Metatranscriptomics reveals temperature-driven functional changes in microbiome impacting cheese maturation rate

被引:133
作者
De Filippis, Francesca [1 ]
Genovese, Alessandro [1 ]
Ferranti, Pasquale [1 ]
Gilbert, Jack A. [2 ,3 ,4 ,5 ,6 ]
Ercolini, Danilo [1 ]
机构
[1] Univ Naples Federico II, Dept Agr Sci, Via Univ 100, I-80055 Portici, Italy
[2] Argonne Natl Lab, Biosci Div BIO, 9700 S Cass Ave, Argonne, IL 60439 USA
[3] Univ Chicago, Dept Ecol & Evolut, 940 E 57Th St, Chicago, IL 60637 USA
[4] Univ Chicago, Dept Surg, 5841 S Maryland Ave, Chicago, IL 60637 USA
[5] Univ Chicago, Inst Genom & Syst Biol, Chicago, IL 60637 USA
[6] Marine Biol Lab, Woods Hole, MA 02543 USA
关键词
LACTIC-ACID BACTERIA; CACIOCAVALLO PUGLIESE CHEESE; DIVERSITY; LACTOBACILLI; STRAINS; SYSTEMS;
D O I
10.1038/srep21871
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Traditional cheeses harbour complex microbial consortia that play an important role in shaping typical sensorial properties. However, the microbial metabolism is considered difficult to control. Microbial community succession and the related gene expression were analysed during ripening of a traditional Italian cheese, identifying parameters that could be modified to accelerate ripening. Afterwards, we modulated ripening conditions and observed consistent changes in microbial community structure and function. We provide concrete evidence of the essential contribution of non-starter lactic acid bacteria in ripening-related activities. An increase in the ripening temperature promoted the expression of genes related to proteolysis, lipolysis and amino acid/lipid catabolism and significantly increases the cheese maturation rate. Moreover, temperature-promoted microbial metabolisms were consistent with the metabolomic profiles of proteins and volatile organic compounds in the cheese. The results clearly indicate how processing-driven microbiome responses can be modulated in order to optimize production efficiency and product quality.
引用
收藏
页数:11
相关论文
共 48 条
[1]  
Banks J, 2007, WOODHEAD PUBL FOOD S, P520, DOI 10.1533/9781845693053.4.520
[2]   CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].
BENJAMINI, Y ;
HOCHBERG, Y .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300
[3]   QIIME allows analysis of high-throughput community sequencing data [J].
Caporaso, J. Gregory ;
Kuczynski, Justin ;
Stombaugh, Jesse ;
Bittinger, Kyle ;
Bushman, Frederic D. ;
Costello, Elizabeth K. ;
Fierer, Noah ;
Pena, Antonio Gonzalez ;
Goodrich, Julia K. ;
Gordon, Jeffrey I. ;
Huttley, Gavin A. ;
Kelley, Scott T. ;
Knights, Dan ;
Koenig, Jeremy E. ;
Ley, Ruth E. ;
Lozupone, Catherine A. ;
McDonald, Daniel ;
Muegge, Brian D. ;
Pirrung, Meg ;
Reeder, Jens ;
Sevinsky, Joel R. ;
Tumbaugh, Peter J. ;
Walters, William A. ;
Widmann, Jeremy ;
Yatsunenko, Tanya ;
Zaneveld, Jesse ;
Knight, Rob .
NATURE METHODS, 2010, 7 (05) :335-336
[4]   Zooming into food-associated microbial consortia: a 'cultural' evolution [J].
Cocolin, Luca ;
Ercolini, Danilo .
CURRENT OPINION IN FOOD SCIENCE, 2015, 2 :43-50
[5]   Survey of lactic acid bacteria during the ripening of Caciocavallo cheese produced in Molise [J].
Coppola, R ;
Succi, M ;
Sorrentino, E ;
Iorizzo, M ;
Grazia, L .
LAIT, 2003, 83 (03) :211-222
[6]   SolexaQA: At-a-glance quality assessment of Illumina second-generation sequencing data [J].
Cox, Murray P. ;
Peterson, Daniel A. ;
Biggs, Patrick J. .
BMC BIOINFORMATICS, 2010, 11
[7]  
Davis C., 2015, J Data Mining Genomics Proteomics, V4, DOI DOI 10.4172/2153-0602.1000135
[8]   The Same Microbiota and a Potentially Discriminant Metabolome in the Saliva of Omnivore, Ovo-Lacto-Vegetarian and Vegan Individuals [J].
De Filippis, Francesca ;
Vannini, Lucia ;
La Storia, Antonietta ;
Laghi, Luca ;
Piombino, Paola ;
Stellato, Giuseppina ;
Serrazanetti, Diana I. ;
Gozzi, Giorgia ;
Turroni, Silvia ;
Ferrocino, Ilario ;
Lazzi, Camilla ;
Di Cagno, Raffaella ;
Gobbetti, Marco ;
Ercolini, Danilo .
PLOS ONE, 2014, 9 (11)
[9]   A Selected Core Microbiome Drives the Early Stages of Three Popular Italian Cheese Manufactures [J].
De Filippis, Francesca ;
La Storia, Antonietta ;
Stellato, Giuseppina ;
Gatti, Monica ;
Ercolini, Danilo .
PLOS ONE, 2014, 9 (02)
[10]   Microbial Ecology Dynamics Reveal a Succession in the Core Microbiota Involved in the Ripening of Pasta Filata Caciocavallo Pugliese Cheese [J].
De Pasquale, Ilaria ;
Di Cagno, Raffaella ;
Buchin, Solange ;
De Angelis, Maria ;
Gobbetti, Marco .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2014, 80 (19) :6243-6255