Front. Vet. Sci.Frontiers in Veterinary ScienceFront. Vet. Sci.2297-1769Frontiers Media S.A.10.3389/fvets.2025.1637410Veterinary ScienceOriginal ResearchSeasonal dynamics and niches of three vector chigger species at a focus of scrub typhus in southwest ChinaLvYan†YinPeng-Wu†GuoXian-Guo*FanRongZhaoCheng-FuZhangZhi-WeiZhaoYa-FeiZhangLeiYunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Institute of Pathogens and Vectors, Dali University, Dali, Yunnan, China
Edited by: Debaprasad Parai, Regional Medical Research Center (ICMR), India
Reviewed by: Rajni Kant, Indian Council of Medical Research (ICMR), India
K. Vinod Kumar, National Institute of Veterinary Epidemiology and Disease Informatics (ICAR), India
*Correspondence: Xian-Guo Guo, xgguo2002@163.com
†These authors have contributed equally to this work
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Objective
The present study aims to investigate the seasonal dynamics of main vectors of scrub typhus, and thereby provide scientific information for the surveillance and control of the disease.
Methods
A field investigation lasting for 12 consecutive months was conducted at a fixed survey site (Waxi Village) in Binchuan County (a focus of scrub typhus), Yunnan Province of southwest China between 2019 and 2020. Based on the taxonomic identification of all collected chigger mites, the three vector chigger species of scrub typhus (Leptotrombidium deliense, L. scutellare and L. imphalum) were screened out as the object of this study. The constituent ratio (Cr), prevalence (PM), mean abundance (MA), and mean intensity (MI) were calculated to reflect the mite infestation status. The Levins’ niche breadth (Bi) and Pianka’s proportional similarity ratio (Oij) were used to calculate the ecological niche breadth and niche overlap of chiggers on different host species and temporal series.
Results
These three vector chigger species were the dominant mites at the survey site, accounting for 60.72% of the total 115 chigger species (Cr=60.72%, 132,160/217,671). In seasonal fluctuations, L. deliense showed two peaks in summer and autumn, and the highest peak was in August of summer with highest infestation indexes (Cr=44.29%, MA=322.48, MI=422.56) on the hosts. Leptotrombidium imphalum mainly appeared in summer and autumn, and peaked in September (Cr, MA and MI) and October (PM) of early autumn. Leptotrombidium scutellare mainly appeared in November, December and January, and peaked in November of late autumn (Cr=66.09%) and December of early winter (Cr=33.83%). Leptotrombidium deliense had the widest temporal niche (Bi=0.248) and L. scutellare had the widest host niche (Bi=0.268). Leptotrombidium deliense and L. imphalum had the highest temporal niche overlap (Oij=0.715) and host niche overlap (Oij=0.986). The monthly average temperature significantly affected the seasonal fluctuation of L. scutellare.
Conclusion
The three vector chigger species can parasitize a wide range of hosts with low host specificity, and their coexistence as the dominant mites at the survey site increases the potential risk of transmission and focus persistence of relevant mite-borne zoonoses. Leptotrombidium deliense and L. imphalum have similar seasonal distribution patterns (summer-autumn type) and host selection, and L. scutellare has a different type of seasonal fluctuation, autumn-winter type. The temporal and host niches of L. scutellare are very different from those of L. deliense and L. imphalum. The temperature is the most important climate factor that drives the seasonal dynamics of vector chiggers.
chigger mitevector of scrub typhusseasonal fluctuationhost selectionLeptotrombidium delienseLeptotrombidium scutellareLeptotrombidium imphalumsection-at-acceptanceParasitologyIntroduction
Chiggers (chigger mites) usually refer to the larval stage of trombiculid mites. The life cycle of trombiculid mites is complex with several stages and only the larval stage (chigger) is the ectoparasite of other animals. Rodents and other small mammals are the most common hosts of chiggers (1, 2). To date, there have been more than 3,000 chigger species recorded globally, and over 500 species documented in China (3, 4). Chiggers are the exclusive vector of Orientia tsutsugamushi (Ot), the causative agent of scrub typhus (tsutsugamushi disease). Besides, some chiggers (e. g. L. scutellare) can serve as the potential vector of Hantavirus (HV), the pathogen of hemorrhagic fever with renal syndrome (HFRS) (5, 6). Both scrub typhus and HFRS are zoonotic diseases (zoonoses), which can be transmitted among wild animals (especially rodents) and even from wild animals to human beings through the biting activity of chigger mites (7–9). Nowadays, scrub typhus has become a serious public health problem with more than one million cases reported globally each year (10). In China, the epidemic foci of scrub typhus have expanded from 26 counties (or districts) in 16 provincial regions in 2006 to 1,150 counties (or districts) in 29 provincial regions in 2023, with the number of reported cases rising by 25.80 times over the 18-year period (11). Yunnan Province of southwest China is a main focus of scrub typhus. Of 283,273 cases of scrub typhus reported in China between 2006 and 2023, 29.93% (84,795 cases) were from Yunnan, which ranked first among all provincial regions in the country (11). Binchuan County of Dali Prefecture, the survey site of the present study, is an important focus of scrub typhus in Yunnan, and an outbreak of scrub typhus was once reported in the county (12).
