JXB Advance Access originally published online on July 4, 2005
Journal of Experimental Botany 2005 56(418):2253-2265; doi:10.1093/jxb/eri224
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
RESEARCH PAPER |
In vivo 13C NMR metabolite profiling: potential for understanding and assessing conifer seed quality
1Department of Biological Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
2Department of Chemistry, University of Saskatchewan, 110 Science Place, Saskatoon, SK S7N 5C9, Canada
3Plant Biotechnology Institute, National Research Council of Canada, 110 Gymnasium Place, Saskatoon, SK S7N 0W9, Canada
* To whom correspondence should be addressed. Fax: +1 604 291 3496. E-mail: kermode{at}sfu.ca
Received 22 December 2004; Accepted 12 May 2005
| Abstract |
|---|
|
|
|---|
High-resolution 13C MAS NMR spectroscopy was used to profile a range of primary and secondary metabolites in vivo in intact whole seeds of eight different conifer species native to North America, including six of the Pinaceae family and two of the Cupressaceae family. In vivo 13C NMR provided information on the total seed oil content and fatty acid composition of the major storage lipids in a non-destructive manner. In addition, a number of monoterpenes were identified in the 13C NMR spectra of conifer seeds containing oleoresin; these compounds showed marked variability in individual seeds of Pacific silver fir within the same seed lot. In imbibed conifer seeds, the 13C NMR spectra showed the presence of considerable amounts of dissolved sucrose presumed to play a protective role in the desiccation-tolerance of seeds. The free amino acids arginine and asparagine, generated as a result of storage protein mobilization, were detected in vivo during seed germination and early seedling growth. The potential for NMR to profile metabolites in a non-destructive manner in single conifer seeds and seed populations is discussed. It is a powerful tool to evaluate seed quality because of its ability to assess reserve accumulation during seed development or at seed maturity; it can also be used to monitor reserve mobilization, which is critical for seedling emergence.
Key words: Amino acids, conifer seeds, germination, imbibition, in vivo 13C NMR spectroscopy, metabolite profiling, monoterpenes, storage lipids, sucrose
| Introduction |
|---|
|
|
|---|
In the United States and Canada the multi-billion dollar forest industry relies heavily on conifers, the cornerstone of softwood lumber production. Reforestation of natural stands and the development of manageable forest plantations are dependent on the availability of high quality seeds. Establishing optimal seed storage conditions to ensure that conifer seeds retain quality and longevity is particularly crucial due to the irregularity of tree seed production in both natural and cultivated stands.
One characteristic that can affect propagation is seed dormancy. Seeds of conifers that require little or no period to break dormancy, for example, Sitka spruce (Picea sitchensis), western hemlock (Tsuga heterophylla), and western redcedar (Thuja plicata), obviously have a distinct advantage in quickly occupying sites following logging. However, there are several conifer species which produce seeds that exhibit deep dormancy at dispersal including yellow-cedar (Chamaecyparis nootkatensis), true fir (Abies) species, and western white pine (Pinus monticola). For these species, the seed numbers can potentially decline dramatically; during the prolonged period that they need to break dormancy after shedding, the seeds are subject to consumption by birds and rodents or deterioration caused by fungal attack (Pawuk, 1993
).
Reforestation efforts are becoming increasingly important, yet the forest industry is greatly affected by problems associated with conifer seed dormancy and seed quality. Forest nursery operations must accommodate the lengthy treatments (generally 34 months in duration, and sometimes not optimized) to break dormancy. Poor germination rates and impaired seedling growth occur frequently. This causes a significant loss of valuable seed; increased operational costs to nurseries can also occur because of irregular seedling performance (reviewed in Kermode, 2004
, 2005a
).
The tree seed orchard industry accounts for a significant amount of stock for reforestation. Again, the success of this industry can be limited by problems associated with seed viability and germination capacity. Problems can occur when environmental conditions do not mimic those in natural stands, particularly factors such as elevation and temperature, which can have a negative impact on seed development. Tree seed orchards involved in the production of seeds of lodgepole pine (Pinus contorta), yellow-cedar and other species often yield seeds that are shrivelled (indicative of poor seed fill) and exhibit poor germination rates and impaired seedling growth. Insects may exacerbate problems with poor seed production because they attack the reproductive structures of conifers throughout their development from cone bud initiation to seed maturity, and even during subsequent cone collection and seed extraction (Bates et al., 2001
; Kolotelo et al., 2001
).
Seedling vigour and the potential for early growth following germination is ultimately dependent upon processes that occurred earlier (during conifer seed development) particularly the accumulation of reserve materials (primarily storage lipids and proteins) in both the embryo and megagametophyte (Kermode, 2003
, 2004
, 2005a
). Efficient mobilization of these reserves during and following germination is critical for seedling establishment.
In this work, recent results on in vivo 13C NMR metabolite profiling in seeds of several conifer species native to the Pacific Northwest are summarized as a means of establishing this technique to monitor or assess seed quality. NMR spectroscopy has become a well-established research tool in plant biology (Shachar-Hill and Pfeffer, 1996
; Krishnan et al., 2005
) due to its adaptability to profile non-invasively different classes of metabolites in vivo in living plants (Ratcliffe et al., 2001
; Ratcliffe and Shachar-Hill, 2001
; Shachar-Hill, 2002
). By eliminating the need for extractions, in vivo NMR provides valuable information about plant metabolism without the complication of requiring an extraction process that can result in metabolite alteration. In vivo NMR can further generate kinetic measurements (e.g. the kinetics of water uptake) (Terskikh et al., 2005
) and examine metabolic responses on the same plant rather than on a set of similar plants; thus it is a more direct approach for correlating physiological processes and metabolism. The ability of NMR spectroscopy to monitor the metabolic status of seeds non-destructively, and at any stage of their development, may help in generating markers that can serve as predictors of seedling success.
