A new species of deep-water triplefin (Pisces: Tripterygiidae) in the genus Ruanoho from coastal New Zealand waters.

A new endemic species of triplefin Ruanoho scurra is described from deep water (108216 m) on the shelf region around coastal New Zealand (Northland to Stewart Island). It is differentiated from its congeners by the combination of fresh colour (bright yellow spots on the head and anterior body, oblique lines on the dorsal and anal fins, and sub-vertical lines on the caudal) as well as some proportional measurements. Comments are made on the relationship with its congeners, and evolutionary history of the family in New Zealand waters, along with observations on the habitat in which this new species is found. This paper formally describes the species first mentioned in Stewart Clements 2015:1523 as the polkadot triplefin.

Remote, autonomous real-time monitoring of environmental DNA from commercial fish.

Environmental DNA (eDNA) is increasingly used for monitoring marine organisms; however, offshore sampling and time lag from sampling to results remain problematic. In order to overcome these challenges a robotic sampler, a 2nd generation Environmental Sample Processor (ESP), was tested for autonomous analysis of eDNA from four commercial fish species in a 4.5 million liter mesocosm. The ESP enabled in situ analysis, consisting of water collection, filtration, DNA extraction and qPCR analysis, which allowed for real-time remote reporting and archival sample collection, consisting of water collection, filtration and chemical preservation followed by post-deployment laboratory analysis. The results demonstrate that the 2G ESP was able to consistently detect and quantify target molecules from the most abundant species (Atlantic mackerel) both in real-time and from the archived samples. In contrast, detection of low abundant species was challenged by both biological and technical aspects coupled to the ecology of eDNA and the 2G ESP instrumentation. Comparison of the in situ analysis and archival samples demonstrated variance, which potentially was linked to diel migration patterns of the Atlantic mackerel. The study demonstrates strong potential for remote autonomous in situ monitoring which open new possibilities for the field of eDNA and marine monitoring.