Recent studies have shown that the species composition of chigger mites is complex in Yunnan, with coexistence of multiple vector species such as L. deliense, L. scutellare, L. sialkotense and L. imphalum (13–15). There are often seasonal fluctuations in the population of chigger mites, which in turn affects seasonal changes in the incidence of scrub typhus (16–18). Based on a consecutive 12-month investigation and taxonomic identification of chiggers at a fixed survey site, Waxi Village of Bingchuan County, Dali Prefecture of Yunnan Province where both scrub typhus and HFRS are prevalent with high incidence of the diseases (11, 19, 20), this paper reported the seasonal fluctuations and ecological niches (temporal niche and host niche) of three vector chigger species, L. deliense, L. scutellare and L. imphalum. Of the three vector chigger species, L. deliense and L. scutellare are the two most important vectors of scrub typhus in China (5, 8, 17), and L. scutellare is also a potential vector of HFRS (5, 6). Leptotrombidium imphalum has been confirmed as one of the vectors of scrub typhus in Thailand (21, 22), and it is an important potential vector of the disease in China (23, 24). The present study is an attempt to enrich the knowledge about the related vector chigger species and provide the scientific information for the surveillance and control of related mite-borne diseases.
Materials and methodsInvestigation, collection and identification of chigger mites
A consecutive 12-month investigation was carried out at Waxi Village, Binchuan County, Dali Prefecture, Yunnan Province of southwest China (25°43′ N, 100°24′ E) from November 2020 to October 2021 (Figure 1). In China, the four seasons of a year are divided as follows: March to May is spring, June to August is summer, September to November is autumn, and December to February is winter. The fixed survey site (Waxi village) is located in southern subtropical areas, with a typical subtropical monsoon climate (25). Each month at the fixed survey site, 150–200 mouse traps (18 × 12 × 9 cm, Guixi Mousetrap Apparatus Factory, Guixi, Jiangxi, China) were placed to capture rodents and other sympatric small mammals (hosts) in the late afternoon or evening. Considering the varying host densities in different months, the field investigation for each month lasted for 7–10 days and the number of mouse traps were adjusted accordingly to ensure a sufficient number of host samples (at least 100 hosts per month). The captured hosts were collected with white cloth bags in the following morning, and then were transported to the temporary field laboratory for the collection of chiggers. Each animal host was routinely anesthetized with ether and placed in a large white square plate to collect chiggers on the body surface of each host, especially the auricle, the opening of external auditory canal, groin, perianal area, and other thin tender skin areas where chiggers are often attached. The collected chiggers were preserved in 70% or 75% ethanol for fixation (13, 26).
Map of China and Yunnan Province showing the location of the fixed survey site (Waxi Village) in Binchuan County, Dali Prefecture, Yunnan Province of southwest China (2020–2021).
Map showing China with Yunnan province highlighted in pink on the left. On the right, a detailed topographic map of Yunnan indicates altitude gradients and marks the location of Waxi Village with a red star.
Chiggers have to be identified under a microscope because of their minute structure and abundant species, which is a big challenge. In the laboratory, the collected chiggers were mounted onto glass slides with Hoyer’s medium (Hoyer’s solution). After the process of dehydration, transparency and drying, each mounted chigger specimen was carefully observed and relevant morphological structures were measured under the higher power lens and oil lens of a microscope (Olympus Corporation, Tokyo, Japan). Under the microscope, all chigger specimens were identified to species one by one with the help of relevant taxonomic books, literature and taxonomic keys (1, 27, 28). After all chigger specimens were accurately identified, three vector chigger species (L. deliense, L. scutellare and L. imphalum) were screened out as the object of the present study. The capture and use of animals were approved by the local wildlife affairs authority and the Ethics Committee of Dali University.
Chigger infestation statistics
The constituent ratio (Cr) was used for calculating the percentage of chiggers and its associated host species. The infestation prevalence (PM) was calculated for the percentage of infested hosts with chiggers, and the mean abundance (MA) and mean intensity (MI) were used for the average number of chiggers per examined host and the average number of chiggers per infested host, respectively (26). Pearson correlation coefficient (r) was used to analyze the relationships between the monthly infestation indexes (Cr, PM, MA and MI) of vector chigger species and climatic factors (temperature, rainfall and humidity), and between the monthly infestation indexes and monthly human cases of scrub typhus.
Ecological niche analysis
Levins’ niche breadth (Bi) and Pianka’s proportional similarity ratio (Oij) were used to calculate the ecological niche breadth and niche overlap of chiggers on different host species and temporal series (13, 29, 30).Bi=1S∑h=1SPih2Oij=∑h=1SPihPjh∑h=1SPih2∑h=1SPjh2
In the above formulae, Bi represents the niche breadth of a certain chigger species (species i), and Oij stands for the niche overlap index between any two chigger species, species i and j. The Pih and Pjh stand for the proportion (constituent ratio, Cr) of chigger species i or j on different host species (host series) or temporal series (time series), and S is the number of resource series (host series and time series). The values of Oij range from 0 to 1 [0, 1]. When the two chigger species have no resource (host resource or time resource) to share, their Oij is equal to 0 (a minimum value), and when they share all the available resources, their Oij reaches a maximum value of 1.
