First published online November 14, 2002; 10.1104/pp.009969
Plant Physiol, December 2002, Vol. 130, pp. 1706-1716
Expressed Sequence Tag-Based Gene Expression Analysis under
Aluminum Stress in Rye1,[w]
Miguel A. Rodriguez
Milla,
Ed
Butler,2
Alicia
Rodriguez
Huete,
Cindy F.
Wilson,
Olin
Anderson, and
J. Perry
Gustafson*
Departments of Agronomy (M.A.R.M., J.P.G.), and Biochemistry
(A.R.H.), and United States Department of Agriculture-Agricultural
Research Service, Plant Genetics Research Unit (J.P.G.), University of
Missouri, Columbia, Missouri 65211; Genetic Resources Conservation
Program, University of California, Davis, California 95616 (E.B.,
C.F.W.); and United States Department of Agriculture-Agricultural
Research Service, Pacific West Area, Western Regional Research Center,
Albany, California 94710 (O.A.)
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ABSTRACT |
To understand the mechanisms responsible for aluminum (Al) toxicity
and tolerance in plants, an expressed sequence tag (EST) approach was
used to analyze changes in gene expression in roots of rye
(Secale cereale L. cv Blanco) under Al stress. Two cDNA libraries were constructed (Al stressed and unstressed), and a total of
1,194 and 774 ESTs were generated, respectively. The putative proteins
encoded by these cDNAs were uncovered by Basic Local Alignment Search
Tool searches, and those ESTs showing similarity to proteins of known
function were classified according to 13 different functional
categories. A total of 671 known function genes were used to analyze
the gene expression patterns in rye cv Blanco root tips under Al
stress. Many of the previously identified Al-responsive genes showed
expression differences between the libraries within 6 h of Al
stress. Certain genes were selected, and their expression profiles were
studied during a 48-h period using northern analysis. A total of 13 novel genes involved in cell elongation and division (tonoplast
aquaporin and ubiquitin-like protein SMT3), oxidative stress
(glutathione peroxidase, glucose-6-phosphate-dehydrogenase, and
ascorbate peroxidase), iron metabolism (iron deficiency-specific proteins IDS3a, IDS3b, and IDS1; S-adenosyl methionine
synthase; and methionine synthase), and other cellular mechanisms
(pathogenesis-related protein 1.2, heme oxygenase, and epoxide
hydrolase) were demonstrated to be regulated by Al stress. These genes
provide new insights about the response of Al-tolerant plants to toxic
levels of Al.
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INTRODUCTION |
Al is one of the most important
limiting factors for crop production on acid soils. The most important
effect of Al toxicity is a dramatic reduction in root growth, which
leads to poor productivity. Severe Al stress threatens the survival of
many sensitive crop genotypes. Al has been shown to affect a large
number of cellular processes, especially the uptake of
K+ (Liu and Luan, 2001 ),
Ca2+ (Huang et al., 1992 ), and
Mg2+ (Keltjens, 1995 ),
cytoskeletal dynamics (Sivaguru et al., 1999 ), -(1,3)-glucan (callose) synthesis (Zhang et al.,
1994 ), lipid peroxidation (Yamamoto et al.,
2001 ), and the inositol 1,4,5-triphosphate signal transduction
pathway (Jones and Kochian, 1995 ). Al also induces the
secretion of organic acids (e.g. citrate, malate, and oxalate) from
roots (Delhaize and Ryan, 1995 ). These organic acids
form a stable complex with Al, preventing the toxic effects of Al and
providing the most valuable source of tolerance in the majority of
plant species studied. Despite the considerable progress made over the
last decade, the rather modest progress in isolating Al-regulated genes
has limited our understanding of the molecular mechanisms underlying Al
toxicity and tolerance.
Changes in gene expression control normal physiological processes and
are also the main effectors of cellular responses to biotic or abiotic
stresses (Jiang et al., 2000 ). Since the cloning of the
Wali genes (Snowden and Gardner, 1993 ;
Richards et al., 1994 ), other genes have been shown to
respond to Al stress, such as those identified in rice (Oryza
sativa; Yu et al., 1998 ), tobacco (Nicotiana
tabacum; Ezaki et al., 1995 ; Ezaki et al.,
1996 ), wheat (Triticum aestivum; Richards and
Gardner, 1994 ; Cruz-Ortega et al., 1997 ;
Hamel et al., 1998 ; Delhaize et al.,
1999 ; Hamilton et al., 2001 ), Arabidopsis
(Richards et al., 1998 ), and pea (Pisum sativum; Brosché and Strid, 1999 ;
Sävenstrand et al., 2000 ). These studies provided
an initial description of potentially important genes involved in Al
stress. Most of them were identified by differential screening of cDNA
libraries or suppression-subtractive hybridization. Although these
approaches have been invaluable in providing the groundwork for
assessing changes in gene-expression profiles during Al stress, more
sensitive and efficient techniques are needed to reveal additional
genes regulated by Al stress.
An effective method to analyze changes in gene expression under Al
stress is to generate expressed sequence tags (ESTs) from normal and
stressed tissue. Comprehensively characterizing and contrasting gene
expression patterns should provide an alternative strategy to identify
candidate genes involved in the Al toxicity and tolerance processes.
