A Review on Bioinformatics and Genomic Advances in Black Widow Spider Research

Aakriti Shrivastava, V. K. Sharma
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Abstract

Sustainable ecosystem is huge topic for discussion in this era. It's a continuous process that comes from some biotic and abiotic factors such as; pollution of the atmosphere, waste production, toxic substance disposal, damaged aquatic ecosystems, deforestation, etc. To control the loss of biodiversity we must apply some innovative technologies of genome analysis and database management systems. Spiders (order Araneae) are the species which is broadly distributed in our diversity. Latrodectus is a genus of amazing spiders commonly known as a black widow have numerous attractive features and is a huge research topic, Because of its biological product and behavior. The literature review has been carried out by following reasoning methodology and is presented. The results of this study indicate that different researchers have taken different approaches to analysing the genomic data with some broadly use methods like whole genome sequencing, genotyping, and different proteome analysis and management of data Overall, it is evident from the literature offers a meaningful option, especially for managing genomic data and provided new framework towards the sustainable ecosystem.
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黑寡妇蜘蛛研究中的生物信息学和基因组学进展综述
可持续生态系统是当今时代讨论的一个重要话题。这是一个持续的过程,来自一些生物和非生物因素,如大气污染、废物生产、有毒物质处理、水生生态系统破坏、森林砍伐等。为了控制生物多样性的丧失,我们必须应用基因组分析和数据库管理系统等创新技术。蜘蛛(蛛形纲)是在我们的多样性中分布广泛的物种。Latrodectus是一种神奇的蜘蛛属,俗称黑寡妇,具有众多吸引人的特征,由于其生物产品和行为,是一个巨大的研究课题。本文采用推理方法进行了文献综述。这项研究的结果表明,不同的研究人员采取了不同的方法来分析基因组数据,其中一些广泛使用的方法包括全基因组测序、基因分型以及不同的蛋白质组分析和数据管理。总之,从文献中可以明显看出,这些方法提供了一种有意义的选择,特别是在管理基因组数据方面,并为实现可持续生态系统提供了新的框架。
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