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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
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  • 15 Web of Science
  • 15 Crossref
AbstractAbstract
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.

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  • 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
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
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  • 7 Web of Science
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AbstractAbstract
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

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  • 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
Cyanobacterial biodiversity of semiarid public drinking water supply reservoirs assessed via next-generation DNA sequencing technology
Adriana Sturion Lorenzi , Mathias Ahii Chia , Fabyano Alvares Cardoso Lopes , Genivaldo Gueiros Z. Silva , Robert A. Edwards , Maria do Carmo Bittencourt-Oliveira
J. Microbiol. 2019;57(6):450-460.   Published online May 27, 2019
DOI: https://doi.org/10.1007/s12275-019-8349-7
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  • 15 Web of Science
  • 12 Crossref
AbstractAbstract
Next-generation DNA sequencing technology was applied to generate molecular data from semiarid reservoirs during well-defined seasons. Target sequences of 16S-23S rRNA ITS and cpcBA-IGS were used to reveal the taxonomic groups of cyanobacteria present in the samples, and genes coding for cyanotoxins such as microcystins (mcyE), saxitoxins (sxtA), and cylindrospermopsins (cyrJ) were investigated. The presence of saxitoxins in the environmental samples was evaluated using ELISA kit. Taxonomic analyses of high-throughput DNA sequencing data showed the dominance of the genus Microcystis in Mundaú reservoir. Furthermore, it was the most abundant genus in the dry season in Ingazeira reservoir. In the rainy season, 16S-23S rRNA ITS analysis revealed that Cylindrospermopsis raciborskii comprised 46.8% of the cyanobacterial community in Ingazeira reservoir, while the cpcBAIGS region revealed that C. raciborskii (31.8%) was the most abundant taxon followed by Sphaerospermopsis aphanizomenoides (17.3%) and Planktothrix zahidii (16.6%). Despite the presence of other potential toxin-producing genera, the detected sxtA gene belonged to C. raciborskii, while the mcyE gene belonged to Microcystis in both reservoirs. The detected mcyE gene had good correlation with MC content, while the amplification of the sxtA gene was related to the presence of STX. The cyrJ gene was not detected in these samples. Using DNA analyses, our results showed that the cyanobacterial composition of Mundaú reservoir was similar in successive dry seasons, and it varied between seasons in Ingazeira reservoir. In addition, our data suggest that some biases of analysis influenced the cyanobacterial communities seen in the NGS output of Ingazeira reservoir.

Citations

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  • Unveiling the trifecta of cyanobacterial quorum sensing: LuxI, LuxR and LuxS as the intricate machinery for harmful algal bloom formation in freshwater ecosystems
    Vajagathali Mohammed, Jesu Arockiaraj
    Science of The Total Environment.2024; 924: 171644.     CrossRef
  • Correlations Between Spatiotemporal Variations in Phytoplankton Community Structure and Physicochemical Parameters in the Seungchon and Juksan Weirs
    Hyeonsu Chung, Misun Son, Taesung Kim, Jonghwan Park, Won-Seok Lee
    Water.2024; 16(20): 2976.     CrossRef
  • Comparison of the phytoplankton community compositions between the temperate reservoir and the downstream river areas of the Han River, Korea
    Yeon-Su Lee, Taehee Kim, Buhari Lawan Muhammad, Jang-Seu Ki
    Journal of Freshwater Ecology.2023;[Epub]     CrossRef
  • Assessing Freshwater Microbiomes from Different Storage Sources in the Caribbean Using DNA Metabarcoding
    Joseph Cross, Prasanna Honnavar, Xegfred Quidet, Travis Butler, Aparna Shivaprasad, Linroy Christian