The generation of high throughput EST sequences is rapid and economical
and can be used in identifying differentially regulated mRNAs
(Lee et al., 1995 ; Zhu et al., 2001 ).
However, there are at least two limitations to a comparative EST
approach. The first is the elevated number of anonymous ESTs detected
(transcripts corresponding to new or previously isolated ESTs of
unknown function). In other EST projects, the number of ESTs showing
significant similarity to known genes ranged from 25% (Yamamoto
and Sasaki, 1997 ) to 48.4% (Lim et al., 1996 ).
Second, the enormous differences in the number of copies per cell of
each mRNA species limit the study of changes in mRNA levels to
relatively moderate-to-abundant transcripts (Lee et al.,
1995 ).
In this study, we describe an EST project designed to detect changes in
gene expression under Al stress in rye (Secale cereale), one
of the most Al-tolerant plant species. Our goals were to identify novel
genes regulated by Al stress and to assess the application of a
comparative EST approach to the analysis of gene expression in plants.
In total, 1,968 sequences were obtained, and ESTs showing significant
homology to proteins of known function were functionally classified,
providing insights concerning the structure of the mRNA population
during the early stages of Al stress in rye. Comparison of two data
sets from non-stressed and stressed libraries revealed many previously
reported Al-responsive genes and potential genes differentially
expressed. Northern analyses of certain genes were performed to confirm
their differential expression patterns. Possible functions for these
genes during Al stress are discussed.
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RESULTS AND DISCUSSION |
Al Tolerance Screening
We tested the rye cv Blanco for Al tolerance using the root growth
method, because inhibition of root elongation is probably the most
reliable symptom of Al toxicity. Wheat cv BH 1146, one of the most
tolerant spring wheat cultivars, was included in the screening
to compare its level of tolerance against that of rye cv Blanco, and a
very sensitive wheat cultivar, Anahuac, was included as a control.
After 3 d of growth (Fig. 1), almost
complete root growth inhibition was observed for wheat cv Anahuac at
every Al concentration tested. Inhibition of root growth in wheat cv BH 1146 was lower from 5 to 20 mg L 1, but
then it reached the same level of inhibition as wheat cv Anahuac. Rye
cv Blanco showed a 36% reduction in root growth at 5 mg
L 1, whereas wheat cvs BH 1146 and Anahuac were
already below this level of inhibition (68% and 79%, respectively).
At 10 mg L 1, a 50% reduction in root growth
was observed in rye cv Blanco, reaching 68% at 15 mg
L 1, but increasing Al concentration to 30 mg
L 1 (1,110 mM Al) did not lead to
the same level of inhibition as observed in the wheat cultivars. Rye cv
Blanco was able to grow at Al concentrations up to 70 mg
L 1 (data not shown). We chose 5 mg
L 1 (185 µM Al) to compare changes
in gene expression in rye cv Blanco root apices, because of the
inhibitory effects observed at this Al concentration in this cultivar
as well as in wheat cvs Anahuac and BH 1146.

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Figure 1.
Al dose dependency of rye and wheat root growth at
different Al concentrations. The length of the primary root from 10 seedlings (root length approximately 10 mm) was measured after 3 d
of growth in control and different Al concentrations (5-30 mg
L 1). A "root tolerance index" (RTI) was
calculated for each cultivar at every Al concentration as the ratio of
the average root length in the presence of Al versus the control at 0 mg L 1 Al. Data represent the means ± SE from two independent experiments.
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EST Complexity. Functional Classification of Genes
To identify genes that are regulated by Al, we undertook an
analysis of Al-dependent changes in gene expression. We focused on
genes induced early in the defense response, because these are most
likely to reflect the effects of Al on the plant. Richards et
al. (1998) similarly identified several Al-regulated genes in a
cDNA library from Arabidopsis seedlings treated with 50 µM Al for 2 h. We used an EST-based approach to
detect early changes in gene expression (within 6 h) induced by Al
stress in root apices of rye cv Blanco. Two cDNA libraries were
constructed, from root tips treated under control and Al-stressed
conditions, and a total of 774 and 1,194 ESTs were obtained,
respectively. The EST length (after vector and "phred 20" quality
screening) ranged from 100 to 703 bp, with an average of 424 and 438 bp
for the control and Al-stressed libraries, respectively. To identify
the potential biological functions of the 1,968 ESTs, they were
translated into all possible open-reading frames and compared with the
nonredundant protein database using
BLASTX3
(Altschul et al., 1990 ). A probability cutoff value of
10 3 was used to consider sequence similarities
statistically significant. From the two libraries, 1,042 ESTs (53%)
showed similarity to proteins of known function, 295 ESTs (15%) showed
similarity to proteins of unknown function or predicted from genomic
sequences, and 631 ESTs (32%) showed no similarity (Table
I).
