利用16S和18S rRNA基因的下一代测序分析与单细胞肠道原生生物相关的人类肠道微生物群的结构。

IF 4.1 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Computational and structural biotechnology journal Pub Date : 2025-06-06 eCollection Date: 2025-01-01 DOI:10.1016/j.csbj.2025.06.006
Salem Belkessa, Edoardo Pasolli, Bachir Medrouh, Rebecca P K D Berg, Lee O 'Brien Andersen, Henrik Vedel Nielsen, Christen Rune Stensvold
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引用次数: 0

摘要

肠道菌群是一个复杂的微生物生态系统,对健康和疾病有重大影响。一些肠道单细胞真核生物(特别是囊虫)与肠道益生菌的特征有关。与此同时,关于肠道致病性原生动物(如贾第鞭毛虫)与肠道微生物群特征之间的关系,人们知之甚少。因此,我们利用基于扩增子的下一代原核和真核核糖体基因测序,对60名贾第虫阳性和31名贾第虫阴性的阿尔及利亚人的肠道微生物群进行了特征和比较,并分层与其他单细胞真核生物(如古阿米巴和囊虫)共定植。总体而言,我们发现无论是否存在原阿米巴原虫和内阿米巴原虫,贾第鞭毛虫阳性和贾第鞭毛虫阴性个体之间的α和β微生物群多样性没有显著差异(p > 0.05)。然而,在贾第鞭毛虫阳性、囊虫阴性和贾第鞭毛虫阳性、囊虫阳性个体之间,α和β多样性均有显著差异(观察丰富度,p = 0.0016;ananosim = 0.001),在囊虫阴性和阳性携带者之间也有类似的差异(p 贾第鞭毛虫携带者状态。重要的是,这些肠道微生物群的差异被认为与性别、年龄和位置等因素无关(p > 0.05)。最后,贾第鞭毛虫阳性个体可能表现出益生菌的特征,但这是否取决于囊虫的存在,有待于未来的研究证实。这些发现结合起来可能表明囊虫可能是肠道微生物群多样性的积极驱动因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structure analysis of human gut microbiota associated with single-celled gut protists using Next-Generation Sequencing of 16S and 18S rRNA genes.

The gut microbiota is a complex microbial ecosystem with a major impact on health and disease. Some gut unicellular eukaryotes (particularly Blastocystis) have been linked to features of intestinal eubiosis. Meanwhile, little is known regarding associations between gut-pathogenic protozoa, such as Giardia, and gut microbiota signatures. We therefore characterized and compared gut microbiota profiles of 60 Giardia-positive and 31 Giardia-negative Algerian individuals using amplicon-based next-generation sequencing of prokaryotic and eukaryotic ribosomal genes and stratifying for co-colonization with other unicellular eukaryotes, such as species of Archamoebae or Blastocystis. Overall, we found that alpha and beta microbiota diversity did not differ significantly between Giardia-positive and Giardia-negative individuals, regardless of the presence or absence of Archamoebae and Entamoeba (p > 0.05). However, significant differences were observed in both alpha and beta diversity between Giardia-positive, Blastocystis-negative and Giardia-positive, Blastocystis-positive individuals (observed richness, p = 0.0016; ANOSIM = 0.001), and similar differences were noticed between Blastocystis-negative and-positive carriers (p < 0.05), regardless of Giardia carrier status. Importantly, these differences in gut microbiota were considered to be independent of factors such as sex, age, and location (p > 0.05). Conclusively, Giardia-positive individuals may exhibit features of eubiosis, but whether this depends on the presence of Blastocystis should be confirmed by future studies. These findings combined might indicate that Blastocystis could be an active driver of gut microbiota diversity.

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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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