Variations in gut microbiota and fecal metabolic phenotype associated with Fenbendazole and Ivermectin Tablets by 16S rRNA gene sequencing and LC/MS-based metabolomics in Amur tiger

被引:41
|
作者
He, Fengping [1 ]
Zhai, Jiancheng [1 ]
Zhang, Le [1 ]
Liu, Dan [2 ]
Ma, Yue [1 ,3 ]
Rong, Ke [1 ,4 ]
Xu, Yanchun [1 ,3 ]
Ma, Jianzhang [1 ,4 ]
机构
[1] Northeast Forestry Univ, Coll Wildlife Resources, Harbin 150040, Heilongjiang, Peoples R China
[2] Heilongjiang Siberian Tiger Pk, Harbin 150040, Heilongjiang, Peoples R China
[3] State Forestry Adm, Detecting Ctr Wildlife, Harbin 150040, Heilongjiang, Peoples R China
[4] Chinese State Forestry Adm, China Feline Res Ctr, Harbin 150040, Heilongjiang, Peoples R China
关键词
Fenbendazole and ivermectin tablets; Gut microbiota; Metabolomics; 16S rRNA gene sequencing; Amur tiger; MAJOR DEPRESSIVE DISORDER; MICE; IMPACT; CELLS;
D O I
10.1016/j.bbrc.2018.03.158
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Background: The Amur tiger is one of the most endangered species in the world, and the healthy population of captive Amur tigers assists the recovery of the wild population. Gut microbes have been shown to be important for human disease and health, but little research exists regarding the microbiome of Amur tigers in captivity. Methods: In this study, we used an integrated approach of 16S rRNA gene sequencing combined with ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS)-based metabolomics to analyze the effects of Fenbendazole and Ivermectin Tablets on the gut microbiota and fecal metabolic phenotype of the Amur tiger. Results: The relative abundances of the bacterial genera Collinsella, Clostridium XI and Megamonas were decreased, whereas those of Escherichia and Clostridium sensu stricto were increased in experimental Amur tigers compared with those in normal controls. Meanwhile, distinct changes in the fecal metabolic phenotype of the experimental Amur tigers were also found, including lower levels of acrylic acid, acetoacetate and catechol and higher amounts of 5,6-dihydrouracil, adenine hydrochloride hydrate and galactitol. Moreover, the differentially abundant gut microbes were substantially associated with the altered fecal metabolites, especially the bacteria in the Firmicutes and Actinomycetes, which were involved in the metabolism of 5,6-dihydrouracil, 6-phospho-o-gluconate and 1-methylnicotinamide. Conclusion: Our results indicate for the first time that Fenbendazole and Ivermectin Tablets not only disturb the gut microbiota at the abundance level but also alter the metabolic homeostasis of the Amur tiger. (C) 2018 Elsevier Inc. All rights reserved.
引用
收藏
页码:447 / 453
页数:7
相关论文
共 50 条
  • [21] Gut Microbiota Profile in Patients with Type 1 Diabetes Based on 16S rRNA Gene Sequencing: A Systematic Review
    Zhou, He
    Zhao, Xue
    Sun, Lin
    Liu, Yujia
    Lv, You
    Gang, Xiaokun
    Wang, Guixia
    DISEASE MARKERS, 2020, 2020
  • [22] Exploring Gut Microbiota in Patients with Colorectal Disease Based on 16S rRNA Gene Amplicon and Shallow Metagenomic Sequencing
    Liu, Yuanfeng
    Li, Xiang
    Yang, Yudie
    Liu, Ye
    Wang, Shijun
    Ji, Boyang
    Wei, Yongjun
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2021, 8
  • [23] Association between childhood obesity and gut microbiota: 16S rRNA gene sequencing-based cohort study
    Li, Xu-Ming
    Lv, Qing
    Chen, Ya-Jun
    Yan, Lu-Biao
    Xiong, Xin
    WORLD JOURNAL OF GASTROENTEROLOGY, 2024, 30 (16) : 2249 - 2257
  • [24] Unveiling the gut microbiota and metabolite profiles in guinea pigs with form deprivation myopia through 16S rRNA gene sequencing and untargeted metabolomics
    Wu, Yajun
    Fan, Hua
    Feng, Yuliang
    Yang, Jiasong
    Cen, Xiaobo
    Li, Wensheng
    HELIYON, 2024, 10 (09)
  • [25] Determining the protective effects of Yin-Chen-Hao Tang against acute liver injury induced by carbon tetrachloride using 16S rRNA gene sequencing and LC/MS-based metabolomics
    Liu, Fang
    Sun, Zhaolin
    Hu, Pei
    Tian, Qiang
    Xu, Zhou
    Li, Zhixiong
    Tian, Xiaoting
    Chen, Mingcang
    Huang, Chenggang
    JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2019, 174 : 567 - 577
  • [26] Integrative analysis of microbiota and metabolomics in chromium-exposed silkworm (Bombyx mori) midguts based on 16S rDNA sequencing and LC/MS metabolomics
    Chen, Ya-Zhen
    Rong, Wan-Tao
    Qin, Ying-Can
    Lu, Lin-Yuan
    Liu, Jing
    Li, Ming-Jie
    Xin, Lei
    Li, Xiao-Dong
    Guan, De-Long
    FRONTIERS IN MICROBIOLOGY, 2023, 14
  • [27] Changes in the gut microbiota of osteoporosis patients based on 16S rRNA gene sequencing: a systematic review and meta-analysis
    Huang, Rui
    Liu, Pan
    Bai, Yiguang
    Huang, Jieqiong
    Pan, Rui
    Li, Huihua
    Su, Yeping
    Zhou, Quan
    Ma, Ruixin
    Zong, Shaohui
    Zeng, Gaofeng
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B, 2022, 23 (12): : 1002 - 1013
  • [28] Toward an Understanding of Changes in Diversity Associated with Fecal Microbiome Transplantation Based on 16S rRNA Gene Deep Sequencing
    Shahinas, Dea
    Silverman, Michael
    Sittler, Taylor
    Chiu, Charles
    Kim, Peter
    Allen-Vercoe, Emma
    Weese, Scott
    Wong, Andrew
    Low, Donald E.
    Pillai, Dylan R.
    MBIO, 2012, 3 (05):
  • [29] The influence of mosapride on gut microbiota of carbon tetrachloride-induced cirrhosis rats based on 16S rRNA gene sequencing
    Chen, Dongya
    Xiong, Jingfang
    Feng, Hui
    Liu, Yihui
    Xu, Jianjun
    Xu, Hong
    ADVANCES IN CLINICAL AND EXPERIMENTAL MEDICINE, 2022, 31 (06): : 623 - 633
  • [30] Changes in the gut microbiota of patients with sarcopenia based on 16S rRNA gene sequencing: a systematic review and meta-analysis
    Song, Qi
    Zhu, Youkang
    Liu, Xiao
    Liu, Hai
    Zhao, Xinyi
    Xue, Liyun
    Yang, Shaoying
    Wang, Yujia
    Liu, Xifang
    FRONTIERS IN NUTRITION, 2024, 11