Because the main goal of this research was to study the function of
Al-responsive genes, we initially focused on the 1,042 known-function
ESTs. Cluster analysis identified 91 redundant genes and 580 "single
hits" (522 singletons) yielding 671 unique known genes whose
expression patterns were examined in rye cv Blanco root tips under Al
stress. Therefore, the transcript profile in rye cv Blanco root apices
appeared to be highly heterogeneous, which is consistent with the
expected complex gene-expression patterns in root apices. Overall, we
found that 78% of the known function genes were singletons, 19% were
present in two to three copies, and only 3% were present in more than
three copies. The maximum EST frequency was 4.5% for the
Wali5 gene (a proteinase inhibitor with five and 25 hits in
the control and Al-stressed libraries, respectively). The 671 distinct
genes showing similarity to proteins of known function were categorized
according to 13 major functional categories (Table I). The complete
list of genes is available in Table II,
which can be accessed through the on-line version of the manuscript
(http://www.plantphysiol.org). Genes representing a wide mix of
cellular functions (with the obvious exception of photosynthesis) were
present, indicating that our EST database, although certainly not a
full representation of root apex transcription, contains tags derived
from genes encoding most major cellular functions and should be useful
for the discovery of Al-regulated genes involved in several biological processes.
Identification of Previously Reported Al-Responsive
Genes
A literature review identified 45 genes previously reported to be
regulated by Al, of these 19 showed high identity to genes in our EST
database (Table III). One of these
genes (encoding a heat shock protein) seemed also to be down-regulated
in rye cv Blanco roots, as reported by Richards et al.
(1998) . Several other genes appeared to be up-regulated in rye
cv Blanco root tips within the first 6 h of Al treatment. It is
worth mentioning the prevalence of the Wali1,
Wali5, and oxalate oxidase genes. Together, these three
genes accounted for 7.5% of the ESTs that hit known function genes in
the Al-stressed library. One copy of the PEARLI1 and PEARLI4 genes, detected in Arabidopsis during the first
hours of exposure to Al (Richards et al., 1998 ), was
also present in the Al-stressed library. In addition to these genes
showing high similarity to rye cv Blanco ESTs, other ESTs identified
genes that are known to be Al-regulated (e.g. -1,3-glucanase, Ala
aminotransferase, blue copper binding protein, and several glutathione
S-transferases and peroxidases), but their similarity
with the reported genes was low and probably corresponds to different
isoforms. These results indicated that our EST approach was very
effective to detect Al-regulated genes in the early stages of Al
stress. A further comparison of transcripts in rye cv Blanco roots
under control versus stressed conditions should identify more
Al-responsive genes.
Generation of Abundance Profiles and Northern-Blot
Analysis
Abundance profiles were obtained for the 91 redundant genes
(corresponding to 427 ESTs). Because of the relatively modest sampling
size of our EST database, the verification of gene expression profiles
using northern analysis was critical to ascertain true differential
expression. To confirm and extend the results from EST comparative
analysis, we monitored changes in transcript abundance over short- and
long-term exposure to Al. A higher Al concentration (30 mg
L 1) was used to obtain high levels of stress
within a 48-h period. A similar Al concentration (1 mM) was
used by Slaski (1994) for a time-course study (up to
24 h) of the effect of Al on the activity of Glc-6-phosphate
dehydrogenase (G6PDH) and 6-phosphagluconate dehydrogenase enzymes in
an Al-tolerant rye. In the same work, an Al-sensitive wheat was also
studied using 0.15 mM Al, with similar results. Because rye
cv Blanco survives up to 70 mg L 1 Al, we
decided to use 30 mg L 1 (1.11 mM)
Al. Figure 2 shows the root growth of
wheat cvs Anahuac and BH 1146 and rye cv Blanco in response to Al.
Wheat cv Anahuac and BH 1146 showed complete root growth inhibition
after 18 h. However, at 18 h, rye cv Blanco roots showed a
growth rate that was approximately 40% of control roots, and they
continued to grow over the 48-h testing period. We continued to measure
rye cv Blanco root growth for 2 more d every 24 h, and it showed a similar rate than that at 48 h (data not shown). The temporal expression of certain genes was monitored using northern analysis at
eight time points up to 48 h after the exposure of the roots to
Al. Total RNA was isolated at frequent intervals within the first 12-h
period to assess early changes in gene expression, and then samples
were collected every 12 h to study late response of genes to Al
stress. As the first step in the analysis of these libraries, 30 genes
(including nine singletons) were selected on the basis of (a) clear
differences in copy number between both libraries, and/or (b) potential
roles in biological responses to Al stress. Northern-blot analyses
revealed 13 genes that clearly responded to Al stress and are described
below. Three additional genes (encoding a thioredoxin H, Cys synthase,
and kinetochore protein) did not show any change, whereas our analysis
was inconclusive for the rest.

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Figure 2.
Time course showing rye and wheat root elongation
inhibition after exposure to 30 mg L 1 Al. Ten
2-d-old seedlings were treated with or without Al, and the length of
the primary root was measured every 6 h over a 48-h period.
Relative root growth values were obtained for every interval as the
ratio between the root growth at 30 and 0 mg
L 1.
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Al Effect on Cell Division and Elongation Genes
Two different genes coding for tonoplast intrinsic proteins (TIP)
were detected in rye cv Blanco libraries, -Tip and
-Tip, both exhibiting the same hybridization profile.
That obtained with -Tip as a probe is shown in Figure
3. After 6 h of Al stress, the
expression of -Tip was only 43% of the control,
decreasing to 35% at 8 h. Because the -Tip and
-Tip ESTs (GenBank accession nos. BE587109 and BE587310,
respectively) show a 73% identity over 409 nt, the use of
gene-specific probes (5'- or 3'-untranslated regions) would be
necessary to confirm the expression pattern of each gene. Nevertheless,
we can conclude that transcripts coding for tonoplast aquaporins
decreased in response to Al.