Source of relevant data
In the present study, the survey site (Waxi Village of Binchuan County) is located within the territory of Dali Prefecture in Yunnan Province of southwest China. In the analysis of correlation between the monthly chigger infestation and climatic factors, the meteorological data for the survey site were obtained from the website1 and the National Qinghai Tibet Plateau/Three Pole Environmental Data Center (https://data.tpdc.ac.cn) (31). As there were no monthly cases of scrub typhus available for the survey site (Waxi Village) and its affiliated county (Binchuan County), the monthly cases of the disease in Dali Prefecture and Yunnan Province from 2006 to 2022 were instead used to analyze the correlation between the monthly chigger infestation indexes and cases of scrub typhus (19). These monthly cases of scrub typhus were sourced from the published data by Li et al. (19) in 2024.
ResultsIdentification of chiggers and their small mammal hosts
A consecutive 12-month investigation was conducted at the fixed survey site (Waxi Village) between 2020 and 2021 (Figure 1). A total of 1,329 small mammal hosts captured were identified as three orders, five families, 12 genera and 18 species. Among the 18 host species (1,329 individuals), there were 11 species (1,191 individuals) of rodents belonging to one family (Muridae) and five genera in the order Rodentia (Table 1). Rodents (Rodentia) accounted for 61.11% of the total host species (Cr = 61.11%, 11/18) and 89.62% of the total host individuals (Cr = 89.62%, 1,191/1,329). A total of 217,671 chiggers collected from the body surface of 1,329 hosts were identified as one family (Trombiculidae), 13 genera and 115 species. The 217,671 identified chiggers did not include 5,454 unidentified chigger specimens. These 5,454 unidentified chigger specimens were not identified to species level because of structural damage, dirt coverage, ambiguous structure, or suspicion of new species.
Taxonomic identification of rodents and other sympatric small animals (hosts of chiggers) at Waxi Village of Binchuan County, Dali Prefecture, Yunnan Province of southwest China (2020–2021).
Orders
Families
Numbers and constituent ratios of Genera
Numbers and constituent ratios of species
Numbers and constituent ratios of individuals
No.
Cr, %
No.
Cr, %
No.
Cr, %
Rodentia
Muridae
5
41.67
11
61.11
1,191
89.62
Cricetidae
1
8.33
1
5.56
27
2.03
Sciuridae
3
25.00
3
16.67
45
3.39
Eulipotyphla
Soricidae
2
16.67
2
11.11
4
0.30
Scandentia
Tupaiidae
1
8.33
1
5.56
62
4.67
Total
5 families
12
100.00
18
100.00
1,329
100.00
Distribution of three vector chigger species on different hosts
Of the 217,671 chiggers (115 species) identified, 83,008 L. deliense, 24,839 L. scutellare and 24,313 L. imphalum were screened out, and the number of these three vector chigger species (132,160) accounted for 60.72% of the total chigger mites (Cr = 60.72%, 132,160/217,671). The hosts of the three vector chigger species crossed different orders, families, genera and species of small mammals, and rodents (the order Rodentia) were the main hosts of the chiggers with the majority of the chiggers identified from different taxonomic levels of rodents (Figure 2). For example, 83,008 L. deliense mites were identified from 11 species (1,016 individuals) of hosts, 71.94% of L. deliense (Cr = 71.94%, 59,716/83,008) were found on the rat Rattus andamanensis (Figure 2A). The 24,839 L. scutellare mites came from 14 species (1,132 individuals) of hosts, and three species of small mammals were the main hosts of L. scutellare with 28.47% of L. scutellare mites (Cr = 28.47%, 7,071/24,839) found on the tree shrew (Tupaia belangeri), 22.91% of the mites (Cr = 22.91%, 5,690/24,839) on the mouse Apodemus peninsulae, and 21.42% of the mites (Cr = 21.42%, 5,320/24,839) on the rat R. andamanensis (Figure 2B). The hosts of 24,313 L. imphalum involved 10 species (1,154 individuals) of small mammals, and 83.34% of L. imphalum (Cr = 83.34%, 20,263/24,313) were found on R. andamanensis (Figure 2C).
Visualization of constituent ratios (Cr) of three vector chigger species (L. delicense, L. scutellare and L. imphalum) among different orders, families, genera and species of small mammal hosts at Waxi Village of Binchuan County, Dali Prefecture, Yunnan Province of southwest China (2020–2021). The shade width indicates the constituent ratio of the corresponding chigger species on a certain order, family, genus or species of small mammal hosts. The adjacent shades originate from a certain host taxon, an order, family or genus.