    Microorganisms.2023; 11(12): 2945.     CrossRef
  • Unbiased analyses of ITS folding motifs in a taxonomically confusing lineage: Anagnostidinema visiae sp. nov. (cyanobacteria)
    Callahan A. McGovern, Alyson R. Norwich, Aimee L. Thomas, Sarah E. Hamsher, Bopaiah A. Biddanda, Anthony D. Weinke, Dale A. Casamatta
    Journal of Phycology.2023; 59(3): 619.     CrossRef
  • Subacute and sublethal ingestion of microcystin-LR impairs lung mitochondrial function by an oligomycin-like effect
    Flávia Muniz de Mesquita, Dahienne Ferreira de Oliveira, Dayene de Assis Fernandes Caldeira, João Paulo Cavalcante de Albuquerque, Leonardo Matta, Caroline Coelho de Faria, Itanna Isis Araujo de Souza, Christina Maeda Takiya, Rodrigo Soares Fortunato, Jos
    Environmental Toxicology and Pharmacology.2022; 93: 103887.     CrossRef
  • Characterization of Bacterial Communities from the Surface and Adjacent Bottom Layers of Water in the Billings Reservoir
    Marta Angela Marcondes, Andrezza Nascimento, Rodrigo Pessôa, Jefferson Russo Victor, Alberto José da Silva Duarte, Patricia Bianca Clissa, Sabri Saeed Sanabani
    Life.2022; 12(8): 1280.     CrossRef
  • Scarus spinus, crustose coralline algae and cyanobacteria: an example of dietary specialization in the parrotfishes
    Georgina M. Nicholson, Kendall D. Clements
    Coral Reefs.2022; 41(5): 1465.     CrossRef
  • Shotgun metagenomic sequencing reveals the full taxonomic, trophic, and functional diversity of a coral reef benthic cyanobacterial mat from Bonaire, Caribbean Netherlands
    Ethan C. Cissell, Sophie J. McCoy
    Science of The Total Environment.2021; 755: 142719.     CrossRef
  • Disentangling the drivers of Microcystis decomposition: Metabolic profile and co-occurrence of bacterial community
    Shengnan Chen, Miaomiao Yan, Tinglin Huang, Hui Zhang, Kaiwen Liu, Xin Huang, Nan Li, Yutian Miao, Raju Sekar
    Science of The Total Environment.2020; 739: 140062.     CrossRef
  • Effect of acute exposure of saxitoxin on development of zebrafish embryos (Danio rerio)
    Guoliang Chen, Zimu Jia, Linping Wang, Tingzhang Hu
    Environmental Research.2020; 185: 109432.     CrossRef
  • The presence of microcystins in the coastal waters of Nigeria, from the Bights of Bonny and Benin, Gulf of Guinea
    Medina O Kadiri, Solomon Isagba, Jeffrey U Ogbebor, Osasere A. Omoruyi, Timothy E. Unusiotame-Owolagba, Adriana Sturion Lorenzi, Maria do Carmo Bittencourt-Oliveira, Mathias Ahii Chia
    Environmental Science and Pollution Research.2020; 27(28): 35284.     CrossRef
Review
[MINIREVIEW] Progress of analytical tools and techniques for human gut microbiome research
Eun-Ji Song , Eun-Sook Lee , Young-Do Nam
J. Microbiol. 2018;56(10):693-705.   Published online September 28, 2018
DOI: https://doi.org/10.1007/s12275-018-8238-5
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  • 45 Crossref
AbstractAbstract
Massive DNA sequencing studies have expanded our insights and understanding of the ecological and functional characteristics of the gut microbiome. Advanced sequencing technologies allow us to understand the close association of the gut microbiome with human health and critical illnesses. In the future, analyses of the gut microbiome will provide key information associating with human individual health, which will help provide personalized health care for diseases. Numerous molecular biological analysis tools have been rapidly developed and employed for the gut microbiome researches; however, methodological differences among researchers lead to inconsistent data, limiting extensive share of data. It is therefore very essential to standardize the current
method
ologies and establish appropriate pipelines for human gut microbiome research. Herein, we review the methods and procedures currently available for studying the human gut microbiome, including fecal sample collection, metagenomic DNA extraction, massive DNA sequencing, and data analyses with bioinformatics. We believe that this review will contribute to the progress of gut microbiome research in the clinical and practical aspects of human health.

