Shyam K. Agrawal1, Ganesh K.
Agrawal1 and Vishwanath P. Agrawal1,2
1 Research
Laboraory for Agricultural Biotechnology and Biochemistry (RLABB), P.O. Box
2128, Kathmandu, Nepal; 2 Royal Nepal Academy of Science and
Technology (RONAST). P. O. Box 3323, Khumaltar, Lalitpur, Nepal
The present biochemical method involves quantification of Ribulose-
1,5-biphosphate carboxylase/oxygenase (RuBisCo).
It is a simple, sensitive, rapid
and a non-destructive method for
screening of cold tolerance in rice (Oryza sativa L.). Using this method, rice
lines can be categorized into cold tolerant (CT), moderately cold tolerant (MCT),
and cold sensitive (CS). In this method, 12 day old rice seedlings grown at 26ºC
are treated at 12ºC for 5 days under a 12/12 h light/dark regime, and the level
of total RuBisCo is measured by sodium dodecyl sulphate-polyacrylamide gel
electrophoresis (SDS-PAGE) of leaf protein followed by coomassie staining with
subsequent determination of absorbance at 595 nm of the dye eluted from the
bands of large and small subunits (LSU and SSU) of RuBisCo. Verification of this
method has been done with 60 rice cultivars of different genotypes including CT,
MCT, and CS cultivars. This RuBisCo method provides a convenient, inexpensive,
and reliable biochemical procedure for distinguishing rice varieties on basis of
cold tolerance and/or sensitivity. This is the also the first and only known
method till date for screening of cold tolerance in rice.
INTRODUCTION
The enzyme Ribulose-1,5-bisphosphate
carboxylase/oxygenase (usually called RuBisCo, EC: 4.1.1.39), one of the most
abundant proteins in the biosphere plays a pivotal role in photosynthesis,
essential for almost all life on earth, as the carbohydrates produced during
photosynthesis are the ultimate source of energy for virtually all
non-photosynthetic organisms. It forms the bridge between life and the lifeless,
creating organic carbon from the inorganic carbon dioxide in the air. The dark
phase of photosynthesis, called the Calvin cycle, starts with the reaction of
carbon dioxide and ribulose 1,5-bisphosphate to form two molecules of
3-phosphoglycerate, a highly exergonic reaction (DGº`
= -12.4 kcal/mol) catalyzed by RuBisCo . This enzyme is located on the stromal
surface of thylakoid membranes (Stryer 1995). In spite of its central role, RuBisCo is remarkably
inefficient. Typical enzymes can process thousand molecules per second, but
RuBisCo fixes only about three carbon dioxide molecules per second. Plant cells
compensate for this slow rate by building lots of the enzyme. Chloroplasts are
filled with RuBisCo, which comprises half of the protein. This makes RuBisCo the
most plentiful single enzyme on the Earth. RuBisCo in chloroplasts consists of
eight large subunits (L, 55 kDa) and eight small ones (S, 13 kDa). Each L chain
contains a catalytic site and a regulatory site. The S chains enhance the
catalytic activity of the L chains.
Rice, one of the most important cereal crops, is the basic food of more
than 3 billion people and it accounts for 50-80% of their daily calories intake.
Besides its immense economical importance, rice has become a model system for
genomics because of its relatively small genome size of 440 mega base pairs in
the graminaceous family, and because of its closeness to other major cereal
crops (Gale and Devos, 1998).
Cold temperature, a common environmental stress in the temperate regions,
affects several biochemical, physiological and metabolic functions in plants
(Murata, 1969; Levitt, 1980; Wang, 1982; Murata and Yamada, 1984; Roughan, 1985;
Guy, 1990). Many plants of tropical origin cannot tolerate cold and can be
damaged even at moderate temperatures that are below 20ºC (Graham and
Patterson, 1982). Photosynthesis is one of the first processes to be affected
when cold sensitive plants are exposed to low temperature (Levitt, 1980; Wang,
1982).
It has been reported that in rice plants growth rate and metabolism are markedly
inhibited even at temperatures above the chilling temperature in the range of
15-20ºC (Kabaki et. al., 1982; Takanashi et. al., 1987) but the mechanism for
the effects of low temperature
stress on growth and the accompanying metabolic changes remains unclear. It is
generally recognized that the patterns of protein synthesis and mRNA level
change when plants are exposed to cold temperatures (Thomashow, 1990; Koga-ban
et. al., 1991). It has been shown earlier that cold treatment at seedling stage
suppresses mRNA and protein levels of both large and small subunits
of RuBisCo in rice and this suppression of protein level is more pronounced in
the cold sensitive rice cultivars
than in cold tolerant rice cultivars (Hahn and Walbot, 1989). Komatsu et al
(1999) have reported that under cold stress RuBisCo is strongly phophorylated in
cold tolerant rice compared to cold sensitive rice.
