DNA analysis of seawater detects 80% of fish species in just one day

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A Japanese research group has used a new technology that identifies multiple fish species populating local areas by analyzing DNA samples from seawater, and proved that this method is accurate and more effective than visual observation.

This research was carried out as part of the Japan Science and Technology Strategic Basic Research Programs by a group including Academic Researcher YAMAMOTO Satoshi (Kobe University Graduate School of Human Development and Environment), Associate Professor MASUDA Reiji (Kyoto University), Professor ARAKI Hitoshi (Hokkaido University), Professor KONDOH Michio (Ryukoku University), Project Assistant Professor MINAMOTO Toshifumi (Kobe University Graduate School of Human Development and Environment), and Adjunct Associate Professor MIYA Masaki (Head of Department of Ecology and Environmental Sciences, Natural History Museum and Institute, Chiba).

A Japanese research group has used a new technology that identifies multiple fish species populating local areas by analyzing DNA samples from seawater, and proved that this method is accurate and more effective than visual observation.

This research was carried out as part of the Japan Science and Technology Strategic Basic Research Programs by a group including Academic Researcher YAMAMOTO Satoshi (Kobe University Graduate School of Human Development and Environment), Associate Professor MASUDA Reiji (Kyoto University), Professor ARAKI Hitoshi (Hokkaido University), Professor KONDOH Michio (Ryukoku University), Project Assistant Professor MINAMOTO Toshifumi (Kobe University Graduate School of Human Development and Environment), and Adjunct Associate Professor MIYA Masaki (Head of Department of Ecology and Environmental Sciences, Natural History Museum and Institute, Chiba).

Until recently, marine surveys of fish species relied on diving or capturing methods that classified fish based on appearance. In addition to requiring a lot of manpower, these methods also depend upon specialist knowledge for fish classification.

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Credit: Kobe University