First published online June 20, 2002; 10.1104/pp.000729
Plant Physiol, July 2002, Vol. 129, pp. 974-992
Expression Profiling of Reciprocal Maize Hybrids Divergent for
Cold Germination and Desiccation Tolerance
Krishna P.
Kollipara,*
Imad N.
Saab,
Robert D.
Wych,
Michael J.
Lauer, and
George W.
Singletary
Pioneer Hi-Bred International, Johnston, Iowa 50131-1004
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ABSTRACT |
Recombinant inbred lines (RILs) derived from B73 × M017 were
screened for cold germination (CG) and desiccation tolerance (DT)
phenotypes. Reciprocal F1 hybrids were made between
divergent RILs, and hybrids that showed differential phenotypes
(parent-of-origin effect) for CG or DT were selected for profiling mRNA
and protein expression. mRNA and proteins were extracted from embryo
axes of seed germinated for 11 d at 12.5°C in the dark and
developing embryos at 40% seed moisture (R5 stage) for CG and DT,
respectively. GeneCalling analysis, an open-ended mRNA profiling
method, identified 336 of 32,496 and 656 of 32,940 cDNA fragments that
showed 1.5-fold change in expression between the reciprocal
F1 hybrids for CG and DT, respectively. Protein expression
map (PEM) analysis, an open-ended two-dimensional polyacrylamide gel
electrophoresis, identified 117 of 2,641 and 205 of 1,876 detected
proteins to be differentially expressed with 1.5-fold change between
the reciprocal F1 hybrids in CG and DT samples,
respectively. A subset of these proteins was identified by tandem mass
spectrometry followed by database query of the spectra. The
differentially expressed genes/proteins were classified into various
functional groups including carbohydrate and amino acid metabolism, ion
transporters, stress and defense response, polyamine metabolism,
chaperonins, cytoskeleton associated, etc. Phenotypic analysis of seed
from self-pollinated ears of the reciprocal F1 hybrids
displayed small differences compared with the reciprocal hybrids
themselves, suggesting a negligible effect of cytoplasmic factors on CG
and DT traits. The results provide leads to improving our understanding
of the genes involved in stress response during seed maturation and germination.
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INTRODUCTION |
There have been several reports
where differential phenotypic expression was observed between
reciprocal F1 hybrids in maize (Zea
mays) for various kernel and germination traits such as
whole-kernel growth rate (Groszmann and Sprague, 1948 ), embryo and
endosperm dry weight (Bagnara and Daynard, 1983 ), embryo oil and
protein (Miller and Brimhall, 1951 ), zein synthesis (Chaudhuri and
Messing, 1994 ), seed germination at low temperatures (Pinnell, 1949 ),
and tolerance to drying injury (Bdliya and Burris, 1988 ). These
differential expressions can be attributed to epigenetic phenomena such
as genomic imprinting (described below) and xenia (refers to the effect
of pollen on the endosperm phenotype in the same generation), dosage
effects (in case of triploid tissue such as endosperm), and cytoplasmic
effects (so-called maternal effects from mitochondrial and chloroplast
genomes or nuclear-encoded cytoplasmically stored gene products).
Genomic imprinting, also referred to as uniparental dominance or
parent-of-origin effect, is a well-studied phenomenon in both mammals
and plants (for reviews, see Alleman and Doctor, 2000 ; Reik and Walter,
2001 ). Imprinting refers to a reversible epigenetic modification of
loci resulting in differential expression of genes depending on the
parent of origin. Unlike Mendelian inheritance, a given allele of an
imprinted gene is phenotypically expressed in the
F1 depending on whether it is transmitted through
the male or female parent. Imprinting in mammals occurs primarily via
differential DNA methylation and alteration in chromatin structure
resulting in silencing of specific allele (see Feil and Khosla, 1999 ;
Tilghman, 1999 ). Possible roles of differential methylation in
imprinting of zein and -tubulin genes in maize (Lund et al., 1995a ,
1995b ) and chromatin remodeling (structural alteration in chromatin) in
regulating imprinting of MEDEA (MEA) locus in Arabidopsis
(Jeddeloh et al., 1999 ; Vielle-Calzada et al., 1999 ) have been
reported. However, the specific role of DNA methylation-mediated gene
silencing in imprinting of genes during embryo and endosperm
development in plants is not clear (Vielle-Calzada et al., 1999 ; Luo et
al., 2000 ; Russinova and de Vries, 2000 ).
