In August 2011, thousands of dead red abalone washed up on the beaches of Sonoma County in Northern California. At the time, the cause was unknown. Now, scientists, including a biologist from UC Davis, have learned that a harmful algal bloom was to blame: the causative agent Yessotoxin.
While discovery of the cause itself is noteworthy, the method by which it was determined could have a profound effect on how wildlife mortality events are investigated in the future. Described in a study published in Nature Communications, the researchers call this new approach “forensic genomics.” It involves a combination of field surveys, toxin testing and genomic scans.
In the case of red abalone, the finding was the result of fortunate timing.
“Just months before the mortality event, we had sequenced the entire genome of several red abalone in the same area,” says co-author Laura Rogers-Bennett, a senior environmental scientist with the California Department of Fish and Wildlife working at the UC Davis Bodega Marine Laboratory. “What we had, in essence, was a baseline, so we went back to the same site after the mortalities and did a whole genome scan of the survivors.”
With both sets of data in hand, they compared the two groups using a computer program and found a set of clues that pointed them in a very specific direction.
“Parts of the genome were significantly different than what you’d expect by chance,” says Rogers-Bennett.
When they investigated those outliers, they found that their function was to aid in detoxification. The results supported their hypothesis that a harmful algal bloom producing a Yessotoxin was the major cause of the mass mortality rather than exposure to other potential toxins.
“Our technique has widespread applicability and could be useful in finding the causes of other wildlife mortality events,” says Rogers-Bennett. “We never would have been able to do this if we hadn’t done this whole scan of the entire genome in advance.”
The findings demonstrate the value of gathering baseline genetics information about wild populations before a mortality event occurs, even if the baseline samples remain in a freezer until an event emerges.
The study’s lead author is Pierre de Witt, who was at Stanford Univ. at the time of the research and currently at the Univ. of Gothenburg.