Diversity Factor Bs 7671.pdf [UPD]
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In a study of 52 patients with bipolar disorder, those taking antianxiety medications had greater alpha and beta diversity and a stronger correlation betweenthe gut microbiome and anxiety severity ascompared with those taking mood stabilizers.35 In a study of the gut microbiomes of adults with autism spectrum disorder, individuals with gastrointestinal symptoms had a higher diversity of microbes compared to those without.36
In a study of the human gut microbiome, scientists compared the gut microbiomes of many diverse individuals. It was found that the microbiomeswere relatively similar among the individuals, but that they were not identical. Instead, the microbiomes of an individual were more like those of his or her own family, as opposed to a similar-aged and geographically dissimilar person.37
Conclusion
What is the best way to model metagenome diversity? In our opinion, the best approach to examine the diversity of the microbiome is to analyze the sequence data of the organisms in the community. The identity of an organism can be analyzed by comparing the sequences with those of known organisms.
Another way of analyzing the diversity of microbial communities is to use rarefaction curves or rarefaction analyses. Rarefaction analysis is used to get an idea of the total diversity of the organism community. Rarefaction analyses take into account the number of reads and the number of organisms in the community and can estimate the number of species in a community without knowing their identities.
Some methods of analyzing the diversity of microbial communities use clustering methods. While most clustering methods cluster organisms based on DNA sequence similarities, some also take into account additional information, like the presence of a specific gene, to cluster organisms. When there is no way of knowing how similar two organisms are, it is better to cluster on the basis of the presence of a gene than on the basis of similarity of DNA sequences. If you know the gene, you have a way of taking into account the differences between organisms.
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