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Volume 2010 (2010), Article ID 934508, 12 pages
http://dx.doi.org/10.1155/2010/934508
Research Article

Distribution and Ecological Niches of Gamasid Mites (Acari: Mesostigmata) on Small Mammals in Southwest China

1Institute of Pathogens and Vectors, Dali University, Dali, Yunnan 671000, China
2School of Basic Medicine, Dali University, Dali, Yunnan 671000, China

Received 1 October 2009; Revised 2 February 2010; Accepted 22 April 2010

Academic Editor: Brian Forschler

Copyright © 2010 Li-Qin Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The ectoparasitic gamasid mites found on small mammals are important arthropods in the field of medical entomology. This paper studied the distribution and ecological niches of ectoparasitic gamasid mites on small mammal hosts in Yunnan Province of southwest China. Levins' niche breadth and Colwell-Futuyma's method were used to quantitatively evaluate host-specificity and similarity of host selection, and hierarchical analysis was used to illustrate niche overlap among gamasid mite species. Species diversity of both small mammals and gamasid mites was lower in indoor habitats than that in outdoor habitats. Most gamasid mite species were found on the body surface of the host species and niche breadths varied from species to species. A species with low niche breadth indicates high host specificity and most gamasid mites showed a relatively low niche overlap. The results suggest that a coevolutionary relationship may exist between some species of gamasid mites and their small mammal hosts.

1. Introduction

Ectoparasitic gamasid mites (Acari: Mesostigmata) on the body surface of small mammals (especially rodents and insectivores) are generally regarded as an important group of medical arthropods because some are suspected as potential vectors of more than 20 zoonoses. Besides dermatitis caused by feeding ectoparasitic gamasid mites, it has been proved that some gamasid mites could be vectors of rickettsial pox and hemorrhagic fever with renal syndrome (HFRS) [13]. Yunnan Province in southwest China (Figure 1) has been a persistent focal point for HFRS in recent years [4]. It is therefore deemed meaningful to investigate the distribution of ectoparasitic gamasid mites on small mammals in Yunnan Province. In recent years, Guo and his colleagues have made a series of studies on gamasid mites parasitic on small mammals in Yunnan, their research covered the fauna, geographical distribution, community structure, and other related issues concerning gamasid mites in that region [58]. Our intention was to expand on the distribution and ecological niches of ectoparasitic gamasid mites on small mammals ignored in Guo’s former reports by quantitatively evaluating host specificity and the possible coevolutionary relationship between ectoparasitic gamasid mites and their small mammal hosts. Mite ectoparasitism is a complicated phenomenon involving mutual adaptations between parasites and their hosts. As a result of long-term evolutionary and ecological processes, these complicated mutual interactions have important ecological and evolutionary implications [9, 10]. Parasitic species with high host specificity implies coevolution between parasites and hosts from an ecological view. Yet, host specificity is an ambiguous term that is difficult to quantitatively evaluate. We, therefore, introduce the concept of using the ecological niche to quantitatively evaluate host specificity of ectoparasitic gamasid mites [1113]. On the basis of evaluating ecological niche and overlap, this paper also discusses co-evolution between selected, dominant species of ectoparasitic gamasid mites and their small mammal hosts in Yunnan Province.

934508.fig.001
Figure 1: A map of Yunnan Province of China, showing the 28 investigated sites (28 counties).

2. Methods

2.1. Investigation Sites

The investigation compiled data came from 28 counties (28 investigation sites) in Yunnan Province (973139~1061147 East longitude, 21832~29158 North latitude), China. In the field investigation, small mammals were sampled yearly from 1990 to 2008 and surveys were conducted mainly from June to August each year. The 28 investigated sites (the animals captured from each county) included the counties of Baoshan (107), Yangbi (132), Jianchuan (668), Lijiang (377), Heqing (61), Xianggelila (317), Gongshan (795), Weishan (210), Nanjian (201), Puer (634), Ninger (113), Weixi (1560), Lanping (587), Dali (4142), Binchuan (523), Xiangyun (325), Wenshan (111), Qiubei (306), Mengzi (274), Yuanjiang (692), Fuyuan (450), Qiaojia (172), Suijiang (24), Yingjiang (116), Gengma (475), Maguan (112), Hekou (65), and Menghai (995) (Figure 1).