Citations

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  • Efficacy of a Postbiotic Formulation Combined With Microneedling for Mild‐to‐Moderate Acne: A Self‐Control Study
    Zhanhong Li, Peihui Li, Yu Xu, Changqing Yan, Xiufen Ma, Huiying Wang, Hong Cheng, Jing Zeng, Ting Li, Xinxian Li, Jia Zhou, Jie Zhang, Jianfeng Zhou, Rongya Yang, Yan Wu, Li Li, Wei Lai, Jiangyun Zhao, Zhe Liu, Qiong Meng
    Journal of Cosmetic Dermatology.2025;[Epub]     CrossRef
  • Changes in the Gastrointestinal Microbiota Induced by Proton Pump Inhibitors—A Review of Findings from Experimental Trials
    Reidar Fossmark, Maya Olaisen
    Microorganisms.2024; 12(6): 1110.     CrossRef
  • Deciphering the gut microbiome: The revolution of artificial intelligence in microbiota analysis and intervention
    Mohammad Abavisani, Alireza Khoshrou, Sobhan Karbas Foroushan, Negar Ebadpour, Amirhossein Sahebkar
    Current Research in Biotechnology.2024; 7: 100211.     CrossRef
  • From the Gut to the Brain: Is Microbiota a New Paradigm in Parkinson’s Disease Treatment?
    Cristiana Vilela, Bruna Araújo, Carla Soares-Guedes, Rita Caridade-Silva, Joana Martins-Macedo, Catarina Teixeira, Eduardo D. Gomes, Cristina Prudêncio, Mónica Vieira, Fábio G. Teixeira
    Cells.2024; 13(9): 770.     CrossRef
  • Gut Microbiome in Alzheimer’s Disease: from Mice to Humans
    Chang Liang, Resel Pereira, Yan Zhang, Olga L. Rojas
    Current Neuropharmacology.2024; 22(14): 2314.     CrossRef
  • Comparative Analysis of Healthy Gut Microbiota in German and Korean Populations: Insights from Large-Scale Cohort Studies
    Min Kee Son, Yuri Song, Jin Chung, Hee Sam Na
    Microbiology Research.2023; 15(1): 109.     CrossRef
  • Changes in the microbiota of the upper airways and intestine in the treatment of acute respiratory infections in preschool children
    Tatiana I. Kurdyukova, Olga N. Krasnorutskaya, Daniil Yu. Bugrimov, Artem N. Shevtsov
    Russian Pediatric Journal.2023; 23(2): 95.     CrossRef
  • Factors Affecting Gut Microbiota of Puppies from Birth to Weaning
    Fatemeh Balouei, Bruno Stefanon, Sandy Sgorlon, Misa Sandri
    Animals.2023; 13(4): 578.     CrossRef
  • Culturing the Human Oral Microbiota, Updating Methodologies and Cultivation Techniques
    Saber Khelaifia, Pilliol Virginie, Souad Belkacemi, Herve Tassery, Elodie Terrer, Gérard Aboudharam
    Microorganisms.2023; 11(4): 836.     CrossRef
  • Influence of Microbiota on Vaccine Effectiveness: “Is the Microbiota the Key to Vaccine-induced Responses?”