In vivo NMR can readily detect several primary and secondary metabolites in plant seeds. For example, it has been used as a tool for the qualitative and quantitative non-destructive analysis of oils in a variety of angiosperm and gymnosperm seeds including those of canola (Wollenberg, 1991
; Hutton et al., 1999
), soybean (Haw and Maciel, 1983
), lettuce, Arabidopsis, garden pea (Bardet et al., 2001
; Bardet and Foray, 2003
), sunflower (Rutar, 1989
; Wollenberg, 1991
), and silver fir seeds (Abies alba Mill.) (Rutar et al., 1989
). 13C NMR has also been tested as a means of following the mobilization of oil reserves during seed germination and early seedling growth in vivo, for example, in soybean (Colnago and Seidl, 1983
; Ishida et al., 1990
), lodgepole pine and Sitka spruce seeds (Sayer and Preston, 1996
). 1H and 13C NMR may be viable tools for the analysis of protein and carbohydrate content in whole seeds (Schaefer and Stejskal, 1974
; Haw and Maciel, 1983
; Ridenour, 1992
; Ridenour et al., 1996
), although certain limitations exist for this endeavour. The 31P NMR spectra of mature and germinating seeds detects and identifies a number of phosphorus-containing compounds, including phytates, phospholipids, nucleic acids, and inorganic P compounds (Kime et al., 1982
; Ishida et al., 1990
; Ridenour, 1992
; Barba et al., 1997
; Gambhir et al., 1997
).
Even though the information obtained with in vivo 13C NMR has proven useful, such data, particularly for conifer seeds, are scarce, with only a few pilot studies reported to date. Using seeds of eight conifer species, including six of the Pinaceae family and two of the Cupressaceae family, a thorough and systematic investigation of primary and secondary metabolites by in vivo 13C NMR is presented. The focus has primarily been on oils (and on the breakdown products of storage lipids and proteins), as these are the most significant reserves that support the early post-germinative growth of conifer seeds. The long-term goal is to develop markers using NMR-based techniques that are useful predictors of conifer seed quality as well as germination and growth potential. It is clear that similar approaches can be applied to assess the quality of seeds of non-coniferous species.
| Materials and methods |
|---|
|
|
|---|
Seeds and seed treatments
Mature seeds of seven conifer species were supplied by the Tree Seed Center, British Columbia Ministry of Forests, Surrey, BC, Canada (Table 1; Fig. 1s is part of the supplementary data and can be found at JXB online). One seed lot of loblolly pine (Pinus taeda L.) was obtained from the Louisiana Forest Seed Company (Lecompte, LA). Seeds were stored at 20 °C until needed. Mature dry seeds were studied without any additional treatment. To obtain fully imbibed seeds of western white pine (Pinus monticola Dougl. ex D. Don), dry seeds were soaked in running water at 23 °C for 12 d. Seeds of western white pine were soaked, moist chilled, and germinated as described in Feurtado et al. (2003)
|
|
GLC analysis to determine total oil content and fatty acid composition
Seeds of four Pinus species (Table 1) were used for the extraction of total lipids and for fatty acid methyl ester (FAME) analysis. Data are based on six replicates of approximately 60 mg of seeds (3 seeds of western white pine and loblolly pine, 16 seeds of lodgepole pine, and 1 ponderosa pine seed). The seed coats were not removed. All six replicates were prepared at the same time and analysed the same day.
The seeds were finely ground with a polytron and the oil was extracted with 3 ml of a chloroform/isopropanol (2:1, v/v) mixture containg 500 µg of 15:0 TAG as an internal standard. After extraction, the mixture was centrifuged at 2500 rpm for 5 min. An aliquot of the clear supernatant (1 ml) was mixed with 0.5 ml of a chloroform/benzene/methanol (1:1:1 by vol.) mixture and evaporated to dryness under a stream of nitrogen gas.
To prepare FAME, the oil samples were transmethylated in tightly capped vials with 3 ml of a methanol/sulphuric acid (3 N) mixture for 1 h at 60 °C. The reaction mixture was then cooled to room temperature and 3 ml of an aqueous solution of NaCl (0.9 wt.%) was added. FAMEs were extracted three times with 1 ml hexane aliquots. The combined FAME/hexane extracts were mixed with 1 ml of a chloroform/benzene/methanol (1:1:1 by vol.) mixture and evaporated to dryness under a stream of nitrogen gas. The residue was redissolved in 0.5 ml of hexane and analysed by gas-liquid chromatography.
GLC was performed on a Hewlett Packard model 6890 gas chromatograph equipped with a split/splitless injector using a 30 m DB 23 column x 0.25 mm id and 0.25 µm film thickness (J&W Scientific Folsom, CA). The temperature gradient was 160 °C for 1 min followed by a ramp of 4 °C min1 up to a final temperature of 240 °C, which was maintained for 8 min. The inlet pressure of the carrier gas (helium) was 14.20 psi. The flame-ionization detector was maintained at 250 °C and used 40 ml min1 of hydrogen.
A total of 16 individual FAME peaks were identified by comparison of their retention times with those in the standard sample containing a mixture of 12 known FAMEs. Identification of several peaks was done according to Wolff et al. (2000)
and confirmed by mass spectroscopy. An internal 15:0 TAG (triacylglycerol) standard was used to measure the total oil content of the samples. FAME compositions of seeds of the four Pinus species are presented in Table 1s (which is part of the supplementary data and can be found at JXB online) and these are in close agreement with data reported previously for the same Pinus species (Wolff et al., 2000
).
NMR spectroscopy
All NMR experiments were performed on a Bruker Avance DRX 360 spectrometer at the NMR facility of the Plant Biotechnology Institute NRC (Saskatoon, SK, Canada). The spectrometer was equipped with a double-band Bruker BL7 magic angle spinning (MAS) probe. Seeds were placed in a 7 mm o.d. ZrO2 rotor and additionally packed with 0.2 mm glass beads to achieve better balance. The rotor was spun under the magic angle at a spinning speed of 3 kHz. A single seed was used for species with larger seeds (western white pine, ponderosa pine, loblolly pine, and Pacific silver fir). Unless stated otherwise, determinations for medium- and smaller-sized seeds used four seeds (yellow-cedar) and 612 seeds (lodgepole pine, western hemlock, and western redcedar).
1H NMR spectra were recorded at room temperature at a resonance frequency of 360.13 MHz with a spectral width of 5 kHz applying a single-pulse sequence with a 10 µs rf pulse and a 5 s relaxation delay between scans. Time domain size of the spectra was 4 K with a typical number of accumulations of 32.
13C NMR spectra were obtained at a resonance frequency of 90.56 MHz with a spectral width of 30 kHz under low-power proton decoupling and 13C pulse width of 3 µs and 1 s relaxation delay between scans. The time domain size of the spectra was 32 K (acquisition time of 0.55 s) with 32 K zero-filling and 0.5 Hz exponential multiplication before Fourier transformation. The typical number of accumulations was 8 K.