2.2. Trapping, Collection and Identification of Small Mammals, and Gamasid Mites

Small mammals (rodents, shrews, moles, sciurids, and lagomorphs) were captured with mousetraps or mouse cages (10cm×11cm×24cm) made by Guixi Mousetrap Apparatus Factory, Guixi, Jiangxi, China. In each investigated site, mousetraps were set in two different types of habitats, indoors (houses, stables, and stalls, etc.) and outdoors (garden, plowland, bush area, and forests). Each mousetrap was baited with a section cob of corn in the outdoors or a single oil-fried peanut in the indoors. The mousetraps randomly placed in a chosen habitat in the afternoon or evening and checked at dawn the next morning. Captured small mammal hosts were removed from traps, transferred to a white cloth bag in the field, and brought to the laboratory for mite inspection. In the laboratory, small mammals were inspected for mites after anesthetized with ether over a white tray. All gamasid mites found on the body surface of each host were collected and preserved in 70% ethanol. After gamisid mite inspection, individual small mammal hosts were identified to species on the basis of morphological characteristics [14]. After the sample was processed, all instruments were cleaned with disposable paper towels to reduce the chance of cross contamination. After the investigation at one site, preserved individual mite samples were washed several times in water to remove the alcohol and mounted with Hoyer's medium on microscope slides. After clearing and drying, each mite specimen was identified to species under a microscope according to published keys [15].

2.3. Voucher Specimens

Representative voucher specimens of small mammal and gamasid mite were deposited in the specimen repository of Institute of Pathogens and Vectors, Dali University, China.

2.4. Distribution of Gamasid Mites

The constituent ratios (Cr) of every captured small mammal species and their associated gamasid mite species were calculated. We defined dominant species by the higher constituent ratio compared to common or rare species. Species that accounted for more than 0.1% of the constituent ratio in a community were determined as dominant. Together with the constituent ratio (Cr) of gamasid mites on a certain species of small mammal, mite infestation rates (the percentage of infested hosts with gamasid mites) and the mite abundance (MA, mean number of gamasid mites per host examined) were also calculated for each host species. The data were analyzed by using the Chi-square test.

2.5. Measurement of Ecological Niche and Overlap

Based on the constituent ratios of collected gamasid mites, 30 dominant mite species were chosen as the target mites for measurement of ecological niche and overlap. The total constituent ratio of the 30 dominant mite species (target mite species) reached 97.68% and the rest 82 rare mite species were not considered because they were so rare. The 67 species of small mammals were regarded as 67 series of potential host resources. The individual distribution proportion (ratio) of each mite species on all 67 series of host resources was then calculated and regarded as the utilization proportion on host resources. Based on the utilization proportions, Levins’ niche breadth was used to evaluate the host-specificity [1618]: 𝐵𝑖=1𝑆𝑠𝑖=1𝑝2𝑖𝑛,(1) where 𝐵𝑖 is Levins’ niche breadth for mite species 𝑖 while 𝑃𝑖𝑛 is the utilization proportion of mite species 𝑖 on host resource 𝑛 (actually individual distribution proportion of mite species 𝑖 on host resource 𝑛), and 𝑆 the total series of host resources (𝑆 = 67 here, that is 67 species of small mammal hosts). A higher value of 𝐵𝑖 for a certain gamasid mite species means a lower host specificity, and vice versa.

The following proportional similarity of niche by Colwell-Futuyma was used to measure niche overlap between two species of gamasid mites [1921]: 𝐶𝑖𝑗1=12𝑆𝑛=1||𝑃𝑖𝑛𝑃𝑗𝑛||.(2)𝐶𝑖𝑗 represents the proportional similarity of niche between every two species of gamasid mites (species 𝑖 and 𝑗), 𝑃𝑖𝑛 and 𝑃𝑗𝑛 are the utilization proportion of mite species 𝑖 and 𝑗 on host resource 𝑛, and 𝑆 is the same as the previous formula. Values of 𝐶𝑖𝑗 range from 0 (no niche overlap) to 1 (complete overlap). Hierarchical analysis under SPSS 16.0 statistical software was used to illustrate the overall niche overlap among 30 gamasid mite species. Between-groups linkage method was used in the clustering process of hierarchical analysis, and the dendrogram was used to illustrate the clustering result.

All analyses were carried out in SPSS 16.0 for Windows (SPSS Inc., Chicago, IL, 2006).

