| Literature DB >> 31341522 |
Jin-Na Wang1, Juan Hou1, Yu-Yan Wu1, Song Guo1, Qin-Mei Liu1, Tian-Qi Li1, Zhen-Yu Gong1.
Abstract
OBJECTIVES: High dependency on pesticides could cause selection pressure leading to the development of resistance. This study was conducted to assess the resistance of the house fly, Musca domestica, to five insecticides, namely, permethrin, deltamethrin, beta-cypermethrin, propoxur, and dichlorvos, in Zhejiang Province.Entities:
Year: 2019 PMID: 31341522 PMCID: PMC6612408 DOI: 10.1155/2019/4851914
Source DB: PubMed Journal: Can J Infect Dis Med Microbiol ISSN: 1712-9532 Impact factor: 2.471
LD50 and the RR value of the five insecticides in the house flies in Zhejiang Province, China (LD50, μg/fly).
| City | Year | Dichlorvos | Propoxur | Permethrin | Deltamethrin | Beta-cypermethrin | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LD50 | 95% CI | RR | LD50 | 95% CI | RR | LD50 | 95% CI | RR | LD50 | 95% CI | RR | LD50 | 95% CI | RR | ||
| Susceptible strain | 2017 | 0.7781 | 0.7018–0.8626 | — | 0.1550 | 0.1395–0.1722 | — | 0.0108 | 0.0092–0.0127 | — | 0.0007 | 0.0006–0.0009 | — | 0.0090 | 0.0074–0.0109 | — |
| 2014 | 0.0453 | 0.0371–0.0577 | — | 0.2973 | 0.2493–0.3543 | — | 0.0108 | 0.0092–0.0127 | — | 0.0009 | 0.0008–0.0011 | — | 0.0036 | 0.0030–0.0043 | — | |
| 2011 | 0.0962 | 0.0851–0.1076 | — | 0.0458 | 0.0396–0.0524 | — | 0.0124 | 0.0109–0.0139 | — | 0.0019 | 0.0017–0.0023 | — | 0.0117 | 0.0103–0.0132 | — | |
| Hangzhou | 2017 | 1.0612 | 0.9162–1.2321 | 1.3638 | 8.8094 | 7.4675–10.3778 | 56.8348 | — | — | — | 0.0777 | 0.0667–0.0904 | 111.0000 | 0.1988 | 0.1725–0.2302 | 22.0889 |
| 2014 | 0.3290 | 0.2832–0.3830 | 7.2627 | >400.0000 | — | >1345.4423 | — | — | — | 0.0696 | 0.0605–0.0799 | 77.3333 | 0.2001 | 0.1741–0.2308 | 55.5833 | |
| 2011 | 1.4749 | 1.2368–1.7588 | 15.3316 | 0.2661 | 0.2303–0.3073 | 5.8100 | — | — | — | 0.1045 | 0.0776–0.1407 | 55.0000 | 0.9399 | 0.7312–1.2081 | 80.3333 | |
| Huzhou | 2017 | 40.4090 | 29.8130–62.1787 | 51.9329 | 23.8774 | 19.7867–29.2366 | 154.0477 | 0.0679 | 0.0517–0.0889 | 6.2870 | 0.1100 | 0.0781–0.1474 | 157.1429 | 0.3224 | 0.1954–0.4600 | 35.8222 |
| 2014 | 0.0053 | 0.0048–0.0060 | 0.1170 | 0.0281 | 0.0203–0.0409 | 0.0945 | 0.0028 | 0.0010–0.0045 | 0.2593 | 0.0021 | 0.0019–0.0024 | 2.3333 | 0.0100 | 0.0089–0.0011 | 2.7778 | |
| 2011 | 0.5096 | 0.4477–0.5802 | 5.2973 | 0.1763 | 0.1384–0.2245 | 3.8493 | 0.2001 | 0.1622–0.2468 | 16.1371 | 0.0105 | 0.0088–0.0127 | 5.5263 | 0.0156 | 0.0127–0.0193 | 1.3333 | |
