Suppr超能文献

利用蛋白质结构引导的宏基因组分析鉴定小鼠肠道微生物群编码的β-葡萄糖醛酸酶

Mouse Gut Microbiome-Encoded β-Glucuronidases Identified Using Metagenome Analysis Guided by Protein Structure.

作者信息

Creekmore Benjamin C, Gray Josh H, Walton William G, Biernat Kristen A, Little Michael S, Xu Yongmei, Liu Jian, Gharaibeh Raad Z, Redinbo Matthew R

机构信息

Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Chemical Biology and Medicinal Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

出版信息

mSystems. 2019 Aug 27;4(4):e00452-19. doi: 10.1128/mSystems.00452-19.

Abstract

Gut microbial β-glucuronidase (GUS) enzymes play important roles in drug efficacy and toxicity, intestinal carcinogenesis, and mammalian-microbial symbiosis. Recently, the first catalog of human gut GUS proteins was provided for the Human Microbiome Project stool sample database and revealed 279 unique GUS enzymes organized into six categories based on active-site structural features. Because mice represent a model biomedical research organism, here we provide an analogous catalog of mouse intestinal microbial GUS proteins-a mouse gut GUSome. Using metagenome analysis guided by protein structure, we examined 2.5 million unique proteins from a comprehensive mouse gut metagenome created from several mouse strains, providers, housing conditions, and diets. We identified 444 unique GUS proteins and organized them into six categories based on active-site features, similarly to the human GUSome analysis. GUS enzymes were encoded by the major gut microbial phyla, including (60%) and (21%), and there were nearly 20% for which taxonomy could not be assigned. No differences in gut microbial gene composition were observed for mice based on sex. However, mice exhibited differences based on active-site features associated with provider, location, strain, and diet. Furthermore, diet yielded the largest differences in composition. Biochemical analysis of two low-fat-associated GUS enzymes revealed that they are variable with respect to their efficacy of processing both sulfated and nonsulfated heparan nonasaccharides containing terminal glucuronides. Mice are commonly employed as model organisms of mammalian disease; as such, our understanding of the compositions of their gut microbiomes is critical to appreciating how the mouse and human gastrointestinal tracts mirror one another. GUS enzymes, with importance in normal physiology and disease, are an attractive set of proteins to use for such analyses. Here we show that while the specific GUS enzymes differ at the sequence level, a core GUSome functionality appears conserved between mouse and human gastrointestinal bacteria. Mouse strain, provider, housing location, and diet exhibit distinct GUSomes and gene compositions, but sex seems not to affect the GUSome. These data provide a basis for understanding the gut microbial GUS enzymes present in commonly used laboratory mice. Further, they demonstrate the utility of metagenome analysis guided by protein structure to provide specific sets of functionally related proteins from whole-genome metagenome sequencing data.

摘要

肠道微生物β-葡萄糖醛酸酶(GUS)在药物疗效与毒性、肠道致癌作用以及哺乳动物-微生物共生关系中发挥着重要作用。最近,针对人类微生物组计划粪便样本数据库提供了首个人类肠道GUS蛋白目录,该目录揭示了279种独特的GUS酶,这些酶根据活性位点结构特征被分为六类。由于小鼠是一种典型的生物医学研究生物体,在此我们提供了一份类似的小鼠肠道微生物GUS蛋白目录——小鼠肠道GUSome。利用基于蛋白质结构的宏基因组分析,我们研究了来自由多个小鼠品系、供应商、饲养条件和饮食构建的综合小鼠肠道宏基因组中的250万个独特蛋白质。我们鉴定出444种独特的GUS蛋白,并根据活性位点特征将它们分为六类,这与人类GUSome分析类似。GUS酶由主要的肠道微生物门类编码,包括拟杆菌门(60%)和厚壁菌门(21%),还有近20%无法进行分类学归属。基于性别未观察到小鼠肠道微生物GUS基因组成存在差异。然而,小鼠在与供应商、地点、品系和饮食相关的活性位点特征方面表现出差异。此外,饮食在GUS组成上产生的差异最大。对两种与低脂相关的GUS酶的生化分析表明,它们在处理含有末端葡萄糖醛酸的硫酸化和非硫酸化硫酸乙酰肝素九糖方面的功效存在差异。小鼠通常被用作哺乳动物疾病的模式生物体;因此,我们对其肠道微生物群组成的了解对于理解小鼠和人类胃肠道如何相互映照至关重要。GUS酶在正常生理学和疾病中具有重要意义,是用于此类分析的一组有吸引力的蛋白质。在此我们表明,虽然特定的GUS酶在序列水平上有所不同,但核心GUSome功能在小鼠和人类胃肠道细菌之间似乎是保守的。小鼠品系、供应商、饲养地点和饮食表现出不同的GUSome和GUS基因组成,但性别似乎不影响GUSome。这些数据为理解常用实验小鼠中存在的肠道微生物GUS酶提供了基础。此外,它们证明了基于蛋白质结构的宏基因组分析在从全基因组宏基因组测序数据中提供特定功能相关蛋白质组方面的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a1/6712278/1f6981a042bb/mSystems.00452-19-f0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验