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Gene expression profiling gut microbiota in different races of humans
- Source :
- Scientific Reports
- Publication Year :
- 2016
- Publisher :
- Nature Publishing Group, 2016.
-
Abstract
- The gut microbiome is shaped and modified by the polymorphisms of microorganisms in the intestinal tract. Its composition shows strong individual specificity and may play a crucial role in the human digestive system and metabolism. Several factors can affect the composition of the gut microbiome, such as eating habits, living environment and antibiotic usage. Thus, various races are characterized by different gut microbiome characteristics. In this present study, we studied the gut microbiomes of three different races, including individuals of Asian, European and American races. The gut microbiome and the expression levels of gut microbiome genes were analyzed in these individuals. Advanced feature selection methods (minimum redundancy maximum relevance and incremental feature selection) and four machine-learning algorithms (random forest, nearest neighbor algorithm, sequential minimal optimization, Dagging) were employed to capture key differentially expressed genes. As a result, sequential minimal optimization was found to yield the best performance using the 454 genes, which could effectively distinguish the gut microbiomes of different races. Our analyses of extracted genes support the widely accepted hypotheses that eating habits, living environments and metabolic levels in different races can influence the characteristics of the gut microbiome.
- Subjects :
- 0301 basic medicine
China
Living environment
Gut flora
Bioinformatics
White People
Article
Machine Learning
03 medical and health sciences
0302 clinical medicine
Asian People
Cluster Analysis
Humans
Microbiome
Eating habits
Gene
Oligonucleotide Array Sequence Analysis
Genetics
Multidisciplinary
biology
Gene Expression Profiling
digestive, oral, and skin physiology
Gastrointestinal Microbiome
Feeding Behavior
biology.organism_classification
United States
Europe
Gene expression profiling
030104 developmental biology
Metagenomics
030220 oncology & carcinogenesis
Metagenome
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....b413b0c47b13c9b4f35a960544bbd268
- Full Text :
- https://doi.org/10.1038/srep23075