| Literature DB >> 33665081 |
Yan Lv1,2, Xianguo Guo1,2, Daochao Jin2, Wenyu Song1, Peiying Peng1, Hao Lin1, Rong Fan1, Chengfu Zhao1, Zhiwei Zhang1, Keyu Mao1, Tijun Qian1, Wenge Dong1, Zhihua Yang1.
Abstract
Chigger mites are the common ectoparasites of rodents and the exclusive vector of scrub typhus. The Southeast Asian house rat (Rattus brunneusculus) is an important reservoir host and infectious source of some zoonoses including scrub typhus. From April 2016 to March 2017, a 12-month consecutive investigation was made at Jingha village in southern Yunnan of China, which is an important focus of scrub typhus. The infestation and seasonal fluctuation of chigger mites on R. brunneusculus were studied based on the investigation. From 2,053 captured R. brunneusculus, a total of 99,221 chiggers were collected and identified as comprising 102 species with very high species diversity. The richness (S), diversity index (H'), evenness (E) and dominance index (D) of the chigger community on the rat varied in different months. Of the 102 chigger species, five main species accounted for 84.81% of the total chiggers (84,147/99,221). The five main chiggers were Walchia (W.) micropelta (32.65%), Ascoschoengastia indica (24.68%), Leptotrombidium (L.) deliense (19.02%), W. (W.) turmalis (4.63%) and L. (L.) scutellare (3.83%). Of the five chigger species, L. (L.) deliense and L. (L.) scutellare are the most important vectors of scrub typhus in China. The five chigger species showed different patterns of seasonal fluctuation. The seasonal fluctuation of L. (L.) deliense belonged to summer-autumn type with the highest peak in July, but L.(L.) scutellare mainly appeared in winter and spring with the peak from January to February. The temperature and rainfall were two key factors which influenced the seasonal fluctuation of chigger mites.Entities:
Keywords: Ascoschoengastia indica; Leptotrombidium (L.) deliense; Leptotrombidium (L.) scutellare; Trombiculid mite; Walchia (W.) micropelta; Walchia (W.) turmalis
Year: 2021 PMID: 33665081 PMCID: PMC7898075 DOI: 10.1016/j.ijppaw.2021.02.005
Source DB: PubMed Journal: Int J Parasitol Parasites Wildl ISSN: 2213-2244 Impact factor: 2.674
Seasonal fluctuation of overall infestations of the Southeast Asian house rat (Rattus brunneusculus) with chiggers at Jingha village in southern Yunnan of China (2016–2017).
| Months | Examined small mammal hosts | Collected chiggers | Overall infestations of | ||||
|---|---|---|---|---|---|---|---|
| No. of hosts | No. of mites | ||||||
| 1 | 182 | 8.87 | 6682 | 6.73 | 86.81 | 36.71 | 42.29 |
| 2 | 167 | 8.13 | 7131 | 7.19 | 87.43 | 42.70 | 48.84 |
| 3 | 182 | 8.87 | 8097 | 8.16 | 89.56 | 44.49 | 49.67 |
| 4 | 168 | 8.18 | 7119 | 7.17 | 86.31 | 42.38 | 49.10 |
| 5 | 184 | 8.96 | 11221 | 11.31 | 86.96 | 60.98 | 70.13 |
| 6 | 150 | 7.31 | 7725 | 7.79 | 94.67 | 51.50 | 54.40 |
| 7 | 152 | 7.40 | 12224 | 12.32 | 94.74 | 80.42 | 84.89 |
| 8 | 151 | 7.36 | 9003 | 9.07 | 91.39 | 59.62 | 65.24 |
| 9 | 141 | 6.87 | 7616 | 7.68 | 92.91 | 54.01 | 58.14 |
| 10 | 190 | 9.25 | 9400 | 9.47 | 91.05 | 49.47 | 54.34 |
| 11 | 197 | 9.60 | 6996 | 7.05 | 86.29 | 35.51 | 41.15 |
| 12 | 189 | 9.21 | 6007 | 6.05 | 92.59 | 31.78 | 34.33 |
| Total | 2053 | 100.00 | 99221 | 100.00 | 89.87 | 48.33 | 53.78 |
Annotation: The field investigation at Jingha village was made between April 2016 and March 2017, which forms a consecutive process from January to December.
Fig. 1Seasonal fluctuation of overall infestations of the Southeast Asian house rat (R. brunneusculus) with chiggers at Jingha village in southern Yunnan of China (April 2016–March 2017).