Comparison of reciprocal F1 hybrids provides an
excellent system to study genes associated with parent-of-origin
effects (some of which may be due to genomic imprinting) in diploid
tissue that influences various traits of agronomic interest. In hybrid
seed production systems such as maize, sorghum, and millets,
identification of genes associated with imprinting provides an
opportunity to select parents (male or female) through which to
introduce the desired alleles.
Northern corn-growing regions have a short crop-growing season. This
often requires planting of seed early in the season, when soil
temperatures are low, followed by early season harvesting to avoid
frost injury. Therefore, it is important for grain to be used as seed
to tolerate artificial drying (desiccation) when harvested at high seed
moisture ( 40%) and to retain the ability to germinate under cold
conditions for better field stand establishment. Extensive efforts have
been devoted to understanding the genetics and physiology of the cold
germination (CG) and desiccation tolerance (DT) traits (Burris, 2000 ;
Hoegemeyer and Gutormsen, 2000 ). Changes in various compositional
(oligosaccharides, lipids, hormones, enzymes, free radicals, and
metabolic intermediates) and organellar/suborganellar properties
(mitochondria, oil and protein bodies, starch grains, membrane
integrity, and structure of chromatin and proteins) in the seed and
germinating seedlings of maize have been reported to be associated with
CG (Yacoob and Filion, 1986 ; Janowiak and Markowski, 1987 ; Stewart et
al., 1990a , 1990b ; Schell et al., 1991 ; Prasad, 1996 , 1997 ; Santis et
al., 1999 ) and DT (Leprince et al., 1993 , 1994 , 1995 ; Bochicchio et
al., 1994a , 1994b ; Oishi and Bewley, 1990 ; Chen and Burris, 1991 ;
Brenac et al., 1997 ; Obendorf, 1997 ; Perdomo and Burris, 1998 ; Wolkers
et al., 1998 ).
Much of the literature relevant to cold stress response at the
molecular level comes from Arabidopsis where several cold-regulated (COR) genes induced in response to abscisic acid (ABA) were
characterized (for review, see Thomashow, 1999 ). An ABA-independent
low-temperature responsive regulatory cascade involving a sequential
expression of C-repeat (CRT)/dehydration responsive element (DRE)
binding factors genes, followed by CRT/DRE-containing COR genes was
recently characterized in Arabidopsis (Stockinger et al., 1997 ; Gilmour et al., 1998 ; Liu et al., 1998 ; Shinozaki and Yamaguchi-Shinozaki, 2000 ). Overexpression of CRT/DRE binding factor-1 or DREB1A under the
control of cauliflower mosaic virus 35S or stress inducible rd29A
promoters was found to induce COR genes enhancing freezing tolerance in
Arabidopsis (Jaglo-Ottosen et al., 1998 ; Kasuga et al., 1999 ). Seki et
al. (2001) reported a genome-wide survey of mRNA expression pattern of
approximately 1,300 genes, using cDNA microarray, in Arabidopsis
subjected to drought and cold stress at various stages from germination
to maturity. They identified 44 and 19 cDNAs that were inducible by
drought and cold stress, respectively, of which 12 were DREB1A target
genes. Such detailed molecular studies of cold and desiccation stress
responses have not been reported in maize.
The objective of this study was to identify differentially expressed
genes related to CG and DT phenotypes. We have identified phenotypically divergent recombinant inbred lines (RILs) from the cross
B73 × M017 (SX-19) for CG and DT and produced reciprocal F1 hybrids. The reciprocal
F1 hybrids that showed differential phenotypes
for CG and DT, an indication of potential imprinting effects (or
nuclear cytoplasmic effects), were profiled for mRNA and protein
expression using open-ended platforms. This approach allowed the
profiling of genetically identical material thus enhancing the
effectiveness of expression profiling.
