气候变化对微生物遗传资源的响应

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引用次数: 0

摘要

研究人员正在使用遗传、基因组和系统生物学的方法来筛选微双基因组,以寻找相关的基因和基因片段。这些筛选可以揭示适应和营养利用代谢的新见解。新的途径和主控调控基因也可能从这样的研究中出现。以下是筛选技术和相关方法的例子。微生物群落可以使用许多技术进行分析;显微镜,培养,免疫学和基于核酸的分子技术。在过去的几年中,基于核酸的分子技术已被用于识别和量化环境中的微生物和技术应用。这些技术大多是基于从培养物、生物反应器或环境样品中提取DNA,然后使用聚合酶链反应扩增提取的DNA,最后分析扩增产物。在大多数情况下,分析原核细胞的16S核糖体RNA基因用于基于pcr的细菌鉴定。为了解决生物多样性和识别新物种产生的证据,利用遗传技术发现控制生物量的基因,假设微生物在适应环境因素中发挥生物学作用。代谢工程被定义为通过修改特定的生化反应或引入新的生化反应来直接改善产物的形成,因此它是在微生物和植物上的实施,导致药物的发现。一些关键的步骤包括一个组织良好和有效的方法和最佳的代谢工程。此外,使用基因组学数据激活沉默的代谢簇可以被纳入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of Genetic Resources of Microorganism as Response of Climate Change
Identifying previously unknown genetic loci directing microbial adaptation holds great promise for using such discoveries to increase biomass yield Researchers are using genetic, genomic, and systems biology approaches to screen micro bialgenomes for genes and gene segments linked Such screens could reveal new insight into adaptation and nutrient use Metabolism. Novel pathways and master regulatory genes also may emerge from such investigations. Examples of screening techniques and associated approaches follow. Microbial communities can be analyzed using many techniques; microscopic, cultivation, immunological and nucleic-acid based molecular techniques. During the last years, nucleic-acid based molecular techniques have been used to identify and quantify microorganisms in the environment and technical applications. Most of these techniques are based on the extraction of DNA from cultures, bioreactors or environmental samples, followed by the amplification of extracted DNA using the Polymerase Chain Reaction, and finally analysis of the amplification products. In most of cases, the 16S ribosomal RNA gene of prokaryotic cells is analyzed for the PCR-based identification of bacteria. To address the biodiversity and to identify new species generating evident for Use Genetic Technology to Discover Genes Controlling Biomass with hypothesize that microbe that plays a biological role in adaptations to environmental factors. Where metabolic engineering has been defined as the direct improvement of product formation through the modification of specific biochemical reactions or the introduction of new ones, so it is implementation on microorganism and plant leading to drug discovery. Some critical steps enclose a well-organized and competent way and optimal metabolic engineering Moreover, the use genomics data for the activation of silent metabolic clusters can be incorporated.
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