Journal of Microbiology

Journal Articles

Probiotic supplements alleviate gestational diabetes mellitus by restoring the diversity of gut microbiota: a study based on 16S rRNA sequencing: Qing-Xiang Zheng , Xiu-Min Jiang , Hai-Wei Wang , Li Ge , Yu-Ting Lai , Xin-Yong Jiang , Fan Chen , Ping-Ping Huang; J. Microbiol. 2021;59(9):827-839. Published online August 12, 2021; DOI: https://doi.org/10.1007/s12275-021-1094-8

60 View
0 Download
15 Web of Science
15 Crossref

Probiotics effectively prevent and improve metabolic diseases such as diabetes by regulating the intestinal microenvironment and gut microbiota. However, the effects of probiotics in gestational diabetes mellitus are not clear. Here, we showed that probiotic supplements significantly improved fasting blood glucose in a gestational diabetes mellitus rat model. To further understand the mechanisms of probiotics in gestational diabetes mellitus, the gut microbiota were analyzed via 16S rRNA sequencing. We found that compared with the normal pregnant group, the gestational diabetes mellitus rats had decreased diversity of gut microbiota. Moreover, probiotic supplementation restored the diversity of the gut microbiota in gestational diabetes mellitus rats, and the gut microbiota structure tended to be similar to that of normal pregnant rats. In particular, compared with gestational diabetes mellitus rats, the abundance of Firmicutes and Actinobacteria was higher after probiotic supplementation. Furthermore, activating carbohydrate metabolism and membrane transport pathways may be involved in the potential mechanisms by which probiotic supplements alleviate gestational diabetes mellitus. Overall, our results suggested that probiotic supplementation might be a novel approach to restore the gut microbiota of gestational diabetes mellitus rats and provided an experimental evidence for the use of probiotic supplements to treat gestational diabetes melitus.

