组合数据分析的应用,研究人类便中的细菌多样性与性别,年龄和体重之间的关系
Elio López-García1, Antonio Benítez-Cabello1, Antonio Pablo Arenas-de Larriva2
1Food Biotechnology Department, Instituto de la Grasa (CSIC), Carretera Utrera km 1, Campus Universitario Pablo de Olavide, Building 46, 41013 Seville, Spain.
Biomedicines
|August 26, 2023
概括
人体肠道细菌的组成因性别和年龄而异,但不是体重. 组合数据分析 (CoDA) 在健康成年人中确定了与性别和年龄相关的特定细菌属,突出了其在微生物组研究中的实用性.
科学领域:
- 微生物组研究的研究.
- 人的肠道微生物群.
- 组成数据分析 (CoDA)
背景情况:
- 了解人类肠道细菌的多样性对健康至关重要.
- 性,年龄和体重等因素可以影响微生物组成.
- 之前的研究已经通过不同的方法来探索这些关联.
研究的目的:
- 调查西班牙队列中宿主因素 (性别,年龄,体重) 和便细菌多样性之间的关系.
- 评估组合数据分析 (CoDA) 分析人类微生物群数据的有效性.
- 识别特定的细菌种群及其与性别和年龄相关的丰度模式.
主要方法:
- 来自西班牙安达卢西亚的39名健康志愿者提供了便样本.
- 高通量测序 (16S rRNA基因V3-V4区域) 使用Illumina MiSeq.进行.
- 组合数据分析 (CoDA) 工具 (ALDEx2,coda4microbiome) 用于分析细菌的丰富性和多样性.
- 使用Phyloseq R包进行序列处理和属级别分配.
主要成果:
- 便细菌的α多样性没有受到性别,年龄或体重的显著影响.
- 组合数据分析揭示了性别和特定细菌属 (例如,*Desulfovibrio*, *Senegalimassilia*, *Negatibacillus*) 之间的显著关联.
- 年龄与*Streptococcus*和*Tyzzerella*等属有暂时的关联,而体重对肠道微生物组合的影响有限.
- 鉴定出了细菌特征平衡,可以高准确度地预测性别,而不依赖年龄和体重.
结论:
- 组合数据分析 (CoDA) 是探索人类微生物群数据和识别宿主-微生物关联的强大工具.
- 特定的肠道细菌组成与健康成年人的性别以及年龄有关.
- 在这个队列中,肠道微生物组与体重的关系与性别和年龄相比显得不那么明显.
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