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用于奶酪制作中不明菌株起始剂研究的分类群和宏基因组学方法。

Metataxonomic and metagenomic approaches for the study of undefined strain starters for cheese manufacture.

机构信息

Scuola di Scienze Agrarie, Forestali, Alimentari e Ambientali, Università degli Studi della Basilicata, Potenza, Italy.

出版信息

Crit Rev Food Sci Nutr. 2022;62(14):3898-3912. doi: 10.1080/10408398.2020.1870927. Epub 2021 Jan 18.

DOI:10.1080/10408398.2020.1870927
PMID:33455430
Abstract

Undefined strain starters are used for the production of many traditional and artisanal cheeses. Composition of undefined starters depends on several factors, and the diversity in strains and species significantly affects cheese quality and features. Culture-dependent approaches have long been used for the microbial profiling and functionalities of undefined cultures but underestimate their diversity due to culturability biases. Recently, culture-independent methods, based on high-throughput sequencing (HTS), have been preferred, with a significant boost in resolution power and sensitivity level. Amplicon targeted (AT) metagenomics, based on 16S rRNA sequencing, returned a larger microbiota diversity at genus and, sometimes, at species levels for artisanal starters of several PDO cheeses, but was inappropriate for populations with high strain diversity, and other gene targets were tested in AT approaches. Shotgun metagenomics (total DNA) and metatranscriptomics (total RNA), although are more powerful in depicting diversity and functionality of undefined cultures, have been rarely applied because of some limitations (e.g., high costs and laboriousness, need for bioinformatics skills). The advantages of HTS technologies are undoubted, but some hurdles need to be still overcame (e.g., resolution power, discrepancy between active and inactive cells, robust analytic pipelines, cost and time reduction for integrated approaches) so that HTS become routinary and convenient for defining complexity, microbial interactions (including host-phage relationships) and evolution in cheeses of undefined starters.

摘要

未定义的发酵剂用于生产许多传统和手工奶酪。未定义的发酵剂的组成取决于几个因素,菌株和物种的多样性显著影响奶酪的质量和特性。基于培养的方法长期以来一直用于未定义培养物的微生物分析和功能,但由于可培养性偏差,低估了它们的多样性。最近,基于高通量测序(HTS)的非培养方法已被优先采用,其分辨率和灵敏度水平显著提高。基于 16S rRNA 测序的扩增子靶向(AT)宏基因组学,为几种 PDO 奶酪的手工发酵剂返回了更大的微生物多样性,在属水平,有时在种水平上,但是对于具有高菌株多样性的群体不适用,并且在 AT 方法中测试了其他基因靶标。虽然 shotgun 宏基因组学(总 DNA)和 metatranscriptomics(总 RNA)在描绘未定义培养物的多样性和功能方面更强大,但由于一些限制因素(例如,高成本和繁琐性、对生物信息学技能的需求),它们很少被应用。HTS 技术的优势是毋庸置疑的,但仍需要克服一些障碍(例如,分辨率、活性和非活性细胞之间的差异、稳健的分析流程、综合方法的成本和时间降低),以便 HTS 成为定义未定义发酵剂奶酪的复杂性、微生物相互作用(包括宿主-噬菌体关系)和进化的常规和便捷方法。

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