Citations

Citations to this article as recorded by

Dietary Polyphenols Support Akkermansia muciniphila Growth via Mediation of the Gastrointestinal Redox Environment
Charlene B. Van Buiten, Valerie A. Seitz, Jessica L. Metcalf, Ilya Raskin
Antioxidants.2024; 13(3): 304. CrossRef
The Intervention of Probiotics on Type 2 Diabetes Mellitus in Animal Models
Qianyu Qu, Penggang He, Yuqi Zhang, Shujuan Yang, Peibin Zeng
Molecular Nutrition & Food Research.2024;[Epub] CrossRef
Lactobacillus gasseri BNR17 and Limosilactobacillus fermentum ABF21069 Ameliorate High Sucrose-Induced Obesity and Fatty Liver via Exopolysaccharide Production and β-oxidation
Yu Mi Jo, Yoon Ji Son, Seul-Ah Kim, Gyu Min Lee, Chang Won Ahn, Han-Oh Park, Ji-Hyun Yun
Journal of Microbiology.2024; 62(10): 907. CrossRef
Probiotic therapy as a promising strategy for gestational diabetes mellitus management
Deborah Emanuelle de Albuquerque Lemos, José Luiz de Brito Alves, Evandro Leite de Souza
Expert Opinion on Biological Therapy.2024; 24(11): 1207. CrossRef
Influence of Symbiotic Fermentation Broth on Regulating Metabolism with Gut Microbiota and Metabolite Profiles Is Estimated Using a Third-Generation Sequencing Platform
Chih-Yin Wu, Chun-Kai Huang, Wei-Sheng Hong, Yin-Hsiu Liu, Ming-Chi Shih, Jung-Chun Lin
Metabolites.2023; 13(9): 999. CrossRef
Neuroprotective Effect of Ponicidin Alleviating the Diabetic Cognitive Impairment: Regulation of Gut Microbiota
Xiaojuan Zhang, Feng Guo, Dujuan Cao, Yinan Yan, Ning Zhang, Kaili Zhang, Xinyi Li, Prashant Kumar, Xiaojuan Zhang
Applied Biochemistry and Biotechnology.2023; 195(2): 735. CrossRef
Antidiabetogenic mechanisms of probiotic action in food matrices: A review
Vanessa Moraes Ramalho Castro, Rosa Helena Luchese
PharmaNutrition.2022; 21: 100302. CrossRef
Prepregnancy body mass index and gestational weight gain are associated with maternal and infant adverse outcomes in Chinese women with gestational diabetes
Qing-Xiang Zheng, Hai-Wei Wang, Xiu-Min Jiang, Yan Lin, Gui-Hua Liu, Mian Pan, Li Ge, Xiao-Qian Chen, Jing-Ling Wu, Xiao-Yun Zhang, Yu-Qing Pan, Hong-Gu He
Scientific Reports.2022;[Epub] CrossRef
Probiotic Intervention in the Treatment of Diabetes Mellitus: A Review
Navya Sreepathi, M.K. Jayanthi, S. Jagadeep Chandra, Shrisha Naik Bajpe, Ramith Ramu
Journal of Pure and Applied Microbiology.2022; 16(3): 1519. CrossRef
Ameliorative Effects of Bifidobacterium animalis subsp. lactis J-12 on Hyperglycemia in Pregnancy and Pregnancy Outcomes in a High-Fat-Diet/Streptozotocin-Induced Rat Model
Jianjun Yang, Yumeng Ma, Tong Li, Yuanxiang Pang, Hongxing Zhang, Yuanhong Xie, Hui Liu, Yanfang Sun, Jianhua Ren, Junhua Jin
Nutrients.2022; 15(1): 170. CrossRef
Probiotic Mechanisms Affecting Glucose Homeostasis: A Scoping Review
Maša Pintarič, Tomaž Langerholc
Life.2022; 12(8): 1187. CrossRef
The Roles of Probiotics in the Gut Microbiota Composition and Metabolic Outcomes in Asymptomatic Post-Gestational Diabetes Women: A Randomized Controlled Trial
Zubaidah Hasain, Raja Affendi Raja Ali, Hajar Fauzan Ahmad, Ummul Fahri Abdul Rauf, Seok Fang Oon, Norfilza Mohd Mokhtar
Nutrients.2022; 14(18): 3878. CrossRef
Changes in the Gut Metabolic Profile of Gestational Diabetes Mellitus Rats Following Probiotic Supplementation
Qing-Xiang Zheng, Hai-Wei Wang, Xiu-Min Jiang, Li Ge, Yu-Ting Lai, Xin-Yong Jiang, Ping-Ping Huang, Fan Chen, Xiao-Qian Chen
Frontiers in Microbiology.2022;[Epub] CrossRef
Microorganisms in the reproductive system and probiotic's regulatory effects on reproductive health
Tao Feng, Yan Liu
Computational and Structural Biotechnology Journal.2022; 20: 1541. CrossRef
Several Shaping Characteristics of OneCurve Continuously Rotating System versus Three Different Kinematic Systems: ProTaper Universal, Twisted File Adaptive and WaveOne Gold
Ali Türkyılmaz, Volkan Arıkan
Meandros Medical and Dental Journal.2022; 23(1): 67. CrossRef

Genetic diversity and population structure of the amylolytic yeast Saccharomycopsis fibuligera associated with Baijiu fermentation in China: Ju-Wei Wang , Pei-Jie Han , Da-Yong Han , Sen Zhou , Kuan Li , Peng-Yu He , Pan Zhen , Hui-Xin Yu , Zhen-Rong Liang , Xue-Wei Wang , Feng-Yan Bai; J. Microbiol. 2021;59(8):753-762. Published online July 5, 2021; DOI: https://doi.org/10.1007/s12275-021-1115-7

