Sharma Anshul, Lee Sulhee, Park Young-Seo
Department of Food and Nutrition, Gachon University, Seongnam, 13120 Republic of Korea.
Faculty of Applied Sciences and Biotechnology, Shoolini University of Biotechnology and Management Sciences, Bajhol, Solan, Himachal Pradesh 173229 India.
Food Sci Biotechnol. 2020 Aug 16;29(10):1301-1318. doi: 10.1007/s10068-020-00802-x. eCollection 2020 Oct.
Identification and classification of beneficial microbes is of the highest significance in food science and related industries. Conventional phenotypic approaches pose many challenges, and they may misidentify a target, limiting their use. Genotyping tools show comparatively better prospects, and they are widely used for distinguishing microorganisms. The techniques already employed in genotyping of lactic acid bacteria (LAB) are slightly different from one another, and each tool has its own advantages and disadvantages. This review paper compiles the comprehensive details of several fingerprinting tools that have been used for identifying and characterizing LAB at the species, sub-species, and strain levels. Notably, most of these approaches are based on restriction digestion, amplification using polymerase chain reaction, and sequencing. Nowadays, DNA sequencing technologies have made considerable progress in terms of cost, throughput, and methodology. A research journey to develop improved versions of generally applicable and economically viable tools for fingerprinting analysis is ongoing globally.
有益微生物的鉴定和分类在食品科学及相关行业中具有至关重要的意义。传统的表型方法面临诸多挑战,可能会错误识别目标,限制了它们的应用。基因分型工具显示出相对更好的前景,被广泛用于区分微生物。已用于乳酸菌(LAB)基因分型的技术彼此略有不同,每种工具都有其优缺点。这篇综述文章汇编了几种用于在种、亚种和菌株水平上鉴定和表征乳酸菌的指纹识别工具的全面细节。值得注意的是,这些方法大多基于限制性酶切、聚合酶链反应扩增和测序。如今,DNA测序技术在成本、通量和方法学方面取得了长足进展。全球范围内正在开展一项研究工作,以开发出普遍适用且经济可行的指纹分析工具的改进版本。