| Literature DB >> 28439034 |
Emily A Lescak1, Kathryn C Milligan-Myhre2.
Abstract
Host-microbe interactions are influenced by complex host genetics and environment. Studies across animal taxa have aided our understanding of how intestinal microbiota influence vertebrate development, disease, and physiology. However, traditional mammalian studies can be limited by the use of isogenic strains, husbandry constraints that result in small sample sizes and limited statistical power, reliance on indirect characterization of gut microbial communities from fecal samples, and concerns of whether observations in artificial conditions are actually reflective of what occurs in the wild. Fish models are able to overcome many of these limitations. The extensive variation in the physiology, ecology, and natural history of fish enriches studies of the evolution and ecology of host-microbe interactions. They share physiological and immunological features common among vertebrates, including humans, and harbor complex gut microbiota, which allows identification of the mechanisms driving microbial community assembly. Their accelerated life cycles and large clutch sizes and the ease of sampling both internal and external microbial communities make them particularly well suited for robust statistical studies of microbial diversity. Gnotobiotic techniques, genetic manipulation of the microbiota and host, and transparent juveniles enable novel insights into mechanisms underlying development of the digestive tract and disease states. Many diseases involve a complex combination of genes which are difficult to manipulate in homogeneous model organisms. By taking advantage of the natural genetic variation found in wild fish populations, as well as of the availability of powerful genetic tools, future studies should be able to identify conserved genes and pathways that contribute to human genetic diseases characterized by dysbiosis.Entities:
Keywords: animal models; fish; gnotobiotic; host-microbe interactions; microbiota
Mesh:
Year: 2017 PMID: 28439034 PMCID: PMC5512220 DOI: 10.1128/JB.00868-16
Source DB: PubMed Journal: J Bacteriol ISSN: 0021-9193 Impact factor: 3.490
FIG 1Teleosts exhibit natural variation, and their physiology is remarkably similar to that of other vertebrates, including humans. These features have led to a rich history of study that has made teleosts strong model organisms for both field and laboratory studies of host-microbe interactions. The ease with which their internal and environmental microbial communities can be sampled, their adaptive radiations, and the availability of advanced genetic tools for characterizing hosts and microbes have made them ideal for empirical studies. In the laboratory, the optical transparency, large sample sizes, small size, and rapid development of fish have facilitated experimental manipulations of microbes and hosts and their environment. Combining field and laboratory studies allows identification of gene-environment interactions influencing host-microbe symbioses.
FIG 2The threespine stickleback is an appropriate model organism for studying the effects of host genetic background on microbial community because wild populations exhibit genetic variation that is comparable to that of human populations. FST, a measure of genetic divergence, among human populations ranges from about 0.08 to 0.15 (132) (top panel) and among stickleback populations from Alaska ranges from almost 0 to 0.13 (133) (bottom panel).
Studies using teleosts as model organisms have made major contributions to understanding host-microbe interactions
| Contribution | Reference(s) |
|---|---|
| Contributions of microbiota to host development | |
| Stimulation of intestinal epithelial cell proliferation through MyD88 signaling pathways | |
| Promotion of a shift in epithelial glycan expression | |
| Stimulation of recruitment of immune cells | |
| Promotion of gut development | |
| Maintenance of normal levels of secretory cells and peristaltic contractions | |
| Aiding in host growth and development | |
| Process of gut colonization | |
| Bacterial populations not uniformly distributed along gut | |
| Establishment of bacteria during development | |
| Quantification of bacterial population dynamics in a living host | |
| Gene-environment interactions | |
| Core gut microbiota | |
| Taxa that deviate from neutral patterns are more likely adapted to, and selected by, host environment | |
| Microbiota more strongly driven by differences in host genotype than environment | |
| Diet and host genetics influence on microbiota | |
| Microbiota influenced more by host developmental stage than geography | |
| Sex influences magnitude of relationship to diet | |
| Temporal, spatial, and interindividual variation | |
| Seasonal variation in microbiota | |
| Immune system-microbiota interactions | |
| Variation in strength of inflammatory response to microbes in genetically divergent populations | |
| Correlations between MHC class II alleles and microbiota | |
| Microbiota-induced neutrophil recruitment | |
| Effects of antimicrobials: low levels of triclosan alter microbial community structure |