3. Results

3.1. Collected Small Mammals and Gamasid Mites

A total of 14,544 individual small mammals were captured from 1990 to 2008 in the 28 counties (28 sampled sites) and identified as representing 10 families, 35 genera, and 67 species in five orders (Rodentia, Insectivora, Scandentia, Lagomorpha, and Carnivora). We collected 80,791 individual gamasid mites that were identified as 10 families, 33 genera, and 112 species.

3.2. Habitat Distribution of Small Mammals and Gamasid Mites

Species diversities of small mammals were much lower indoors than outdoors; that is, much fewer species were found in indoors than in outdoors (𝜒2=55.537, df=1, 𝑃<.001). The individual abundance of small mammal hosts and gamasid mites, however, was much higher indoors than in outdoor habitats (i.e., much more individuals were found indoors than outdoors). Of 67 species of small mammal hosts captured, for instance, only three species, Rattus tanezumi, Rattus norvegicus, and Mus musculus, dominated the indoor habitat, but their constituent ratios are relatively high (especially in Rattus tanezumi). The remaining 64 species of small mammal hosts were mainly distributed in outdoor habitats, but most of them had a relatively low constituent ratio (Table 1).

tab1
Table 1: Dominant small mammal hosts captured and number of gamasid mite species collected in Yunnan Province of southwest China.
3.3. Mite Infestation of Small Mammals

The number of mite species on mammals varies from host species to species (from 3 to 50 species, 𝜒2=286.1, df=33, 𝑃<.001) and most mite species can parasitize a very wide range of hosts (from 2 to 31 species, 𝜒2=109.0, df=29, 𝑃<.001). The mite abundance of different host species also showed significant difference (𝜒2=575.3, df=33, 𝑃<.001). Some species of small mammals were infested with a great number of gamasid mite indivuduals (high individual abundance) but lacked rich mite species (low species richness). Other hosts, however, harbored large numbers of gamasid mite species (high species richness), but had low overall numbers of mites (low individual abundance). For example, 50 species of gamasid mites (high mite species richness) were collected from a rodent host, Apodemus chevrieri, but infested individuals displayed low mite abundance (1.61 individual mites per host). The opposite situation, relatively low species richness of gamasid mites (16, 11, 29, 18, and 4 species of the mites, resp.) with high individual abundance of mites, happened in the following small mammal hosts: Dremomys pernyi, Niviventer excelsior, Niviventer fulvescens, Berylmys bowersi and Niviventer eha (Table 1).

Although some small mammals harbored large numbers of mite species, most individuals had one or more mite species as the dominant ectoparasitics. For example, Mus pahari is usually infested with Laelaps guizhouensis (80.92%), Laelaps paucisetosa (49.64%), and Laelaps xingyiensis (43.47%), while Mus caroli is usually infested with Laelaps algericus (52.13%) and the genus Eothenomys often harbors Laelaps chini (Table 3).

3.4. Distribution and Host Selection of Gamasid Mites

In this paper, only 30 dominant species of gamasid mites were chosen as target species and they accounted for 97.68% of the total mite species collected. The distribution and host selection of gamasid mites varied from species to species. Some gamasid mite species often parasitized one or two species of mammal hosts and examples include the following mite species: L. paucisetosa, L. xingyiensis, Dipolaelaps anourosorecis, and Laelaps liui. Other mite species, however, tended to select a wide range of hosts, and L. turkestanicus and L. nuttalli are examples (Table 2).

tab2
Table 2: Host ranges and niche breadth of 30 dominant gamasid mites species on 67 species of small mammal hosts.
tab3
Table 3: The mite infestation rates of small mammals with 30 dominant gamasid mite species.

In our study, we found that some species achieve maximum individual abundant on certain host species, that is L. liui (97.86% ) on the host Berylmys bowersi and L. algericus (97.10%) on the host Mus caroli, while L. guizhouensis, L. paucisetosa, and L. xingyiensis (97.92%, 98.48%, and 95.71%, resp. ) were found on the same host M. pahari (Table 4). The results suggest that the distribution of gamasid mite species among different host species is quite uneven. Although most of the gamasid mite species can parasitize many species of hosts, others have relatively fixed principal host specie.

tab4
Table 4: The distribution of 30 dominant species of gamasid mites on dominant small mammal hosts.
3.5. Niche Breadth of Gamasid Mites

