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• Proteobacteria, Firmicutes and Staphylococcus were the dominant bacterial phyla and genera of Nuodeng ham.
• Ascomycota, Basidiomycota and Aspergillus were the dominant fungal phyla and genera of Nuodeng ham.
• A total of 252 small molecule metabolites were identified and 12 were differential metabolites.
• 23 metabolic pathways were related to ham fermentation, and 8 metabolic pathways had significant effects.
The internal microbial diversity and small molecular metabolites of Nuodeng ham in different processing years (the first, second and third year sample) were analyzed by high-throughput sequencing technology and gas chromatography-time of flight mass spectrography (GC-TOF-MS) to study the effects of microorganisms and small molecular metabolites on the quality of ham in different processing years. The results showed that the dominant bacteria phyla of Nuodeng ham in different processing years were Proteobacteria and Firmicutes, the dominant fungi phyla were Ascomycota and Basidiomycota, while Staphylococcus and Aspergillus were the dominant bacteria and fungi of Nuodeng ham, respectively. Totally, 252 kinds of small molecular metabolites were identified from Nuodeng ham in different processing years, and 12 different metabolites were screened through multivariate statistical analysis. Further metabolic pathway analysis showed that 23 metabolic pathways were related to ham fermentation, of which 8 metabolic pathways had significant effects on ham fermentation (Impact > 0.01, P < 0.05). The content of L-proline, phenyllactic acid, L-lysine, carnosine, taurine, D-proline, betaine and creatine were significantly positively correlated with the relative abundance of Staphylococcus and Serratia, but negatively correlated with the relative abundance of Halomonas, Aspergillus and Yamadazyma.
K. Qian, Y. Bao, J.X. Zhu, et al., Development of a portable electronic nose based on a hybrid filter-wrapper method for identifying the Chinese dry-cured ham of different grades, J. Food Eng. 290 (2020) 110250. https://doi.org/10.1016/j.jfoodeng.2020.110250.
G. Di Vita, S. Blanc, F. Brun, et al., Quality attributes and harmful components of cured meats: exploring the attitudes of Italian consumers towards healthier cooked ham, Meat Sci. 155 (2019) 8-15. https://doi.org/10.1016/j.meatsci.2019.04.013.
S. Montoro-García, M.P. Zafrilla-Rentero, C.D. Haro, et al., Effects of dry-cured ham rich in bioactive peptides on cardiovascular health: a randomized controlled trial, J. Funct. Foods 38 (2017) 160-167. https://doi.org/10.1016/j.jff.2017.09.012.
S.Y. Liu, G.Y. Wang, Z.C. Xiao, et al., 1H-NMR-based water-soluble low molecular weight compound characterization and free fatty acid composition of five kinds of Yunnan dry-cured hams, LWT-Food Sci. Technol. 108 (2019) 174-182. https://doi.org/10.1016/j.lwt.2019.03.043.
M. Sugimoto, S. Obiya, M. Kaneko, et al., Metabolomic profiling as a possible reverse engineering tool for estimating processing conditions of dry-cured hams, J. Agr. Food Chem. 65(2) (2017) 402-410. https://doi.org/10.1021/acs.jafc.6b03844.
M. Flores, F. Toldra, Microbial enzymatic activities for improved fermented meats, Trends Food Sci. Technol. 22(2/3) (2011) 81-90. https://doi.org/10.1016/j.tifs.2010.09.007.
E. Salazar, J.M. Cayuela, A. Abellán, et al., Fatty acids and free amino acids changes during processing of a mediterranean native pig breed dry-cured ham, Foods 9(9) (2020) 1170. https://doi.org/10.3390/foods9091170.
Q.F. Ge, Y.B. Gu, W.G. Zhang, et al., Comparison of microbial communities from different Jinhua ham factories, AMB Express. 7(1) (2017) 37. https://doi.org/10.1186/s13568-017-0334-0.