Sankey diagrams illustrating constituent ratios of L. deliense, L. scutellare, and L. imphalum among different orders, families, genera, and species of small mammal hosts. Each diagram shows the flow proportions from host orders like Scandentia and Rodentia to families such as Tupaiidae and Muridae, and further to genera and species, highlighting species like Rattus and Apodemus. Specific constituent ratios are provided, such as R. andamanensis at 71.94% in L. deliense.Seasonal fluctuations of three vector chigger species
Based on the monthly investigations conducted at the fixed survey site (Waxi Village) from November 2020 to October 2021, the seasonal fluctuations of three vector chigger species (L. deliense, L. scutellare and L. imphalum) were analyzed. Different chigger species had different patterns of seasonal fluctuations. Leptotrombidium deliense showed two peaks for its monthly fluctuation, and the highest peak (the first peak) was in August of summer with highest constituent ratio (Cr = 44.29%), infestation mean abundance (MA = 322.48 mites/examined host) and mean intensity (MI = 422.56 mites/infested host) on its small mammal hosts. The second peak of L. deliense occurred in October of autumn (Cr = 30.42%, MA = 247.54 and MI = 265.78) with a sharp decline in November, and no L. deliense was found in December of winter (Table 2, Figure 3). In four seasons of a year, L. deliense also showed two peaks for its seasonal fluctuation with the first peak in summer (June, July and August, Cr = 47.89%) and the second peak in autumn (September, October and November, Cr = 52.11%) (Table 2, Figure 4A).
Monthly fluctuations of three vector chigger species (L. deliense, L. scutellare and L. imphalum) at Waxi Village of Binchuan County, Dali Prefecture, Yunnan Province of southwest China (2020–2021).
Examined hosts
Jan.
Feb.
Mar.
Apr.
May
Jun.
Jul.
Aug.
Sep.
Oct.
Nov.
Dec.
110
118
123
104
104
108
109
114
110
102
114
113
L. deliense
Individuals
0
0
0
0
0
0
2,988
36,763
17,848
25,249
160
0
Cr (%)
0.00
0.00
0.00
0.00
0.00
0.00
3.60
44.29
21.50
30.42
0.19
0.00
PM
0.00
0.00
0.00
0.00
0.00
0.00
49.54
76.32
45.45
93.14
23.68
0.00
MA
0.00
0.00
0.00
0.00
0.00
0.00
27.41
322.48
162.25
247.54
1.40
0.00
MI
55.33
422.56
356.96
265.78
5.93
L. scutellare
Individuals
3,490
2
21
0
0
0
0
0
4
0
16,412
4,910
Cr (%)
14.05
0.01
0.08
0.00
0.00
0.00
0.00
0.00
0.02
0.00
66.07
19.77
PM
55.45
1.69
4.07
0.00
0.00
0.00
0.00
0.00
0.91
0.00
81.58
30.97
MA
31.73
0.02
0.17
0.00
0.00
0.00
0.00
0.00
0.04
0.00
143.96
43.45
MI
57.21
1.00
4.20
4.00
176.47
140.29
L. imphalum
Individuals
0
0
0
0
0
0
109
2,396
12,737
9,004
67
0
Cr (%)
0.00
0.00
0.00
0.00
0.00
0.00
0.45
9.85
52.39
37.03
0.28
0.00
PM
0.00
0.00
0.00
0.00
0.00
0.00
12.84
30.70
40.91
65.69
12.28
0.00
MA
0.00
0.00
0.00
0.00
0.00
0.00
1.00
21.02
115.79
88.27
0.59
0.00
MI
7.79
68.46
283.04
134.39
4.79
Monthly fluctuations of constituent ratios (Cr), prevalence (PM), mean abundance (MA) and mean intensity (MI) of three vector chigger species (L. deliense, L. scutellare and L. imphalum) at Waxi Village of Binchuan County, Dali Prefecture, Yunnan Province of southwest China (2020–2021). (A) Monthly fluctuation of constituent ratios (Cr) of chiggers; (B) Monthly fluctuation of prevalence (PM) of chiggers; (C) Monthly fluctuation of mean abundance (MA) of chiggers; (D) Monthly fluctuation of mean intensity (MI) of chiggers.
Four line graphs labeled A to D illustrate various metrics related to three species: *L. deliense*, *L. scutellare*, and *L. imphalum*. Graph A shows the constituent ratio (%) over months, graph B depicts prevalence (%), graph C represents mean abundance, and graph D indicates mean intensity. The data demonstrate distinct peaks for each species, with significant increases mostly around September to November, particularly for *L. deliense* and *L. imphalum*. Each species is represented by a different line style and color: red solid, green dashed, and blue dotted.
Seasonal fluctuations of constituent ratios (Cr), prevalence (PM), mean abundance (MA) and mean intensity (MI) of three vector chigger species (L. deliense, L. scutellare and L. imphalum) at Waxi Village of Binchuan County, Dali Prefecture, Yunnan Province of southwest China (2020–2021). (A) Seasonal fluctuation of L. deliense; (B) Seasonal fluctuation of L. scutellare; (C) Seasonal fluctuation of L. imphalum.
Bar graphs showing seasonal data for three species: L. deliense, L. scutellare, and L. imphalum. Each graph displays constituent ratio, prevalence, mean abundance, and mean intensity for spring, summer, autumn, and winter. Data is represented using colored bars and corresponding tables, highlighting variations across seasons.
Leptotrombidium scutellare mainly appeared in November, December and January, with the highest constituent ratio (Cr = 66.07%) and infestation indexes (PM = 81.58%, MA = 143.96 and MI = 176.47) in November for its monthly fluctuation. Except for November, December and January, there were very few or no L. scutellare in the remaining 9 months (Table 2, Figure 3). In four seasons of a year, L. scutellare peaked in late autumn (November, Cr = 66.09%) and early winter (December, Cr = 33.83%) for its seasonal fluctuation (Table 2, Figure 4B).