45 View
0 Download
15 Web of Science
14 Crossref

Abstract

The amylolytic yeast Saccharomycopsis fibuligera is a predominant species in starters and the early fermentation stage of Chinese liquor (Baijiu). However, the genetic diversity of the species remains largely unknown. Here we sequenced the genomes of 97 S. fibuligera strains from different Chinese Baijiu companies. The genetic diversity and population structure of the strains were analyzed based on 1,133 orthologous genes and the whole genome single nucleotide polymorphisms (SNPs). Four main lineages were recognized. One lineage contains 60 Chinese strains which are exclusively homozygous with relatively small genome sizes (18.55–18.72 Mb) and low sequence diversity. The strains clustered in the other three lineages are heterozygous with larger genomes (21.85–23.72 Mb) and higher sequence diversity. The genomes of the homozygous strains showed nearly 100% coverage with the genome of the reference strain KPH12 and the sub-genome A of the hybrid strain KJJ81 at the above 98% sequence identity level. The genomes of the heterozygous strains showed nearly 80% coverage with both the sub-genome A and the whole genome of KJJ81, suggesting that the Chinese heterozygous strains are also hybrids with nearly 20% genomes from an unidentified source. Eighty-three genes were found to show significant copy number variation between different lineages. However, remarkable lineage specific variations in glucoamylase and α-amylase activities and growth profiles in different carbon sources and under different environmental conditions were not observed, though strains exhibiting relatively high glucoamylase activity were mainly found from the homozygous lineage.

Citations

Citations to this article as recorded by

Isolation of Saccharomycopsis species from plant material
Carmen Dost, Florian Michling, Davies Kaimenyi, Mareike Rij, Jürgen Wendland
Microbiological Research.2024; 283: 127691. CrossRef
Microbial enzymes: the bridge between Daqu flavor and microbial communities
Zelong Zhong, Tianyi Liu, Kaiping He, Min Zhong, Xiaoxue Chen, Yansong Xue, Beizhong Han, Diqiang Wang, Jun Liu
Food Innovation and Advances.2024; 3(4): 426. CrossRef
Exploring the heterogeneity of community and function and correspondence of “species-enzymes” among three types of Daqu with different fermentation peak-temperature via high-throughput sequencing and metagenomics
Ying Huang, Dong Li, Yu Mu, Zhiyu Zhu, Yuzhang Wu, Qi Qi, Yingchun Mu, Wei Su
Food Research International.2024; 176: 113805. CrossRef
Deciphering the core microbes and their interactions in spontaneous Baijiu fermentation: A comprehensive review
Jiamu Kang, Xiaoning Huang, Rengshu Li, Yuandi Zhang, Xiao-Xue Chen, Bei-Zhong Han
Food Research International.2024; 188: 114497. CrossRef
Correlational analysis of physicochemical indexes, microbial communities, and volatile components in light-flavor Daqu from north and south regions of China
Qi Yu, Feiyan Mou, Junwen Xiao, Cheng Zhan, Liang Li, Xu Chang, Xiaoyuan Dong, Maobin Chen, Xinrui Wang, Mei Chen, Shangling Fang
World Journal of Microbiology and Biotechnology.2024;[Epub] CrossRef
Dynamic changes in volatile profiles and bacterial communities during natural fermentation of Mei yu, traditional Chinese fermented fish pieces
Hongmei Yin, Qiang Hong, Xiang Yu, Hui Wang, Xiaodan Shi, Wei Liu, Tao Yuan, Zongcai Tu
Food Research International.2024; 194: 114882. CrossRef
Exploring the relationship between GuaYi levels and microbial-metabolic dynamics in Daqu
Boyang Xu, Shanshan Xu, Hao Zhou, Ruijuan Wang, Chao Jiang, Dongdong Mu, Xuefeng Wu, Xiaolei Wu, Shaotong Jiang, Xingjiang Li
Food Bioscience.2024; 60: 104347. CrossRef
Exploring the Role of Active Functional Microbiota in Flavor Generation by Integrated Metatranscriptomics and Metabolomics during Niulanshan Baijiu Fermentation
Yuanyuan Pan, Ying Wang, Wenjun Hao, Sen Zhou, Chengbao Duan, Qiushi Li, Jinwang Wei, Gang Liu
Foods.2023; 12(22): 4140. CrossRef
Dynamic changes and correlations of microbial communities, physicochemical properties, and volatile metabolites during Daqu fermentation of Taorong-type Baijiu
Yanbo Liu, Haideng Li, Shumei Dong, Zhou Zhou, Zhenke Zhang, Runna Huang, Suna Han, Jianguang Hou, Chunmei Pan
LWT.2023; 173: 114290. CrossRef
The differences in carbohydrate utilization ability between six rounds of Sauce-flavor Daqu
Qi Zhu, Liangqiang Chen, Zheng Peng, Qiaoling Zhang, Wanqiu Huang, Fan Yang, Guocheng Du, Juan Zhang, Li Wang
Food Research International.2023; 163: 112184. CrossRef
Microbial Community Affects Daqu Quality and the Production of Ethanol and Flavor Compounds in Baijiu Fermentation
Pei-Jie Han, Lu-Jun Luo, Ying Han, Liang Song, Pan Zhen, Da-Yong Han, Yu-Hua Wei, Xin Zhou, Zhang Wen, Jun-Zhi Qiu, Feng-Yan Bai
Foods.2023; 12(15): 2936. CrossRef
Comparison of physicochemical characteristics and microbiome profiles of low-temperature Daqu with and without adding tartary buckwheat
Jiamu Kang, Liangliang Jia, Zhongxiao Zhang, Min Zhang, Xiaoning Huang, Xiaoxue Chen, Bei-Zhong Han
Food Bioscience.2022; 49: 101931. CrossRef
What Are the Main Factors That Affect the Flavor of Sauce-Aroma Baijiu
Jiao Niu, Shiqi Yang, Yi Shen, Wei Cheng, Hehe Li, Jinyuan Sun, Mingquan Huang, Baoguo Sun
Foods.2022; 11(21): 3534. CrossRef
Insights into the bacterial, fungal, and phage communities and volatile profiles in different types of Daqu
Jiamu Kang, Xiaoxue Chen, Bei-Zhong Han, Yansong Xue
Food Research International.2022; 158: 111488. CrossRef

