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Zhang A, Zhang Z, Zhang K, Liu X, Lin X, Zhang Z, Bao T, Feng Z. Nutrient consumption patterns of Lactobacillus plantarum and their application in suancai. Int J Food Microbiol 2021; 354:109317. [PMID: 34225032 DOI: 10.1016/j.ijfoodmicro.2021.109317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 05/31/2021] [Accepted: 06/20/2021] [Indexed: 11/25/2022]
Abstract
The purpose of the present study was to control the fermentation time and nitrite content of suancai prepared with Lactobacillus plantarum. According to analyses of the consumption amount and rate of nutrients, growth-stimulating nutrients, essential nutrients and nutrients accelerating the fermentation process of suancai, Asp, Thr, Glu, Cys, Tyr, Mg2+, Mn2+ and inosine were selected as additions to suancai prepared with L. plantarum. The fermentation time and nitrite content of suancai supplemented with nutrients and prepared with L. plantarum were shortened by 2 days and 5 days and reduced by approximately 0.1-fold and 0.7-fold, respectively, compared with unsupplemented suancai prepared with L. plantarum at 25 °C and 10 °C. The fermentation time and nitrite content of suancai supplemented with nutrients and prepared with L. plantarum were shortened by 6 days and 15 days and reduced by approximately 0.17-fold and 0.8-fold, respectively, compared with suancai undergoing spontaneous fermentation at 25 °C and 10 °C. Furthermore, no significant differences were observed in sensory properties in suancai. The results of this study indicated that certain nutrients accelerated the growth of L. plantarum and reduced the fermentation time and nitrite content of suancai prepared with L. plantarum. These findings help to establish a foundation for the practical use of nutrients to control the fermentation of suancai.
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Affiliation(s)
- Ao Zhang
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, 600 Changjiang Road, Harbin 150030, Heilongjiang, China
| | - Zongcai Zhang
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, 600 Changjiang Road, Harbin 150030, Heilongjiang, China
| | - Kenan Zhang
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, 600 Changjiang Road, Harbin 150030, Heilongjiang, China
| | - Xin Liu
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, 600 Changjiang Road, Harbin 150030, Heilongjiang, China
| | - Xue Lin
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, 600 Changjiang Road, Harbin 150030, Heilongjiang, China
| | - Zhen Zhang
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, 600 Changjiang Road, Harbin 150030, Heilongjiang, China
| | - Tianyu Bao
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, 600 Changjiang Road, Harbin 150030, Heilongjiang, China
| | - Zhen Feng
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, 600 Changjiang Road, Harbin 150030, Heilongjiang, China.
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Guan Y, Hu W, Xu Y, Sarengaowa, Ji Y, Yang X, Feng K. Proteomic analysis validates previous findings on wounding-responsive plant hormone signaling and primary metabolism contributing to the biosynthesis of secondary metabolites based on metabolomic analysis in harvested broccoli (Brassica oleracea L. var. italica). Food Res Int 2021; 145:110388. [PMID: 34112391 DOI: 10.1016/j.foodres.2021.110388] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 04/08/2021] [Accepted: 05/02/2021] [Indexed: 10/21/2022]
Abstract
The plant wound-response is a complex process that generates physiological modifications for protecting the wounded tissue. In this study, tandem mass tag (TMT)-based quantitative proteomic analysis was performed to clarify the comprehensive molecular mechanism for the wound-response of broccoli subjected to two wounding intensities (0.04 and 1.85 m2 kg-1 for florets and shreds, respectively). Furthermore, integrated proteomic and metabolomic analysis was performed to reveal the interaction among the critical metabolic pathway responses to wounding. The results show that a total of 399 proteins and 266 proteins were identified as differentially expressed proteins (DEPs) in florets and shreds broccoli compared to control, respectively. Furthermore, 167 DEPs were detected in shreds broccoli compared to the florets broccoli. Salicylic acid (SA) and ethylene (ET) biosynthesis were more susceptible to being induced by wounding with lower intensities, whereas, phenylpropanoid biosynthesis, aliphatic glucosinolate synthesis and jasmonic acid (JA) biosynthesis were more susceptible to being activated by wounding with higher intensities. The activation of starch and sucrose metabolism, TCA cycle, glycolysis, pentose phosphate could provide carbon sources and ATP for the production of amino acids including phenylalanine, valine, threonine, isoleucine, L-methionine, methionine and histidine. The motivation of carbohydrate metabolic pathways and amino acid biosynthesis-related pathways promotes the precursor levels for phenolic substances and glucosinolate synthesis. Furthermore, the accumulation of SA, ET and JA may activated secondary metabolite biosynthesis through the regulation of critical proteins involved in the corresponding metabolic pathways.