Leptotrombidium imphalum peaked in September (Cr = 52.39%, MA = 115.79 and MI = 283.04) and October (PM = 65.69%) for its monthly fluctuation (Table 2, Figure 3). In four seasons of a year, L. imphalum mainly appeared in summer (Cr = 10.30%) and autumn (Cr = 89.70%), and peaked in early autumn (Table 2, Figure 4C).
Relationship between chigger seasonal fluctuations and climate factors
Pearson correlation analysis was used to analyze the relationship between the infestation indexes (Cr, PM, MA and MI) of three vector chigger species (L. deliense, L. scutellare and L. imphalum) on their small mammal hosts and three climate factors, the monthly average temperature, monthly total rainfall and monthly average humidity. The result showed that a positive correlation existed between the monthly average humidity and the infestation indexes (Cr, PM, MA and MI) of L. deliense and L. imphalum, indicating that the higher the humidity, the higher the infestation indexes of L. deliense and L. imphalum (r: 0.727–0.807, p < 0.05 for L. deliense; r: 0.600–0.726, p < 0.05 for L. imphalum) (Table 3). The variation tendency of monthly average humidity was consistent with the monthly fluctuation of L. deliense and L. imphalum (Figures 5A–D). A negative correlation existed between monthly average temperature and infestation indexes (PM and MI) of L. scutellare (r = −0.666, p = 0.018 < 0.05 for PM; r = −0.657, p = 0.020 < 0.05 for MI), indicating that the higher the temperature, the lower the PM and MI of L. scutellare (Table 3). The variation tendency of monthly average temperature was opposite to the monthly fluctuation of L. scutellare (Figures 5E,F). The correlation coefficients (r) between the monthly total rainfall and the infestation indexes of three chigger species, however, were of no statistical significance (p > 0.05).
Pearson correlation analysis for the relationship between infestation indexes of three vector chigger species and climatic factors (monthly average temperature, monthly total rainfall and monthly average humidity) at Waxi Village of Binchuan County, Dali Prefecture, Yunnan Province of southwest China (2020–2021).
Chigger species
Infestation indexes
Pearson correlation coefficients, r (p-values)
Average temperature (°C)
Total rainfall (mm)
Average humidity (%)
L. deliense
Constituent ratio (Cr)
0.378 (0.225)
0.522 (0.081)
0.727 **(0.007)
Prevalence (PM)
0.393 (0.206)
0.517 (0.085)
0.807** (0.002)
Mean abundance (MA)
0.372 (0.233)
0.508 (0.092)
0.727 **(0.007)
Mean intensity (MI)
0.418 (0.177)
0.540 (0.070)
0.774** (0.003)
L. scutellare
Constituent ratio (Cr)
−0.490 (0.106)
−0.417 (0.178)
0.044 (0.893)
Prevalence (PM)
−0.666* (0.018)
−0.485 (0.110)
−0.031 (0.924)
Mean abundance (MA)
−0.494 (0.103)
−0.418 (0.176)
−0.043 (0.895)
Mean intensity (MI)
−0.657* (0.020)
−0.492 (0.104)
−0.023 (0.944)
L. imphalum
Constituent ratio (Cr)
0.278 (0.382)
0.242 (0.449)
0.604 *(0.038)
Prevalence (PM)
0.300 (0.343)
0.335 (0.287)
0.726**(0.007)
Mean abundance (MA)
0.271 (0.394)
0.233 (0.465)
0.600* (0.039)
Mean intensity (MI)
0.311 (0.325)
0.293 (0.355)
0.627* (0.029)
*The correlation coefficients are of statistical significance at 0.05 level (double tails), and **the correlation coefficients are of statistical significance at 0.01 level (double tails).
Monthly fluctuations of infestation indexes of three vector chigger species and climate factors at Waxi Village of Binchuan County, Dali Prefecture, Yunnan Province of southwest China (2020–2021). (A–D) Monthly fluctuations of infestation indexes (Cr, PM, MA and MI) of two vector chigger species (L. deliense and L. imphalum) and monthly average humidity; (E,F) Monthly fluctuations of infestation indexes (PM and MI) of another vector chigger species (L. scutellare) and monthly average temperature.
Charts A to D depict the relationship between monthly data for L. deliense and L. imphalum in terms of constituent ratio, prevalence, mean abundance, and mean intensity alongside average humidity. Chart E and F show the prevalence and mean intensity of L. scutellare against average temperature. Each chart illustrates seasonal trends across months.Niche breadths and niche overlaps of three vector chigger species
In the present study, the 12 months of a year were considered 12 temporal resource series, and each host species was regarded as a host resource series. Levins’ niche breadth (Bi) was used to calculate the temporal niche breadths and host niche breadths of three vector chigger species, L. deliense, L. scutellare and L. imphalum. The temporal niche breadths of the three chigger species were as follows: L. deliense (Bi = 0.248) > L. imphalum (Bi = 0.198) > L. scutellare (Bi = 0.168). Leptotrombidium deliense appeared for a longer period of time throughout the year, and it had the highest value of temporal niche breadth. The appearance of L. scutellare lasted for the shortest period of time in the year, and its temporal niche breadth was the lowest (Table 4). Leptotrombidium scutellare had a wide range of hosts (14 host species) and its host niche breadth was the highest (Bi = 0.268). The host ranges of L. deliense (11 host species) and L. imphalum (10 host species) were relatively low, and their host niche breadths (Bi = 0.099 for L. deliense; Bi = 0.079 for L. imphalum) were much lower than that of L. scutellare (Table 4).