L.L. Hinrichsen, S.B. Pedersen, Relationship among flavor, volatile compounds, chemical changes, and microflora in Italian-type dry-cured ham during processing, J. Agr. Food Chem. 43(11) (1995) 2932-2940. https://pubs.acs.org/doi/pdf/10.1021/jf00059a030.
Y.N. Shi, X. Li, A.X. Huang, A metabolomics-based approach investigates volatile flavor formation and characteristic compounds of the Dahe black pig dry-cured ham, Meat Sci. 158 (2019) 107904. https://doi.org/10.1016/j.meatsci.2019.107904.
J. Zhang, Y.F. Ye, Y. Sun, et al., 1H NMR and multivariate data analysis of the differences of metabolites in five types of dry-cured hams, Food Res. Int. 113 (2018) 140-148. https://doi.org/10.1016/j.foodres.2018.07.009.
J. Zhang, Y.Yi, D.D. Pan, et al., 1H NMR-based metabolomics profiling and taste of boneless dry-cured hams during processing, Food Res. Int. 122 (2019) 114-122. https://doi.org/10.1016/j.foodres.2019.04.005.
X.L. Ding, G.Y. Wang, Y.L. Zou, et al., Evaluation of small molecular metabolites and sensory properties of Xuanwei ham salted with partial replacement of NaCl by KCl, Meat Sci. 175 (2021) 108465. https://doi.org/10.1016/j.meatsci.2021.108465.
T. Magoč, S.L. Salzberg, FLASH: fast length adjustment of short reads to improve genome assemblies, Bioinformatics 27(21) (2011) 2957-2963. https://doi.org/10.1093/bioinformatics/btr507.
A.M. Bolger, M. Lohse, B. Usadel, Trimmomatic: a flexible trimmer for Illumina sequence data, Bioinformatics 30(15) (2014) 2114-2120. https://doi.org/10.1093/bioinformatics/btu170.
R.C. Edgar, B.J. Haas, J.C. Clemente, et al., UCHIME improves sensitivity and speed of chimera detection, Bioinformatics 27(16) (2011) 2194-2200. https://doi.org/10.1093/bioinformatics/btr381.
R. C. Edgar, UPARSE: highly accurate OTU sequences from microbial amplicon reads, Nat. Methods 10(10) (2013) 996-998. https://doi.org/10.1038/nmeth.2604.
T. Kind, G. Wohlgemuth, D.Y. Lee, et al., FiehnLib: mass spectral and retention index libraries for metabolomics based on quadrupole and time-of-flight gas chromatography/mass spectrometry, Anal. Chem. 81(24) (2009) 10038-10048. https://doi.org/10.1021/ac9019522.
C. Juarez-Castelan, I. Garcia-Cano, A. Escobar-Zepeda, et al., Evaluation of the bacterial diversity of Spanish-type chorizo during the ripening process using high-throughput sequencing and physicochemical characterization, Meat Sci. 150 (2019) 7-13.https://doi.org/10.1016/j.meatsci.2018.09.001.
Y. Mu, W. Su, Y.C. Mu, et al., Combined application of high-throughput sequencing and metabolomics reveals metabolically active microorganisms during panxian ham processing, Front. Microbiol. 10 (2020) 3012. https://doi.org/10.3389/fmicb.2019.03012.
S. Nie, L.H. Li, Y.Y. Wu, et al., Exploring the roles of microorganisms and metabolites in the fermentation of sea bass (Lateolabrax japonicas) based on high-throughput sequencing and untargeted metabolomics, LWT-Food Sci. Technol. 167 (2022) 113795. https://doi.org/10.1016/j.lwt.2022.113795.
Z.Z. Zou, G.J. Wang, Kushneria sinocarnis sp. nov., a moderately halophilic bacterium isolated from a Chinese traditional cured meat, Int. J. Syst. Evol. Microbiol. 60 (2010) 1881-1886. https://doi.org/10.1099/ijs.0.013797-0.
J.H. Yun, H. Sung, H.S. Kim, et al., Complete genome sequence of the halophile bacterium Kushneria konosiri X49T, isolated from salt-fermented Konosirus punctatus, Stand Genomic Sci. 13 (2018) 19. https://doi.org/10.1186/s40793-018-0324-0.