To improve rice cultivars against cold, traditional breeding can take several
years to bring about any fruitful results. Therefore, tissue culture based
techniques will be needed to reduce the time period required to release an
improved rice variety/ cultivar. However, one of the serious problems of tissue culture based techniques is the “somaclonal
variation”. Somaclonal variation is defined as
genetic and phenotypic variation among clonally propagated plants of a
single donor clone (Veilleux and Johnson, 1998; Olhoft and Phillips, 1999;
Matzke and Matzke, 2000). Keeping the above problem(s) in mind, suitable
biochemical and molecular marker(s) are needed for efficient screening of
regenerated plants from tissues culture. To the best of our knowledge, there is
no method available so far for screening of cold tolerance in rice, and in
plants, in general.
The main aim
of the resent research is to study the
response of RuBisCo to cold stress and thus to develop an appropriate
biochemical marker for screening of cold tolerance in rice seedlings.
MATERIALS
AND METHODS
SEED COLLECTION
Rice seeds were obtained from National Agriculture Research Council (NARC),
Kathmandu, Nepal and International Rice Research Institute (IRRI), Philippines.
Classification of rice cultivars in
CT, MCT, and CS categories were done on the basis of agronomic history and
supplier’s recommendations/suggestions. Rice seeds were grown under controlled
conditions (12h/12h Light/Dark regime) for 12 days in jars on moist filter
papers at 26ºC.
COLD TREATMENT
Cleaned 12 day old seedlings (two leaf stage) were introduced into test tubes
(25 x 150 mm) containing 10 ml Yoshida's nutrient solution (Yoshida et al,
1976) containing 114 ppm ammonium nitrate, 50 ppm sodium dihydrogen phosphate
dihydrate, 89 ppm potassium sulfate, 111 ppm calcium chloride, 405 ppm magnesium
sulfate 7 H2O) and micro nutrients and subjected to cold by shifting
to a constant temperature of 12ºC (12h/12h Light/Dark regime) for 5 days. For
control, seedlings were grown for the same interval at 26ºC Yoshida` solution
was changed every alternate day.
SAMPLE PREPARATION
Leaves of rice seedlings (20 mg) were
ground at room temperature in 1 ml of grinding buffer [100 mM sodium phosphate
buffer (pH 7.0) containing 0.7% 2-mercaptoethanol, 1 mM phenylmethylsulfonyl
fluoride (PMSF)]. After centrifugation, 78 μl supernatant was mixed with 22
μl blue juice [9% (v/v) 2-mercaptoethanol, 22.7% (w/v) sucrose, 4.5% (w/v)
SDS and 0.01% (w/v) bromophenol blue], and samples were heated in boiling water
bath for 30 seconds. Protein determination with rest of the untreated
supernatant was done according to Bradford method (1976) using BSA as a
standard. To avoid variation, if any, among the seedlings, leaves of five
individual seedlings were ground together.
SDS-PAGE
Sodium dodecylsulfate-polyacrylamide gel
electrophoresis (SDS-PAGE) was performed as described previously (Blackshear,
1984). The gel system consisted of
a 15% (w/v) resolving polyacrylamide gel (pH 8.9) and 3.04% (w/v) stacking
polyacrylamide gel (pH 6.9), respectively. Lengths
of resolving and stacking gels were 10 and 2 cm, respectively. Fifteen
microliter of prepared sample was loaded per well and the electrophoresis was
carried out at room temperature at a constant voltage of 100 and 125 V for
stacking and resolving gels, respectively. The electrophoresis was carried out
until the dye (bromophenol blue) migrated 9.5 cm into the resolving gel.
DETERMINATION OF
AMOUNTS OF LSU AND SSU IN PAGE BANDS
In order to stain LSU
and SSU of RuBisCo, a direct staining method reported by Zehr et al. (1989) was
used with some modification. For quantification of dye content of stained LSU
and SSU bands, the method of Ball (1986) was used.
· Soak the gels after PAGE in 20% TCA for 1 hr.
· Wash the gels with H2O three times for 5 minutes each.
· Lightly agitate the gels for 24 hrs. in a staining solution containing 0.002% coomasie brilliant blue R-250, 10% ethanol and 5% acetic acid.