Seasonal fluctuation of community parameters of chiggers on the Southeast Asian house rat (R. brunneusculus) at Jingha village in southern Yunnan of China (2016–2017).
| Years and months | Community structure of chiggers | ||||
|---|---|---|---|---|---|
| Years | Months | ||||
| 2017 | 1 | 31 | 1.898 | 0.553 | 0.229 |
| 2 | 42 | 1.991 | 0.533 | 0.257 | |
| 3 | 38 | 1.676 | 0.461 | 0.329 | |
| 2016 | 4 | 44 | 1.762 | 0.466 | 0.267 |
| 5 | 24 | 1.545 | 0.486 | 0.278 | |
| 6 | 25 | 1.398 | 0.434 | 0.318 | |
| 7 | 34 | 1.541 | 0.437 | 0.278 | |
| 8 | 25 | 1.554 | 0.483 | 0.345 | |
| 9 | 31 | 1.792 | 0.522 | 0.230 | |
| 10 | 30 | 1.621 | 0.477 | 0.262 | |
| 11 | 35 | 1.958 | 0.551 | 0.215 | |
| 12 | 40 | 2.210 | 0.599 | 0.149 | |
| Total | 102 | 2.080 | 0.450 | 0.208 | |
Annotation: Same as in Table 2.
Infestations of the Southeast Asian house rat (R. brunneusculus) with five main chigger species at Jingha village in southern Yunnan of China (2016–2017).
| Five main chigger species | Constituent ratios of chiggers | Infestations of | |||
|---|---|---|---|---|---|
| Individuals | |||||
| 32395 | 32.65 | 75.65 | 15.78 | 20.86 | |
| 24490 | 24.68 | 68.73 | 11.93 | 17.36 | |
| 18867 | 19.02 | 68.73 | 9.19 | 13.37 | |
| 4597 | 4.63 | 47.78 | 2.24 | 4.69 | |
| 3798 | 3.83 | 23.77 | 1.85 | 7.78 | |
| Total | 84147 | 84.81 | |||
Seasonal fluctuation of infestations of the Southeast Asian house rat (R. brunneusculus) with five main chigger species at Jingha village in southern Yunnan of China (2016–2017).
| Years | 2017 | 2016 | Total | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Months | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Examined hosts | 182 | 167 | 182 | 168 | 184 | 150 | 152 | 151 | 141 | 190 | 197 | 189 | 2053 | |
| mites | 2332 | 3337 | 4375 | 3101 | 4979 | 2314 | 3777 | 1408 | 1775 | 2239 | 1501 | 1257 | 32395 | |
| 7.20 | 10.30 | 13.51 | 9.57 | 15.37 | 7.14 | 11.66 | 4.35 | 5.48 | 6.91 | 4.63 | 3.88 | 100.00 | ||
| 77.47 | 77.84 | 78.02 | 79.76 | 73.91 | 78.00 | 84.21 | 75.50 | 81.56 | 74.74 | 65.99 | 65.61 | 75.65 | ||
| 12.81 | 19.98 | 24.04 | 18.46 | 27.06 | 15.43 | 24.85 | 9.32 | 12.59 | 11.78 | 7.62 | 6.65 | 15.78 | ||
| 16.54 | 25.67 | 30.81 | 23.14 | 36.61 | 19.78 | 29.51 | 12.35 | 15.43 | 15.77 | 11.55 | 10.14 | 20.86 | ||
| mites | 1860 | 486 | 1069 | 1698 | 2494 | 1268 | 2457 | 4956 | 2861 | 3324 | 1639 | 378 | 24490 | |
| 7.59 | 1.98 | 4.37 | 6.93 | 10.18 | 5.18 | 10.03 | 20.24 | 11.68 | 13.57 | 6.69 | 1.54 | 100.00 | ||
| 67.58 | 49.10 | 66.48 | 60.71 | 67.93 | 68.00 | 78.95 | 86.75 | 89.36 | 76.84 | 66.50 | 53.97 | 68.73 | ||
| 10.22 | 2.91 | 5.87 | 10.11 | 13.55 | 8.45 | 16.16 | 32.82 | 20.29 | 17.49 | 8.32 | 2.00 | 11.93 | ||
| 15.12 | 5.93 | 8.83 | 16.65 | 19.95 | 12.43 | 20.48 | 37.83 | 22.71 | 22.77 | 12.51 | 3.71 | 17.36 | ||
| mites | 183 | 11 | 303 | 719 | 1186 | 3445 | 4553 | 927 | 1136 | 2605 | 2315 | 1484 | 18867 | |
| 0.97 | 0.06 | 1.61 | 3.81 | 6.29 | 18.26 | 24.13 | 4.91 | 6.02 | 13.81 | 12.27 | 7.87 | 100.00 | ||
| 43.96 | 6.59 | 56.59 | 61.90 | 67.39 | 90.00 | 88.82 | 80.13 | 85.82 | 85.79 | 80.71 | 82.01 | 68.73 | ||
| 1.01 | 0.07 | 1.66 | 4.28 | 6.45 | 22.97 | 29.95 | 6.14 | 8.06 | 13.71 | 11.75 | 7.85 | 9.19 | ||
| 2.29 | 1.00 | 2.94 | 6.91 | 9.56 | 25.52 | 33.73 | 7.66 | 9.39 | 15.98 | 14.56 | 9.57 | 13.37 | ||
| mites | 118 | 165 | 293 | 626 | 1443 | 367 | 487 | 231 | 435 | 71 | 225 | 136 | 4597 | |
| 2.57 | 3.59 | 6.37 | 13.62 | 31.39 | 7.98 | 10.59 | 5.03 | 9.46 | 1.54 | 4.89 | 2.96 | 100.00 | ||