Y.B. Wang, F. Li, J. Chen, et al., High-throughput sequencing-based characterization of the predominant microbial community associated with characteristic flavor formation in Jinhua ham, Food Microbiol. 94 (2021) 103643. https://doi.org/10.1016/j.fm.2020.103643.
J.G. Liu, C.X. Lin, W. Zhang, et al., Exploring the bacterial community for starters in traditional high-salt fermented Chinese fish (Suanyu), Food Chem. 358 (2021) 129863. https://doi.org/10.1016/j.foodchem.2021.129863.
Y. Wang, Z.M. Wang, Q.L. Han, et al., Comprehensive insights into the evolution of microbiological and metabolic characteristics of the fat portion during the processing of traditional Chinese bacon, Food Res. Int. 155 (2022) 110987. https://doi.org/10.1016/j.foodres.2022.110987.
M. Rodríguez, F. Núñez, J.J. Córdoba, et al., Gram-positive, catalase-positive cocci from dry cured Iberian ham and their enterotoxigenic potential, App. Environ. Microb. 62(6) (1996) 1897-1902. https://doi.org/10.1128/aem.62.6.1897-1902.1996.
F.K. Lin, F. Cai, B.S. Luo, et al., Variation of microbiological and biochemical profiles of laowo dry-cured ham, an indigenous fermented food, during ripening by GC-TOF-MS and UPLC-QTOF-MS, J. Agr. Food Chem. 68(33) (2020) 8925-8935. https://doi.org/10.1021/acs.jafc.0c03254.
M.A. Gassem, Microbiological and chemical quality of a traditional salted-fermented fish (Hout-Kasef) productof Jazan region, Saudi Arabia, Saudi J. Biological Sci. 26(1) (2019) 137-140. https://doi.org/10.1016/j.sjbs.2017.04.003.
X.H. Wang, Y.L. Zhang, H.Y. Ren, et al., Comparison of bacterial diversity profiles and microbial safety assessment of salami, Chinese dry-cured sausage and Chinese smoked-cured sausage by high-throughput sequencing, LWT-Food Sci. Technol. 90 (2018) 108-115. https://doi.org/10.1016/j.lwt.2017.12.011.
L. Chen, Z.L. Wang, L.L. Ji, et al., Flavor composition and microbial community structure of Mianning ham, Front. Microbiol. 11 (2021) 623775. https://doi.org/10.3389/fmicb.2020.623775.
Q. Tang, G. He, J. Huang, et al., Characterizing relationship of microbial diversity and metabolite in Sichuan Xiaoqu, Front. Microbiol. 10 (2019) 696. https://doi.org/10.3389/fmicb.2019.00696.
S.B. Hong, D.H. Kim, R.A. Samson., Aspergillus associated with Meju, a fermented soybean starting material for traditional soy sauce and soybean paste in Korea, Mycobiol. 43(3) (2015) 218-224. https://doi.org/10.5941/MYCO.2015.43.3.218.
S. Digar, L.Sunmin, H.L. Choong, Metabolomics for empirical delineation of the traditional Korean fermented foods and beverages, Trends Food Sci. Technol. 61(2017) 103-115. https://doi.org/10.1016/j.tifs.2017.01.001.
R.J. Hao, X.D. Du, C.Y. Yang, et al., Integrated application of transcriptomics and metabolomics provides insights into unsynchronized growth in pearl oyster Pinctada fucata martensii, Sci. Total Environ. 666 (2019) 46-56. https://doi.org/10.1016/j.scitotenv.2019.02.221.
S.Y. Lee, S. Lee, S. Lee, et al., Primary and secondary metabolite profiling of doenjang, a fermented soybean paste during industrial processing, Food Chem. 165 (2014) 157-166. https://doi.org/10.1016/j.foodchem.2014.05.089.
Z.C. Xiao, Y.T. Luo, G.Y. Wang, et al., 1H NMR-based water-soluble lower molecule characterization and fatty acid composition of boiled Wuding chicken during processing, J. Sci Food Agr. 99(1) (2019) 429-435. https://doi.org/10.1002/jsfa.9204.