· Carefully cut out the stained bands corresponding to large and small subunits of RuBisCo from the gel with razor blade and introduce in a screw cap glass test tubes (7 x 100 mm) having 3 ml of eluting dye solution (3% SDS in 50% isopropanol).
· Tightly close the screw cap of the tube and incubate it at 370C in water bath for 24h without agitation.
· Measure the absorbance of the resulting solution at 595 nm. And calculate the amount of protein from a calibration curve.
LSU(%) or SSU(%)
= 100 x A595 (cold
treated sample)
A595(control sample)
Total RuBisCo (%) = [LSU (%) + SSU (%)] / 2
RESULTS AND DISCUSSION
The main
purpose of this study was to directly compare the effect of cold on levels of
LSU and SSU of RuBisCo in CT, MCT, and CS rice cultivars in order to develop a
biochemical marker for cold tolerance. For this purpose, 12 day old rice
seedlings grown at 26ºC were treated at 12ºC (12h/12h Light/Dark regime) for 5
days and the levels of LSU and SSU of RuBisCo were measured by SDS-PAGE (Figure
1) with subsequent quantitative estimation of protein level by eluting dye from
the LSU and SSU bands of RuBisCo (Table I).
Table
I : Quantitative analysis of effect of cold on RuBisCo LSU and SSU protein
bands of Rice cultivars
|
Cultivars Name |
Cold Tolerancea
|
LSU
(%) |
SSU
(%) |
Total LSU+SSU (%) |
Cold Toleranceb |
|
Jumli Marshi (CT) |
CT |
130 |
115 |
122.5 |
CT |
|
Chhomrong (CT) |
CT |
169 |
135 |
152 |
CT |
|
Mansari (CS) |
CS |
25 |
40 |
32.5 |
CS |
|
Mansuli (CS) |
CS |
30 |
45 |
37.5 |
CS |
|
NRCTN 13 (CS) |
CS |
38 |
50 |
44 |
CS |
|
NR 10196 (CS) |
CS |
33 |
50 |
41.5 |
CS |
|
Harinkhel (CS) |
CS |
17 |
75 |
46 |
CS |
|
Stejaree45 (MCT) |
MCT |
90 |
86 |
88 |
MCT |
|
Bage (CS) |
CS (CS) |
31 |
46 |
38.5 |
CS |
|
Darat (MCT) |
MCT |
79 |
75 |
77 |
MCT |
|
Basmati (CS) |
CS |
40 |
30 |
35 |
|
Values given in
parenthesis are based on the agronomic characteristics.
a Classification
on the basis of visual estimation of the LSU and SSU bands separated by SDS –
PAGE - coomasie staining; b Classification
on the basis of
dye estimation of LSU and SSU bands separated by SDS – PAGE - coomasie
staining.
It was
observed that due to cold stress levels of both subunits drastically decreased
in CS, remained almost constant or slightly suppressed in MCT and increased in
CT lines (Figure 1 & Table I ). It is the first report to the best of our
knowledge on the cold induced increase in RuBisCo LSU and SSU in rice and in
plants in general.
Cold induced decrease in levels of RuBisCo subunits can be explained in terms of
(a) decreased mRNA and protein synthesis (Hahn and Walbot, 1989), (b)
degradation by proteolytic enzymes known to be present in chloroplats (Yoshida
and Minamikawa,1996, Musgrove et. al., 1989; Bushnell et. al., 1993) and (c)
damage under oxidative stress (Desimone
et. al., 1996; Ishida et.al., 1997, Stadtman, 1990).
