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Phenotypic and genomic characteristics of Brevibacterium zhoupengii sp. nov., a novel halotolerant actinomycete isolated from bat feces
Yuyuan Huang , Lingzhi Dong , Jian Gong , Jing Yang , Shan Lu , Xin-He Lai , Dong Jin , Qianni Huang , Ji Pu , Liyun Liu , Jianguo Xu
J. Microbiol. 2022;60(10):977-985.   Published online August 19, 2022
DOI: https://doi.org/10.1007/s12275-022-2134-8
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AbstractAbstract
Two strictly aerobic, Gram-staining-positive, non-spore-forming, regular rod-shaped (approximately 0.7 × 1.9 mm) bacteria (HY170T and HY001) were isolated from bat feces collected from Chongzuo city, Guangxi province (22°20􍿁54􍿂N, 106°49􍿁20􍿂E, July 2011) and Chuxiong Yi Autonomous Prefecture, Yunnan province (25°09􍿁10􍿂N, 102°04􍿁39􍿂E, October 2013) of South China, respectively. Optimal growth is obtained at 25–28°C (range, 4–32°C) on BHI-5% sheep blood plate with pH 7.5 (range, 5.0–10.0) in the presence of 0.5– 1.0% NaCl (w/v) (range, 0–15% NaCl [w/v]). The phylogenetic and phylogenomic trees based respectively on the 16S rRNA gene and 845 core gene sequences revealed that the two strains formed a distinct lineage within the genus Brevibacterium, most closely related to B. aurantiacum NCDO 739T (16S rRNA similarity, both 98.5%; dDDH, 46.7–46.8%; ANI, 91.9–92.1%). Strain HY170T contained MK-8(H2), diphosphatidylglycerol (DPG) and phosphatidylglycerol (PG), galactose and ribose as the predominant menaquinone, major polar lipids, and main sugars in the cell wall teichoic acids, respectively. The meso-diaminopimelic acid (meso-DAP) was the diagnostic diamino acid of the peptidoglycan found in strain HY170T. Anteiso-C15:0 and anteiso-C17:0 were the major fatty acids (> 10%) of strains HY170T and HY001, with anteiso-C17:1A predominant in strain HY170T but absent in strain HY001. Mining the genomes revealed the presence of secondary metabolite biosynthesis gene clusters encoding for non-alpha poly-amino acids (NAPAA), ectoine, siderophore, and terpene. Based on results from the phylogenetic, chemotaxonomic and phenotypic analyses, the two strains could be classified as a novel species of the genus Brevibacterium, for which the name Brevibacterium zhoupengii sp. nov. is proposed (type strain HY170T = CGMCC 1.18600T = JCM 34230T).

Citations

Citations to this article as recorded by  
  • Antagonistic Behavior of Streptomyces chartreuse against Pathogenic Bacteria in Ricinus communis L.
    Bhoomi N. Patel, Priti Patel, Gayatri Patel
    Biosciences Biotechnology Research Asia.2024; 21(1): 185.     CrossRef
  • Functional genomics and taxonomic insights into heavy metal tolerant novel bacterium Brevibacterium metallidurans sp. nov. NCCP-602T isolated from tannery effluent in Pakistan
    Sadia Manzoor, Saira Abbas, Sobia Zulfiqar, Hong-Chuan Wang, Min Xiao, Wen-Jun Li, Muhammad Arshad, Iftikhar Ahmed
    Antonie van Leeuwenhoek.2024;[Epub]     CrossRef
  • Description of Ornithinimicrobium cryptoxanthini sp. nov., a Novel Actinomycete Producing β-cryptoxanthin Isolated from the Tongtian River Sediments
    Yuyuan Huang, Yifan Jiao, Sihui Zhang, Yuanmeihui Tao, Suping Zhang, Dong Jin, Ji Pu, Liyun Liu, Jing Yang, Shan Lu
    Journal of Microbiology.2023; 61(4): 379.     CrossRef
  • Morphological and genomic characteristics of two novel actinomycetes, Ornithinimicrobium sufpigmenti sp. nov. and Ornithinimicrobium faecis sp. nov. isolated from bat faeces (Rousettus leschenaultia and Taphozous perforates)
    Yuyuan Huang, Suping Zhang, Yuanmeihui Tao, Jing Yang, Shan Lu, Dong Jin, Ji Pu, Wenbo Luo, Han Zheng, Liyun Liu, Jia-fu Jiang, Jianguo Xu
    Frontiers in Cellular and Infection Microbiology.2023;[Epub]     CrossRef
Comparative analysis of type 2 diabetes-associated gut microbiota between Han and Mongolian people
Shu-chun Li , Yao Xiao , Ri-tu Wu , Dan Xie , Huan-hu Zhao , Gang-yi Shen , En-qi Wu
J. Microbiol. 2021;59(7):693-701.   Published online May 15, 2021
DOI: https://doi.org/10.1007/s12275-021-0454-8
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  • 18 Web of Science
  • 14 Crossref
AbstractAbstract
Due to the different rates of diabetes in different ethnic groups and the structural differences in intestinal microbiota, this study evaluated the changes in diabetes-related intestinal microbiota in two ethnic groups. Fifty-six stool samples were collected from subjects from the Han and Mongolian ethnic groups in China, including participants without diabetes (non-diabetic, ND) and with type 2 diabetes (T2D). The 16S rDNA gene V3 + V4 area was extracted from microbiota, amplified by PCR, and used to perform high-throughput sequencing and screen differential microbiota associated with ethnicity. The results showed that there were 44 T2D-related bacterial markers in the Han subjects, of which Flavonifractor, Alistipes, Prevotella, Oscillibacter, Clostridium XlVa, and Lachnospiracea_incertae_sedis were most closely related to diabetes. There were 20 T2D-related bacterial markers in the Mongolian subjects, of which Fastidiosipila and Barnesiella were most closely related to diabetes. The common markers of T2D bacteria in the two ethnic groups were Papillibacter and Bifidobacterium. There were 17 metabolic pathways with significant differences between the ND and T2D groups in the Han group, and 29 metabolic pathways in the Mongolian group. The glutamatergic metabolic pathway was the only common metabolic pathway in two ethnic groups. The composition and function of diabetes-related bacteria were significantly different among the different ethnic groups, which suggested that the influence of ethnic differences should be fully considered when studying the association between diabetes and bacteria. In addition, the common bacterial markers found in diabetic patients of different ethnic groups in this study can be used as potential targets to study the pathogenesis and treatment of diabetes.