X. Feng, S.S. Hang, Y. Zhou, et al., Bromelain kinetics and mechanism on myofibril from golden pomfret (Trachinotus blochii), J. Food Sci. 83(8) (2018) 2148-2158. https://doi.org/10.1111/1750-3841.14212.
T. Nishimura, H. Kato, Taste of free amino acids and peptides, Food Rev. Int. 4(2) (1998) 175-194. https://doi.org/10.1080/87559128809540828.
Y.Q. Wang, C.S. Li, L.H. Li, et al., Application of UHPLC-Q/TOF-MS-based metabolomics in the evaluation of metabolites and taste quality of Chinese fish sauce (Yu-lu) during fermentation, Food Chem. 296 (2019) 132-141. https://doi.org/10.1016/j.foodchem.2019.05.043.
C.Y. Zhou, Y. Wang, J.X. Cao, et al., The effect of dry-cured salt contents on accumulation of non-volatile compounds during dry-cured goose processing, Poultry Sci. 95(9) (2016) 2160-2166. https://doi.org/10.3382/ps/pew128.
S.H. Kim, K.A. Lee, Evaluation of taste compounds in water-soluble extract of a doenjang (soybean paste), Food Chem. 83(3) (2003) 339-342. https://doi.org/10.1016/s0308-8146(03)00092-x.
Y.R. Guo, S.Q. Gu, X.C. Wang, et al., Nutrients and non-volatile taste compounds in Chinese mitten crab by-products, Fisheries Sci. 81(1) (2015) 193-203. https://doi.org/10.1007/s12562-014-0816-9.
M. Flores, M.C. Aristoy, A.M. Spanier, et al., Non-volatile components effects on quality of “Serrano” dry-cured ham as related to processing time, J. Food Sci. 62(6) (1997) 1235-1239. https://doi.org/10.1111/j.1365-2621.1997.tb12252.x.
G. Monin, P. Marinova, A. Talmant, et al., Chemical and structural changes in dry-cured hams (Bayonne hams) during processing and effects of the dehairing technique, Meat Sci. 47(1/2) (1997) 29-47. https://doi.org/10.1016/s0309-1740(97)00038-7.
Y.Y. Zhang, X.Y. Zhu, X.Z. Li, et al., The process-related dynamics of microbial community during a simulated fermentation of Chinese strong-flavored liquor, BMC Microbiol. 17(1) (2017) 196. https://doi.org/10.1186/s12866-017-1106-3.
Y. Takebe, M. Takizaki, H. Tanaka, et al., Evaluation of the biogenic amine-production ability of lactic acid bacteria isolated from Tofu-misozuke, Food Sci. Technol. Res. 22 (2016) 673-678. https://doi.org/10.3136/fstr.22.673.
N. Sabatini, M. R. Mucciarella, V. Marsilio, Volatile compounds in uninoculated and inoculated table olives with Lactobacillus plantarum (Oleaeuropaea L., cv. Moresca and Kalamata), LWT-Food Sci. Technol. 41 (2008) 2017-2022. https://doi.org/10.1016/j.lwt.2007.12.002.
J.M. Salgado, L. Abrunhosa, A. Venancio, et al., Combined bioremediation and enzyme production by Aspergillus sp. in olive mill and winery wastewaters, Int. Biodeter. Biodegra. 110 (2016) 16-23. https://doi.org/10.1016/j.ibiod.2015.12.011.
W.P. Hammes, C. Hertel, New developments in meat starter cultures, Meat Sci. 49 (1998) S125-S138. https://doi.org/10.1016/s0309-1740(98)90043-2.
X.H. Yang, Y. Li, J.H. Ma, et al., Comparative physiological and soil microbial community structural analysis revealed that selenium alleviates cadmium stress in Perilla frutescens, Front. Plant Sci. 13 (2022) 1022935. https://doi.org/10.3389/fpls.2022.1022935.
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