Table II:
Classification of Rice cultivars in cold tolerant (CT), moderately cold
tolerant (MCT) and cold sensitive (CS) groups using RuBisCo method
|
S. No. |
Name of cultivars |
Cold Tolerance* 1 |
Cold Tolerance* 2 |
|
1. |
Jumli Marshi |
CT |
CT |
|
2. |
Chhomrong |
CT |
CT |
|
3. |
IR-15579-166 |
-- |
CT |
|
4. |
ACC-01249 |
MCT |
CT |
|
5. |
Kuria |
-- |
MCT |
|
7. |
Tika |
-- |
MCT |
|
8. |
Bageri |
-- |
MCT |
|
9. |
80023-PR |
-- |
MCT |
|
10 |
HR-4856 |
-- |
MCT |
|
11. |
Stegaree-45 |
MCT |
MCT |
|
12 |
Darat |
MCT |
MCT |
|
13 |
Himali |
MCT |
MCT |
|
14 |
NR-8 |
-- |
MCT |
|
15. |
Pokhereli Masino |
CS |
MCT |
|
16. |
Mansari |
CS |
CS |
|
17 |
Mansuli |
CS |
CS |
|
18 |
Basmati |
CS |
CS |
|
19 |
Harinkhel |
-- |
CS |
|
20 |
IR-36 |
CS |
CS |
|
21 |
Semati |
-- |
CS |
|
22 |
Khumal-2 |
-- |
|
|
23 |
Nanki |
-- |
CS |
|
24 |
NR-10157-28-17-2 |
MCT |
CS |
|
25 |
Jaswa |
-- |
CS |
|
26. |
20-44 |
-- |
CS |
|
27 |
Nundhan |
-- |
CS |
|
28 |
HSA-225 |
-- |
CS |
|
29 |
HSC-447 |
-- |
CS |
|
30 |
Rodina |
CT |
CS |
|
31 |
NRCTN-13 |
MCT |
CS |
|
32 |
NR-10196 |
-- |
CS |
|
33 |
Bage |
CT |
CS |
|
34 |
IRGC-36795 |
CT |
CT |
|
35 |
IRGC-10032 |
CT |
CT |
|
36 |
IRGC-34010 |
CT |
CT |
|
37 |
IRGC-11371 |
CT |
CT |
|
38 |
IRGC-53020 |
CT |
MCT |
|
39 |
IRGC-45355 |
CT |
MCT |
|
40 |
IRGC-50785 |
CT |
MCT |
|
41 |
IRGC-10049 |
CT |
MCT |
|
42 |
IRGC-36794 |
CT |
MCT |
|
43 |
IRGC-45356 |
CT |
CS |
|
44 |
Lamjunge local |
CT |
MCT |
|
45 |
Jinuwa |
CT |
MCT |
|
46 |
Thude Juwari |
CT |
CS |
|
47 |
Thulo Juwari |
CT |
CS |
|
48 |
Salyan Juwari |
CT |
MCT |
|
49 |
Pakhe Takmare |
CT |
CT |
|
50 |
Bhalu Sionjali |
CT |
CS |
|
51 |
Rato bhatte dhan |
CT |
CT |
|
52 |
Bhatte Dhan |
CT |
CT |
|
53 |
Kalo Dhan |
CT |
MCT |
|
54 |
Sinjali |
CT |
MCT |
|
55 |
Ratodarmali |
CT |
CS |
|
56 |
Rato Dhan |
CT |
CT |
|
57 |
Takmare |
CT |
MCT |
1 On
the basis of agronomic history, suppliers’ recommendations and l and
suggestions of local people.
2 On the basis of
RuBisCo method. S.No. 1-33: obtained from NARC, S.No. 34-43: received from IRRI.,
S.No. 44-57: collected by RLABB.
Using this method (SDS-PAGE followed by dye estimation) 60
rice cultivars were screened for their cold tolerance and grouped into CT
(LSU + SSU > 100% of the control), MCT (LSU + SSU = 50 - 100% of the
control), and CS (LSU + SSU < 50% of the control). Results obtained
revealed that RuBisCo method (visual
estimation of the bands separated by SDS-PAGE or quantitative estimation
of dye eluted from LSU and SSU bands) compares satisfactorily with the suppliers
recommendation/agronomic history (Table I1 ).
Finally, the results indicate that the effect of cold can be used to
identify CS and CT rice. Moreover, the RuBisCo method can be used for relatively
rapid screening of rice genotypes. The added advantage is that this method is
non-destructive, that is, after screening seedlings for cold tolerance /
sensitivity, the seedlings can be further grown in pots or fields for seed
multiplication or breeding purposes.
To the best of our knowledge, this is
the first report of any biochemical method capable of classifying unequivocally
rice genotypes in CT, MCT, and CS. Moreover, this is also the first time that
any one has reported cold induction of RuBisCo in rice.
CONCLUSIONS
The results presented in this study show, firstly a novel RuBisCo method for screening cold tolerance/sensitivity in rice seedlings, and secondly present a reliable, cheap and efficient biochemical method for determining cold tolerance or sensitivity in plants.
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a based on SKA’s M.Sc. thesis submitted to the Central Department of Chemistry, Tribhuvan University, Kathmandu, Nepal
Abbreviations : NARC Nepal Agricultural Research Council, CT colt tolerant, MCT moderately cold tolerant, CS cold sensitive, RuBisCO ribulose-1,5-bisphopsphate carboxylase/oxygenase, LSU large subunit of RuBisCo, SSU small subunit of RuBisCo, SDS –PAGE sodium dodecylsulphate polyacrylamide gel electrophoresis