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利用 SCoT 标记揭示细菌分离物的遗传多样性。

Unveiling Genetic Diversity Among Bacterial Isolates Using SCoT Markers.

机构信息

Department of Plant Protection, Faculty of Agriculture, Bolu Abant Izzet Baysal University, 14030, Bolu, Turkey.

Department of Plant Protection, Faculty of Agriculture, Düzce University, 81620, Düzce, Turkey.

出版信息

Curr Microbiol. 2024 Oct 16;81(12):409. doi: 10.1007/s00284-024-03938-9.

Abstract

This study aimed to unveil the genetic diversity among 47 bacterial isolates from various species using start codon targeted (SCoT) markers. Six SCoT primers yielded 219 reproducible bands, with 89.04% exhibiting polymorphism. The amplification process generated 28 to 50 fragments per primer, with an average of 36.50. Genetic diversity was quantified using polymorphic information content (PIC) values ranging from 0.11 to 0.14, with SCoT32 showing the highest PIC (0.14) and SCoT23 the lowest (0.11). The resolving power (RP) index, used to assess primer discriminatory power, varied significantly, with SCoT23 demonstrating the highest RP (6.00) and SCoT29 the lowest (4.51). Comparative analysis with conventional markers like M13 and (GTG) revealed that certain SCoT primers exhibited superior PIC values, which indicates enhanced utility for interspecies differentiation. The high discrimination level achieved by SCoT primers underscores their effectiveness in genetic differentiation and biodiversity assessment within bacterial populations. This research highlights SCoT markers as powerful tools for microbial genetic studies, which offers valuable insights into bacterial diversity and provides a robust methodological framework for future investigations aimed at elucidating genetic variation and improving species identification. The application of SCoT markers represents a significant advancement in molecular techniques for bacterial characterization and phylogenetic analysis, demonstrating their potential to enhance our understanding of microbial genetics and evolution.

摘要

本研究旨在利用起始密码子靶向(SCoT)标记揭示来自不同物种的 47 个细菌分离株的遗传多样性。六个 SCoT 引物产生了 219 个可重复的条带,其中 89.04%表现出多态性。扩增过程中每个引物产生 28 到 50 个片段,平均为 36.50 个。使用多态性信息量(PIC)值从 0.11 到 0.14 来量化遗传多样性,其中 SCoT32 表现出最高的 PIC(0.14),而 SCoT23 则最低(0.11)。分辨率(RP)指数用于评估引物的区分能力,差异显著,其中 SCoT23 具有最高的 RP(6.00),而 SCoT29 则最低(4.51)。与常规标记物如 M13 和(GTG)的比较分析表明,某些 SCoT 引物表现出较高的 PIC 值,这表明它们在种间分化方面具有增强的实用性。SCoT 引物所达到的高鉴别水平突出了它们在细菌群体中的遗传分化和生物多样性评估中的有效性。这项研究强调了 SCoT 标记作为微生物遗传研究的有力工具,为细菌多样性提供了有价值的见解,并为未来旨在阐明遗传变异和改进物种鉴定的研究提供了强大的方法学框架。SCoT 标记的应用代表了细菌特征描述和系统发育分析中分子技术的重大进展,展示了它们增强我们对微生物遗传学和进化理解的潜力。

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