Department of Soil, Plant and Food Science (DiSSPA), University of Bari Aldo Moro, via G. Amendola 165/A, 70126, Bari, Italy.
Department of Soil, Plant and Food Science (DiSSPA), University of Bari Aldo Moro, via G. Amendola 165/A, 70126, Bari, Italy.
J Dairy Sci. 2024 Sep;107(9):6541-6557. doi: 10.3168/jds.2023-24049. Epub 2024 Apr 19.
The microbiota of a cheese play a critical role in influencing its sensory and physicochemical properties. In this study, traditional Apulian Caciocavallo cheeses coming from 4 different dairies in the same area and produced following standardized procedures were examined, as well as the different bulk milks and natural whey starter (NWS) cultures used. Moreover, considering the cheese wheels as the blocks of Caciocavallo cheeses as whole, these were characterized at different layers (i.e., core, under-rind, and rind) of the block using a multi-omics approach. In addition to physical-chemical characterization, culturomics, quantitative PCR, metagenomics, and metabolomics analysis were carried out after salting and throughout the ripening time (2 mo) to investigate major shifts in the succession of the microbiota and flavor development. Culture-dependent and 16S rRNA metataxonomics results clearly clustered samples based on microbiota biodiversity related to the production dairy plant as a result of the use of different NWS or the intrinsic conditions of each production site. At the beginning of the ripening, cheeses were dominated by Lactobacillus, and in 2 dairies (Art and SdC), Streptococcus genera were associated with the NWS. The analysis allowed us to show that although the diversity of identified genera did not change significantly between the rind, under-rind, and core fractions of the same samples, there was an evolution in the relative abundance and absolute quantification, modifying and differentiating profiles during ripening. The real-time PCR, also known as quantitative or qPCR, mainly differentiated the temporal adaptation of those species originating from bulk milks and those provided by NWS. The primary starters detected in NWS and cheeses contributed to the high relative concentration of 1-butanol, 2-butanol, 2-heptanol, 2-butanone, acetoin, delta-dodecalactone, hexanoic acid ethyl ester, octanoic acid ethyl ester, and volatile free fatty acids during ripening, whereas cheeses displaying low abundances of Streptococcus and Lactococcus (dairy Del) had a lower total concentration of acetoin compared with Art and SdC. However, the subdominant strains and nonstarter lactic acid bacteria present in cheeses are responsible for the production of secondary metabolites belonging to the chemical classes of ketones, alcohols, and organic acids, reaffirming the importance and relevance of autochthonous strains of each dairy plant although only considering a delimited production area.
奶酪中的微生物群落对于影响其感官和理化特性起着至关重要的作用。在这项研究中,我们对来自同一地区 4 家不同乳品厂的传统普利亚干酪(Apulian Caciocavallo cheese)进行了检查,这些奶酪是按照标准化程序生产的,同时还检查了不同的原料奶和天然乳清发酵剂(NWS)。此外,我们将奶酪轮作为整个 Caciocavallo 奶酪的块状物,使用多组学方法对块状物的不同层(核心、外皮和外皮下)进行了特征描述。除了理化特性的表征外,在腌制和成熟过程中(2 个月)还进行了培养组学、定量 PCR、宏基因组学和代谢组学分析,以研究微生物群落演替和风味发展的主要变化。基于与生产乳品厂相关的微生物多样性,培养依赖和 16S rRNA 代谢组学结果清楚地将样本聚类,这是由于使用了不同的 NWS 或每个生产场所的内在条件。在成熟初期,奶酪主要由乳杆菌属(Lactobacillus)主导,在 2 家乳品厂(Art 和 SdC)中,链球菌属(Streptococcus)与 NWS 有关。分析表明,尽管同一样品的外皮、外皮下和核心部分之间鉴定出的属的多样性没有显著变化,但在成熟过程中,相对丰度和绝对定量发生了变化,从而改变和区分了不同的特征。实时聚合酶链反应(PCR),也称为定量或 qPCR,主要区分了源自原料奶和 NWS 的那些物种的时间适应。在 NWS 和奶酪中检测到的原始启动子有助于在成熟过程中提高 1-丁醇、2-丁醇、2-庚醇、2-丁酮、乙酰基、δ-十二内酯、己酸乙酯、辛酸乙酯和挥发性游离脂肪酸的相对浓度,而显示出低链球菌和乳球菌(乳品 Del)丰度的奶酪与 Art 和 SdC 相比,乙酰基的总浓度较低。然而,奶酪中存在的亚优势菌株和非发酵乳酸细菌负责生产属于酮类、醇类和有机酸类的次生代谢物,这再次证实了尽管只考虑了一个限定的生产区域,但每个乳品厂的土著菌株的重要性和相关性。