    So-Hee Hong
    Journal of Microbiology.2023; 61(5): 483.     CrossRef
  • gutMDisorder v2.0: a comprehensive database for dysbiosis of gut microbiota in phenotypes and interventions
    Changlu Qi, Yiting Cai, Kai Qian, Xuefeng Li, Jialiang Ren, Ping Wang, Tongze Fu, Tianyi Zhao, Liang Cheng, Lei Shi, Xue Zhang
    Nucleic Acids Research.2023; 51(D1): D717.     CrossRef
  • The impact of environmental toxins on the animal gut microbiome and their potential to contribute to disease
    Dinesh Nalage, Tejswini Sontakke, Ashwini Biradar, Vinod Jogdand, Ravindra Kale, Sanjay Harke, Rahul Kale, Prashant Dixit
    Food Chemistry Advances.2023; 3: 100497.     CrossRef
  • Fecal and cloacal microbiomes of cold-stunned loggerhead Caretta caretta, Kemp’s ridley Lepidochelys kempii, and green sea turtles Chelonia mydas
    ZR Forbes, AK Scro, SH Patel, KM Dourdeville, RL Prescott, RM Smolowitz
    Endangered Species Research.2023; 50: 93.     CrossRef
  • A Two-Step Single Plex PCR Method for Evaluating Key Colonic Microbiota Markers in Young Mexicans with Autism Spectrum Disorders: Protocol and Pilot Epidemiological Application
    Julián Herrera-Mejía, Rocío Campos-Vega, Abraham Wall-Medrano, Florinda Jiménez-Vega
    Diagnostics.2023; 13(14): 2387.     CrossRef
  • Effect of Concurrent Training on Body Composition and Gut Microbiota in Postmenopausal Women with Overweight or Obesity
    MARINE DUPUIT, MÉLANIE RANCE, CLAIRE MOREL, PATRICE BOUILLON, AUDREY BOSCARO, VINCENT MARTIN, EMILIE VAZEILLE, NICOLAS BARNICH, BENOIT CHASSAING, NATHALIE BOISSEAU
    Medicine & Science in Sports & Exercise.2022; 54(3): 517.     CrossRef
  • Using integrated meta-omics to appreciate the role of the gut microbiota in epilepsy
    Lucia Boeri, Francesca Donnaloja, Marzia Campanile, Lorenzo Sardelli, Marta Tunesi, Federica Fusco, Carmen Giordano, Diego Albani
    Neurobiology of Disease.2022; 164: 105614.     CrossRef
  • The gut microbiota as a biomarker in epilepsy
    Emilio Russo
    Neurobiology of Disease.2022; 163: 105598.     CrossRef
  • Developing whole cell standards for the microbiome field
    Chrysi Sergaki, Saba Anwar, Martin Fritzsche, Ryan Mate, Robert J. Francis, Kirsty MacLellan-Gibson, Alastair Logan, Gregory C. A. Amos
    Microbiome.2022;[Epub]     CrossRef
  • Changes in Vaginal Microbiome Diversity in Women With Polycystic Ovary Syndrome
    Chaoyi Lu, Hui Wang, Jihong Yang, Xinyue Zhang, Yao Chen, Ruizhi Feng, Yun Qian
    Frontiers in Cellular and Infection Microbiology.2021;[Epub]     CrossRef
  • High-throughput 16S rDNA sequencing assisting in the detection of bacterial pathogen candidates: a fatal case of necrotizing fasciitis in a child
    Dong Qu, Dong-Fang Qiao, Michael Klintschar, Zhi Qu, Xia Yue
    International Journal of Legal Medicine.2021; 135(2): 399.     CrossRef
  • Standardization of microbiome studies for urolithiasis: an international consensus agreement
    Naveen Kachroo, Dirk Lange, Kristina L. Penniston, Joshua Stern, Gregory Tasian, Petar Bajic, Alan J. Wolfe, Mangesh Suryavanshi, Andrea Ticinesi, Tiziana Meschi, Manoj Monga, Aaron W. Miller
    Nature Reviews Urology.2021; 18(5): 303.     CrossRef
