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AI- modelling of molecular identification and feminization of wolbachia infected Aedes aegypti.
Progress in Biophysics and Molecular Biology ( IF 3.8 ) Pub Date : 2019-07-11 , DOI: 10.1016/j.pbiomolbio.2019.07.001
Mehwish Iftikhar 1 , Sahrish Iftikhar 2 , Ayesha Sohail 1 , Sana Javed 3
Affiliation  

Background

The genetic control strategies of vector borne diseases includes the replacement of a vector population by “disease-refractory” mosquitoes and the release of mosquitoes with a gene to control the vector's reproduction rates. Wolbachia are common intracellular bacteria that are found in arthropods and nematodes. Wolbachia infected male mosquitos have been used in different experimental trials around the world to suppress the target population of Aedes aegypti and this genetic control strategy has proved to be a promising alternative to other treatment strategies. Due to certain limitations, the successful application of this strategy is still awaited.

Methods

Mathematical frame work for Wolbachia induced genetic control strategy has been developed in this article. With the aid of Artificial Intelligence (AI) tools, accurate parametric values are depicted. For the first time, the model is well synchronized with the experimental findings. The model is comprised of the generalized varying coefficient and multiple mating rates between infected and uninfected compartments of Aedes aegypti dengue to forecast the disease control.

Results

Two mathematical models are developed in this article to demonstrate different mating rates of the genetic control strategy. The important parameters and time varying coefficients are well demonstrated with the aid of numerical computations. The resulting thresholds and forecasting may prove to be a useful tool for future experimental studies.

Conclusions

From our analysis, we have concluded that the genetic control strategy is a promising technique and the role of Wolbachia infected male mosquitos, in genetic control strategies, can be better interpreted in an inexpensive manner with the aid of a theoretical model.



中文翻译:

感染沃尔巴克氏埃及伊蚊的分子鉴定和女性化的AI模型。

背景

媒介传播疾病的遗传控制策略包括用“疾病难治性”蚊子替代媒介种群,并用控制媒介繁殖率的基因释放蚊子。沃尔巴氏菌是节肢动物和线虫中常见的细胞内细菌。感染了沃尔巴克氏菌的雄性蚊子已在世界各地的不同实验研究中用于抑制埃及伊蚊的目标种群,并且这种基因控制策略已被证明是其他治疗策略的有希望的替代方法。由于某些限制,仍在等待该策略的成功应用。

方法

本文已为沃尔巴克氏菌诱导的遗传控制策略开发了数学框架。借助人工智能(AI)工具,可以显示准确的参数值。该模型首次与实验结果很好地同步。该模型由埃及伊蚊的感染区和未感染区室的广义变异系数和多种交配率组成,以预测疾病的控制。

结果

本文开发了两个数学模型,以证明遗传控制策略的不同交配率。重要参数和时变系数已通过数值计算得到很好的证明。结果阈值和预测可能被证明是将来进行实验研究的有用工具。

结论

根据我们的分析,我们得出结论,遗传控制策略是一种很有前途的技术,借助理论模型,可以廉价地更好地解释感染了Wolbachia的雄性蚊子在遗传控制策略中的作用。

更新日期:2019-07-11
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