Why the skipjack tuna gut microbiome is the ocean's new weather station
Source PublicationPLOS One
Primary AuthorsZhou, Trujillo-González, Nicol et al.

Imagine your gut is a high-speed sensor that updates its software every time the room temperature changes. For skipjack tuna, internal bacteria act like a living dashboard for the Pacific Ocean, specifically the skipjack tuna gut microbiome.
These results were observed under controlled laboratory conditions, so real-world performance may differ.
The Tuna as a Biological Sensor
Climate events like the El Niño Southern Oscillation (ENSO) flip the ocean's chemistry. Scientists need timely ways to track these shifts to understand how marine ecosystems react. Biological indicators, like the microbes living inside top predators, offer a window into these complex dynamics.
Researchers used high-throughput sequencing to examine skipjack tuna in the centre of the Pacific. They tracked the fish during a shift from a strong La Niña to a weak El Niño. While the tuna remained opportunistic foragers—eating whatever they could find—their internal microbes told a different story.
Tracking the skipjack tuna gut microbiome
The study measured significant shifts in five bacterial families, including Fusobacteriaceae and Bacillaceae. These microbes assist with immunity and nutrition. The data suggests:
- Microbiome diversity shifts even when the fish's diet remains stable.
- Specific bacteria can help classify ENSO phases with high accuracy in internal models.
- The gut microbiome responds to rapid environmental changes that are not yet reflected in prey diversity.
These findings suggest the skipjack tuna gut microbiome could serve as a biological sensor for shifting seas. Researchers even built a model to predict ENSO phases based on bacterial data. However, while the model performed well in internal tests, the results of external validation were mixed due to differences in sampling and storage.
The study highlights a promising new frontier in marine science, though researchers caution that this approach requires longer-term validation across multiple ENSO cycles to prove its reliability as a monitoring tool.