STATR: A simple analysis pipeline of Ribo-Seq in bacteria: Donghui Choe , Bernhard Palsson , Byung-Kwan Cho; J. Microbiol. 2020;58(3):217-226. Published online January 28, 2020; DOI: https://doi.org/10.1007/s12275-020-9536-2

49 View
0 Download
7 Web of Science
8 Crossref

Abstract

Gene expression changes in response to diverse environmental stimuli to regulate numerous cellular functions. Genes are expressed into their functional products with the help of messenger RNA (mRNA). Thus, measuring levels of mRNA in cells is important to understand cellular functions. With advances in next-generation sequencing (NGS), the abundance of cellular mRNA has been elucidated via transcriptome sequencing. However, several studies have found a discrepancy between mRNA abundance and protein levels induced by translational regulation, including different rates of ribosome entry and translational pausing. As such, the levels of mRNA are not necessarily a direct representation of the protein levels found in a cell. To determine a more precise way to measure protein expression in cells, the analysis of the levels of mRNA associated with ribosomes is being adopted. With an aid of NGS techniques, a single nucleotide resolution footprint of the ribosome was determined using a method known as Ribo- Seq or ribosome profiling. This method allows for the highthroughput measurement of translation in vivo, which was further analyzed to determine the protein synthesis rate, translational pausing, and cellular responses toward a variety of environmental changes. Here, we describe a simple analysis pipeline for Ribo-Seq in bacteria, so-called simple translatome analysis tool for Ribo-Seq (STATR). STATR can be used to carry out the primary processing of Ribo-Seq data, subsequently allowing for multiple levels of translatome study, from experimental validation to in-depth analyses. A command- by-command explanation is provided here to allow a broad spectrum of biologists to easily reproduce the analysis.