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Figure 3.
Effect of Al stress on cell elongation and
division-related genes. A, RNA-blot hybridization showing
different expression profiles during Al treatment of rye cv Blanco
roots over a 48-h period. Total RNA was isolated from the same Al
stress experiment. The first (0 h) and last (48 h) lanes correspond to
unstressed plants (0 mg L 1). The rRNAs of one
representative blot stained with methylene blue show RNA integrity and
uniform loading (Herrin and Schmidt, 1988 ). TIP,
aquaporin; SMT3, ubiquitin-like protein SMT3. B, Quantitation of mRNA
levels. The hybridization signals obtained from the genes were weighted
against those obtained from the scan image of the 25S rRNA stained with
methylene blue to correct for minor differences in RNA loading,
normalized to that at 0 h (which was set at 1 for each gene) and
plotted against time to compare changes in gene expression.
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Different studies have shown that these genes are highly expressed in
elongating cells (Chaumont et al., 1998 ; Ferguson
et al., 1997 ). The highest expression of maize (Zea
mays) -TIP was detected in the apical meristem and
the cell-elongation zone, consistent with -TIPs permitting the rapid
influx of water into the vacuole, generating the turgor pressure that
drives cell elongation (Chaumont et al., 1998 ).
Karlsson et al. (2000) suggested that the expression of
a -TIP gene in spinach (Spinacia oleracea) may
be induced during the formation of the large vacuole of elongating cells. Therefore, decreased levels of TIPs under Al stress would generate a lower turgor pressure in the cell elongation zone, resulting
in reduced root growth. The factors leading to reduced expression of
these genes are unknown, but Smart et al. (2001) reported that some genes homologous to TIPs are
down-regulated under drought stress in Nicotiana glauca, and
it is possible that Al-induced changes in the cell wall (e.g. binding
of Al, lignification, and callose accumulation) may lead to a reduced
permeability and, as a result, to water stress.
Al stress up-regulated Smt3 transcripts (accession no.
BE587402), which encode an ubiquitin-like protein (Fig. 3).
Smt3 showed increased expression after 12 h (3.6-fold),
which is when root growth was drastically slowed (Fig. 2). Maximal
Smt3 induction (7-fold) was observed after 48 h, when
rye cv Blanco root elongation was basal. Unlike ubiquitin, which is
also up-regulated by Al (Brosché and Strid, 1999 ),
SMT3-conjugation appears to include regulation of protein subcellular
localization and transcription factor activity. Yeast
temperature-sensitive SMT3 mutants are blocked at G2/M at the
nonpermissive temperature, consistent with a role for SMT3 in mitotic
progression (Meluh and Koshland, 1998 ). In addition, the
Saccharomyces pombe SMT3 homolog interacts with PCNA
(Tanaka et al., 1999 ), which is required for DNA
replication, DNA repair, and perhaps for the recovery pathway after DNA
replication arrest.
Genes Involved in Oxidative Stress
Transcripts encoding a glutathione peroxidase (GPX; accession no.
BE587404) were rapidly induced by Al (Fig.
4). The gene showed increased mRNA levels
after 4 h, peaking at 8 h (3.3-fold) before decreasing to
normal levels at 36 h. The specific substrate of the GPX induced
in rye cv Blanco root apices is unknown, but the absence of a predicted
transit peptide indicates that the Al-induced gene codes for a
cytosolic enzyme. In addition, our BLASTX search found significant
similarities with mammalian phospholipid hydroperoxide
GPXs. Lipid peroxidation is an early event triggered by Al, as
described by Yamamoto et al. (2001) in pea roots. The kinetic patterns of lipid peroxidation in pea roots (reaching a maximum
level at 12 h) and the induction of the Gpx gene in rye
cv Blanco root apices were similar to each other. Taking into account
that pea (a dicot) and rye are distinct plants, it is tempting to
speculate that GPX in rye cv Blanco is also involved in the protection
of membrane phospholipids, although biochemical characterization of the
induced GPX is warranted.

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Figure 4.
Time course showing the effect of Al stress on the
expression profile of oxidative stress-related genes. Experimental
conditions and indications are as in Figure 3.
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The expression pattern of the Gpx gene suggested regulation
at two different levels. First, it could be argued that the expression of the gene might be related to diurnal and circadian mechanisms rather
than to Al stress. In the absence of Al, the expression of the gene did
not change significantly compared with expression under Al stress (Fig.
5). However, although this shows that the induction of the gene is attributable to Al stress, it does not preclude a diurnal response of the gene to Al. We then investigated the
hypothesis that failure to recycle glutathione could lead to the
failure to maintain high levels of Gpx transcripts. Oxidized glutathione is reduced by glutathione reductase by NADPH, and the
pentose phosphate pathway is especially important for providing NADPH.
The key enzyme controlling the flux of carbon through this pathway is
G6PDH. Interestingly, Slaski (1994) observed an increase in G6PDH activity in rye after Al treatment (1 mM, pH 4.5), very similar to the expression
pattern of the Gpx gene. The expression profile of a
G6pdh gene (accession no. BE587600) present in one copy in
the Al-stressed library (Fig. 4) matched almost exactly G6PDH activity
reported by Slaski (1994) and Gpx expression.