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Affiliation(s)
- Yuge Guan
- School of Bioengineering, Dalian University of Technology, Dalian 116024, China
| | - Wenzhong Hu
- College of Life Science, Dalian Minzu University, Dalian 116600, China; Key Laboratory of Biotechnology and Bioesources Utilization, Ministry of Education, Dalian 116600, China.
| | - Yongping Xu
- School of Bioengineering, Dalian University of Technology, Dalian 116024, China
| | - Sarengaowa
- School of Bioengineering, Dalian University of Technology, Dalian 116024, China
| | - Yaru Ji
- School of Bioengineering, Dalian University of Technology, Dalian 116024, China
| | - Xiaozhe Yang
- School of Bioengineering, Dalian University of Technology, Dalian 116024, China
| | - Ke Feng
- College of Life Science, Dalian Minzu University, Dalian 116600, China; Key Laboratory of Biotechnology and Bioesources Utilization, Ministry of Education, Dalian 116600, China
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He J, Li F, Wang Y, Wu H, Yang H. Fermentation characteristics and bacterial dynamics during Chinese sauerkraut fermentation by Lactobacillus curvatus LC-20 under varied salt concentrations reveal its potential in low-salt suan cai production. J Biosci Bioeng 2021; 132:33-40. [PMID: 33865692 DOI: 10.1016/j.jbiosc.2021.03.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 03/16/2021] [Accepted: 03/17/2021] [Indexed: 11/29/2022]
Abstract
Salt profoundly affects the physicochemical properties and microbial abundance of fermented foods such as suan cai, a popular traditional fermented food in China. It is vital to systematically investigate the effects of salt concentrations on fermented suan cai for high fermentation quality and large-scale production. We elucidated the effects of salt concentrations on Lactobacillus curvatus (LC-20) and suan cai during fermentation, and found that salt (0-1%) favoured an increase in LC-20 growth and a decrease in pH (salt: 0-2%). For suan cai fermentation, the results from sensory scoring judged 1% salt treatment the highest. Salt concentration also affected the nitrite content of the fermentation system with peak nitrite values in low salt treatments being significantly higher on the first day, and gradually decreasing to similar levels. After fermentation, the total titratable acid and lactic acid concentrations in the 0-1% treatments were higher (p < 0.05) than those in 2-5% treatments. The colony forming units of lactic acid bacteria increased initially and then decreased after 6 d of fermentation. At the phylum level, Firmicutes and Proteobacteria were predominant in all treatments, and at the genus level, Lactobacillus dominated the fermentation. Other lactic acid bacteria such as Lactococcus and Weissella were also detected. Quantitative PCR showed DNA concentration of LC-20 at 0.5-2% salt treatments were higher than that in other treatments and L. curvatus was the dominant microorganism during fermentation. Hence, we conclude that L. curvatus could be used for suan cai product at low salt concentrations.
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Affiliation(s)
- Jiale He
- College of Life Sciences, Northeast Forestry University, Harbin, Heilongjiang 150036, China
| | - Fengzi Li
- College of Life Sciences, Northeast Forestry University, Harbin, Heilongjiang 150036, China
| | - Yan Wang
- College of Life Sciences, Northeast Forestry University, Harbin, Heilongjiang 150036, China
| | - Hao Wu
- College of Life Sciences, Northeast Forestry University, Harbin, Heilongjiang 150036, China
| | - Hongyan Yang
- College of Life Sciences, Northeast Forestry University, Harbin, Heilongjiang 150036, China.
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Song Q, Zhao F, Wang B, Han Y, Zhou Z. Metagenomic insights into Chinese northeast suancai: Predominance and diversity of genes associated with nitrogen metabolism in traditional household suancai fermentation. Food Res Int 2020; 139:109924. [PMID: 33509491 DOI: 10.1016/j.foodres.2020.109924] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 11/09/2020] [Accepted: 11/22/2020] [Indexed: 10/22/2022]
Abstract
Chinese northeast suancai represents a typical and valuable food product that has been handed down by traditional household procedures over centuries. Nitrite is formed and accumulated during the suancai fermentation process and commonly causes food safety problems. The biogeochemical cycle of nitrite may provide a reference and guidance for the enzymatic degradation of nitrite in fermented food. The potential nitrogen metabolic pathways in the microbially driven suancai fermentation were reasonably inferred through monitoring nitrogen conversions and detecting the genes of different functional enzymes. Complex microbial metabolism is responsible for the unique nitrogen conversions during suancai fermentation. The metagenomic results showed that Pseudomonas with nitrate reductase genes (narG, narH, narI) and nitrite reductase genes (nirB, nirD) contributed the most to both nitrite reduction and nitrate reduction. The majority of the sequences of nitrate reductase and nitrite reductase were derived from the families of Pseudomonadaceae, Erwiniaceae and Yersiniaceae. According to the physicochemical analysis, the nitrite concentration of the fermentation broth reached the peak value (0.48 mM) and gradually decreased to the minimum (0.02 mM). The downward trend of the pH and nitrite concentration were closely associated with the nitrite enzymatic degradation period before the acid degradation period. Our results indicated that nitrite removal in suancai fermentation involved the reduction of nitrite to ammonia and denitrification, which were mainly contributed by the reduction of nitrite to ammonia mediated by the nirB/nirD enzyme (Indentified ECs: 1.7.1.15). This research offers new insights into the metagenome-based bioinformatic roles of the previously unstudied microorganisms in spontaneous suancai fermentation for the enzymatic degradation of nitrite. It provides helpful basis for the detection and even elimination of nitrite in suancai and for improving the safety level of suancai.
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Affiliation(s)
- Qiaozhi Song
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, PR China
| | - Fangkun Zhao
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, PR China
| | - Binbin Wang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, PR China
| | - Ye Han
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, PR China.
| | - Zhijiang Zhou
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, PR China.
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