| Literature DB >> 35448864 |
Xiaobei Liu1, Shen Liu1, Ying Long2, Yueqin Wang1, Wenlu Zhao3, Su Mon Shwe1, Zhenying Wang1, Kanglai He1, Shuxiong Bai1.
Abstract
Asian corn borer (ACB), Ostrinia furnacalis (Guenée) is a destructive pest of corn and major target of transgenic corn expressing Bt (Bacillus thuringiensis) toxins in China. It is necessary to establish the baseline susceptibility of geographically distinct ACB populations to Cry1Ab protein and estimate the resistance alleles frequency. The median lethal concentration (LC50) and LC95 values of Bt toxin Cry1Ab for 25 geographically distinct populations collected in 2018-2019 ranged from 0.86 to 71.33, 18.58 to 5752.34 ng/cm2, respectively. The median effective concentration (EC50) and EC95 values ranged from 0.03 to 10.40 ng/cm2 and 3.75 to 172.86 ng/cm2, respectively. We used the F2 screening method for estimating the expected frequency of resistance alleles of the 13 ACB populations, to Bt corn (Bt11 × GA21) expressing the Cry1Ab toxin. The neonates could not survive on the leaves of transgenic maize Bt11 × GA21 with cry1Ab gene, the Cry1Ab resistance allele frequency was still low in each geographic population in the field, ranging from 0.0032-0.0048, indicating that the sensitivity of ACB to Cry1Ab was still at a high level, and there were no viable resistant individuals in the field at present. The susceptibility of 25 populations of ACB collected in China showed regional differences, although the Cry1Ab resistance allele frequency in these ACB populations is still at a low level. This provides essential knowledge for making the decision to commercialize Bt maize, and monitoring resistance development and evaluating resistance management strategies in the future in China.Entities:
Keywords: Cry1Ab; Ostrinia furnacalis; resistance allele frequency; susceptibility
Mesh:
Substances:
Year: 2022 PMID: 35448864 PMCID: PMC9032732 DOI: 10.3390/toxins14040255
Source DB: PubMed Journal: Toxins (Basel) ISSN: 2072-6651 Impact factor: 4.546
Baseline susceptibility of different Chinese ACB populations to Cry1Ab protein.
| Population | N | LC50 (95% FL) ng/cm2 a | LC95 (95% FL) ng/cm2 a | Slope ± SE |
| |
|---|---|---|---|---|---|---|
| Luoyang | 1512 | 71.33 (45.61–102.64) a | 5752.34 (2532.54–21,631.84) a | 0.86 ± 0.11 | 10.30 | 19 |
| Xinxiang | 1512 | 66.31 (46.99–90.11) a | 3708.90 (1901.84–9857.31) a | 0.94 ± 0.10 | 8.78 | 19 |
| Xiaoxian | 1512 | 55.18 (35.31–80.01) a | 4596.70 (2166.61–14,375.89) a | 0.86 ± 0.10 | 11.51 | 19 |
| Dezhou | 1512 | 47.96 (35.01–61.51) a | 1052.27 (679.00–1981.37) b | 1.23 ± 0.13 | 7.73 | 19 |
| Jinan | 2160 | 28.35 (22.50–34.42) b | 305.75 (246.59–397.45) cd | 1.59 ± 0.11 | 8.56 | 28 |
| Qiqihar | 1512 | 27.86 (20.05–36.66) b | 922.94 (603.31–1625.22) b | 1.08 ± 0.09 | 7.77 | 19 |
| Gongzhuling | 1944 | 25.56 (20.23–30.95) b | 236.60 (190.22–311.10) cd | 1.70 ± 0.13 | 10.34 | 25 |
| Harbin | 1296 | 23.92 (7.76–31.17) bc | 1079.23 (684.77–1941.41) b | 0.99 ± 0.07 | 5.95 | 16 |
| Dongyang | 1944 | 13.67 (10.11–17.41) c | 183.25 (146.29–241.62) d | 1.46 ± 0.11 | 11.14 | 25 |
