Abstract

Natural whey starters (NWS) are undefined bacterial communities produced daily from whey of the previous cheese-making round, by application of high temperature. As a result, in any dairy plant, NWS are continuously evolving, undefined mixtures of several strains and/or species of lactic acid bacteria, whose composition and performance strongly depend on the selective pressure acting during incubation. While NWS is critical to assure consistency to cheese-making process, little is known about the composition, functional features, and plant-to-plant fluctuations. Here, we integrated 16S rRNA metabarcoding and culture-dependent methods to profile bacterial communities of 10 NWS sampled in the production area of Parmigiano Reggiano cheese. 16S rRNA metabarcoding analysis revealed two main NWS community types, namely NWS type-H and NWS type-D. Lactobacillus helveticus was more abundant in NWS type-H, whilst Lactobacillus delbrueckii/St. thermophilus in NWS type-D, respectively. Based on the prediction of metagenome functions, NWS type-H samples were enriched in functional pathways related to galactose catabolism and purine metabolism, while NWS type-D in pathways related to aromatic and branched chain amino acid biosynthesis, which are flavor compound precursors. Culture-dependent approaches revealed low cultivability of individual colonies as axenic cultures and high genetic diversity in the pool of cultivable survivors. Co-culturing experiments showed that fermentative performance decreases by reducing the bacterial complexity of inoculum, suggesting that biotic interactions and cross-feeding relationships could take place in NWS communities, assuring phenotypic robustness. Even though our data cannot directly predict these ecological interactions, this study provides the basis for experiments targeted at understanding how selective regime affects composition, bacterial interaction, and fermentative performance in NWS.

Details

Title
Insights on the bacterial composition of Parmigiano Reggiano Natural Whey Starter by a culture-dependent and 16S rRNA metabarcoding portrait
Author
Sola, Laura 1 ; Quadu, Emanuele 1 ; Bortolazzo, Elena 2 ; Bertoldi, Loris 3 ; Randazzo, Cinzia L. 4 ; Pizzamiglio, Valentina 5 ; Solieri, Lisa 6 

 University of Modena and Reggio Emilia, Department of Life Sciences, Reggio Emilia, Italy (GRID:grid.7548.e) (ISNI:0000000121697570) 
 Centro Ricerche Produzioni Animali, Reggio Emilia, Italy (GRID:grid.423913.e) 
 BMR Genomics Srl, Padua, Italy (GRID:grid.432024.3) 
 University of Catania, Department of Agriculture, Food and Environment, Catania, Italy (GRID:grid.8158.4) (ISNI:0000 0004 1757 1969); ProBioEtna Srl, Catania, Italy (GRID:grid.8158.4) 
 Consorzio del Formaggio Parmigiano Reggiano, Reggio Emilia, Italy (GRID:grid.433295.a) 
 University of Modena and Reggio Emilia, Department of Life Sciences, Reggio Emilia, Italy (GRID:grid.7548.e) (ISNI:0000000121697570); NBFC, National Biodiversity Future Center, Palermo, Italy (GRID:grid.7548.e) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2724928364
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.