Molecular Technologies

Exploring future pathways for protecting our taonga

Technological innovation is racing ahead around the globe, but what does this mean for Aotearoa? Before we adopt any new technology we must ensure it is suitable for our lands, our native species and our people. This four-part research programme delves into different molecular technologies and what they might look like in a New Zealand context.

Unless otherwise specified under individual resources, this work is shared CC-BY.

Gene technologies and our environment – a national conversation

This social research team has partnered with Te Tira Whakamātaki and is engaging with people to talk about the role genetic technologies may play in their visions for the future of environmental conservation in Aotearoa New Zealand.

Leaders: Marie McEntee (University of Auckland) & Fabien Medvecky (University of Otago)

RNA interference (RNAi) for Varroa mites

The Varroa mite (Varroa destructor) was first found in Aotearoa in 2000 and has now spread throughout the country, with the exception of the Chatham Islands. The mites parasitise honey bees – increasing virus transmission, causing parasitic mite syndrome and the eventual death of the colony. Current Varroa control usually involves the use of miticides, which can have non-target effects and lead to resistance within the mite population.

This research team is investigating the fesibility of using RNAi to control Varroa mites in honey bee hives in Aotearoa. Finding a species-specific control would reduce or eliminate the need for miticides, reducing risk to the wider environment.

The team is also looking at social and cultural perspectives of RNAi technology: running a workshop, funding a Master’s thesis on the topic and developing communication tools to convey the benefits and risks.

Leaders: Ocean Mercier, Phil Lester & Symon Palmer (Victoria University of Wellington)

A national DNA reference library

Environmental DNA (eDNA) detection can be a useful tool in both the biosecurity and biodiversity spaces, but only if there is a reference DNA library that can help tell you what you’ve found. Previous research has uncovered huge gaps in our ‘library’ in Aotearoa, which prevents us using this technology to it’s fullest extent.

The National DNA reference library team is working towards delivering a White Paper to government that provides an investment case for developing a national DNA reference library. This library would be founded on and governed by Te Tiriti o Waitangi.

This mahi includes reviewing how such libraries work overseas, running a wānanga series to discuss how this might translate to Aotearoa, and working with Te Rōpū Rangapūtanga Tiriti (Manaaki Whenua’s Te Tiriti Partnership Group for collections and databases) and SING to work out the logistics of how a library might operate.

For additional information and webinar recordings, please see Te Tiriti-guided national DNA reference library wānanga series, hosted by Manaaki Whenua Landcare Research.

Leaders: Manpreet Dhami & Holden Hohaia (Manaaki Whenua Landcare Research)

RNA interference (RNAi) for myrtle rust

Austropuccina psidii was found in Aotearoa in 2017 and has been spreading throughout the country ever since. When the pathogen is blown by the wind onto a myrtle plant it can cause myrtle rust. This disease is already causing localised extinctions of some of our native species and is threatening many others.

The RNAi for myrtle rust team is aiming to demonstrate a proof-of-concept that RNAi targeting putative pathogenicity genes of Austropuccinia psidii will prevent myrtle rust development. This goal was inspired by work in Australia, which showed the same process targeting house-keeping genes can reduce or prevent myrtle rust development. By targeting putative pathogenicity genes, our scientists are hoping to develop a method that carries less risk of non-target effects.

Leader: Grant Smith (Plant and Food Research)

Data and Resources

Additional Info

Field Value
Theme
Author
Maintainer
Source
Source Created Unknown
Source Modified Unknown
Language English
Spatial
Source Identifier
Dataset metadata created 27 April 2025, last updated 27 April 2025