The induction of G6pdh was also Al dependent (data not
shown), like Gpx. It is possible that depletion of reduced
glutathione might lead to decreased expression of the Gpx
gene, although further work is necessary to confirm this
hypothesis.

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Figure 5.
Time course showing the Al stress-dependent
response of the glutathione peroxidase gene. Experimental conditions
and indications are as in Figure 3, with the exception that the first
six samples (non-stressed) were isolated in a different
experiment.
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Another gene coding for an enzyme involved in the scavenging of
cytosolic hydrogen peroxide, ascorbate peroxidase (APX; accession no.
BE587068), was down-regulated by Al stress (Fig. 4). Steady-state Apx transcript levels were found to be only 46% of the
control after 6 h. Richards et al. (1998) suggested
that both GPX and APX would be induced by Al stress. However, our
results indicate that only glutathione-dependent systems (e.g. GPX and
glutathione S-transferase) are activated by Al stress.
Moreover, Lukaszewski and Blevins (1996) reported that
Al stress resulted in a reduction of ascorbate concentration of root
apices in squash (Cucurbita pepo).
The role of oxidative stress in Al toxicity is not clear.
Richards et al. (1998) showed that Al enhances oxidative
stress because Al induces the expression of several genes encoding
antioxidant enzymes, although Yamamoto et al. (2001)
suggested that lipid peroxidation was not the cause of root elongation
inhibition. However, Yamamoto et al. (2002) concluded
that Al affects mitochondrial functions, leading to reactive oxygen
species (ROS) production, which correlated with inhibition of root
elongation. The up-regulation of the Gpx gene supports the
hypothesis that Al enhances oxidative stress, but the possible role of
ROS production in Al toxicity needs to be clarified.
Genes Involved in the Synthesis of Phytosiderophores and Iron
Homeostasis
The barley (Hordeum vulgare) Ids3 gene codes
for a dioxygenase involved in the synthesis of phytosiderophores, which
bind and carry Fe3+ across the plasma membrane in
most monocotyledonous (strategy II). Although the barley
Ids3 gene is single copy (mapping to the chromosome arm
4HL), several nonallelic isozymes are present in rye (Nakanishi
et al., 2000 ). Our EST comparative analysis detected four
different Ids3 homologs in rye cv Blanco roots that seemed
to be down-regulated within the first 6 h of Al stress (Table II,
secondary metabolism). Rye cv Blanco Ids3a and
Ids3b genes transcripts (accession nos. BE587731 and
BE587474, respectively) were down-regulated from a low level even
further upon Al (Fig. 6). However, longer
exposures to Al (24 h for Ids3b and 36 h for
Ids3a) led to the up-regulation of the genes, although by
48 h their transcripts were almost undetectable (Fig. 6).

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Figure 6.
Time course showing the expression profile
of genes involved in the synthesis of phytosiderophores and iron
metabolism. IDS3a, Iron deficiency-specific 3a dioxygenase;
IDS3b, iron deficiencyspecific 3b dioxygenase; IDS1, iron
deficiency-specific 1 MT. Experimental conditions and indications are
as in Figure 3.
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Minocha et al. (1992) showed that Al treatment for
4 h induced a decrease in cellular levels of Fe in vinca
(Catharanthus roseus) a dicot with a completely different
Fe-uptake system (strategy I). Chang et al. (1998) more
recently demonstrated the early inhibition by Al (within 3 h) of
both biosynthesis and secretion of phytosiderophores in wheat. Taken
together, these results suggested that both in monocots and dicots, Al
induces a very rapid inhibition of Fe uptake. Because Al may directly
affect Ids3 transcript levels, it is tempting to speculate
that Al-induced oxidative stress is countered by a reduction in Fe
uptake. Although it is well known that Al induces oxidative stress,
biochemical and physiological studies related to the possible role of
the Al ion in this response have not been investigated. Because Al is
not a transition metal, it cannot catalyze redox reactions
(Yamamoto el al., 2001 ). Instead, this function is
mainly attributed to iron and other metals such as copper. Therefore,
as Ranieri et al. (2001) suggested, iron-deficient plants may be protected in some degree against oxidative stress because
of a reduction of catalytic iron capable of triggering the Fenton
reaction. In other words, a simple idea to reduce radical formation by
iron may be the limitation of the iron atom availability. The late
response of Ids3a and Ids3b (Fig. 6) agrees with
the Fe-uptake pattern in vinca and with Fe-deficiency symptoms observed in several studies after long exposures to Al.
A rye cv Blanco homolog (accession no. BE586403) to barley
Ids1, a metallothionein (MT) induced by Fe-deficiency, was
strongly activated after 12 h of exposure to Al, peaking at
36 h (Fig. 6), when the Ids3 transcripts were maximally
induced. The function of this gene is not clear, but it could be
related to the release of phytosiderophores (Okumura et al.,
1991 ). Snowden and Gardner (1993) showed that
the wheat Wali1 gene (homologous to MTs) was similar to
barley Ids1. However, we detected two similar but clearly different transcripts in rye cv Blanco roots corresponding to the
barley Ids1 and wheat Wali1 genes.
