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Natasha J Haveman

Publications and source records attributed to Natasha J Haveman.

Designing Payload and Spaceflight Operations for Plants From Extreme 1 Terrestrial Environments

Terrestrial plants from the edges of the limits of life are likely to harbor genes that confer an advantage in deep space environments. These plants are seemingly capable of performing mission critical functions under prevailing deep space conditions while informing directed gene manipulation in target plant species. However, their adaptations to physiologically extreme habitats may hinder efficacy of routine laboratory techniques established for model plants. Here we present the development of Antarctic moss Ceratodon purpureus payload and flight operations for the ARTEMOSS experiment to the ISS astute of limited physical space and crew time. We demonstrate that the hydrophobic surface of Antarctic moss impedes chemical tissue fixation and precludes usage of RNAlater coupled with payload hardware deployed in standard plant spaceflight experiments. We show that deep-freezing the moss tissue on Petri plates provides adequate tissue fixation and allows for extraction of high-quality RNA suitable for gene expression profiling. We replaced hardware with stacks of Petri plates housing Antarctic moss and chemical fixation with deep-freeze in cryogenic GLACIER freezer. Our design can be translated to other plant species, expanding current techniques of experimentation with plants from extreme terrestrial environments aimed toward advancing human space exploration.

Agata K Zupanska↗

Space Crop Considerations for Human Exploration

NASA has been actively working to both determine how many crops will be needed for early exploration missions as well as updating the “Crop Readiness Level” (CRL) for a library of crops that can be selected for supporting a long-term mission. The Crop Readiness Level (CRL) is modelled after NASA’s Technology Readiness Level (TRL) approach for developing and advancing new technologies for space, first suggested by Barry Finger and published by Wheeler and Strayer [2]. The CRL model has nine levels from “crop identification” to “consumed in space.” The number and variety of crops needed is impacted by both primary factors (nutrition, menu fatigue, behavioral health system resiliency) as well as secondary factors such as ECLSS considerations, crop robustness, and hardware considerations.

Gioia D Massa↗