| Jiaxing | 2017 | 0.4743 | 0.2437–1.2615 | 0.6096 | 0.5654 | 0.2113–3.3226 | 3.6477 | 0.0878 | 0.0451–0.2263 | 8.1296 | 0.0074 | 0.0045–0.0118 | 10.5714 | 0.0146 | 0.0082–0.0265 | 1.6222 |
| 2014 | 0.6746 | 0.3206–2.1420 | 14.8918 | 0.3563 | 0.1542–1.4583 | 1.1985 | 0.0433 | 0.0252–0.0894 | 4.0093 | 0.0052 | 0.0031–0.0074 | 5.7778 | 0.0082 | 0.0051–0.1450 | 2.2778 | |
| 2011 | 0.0232 | 0.1284–0.5067 | 0.2412 | 0.0232 | 0.0158–0.0354 | 0.5066 | — | — | — | 0.0105 | 0.0016–0.1038 | 5.5263 | 0.1036 | 0.0751–1.4900 | 8.8547 | |
| Jinhua | 2017 | 0.5934 | 0.4955–0.6966 | 0.7626 | 0.6838 | 0.5346–0.7499 | 4.4116 | 0.1199 | 0.0867–0.1294 | 11.1019 | 0.0204 | 0.0179–0.0255 | 29.1429 | 0.0691 | 0.0513–0.0750 | 7.6778 |
| 2014 | 0.5491 | 0.4637–0.6504 | 12.1214 | 0.4088 | 0.3342–0.4913 | 1.3750 | 0.0968 | 0.0684–0.1241 | 8.9630 | 0.0182 | 0.0154–0.0216 | 20.2222 | 0.0541 | 0.0442–0.0659 | 15.0278 | |
| 2011 | 1.0651 | 0.9050–1.2401 | 11.0717 | — | — | — | 0.1321 | 0.1082–0.1589 | 10.6532 | 0.0220 | 0.0190–0.0255 | 11.5789 | 0.0902 | 0.0758–0.1068 | 7.7094 | |
| Lishui | 2017 | — | — | — | >121.5000 | — | >783.8710 | 0.4106 | 0.3796–0.4462 | 38.0185 | 0.0288 | 0.0129–0.0654 | 41.1429 | 0.0030 | 0.0014–0.0066 | 0.3333 |
| Ningbo | 2014 | 0.0096 | 0.0026–0.0490 | 0.2119 | 0.0295 | 0.0115–0.0512 | 0.0992 | 0.0048 | 0.0012–0.0091 | 0.4444 | 0.0053 | 0.0015–0.1270 | 5.8889 | 0.0022 | 0.0003–0.0129 | 0.6111 |
| 2011 | 0.0056 | 0.0013–0.0280 | 0.0582 | 0.0115 | 0.0091–0.0270 | 0.2511 | 0.0012 | 0.0008–0.0010 | 0.0968 | 0.0054 | 0.0016–0.1271 | 2.8421 | 0.0022 | 0.0003–0.0129 | 0.1880 | |
| Quzhou | 2017 | 0.3161 | 0.2561–0.4002 | 0.4062 | — | — | — | 0.3130 | 0.2525–0.3847 | 28.9815 | 0.0491 | 0.0414–0.0586 | 70.1429 | 0.2190 | 0.1833–0.2706 | 24.3333 |
| Shaoxing | 2017 | 3.1175 | 2.8063–3.4663 | 4.0066 | — | — | — | 0.1805 | 0.1548–0.2090 | 16.7130 | 0.0646 | 0.0577–0.0727 | 92.2857 | 0.2314 | 0.1587–0.5060 | 25.7111 |
| 2014 | 0.7610 | 0.6116–0.8881 | 16.7991 | 1.0406 | 0.8586–2.4601 | 3.5002 | 0.2430 | 0.1993–0.2758 | 22.5000 | 0.0111 | 0.0015–0.0231 | 12.3333 | 0.1483 | 0.1038–0.2113 | 41.1944 | |
| 2011 | 1.1506 | 1.0305–1.2821 | 11.9605 | — | — | — | 0.2079 | 0.1793–0.2358 | 16.7661 | 0.0568 | 0.0493–0.0644 | 29.8947 | 0.4536 | 0.3958–0.5113 | 38.7692 | |
| Taizhou | 2017 | 0.2583 | 0.2282–0.2924 | 0.3320 | >110.0000 | — | >709.6774 | 0.1190 | 0.1042–0.1350 | 11.0185 | 0.0602 | 0.0526–0.0688 | 86.0000 | 0.5588 | 0.4740–0.6525 | 62.0889 |
