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Characterization of a broad spectrum bacteriocin produced by Lactobacillus plantarum MXG-68 from Inner Mongolia traditional fermented koumiss. Folia Microbiol (Praha) 2019; 64:821-834. [PMID: 30895557 DOI: 10.1007/s12223-019-00697-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 03/11/2019] [Indexed: 10/27/2022]
Abstract
An agar well diffusion assay (AWDA) was used to isolate a high bacteriocin-producing strain with a broad spectrum of antibacterial activity, strain MXG-68, from Inner Mongolia traditional fermented koumiss. Lactobacillus plantarum MXG-68 was identified by morphological, biochemical, and physiological characteristics and 16S rDNA analysis. The production of antibacterial substance followed a growth-interrelated model, starting at the late lag phase of 4 h and arriving at a maximum value in the middle of the stationary phase at 24 h. Antibacterial activity was abolished or decreased in the presence of pepsin, chymotrypsin, trypsin, proteinase, and papain K. The results showed that antibacterial substances produced by L. plantarum MXG-68 were proteinaceous and could thus be classified as the bacteriocin, named plantaricin MXG-68. The molar mass of plantaricin MXG-68 was estimated to be 6.5 kDa, and the amino acid sequence of its N-terminal was determined to be VYGPAGIFNT. The mode of plantaricin MXG-68 action was determined to be bactericidal. Bacteriocin in cell-free supernatant (CFS) at pH 7 was stable at different temperatures (60 °C, 80 °C, 100 °C, 121 °C for 30 min; 4 °C and - 20 °C for 30 days), as well as at pH 2.0-10.0. Antibacterial activity maintained stable after treatment with organic solvents, surfactants, and detergents but increased in response to EDTA. Response surface methodology (RSM) revealed the optimum conditions of bacteriocin production in L. plantarum MXG-68, and the bacteriocin production in medium optimized by RSM was 26.10% higher than that in the basal MRS medium.
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Li J, Zheng Y, Xu H, Xi X, Hou Q, Feng S, Wuri L, Bian Y, Yu Z, Kwok LY, Sun Z, Sun T. Bacterial microbiota of Kazakhstan cheese revealed by single molecule real time (SMRT) sequencing and its comparison with Belgian, Kalmykian and Italian artisanal cheeses. BMC Microbiol 2017; 17:13. [PMID: 28068902 PMCID: PMC5223556 DOI: 10.1186/s12866-016-0911-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2016] [Accepted: 12/10/2016] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND In Kazakhstan, traditional artisanal cheeses have a long history and are widely consumed. The unique characteristics of local artisanal cheeses are almost completely preserved. However, their microbial communities have rarely been reported. The current study firstly generated the Single Molecule, Real-Time (SMRT) sequencing bacterial diversity profiles of 6 traditional artisanal cheese samples of Kazakhstan origin, followed by comparatively analyzed the microbiota composition between the current dataset and those from cheeses originated from Belgium, Russian Republic of Kalmykia (Kalmykia) and Italy. RESULTS Across the Kazakhstan cheese samples, a total of 238 bacterial species belonging to 14 phyla and 140 genera were identified. Lactococcus lactis (28.93%), Lactobacillus helveticus (26.43%), Streptococcus thermophilus (12.18%) and Lactobacillus delbrueckii (12.15%) were the dominant bacterial species for these samples. To further evaluate the cheese bacterial diversity of Kazakhstan cheeses in comparison with those from other geographic origins, 16S rRNA datasets of 36 artisanal cheeses from Belgium, Russian Republic of Kalmykia (Kalmykia) and Italy were retrieved from public databases. The cheese bacterial microbiota communities were largely different across sample origins. By principal coordinate analysis (PCoA) and multivariate analysis of variance (MANOVA), the structure of the Kazakhstan artisanal cheese samples was found to be different from those of the other geographic origins. Furthermore, the redundancy analysis (RDA) identified 16 bacterial OTUs as the key variables responsible for such microbiota structural difference. CONCLUSION Our results together suggest that the diversity of bacterial communities in different groups is stratified by geographic region. This study does not only provide novel information on the bacterial microbiota of traditional artisanal cheese of Kazakhstan at species level, but also interesting insights into the bacterial diversity of artisanal cheeses of various geographical origins.
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Affiliation(s)
- Jing Li
- Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Yi Zheng
- Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Haiyan Xu
- Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Xiaoxia Xi
- Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Qiangchuan Hou
- Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Shuzhen Feng
- Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Laga Wuri
- Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Yanfei Bian
- Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Zhongjie Yu
- Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Lai-Yu Kwok
- Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Zhihong Sun
- Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Tiansong Sun
- Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China.
