| Literature DB >> 34925267 |
Kai Zhou1,2,3, Xiao Zhang1, Bingyong Li1, Chaoqun Shen3, Yuan-Ming Sun2, Jianyuan Yang1, Zhen-Lin Xu2.
Abstract
Citrulline is one of the major precursors of ethyl carbamate in soy sauce, and the accumulation of citrulline is attributed to the metabolism of arginine by bacteria with the arginine deiminase (ADI) pathway. However, key strains and factors affecting citrulline accumulation are not yet clear. In this study, two key strains of Pediococcus acidilactici and Weissella confusa were isolated from soy sauce moromi, and the regularity of citrulline formation was studied. Results showed that the conversion rates from arginine to citrulline (A/C rate) and the citrulline accumulation ability of W. confusa and P. acidilactici significantly increased in the presence of different concentrations of NaCl, indicating that salt stress was the main factor for citrulline accumulation. The inconsistent expression of arc genes by salt stress was the reason for citrulline accumulation for P. acidilactici, but for W. confusa, it may be due to the influence of arginine/citrulline on the transportation system: the intracellular citrulline could neither transport to extracellular space nor convert into ornithine. Environmental factors greatly influenced citrulline accumulation of the two key bacteria; A/C rate and citrulline formation in both strains decreased at low temperature (15°C) under high salt stress, but opposite effects were observed for the two key strains under anaerobic light condition. Moreover, quercetin and gallic acid significantly decreased the A/C rate and citrulline accumulation ability of the two key strains. The optimal quercetin and gallic acid as suggested by simulation experiment were 100 and 10 mg/l, respectively, and the lowest A/C rate of 28.4% and citrulline level of 1326.7 mg/l were achieved in the simulation system. This study explored the main factors for citrulline formation by the two key strains and proposed a targeted way to control citrulline in soy sauce.Entities:
Keywords: Pediococcus acidilactici; Weissella confusa; arginine deiminase pathway; citrulline; ethyl carbamate; soy sauce
Year: 2021 PMID: 34925267 PMCID: PMC8678507 DOI: 10.3389/fmicb.2021.757542
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
The arginine consumption and citrulline accumulation ability of crucial bacteria in modified MRS broth.
| Strain | Arginine (mg/l) | Citrulline (mg/l) | |
| 717.3 ± 46.1 | 998.2 ± 70.7 | 30.2 | |
| 728.2 ± 16.4 | 424.5 ± 17.0 | 12.9 | |
| 970 ± 13.5 | 1,247 ± 128.4 | 40.9 | |
| 1,219 ± 40.7 | 525.7 ± 17.0 | 18.8 | |
| 878.2 ± 38.6 | 429.0 ± 12.8 | 13.7 | |
| 1,007.4 ± 33.0 | 627.0 ± 46.2 | 20.8 |
FIGURE 1The effect of medium condition [(A) urea, (B) glycerin, (C) glucose, (D) ethanol, (E) pH, and (F) NaCl] on citrulline accumulation of W. confusa and P. acidilactici (W5, W. confusa; P1, P. acidilactici; Arg, arginine; Cit, citrulline; similarly hereinafter).
FIGURE 2arc gene relative expression of P. acidilactici (A) and W. confusa (B) in the presence of different NaCl contents.
FIGURE 3Extracellular (A) and intercellular (B) amino acids of W. confusa in the presence of different NaCl contents.
FIGURE 4The effect of pH on arginine metabolism of W. confusa (A) and P. acidilactici (B) in the presence of 18% NaCl.
FIGURE 5The effect of temperature (A) and light and oxygen (B) on citrulline accumulated by W. confusa and P. acidilactici.
FIGURE 6The effect of phenolic compounds on citrulline accumulation of P. acidilactici (A) and W. confusa (B). * and ** means the significant difference (P < 0.05) and most significant difference (P < 0.01) in 72 h-Cit compared with control.
ANOVA for response surface quadratic model for CCD experiment (Pvalue).
| RV | Model | A | B | C | D | AB | AC | AD | BC | BD | CD | Lack of fit |
| 48 h-Arg | 0.76 | 0.99 | 0.11 | 0.54 | 0.66 | 0.64 | 0.86 | 0.84 | 0.68 | 0.75 | 0.13 | 0.97 |
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| 48 h-Cit | 0.16 | 0.45 | 0.02 | 0.93 | 0.32 | 0.37 | 0.9 | 0.88 | 0.11 | 0.06 | 0.88 | 0.82 |
| 7 days-Cit | <0.01 | 0.46 | <0.01 | 0.33 | 0.77 | 0.22 | 0.71 | 0.87 | 0.78 | 0.73 | 0.90 | <0.001 |
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| 48 h- | 0.47 | 0.64 | 0.40 | 0.74 | 0.24 | 0.33 | 0.95 | 0.62 | 0.09 | 0.07 | 0.32 | 0.56 |
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| 48 h- | 0.63 | 0.95 | 0.29 | 0.99 | 0.24 | 0.27 | 0.67 | 0.60 | 0.79 | 0.71 | 0.18 | 0.98 |
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RV, response value; A, pH; B, temperature; C, quercetin; D, gallic acid; Arg, arginine consumption; Cit, citrulline formation; Orn, ornithine formation. The bold values means that the five model could well fit the real data.
The relationship between predicted value and actual value of simulated moromi (n = 3).
| Citrulline (mg/l) | Ornithine (mg/l) | |||
| Predicted value (7 days) | – | 400.1 | 29.8 | 34.1 |
| Actual value (the optimal condition) | 1,326.7 ± 43.9 | 414.5 ± 9.9 | 28.4 | 33.9 |
| Actual value (absence of phenols) | 1,603.8 ± 30.3 | 386.3 ± 20.3 | 34.5 | 28.4 |
*Unavailable model.