Niche breadths of three vector chigger species (L. deliense, L. scutellare and L. imphalum) at Waxi Village of Binchuan County, Dali Prefecture, Yunnan Province of southwest China (2020–2021).
Chigger species
No. of chiggers
Temporal niche breadths
Host niche breadths
Time ranges (months)
Levins’ niche breadths (Bi)
Host ranges (species)
Levins’ niche breadths (Bi)
L. deliense
83,008
5
0.248
11
0.099
L. scutellare
24,839
6
0.168
14
0.268
L. imphalum
24,313
5
0.198
10
0.079
On the basis of niche breadths, Pianka’s proportional similarity (Oij) was calculated to compare the niche overlaps between every two chigger species. It was found that L. deliense and L. imphalum had the highest values of temporal and host niche overlaps, with Oij = 0.715 for temporal niche overlap and Oij = 0.986 for host niche overlap (Table 5). Based on the constituent ratios (Cr) of the three vector chigger species in different months and on different host species, a chord diagram was used to visualize the constituent ratio (Cr) distributions of three vector chigger species (L. deliense, L. scutellare and L. imphalum) in different months and on different host species, in which the shade width in each color patch (or band) stands for the constituent ratio (Cr) of corresponding chigger species (Figure 6). In the temporal distribution, L. deliense was mainly distributed in late summer (August) and early autumn (September and October), and L. imphalum mainly occurred in early autumn (September and October). Leptotrombidium scutellare was mainly distributed in late autumn (November) and early winter (December), which is very different from L. deliense and L. imphalum (Figure 6A). On the body surface of different host species, most L. deliense mites were found on the rat R. andamanensis, and the majority of L. imphalum also appeared on R. andamanensis. In contrast, L. scutellare scattered on a variety of small mammal hosts including the tree shrew T. belangeri, the mouse A. peninsulae and the rat R. andamanensis, which is very different from L. deliense and L. imphalum (Figure 2B).
Niche overlaps between every two of three vector chigger species (L. deliense, L. scutellare and L. imphalum) at Waxi Village of Binchuan County, Dali Prefecture, Yunnan Province of southwest China (2020–2021).
Chigger species
Host niche overlaps (Oij)
L. deliense
L. deliense
L. scutellare
L. imphalum
L. deliense
1
1
L. scutellare
0.003
0.569
1
L. imphalum
0.715
0.986
0.543
1
Chord diagrams for visualizing the constituent ratio (Cr) distributions of three vector chigger species (L. deliense, L. scutellare and L. imphalum) in different months and on different host species at Waxi Village of Binchuan County, Dali Prefecture, Yunnan Province of southwest China (2020–2021). (A) The constituent ratio (Cr) distributions of three vector chigger species (L. deliense, L. scutellare and L. imphalum) in different months of a year. (B) The constituent ratio (Cr) distributions of three vector chigger species (L. deliense, L. scutellare and L. imphalum) on the body surface of different host species, rodents and other sympatric small mammals. The shade width in each color patch (or band) stands for the constituent ratio (Cr) of corresponding chigger species.
Two colored circular diagrams illustrate the distribution patterns of species. Diagram A shows distribution over time, labeled by months, while Diagram B shows distribution among various host species. Connections of different colors link distinct segments, representing relationships between the elements over time and host specificity.Relationship between chigger infestation and scrub typhus
Based on the published human cases of scrub typhus in Dali Prefecture and Yunnan Province from 2006 to 2022 (19), Pearson correlation coefficient was used to analyze the relationship between the monthly infestation indexes (Cr, PM, MA and MI) of three vector chigger species on the hosts (rodents and other sympatric small mammals) and the monthly human cases of scrub typhus, and the correlation results were visualized by heat maps. The result showed that a positive correlation existed between the infestation indexes (Cr, PM, MA and MI) of two vector chigger species (L. deliense and L. imphalum) and the scrub typhus cases (p < 0.05), indicating that the higher the infestation indexes of the two vector chiggers, the higher the scrub typhus cases. A slight negative correlation existed between the monthly infestation indexes (Cr, PM, MA and MI) of L. scutellare and the scrub typhus cases, but the correlation coefficients (r: from −0.17 to −0.36) were of no statistical significance (p > 0.05) (Figure 7).
Heat map visualization for the relationships between the infestation indexes (Cr, PM, MA and MI) of three vector chigger species and the cases of scrub typhus in Dali Prefecture and Yunnan Province.