Met synthase (MS; accession no. BE587633) transcripts showed no
correlation with those of Ids3, as transcripts slowly
decreased during the first 12 h, being further reduced after
24 h (Fig. 6). This pattern is consistent with the hypothesis of
Yamaguchi et al. (2000) that the Met precursor of
phytosiderophores is provided by the Met salvage pathway, in which MS
is not involved. In addition, the expression pattern of
S-adenosyl-MS (SAM; accession no. BE586457) did not respond
to Al stress in the same way as the Ids3 genes (Fig. 6),
because its transcripts showed an initial 2-fold induction after
12 h, but decreasing after 24 h. Nevertheless, other members of the Sam gene family may be involved in the pathway. SAM
is involved in more than one biosynthesis pathway, and its
up-regulation during the first 12 h may be related to an increased
demand for adenosyl-Met in lignin biosynthesis. This is in agreement
with the activation of Phe-ammonia lyase (Snowden and Gardner,
1993 ) and
S-adenosyl-L-homo-Cys hydrolase
(Richards and Gardner, 1994 ) in response to Al stress in
wheat. Finally, other genes related to the synthesis of
phytosiderophores (nicotianamine synthase and nicotianamine
aminotransferase) were included in the screening, but no hybridization
signals were obtained with their EST probes.
Other Genes Regulated by Al Stress
Many plant defense mechanisms that have been associated with the
response to pathogens are also associated with symptoms of Al toxicity,
which suggests that Al may act as an elicitor of a pathogenesis-related
transduction pathway (Hamel et al., 1998 ). Although
induction of a pathogenesis-related protein 1.2 (PR-1.2) started only
after 12 h (Fig. 7), it showed the
highest up-regulation in our EST comparative analysis (10-fold). The
reason for such a difference is unknown, but this pattern was observed
using two different ESTs as probes (accession nos. BE586275 and
BE587392). The Pr-1.2 gene induced by Al in rye cv Blanco
roots belongs to a group that includes mammals, insects, fungi, and
plants, although the function of this family of proteins is
unclear.

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Figure 7.
Time course showing the expression profile of
other genes regulated by Al stress. PR-1.2, Pathogenesis-related 1.2;
Experimental conditions and indications are as in Figure 3.
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A transcript encoding heme oxygenase (HOX; accession no. BE586278)
showed a biphasic regulation, transiently decreasing within 4 h of
exposure to start a progressive increase after 12 h, returning to
unstressed levels at 36 h (Fig. 7). Similar to Gpx, the
expression of Hox did not change in the absence of Al (data
not shown). Ossola et al. (2000) suggested that human
hox-I induction takes place when steady-state levels of the
ROS increase and defenses (e.g. GPX) are decreased. If we compare the
expression profile of Gpx and Hox, it is clear
that Hox and Gpx respond inversely. This is
consistent with Gpx and Hox responding to the
same signal in different directions. HOX is the rate-limiting enzyme in
the degradation of the prosthetic group heme (Platt and Nath,
1998 ). Among the consequences of heme degradation is the
liberation of Fe, a potent oxidant that may exacerbate oxidative stress
(Berg et al., 2001 ). This may explain why the gene is
down-regulated in rye cv Blanco Al-stressed roots at the same time that
Fe uptake is inhibited and the antioxidant defense (e.g. GPX) is activated.
Finally, transcripts of a gene encoding epoxide hydrolase (EPX;
accession no. BE587663) decreased slowly after the Al treatment (59%
of the control level at 8 h; Fig. 7), confirming the predictions from the EST comparative analysis. In comparison with animals, characterization of plant EPXs is very limited, although they are
involved in the metabolism of epoxy fatty acids and show a higher
expression in meristematic tissue than in mature leaves (Stapleton et al., 1994 ). Further research is necessary
to understand the effects of Al on Epx expression.
 |
CONCLUDING REMARKS |
The EST comparative analysis described here was successful in the
identification of Al-regulated genes. In general, various patterns of
gene expression were observed, and for most genes, we could see a
gradual change over time. However, the magnitude of change in mRNA
levels predicted by EST analysis did not correlate as well as the
direction of change. Lee et al. (1995) reported similar
results, suggesting that at these sampling depths, EST approaches are
suitable for qualitative rather than quantitative comparisons. For
instance, induction of the Wali5 gene started after 8 h
of Al stress (data not shown), which is consistent with the results
obtained by Richards et al. (1998) in Arabidopsis. Overall, the correlation between the EST copy number and northern analysis can be considered as acceptable at the sampling depths of the
project. Increasing the number of ESTs will undoubtedly lead to a
better estimation of the real transcript profiles, although additional
verification will always be necessary. To date, our biochemical
understanding of the molecular basis of Al toxicity and tolerance is
still in its infancy, and the expression profiles obtained in rye cv
Blanco root apices can provide new insights into the molecular
mechanisms underlying the root response of an Al-tolerant plant (rye cv
Blanco) to toxic levels of Al. The 1,194 ESTs from the Al-stressed
library provide an overall picture about the structure of the mRNA
population of root cells during the early stages of Al stress.