  • The Mammalian Metaorganism: A Holistic View on How Microbes of All Kingdoms and Niches Shape Local and Systemic Immunity
    Solveig Runge, Stephan Patrick Rosshart
    Frontiers in Immunology.2021;[Epub]     CrossRef
  • Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health
    Kirsten Berding, Klara Vlckova, Wolfgang Marx, Harriet Schellekens, Catherine Stanton, Gerard Clarke, Felice Jacka, Timothy G Dinan, John F Cryan
    Advances in Nutrition.2021; 12(4): 1239.     CrossRef
  • Interrogation of the perturbed gut microbiota in gouty arthritis patients through in silico metabolic modeling
    Michael A. Henson
    Engineering in Life Sciences.2021; 21(7): 489.     CrossRef
  • A comprehensive review for gut microbes: technologies, interventions, metabolites and diseases
    Changlu Qi, Ping Wang, Tongze Fu, Minke Lu, Yiting Cai, Xu Chen, Liang Cheng
    Briefings in Functional Genomics.2021; 20(1): 42.     CrossRef
  • Metagenomics Approaches to Investigate the Gut Microbiome of COVID-19 Patients
    Sofia Sehli, Imane Allali, Rajaa Chahboune, Youssef Bakri, Najib Al Idrissi, Salsabil Hamdi, Chakib Nejjari, Saaïd Amzazi, Hassan Ghazal
    Bioinformatics and Biology Insights.2021;[Epub]     CrossRef
  • Potential role of the skin microbiota in Inflammatory skin diseases
    Pan Chen, Guangwen He, Jingru Qian, Yi Zhan, Rong Xiao
    Journal of Cosmetic Dermatology.2021; 20(2): 400.     CrossRef
  • Current ocular microbiome investigations limit reproducibility and reliability: Critical review and opportunities
    Erin M. Scott, Andrew C. Lewin, Marina L. Leis
    Veterinary Ophthalmology.2021; 24(1): 4.     CrossRef
  • Mining microbes for mental health: Determining the role of microbial metabolic pathways in human brain health and disease
    Simon Spichak, Thomaz F.S. Bastiaanssen, Kirsten Berding, Klara Vlckova, Gerard Clarke, Timothy G. Dinan, John F. Cryan
    Neuroscience & Biobehavioral Reviews.2021; 125: 698.     CrossRef
  • Interactions between immune system and the microbiome of skin, blood and gut in pathogenesis of rosacea
    Marie Isolde Joura, Alexandra Brunner, Éva Nemes-Nikodém, Miklós Sárdy, Eszter Ostorházi
    Acta Microbiologica et Immunologica Hungarica.2021; 68(1): 1.     CrossRef
  • The gut microbiome in drug‐resistant epilepsy
    Simela Chatzikonstantinou, Georgia Gioula, Vasilios K. Kimiskidis, Jack McKenna, Ioannis Mavroudis, Dimitrios Kazis
    Epilepsia Open.2021; 6(1): 28.     CrossRef
  • Estimating included animal species in mixed crude drugs derived from animals using massively parallel sequencing
    Hiroaki Nakanishi, Katsumi Yoneyama, Masaaki Hara, Aya Takada, Kazuyuki Saito
    Scientific Reports.2021;[Epub]     CrossRef
  • Effects of Xylo-Oligosaccharide on the Gut Microbiota of Patients With Ulcerative Colitis in Clinical Remission
    Zongwei Li, Zhengpeng Li, Liying Zhu, Ning Dai, Gang Sun, Lihua Peng, Xin Wang, Yunsheng Yang
    Frontiers in Nutrition.2021;[Epub]     CrossRef
  • Recent advances in modulating the microbiome
    Eamonn M.M Quigley, Prianka Gajula
    F1000Research.2020; 9: 46.     CrossRef
  • Tools for Analysis of the Microbiome
    Jessica Galloway-Peña, Blake Hanson