| 33.52 | 41.32 | 53.85 | 57.74 | 63.04 | 51.33 | 65.13 | 50.33 | 73.05 | 23.16 | 39.59 | 33.33 | 47.78 | ||
| 0.65 | 0.99 | 1.61 | 3.73 | 7.84 | 2.45 | 3.20 | 1.53 | 3.09 | 0.37 | 1.14 | 0.72 | 2.24 | ||
| 1.93 | 2.39 | 2.99 | 6.45 | 12.44 | 4.77 | 4.92 | 3.04 | 4.22 | 1.61 | 2.88 | 2.16 | 4.69 | ||
| mites | 1060 | 1051 | 956 | 10 | 1 | 0 | 1 | 0 | 30 | 0 | 0 | 689 | 3798 | |
| 27.91 | 27.67 | 25.17 | 0.26 | 0.03 | 0.00 | 0.03 | 0.00 | 0.79 | 0.00 | 0.00 | 18.14 | 100.00 | ||
| 66.48 | 61.68 | 67.58 | 2.38 | 0.54 | 0.00 | 0.66 | 0.00 | 16.31 | 0.00 | 0.00 | 59.26 | 23.77 | ||
| 5.82 | 6.29 | 5.25 | 0.06 | 0.01 | 0.00 | 0.01 | 0.00 | 0.21 | 0.00 | 0.00 | 3.65 | 1.85 | ||
| 8.76 | 10.20 | 7.77 | 2.50 | 1.00 | – | 1.00 | – | 1.30 | – | – | 6.15 | 7.78 | ||
Fig. 2Seasonal fluctuation of infestations of the Southeast Asian house rat (R. brunneusculus) with Walchia (W.) micropelta at Jingha, southern Yunnan of China (April 2016–March 2017).
Fig. 3Seasonal fluctuation of infestations of the Southeast Asian house rat (R. brunneusculus) with Ascoschoengastia indica at Jingha, southern Yunnan of China (April 2016–March 2017).
Fig. 4Seasonal fluctuation of infestations of the Southeast Asian house rat (R. brunneusculus) with Leptotrombidium (L.) deliense at Jingha, southern Yunnan of China (April 2016–March 2017).
Fig. 5Seasonal fluctuation of infestations of the Southeast Asian house rat (R. brunneusculus) with Walchia (W.) turmalis at Jingha, southern Yunnan of China (April 2016–March 2017).
Fig. 6Seasonal fluctuation of infestations of the Southeast Asian house rat (R. brunneusculus) with Leptotrombidium (L.) scutellare at Jingha, southern Yunnan of China (April 2016–March 2017).
Pearson's linear correlation analysis between infestations of R. brunneusculus with five main chigger species and climatic factors (temperature, humidity and rainfall) in 12 months at Jingha village in southern Yunnan of China (April 2016–March 2017).
| species | Infestation index | Coefficient of Pearson's correlation: | ||
|---|---|---|---|---|
| Total rainfall (mm) | Average temperature (°C) | Average humidity (%) | ||
| −0.002 (0.995) | 0.354 (0.258) | −0.594* (0.042) | ||
| 0.373 (0.233) | 0.502 (0.096) | −0.201 (0.530) | ||
| 0.101 (0.754) | 0.442 (0.151) | −0.541 (0.069) | ||
| 0.062 (0.847) | 0.417 (0.177) | −0.559 (0.059) | ||
| 0.802** (0.002) | 0.503 (0.096) | 0.309 (0.329) | ||
| 0.776** (0.003) | 0.490 (0.105) | 0.432 (0.161) | ||
| 0.815** (0.001) | 0.528 (0.078) | 0.315 (0.319) | ||
| 0.812** (0.001) | 0.579* (0.049) | 0.250 (0.432) | ||
| 0.519 (0.084) | 0.267 (0.402) | 0.512 (0.089) | ||
| 0.508 (0.092) | 0.400 (0.198) | 0.475 (0.118) | ||
| 0.562 (0.057) | 0.318 (0.314) | 0.492 (0.104) | ||
| 0.557 (0.060) | 0.339 (0.281) | 0.467 (0.126) | ||
| 0.194 (0.546) | 0.611* (0.035) | −0.327 (0.299) | ||
| 0.285 (0.370) | 0.691* (0.013) | −0.253 (0.428) | ||
| 0.246 (0.441) | 0.669* (0.017) | −0.301 (0.342) | ||
| 0.207 (0.519) | 0.640* (0.025) | −0.324 (0.305) | ||
| −0.563 (0.057) | −0.733** (0.007) | −0.223 (0.487) | ||
| −0.596* (0.041) | −0.734** (0.007) | −0.195 (0.543) | ||
| −0.562 (0.057) | −0.725** (0.008) | −0.231 (0.470) | ||
| −0.646 (0.084) | −0.804* (0.016) | −0.117 (0.783) | ||
Annotation: The figures in the Table represent the coefficients of Pearson's correlation (r), and the figures in the brackets stand for the probability of significance (P). *The correlation coefficients are of significance at 0.05 level (double tails). **The correlation coefficients are of significance at 0.01 level (double tails).