Citations

Citations to this article as recorded by

Translation in Bacillus subtilis is spatially and temporally coordinated during sporulation
Olga Iwańska, Przemysław Latoch, Natalia Kopik, Mariia Kovalenko, Małgorzata Lichocka, Remigiusz Serwa, Agata L. Starosta
Nature Communications.2024;[Epub] CrossRef
Comparative Transcriptome Analysis of Zerumbone-Treated Helicobacter pylori
Hyun Jun Woo, Ji Yeong Yang, Sa-Hyun Kim
Microbiology and Biotechnology Letters.2022; 50(2): 301. CrossRef
Synthetic 3′-UTR valves for optimal metabolic flux control in Escherichia coli
Donghui Choe, Kangsan Kim, Minjeong Kang, Seung-Goo Lee, Suhyung Cho, Bernhard Palsson, Byung-Kwan Cho
Nucleic Acids Research.2022; 50(7): 4171. CrossRef
Comparative Transcriptome Analysis of Caryophyllene- Treated Helicobacter pylori
Hyun Jun Woo, Ji Yeong Yang, Hye Jin Kwon, Hyun Woo Kim, Sa-Hyun Kim, Jong-Bae Kim
Microbiology and Biotechnology Letters.2021;[Epub] CrossRef
RiboRid: A low cost, advanced, and ultra-efficient method to remove ribosomal RNA for bacterial transcriptomics
Donghui Choe, Richard Szubin, Saugat Poudel, Anand Sastry, Yoseb Song, Yongjae Lee, Suhyung Cho, Bernhard Palsson, Byung-Kwan Cho, Lefu Lan
PLOS Genetics.2021; 17(9): e1009821. CrossRef
Omics-based microbiome analysis in microbial ecology: from sequences to information
Jang-Cheon Cho
Journal of Microbiology.2021; 59(3): 229. CrossRef
HRIBO: high-throughput analysis of bacterial ribosome profiling data
Rick Gelhausen, Sarah L Svensson, Kathrin Froschauer, Florian Heyl, Lydia Hadjeras, Cynthia M Sharma, Florian Eggenhofer, Rolf Backofen, Valencia Alfonso
Bioinformatics.2021; 37(14): 2061. CrossRef
User guides for biologists to learn computational methods
Dokyun Na
Journal of Microbiology.2020; 58(3): 173. CrossRef

Research Support, Non-U.S. Gov't

Functional Analysis of the Invariant Residue G791 of Escherichia coli 16S rRNA: Woo-Seok Song , Hong-Man Kim , Jae-Hong Kim , Se-Hoon Sim , Sang-Mi Ryou , Sanggoo Kim , Chang-Jun Cha , Philip R. Cunningham , Jeehyeon Bae , Kangseok Lee; J. Microbiol. 2007;45(5):418-421.; DOI: https://doi.org/2595 [pii]

37 View
0 Download

Abstract: The nucleotide at position 791(G791) of E. coli 16S rRNA was previously identified as an invariant residue for ribosomal function. In order to characterize the functional role of G791, base substitutions were introduced at this position, and mutant ribosomes were analyzed with regard to their protein synthesis ability, via the use of a specialized ribosome system. These ribosomal RNA mutations attenuated the ability of ribosomes to conduct protein synthesis by more than 65%. A transition mutation (G to A) exerted a moderate effect on ribosomal function, whereas a transversion mutation (G to C or U) resulted in a loss of protein synthesis ability of more than 90%. The sucrose gradient profiles of ribosomes and primer extension analysis showed that the loss of protein-synthesis ability of mutant ribosomes harboring a base substitution from G to U at position 791 stems partially from its inability to form 70S ribosomes. These findings show the involvement of the nucleotide at position 791 in the association of ribosomal subunits and protein synthesis steps after 70S formation, as well as the possibility of using 16S rRNA mutated at position 791 for the selection of second-site revertants in order to identify ligands that interact with G791 in protein synthesis.

First
Prev
Page of 1
Next
Last

Search