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Nejati F, Babaei M, Taghi-Zadeh A. Characterisation ofLactobacillus helveticusstrains isolated from home-made dairy products in Iran. INT J DAIRY TECHNOL 2015. [DOI: 10.1111/1471-0307.12223] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Fatemeh Nejati
- Department of Food Science and Technology; Agriculture Faculty; Shahrekord Branch; Islamic Azad University; Shahrekord Iran
| | - Mahdi Babaei
- Department of Animal Sciences; Agriculture Faculty; Shahrekord Branch; Islamic Azad University; Shahrekord Iran
| | - Alam Taghi-Zadeh
- Department of Food Science and Technology; Agriculture Faculty; Shahrekord Branch; Islamic Azad University; Shahrekord Iran
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Mu Z, Yang X, Yuan H. Detection and identification of wild yeast in Koumiss. Food Microbiol 2012; 31:301-8. [DOI: 10.1016/j.fm.2012.04.004] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2011] [Revised: 04/01/2012] [Accepted: 04/03/2012] [Indexed: 11/29/2022]
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Lee CM, Sieo CC, Cheah YK, Abdullah N, Ho YW. Discrimination of probiotic Lactobacillus strains for poultry by repetitive sequenced-based PCR fingerprinting. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2012; 92:660-666. [PMID: 21919004 DOI: 10.1002/jsfa.4627] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2011] [Revised: 04/30/2011] [Accepted: 07/14/2011] [Indexed: 05/31/2023]
Abstract
BACKGROUND Four repetitive element sequence-based polymerase chain reaction (rep-PCR) methods, namely repetitive extragenic palindromic PCR (REP-PCR), enterobacterial repetitive intergenic consensus PCR (ERIC-PCR), polytrinucleotide (GTG)₅ -PCR and BOX-PCR, were evaluated for the molecular differentiation of 12 probiotic Lactobacillus strains previously isolated from the gastrointestinal tract of chickens and used as a multistrain probiotic. This study represents the first analysis of the comparative efficacy of these four rep-PCR methods and their combination (composite rep-PCR) in the molecular typing of Lactobacillus strains based on a discriminatory index (D). RESULTS Species-specific and strain-specific profiles were observed from rep-PCR. From the numerical analysis of composite rep-PCR, BOX-PCR, (GTG)₅ -PCR, REP-PCR and ERIC-PCR, D values of 0.9118, 0.9044, 0.8897, 0.8750 and 0.8529 respectively were obtained. Composite rep-PCR analysis was the most discriminative method, with eight Lactobacillus strains, namely L. brevis ATCC 14869(T) , L. reuteri C 10, L. reuteri ATCC 23272(T) , L. gallinarum ATCC 33199(T) , L. salivarius ATCC 11741(T) , L. salivarius I 24, L. panis JCM 11053(T) and L. panis C 17, being differentiated at the strain level. CONCLUSION Composite rep-PCR analysis is potentially a useful fingerprinting method to discriminate probiotic Lactobacillus strains isolated from the gastrointestinal tract of chickens.
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Affiliation(s)
- Chin Mei Lee
- Laboratory of Industrial Biotechnology, Institute of Bioscience, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
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Cebeci A, Gürakan GC. Comparative typing of L. delbrueckii subsp. bulgaricus strains using multilocus sequence typing and RAPD–PCR. Eur Food Res Technol 2011. [DOI: 10.1007/s00217-011-1526-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Aquilanti L, Carbini A, Strappati R, Santarelli S, Silvestri G, Garofalo C, Clementi F. Characterisation of Lactobacillus helveticus strains producing antihypertensive peptides by RAPD and inverse-PCR of IS elements. Benef Microbes 2010; 1:229-42. [DOI: 10.3920/bm2010.0015] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Lactobacillus helveticus is used for the manufacture of cheeses and milk-based products. Although it is not considered a probiotic microorganism, some strains demonstrated beneficial effects through the production of antihypertensive peptides from the hydrolysis of casein during milk fermentation. Strain-specificity of bioactive peptide production by L. helveticus makes the availability of reliable typing methods essential for both legal and good manufacturing processes. Accordingly, RAPD and inverse-PCR of five insertion sequence elements were comparatively evaluated for the molecular characterisation of four L. helveticus dairy cultures producing antihypertensive peptides and fourteen reference strains. Calculation of discriminatory indices and cluster analysis of the DNA fingerprints confirmed the suitability of both approaches for acceptable strain differentiation. Although RAPD was more discriminating, for a few test strains a neat discrimination was only achieved through multiplex inverse-PCR, thus suggesting the suitability of a combined analytical approach for a finer strain discrimination.
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Affiliation(s)
- L. Aquilanti
- Sezione di Microbiologia Alimentare, Ambientale ed Industriale, Dipartimento di Scienze Alimentari, Agro-Ingegneristiche, Fisiche, Economico-Agrarie e del Territorio (SAIFET), Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy
| | - A. Carbini
- Sezione di Microbiologia Alimentare, Ambientale ed Industriale, Dipartimento di Scienze Alimentari, Agro-Ingegneristiche, Fisiche, Economico-Agrarie e del Territorio (SAIFET), Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy
| | - R. Strappati
- Sezione di Microbiologia Alimentare, Ambientale ed Industriale, Dipartimento di Scienze Alimentari, Agro-Ingegneristiche, Fisiche, Economico-Agrarie e del Territorio (SAIFET), Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy
| | - S. Santarelli
- Sezione di Microbiologia Alimentare, Ambientale ed Industriale, Dipartimento di Scienze Alimentari, Agro-Ingegneristiche, Fisiche, Economico-Agrarie e del Territorio (SAIFET), Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy
| | - G. Silvestri
- Sezione di Microbiologia Alimentare, Ambientale ed Industriale, Dipartimento di Scienze Alimentari, Agro-Ingegneristiche, Fisiche, Economico-Agrarie e del Territorio (SAIFET), Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy
| | - C. Garofalo
- Sezione di Microbiologia Alimentare, Ambientale ed Industriale, Dipartimento di Scienze Alimentari, Agro-Ingegneristiche, Fisiche, Economico-Agrarie e del Territorio (SAIFET), Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy
| | - F. Clementi
- Sezione di Microbiologia Alimentare, Ambientale ed Industriale, Dipartimento di Scienze Alimentari, Agro-Ingegneristiche, Fisiche, Economico-Agrarie e del Territorio (SAIFET), Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy
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