The use of proteomics to track relative protein expression is becoming a common approach to understand how an organism responds on a molecular level to a variety of environmental conditions or genetic mutations. Historically, a transcriptomic approach has been used to understand changes in plant gene expression during spaceflight (Beaulieu et al., 2013; Paul et al., 2005; Paul et al., 2012; Paul et al., 2013; Salmi and Roux 2008; Salmi et al., 2011a; Salmi et al., 2011b). This is an attractive approach because vast quantities of data can be obtained from very little tissue. However, changes in gene expression do not necessarily reflect direct changes in protein quantity (Griffin et al., 2002). Considering that the presence of active protein is the final determinant of a cellular response to a given environmental stimulus, a proteomic approach can provide more reliable data. In addition to protein production, proteomics can also identify protein degradation, as well as post translational modifications, such as phosphorylation, which can be critical for activating or inactivating function.
One of the main drawbacks to using proteomics as a tool to analyze the microgravity environment is the amount of tissue required to obtain sufficient material for analysis. Experiments that use the popular and accessible Biological Research In Canisters (BRIC) hardware are typically limited to a handful of seedlings growing on a few 60 mm Petri dishes, often in the dark (Kuznetsov et al., 2001; Millar et al., 2011). Under these conditions, lifespan is short, plants are limited to carbon sources from the media when producing biomass, and stress from etiolated growth can confound analysis of the stress induced by microgravity by alternatively regulating, and therefore masking, those genes that would normally appear in a microgravity transcriptomic data set
Improved isobaric tags and mass spectrometry technology have begun to make proteomics more accessible for research with limited tissue availability (Reviewed by Vanderschuren et al., 2013). To date, discovery proteomics has been used to analyze a variety of bacteria, mammalian cells,
Arabidopsis seeds in the Col-0 background were surface sterilized in 30% bleach/0.01% Tween 20 solution. Sterile seeds were placed on individual filter paper discs to dry, prior to random planting across a 60 mm Petri dish containing 0.8% agar, 0.5x Murashige & Skoog media (Caisson Laboratories, Smithfield, UT), and 1% sucrose. Unless otherwise indicated, Petri dishes were sealed with parafilm, wrapped in foil, and stratified for 48 h to 72 h prior to receiving 2 h white light to induce germination. Plants were then wrapped in foil and placed inside a modified coffee mug to approximate the BRIC environment.
Modifications to the standard germination and growth timeline were made to accommodate the requirements of a flight schedule. After seeds were sown, plates were placed at 4°C in the dark for 18 h, followed by a 2 h light treatment at room temperature. After light treatment, plates were returned to the cold. A subset of individually wrapped plates was removed every 48 h to score germination, preventing light contamination of the remaining plates. This germination and growth protocol was used to analyze cold storage prior to germination, as well as optimal growth time after transfer to room temperature.
After growth for 96 h at room temperature, Petri dishes were flooded with 10 mL RNAlater® and resealed for 12 h. Petri dishes with RNAlater® were then placed into the −80°C freezer for 12 h to 72 h, prior to protein isolation. Total soluble protein was extracted from whole seedlings as described previously (Basu et al., 2015). Protein yield was quantified using the Bradford Assay (Fisher Scientific). Absorption at 595 nm was compared to a bovine serum albumin (BSA) standard curve.
Unlike transcriptomic approaches, proteomics requires a minimum of 50 μg of protein per replicate (Murad et al., 2011). One option for obtaining this material, while limiting the number of Petri Dish Fixation Units (PDFUs) necessary, is the use of high-density planting. To determine the optimal number of seeds per plate, between 0.006 g and 0.026 g of Arabidopsis seed was sown on a 60 mm Petri dish and grown for 96 h in darkness. Protein extracts from one plate with 0.006 g of seed yielded approximately 7 μg (Figure 2). Additional seed, up to 0.016 g, improved yield, up to approximately 15–20 μg protein. As seedlings from 3 plates were combined to form one replicate, 15–20 μg protein per plate would be sufficient for the amount of protein required for one replicate. However, increasing the number of seeds above 0.016 g did not further improve results. Therefore, we determined that under these growth conditions 0.016 g was the optimal amount for planting.
Research utilizing the ISS often requires a several-day stasis between integration of the biological sample into the flight hardware and experiment activation. It is critical that seedlings germinate in near-unison to prevent life-stage fluctuations in the data. However, seedlings must also not germinate early, exposing them to the accelerated gravity of launch and potential problems created by growth while in cold stowage. To mitigate this problem, seeds were sown on Petri dishes and allowed to imbibe at 4°C for approximately 18 h, exposed to white light for 2 h, and then returned to darkness at 4°C to determine how long germination could be delayed. Plants left at 4°C after the light treatment did not show visible indications of germination up to 168 h (7 d), when a small percentage did begin to germinate. However, plants placed at 23°C immediately after light treatment began to show germination after 72 h, with full germination apparent after 120 h (Figure 3). After 144 h (6 d) in the cold, return to room temperature led to visible germination of 95% of seeds after 44 h (Figure 4), indicating that this is an effective method to temporarily inhibit, yet uniformly induce germination.