    Digestive Diseases and Sciences.2020; 65(3): 674.     CrossRef
  • The potential role of interventions impacting on gut-microbiota in epilepsy
    Luigi F Iannone, Maria Gómez-Eguílaz, Rita Citaro, Emilio Russo
    Expert Review of Clinical Pharmacology.2020; 13(4): 423.     CrossRef
  • State of the Art in the Culture of the Human Microbiota: New Interests and Strategies
    Maryam Tidjani Alou, Sabrina Naud, Saber Khelaifia, Marion Bonnet, Jean-Christophe Lagier, Didier Raoult
    Clinical Microbiology Reviews.2020;[Epub]     CrossRef
  • Database limitations for studying the human gut microbiome
    Camila K Dias, Robert Starke, Victor S. Pylro, Daniel K. Morais
    PeerJ Computer Science.2020; 6: e289.     CrossRef
  • Machine learning methods for microbiome studies
    Junghyun Namkung
    Journal of Microbiology.2020; 58(3): 206.     CrossRef
  • Gut Microbiome Reveals Specific Dysbiosis in Primary Osteoporosis
    Zhiming Xu, Zheng Xie, Jianguang Sun, Shilei Huang, Yangyang Chen, Chengxiang Li, Xing Sun, Bicheng Xia, Lingyang Tian, Caijuan Guo, Feng Li, Guofu Pi
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Journal Article
Calculibacillus koreensis gen. nov., sp. nov., an anaerobic Fe(III)-reducing bacterium isolated from sediment of mine tailings
Ui-Gi Min , So-Jeong Kim , Heeji Hong , Song-Gun Kim , Joo-Han Gwak , Man-Young Jung , Jong-Geol Kim , Jeong-Geol Na , Sung-Keun Rhee
J. Microbiol. 2016;54(6):413-419.   Published online May 27, 2016
DOI: https://doi.org/10.1007/s12275-016-6086-8
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AbstractAbstract
A strictly anaerobic bacterium, strain B5T, was isolated from sediment of an abandoned coal mine in Taebaek, Republic of Korea. Cells of strain B5T were non-spore-forming, straight, Gram-positive rods. The optimum pH and temperature for growth were pH 7.0 and 30°C, respectively, while the strain was able to grow within pH and temperature ranges of 5.5– 7.5 and 25–45°C, respectively. Growth of strain B5T was observed at NaCl concentrations of 0 to 6.0% (w/v) with an optimum at 3.0–4.0% (w/v). The polar lipids consisted of phosphatidylethanolamine, phosphatidylglycerol, an unknown phospholipid and three unknown polar lipids. Strain B5T grew anaerobically by reducing nitrate, nitrite, ferric-citrate, ferric-nitrilotriacetate, elemental sulfur, thiosulfate, and anthraquinone- 2-sulfonate in the presence of proteinaceous compounds, organic acids, and carbohydrates as electron donors. The isolate was not able to grow by fermentation. Strain B5T did not grow under aerobic or microaerobic conditions. Phylogenetic analysis based on 16S rRNA gene sequences showed that strain B5T is most closely related to the genus Tepidibacillus (T. fermentans STGHT; 96.3%) and Vulcanibacillus (V. modesticaldus BRT; 94.6%). The genomic DNA G+C content (36.9 mol%) of strain B5T was higher than those of T. fermentans STGHT (34.8 mol%) and V. modesticaldus BRT (34.5 mol%). Based on its phenotypic, chemotaxonomic, and phylogenetic properties, we describe a new species of a novel genus Calculibacillus, represented by strain B5T (=KCTC 15397T =JCM 19989T), for which we propose the name Calculibacillus koreensis gen. nov., sp. nov.