13C NMR chemical shifts were referenced to the signal from the terminal methyl groups of the linoleic fatty acid at 14.00 ppm used as an internal chemical shift reference. Signals were assigned according to Wenkert et al. (1976)
, Fan (1996)
, or following assignments given in earlier works cited above. The free-domain online Integrated Spectral Data Base System for Organic Compounds was also used (Hayamizu, 2001
). 13C NMR data for monoterpenes are reported in a recent review by Ferreira et al. (1998)
.
Quantitative analysis of the 13C NMR spectra
A detailed description of the quantitative analysis of the 1H and 13C MAS NMR spectra for the determination of the fatty acid compositions of oilseeds is found in Wollenberg (1991)
and Hutton et al. (1999)
. In the present study, a simplified approach was used as described below. The integrals from only three individual peaks in the whole 13C NMR spectrum were used: (i) the peak at 26.5 ppm derived from C-4 carbons in pinolenic acid (I1=P); (ii) the peak at 25.6 ppm, derived from C-11 carbons in pinolenic and linoleic acids (I2=P+L), and (iii) the closely overlapping resonances at 24.824.9 ppm derived from C-3 carbons in the pinolenic, linoleic and oleic acids (I3=P+L+O). Under the experimental conditions used in this study, these resonances had similar NMR properties (relaxation behaviour, nuclear Overhauser enhancement effects), thus allowing their use for quantitative analysis with a moderate degree of accuracy. Simple algebraic combinations of these three integral values gave a relative amount of each individual fatty acid in the mixture (P=I1; L=I2I1; O=I3I2; P+L+O=100%). All results are based on the average ±SD of six independent NMR experiments (replicates). Each replicate contained a single seed for western white pine, ponderosa pine, and loblolly pine, and 12 seeds for lodgepole pine.
From analysis of the NMR spectra only the molar ratios of fatty acids in the oil can be found. If NMR results are to be compared with GLC data, the molar ratios have to be converted into weight ratios (wt.%).
To determine the total oil content in seeds by 13C NMR a reference sample is needed with similar NMR properties and a known amount of oil. In the present study, seeds of western white pine were used as the intensity reference sample assuming an oil content measured by GLC of 35.4±0.5 wt.% fresh weight. NMR spectra for all other species were recorded under the same conditions and the integral intensities of the spectra were compared. All NMR results are based on the average of six replicates ±SD.
| Results and discussion |
|---|
|
|
|---|
Conifer species studied and typical spectra for western white pine seeds at different stages
In this work, the results of in vivo 13C NMR metabolite profiling in seeds of several conifer species native to the Pacific Northwest (Table 1; Fig. 1s is part of the supplementary material and can be found at JXB online) are summarized. Western white pine seeds serve to illustrate typical high-resolution in vivo 13C MAS NMR spectra at different stages; mature dry, imbibed, and germinated seeds (seedling growth phase) (Fig. 1). While these data are explained in more detail below, a few points are worth noting. The spectra were recorded by direct excitation of 13C spins with low-power radio frequency pulses combined with low-power broadband proton decoupling (liquid-state NMR set-up). Under these conditions, only highly-mobile liquid-like components such as triglycerides (oils) can be observed. To detect 13C NMR signals from solid constituents of the seed (e.g. the storage proteins and starch reserves of the embryo and megagametophyte and the polysaccharides/polyphenolics of the seed coat), solid-state 13C MAS NMR techniques (MAS combined with cross-polarization transfer) are required (Fig. 2s, which is part of the supplementary material can be found at JXB online) (Haw and Maciel, 1983
|
|
Although the results of Fig. 1 are discussed more fully below, the western white pine seed spectra show a general progression of changes in the major mobile metabolites of the conifer seed: in the dry seed all mobile macromolecules are oils (Fig. 1a); sucrose becomes detectable in the imbibed seed in which it probably confers an ability of these dormant seeds to remain desiccation tolerant; see later discussion (Fig. 1b); breakdown products of reserve mobilization become detectable in seedlings during early post-germinative growth (Fig. 1c).
13C NMR for analysis of oil reserves in mature dry conifer seeds
Oils (storage triacylglycerols) are the most abundant storage reserve of coniferous seeds. During seed development they accumulate in oil bodies in the storage parenchyma cells of the embryo and megagametophyte (Bewley and Black, 1994
; Huang, 1996
; Kermode, 2003
, 2005a
); their breakdown during and following germination provides a source of energy and carbon to support early post-germinative seedling growth. Storage proteins and carbohydrates account for the remaining reserve compounds, with the latter comprising only 26%. In seeds of Pinus species, oil constitutes up to 4060% of the fresh weight of the seed (Wolff and Bayard, 1995
). Some seed oils of Pinus species contain rare fatty acids (e.g.
5-olefinic acids) that are important in the taxonomy and phylogeny of the genus; they are being assessed for their nutritional value and possible physiological and biochemical activity (Wolff et al., 1996
).
The storage triglycerides of oil bodies in conifer seeds are liquid at room temperature, i.e. they are genuine oils (not fats), allowing their detection by 13C NMR spectra in vivo. An example of the spectra recorded for a single mature dry seed of western white pine is shown in Fig. 1a. Notably, the spectra resemble that recorded for common oilseeds, like sunflower (Rutar, 1989
) and Brassica napus (Wollenberg, 1991
; Hutton et al., 1999
), with the exception of the presence of characteristic signals from the pinolenic fatty acid (5,9,1218:3), an isomer of linolenic acid, which is abundant in seeds of the Pinaceae including western white pine. 13C NMR spectra of dry conifer seeds consist primarily of two groups of lines from hydrocarbon chains of fatty acids: one group derives from olefin carbon atoms (125132 ppm) and the other group derives from aliphatic carbon atoms (2135 ppm). Solitary lines are from the fatty acid terminal methyl groups, triglyceride backbone carbons, and carboxyl carbons.