Uniform germination is induced by shifting the BRICs from cold storage at 4°C to ambient temperature aboard the ISS. To determine how long plants should be allowed to grow prior to fixation, a time series was performed analyzing protein yield after three, four, and five days post-transfer to room temperature. Prior to three days, growth was not sufficient to perform extractions. Increasing growth time from three to four days did not appear to significantly impact protein yield (Figure 5). Increasing the time to five days did improve the output. However, due to the high density planting, three days was chosen as the preferred growth time to minimize the impact of crowding stress and ethylene build-up within the PDFUs. Furthermore, we reasoned that most growth after three days could be attributed to vacuole expansion rather than a marked increase in cell division (Gendreau et al., 1997).
After three days of growth, samples within the BRICs must be preserved for analysis, potentially months later. Direct transfer to the onboard Minus-Eighty Degree Laboratory Freezer for ISS (MELFI) may not be the best choice because slow freezing may cause changes in the transcriptome or proteome. RNAlater® has been the fixative of choice for previous transcriptomic experiments on the ISS (Beaulieu et al., 2013; Ferl et al., 2011; Kittang et al., 2010; Paul et al., 2005b; Paul and Ferl 2011; Paul et al., 2013), and has been used to preserve protein in
Large-scale omics approaches to understanding space biology are appealing because they allow collection of a vast amount of data but are relatively light on space and astronaut-time requirements. For years, microarray, and later RNA-seq, has been used to gather transcriptomic data for plants grown on orbit (Beaulieu et al., 2013; Ferl et al., 2015; Paul et al., 2005a; Paul et al., 2012; Paul et al., 2013; Salmi and Roux, 2008; Salmi et al., 2011a; Salmi et al., 2011b). Unlike physiological data, analyses of these results can continue well beyond the spaceflight, and are often utilized by many researchers to understand specific problems unrelated to the original, but relevant to space biology.
To truly understand the physiological impact of spaceflight, however, gene expression data is insufficient. Protein levels, and often the reversible, post-translational modifications of proteins, are responsible for physiological outcomes on both a cellular and whole-plant level. Therefore, a proteomic approach is more appropriate for determining precisely how plants respond to growth in microgravity. Using proteomics, researchers can isolate specific cellular responses, including protein synthesis, degradation, and activity-altering modifications such as phosphorylation.
There are technical challenges associated with proteomics experiments aboard the ISS, especially when coupled with BRIC hardware. Proteomics requires much more plant material than transcriptomic approaches. Successful experiments necessitate at least 50–100 μg of protein per replicate (Murad et al., 2011). To generate enough tissue within the confines of the PDFUs, we used a dense planting approach, resulting in over 800 seedlings per 60 mm Petri dish. The primary concern with this approach was the buildup of ethylene altering growth, development, and the proteomic results. To mitigate this possibility, seedlings were allowed to grow only 72 h after germination induction. This timeline had minimal impact on the overall protein yield, but reduced the time the seedlings spent in crowded conditions. Controls were also run in crowded conditions. Like transcriptomic approaches, proteomics relies on comparison of conditions. Even if ethylene-responsive genes were upregulated in these conditions, the same genes would also be activated in the control samples, negating the impacts. Overall, ethylene-responsive genes and proteins were not detected in the transcriptomic or proteomic data (data not shown), indicating that they were not activated, or that they were similarly expressed in both samples.
Terrestrial experiments normally utilize rapid freezing in liquid nitrogen to preserve protein samples, followed by immediate homogenization or long-term storage at −80°C. However, aboard the ISS, liquid nitrogen is not an option. Direct transfer to the −80°C freezer is not desirable because slow freezing could induce gene and protein expression in response to temperature change and ice crystal induced cell lysis. Traditional fixatives, such as glutaraldehyde, pose health hazards and are not allowed on board the ISS.
The preservative RNAlater® has long been used as a fixative appropriate for on-orbit transcriptomic experiments, as it works well to preserve nucleic acids (Drakulovski et al., 2013; Saito et al., 2011). Other recent work has shown RNAlater® to also preserve protein in a wide variety of biological samples (Abbaraju et al., 2011; Gorokhova et al., 2005; Saito et al., 2011). RNAlater® contains high levels of quaternary ammonium sulfates and cesium sulfates, leading to protein denaturation within samples (Bennike et al., 2016). This activity prevents sample degradation by DNase, RNase, and protease, as well as the activity of protein modifying enzymes. Results here indicate that overall the quantity and quality of protein are consistent between RNAlater®-treated and flash-frozen samples. However, this work does not address the efficacy of RNAlater® to limit changes to the proteome.
The approach outlined here has been executed successfully to obtain sufficient protein from BRIC samples on the ISS. Based on these results, we recommend allocating three PDFUs per replicate. Through managing seed number and growth time, these methods allow proteomic analysis of Arabidopsis tissue using this specific hardware. Furthermore, manipulation of germination through temperature change, as well as RNAlater® fixation, drastically limit crew time, making this an attractive approach for future proteomic analysis of Arabidopsis mutants requiring only short, etiolated growth.