| Wenzhou | 2017 | 9.6679 | 8.1328–11.5459 | 12.4250 | >48.0000 | — | >309.6774 | 0.4253 | 0.3488–0.5185 | 39.3796 | 0.2626 | 0.2148–0.3187 | 375.1429 | 3.2818 | 2.7617–3.8915 | 364.6444 |
| 2014 | 0.1708 | 0.1146–0.2433 | 3.7704 | 1.0634 | 0.0000–2.5492 | 3.5769 | 0.1144 | 0.0549–0.1672 | 10.5926 | 0.0072 | 0.0011–0.0127 | 8.0000 | 0.0214 | 0.0047–0.0349 | 5.9444 | |
| 2011 | 0.2616 | 0.1434–0.4642 | 2.7193 | 0.5291 | 0.2295–0.9901 | 11.5524 | 0.1571 | 0.0849–0.2377 | 12.6694 | 0.0098 | 0.0070–0.0131 | 5.1579 | 0.0389 | 0.0172–0.0672 | 3.3248 | |
| Yiwu | 2017 | — | — | — | 0.7436 | 0.5956–0.9835 | 4.7974 | 0.1313 | 0.1111–0.1534 | 12.1574 | 0.0121 | 0.0098–0.0145 | 17.2857 | 0.0420 | 0.0376–0.0510 | 4.6667 |
| 2011 | 0.9972 | 0.8861–1.1126 | 10.3659 | — | — | 0.1245 | 0.1038–0.1454 | 10.0403 | 0.0374 | 0.0323–0.0424 | 19.6842 | 0.1150 | 0.0913–0.1357 | 9.8291 | ||
| Zhoushan | 2017 | 0.2904 | 0.2347–0.3647 | 0.3732 | 58.8719 | 37.4590–91.7088 | 379.8187 | 0.2395 | 0.1657–0.3473 | 22.1759 | 0.1142 | 0.0557–0.2041 | 163.1429 | 0.2041 | 0.1340–0.3077 | 22.6778 |
Resistant population (RR ≥ 5 and the 95% Confidence interval between the tested strain and the susceptible strain was not overlapped).
Figure 1RR value of the house flies to dichlorvos in Zhejiang Province in 2017.
Figure 5RR value of the house flies to beta-cypermethrin in Zhejiang Province in 2017.
Figure 2RR value of the house flies to propoxur in Zhejiang Province in 2017.
Figure 3RR value of the house flies to permethrin in Zhejiang Province in 2017.
Figure 4RR value of the house flies to deltamethrin in Zhejiang Province in 2017.
Analysis of the insecticides resistance in different years.
| Dichlorvos | Propoxur | Permethrin | Deltamethrin | Beta-cypermethrin | |
|---|---|---|---|---|---|
|
| 0.428 | 7.501 | 4.528 | 11.241 | 0.922 |
| df | 2 | 2 | 2 | 2 | 2 |
|
| 0.807 | 0.024 | 0.104 | 0.004 | 0.631 |
P < 0.05.
The correlation test of the resistance to different insecticides.
| Dichlorvos | Propoxur | Permethrin | Deltamethrin | Beta-cypermethrin | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
|
|
|
|
|
|
| |
| Dichlorvos | 1 | — | 0.351 | 0.141 | 0.271 | 0.248 | 0.342 | 0.102 | 0.49 | 0.015 |
| Propoxur | 0.351 | 0.141 | 1 | — | 0.711 | 0.001 | 0.782 | 0.000 | 0.504 | 0.020 |
| Permethrin | 0.271 | 0.248 | 0.711 | 0.001 | 1 | — | 0.586 | 0.004 | 0.467 | 0.028 |
| Deltamethrin | 0.342 | 0.102 | 0.782 | 0.000 | 0.586 | 0.004 | 1 | — | 0.734 | 0.000 |
| Beta-cypermethrin | 0.49 | 0.015 | 0.504 | 0.020 | 0.467 | 0.028 | 0.734 | 0.000 | 1 | — |
P < 0.05.