Figure 2 shows the spectra of the fatty acids of single dry seeds (western white pine in (a) and the other species examined in (bh)) in more detail, i.e. expanded in the methylene carbon and olefin carbon regions. Individual carbon resonances are assigned within the spectrum for a single western white pine seed in Fig. 2a and the chemical shift values are summarized in Table 2. In many cases the spectral resolution was better than 0.01 ppm with a typical line width of 22.5 Hz comparable with the resolution in the liquid-state NMR spectroscopy. Indeed, the resolution was sufficient to resolve sn-1,3 and sn-2 positional isomers for oleic and linoleic fatty acids (Table 2). The spectral resolution further improves in fully imbibed seeds. Corresponding 1H MAS NMR spectra are also well resolved, but the narrow range of the proton chemical shifts prevents identification of individual fatty acids (Fig. 3).
|
Three major fatty acids were readily identified in 13C NMR spectra of seeds of western white pine seeds and other Pinus species: oleic acid (918:1), linoleic acid (9,1218:2), and pinolenic acid (5,9,1218:3) (Fig. 2; Table 2). GLC analyses further revealed that these three fatty acids account for about 85 wt.% of the total seed oil content (see Table 1s of the supplementary material which can be found at JXB online). The less abundant fatty acids, each representing 24 wt.% or less of the total oil content, were undetectable with 13C NMR under the experimental conditions employed here due to insufficient sensitivity and overlap with the dominant resonances. The ratios between different fatty acids (oil composition) can be determined by comparing the integral intensities of the individual resonances (see Materials and methods); this method yields reasonably accurate data. Regardless of whether 13C NMR or GLC is used as the method for quantification, it is apparent that the oil compositions were similar in seeds of all four Pinus species studied, with only minor variations in the relative amounts of the individual fatty acids. Remarkably, 13C NMR was successful in detecting these minor variations in the corresponding spectral patterns and the two data sets derived from GLC and NMR correlated almost perfectly (Table 3; Fig. 3s of the supplementary data which can be found at JXB online).
|
Similar spectra for other representatives of the Pinaceae family were generated using single mature dry seeds of western hemlock (Tsuga heterophylla) and Pacific silver fir (Abies amabilis) (Fig. 2) and using Siberian stone pine (Pinus sibirica Du Tour) and Interior white spruce (Picea glauca (Moench) Voss) seeds (data not shown). In the spectrum for Pacific silver fir seeds, the relative amounts of oleic and linoleic fatty acids were somewhat increased at the expense of pinolenic acid (Fig. 2f). Differences in the 13C NMR spectra were much more pronounced in seeds of the non-Pinaceae family, i.e. in seeds of the two species of the Cupressaceae family, yellow-cedar (Chamaecyparis nootkatensis) and western redcedar (Thuja plicata). In particular,
-linolenic acid (9,12,1518:3) was far more abundant than in seeds of the Pinaceae family, while pinolenic acid (5,9,1218:3) was a minor component (Fig. 2). Fatty acid compositions of conifer seeds have been used for chemotaxonomic grouping of the major families and to differentiate further between several genera of the Pinaceae (Wolff et al., 1997
|
Because the intensity of the 1H and 13C NMR spectra is proportional to the amount of the oil in the sample, NMR is a convenient tool to measure the total oil content in seeds in vivo and low-resolution 1H NMR has been approved by the American Oil Chemists' Society for this purpose (AOCS methods Ak3-94, Ak4-95). The close correlation between 13C NMR and GLC data on the oil content of Pinus seeds (Table 3) suggests that 13C NMR is a convenient and accurate method for oil determinations in conifer seeds, but has the additional advantages of being non-destructive and less time-consuming. The spatial distribution of oils in conifer seeds can also be assessed non-invasively via 1H magnetic resonance microimaging (MRI) (Terskikh et al., 2005
13C NMR for detection of breakdown products of reserve mobilization in germinated conifer seeds
In most conifer seeds, mobilization of the major protein and lipid storage reserves commences within the embryo during germination and is probably important for early seedling establishment. In the megagametophyte (which generally comprises the bulk of the seed), it commences after radicle elongation, i.e. it is a post-germinative event. The breakdown products are exported by the megagametophyte and are taken up by the developing seedling where they are used as a nutritive source. Free amino acids, especially arginine, derived from storage protein mobilization, accumulate in both the megagametophyte and seedling and this is accompanied by a marked increase in arginase activity within the cotyledons and epicotyl of the seedling (King and Gifford, 1997
; Todd et al., 2001
). Cytosolic NADP+-linked isocitrate dehydrogenase generates 2-oxoglutarate and thus provides the carbon skeleton for ammonia assimilation and glutamate synthesis through the GS/GOGAT (glutamine synthase/glutamate synthase) cycle (Palomo et al., 1998
). Storage lipids (triacylglycerols) are metabolized by lipases to yield free fatty acids and glycerol. Most of the glycerol and free fatty acids are metabolized to sucrose which is exported to the growing axis (Stone and Gifford, 1999
).
Reserve mobilization during early post-germinative growth is critical for seedling emergence. 13C NMR readily detects some of the products of reserve mobilization; hence the rate of appearance of these breakdown products following germination (detected by this method) could serve as a marker or index of the capacity for seedling emergence/vigour. Developing markers for seedling vigour is important for different conifer seedlots that exhibit marked variation in quality.
Sucrose signals in the 13C MAS NMR spectra are first detected during imbibition of western white pine seeds (Fig. 1b); signals corresponding to sucrose are also present during early post-germinative growth (Fig. 1c). Sucrose was identified by the presence of 12 new lines (close to the region corresponding to glycerol) (
60.4 (C-6), 61.6 (C-1'), 62.6 (C-6'), 69.5 (C-4), 71.3 (C-2), 72.6 (C-5), 72.9 (C-3), 74.3 (C-4'), 76.7 (C-3'), 81.5 (C-5'), 92.3 (C-1), and 103.8 (C-2'). Additional lines from sucrose were also detected by the 1H MAS NMR spectra in the region of 3.53.9 ppm (data not shown). Similarly, dissolved sucrose was found in the 13C NMR spectra of germinating seeds of silver fir (Rutar et al., 1988
) and lodgepole pine (Sayer and Preston, 1996
), and in germinated non-dormant seeds like soybean (Colnago and Seidl, 1983
; Ishida et al., 1987
; Rutar, 1989
). Sucrose probably accumulates during the development of the western white pine seed where it plays a role in the acquisition of desiccation tolerance (see later discussion); upon imbibition of the mature dry seed, the sucrose becomes mobile and is detected in the 13C MAS NMR spectra (Fig. 1b). During post-germinative growth, the sucrose arises from reserve (oil) mobilization, and during this stage the depletion of oil reserves of the western white pine seed was clearly visible in the spectrum. In this regard, the most notable change (i.e. a decreased intensity of bands) occurred in the olefincarbon region; this is particularly evident in Fig. 5, in which the decreased intensity of these signals correlates with increasing radicle length. Despite the decline of oil reserves during mobilization, the ratios of fatty acids (i.e. the fatty acid composition of the seed) did not change significantly.