| Huanggang | 1728 | 13.60 (10.51–16.73) c | 138.11 (110.60–182.76) de | 1.63 ± 0.13 | 10.72 | 22 |
| Dalian | 1944 | 10.40 (7.54–13.60) cd | 229.70 (178.06–310.82) cd | 1.22 ± 0.08 | 6.57 | 25 |
| Heihe | 1512 | 8.92 (7.12–10.85) d | 109.66 (87.64–143.22) e | 1.51 ± 0.09 | 9.10 | 19 |
| Miyun | 1728 | 7.94 (5.83–10.26) de | 143.27 (111.27–194.29) de | 1.31 ± 0.09 | 10.46 | 22 |
| Kaili | 1728 | 7.11 (5.14–9.30) de | 145.37 (111.80–199.33) de | 1.26 ± 0.09 | 12.41 | 22 |
| Yingxian | 1512 | 6.98 (4.67–9.65) de | 1003.45 (567.19–2173.66) b | 0.76 ± 0.06 | 3.77 | 19 |
| Tongliao | 1512 | 6.69 (4.59–8.76) de | 53.76 (43.45–71.26) f | 1.82 ± 0.19 | 12.01 | 19 |
| Guangzhou | 1728 | 5.75 (4.59–6.98) e | 63.81 (51.90–81.29) f | 1.57 ± 0.09 | 6.76 | 22 |
| Chifeng | 1944 | 5.20 (3.54–7.18) ef | 250.65 (182.58–363.95) cd | 0.98 ± 0.06 | 13.13 | 25 |
| Dunhua | 1512 | 4.67 (3.55–5.87) ef | 84.38 (65.58–114.83) ef | 1.31 ± 0.09 | 11.29 | 19 |
| Deyang | 1944 | 3.90 (2.89–5.06) f | 109.87 (84.15–149.65) e | 1.14 ± 0.06 | 4.19 | 25 |
| Baicheng | 1728 | 2.97 (2.15–3.91) f | 99.81 (74.12–142.10) e | 1.08 ± 0.07 | 10.42 | 22 |
| Qinhuangdao | 1296 | 1.88 (1.39–2.40) g | 18.58 (14.74–24.64) h | 1.65 ± 0.13 | 12.72 | 16 |
| Shenyang | 2016 | 1.69 (1.13–2.31) g | 62.98 (48.62–86.72) f | 1.05 ± 0.08 | 10.41 | 26 |
| Chengde | 1512 | 1.36 (1.00–1.75) gh | 22.40 (17.39–30.43) gh | 1.35 ± 0.09 | 10.15 | 19 |
| Dandong | 1512 | 0.86 (0.44–1.38) h | 33.87 (25.47–49.09) g | 1.03 ± 0.10 | 7.09 | 19 |
| Laboratory population | 360 | 6.28 (4.46–8.50) de | 57.33 (38.35–98.88) fg | 1.71 ± 0.17 | 10.40 | 13 |
N = Number of larvae in the probit analysis. 95% FL = 95% fiducial limits. a = Values followed by the same lowercase letter in the same column indicate no significant difference (overlapping 95% fiducial limits). SE = Standard error. χ2 = Chi-square. df (χ2) = Degrees of freedom.
The larval growth inhibition of Cry1Ab protein to different ACB geographical populations.
| Population | N | EC50 (95% FL) ng/cm2 a | EC95 (95% FL) ng/cm2 a | Slope ± SE |
| |
|---|---|---|---|---|---|---|
| Xinxiang | 1512 | 10.40 (9.03–11.85) a | 172.86 (135.65–231.00) a | 1.35 ± 0.07 | 20.10 | 19 |
| Heihe | 1512 | 7.09 (6.14–8.09) b | 45.09 (36.42–58.99) cd | 2.05 ± 0.13 | 29.25 | 19 |
| Xiaoxian | 1512 | 4.56 (3.73–5.41) c | 77.17 (61.58–101.50) bc | 1.34 ± 0.08 | 23.03 | 19 |
| Dezhou | 1512 | 3.45 (2.65–4.30) c | 95.58 (73.09–133.61) b | 1.14 ± 0.08 | 7.05 | 19 |
| Qiqihar | 1512 | 3.30 (2.61–4.00) c | 55.24 (44.23–72.58) c | 1.34 ± 0.09 | 22.86 | 19 |
| Chifeng | 1944 | 1.68 (1.35–2.03) d | 45.73 (35.81–61.17) cd | 1.15 ± 0.06 | 19.61 | 25 |
| Dunhua | 1512 | 1.32 (0.86–1.80) de | 18.95 (15.41–24.65) e | 1.42 ± 0.13 | 15.44 | 19 |
| Harbin | 1296 | 1.25 (0.78–1.76) de | 34.71 (26.43–49.49) d | 1.14 ± 0.10 | 18.87 | 16 |
| Yingxian | 1512 | 1.23 (0.75–1.78) de | 49.26 (37.38–70.47) cd | 1.03 ± 0.09 | 6.80 | 19 |
| Luoyang | 1512 | 0.77 (0.38–1.27) e | 65.46 (47.00–102.33) bc | 0.85 ± 0.08 | 4.15 | 19 |
| Miyun | 1728 | 0.74 (0.56–0.93) e | 16.82 (13.26–22.53) ef | 1.21 ± 0.08 | 14.53 | 22 |