Citations

Citations to this article as recorded by  
  • Pentachlorophenol increases diabetes risk by damaging β-cell secretion and disrupting gut microbial-related amino acids and fatty acids biosynthesis
    Muke Han, Jie Yin, Xinyi Wang, Runhui Yang, Zhong Dong, Junyu Ning, Yajun Xu, Bing Shao
    Journal of Hazardous Materials.2024; 480: 136103.     CrossRef
  • Improvement of glucose metabolism disorder by wheat dietary fibre depended on the intake mode and regulated through TLRs/NF-κB/TNF pathway in db/db mice
    Xinguo Liu, Shaojie Pang, Aoxiang Li, Yong Wang, Wei Fang, Wentao Qi
    Food and Agricultural Immunology.2024;[Epub]     CrossRef
  • Chemical modifications of xylan from sugarcane bagasse and their regulatory effects on gut microbiota in mice
    Guozhu Zhang, Yuan Guan, Xin Zhang, Jing Li, Haishan Chen, Li Zhou, Jun Liang, Xia Li
    Journal of Carbohydrate Chemistry.2024; 43(3): 90.     CrossRef
  • Tangshen Formula alleviates inflammatory injury against aged diabetic kidney disease through modulating gut microbiota composition and related amino acid metabolism
    Dan-Qian Chen, Hao-Jun Zhang, Wen Zhang, Kai Feng, Hui Liu, Hai-Ling Zhao, Ping Li
    Experimental Gerontology.2024; 188: 112393.     CrossRef
  • Differences in gut microbiota and its metabolic function among different fasting plasma glucose groups in Mongolian population of China
    Yanchao Liu, Mingxiao Wang, Wuyuntana Li, Yumin Gao, Hailing Li, Ning Cao, Wenli Hao, Lingyan Zhao
    BMC Microbiology.2023;[Epub]     CrossRef
  • Bi-Directional Interactions between Glucose-Lowering Medications and Gut Microbiome in Patients with Type 2 Diabetes Mellitus: A Systematic Review
    Ruolin Li, Fereshteh Shokri, Alejandro Rincon, Fernando Rivadeneira, Carolina Medina-Gomez, Fariba Ahmadizar
    Genes.2023; 14(8): 1572.     CrossRef
  • Microbe-Disease Association Prediction Using RGCN Through Microbe-Drug-Disease Network
    Yueyue Wang, Xiujuan Lei, Yi Pan
    IEEE/ACM Transactions on Computational Biology and Bioinformatics.2023; 20(6): 3353.     CrossRef
  • Longitudinal Characterization of the Gut Microbiota in the Diabetic ZDSD Rat Model and Therapeutic Potential of Oligofructose
    Savanna N. Weninger, Angela Ding, Elizabeth N. Browne, Morgan L. Frost, Gabriele Schiro, Daniel Laubitz, Frank A. Duca
    Metabolites.2023; 13(5): 660.     CrossRef
  • Effect of Benaglutide on Gut Microbiota and Fecal Metabolites in Patients with Type 2 Diabetes Mellitus
    Chen-Yu Han, Xiao-Mei Ye, Jia-Ping Lu, Hai-Ying Jin, Ping Wang, Wei-Wei Xu, Min Zhang
    Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 2329.     CrossRef
  • Alteration of intestinal microbiota is associated with diabetic retinopathy and its severity: Samples collected from southeast coast Chinese
    Xue-Mei Gu, Chao-Yin Lu, Jian Pan, Jian-Zhong Ye, Qi-Han Zhu
    World Journal of Diabetes.2023; 14(6): 862.     CrossRef
  • Progress in research on gut microbiota in ethnic minorities in China and consideration of intervention strategies based on ethnic medicine: A review
    Rong Chen, Zhong-Yu Duan, Xiao-Hua Duan, Qing-Hua Chen, Jin Zheng
    Frontiers in Cellular and Infection Microbiology.2022;[Epub]     CrossRef
  • Effects of Oral Glucose-Lowering Agents on Gut Microbiota and Microbial Metabolites
    Dongmei Wang, Jieying Liu, Liyuan Zhou, Qian Zhang, Ming Li, Xinhua Xiao
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Depletion of gut secretory immunoglobulin A coatedLactobacillus reuteriis associated with gestational diabetes mellitus-related intestinal mucosal barrier damage
    Haowen Zhang, Ce Qi, Yuning Zhao, Mengyao Lu, Xinyue Li, Jingbo Zhou, Hongyang Dang, Mengjun Cui, Tingting Miao, Jin Sun, Duo Li
    Food & Function.2021; 12(21): 10783.     CrossRef
  • The Microbiota Profile Analysis of Combined Periodontal-Endodontic Lesions Using 16S rRNA Next-Generation Sequencing
    Ping Sun, Zhiyong Guo, Daiping Guo, Jian Wang, Tingting Wu, Tingjun Li, Jiannan Liu, Xinhua Liu, Jôice D. Corrêa
    Journal of Immunology Research.2021; 2021: 1.     CrossRef

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