Yang G et al. (2017), Molecular ecological network analysis reveals t...

ECB-ART-45608

Sci Rep 2017 Jul 06;71:4778. doi: 10.1038/s41598-017-05312-1.

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Molecular ecological network analysis reveals the effects of probiotics and florfenicol on intestinal microbiota homeostasis: An example of sea cucumber.

Yang G , Peng M , Tian X , Dong S .

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Animal gut harbors diverse microbes that play crucial roles in the nutrition uptake, metabolism, and the regulation of host immune responses. The intestinal microbiota homeostasis is critical for health but poorly understood. Probiotics Paracoccus marcusii DB11 and Bacillus cereus G19, and antibiotics florfenicol did not significantly impact species richness and the diversity of intestinal microbiota of sea cucumber, in comparison with those in the control group by high-throughput sequencing. Molecular ecological network analysis indicated that P. marcusii DB11 supplementation may lead to sub-module integration and the formation of a large, new sub-module, and enhance species-species interactions and connecter and module hub numbers. B. cereus G19 supplementation decreased sub-module numbers, and increased the number of species-species interactions and module hubs. Sea cucumber treated with florfenicol were shown to have only one connecter and the lowest number of operational taxonomic units (OTUs) and species-species interactions within the ecological network. These results suggested that P. marcusii DB11 or B. cereus G19 may promote intestinal microbiota homeostasis by improving modularity, enhancing species-species interactions and increasing the number of connecters and/or module hubs within the network. In contrast, the use of florfenicol can lead to homeostatic collapse through the deterioration of the ecological network.

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Genes referenced: impact LOC100887844 LOC115925415

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References [+] :

Bhalla, Emergent properties of networks of biological signaling pathways. 1999, Pubmed

	Figure 1. Relative abundance of different bacterial classes (above ≥a cutoff value of 0.6%) and principal coordinates analysis (PCoA) of the intestine microbial communities.
	Figure 2. Circular plot descriptions of the interaction between species of the intestine microbial community of sea cucumber. The data are visualized via the Circos software (http://circos.ca/). The width of the bars represent the abundance of each taxon. The bands with different colors demonstrate the source of different genera. The taxomomic levels were class, order, family, genera, and species from the outside to the inside of the circle, respectively. The edges (blue edge = positive interaction and red edge = negative interaction) inside the circle represent the interactions between species.
	Figure 3. The ecological network of the intestinal microbiota in sea cucumber. The network graph with sub-module structure by the fast greedy modularity optimization method. Each node indicates one OTU. Colors of the nodes indicate different major classes. A blue edge indicates a positive interaction between two individual nodes, while a red edge indicates a negative interaction.
	Figure 4. Z-P plot showing the distribution of OTUs based on their topological roles.
	Figure 5. Effects of dietary Paracoccus marcusii DB11, Bacillus cereus G19, and florfenicol supplementation on the apparent digestibility coefficient of crude protein in sea cucumber (mean ± S.D.; n = 5).