Raymond-Fleury Annick, Lessard Marie-Hélène, Chamberland Julien, Pouliot Yves, Dugat-Bony Eric, Turgeon Sylvie L, St-Gelais Daniel, Labrie Steve
Department of Food Sciences and Nutrition, Institute of Nutrition and Functional Foods (INAF), STELA Dairy Research Centre, Université Laval, 2425 rue de l'Agriculture, Quebec City, QC G1V 0A6, Canada.
UMR SayFood, INRAE, AgroParisTech, Université Paris-Saclay, Avenue Lucien Brétignières, 78850 Thiverval-Grignon, France.
Microorganisms. 2022 Jul 9;10(7):1381. doi: 10.3390/microorganisms10071381.
Environmental short amplicon sequencing, or metabarcoding, is commonly used to characterize the bacterial and fungal microbiota of cheese. Comparisons between different metabarcoding studies are complicated by the use of different gene markers. Here, we systematically compare different metabarcoding molecular targets using V3-V4 and V6-V8 regions of the bacterial 16S rDNA and fungal ITS1 and ITS2 regions. Taxonomic profiles varied depending on the molecular markers used. Based on data quality and detection capacity of the markers toward microorganisms usually associated with the dairy environment, the ribosomal regions V3-V4 and ITS2 were selected and further used to evaluate variability in the microbial ecosystem of terroir cheeses from the province of Quebec in Canada. Both fungal and bacterial ecosystem profiles were described for 32 different ready-to-eat bloomy-, washed- and natural-rind specialty cheese varieties. Among them, 15 were studied over two different production years. Using the Bray-Curtis dissimilarity index as an indicator of microbial shifts, we found that most variations could be explained by either a voluntary change in starter or ripening culture composition, or by changes in the cheesemaking technology. Overall, our results suggest the persistence of the microbiota between the two years studied-these data aid understanding of cheese microbiota composition and persistence during cheese ripening.
环境短扩增子测序,即宏条形码技术,常用于表征奶酪中的细菌和真菌微生物群。不同的宏条形码研究之间的比较因使用不同的基因标记而变得复杂。在这里,我们使用细菌16S rDNA的V3 - V4和V6 - V8区域以及真菌ITS1和ITS2区域,系统地比较了不同的宏条形码分子靶标。分类学图谱因所使用的分子标记而异。基于数据质量以及标记对通常与乳制品环境相关的微生物的检测能力,选择了核糖体区域V3 - V4和ITS2,并进一步用于评估加拿大魁北克省风土奶酪微生物生态系统的变异性。描述了32种不同的即食型表面有菌膜、水洗和天然外皮的特色奶酪品种的真菌和细菌生态系统图谱。其中,15种在两个不同的生产年份进行了研究。使用Bray - Curtis差异指数作为微生物变化的指标,我们发现大多数变化可以通过起始发酵剂或成熟培养物组成的自愿改变,或通过奶酪制作技术的变化来解释。总体而言,我们的结果表明在所研究的两年间微生物群持续存在——这些数据有助于理解奶酪成熟过程中微生物群的组成和持续性。