Research Alert

Article title: Gut microbiota of wild fish as reporters of compromised aquatic environments sleuthed through machine learning

Authors: John W. Turner Jr., Xi Cheng, Nilanjana Saferin, Ji-Youn Yeo, Tao Yang Bina Joe

From the authors: “Overall, this study represents the first multispecies stress-related comparison of its kind and demonstrates the potential of artificial intelligence via [machine learning] as a tool for biomonitoring and detecting compromised aquatic conditions.”

This study is highlighted as one of June’s “best of the best” as part of the American Physiological Society's APSselect program.

Journal Link: Physiological Genomics