| Gongzhuling | 1944 | 0.68 (0.48–0.91) e | 26.28 (20.23–36.17) de | 1.04 ± 0.07 | 6.46 | 25 |
| Dalian | 1944 | 0.64 (0.46–0.84) e | 15.81 (12.46–21.18) ef | 1.18 ± 0.08 | 10.38 | 25 |
| Baicheng | 1728 | 0.64 (0.46–0.84) e | 15.10 (11.87–20.34) ef | 1.20 ± 0.09 | 4.07 | 22 |
| Tongliao | 1512 | 0.60 (0.43–0.77) e | 7.83 (6.33–10.26) g | 1.47 ± 0.12 | 4.58 | 19 |
| Qinhuangdao | 1296 | 0.60 (0.45–0.75) e | 3.75 (3.15–4.73) h | 2.08 ± 0.21 | 7.77 | 16 |
| Kaili | 1728 | 0.59 (0.40–0.79) ef | 18.12 (14.04–24.88) ef | 1.10 ± 0.08 | 3.61 | 22 |
| Dongyang | 1944 | 0.55 (0.38–0.74) ef | 12.62 (9.96–16.97) f | 1.21 ± 0.09 | 2.47 | 25 |
| Deyang | 1944 | 0.51 (0.35–0.68) ef | 9.84 (7.84–13.08) fg | 1.28 ± 0.10 | 11.24 | 25 |
| Huanggang | 1728 | 0.47 (0.30–0.67) ef | 20.19 (15.38–28.39) e | 1.01 ± 0.08 | 3.65 | 22 |
| Chengde | 1512 | 0.44 (0.29–0.59) ef | 4.17 (3.43–5.40) h | 1.68 ± 0.17 | 2.66 | 19 |
| Guangzhou | 1728 | 0.34 (0.20–0.49) f | 8.36 (6.57–11.34) g | 1.18 ± 0.11 | 3.78 | 22 |
| Jinan | 2160 | 0.20 (0.10–0.34) f | 34.56 (24.98–51.65) d | 0.74 ± 0.06 | 6.12 | 28 |
| Dandong | 1512 | 0.04 (0.00–0.20) g | 4.41 (2.13–6.92) gh | 0.81 ± 0.17 | 2.23 | 19 |
| Shenyang | 2016 | 0.03 (0.00–0.13) g | 3.87 (1.89–6.01) h | 0.76 ± 0.14 | 1.47 | 26 |
| Laboratory population | 360 | 0.46 (0.06–1.06) ef | 12.21 (7.35–33.76) fg | 1.16 ± 0.27 | 4.26 | 13 |
N = Number of larvae in the probit analysis. 95% FL = 95% fiducial limits. a = Values followed by the same lowercase letter in the same column indicate no significant difference (overlapping 95% fiducial limits). SE = Standard error. χ2 = Chi-square. df (χ2) = Degrees of freedom.
The frequency of Cry1Ab resistance allele of different ACB geographical populations.
| Province | Location | Number of Isofemale Lines | Var ( | E( | Number of Isofemale Lines with Resistance |
|---|---|---|---|---|---|
| Jilin | Dunhua | 61 | 6.18 × 10−5 | 0.0040 (0–1.95 × 10−2) | 0 |
| Liaoning | Shenyang | 56 | 7.27 × 10−5 | 0.0043 (0–2.10 × 10−2) | 0 |
| Heilongjiang | Qiqihar | 74 | 4.26 × 10−5 | 0.0033 (0–1.60 × 10−2) | 0 |
| Henan | Luoyang | 60 | 6.38 × 10−5 | 0.0040 (0–1.97 × 10−2) | 0 |
| Shanxi | Yingxian | 50 | 9.03 × 10−5 | 0.0048 (0–2.34 × 10−2) | 0 |
| Shandong | Dezhou | 55 | 7.53 × 10−5 | 0.0044 (0–2.15 × 10−2) | 0 |
| Jilin | Gongzhuling | 52 | 8.38 × 10−5 | 0.0046 (0–2.26 × 10−2) | 0 |
| Liaoning | Dalian | 75 | 4.15 × 10−5 | 0.0032 (0–1.57 × 10−2) | 0 |
| Inner Mongolia | Tongliao | 68 | 5.01 × 10−5 | 0.0036 (0–1.75 × 10−2) | 0 |
| Hebei | Qinhuangdao | 74 | 4.26 × 10−5 | 0.0033 (0–1.60 × 10−2) | 0 |
| Hubei | Huanggang | 58 | 6.80 × 10−5 | 0.0042 (0–2.03 × 10−2) | 0 |
| Zhejiang | Dongyang | 66 | 5.31 × 10−5 | 0.0037 (0–1.80 × 10−2) | 0 |
| Guizhou | Kaili | 53 | 8.08 × 10−5 | 0.0045 (0–1.95 × 10−2) | 0 |
| Total | - | 802 | 3.86 × 10−7 | 0.0003 (0–1.52 × 10−3) | 0 |
Figure 1Sampling locations where O. furnacalis were collected. “•” means only baseline was done; “▲” means baseline and resistance allele frequency were performed. The numbers on the map correspond to the location mentioned in Table 4.