In the measurement of ecological niche, the individual distribution proportion (ratio) of each mite species on 67 series of host resources was used to calculate the breadth of gamasid mites. Most gamasid mite species could be found on the body surface of several host species (more than two host species at least) and niche breadths ranged from 0.0154 to 0.1646. Of the 30 mite species studied, L. turkestanicus was found on 31 species of small mammal hosts displaying the widest host range while L. liui, found on only two species of hosts, had the narrowest host range. The niche breadth of H. pavlovskii was the highest (0.1646) followed by A. singularis (0.1566) and H. oliviformis (0.1475). L. paucisetosa showed the narrowest niche breadth (0.0154). Niche breadth for the genus Laelaps was much narrower than the genus Haemogamasus. Although L. turkestanicus had the widest host range (found on 31 species of hosts), its niche breadth was relatively low (0.0402). In contrast, the host range of A. singularis was relatively narrow (on 18 host species), but its niche breadth was relatively high (0.1566). The niche breadth of gamasid mites does not seem to match their respective host range (Table 2).

3.6. Niche Overlap of Gamasid Mites

Three species of gamasid mites (L. guizhouensis, L. paucisetosa, and L. xingyiensis) tended to choose the same mammal species (Mus pahari) as their principle host. Those three mite species showed niche values with a high degree of overlap (from 0.96 to 0.99). Comparison of gamasid mites species showed a relatively low niche value overlap (0.50). The higher overlapping values beyond 0.50 only happened in 8.28% of the mite species. Some niche overlaps were almost zero, which happened in D. anourosorecis, L. algericus, E. dremomydis, L. liui, and so forth (Table 5). A low niche overlap usually indicates that the compared species have formed a niche separation in host selection. The complicated niche overlaps among 30 of the gamasid mite species we studied were illustrated by hierachical clustering analysis. The 30 species of gamasid mites were classified into 15 niche overlapping groups when 𝜆=5.0 in the clustering dendrogram (Figure 2, Table 6). The gamasid mites within the same group tended to parasitize the same hosts (Table 6).

tab5
Table 5: Niche overlaps among 30 species of gamasid mites.
tab6
Table 6: Niche overlapping groups of gamasid mites.
934508.fig.002
Figure 2: The hierarchical cluster dendrogram of 30 mite species based on the Euclidean distance.

4. Discussion

4.1. Species of Ectoparasitic Gamasid Mites

Mite assemblages on small mammalian hosts are strongly influenced by the ecological habitat of their hosts [22]. Generally speaking, broad-ranging mammals should acquire more species of ectoparasites because a larger geographical range implies occupation of different habitats, a higher probability of contact with a larger number of other species, and this should lead to higher parasite species richness [23]. Additionally, from the parasite perspective, a large geographic range should indicate that a parasitic species has a larger number of possible hosts, increasing the likelihood that more parasites become established [24]. Yunnan Province is a big province with accompanying altitude gradients and topographical variation providing complicated ecological landscapes and habitats. Plant and animal resources are abundant in Yunnan Province, which is often described as “the kingdom of plants and animals” in China. Although the field investigation in this paper involved 28 counties in Yunnan Province, it is impossible to cover all the complicated situations in all areas and habitats. As a broad-ranging investigation, we have accumulatively captured 67 species and 14,544 individual small mammals. From those 67 mammal species, 80,791 individual gamasid mites belonging to 10 families, 33 genera, and 112 species were collected. These numbers imply a high species diversity of gamasid mites in Yunnan Province. Thirty of the 112 gamasid mite were determined as dominant species. When the investigation is further extended, the individuals of some rare hosts will increased and therefore some rare species of gamasid mites on them will be probably found. The major dominant species of gamasid mites, however, should be stable and unchangeable because of the big host samples (14 544 individual small mammals). The results imply that Yunnan Province of China is rich in species of gamasid mites with high species diversity and it is a valuable research place. The outdoor habitats provided richer species diversity of both small mammals and gamasid mites compared to the indoor habitats. The species diversity of ectoparasitic gamasid mites is prominently influenced by the species diversity of their small mammal hosts.