Significant findings from this study were the rapid down-regulation by
Al stress of tonoplast aquaporins possibly affecting cell elongation,
and the late induction of the ubiquitin-like protein SMT3 gene,
involved in the control and recovery of the cell cycle. In addition,
our results suggest that glutathione-dependent systems (e.g. GPX and
glutathione S-transferase) provide the most important
antioxidant defense in root apices under Al stress, whereas
ascorbate-related systems seem to be negatively affected. The strong
and complex effects of Al stress on several genes involved in the
control of Fe uptake and homeostasis suggest an important role of this
mechanism during the response of plants to Al, probably connected to
oxidative stress. Finally, our results support the further use of rye
(the most Al-tolerant cereal) for the discovery of Al-responsive genes
that might be related to Al tolerance or used to obtain some degree of
tolerance (e.g. overexpressing oxidative stress-related genes). It is
very likely that other genome-scale gene expression approaches (e.g. microarrays, SAGE) will provide additional information about changes in
mRNA levels during Al stress, especially if future studies focus on the
comparison of expression profiles between Al-tolerant and -sensitive genotypes.
 |
MATERIALS AND METHODS |
Plant Material and Growth Conditions
Seeds of uniform size of rye (Secale cereale L. cv Blanco) and wheat (Triticum aestivum L. cvs BH 1146 and Anahuac) were sterilized with 25% (v/v) sodium hypochlorite for 5 min, rinsed with deionized water, and incubated on filter paper in the
dark. Rye seeds were incubated first at 10°C for 24 h and then
at 25°C, whereas wheat seeds were germinated directly at 25°C.
Seedlings with a primary root of about 10 mm were placed on a styrofoam
sheet with a nylon net bottom. The styrofoam sheets were floated on a
nutrient solution (2 L) in a plastic tray. For treatments longer than
3 d, the sheets were transferred to 4-L plastic trays. The
nutrient solution was prepared with ultra pure water and contained all
macronutrients except Pi, to prevent Al precipitation: 0.4 mM CaCl2, 0.01 mM (NH4)2 SO4, 0.65 mM
KNO3, 0.25 mM MgCl2, and 0.04 mM NH4NO3. For Al treatments,
AlCl3 was added to final concentrations from 0 to 30 mg
L 1 (1 mg L 1 = 37 µM).
The pH of the solution was adjusted to 4.0 with 0.1 N HCl
or 1 N NaOH after the addition of Al. Nutrient solutions were changed every 24 h. Seedlings were grown in aerated medium under controlled environmental conditions (26 ± 1°C and a 16-h photoperiod).
Root Growth Measurements
Germplasm was screened for Al tolerance by using the root growth
method. The length of the primary root from 10 seedlings was measured
after 3 d of growth in control or different Al concentrations (5-30 mg L 1 Al). A root tolerance index was calculated
for each cultivar at every Al concentration as the ratio of the average
root length in the presence of Al versus the control at 0 mg
L 1 Al. Time course root elongation inhibition during a
48-h period of Al treatment was also determined. For each cultivar, two
sets of 10 seedlings each were grown in nutrient solutions without Al
for 2 d, and then one set received 30 mg L 1 Al. The
control set was simultaneously moved to fresh medium. The length of the
primary root (from control and Al-stressed seedlings) was measured
every 6 h to examine the temporal response of the cultivars to
toxic Al levels. Relative root growth values were obtained for every
6-h interval as the ratio between the root growth at 30 and 0 mg
L 1.
cDNA Libraries Construction
The ESTs used in this study were obtained from two different
libraries (control and Al-stressed). Rye cv Blanco seedlings were grown
in an Al-free solution, at pH 4.0 for 2 d. After this period,
seedlings for the Al-stressed library were transferred to a solution
containing 5 mg L 1 Al (185 µM Al).
Plant-to-plant variation of gene expression was reduced by bulk
harvesting of a total of approximately 600 plants. Root tips were
harvested from seedlings from both treatments at 2, 4, and 6 h
after the addition of Al to the treated set. Time points were used to
detect genes whose expression in response to Al is transient. The
seedlings were removed from the medium, root tips were cut off, and
tissue was frozen and ground in liquid nitrogen before extraction of
RNA. Total RNA was isolated from pooled samples (2, 4, and 6 h) by
an adaptation of the guanidine isothiocyanate/CsCl method
(Chirgwin et al., 1979 ). Poly(A+) RNA was
isolated using the PolyATtract system (Promega, Madison, WI) and cDNA
synthesized. Double-stranded cDNA was ligated with SalI-NotI oligonucleotide adapters and
cloned in the pSPORT vector (Invitrogen, Carlsbad, CA) following
manufacturer's instructions, and recombinants were propagated in
Escherichia coli strain DH12S.
EST Generation and Data Analysis
Plasmid DNA from randomly selected clones was extracted and
sequenced from the 5' end. Single-pass partial sequences were determined with an automated DNA sequencer (model ABI Prism 3700, Applied Biosystems, Foster City, CA, or CEQ2000, Beckman Coulter, Fullerton, CA) as part of the National Science Foundation Wheat Genome
Project. Chromatogram traces were evaluated using PHRED (Ewing
and Green, 1998 ). Vector sequences were removed and bases having "phred" scores lower than 20 were trimmed off. Sequences of
less than 100 bases were removed from the analysis. A total of 1,968 high-quality ESTs were obtained from the two libraries. A list of the
nucleotide sequences is available at
http://wheat.pw.usda.gov/NSF/data.html.