|
New signals that did not correspond to oils or sucrose were also detected in the spectra of post-germinative seedlings (inset in Fig. 1c); the chemical shifts unequivocally identified two amino acids: arginine (R) (13C NMR:
24.1 (C-
), 27.9 (C-ß), 40.8 (C-
), 54.6 (C-
), 157.1 (C=N), 174.6 (broad, C=O)), and asparagine (N) (13C NMR:
34.9 (C-ß), 51.7 (C-
), 174.6 (broad, C=O)). Arginine in particular was easily identified by a characteristic signal from the terminal N=C moiety at 157.1 ppm (Fig. 1c). Appearance of these two amino acids in the 13C MAS NMR spectra is expected, based on studies of storage protein mobilization in conifer seeds (King and Gifford, 1997
Amino acid signals in the 13C NMR spectra of germinated seeds were also reported for soybeans (Rutar, 1989
; Ishida et al., 1990
) and lodgepole pine seeds (Sayer and Preston, 1996
). However, in these earlier studies the resolution and signal-to-noise ratios were not sufficient to allow for amino acid identification.
In mature seeds of conifers, storage proteins accumulate in protein storage vacuoles (120 µm) as a proteinaceous matrix and a water-insoluble protein aggregate (the crystalloid) (Bewley and Black, 1994
; Kermode, 2003
). Due to their solid nature, 13C NMR signals from protein storage vacuoles can only be detected when a cross-polarization (CP/MAS) technique is applied (Haw and Maciel, 1983
). As discussed above, experimental conditions in this study only detect signals from highly mobile species in the liquid state and the appearance of signals corresponding to free amino acids during early seedling growth can clearly be attributed to protein reserve breakdown. Generally, only two amino acids (arginine and asparagine), were detected by in vivo 13C NMR; however, minor amounts of valine and alanine were also detected in some cases (characteristic signals in the methyl region at 16.517.2 ppm possibly correspond to valine (C-
) and alanine (C-ß) amino acids). Destructive methods for the quantification of amino acids in germinated loblolly pine seeds detected significant amounts of glutamine, in addition to arginine and asparagine (King and Gifford, 1997
). It is very likely that certain amino acids (possibly including glutamine) are undetectable by 13C NMR because they are not in a free liquid state; in addition, the stage of post-germinative growth may determine which free amino acids predominate. Additional 13C MAS NMR experiments will address this question.
The present study demonstrates the advantages of in vivo 13C MAS NMR spectroscopy to study aspects of reserve mobilization. Because of its non-destructive nature, the potential exists for directly relating the process of reserve mobilization to seedling vigour. This technique may well uncover additional basic information on how protein reserves are mobilized in seeds, a subject which is still poorly understood.
13C NMR for detection of stress protectants, sucrose and oleoresin, in dry and imbibed conifer seeds
Another important process during seed development that has an impact on seedling vigour is the accumulation of various macromolecules (including proteins and sugars) that act as protectants, allowing seeds to survive desiccation and other stresses. Sucrose and other sugars (e.g. raffinose and stachyose) that accumulate during seed development (Konradova et al., 2002
) may help to preserve membranes and other cellular constituents during maturation drying (Amuti and Pollard, 1977
; Leopold and Vertucci, 1986
; Carpenter et al., 1987
; Williams and Leopold, 1989
; Leprince et al., 1990
; Koster, 1991
; Blackman et al., 1992
; Close, 1996
; Wolkers et al., 1999
; reviewed in Bewley and Black, 1994
; Kermode and Finch-Savage, 2002
; Kermode, 2005b
).
The first appearance of sucrose in the 13C NMR spectra occurred following imbibition of the western white pine seed, during which time there were no net changes in the oil content or composition (Fig. 1b). Sucrose of the imbibed western white pine seed is obviously in the dissolved liquid state, different from its state in the mature dry seed in which it is undetectable on the 13C NMR spectra. Western white pine seeds are deeply dormant at maturity and operational dormancy-breakage requires not only a lengthy (e.g. 12 d) water soak (imbibition), but a subsequent and lengthy moist-chilling treatment, typically of 98119 d (Feurtado et al., 2003
). In natural stands, moist chilling may be interrupted by periods of dehydration. Thus, one would expect a preservation of stress protectants during this lengthy period in order for the seed to survive following shedding or dispersal when it can be subjected to cycles of desiccationrehydration and other environmental stresses. Indeed, the 13C NMR spectra of imbibed western white pine seeds showed no detectable changes in the oil and sucrose sub-spectra during 3 months of moist-chilling. The availability of dissolved sucrose in the seeds during moist chilling is also probably important to sustain minimal metabolic activity vital for survival. Despite no detectable changes in the oil subspectra during imbibition/moist chilling, the possibility cannot be ruled out that some of the sucrose derives from very limited oil reserve breakdown (Mullen and Gifford, 1997
).
Many conifers produce oleoresin, a complex mixture of mono-, sesqui- and diterpenoids, as a primary defence against certain insect pests and fungal pathogens (Phillips and Croteau, 1999
). Synthesis occurs in a constitutive and inducible manner and the oleoresin generally accumulates at the wound site to kill invaders and both flush and seal the injury (Trapp and Croteau, 2001
). Although toxic to certain insects (e.g. bark beetles) and their vectored fungal pathogens, oleoresin also plays a central role in the chemical ecology of these boring insects, from host selection to pheromone signalling and tritrophic level interactions (reviewed in Trapp and Croteau, 2001
). In some conifers, oleoresin is produced not only in wood, bark, or needles, but also in seeds. In seeds of the true firs, western hemlock and western redcedar, the oleoresin accumulates in specialized resin vesicles which form early in seed development within the middle or outer layer of the seed coat; generally the resin vesicles are more abundant on the lower surface of the seed (formerly in contact with the ovuliferous scale) (Kolotelo, 1997
). The role of resin vesicles of seeds is unknown. They have been implicated in various processes including pathogen defence, preventing germination in the fall, protecting the embryo and seed from excessive drying and coat-imposed dormancy (Kolotelo, 1997
). When resin vesicles are damaged during seed processing, the result is generally a decline in seed germination.
