First, according to the literature, almost all the genes from these gut samples come from microbial organisms [ 30].
As presented in the results, our algorithm has characterized well-known and possible microbial interactions from time series microbiome data of infant gut samples (see Fig. 6).
To construct microbial regulatory networks in infant intestinal tracts, we used the pyrosequencing reads of 16S rRNA genes from 61 infant gut samples, which were treated with four diet states at four time periods [ 28].
Similar to microbial gut investigation, the DGGE patterns indicated that the occurrence of diverse microbial genera (Enterobacter, Raoultella, Klebsiella, and Buttiauxella) and unclassified bacteria varied among the samples.
The microbial gut community is highly complex, with ca. 150 phylotypes present (7, 8, 10).
Taxonomic assignment of the different sequences revealed that Firmicutes and Bacteroidetes were predominant phyla in the gut sample, while microbial diversity in the comb sample resembled that of typical soil samples.
Therefore, it is possible to speculate that redundant groups arose from one or two members of Bacteroidetes that were naturally over-represented in the gut sample, a fact that might point to the importance of this phylum within the gut microbial community.
Qin et al. analyzed the differences between type 2 diabetes (T2D) patients and non-diabetic controls in 345 Chinese gut microbial samples.
After aligning the reads of each human gut microbial sample onto the reference database, we determined the proportion of the genomes covered by the reads (Methods).
Here, the microbial ecologist samples organic material that's potentially brimming with microscopic life.