4.2. Ecological Niche and Host Specificity of Gamasid Mites

Small mammals are the food resource of ectoparasitic gamasid mites that consume the blood or body fluids from their hosts. The host range and Levins’ niche breadth should provide values opposite host specificity for ectoparasitic gamasid mites that use the hosts as their principle food resource [1113]. The host range is defined as the number of host species parasitized by a particular ectoparasic gamasid mite species. The host range could reflect the host specificity to some degree, but it only reflects the number of host species and does not consider the distribution of mite individuals among host species, which can cause some bias in the evaluation of specificity. In comparison with the host range, Levins’ niche breadth is much more accurate for evaluation of ectoparasitic host specificity [12, 13]. A higher niche breadth usually indicates a lower host specificity, and vice versa. Ectoparasitic gamasid mites with low host specificity will naturally increase the opportunity of transmitting zoonoses assuming that they frequently change feeding sites (new host).

4.3. Ecological Niche and Coevolution

Host specificity is the result of co-evolution between the parasite and their host and a high specificity often indicates a high degree of co-evolution. Therefore the niche breadth can also be used to demonstrate co-evolution between ectoparasites and their hosts [25]. A narrow niche breadth indicates a higher degree of co-evolution between the mite and their host, and vice versa. A few species of ectoparasitic gamasid mites have developed an adequate co-evolutionary relationship with their hosts because of the high host specificity. The specificity of most ectoparasitic gamasid mites, however, is relatively low and it suggests that the co-evolution between gamasid mites and their hosts has not well developed. Most gamsid mite species in genus Laelaps prefer to live on the body surface of the host while species in genus Haemogamasus tends to live in the host nests. The niche breadths of Laelaps were much narrower than those of Haemogamasus, suggesting a high degree of co-evolution between the host-living Laelaps compared with the nest dewlling Haemogamasus. Examples of nest dwelling mites in genus Haemogamasus are H. pavlovskii, H. oliviformis, and H. glasgowi, and they show broad niche breadths.

4.4. Niche Overlap and Host Selection

Niche overlap estimates can approximate the degree that certain species partition resources within a certain community. Niche overlap measures the degree to which two different species share a particular resource and it reflects, in the case of gamasid mites, on small mammal hosts similarities of host resource utilization between two mites species in a certain community. When the host species are regarded as the food resource, a high niche overlap between any two mite species means that these species tend to choose the same or similar small mammal species, especially their dominant hosts. In contrast, a low niche overlap between any two mite species usually indicates a low similarity in host selection. The results showed that L. guizhouensis, L. paucisetosa, and L. xingyiensis had a high niche overlap values that indicated similar host selection. The common dominant host of L. guizhouensis, L. paucisetosa, and L. xingyiensis was M. pahari. The 30 species of gamasid mites were classified into 15 niche overlapping groups using the value of 𝜆=5.0 in the clustering dendrogram. Gamasid mites within the same group tended to parasitize the same hosts, especially the dominant ones. Most species of gamasid mites, however, showed relatively low niche overlaps, and higher overlapping values (beyond 0.50) only happened in 8.28% of the mite species. Some niche overlaps were almost zero, as in D. anourosorecis, L. algericus, E. dremomydis, and L. liui. The results indicate that some species of gamasid mites have developed a mechanism of niche separation to avoid competition for the same host resources. Those gamasid mites tend to be parasitic on a distinct host species, leading to the niche separation. Niche separation is actually the process of natural selection, which drives competing species into using different hosts. High niche overlap often results from strong competition or repellency; yet the end result of niche separation can be an observed decrease in competition or avoidance. Some species with high overlap values should interact as competitors or intraguild predators, while other species with low pairwise overlap values are nonetheless vulnerable to the effects of diffuse competition [26]. In considering the relationship between niche overlap and competition, niche overlap should not be taken as a sufficient condition for competition. Many factors may prevent or diminish competition between populations with similar resource utilization patterns. The typically opposing forces of intraspecific and interspecific competition need to be simultaneously considered, for it is the balance between them that in large part determines niche boundaries [27]. But what drives species to overlap or partition? The mechanism remains to be further studied.

Acknowledgments

Special thanks to Dr. Brian Forschler for editing language. We are grateful to the following people for their help during the previous field investigation and laboratory work: Dong Wen-ge, Qian Ti-jun, Wang Qiao-hua, Li Wei, Men Xing-yuan, Zhang Sheng-yong, Meng Yan-fen, Ren Tian-guang, Jing Yong-guang, and some college students in Dali University. The authors thank Dong Wen-ge, Yan Yi, and Wang Qiao-Hua for their help in the mite identification. We also thank the CDCs (Center of Disease Prevention and Control) in the 28 investigated counties for their kind support, help, and contributions. The project was funded by the Natural Science Foundation of China (Grant no. 30760226).

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