Because the oleoresin of resin vesicles is a low-viscous liquid, it can be detected by high-resolution 13C MAS NMR spectra in vivo (Fig. 6). The most abundant terpenes detected in seeds of Pacific silver fir, western hemlock, and western redcedar were the monoterpene olefins (C10H20), including limonene, myrcene,
- and ß-pinenes, and thujone (Table 4). Thujone, a monoterpene was found in considerable amounts exclusively in seeds of western redcedar; as reported for Thuja spp., in oil extracted from western redcedar needles, thujone accounts for 6585 wt.% of all terpenes (Rudloff et al., 1988
). Two monoterpenes,
-pinene and ß-pinene, appeared to be present in about equal proportions in seeds of western hemlock (Table 4); these same monoterpenes predominated in emissions from western hemlock trees (Pressley et al., 2004
).
|
|
The most complex mixture of monoterpenes was found in seeds of Pacific silver fir in which limonene, myrcene,
-pinene, and ß-pinene were detected (Table 4). However, these compounds occurred in varying amounts in individual seeds of the same seed lot (Fig. 6), such that generally only one or two monoterpenes predominated. Previously, 13C NMR detected only limonene in silver fir seeds (Rutar et al., 1988| Conclusions |
|---|
|
|
|---|
The successful establishment of the new plant, both temporally and spatially, as well as the vigour of the young seedling is largely determined by processes that occurred earlier, during seed maturation. In particular, the accumulation of reserves ultimately allows the seedling to survive before it commences photosynthesis and autotrophic growth; likewise the synthesis of protective compounds allows the seed to withstand some degree of water loss and to survive for long periods under adverse environmental conditions. Most seeds also accumulate toxic compounds during development, many of which confer some resistance to pathogens, insects, and herbivores. A systematic 13C NMR profiling of several primary and secondary metabolites detectable in vivo has been performed in whole intact seeds of eight conifer species as a means of selecting suitable markers for seedling vigour. In vivo 13C NMR provided reliable quantitative information on the total oil content of conifer seeds as well as allowing for accurate determinations of the fatty acid composition of the major storage lipids (triglycerides). Furthermore, the data generated by NMR correlated very well with that generated by the more traditional analyses (GLC and lipid quantification of seed extracts by biochemical methods). In vivo 13C NMR was also successful in detecting and identifying some of the products of reserve mobilization during early post-germinative seedling growth, including the free amino acids, arginine and asparagine, released by cleavage of storage protein reserves. Conifer seedling vigour (especially emergence) is critically dependent on the quantity of seed reserves accumulated during seed maturation as well as on the rate of reserve breakdown following germination; thus the sensitive and non-destructive detection of oil reserves and products of storage protein breakdown (in mature dry seeds and germinated seeds, respectively) are key to the development of markers for seed quality.
Finally, NMR was also useful for detecting the presence of protective compounds in conifer seeds, including a putative desiccation protectant (sucrose) and complex terpenoid mixtures (oleoresin) effective in warding off bark beetle pests and their vectored fungal pathogens. With respect to the latter, in vivo 13C NMR provided the terpene composition within an individual seed and was further capable of discerning the variability in monoterpenes between individual Pacific silver fir seeds, even within the same seed lot, a factor which may, in part, determine differences in survival/performance.
The non-destructive nature of NMR spectroscopy allows studies on the same seed throughout the course of imbibition, moist-chilling, and germination/post-germinative growth, thus providing less ambiguous metabolic information compared with that generated from destructive biochemical analyses. One potential application of using NMR as a screening tool is the optimization of environmental conditions in tree seed orchards for achieving maximum production of high quality seeds (i.e. those that yield the highest accumulation of reserves and stress protectants in conifer seeds). 1H and 13C NMR also hold promise as tools for the rapid screening of conifer seeds to identify/predict those seed lots with compromised viability due to developmental problems or as a result of deterioration during prolonged seed storage.
| Supplementary material |
|---|
|
|
|---|
Detailed results of the total lipid and fatty acid methyl ester (FAME) analysis in seeds of four Pinus species, a correlation between GLC and NMR data, and some 13C MAS NMR spectra recorded for dry western white pine seeds are provided as supplementary data associated with this article and are available at JXB online.
| Acknowledgements |
|---|
We are grateful to Dave Kolotelo and Dean Christianson (of the BC Ministry of Forests Tree Seed Center, Surrey, Canada) and to Gary Delaney (of the Louisiana Forest Seed Company, Lecompte, LA, USA) for their help in obtaining seeds, and, in addition, to DK for valuable comments. Thanks are also extended to Brock Chatson (Plant Biotechnology Institute, Saskatoon, Canada) for his assistance with some of the NMR experiments. This research is supported by a Natural Sciences and Engineering Research Council of Canada (NSERC) Strategic grant awarded to ARK, SRA and others.
| References |
|---|
|
|
|---|
Amuti KS, Pollard CJ. 1977. Soluble carbohydrates of dry and developing seeds. Phytochemistry 16, 529532.[CrossRef][Web of Science]
Barba I, Gasparovic C, Cabañas ME, Alonso J, Murillo I, San Segundo B, Arús C. 1997. Measurement of intracellular pH of maize seeds (Zea mays) during germination by 31P nuclear magnetic resonance spectroscopy. Cellular and Molecular Biology 43, 609620.[Web of Science][Medline]
Bardet M, Foray MF. 2003. Discrimination of 13C NMR signals in solid material with liquid-like behavior presenting residual dipolar protonproton homonuclear interactions: application on seeds. Journal of Magnetic Resonance 160, 157160.
Bardet M, Foray MF, Bourguignon J, Krajewski P. 2001. Investigation of seeds with high-resolution solid-state 13C NMR. Magnetic Resonance in Chemistry 39, 733738.[CrossRef][Web of Science]
Bates S, Lait C, Borden JH, Kermode AR. 2001. Effect of feeding by the western conifer seed bug, Leptoglossus occidentalis (Heteroptera: Coreidae) on the major storage reserves of developing seeds and seedling vigor in Douglas-fir (Pinaceae). Tree Physiology 21, 481487.[Abstract]
Bewley JD, Black M. 1994. Seeds: physiology of development and germination, 2nd edn. New York: Plenum Press.
Blackman SA, Obendorf RL, Leopold AC. 1992. Maturation proteins and sugars in desiccation tolerance of developing soybean seeds. Plant Physiology 100, 225230.