Heatmap displaying correlation coefficients between scrub typhus cases in Dali Prefecture and Yunnan Province with various parameters including different species (L. deliense, L. scutellare, L. imphalum) and indices (MI, MA, PM). Positive correlations range from strong (0.98) to weak (0.59), with significant P-values noted by asterisks. A color gradient from light pink to dark red represents the strength of the correlation.Discussion
Of the three vector chigger species studied in the present study, L. deliense is the most important vector of scrub typhus over the world and it is the main vector of the disease in tropical and subtropical regions (4, 30, 32). Leptotrombidium scutellare is also very important and it is a main vector of the disease in some temperate regions (33, 34). Although L. imphalum is not as important as L. deliense and L. scutellare in the transmission of scrub typhus, it is also an effective vector of the disease in some local regions (20, 23, 35, 36). In addition, L. scutellare is also a potential vector of HFRS (5, 6). The seasonal fluctuation of vector chiggers usually has a direct impact on the seasonal incidence of chigger-borne diseases like scrub typhus (18, 37, 38), and therefore it is of medical significance to study the seasonal dynamics of vector chiggers in the foci of scrub typhus. In the present study, the survey site (Waxi Village of Binchuan County) is a focus of scrub typhus and HFRS (11, 19, 20), and it is located within the territory of Dali Prefecture in Yunnan Province where both scrub typhus and HFRS are prevalent with high incidence of the diseases (19, 20). Although there were no monthly cases of scrub typhus available at the survey site, the monthly cases in Dali Prefecture and Yunnan Province were obtained instead. The result showed that a positive correlation existed between the monthly infestation indexes (Cr, PM, MA and MI) of two vector chigger species (L. deliense and L. imphalum) and the monthly human cases of scrub typhus in Dali Prefecture and Yunnan Province where the survey site is located (Figure 7). The positive correlation between the monthly infestations of vector chiggers and the monthly scrub typhus cases suggests that the seasonal fluctuation of vector chiggers may influence the seasonal incidence of scrub typhus (18, 37, 38).
As three dominant chigger species at the survey site, L. deliense, L. scutellare and L. imphalum can ectoparasitize a wide range of small mammal hosts, and L. scutellare had much wider host niche breadth than L. deliense and L. imphalum, indicating the low host specificity of vector chiggers (Table 4). The low host specificity of vector chiggers is conducive to their transmitting the pathogens of scrub typhus and HFRS among wild animals (especially rodents), and even from wild animals to humans (39–41). The coexistence of these three vector chigger species as the dominant mite species at the same survey site further increases the potential risk of the zoonosis transmission and focus persistence.
The distribution of chiggers and other ectoparasites is often influenced by a series of environmental factors, including different latitudes, longitudes, altitudes, and geographical landscapes (14, 27, 39). In order to eliminate the interference of these environmental factors, it is usually necessary to select a fixed survey site and conduct field investigations at different time period when studying the seasonal dynamics of chiggers and other ectoparasites (37, 42, 43). Therefore, the present study selected Waxi Village of Binchuan County, Dali Prefecture, Yunnan Province of southwest China as the fixed survey site for studying the seasonal dynamics of vector chiggers. Different species of chigger mites may have different types of seasonal fluctuations, and sometimes the same chigger species may also show different types of seasonal fluctuations in different geographical regions (1, 18, 44). The various seasonal fluctuation patterns of chigger mites can be summarized into several types such as summer type, summer–autumn type, autumn type, autumn–winter type, and winter type in China (1, 41, 42, 45). The results of the present study indicate that L. deliense and L. imphalum have similar seasonal fluctuation patterns, belonging to the “summer-autumn type.” The seasonal fluctuation pattern of L. scutellare, however, is obviously different from those of L. deliense and L. imphalum, and it belongs to the “autumn-winter type” (1, 41, 42, 45). Of the three vector chigger species, L. deliense and L. imphalum had the highest values of temporal and host niche overlaps (Table 5, Figure 6). The highest overlaps of temporal and host niches between L. deliense and L. imphalum indicates that these two chigger species have similar seasonal fluctuation patterns and similar tendency in host selection. Leptotrombidium scutellare, however, has different seasonal fluctuation pattern and host selection from L. deliense and L. imphalum.
A previous investigation at Jingha Village of southern Yunnan showed that L. deliense had two peaks in July of summer and October of autumn for its seasonal fluctuation with the highest peak in July. Although the seasonal fluctuation pattern of L. deliense at Jingha of southern Yunnan also belongs to “summer-autumn type,” its highest peak in July was 1 month earlier than that of the mite (August) at Waxi of Binchuan County in the present study (Table 2, Figure 3) (16). Leptotrombidium deliense tends to live in environments with high temperature and humidity (16, 32). In Yunnan Province of southwest China, the annual average temperature and relative humidity in the southern areas with low latitudes are usually higher than those in the northern regions with high latitudes, and the hottest season with high relative humidity in the south also comes earlier than that in the north. Waxi (25°43′ N) of Binchuan County in the present study is located at the northwest of Yunnan (Figure 1), and it is far away from Jingha (21°50′ N) at the southernmost tip of Yunnan, and this may explain why the highest peak of L. deliense at Jingha comes one month earlier than that of the mite at Waxi in the present study (16). Some investigations from other provinces of China and other countries (or regions) have shown that L. deliense may show different seasonal fluctuations in different countries and regions. In Guangzhou of southern China, L. deliense occurred throughout the year and maintained a high abundance level from May to November. In Fujian of southeastern China, L. deliense began to appear in small numbers in April, reached a peak from June to August, and then decreased after September, and it was almost invisible in winter (1). In Tamil Nadu of India, there was a high mean abundance of L. deliense from October to December, peaking in November (18). The infestation index of L. deliense was high from July to November and peaked in October in Gorakhpur district, Uttar Pradesh of India (46). Although L. deliense showed different seasonal fluctuations in different countries and regions, its peaks in summer or autumn are similar to the result of the present study. The results suggest that L. deliense tends to occur in large numbers during the hot and humid summer and autumn (1, 18, 46). To date, there have been no other reports on the seasonal fluctuation of L. imphalum, and the present study reported the seasonal dynamics of L. imphalum for the first time.