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  • Bacillales: From Taxonomy to Biotechnological and Industrial Perspectives
    Sharareh Harirchi, Taner Sar, Mohaddaseh Ramezani, Habibu Aliyu, Zahra Etemadifar, Seyed Ali Nojoumi, Fatemeh Yazdian, Mukesh Kumar Awasthi, Mohammad J. Taherzadeh
    Microorganisms.2022; 10(12): 2355.     CrossRef
  • List of new names and new combinations that have appeared in effective publications outside of the IJSEM and are submitted for valid publication
    Aharon Oren, George M. Garrity
    International Journal of Systematic and Evolutionary Microbiology .2019;[Epub]     CrossRef
  • Complete genome sequence of Clostridium perfringens CBA7123 isolated from a faecal sample from Korea
    Yeon Bee Kim, Joon Yong Kim, Hye Seon Song, Changsu Lee, Joseph Kwon, Jisu Kang, Jin-Kyu Rhee, Myeong Seon Jeong, Young-Do Nam, Seong Woon Roh
    Gut Pathogens.2017;[Epub]     CrossRef
Research Support, Non-U.S. Gov'ts
Fungal Community Associated with Genetically Modified Poplar During Metal Phytoremediation
Moonsuk Hur , Young Woon Lim , Jae Jeong Yu , Se Uk Cheon , Young Im Choi , Seok-Hwan Yoon , Sang-Cheol Park , Dong-Il Kim , Hana Yi
J. Microbiol. 2012;50(6):910-915.   Published online December 30, 2012
DOI: https://doi.org/10.1007/s12275-012-2491-9
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  • 12 Scopus
AbstractAbstract
Due to the increasing demand for phytoremediation, many transgenic poplars have been developed to enhance the bioremediation of heavy metals. However, structural changes to indigenous fungal communities by genetically modified organisms (GMO) presents a major ecological issue, due to the important role of fungi for plant growth in natural environments. To evaluate the effect of GM plant use on environmental fungal soil communities, extensive sequencing-based community analysis was conducted, while controlling the influence of plant clonality, plant age, soil condition, and harvesting season. The rhizosphere soils of GM and wild type (WT) poplars at a range of growth stages were sampled together with unplanted, contaminated soil, and the fungal community structures were investigated by pyrosequencing the D1/D2 region of the 28S rRNA gene. The results show that the overall structure of the rhizosphere fungal community was not significantly influenced by GM poplars. However, the presence of GM specific taxa, and faster rate of community change during poplar growth, appeared to be characteristic of the GM plant-induced effects on soil-born fungal communities. The results of this study provide additional information about the potential effects of GM poplar trees aged 1.5–3 years, on the soil fungal community.
Scopulibacillus darangshiensis gen. nov., sp. nov., Isolated from Rock
Soon Dong Lee , Dong Wan Lee
J. Microbiol. 2009;47(6):710-715.   Published online February 4, 2010
DOI: https://doi.org/10.1007/s12275-009-0111-0
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  • 11 Scopus
AbstractAbstract
A novel, Gram-positive bacterium, designated DLS-06T, was isolated from scoria (volcanic ash) under rock on the peak of small mountain (300 m above the sea level; known as Darangshi Oreum) in Jeju, Republic of Korea. The cells of the isolate were aerobic, oxidase-negative, catalase-positive, endospore- forming, non-motile rods. The organism grew at 25~30°C and initial pH 6.1~9.1. A neighbour-joining tree based on 16S rRNA gene sequences showed that the organism was related to members of the family “Sporolactobacillaceae” and related taxa. The phylogenetic neighbours were Pullulanibacillus naganoensis (95.2% 16S rRNA gene sequence similarity), Tuberibacillus calidus (95.0%) and Sporolactobacillus (91.8~94.2%). Levels of 16S rRNA gene sequence similarity of the isolate to representatives of other genera were in the range of 87.2~93.7%. The organism contained meso-diaminopimelic acid as the diagnostic diamino acid in the cell-wall peptidoglycan. The predominant menaquinone was MK-7. The polar lipid profile contained diphosphatidylglycerol, phosphatidylglycerol, an unknown ninhydrin-positive phospholipid, three unknown phospholipids and an unknown lipid. The major fatty acids were anteiso-C15:0 and anteiso-C17:0. The G+C content of the DNA was 50.8 mol%. On the basis of the phenotypic and phylogenetic data presented in this study, this organism represents a novel genus and species in the order Bacillales, for which the name Scopulibacillus darangshiensis gen. nov., sp. nov. is proposed. The type strain is DLS-06T (=DSM 19377T =KCTC 13161T).