Carpenter JF, Crowe LM, Crowe JH. 1987. Stabilization of phosphofructokinase with sugars during freeze drying: characterization of enhanced protection in the presence of divalent cations. Biochimica et Biophysica Acta 923, 109115.[Medline]
Close TJ. 1996. Dehydrins: emergence of a biochemical role of a family of plant dehydration proteins. Physiologia Plantarum 97, 795803.[CrossRef]
Colnago LA, Seidl PR. 1983. Application of carbon-13 nuclear magnetic resonance to the germination of soybean seeds in vivo. Journal of Agricultural and Food Chemistry 31, 459461.[CrossRef]
Fan TWM. 1996. Recent advances in profiling plant metabolites by multi-nuclear and multi-dimensional NMR. In: Shachar-Hill Y, Pfeffer PE, eds. Nuclear magnetic resonance in plant biology. The American Society of Plant Physiologists, 181254.
Ferreira MJP, Emerenciano VP, Linia GAR, Romoft P, Macari PAT, Rodrigues GV. 1998. 13C NMR spectroscopy of monoterpenoids. Progress in Nuclear Magnetic Resonance Spectroscopy 33, 153206.[CrossRef][Web of Science]
Feurtado JA, Xia J-H, Ma Y, Kermode AR. 2003. Increasing the temperature of the water soak preceding moist-chilling promotes dormancy-termination of seed of western white pine (Pinus monticola Dougl.). Seed Science and Technology 31, 275288.
Gambhir PN, Pande PC, Ratcliffe RG. 1997. An in vivo 31P NMR study of the phosphorus metabolites in developing seeds of wheat, soybean and mustard. Magnetic Resonance in Chemistry 35, S125S123.[CrossRef][Web of Science]
Haw JF, Maciel GE. 1983. Carbon-13 nuclear magnetic resonance spectrometry of oil seeds with cross polarization and magic-angle spinning. Analytical Chemistry 55, 12621267.[CrossRef]
Hayamizu H. 2001. An input tool by a personal computer for the NMR spectral database (SDBS-NMR). Journal of Computer Aided Chemistry 2, 110. http://www.aist.go.jp/RIODB[CrossRef]
Huang AHC. 1996. Oleosins and oil bodies in seeds and other organs. Plant Physiology 110, 10551061.[CrossRef][Web of Science][Medline]
Hutton WC, Garbow JR, Hayes T. 1999. Non-destructive determination of seed-oil composition in transformed canola seed. Lipids 34, 13391346.[CrossRef][Web of Science][Medline]
Ishida N, Kano H, Kobayashi T, Hamaguchi H, Yoshida T. 1987. Estimation of biological activities by NMR in soybean seeds during maturation. Agricultural and Biological Chemistry 51, 301307.[Web of Science]
Ishida N, Kobayashi T, Masuda R, Kano H, Yoshida T, Ogawa H. 1990. Tracing metabolic changes in soybean cotyledons during germination by NMR. Agricultural and Biological Chemistry 54, 13591365.[Web of Science]
Kermode AR. 2003. Seed development. Physiology of maturation. In: Thomas B, Murphy D, Murray B, eds. Encyclopedia of applied plant sciences. UK: Academic Press, 12611279.
Kermode AR. 2004. Developmental traits. Germination. In: Klee H, Christou P, eds. Handbook of plant biotechnology. UK: John Wiley & Sons, 673713.
Kermode AR. 2005a. Development, germination and growth of gymnosperm seeds. In: Bewley JD, Black M, Halmer P, eds. The encyclopedia of seeds: science, technology and uses. Oxon, UK: CABI Publishing (in press).
Kermode AR. 2005b. Seed development and maturation. In: Bewley JD, Black M, Halmer P, eds. The encyclopedia of seeds: science, technology and uses. Oxon, UK: CABI Publishing (in press).
Kermode AR, Finch-Savage W. 2002. Desiccation sensitivity in orthodox and recalcitrant seeds in relation to development. In: Black M, Pritchard H, eds. Desiccation and plant survival. Oxon, UK: CABI Publishing, 149184.
Kime MJ, Ratcliffe RG, Williams RJP, Loughman BC. 1982. The application of 31P nuclear magnetic resonance to higher plant tissue. I. Detection of spectra. Journal of Experimental Botany 33, 656669.
King JE, Gifford DJ. 1997. Amino acid utilization in seeds of loblolly pine during germination and early growth. I. Agrinine and arginase activity. Plant Physiology 113, 11251135.[Abstract]
Kolotelo D. 1997. Anatomy and morphology of conifer tree seed. Forest Nursery Technical Series 1.1. Surrey, Canada: British Columbia Ministry of Forests.
Kolotelo D, Van Steenis E, Peterson M, Bennett R, Trotter D, Dennis J. 2001. Seed handling guidebook. Surrey, Canada: British Columbia Ministry of Forests.
Konradova H, Lipavska H, Albrechtova J, Vreugdenhil D. 2002. Sucrose metabolism during somatic and zygotic embryogenesis in Norway spruce: content of soluble saccharides and localization of key enzyme activities. Journal of Plant Physiology 159, 387396.[CrossRef][Web of Science]
Koster KL. 1991. Glass formation and desiccation tolerance in seeds. Plant Physiology 96, 302304.
Krishnan P, Kruger NJ, Ratcliffe RG. 2005. Metabolite fingerprinting and profiling in plants using NMR. Journal of Experimental Botany 56, 255265.
Leopold AC, Vertucci CW. 1986. Physical attributes of desiccated seeds. In: Leopold AC, ed. Membranes, metabolism and dry organisms. Ithaca, New York: Cornell University Press, 2234.
Leprince O, Bronchart R, Deltour R. 1990. Changes in starch and soluble sugars in relation to the acquisition of desiccation tolerance during maturation of Brassica campestris seed. Plant, Cell and Environment 13, 539546.
Mullen RT, Gifford DJ. 1997. Regulation of two loblolly pine (Pinus taeda L.) isocitrate lyase genes in megagametophytes of mature and stratified seeds and during postgerminative growth. Plant Molecular Biology 33, 593604.[CrossRef][Web of Science][Medline]
Palomo J, Gallardo F, Suarez MF, Canovas FM. 1998. Purification and characterization of NADP+-linked isocitrate dehydrogenase from Scots pine. Plant Physiology 118, 617626.
Pawuk WH. 1993. Germination of Alaska-cedar seed. Tree Planters' Notes 44, 2124.