The variation tendency of monthly average humidity was consistent with the monthly fluctuation of L. deliense and L. imphalum, and a positive correlation existed between the humidity and infestation indexes of these two vector chigger species (p < 0.05). The results may reflect the impact of the monthly average humidity on the seasonal fluctuation of L. deliense and L. imphalum, and the humidity may be one of the important climatic factors affecting the seasonal dynamics of these two chigger species (1, 35). The negative correlation between the monthly average temperature and L. scutellare’s infestation indexes (p < 0.05) may reflect the impact of temperature on the seasonal fluctuation of L. scutellare (Table 3, Figure 5), indicating that L. scutellare prefers to select cold seasons with low temperature. In Fujian of southeastern China, L. scutellare began to appear in small numbers in October of autumn, reached a high abundance level from December of the previous year to February of the following year in winter, and decreased in April of spring, and it was not found after May (1). Leptotrombidium scutellare was a dominant species of chigger mites in Japan, and it occurred from October of the previous year to April of the following year and peaked in January of winter (47). The seasonal fluctuation pattern of L. scutellare in the present study (autumn-winter type) is consistent with the previous reports, and it suggests that L. scutellare tends to occur in large numbers during the cold and dry late autumn and winter (37, 42).
The Chinese Center for Disease Control and Prevention (CDC) had released a document titled “Technical Guidelines for the Prevention and Control of Scrub Typhus.” This document provided a series of suggestions and technical guidelines for the standardized diagnosis and treatment of scrub typhus, vector surveillance and control, as well as population protection (48, 49). In the actual campaign of surveillance and control, however, scrub typhus and its vector chiggers have long been neglected. Nowadays, as the epidemic areas of scrub typhus in China continue to expand, local authorities have realized the potential threat of scrub typhus and its vector chiggers to public health (11, 19, 50). The results of the present study will provide important scientific data and guidance for the future surveillance and control of scrub typhus and vector chiggers.
As mentioned above, a series of environmental factors can influence the distribution of chiggers and other ectoparasites (14, 27, 39). In order to eliminate the interference of non-seasonal factors and to objectively demonstrate the seasonal dynamics of chiggers and other ectoparasites, it is essential to fix a survey site to do a year-long field investigation (37, 42, 43). The result from a fixed survey site, however, can only represent the situation at that location and cannot reflect the varying conditions in other geographical locations beyond the survey site. To understand the seasonal dynamics of chiggers and other ectoparasites in different geographical areas, different fixed survey sites must be chosen for a year-long field investigation (e.g., a consecutive 12-month survey). Due to the lack of sufficient human resources and financial support, the present study only conducted a consecutive 12-month survey at one fixed survey site (Waxi), which cannot reflect the varying conditions in different geographical locations of Yunnan Province or southwest China. To explore the varying seasonal dynamics of chiggers in different geographical areas, a few fixed survey sites are recommended in future studies.
Conclusion
The three vector chigger species, L. deliense, L. scutellare and L. imphalum, can ectoparasitize a wide range of small mammal hosts with low host specificity, and rodents (Rodentia) are their main hosts. The coexistence of the three vector chigger species as the dominant mite species at the same survey site, together with their low host specificity, increases the potential risk of transmission and focus persistence of relevant mite-borne zoonoses. Leptotrombidium deliense and L. imphalum have similar seasonal distribution patterns (summer-autumn type) and host selection, and L. scutellare has a different type of seasonal fluctuation, autumn-winter type. The temporal and host niches of L. scutellare are very different from those of L. deliense and L. imphalum. The temperature and humidity may be important climate factors that affecting the seasonal dynamics of vector chiggers. The seasonal fluctuations of vector chigger populations are associated with the seasonal incidence of scrub typhus.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
Ethics statement
The animal study was approved by the Animals’ Ethics Committees of Dali University. The study was conducted in accordance with the local legislation and institutional requirements.
The author(s) declare that financial support was received for the research and/or publication of this article. The present study was supported by the National Natural Science Foundation of China (Nos. 81960380 and 82160400) and the Research and Development Fund of Dali University (Nos. KY2319101340 and KY2519103340) to X-GG, Science Foundation of Dali University (No. KYBS2023008), and Yunnan Fundamental Research Projects to YL (No. 202501AT070418).
We would like to express our sincere thanks to the following people who contributed to the field investigations: He Sha, Long Zhou, A-Si Di, Cheng-Wei He, Jian-Zhou Han, Ping Luo, Qiao-Hai Han, Jian-Zhu Chen, and Xin Zhao.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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