The ESTs generated were compared with the nonredundant protein
databases using the BLASTX program provided by the National Center for
Biotechnology Information. A minimum P value cutoff of
10 3 (the probability that alignment would be generated
randomly is <1 in 1,000) was used to determine homology of ESTs to
known proteins. The 10 3 cutoff was chosen for empirical
reasons. For example, some ESTs with long 5' or 3' non-coding regions
generated perfect matches of only a few amino acids and, as a result,
had low BLASTX P values. Therefore, a few
false-positives were likely attributable to gene family members. Each
sequence in the EST database was classified as single hit (represented
by a single EST in either library [i.e. singletons] or in both) or
redundant (two or more copies in one or both libraries). Redundant ESTs
were assembled in overlapping contigs and nonoverlapping sequences that
corresponded to different parts of the same gene. ESTs were identified
as the protein showing the highest score among the candidate proteins
and classified according to 13 functional categories. For each gene,
abundance profiles (relative levels of gene expression) were inferred
from the common gene transcript frequency, computed by summing the number of ESTs matching that particular gene and dividing the sum by
the total of ESTs for each library.
Northern Hybridization and Densitometry
For time-course experiments of gene expression, approximately 60 seedlings were used for RNA isolation from each sample. To minimize
plant-to-plant variation, seedlings were grown for 5 d in nutrient
solutions with no Al, and only roots of similar length were selected.
Total RNA from rye cv Blanco root tips non-stressed (0 mg
L 1, 0 and 48 h) or treated with Al (30 mg
L 1) for 2, 4, 6, 8, 12, 24, 36, and 48 h was
isolated using TRIZOL reagent (Invitrogen), following manufacturer's
protocol. Equal amounts of total RNA (10 µg) were electrophoresed in
a 1.5% (w/v) agarose-formaldehyde gel, transferred to nylon
membranes (Hybond-N, Amersham Biosciences, Piscataway, NJ), and then
fixed by UV cross-linking (Fisher Scientific, Pittsburgh). Blots were
stained with methylene blue (Herrin and Schmidt, 1988 ).
They were immersed briefly in a methylene blue staining solution (0.3 M sodium acetate, pH 5.2, and 0.06% [w/v] methylene
blue) and rinsed in deionized distilled water. The moist blots
were wrapped in clear plastic and scanned. Probes were obtained by PCR
amplification or restriction digestion with appropriate enzymes of
plasmid inserts. The DNA was purified using the Geneclean kit (Bio-101,
Carlsbad, CA), and 50 to 100 ng was labeled with
[ -32P]dCTP using DNA Polymerase I Klenow (Promega).
Probes were denatured at 95°C before adding to the hybridization
solution. Prehybridization (8 h) and hybridization (36 h) were carried
out at 65°C in 7% (w/v) SDS, 0.191 M
Na2HPO4, 0.058 M NaH2PO4, 1%
(w/v) bovine serum albumin, and 100 µg
mL 1 denatured salmon sperm DNA. Washes were
done at room temperature with 2× SSC, 0.5% (w/v) SDS (probes
with accession nos. BE587600, BE587633, BE586275, BE587392, and
BE586278) and with 0.1× SSC and 0.1% (w/v) SDS at 65°C for
the rest of the probes. Membranes were wrapped in plastic sheets and
exposed to x-ray films at 80°C. Autoradiographs were scanned, and
the hybridization signals were quantitated using the Molecular Analyst
software (Macintosh v2.1, Apple Computer, Cupertino, CA). The methylene blue images were quantitated using the same software. The signals obtained from the genes were weighted against those obtained from the
25S rRNA methylene blue scan images (Auger et al., 2001 )
to correct for minor differences in RNA loading and normalized to that
at 0 h, which was set at 1 for each gene.
 |
ACKNOWLEDGMENTS |
We thank Dr. R.C. Gardner (University of Auckland)
for providing the wali1, wali3, and wali5 wheat clones used as a
control in the early stages of this study. We thank Dr. D. Blevins, Dr. L. Darrah, Dr. H. Krishnan, Dr. M. McMullen, Dr. J. Polacco, and Miftahudin (University of Missouri-Columbia) for critical
reading of the manuscript.
 |
FOOTNOTES |
Received June 12, 2002; returned for revision July 13, 2002; accepted August 5, 2002.
1
This work was supported in part by the National
Science Foundation (grant no. 9975989) and by the Instituto Nacional de
Investigacion y Tecnologia Agraria y Alimentaria, Spain (scholarship to
M.A.R.M.). This is a contribution from the U.S. Department of
Agriculture, Agricultural Research Service, Plant Genetics Research
Unit, and the University of Missouri Agricultural Experiment Station.
Mention of a proprietary product does not constitute an endorsement or a recommendation for its use by the U.S. Department of
Agriculture-Agricultural Research Service or the University of Missouri.
2
Present address: Department of Plant Sciences,
University of Arizona, Tucson, AZ 85721.
[w]
The online version of this article contains Web-only
data. The supplemental material is available at www.plantphysiol.org.
*
Corresponding author; e-mail pgus{at}missouri.edu; fax 573-875-5359.
Article, publication date, and citation information can be found at
www.plantphysiol.org/cgi/doi/10.1104/pp.009969.
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