Phillips MA, Croteau RB. 1999. Resin-based defences in conifers. Trends in Plant Science 4, 184190.[CrossRef][Web of Science][Medline]
Pressley S, Lamb B, Westberg H, Guenther A, Chen J, Allwine E. 2004. Monoterpene emissions from a Pacific Northwest Old-Growth Forest and impact on regional biogenic VOC emission estimates. Atmospheric Environment 38, 30893098.[CrossRef]
Ratcliffe RG, Roscher A, Shachar-Hill Y. 2001. Plant NMR spectroscopy. Progress in Nuclear Magnetic Resonance Spectroscopy 39, 267300.[CrossRef][Web of Science]
Ratcliffe RG, Shachar-Hill Y. 2001. Probing plant metabolism with NMR. Annual Review of Plant Physiology and Plant Molecular Biology 52, 499526.[CrossRef][Web of Science][Medline]
Ridenour CF. 1992. Solid-state NMR and NMR imaging studies of seed germination and aging (barley). PhD thesis, Colorado State University.
Ridenour CF, Xiong J, Maciel GE. 1996. Investigation of germination and aging in Moravian III barley grain by nuclear magnetic resonance. Biophysical Journal 70, 511531.[Web of Science][Medline]
Rudloff EV, Lapp MS, Yeh FC. 1988. Chemosystematic study of Thuja plicata: multivariate analysis of leaf oil terpene composition. Biochemical Systematics and Ecology 16, 119125.[CrossRef][Web of Science]
Rutar V. 1989. Magic angle sample spinning NMR spectroscopy of liquids as a nondestructive method for studies of plant seeds. Journal of Agricultural and Food Chemistry 37, 6770.[CrossRef]
Rutar V, Kovac M, Lahajnar G. 1988. Improved NMR spectra of liquid components in heterogeneous samples. Journal of Magnetic Resonance 80, 133138.[Web of Science]
Rutar V, Kovac M, Lahajnar G. 1989. Nondestructive study of liquids in single fir seeds using nuclear magnetic resonance and magic angle sample spinning. Journal of the American Oil Chemists' Society 66, 961965.[CrossRef][Web of Science]
Sayer BG, Preston CM. 1996. A carbon-13 magic angle spinning nuclear magnetic resonance study of the germination of conifer seeds. Seed Science and Technology 24, 321329.
Schaefer J, Stejskal EO. 1974. Determination of oil, starch, and protein content of viable intact seeds by carbon-13 nuclear magnetic resonance. Journal of the American Oil Chemists' Society 51, 562563.[CrossRef][Web of Science]
Shachar-Hill Y. 2002. Nuclear magnetic resonance and plant metabolic engineering. Metabolic Engineering 4, 9097.[CrossRef][Web of Science][Medline]
Shachar-Hill Y, Pfeffer PE (eds). 1996. Nuclear magnetic resonance in biology. In: Current topics in plant physiology, Vol. 16. Rockville, Maryland, USA: American Society of Plant Physiologists.
Stone SL, Gifford DJ. 1999. Structural and biochemical changes in loblolly pine (Pinus taeda L.) seeds during germination and early seedling growth. II. Storage triacylglycerols and carbohydrates. International Journal of Plant Sciences 160, 663671.[CrossRef]
Terskikh VV, Feurtado JA, Ren C, Abrams SR, Kermode AR. 2005. Water uptake and oil distribution during imbibition of seeds of western white pine (Pinus monticola Dougl. ex D. Don) monitored in vivo using magnetic resonance imaging. Planta 221, 1727.[CrossRef][Web of Science][Medline]
Todd CD, Cooke JEJ, Mullen RT, Gifford DJ. 2001. Regulation of loblolly pine (Pinus taeda L.) arginase in developing seedling tissue during germination and post-germinative growth. Plant Molecular Biology 45, 555565.[CrossRef][Web of Science][Medline]
Trapp S, Croteau R. 2001. Defensive resin biosynthesis in conifers. Annual Review of Plant Physiology and Plant Molecular Biology 52, 689724.[CrossRef][Web of Science][Medline]
Wenkert E, Buckwalter BL, Burfitt IR, Gasic MJ, Gottlieb HE, Hagaman EW, Schell FM, Wovkulich PM. 1976. Carbon-13 nuclear magnetic resonance spectroscopy of naturally occurring substances. In: Levy GC, ed. Topics in carbon-13 NMR spectroscopy. New York, USA: Willey, 81121.
Williams RJ, Leopold AC. 1989. The glassy state in corn embryos. Plant Physiology 89, 977981.
Wolkers WF, Tetteroo FA, Alberda M, Hoekstra FA. 1999. Changed properties of the dried carrot somatic embryos. An in situ Fourier transform infrared microspectroscopy study. Plant Physiology 120, 153164.
Wolff RL, Bayard CC. 1995. Fatty acid composition of some pine seed oils. Journal of the American Oil Chemists' Society 72, 10431046.[CrossRef][Web of Science]
Wolff RL, Deluc LG, Marpeau AM. 1996. Conifer seeds: oil content and fatty acid composition. Journal of the American Oil Chemists' Society 73, 765771.[CrossRef][Web of Science]
Wolff RL, Deluc LG, Marpeau AM, Comps B. 1997. Chemotaxonomic differentiation of conifer families and genera based on the seed oil fatty acid composition: multivariate analyses. Trees 12, 5765.[CrossRef]
Wolff RL, Pedrono F, Pasquier E, Marpeau AM. 2000. General characteristics of Pinus spp. seed fatty acid composition, and importance of
5-olefinic acids in the taxonomy and phylogeny of the genus. Lipids 35, 122.[Web of Science][Medline]
Wollenberg K. 1991. Quantitative triacylglycerol analysis of whole vegetable seeds by 1H and 13C Magic Angle Sample Spinning NMR Spectroscopy. Journal of the American Oil Chemists' Society 68, 391400.[CrossRef][Web of Science]
Zavarin E, Snajberk K, Critchfield WB. 1973. Monoterpene variability of Abies amabilis cortical oleoresin. Biochemical Systematics 1, 8793.
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
V. V. Terskikh, Y. Zeng, J. A. Feurtado, M. Giblin, S. R. Abrams, and A. R. Kermode Deterioration of western redcedar (Thuja plicata Donn ex D. Don) seeds: protein oxidation and in vivo NMR monitoring of storage oils J. Exp. Bot., March 1, 2008; 59(4): 765 - 777. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||






