期刊文献+

Capturing the interaction types of two Bt toxins CrylAc and Cry2Ab on suppressing the cotton bollworm by using multi-exponential equations 被引量:1

Capturing the interaction types of two Bt toxins CrylAc and Cry2Ab on suppressing the cotton bollworm by using multi-exponential equations
原文传递
导出
摘要 Transgenic crops are increasingly promoted for their practical effects on suppressing certain insect pests, but all transgenic crops are not equally successful. The insect pests can easily develop resistance against single Bacillus thuringiensis (Bt) toxin trans- genic crops. Therefore, transgenic crops including two or more mixed Bt-toxins can solve this problem by delaying the resistance development and killing the majority of targeted pests before the evolution of resistance. It is important to test the controlling effects of transgenic crops including multiple mixed toxins on a particular insect pest. Previous research has checked the cross-resistance and interactions between Bt toxins CrylAc and Cry2Ab against one susceptible and four resistant strains of cotton bollworm. The results showed that independence was the main interaction type between two toxins for the susceptible strain, whereas synergism was the main interaction type for any one resistant strain. However, the optimal combinations of two toxins were not obtained. In the present study, we developed two multi-exponential equations (namely bi- and tri-exponential equations) to describe the combination effects of two Bt toxins. Importantly, the equations can provide predictions of combination effects of different continuous concentrations of two toxins. We compared these two multi-exponential equations with the generalized linear model (GLM) in describing the combination effects, and found that the bi- and tri-exponential equations are better than GLM. Moreover, the bi-exponential equation can also provide the optimal dose combinations for two toxins. Transgenic crops are increasingly promoted for their practical effects on suppressing certain insect pests, but all transgenic crops are not equally successful. The insect pests can easily develop resistance against single Bacillus thuringiensis (Bt) toxin trans- genic crops. Therefore, transgenic crops including two or more mixed Bt-toxins can solve this problem by delaying the resistance development and killing the majority of targeted pests before the evolution of resistance. It is important to test the controlling effects of transgenic crops including multiple mixed toxins on a particular insect pest. Previous research has checked the cross-resistance and interactions between Bt toxins CrylAc and Cry2Ab against one susceptible and four resistant strains of cotton bollworm. The results showed that independence was the main interaction type between two toxins for the susceptible strain, whereas synergism was the main interaction type for any one resistant strain. However, the optimal combinations of two toxins were not obtained. In the present study, we developed two multi-exponential equations (namely bi- and tri-exponential equations) to describe the combination effects of two Bt toxins. Importantly, the equations can provide predictions of combination effects of different continuous concentrations of two toxins. We compared these two multi-exponential equations with the generalized linear model (GLM) in describing the combination effects, and found that the bi- and tri-exponential equations are better than GLM. Moreover, the bi-exponential equation can also provide the optimal dose combinations for two toxins.
出处 《Insect Science》 SCIE CAS CSCD 2016年第4期649-654,共6页 昆虫科学(英文版)
基金 RJ. Shi received support from the National Natural Science Foundation for Young Scholars of China (No. 31400348), the Priority Academic Program Development of Jiangsu Higher Education Institutions, and the Startup Foundation of Nanjing Forestry University (GXL038). J.Z. Wei and G.M. Liang received support from the Key Project for Breeding Genetically Modified Organisms (2014ZX08011-002), and the National Natural Science Foundations of China (No. 30971921, 31321004).
关键词 bi-exponential equation interaction MORTALITY resistance tri-exponential equation bi-exponential equation interaction mortality resistance tri-exponential equation
  • 相关文献

参考文献2

二级参考文献18

  • 1陈晓峰,谭声江,刘仁义,王瑛,李典谟.棉铃虫种群遗传变化的研究(英文)[J]Entomologia Sinica,2000(03).
  • 2Paoletti M G,Gentic I D P.Engineering in agriculture and the envi-ronment:Assessing risk and benefits. Bioscience . 1996
  • 3Fitt GP.Risks,deployment and integration of insect resistantcrops expressing genes fromBacillus thuringiensis. Commercialisation ofTransgenic Crops:Risk,Benefit and Trade Considerations . 1997
  • 4Avise,JC. Molecular markers, natural history and evolution . 1994
  • 5Meyer W,Mitchell TG.Polymerase chain reaction fingerprinting in fungi using single primers specific to minisatellites and simple repetitive DNA sequences: strain varriation in cryptococcus neoformans. Electrophoresis . 1995
  • 6Bruce SW.Genetic Data Analysis―Methods for Discrete Population Genetic Data. . 1990
  • 7Rousset,F.Genetic differentiation and estimation of gene flow from F-statistic under isolation by distance. Genetics . 1997
  • 8Freudling,C.Chinese Bt cotton needs resistance management. Biotechnology and Development Monitor . 1999
  • 9GK Roderick.Geographic structure of insect population: gene flow, phylogeography, and their uses. Annual Review of Entomology . 1996
  • 10Tang, Z,Zhou, X,Zhang, G. S.Endotoxin of Bacillus thur-ingiensis and pest-insect resistance. Molecular Toxicology of Insecticides and Insect Resistance .

共引文献1

同被引文献17

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部