Bacterial Diversity at Different Depths in Lead-Zinc Mine Tailings as Revealed by 16S rRNA Gene Libraries
Han-Bo Zhang , Wen Shi , Ming-Xia Yang , Tao Sha , Zhi-Wei Zhao
J. Microbiol. 2007;45(6):479-484.
DOI: https://doi.org/2648 [pii]
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AbstractAbstract
Bacterial communities at 10 cm, 100 cm, and 200 cm depths in a 100-year-old lead-zinc tailing heap were evaluated by constructing 16S rRNA gene libraries. In total, 98 operational taxonomic units (OTUs) were identified from 193 clones at a 3% sequence difference level. The OTU number and species richness decreased with the depth. Species composition was significantly different between the three libraries. Fifty-seven percent of the examined clones were Acidobacteria and 27% belonged to Proteobacteria. Other sequences included Chloroflexi, Firmicutes, Chlamydiae, Actinobacteria, Gemmatimonadetes, Nitrospira, and three unclassified OTUs. Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria, Firmicutes, and Actinobacteria were mainly distributed in the rhizosphere of naturally colonizing plants; however, Deltaproteobacteria, Acidobacteria, and Chloroflexi tended to inhabit the deeper tailings (below the 100 cm-depth).
Differential Response of Etiolated Pea Seedlings to Inoculation with Rhizobacteria Capable of Utilizing 1-Aminocyclopropane-1-Carboxylate or L-Methionine
Baby Shaharoona , Muhammad Arshad , Azeem Khalid
J. Microbiol. 2007;45(1):15-20.
DOI: https://doi.org/2497 [pii]
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AbstractAbstract
The majority of soil microorganisms can derive ethylene from L-methionine (L-MET), while some rhizobacteria can hydrolyze 1-aminocyclopropane-1-carboxylate (ACC) due to their ACC-deaminase activity. In this study, three strains having either ACC-deaminase activity (Pseudomonas putida biotype A, A7), or the ability to produce ethylene from L-MET (Acinetobacter calcoaceticus, M9) or both (Pseudomonas fluorescens, AM3) were used for inoculation. The highly ethylene specific bioassay of a classical “triple” response in pea seedlings was used to investigate the effect of the inoculation with the rhizobacteria in the presence of 10 mM ACC or L-MET. The exogenous application of ACC had a concentration-dependent effect on the etiolated pea seedlings in creating the classical “triple” response. The inoculation with P. putida diluted the effect of ACC, which was most likely due to its ACC-deaminase activity. Similarly, the application of Co2+ reduced the ACC-imposed effect on etiolated pea seedlings. In contrast, the inoculation of A. calcoaceticus or P. fluorescens in the presence of L-MET caused a stronger classical “triple” response in etiolated pea seedlings; most likely by producing ethylene from L-MET. This is the first study, to our knowledge, reporting on the comparative effect of rhizobacteria capable of utilizing ACC vs L-MET on etiolated pea seedlings.
Journal Article
Isolation of Cryptococcus neoformans var. grubii (serotype A) from Pigeon Droppings in Seoul, Korea
Hee Youn Chee , Kyung Bok Lee
J. Microbiol. 2005;43(5):469-472.
DOI: https://doi.org/2273 [pii]
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AbstractAbstract
Seventy-two pigeon dropping samples were collected from 26 different localities in Seoul and investigated for the occurrence of Cryptococcus neoformans. Seventeen samples from 8 different localities were found to be positive for C. neoformans. All isolates were obtained from withered pigeon droppings. Identification and serotyping of the isolates were determined by means of serological testing and DNA fingerprinting. All isolates belonged to C. neoformans var. grubbi (serotype A).

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