Description of different ACB geographical populations in 2018–2019.
| Province | Location | Coordinates | Corn Ecological Region | Collected Insect Life Stage | Collection Month | Number of Collected Insects |
|---|---|---|---|---|---|---|
| Heilongjiang | Heihe (1) | 50°14′58.51″ N; 127°29′56.48″ E | NESpC | female moths | July, 2018 | 70 |
| Heilongjiang | Qiqihar (2) | 47°20′53.08″ N; 123°57′12.55″ E | NESpC | female moths | July, 2018 | 184 |
| Heilongjiang | Harbin (3) | 45°45′25.08″ N; 126°38′32.87″ E | NESpC | female moths | July, 2018 | 85 |
| Jilin | Baicheng (4) | 45°37′8.49″ N; 122°50′28.01″ E | NESpC | female moths | July, 2019 | 152 |
| Jilin | Gongzhuling (5) | 43°30′16.31″ N; 124°49′21.58″ E | NESpC | female moths | July, 2019 | 120 |
| Jilin | Dunhua (6) | 43°22′22.94″ N; 128°13′56.71″ E | NESpC | female moths | July, 2018 | 160 |
| Liaoning | Shenyang (7) | 41°47′48.36″ N; 123°25′44.75″ E | NESpC | female moths | June, 2018 | 195 |
| Liaoning | Dandong (8) | 40°7′27.47″ N; 124°22′58.96″ E | NESpC | female moths | July, 2018 | 203 |
| Liaoning | Dalian (9) | 38°54′52.52″ N; 121°37′7.04″ E | NESpC | female moths | June, 2019 | 180 |
| Inner Mongolia | Tongliao (10) | 43°37′2.74″ N; 122°15′47.23″ E | NESpC | female moths | June, 2019 | 169 |
| Inner Mongolia | Chifeng (11) | 42°16′31.14″ N; 118°57′24.50″ E | NESpC | female moths | June, 2019 | 220 |
| Shanxi | Yingxian (12) | 39°33′10.04″ N; 113°11′25.87″ E | NSpC | female moths | August, 2018 | 201 |
| Hebei | Chengde (13) | 40°58′34.33″ N; 117°56′20.95″ E | HHHSuC | female moths | June, 2019 | 117 |
| Hebei | Qinhuangdao (14) | 39°56′33.11″ N; 119°35′11.68″ E | HHHSuC | female moths | June, 2019 | 143 |
| Beijing | Miyun (15) | 40°22′34.25″ N; 116°50′34.62″ E | HHHSuC | female moths | August, 2019 | 132 |
| Shandong | Dezhou (16) | 37°27′14.28″ N; 116°18′26.74″ E | HHHSuC | female moths | August, 2018 | 174 |
| Shandong | Jinan (17) | 36°40′32.91″ N; 117°0′3.32″ E | HHHSuC | female moths | August, 2019 | 75 |
| Henan | Luoyang (18) | 34°39′46.95″ N; 112°26′4.08″ E | HHHSuC | female moths | August, 2018 | 186 |
| Henan | Xinxiang (19) | 35°18′9.42″ N; 113°53′2.37″ E | HHHSuC | female moths | August, 2018 | 130 |
| Anhui | Xiaoxian (20) | 34°11′16.44″ N; 116°56′43.66″ E | HHHSuC | female moths | September, 2018 | 182 |
| Zhejiang | Dongyang (21) | 29°17′21.91″ N; 120°14′30.66″ E | SEHiC | pupae | July, 2019 | 210 |
| Hubei | Huanggang (22) | 30°26′51.76″ N; 114°52′45.71″ E | SEHiC | female moths | August, 2019 | 266 |
| Guangdong | Guangzhou (23) | 23°7′30.64″ N; 113°16′50.29″ E | SEHiC | larvae | August, 2019 | 143 |
| Sichuan | Deyang (24) | 31°7′40.77″ N; 104°23′55.14″ E | SWHiC | larvae | September, 2019 | 172 |
| Guizhou | Kaili (25) | 26°34′0.80″ N; 107°58′52.75″ E | SWHiC | larvae | August, 2019 | 225 |
NESpC, Northeast Spring Corn Region; NSpC, North Spring Corn Region; HHHSuC, Huanghuaihai (River Valley) Summer Corn Region; SEHiC, Southeast Hilly Corn Region; SWHiC, Southwest Hilly Corn Regio.