3 morphologically distinct Demodex species that have been described from dogs (D. canis, D. injai, and D. cornei) and the molecular delimitation of these dog-associated species is not clear . It seems likely that the sequences labeled D. canis included here may actually represent multiple dog-hosted Demodex species. Phylogenetic estimates based on 16S rDNA also find that dog-hosted Demodex mites share a recent common ancestor with a human-associated species, though in this case D. folliculorum and D. brevis are both more closely related to goat-associated mites, D. caprae . The known habitat of D. canis is deep within the pores and is most similar to that of D. brevis. It is tempting to posit that D. brevis may have colonized humans from wolves during their domestication but any such assertion would be premature. Until other primate species are sampled, the mystery of whether humans acquired Demodex mites from our ape/hominid ancestors or through other means such as our interactions with domesticated mammal species will remain.
Pairwise distances between 18S rDNA sequences from Demodex species. Lower left = Kimura 2-parameter distances; Upper right = number of nucleotide differences.
Demodex 18S rDNA sequence alignment.
Tree file for the maximum likelihood (ML) tree.
Tree file for the Bayesian inference (BI) tree.
We would like to thank H Menninger for her immeasurable contributions to the project and endless hours of work. Also, we are grateful to all members of our extended team that helped at outreach events and for offering their time, lab space, and general support, including J Horvath-Roth, L Shell, C Penick, A Savage, M Barrow, B Hackett, D Beasley, L Nichols, EH Thoemmes and many others.
Conceived and designed the experiments: RRD MT MST DJF. Performed the experiments: MST DJF. Analyzed the data: DJF JU MT. Contributed reagents/materials/analysis tools: RRD JU. Wrote the paper: MST DJF JU MT RRD.
- 1. Findley K, Oh J, Yang J, Conlan S, Deming C, et al. (2013) Topographic diversity of fungal and bacterial communities in human skin. Nature 498: 367–370. doi: 10.1038/nature12171
- 2. Hoberg EP (2002) Taenia tapeworms: their biology, evolution and socioeconomic significance. Microbes Infect 4: 859–866. doi: 10.1016/s1286-4579(02)01606-4
- 3. Araujo A, Ferreira LF, Guidon N, Freire NMD, Reinhard KJ, et al. (2000) Ten thousand years of head lice infection. Parasitol Today 16: 269–269. doi: 10.1016/s0169-4758(00)01694-x
- 4. Reed DL, Smith VS, Hammond SL, Rogers AR, Clayton DH (2004) Genetic analysis of lice supports direct contact between modern and archaic humans. PLoS Biol 2: 1972–1983. doi: 10.1371/journal.pbio.0020340
- 5. Yong Z, Fournier PE, Rydkina E, Raoult D (2003) The geographical segregation of human lice preceded that of Pediculus humanus capitis and Pediculus humanus humanus. C R Biol 326: 565–574. doi: 10.1016/s1631-0691(03)00153-7
- 6. Taylor LH, Latham SM, Woolhouse MEJ (2001) Risk factors for human disease emergence. Phil Trans R Soc Lond B Biol Sci 356: 983–989. doi: 10.1098/rstb.2001.0888
- 7. Nutting W (1976) Hair follicle mites (Demodex spp.) of medical and veterinary concern. Cornell Vet 66: 214–231.
- 8. Ozdemir MH, Aksoy U, Akisu C, Sonmez E, Cakmak MA (2003) Investigating Demodex in forensic autopsy cases. Forensic Sci Int 135: 226–231. doi: 10.1016/s0379-0738(03)00216-0
- 9. Rufli T, Mumcuoglu Y (1981) The hair follicle mites Demodex folliculorum and Demodex brevis: biology and medical importance. Dermatologica 162: 1–11. doi: 10.1159/000250228
- 10. Desch CE (2009) Human hair follicle mites and forensic acarology. Exp Appl Acarol 49: 143–146. doi: 10.1007/s10493-009-9272-0
- 11. Desch CE, Nutting W (1972) Demodex folliculorum (Simon) and D. brevis (Akbulatova) of man: redescription and reevaluation. J Parasitol 58: 169–177. doi: 10.2307/3278267
- 12. Paus R, Cotsarelis G (1999) The biology of hair follicles. N Engl J Med 341: 491–497. doi: 10.1056/nejm199908123410706
- 13. Kemal M, Sümer Z, Toker M, Erdoğan H, Topalkara A, et al. (2005) The prevalence of Demodex folliculorum in blepharitis patients and the normal population. Ophthalmic Epidemiol 12: 287–290. doi: 10.1080/092865805910057
- 14. Norn MS (2009) Incidence of Demodex folliculorum on skin of lids and nose. Acta Ophthalmol 60: 575–583. doi: 10.1111/j.1755-3768.1982.tb00603.x
- 15. Sengbusch HG, Hauswirth JW (1986) Prevalence of hair follicle mites, Demodex folliculorum and D. brevis (Acari: Demodicidae), in a selected human population in western New York, USA. J Med Entomol 23: 384–388.
- 16. Yazar S, Ozcan H, Cetinkaya U (2008) Investigation of Demodex sp. using cellophane tape method among university students. Turkiye Parazitol Derg 32: 238–240.
- 17. Ravera I, Altet L, Francino O, Sanchez A, Roldan W, et al. (2013) Small Demodex populations colonize most parts of the skin of healthy dogs. Vet Dermatol 24: 168–172. doi: 10.1111/j.1365-3164.2012.01099.x
- 18. Akbulatova L (1963) Demodicidosis of man. Vestn Dermatol Venerol 38: 34–42.
- 19. Simon G (1842) Ueber eine in den kranken und normalen haarsacken des menschen lebende milbe. Arch Anat, Physiol u Wissensch Med 11: 218–237.
