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首页> 外文期刊>Biochimica et Biophysica Acta. Gene Regulatory Mechanisms >Mechanisms behind polyphagia in a pest insect: Responses of Spodoptera frugiperda (JE Smith) strains to preferential and alternative larval host plants assessed with gene regulatory networks
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Mechanisms behind polyphagia in a pest insect: Responses of Spodoptera frugiperda (JE Smith) strains to preferential and alternative larval host plants assessed with gene regulatory networks

机译:虫害昆虫中的多斑层的机制:Spodoptera frugiperda(JE Smith)菌株对基因监管网络评估的优惠和替代幼虫宿主植物的反应

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A dataset of gene expression from Spodoptera frugiperda, a highly generalist pest moth, was used to understand how gene regulation is related to larval host plant preference. Transcriptomic data of corn and rice strains of S. frugiperda larvae, reared on different diets, were analysed with three different approaches of gene network inference, namely co-expression, weighted co-expression and Bayesian networks, since each methodology provides a different visualization of the data. Using these approaches, it was possible to identify two loosely interconnected co-expression networks, one of them responsible for fast response to herbivory and anti-herbivory mechanisms and the other related to housekeeping genes, which present slower response to environmental variations. Integrating different levels of information such as gene expression patterns, gene assembly, transcriptomics, relationship among genes and phenotypes, functional relationships, among other information, enabled a wider visualization of S. frugiperda response to diet stimuli. The biological properties in the proposed networks are here described and discussed, as well as patterns of gene expression related to larval performance attributes.
机译:来自Spodoptera Frugiperda,一种高度一般的害虫蛾的基因表达的数据集用于了解基因调节如何与幼虫宿主植物偏好有关。分析了在不同饮食中饲养的玉米和水稻菌株的转录组数据,并用三种不同的基因网络推理方法,即共表达,加权共同表达和贝叶斯网络,因为各种方法提供了不同的可视化数据。使用这些方法,可以识别两个松散互连的共同表达网络,其中一个负责快速响应草食病和抗草食机制以及与内政基因有关的另一个,这对环境变化的反应较慢。整合不同级别的信息,例如基因表达模式,基因组装,转录组织,基因和表型之间的关系,功能关系,以及其他信息,使得S. Frugiperda对饮食刺激的反应更广泛的可视化。这里提出和讨论了所提出的网络中的生物学特性,以及与幼虫性能属性有关的基因表达模式。

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