- 20. de Rojas M, Riazzo C, Callejon R, Guevara D, Cutillas C (2012) Morphobiometrical and molecular study of two populations of Demodex folliculorum from humans. Parasitol Res 110: 227–233. doi: 10.1007/s00436-011-2476-3
- 21. Light JE, Allen JM, Long LM, Carter TE, Barrow L, et al. (2008) Geographic distributions and origins of human head lice (Pediculus humanus capitis) based on mitochondrial data. J Parasitol 94: 1275–1281. doi: 10.1645/ge-1618.1
- 22. Zhao YE, Wu LP (2012) Phylogenetic relationships in Demodex mites (Acari: Demodicidae) based on mitochondrial 16S rDNA partial sequences. Parasitol Res 111: 1113–1121. doi: 10.1007/s00436-012-2941-7
- 23. Bonnar E, Eustace P, Powell FC (1993) The Demodex mite population in rosacea. J Am Acad Dermatol 28: 443–448. doi: 10.1016/0190-9622(93)70065-2
- 24. Tautz D, Arctander P, Minelli A, Thomas R, Volger A (2003) A plea for DNA taxonomy. Trends Ecol Evol 18: 70–74. doi: 10.1016/s0169-5347(02)00041-1
- 25. Melo-Ferreira J, Boursot P, Carneiro M, Esteves PJ, Farelo L, et al. (2011) Recurrent introgression of mitochondrial DNA among hares (Lepus spp.) revealed by species-tree inference and coalescent simulations. Syst Biol 61: 367–381. doi: 10.1093/sysbio/syr114
- 26. Boratyński Z, Alves PC, Berto S, Koskela E, Mappes T, et al. (2011) Introgression of mitochondrial DNA among Myodes voles: consequences for energetics? BMC Evol Biol 11: 355. doi: 10.1186/1471-2148-11-355
- 27. Katoh K, Standley DM (2013) MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol 30: 772–780. doi: 10.1093/molbev/mst010
- 28. Kimura M (1980) A simple method for estimating evolutionary rate of base substitutions through comparative studies of nucleotide sequences. J Mol Evol 16: 111–120. doi: 10.1007/bf01731581
- 29. Tamura K, Peterson D, Peterson N, Stecher G, Nei M, et al. (2011) MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol 28: 2731–2739. doi: 10.1093/molbev/msr121
- 30. Darriba D, Taboada GL, Doallo R, Posada D (2012) jModelTest 2: more models, new heuristics and parallel computing. Nat Methods 9: 772. doi: 10.1038/nmeth.2109
- 31. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Automat Contr 19: 716–723. doi: 10.1109/tac.1974.1100705
- 32. Posada D, Crandall KA (1998) Modeltest: testing the model of DNA substitution. Bioinformatics 14: 817–818. doi: 10.1093/bioinformatics/14.9.817
- 33. Zwickl DJ (2006) Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion. PhD dissertation, The University of Texas at Austin.
- 34. Ronquist F, Huelsenbeck JP (2003) MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 19: 1572–1574. doi: 10.1093/bioinformatics/btg180
- 35. Hunt KM, Foster JA, Forney LJ, Schutte UME, Beck DL, et al. (2011) Characterization of the diversity and temporal stability of bacterial communities in human milk. PLoS ONE 6: 1–8. doi: 10.1371/journal.pone.0021313
- 36. Dominguez-Bello MG, Costello EK, Contreras M, Magris M, Hidalgo G, et al. (2010) Delivery mode shapes the acquisition and structure of the initial microbiota across multiple body habitats in newborns. Proc Natl Acad Sci U S A 107: 11971–11975. doi: 10.1073/pnas.1002601107
- 37. Huurre A, Kalliomaki M, Rautava S, Rinne M, Salminen S, et al. (2008) Mode of delivery – effects on gut microbiota and humoral immunity. Neonatology 93: 236–240. doi: 10.1159/000111102
- 38. Greve JH, Gaafar SM (1966) Natural transmission of Demodex canis in dogs. J Am Vet Med Assoc 148: 1043–1045.
- 39. Garvin HSD (1946) Demodex folliculorum in the human nipple. Lancet 2: 44–45. doi: 10.1016/s0140-6736(46)90003-7
- 40. Andrews JRH (1989) The epidemiology of Demodex (Demodicidae) infestations in Tokelau islanders. In Medical and Veternary Acarology. New Delhi: Acarological Society of India, Bangalore. 97–101.
- 41. Mangold AJ, Bargues MD, Mas-Coma S (1998) Mitochondrial 16S rDNA sequences and phylogenetic relationships of species of Rhipicephalus and other tick genera among Metastriata (Acari: Ixodidae). Parasitol Res 84: 478–484. doi: 10.1007/s004360050433
- 42. Wilson E (1843) Researches into the structure and development of a newly discovered parasitic animalcule of the human skin, the Entozoon folliculorum. Philos Trans R Soc Lond 2: 305–319. doi: 10.1098/rspl.1843.0004
- 43. Fuss F (1933) La vie parasitairedu Demodex folliculorum hominis. Ann Derm et Syph 4: 1053–1062.
- 44. de Rojas M, Riazzo C, Callejon R, Guevara D, Cutillas C (2012) Molecular study on three morphotypes of Demodex mites (Acarina: Demodicidae) from dogs. Parasitol Res 111: 2165–2172. doi: 10.1007/s00436-012-3067-7
- 45. Zhao Y-E, Hu L, Ma J-X (2013) Phylogenetic analysis of Demodex caprae based on mitochondrial 16S rDNA sequence. Parasitol Res 76: 1–9. doi: 10.1007/s00436-013-3586-x