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RESULTS |
Screening, Crossing, and Phenotypic Analysis
Five RILs that showed high germination (>90%) and five RILs that
showed low germination ( 30%) under cold test conditions were
identified. Similarly, five each of tolerant and sensitive RILs to
high-temperature desiccation were identified. All genotypes germinated
normally at ambient temperatures (data not shown). Reciprocal
F1 hybrids produced in a five-by-five
diallel-crossing scheme, showed varying degrees of responses within
each trait (data not shown). The F1 hybrids
displayed transgressive (heterosis) and additive responses compared
with their self-pollinated parental phenotypes. In instances where the
reciprocal F1 hybrids showed differential
phenotypes, the phenotype of the F1s with the
high parent (i.e. parent with high germination score) as the maternal parent was typically higher in their germination scores compared with
those with low parents as the maternal parent. Maternal dominance was
clearly evident among some, but not all, RIL combinations for both
traits. Of all of the possible RIL combinations tested within each
trait, at least six and five showed parent-of-origin effect for CG and
GT, respectively (data not shown). Because of the complexity and
resource requirements of the profiling methods used, only one
representative RIL combination from each trait was selected for
expression profiling (Figs.
1-3).
We commonly observed among the data, as demonstrated for CG in Figure
1, that the phenotype of the F1 hybrid (i.e.
M0023-syn0 × M0081-syn0), which involved the low-phenotype parent
(i.e. M0023-syn0) as a female, was typically close to the mid-parent
value. This pattern of maternal influence attributable to
parent-of-origin effect was previously observed in other studies
involving maize kernel growth and its components (Groszmann and
Sprague, 1948 ; Bagnara and Daynard, 1983 ). Phenotypic differences
between the reciprocal F1 hybrids could also be
clearly seen when the seeds were germinated at 12.5°C for 11 d
in the dark (Fig. 2).

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Figure 1.
CG response of self-pollinated RILs and their
reciprocal F1 hybrids. The differential response
of the reciprocal F1 hybrids indicates maternal
dominance (parent-of-origin effect).
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Figure 2.
Seeds of reciprocal F1
hybrids germinated for 11 d at 12.5°C in the dark. Top panel,
F1 (M0081-syn0 × M0023-syn0); bottom panel,
F1 (M0023-syn0 × M0081-syn0). Parents,
M0081-syn0, and M0023-syn0 showed a similar response to that of
F1-M0081-syn0 × M0023-syn0 and the
F1-M0023-syn0 × M0081-syn0, respectively
(data not shown).
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When the seeds were harvested at high moisture (40%) and dried at high
temperature (43°C), the phenotypic differences between the reciprocal
F1s in the DT experiment was similar to those in the CG experiment, with one exception. The phenotype of the
F1 M0337-syn4 × M0021-syn4 having the
low-DT parent (M0337-syn4) as female did not approach the mid-parent
value (Fig. 3). Although the reciprocal F1
hybrids were significantly different in their phenotype after drying at
high (43°C) temperature, the phenotypic differences were not
significant after drying at the low (35°C) temperature (Fig. 3). When
the reciprocal F1 hybrids of CG and DT traits
were self-pollinated in the subsequent year, the magnitude of
phenotypic differences between them was noticeably reduced (Fig. 4). This suggests that the nuclear
genome played a major role in determining phenotypic differences
observed in the F1 generation, rather than
cytoplasmic (mitochondrial and chloroplast) genes.

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Figure 3.
CG response of self-pollinated RILs and their
reciprocal F1s after high-moisture harvest and
high- or low-temperature drying. The differential response of the
reciprocal F1 hybrids at high-temperature
(43°C) drying but not at low-temperature (35°C) drying indicates
maternal dominance (parent-of-origin effect).
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Figure 4.
CG response of self-pollinated reciprocal
F1 hybrids. The phenotypic differences between
the self-pollinated reciprocal F1 hybrids were
significantly reduced for both CG and DT traits. This suggests that the
phenotypic differences between the reciprocal F1
hybrids were mainly due to nuclear genes rather than cytoplasmic
(mitochondrial or chloroplast genomes) factors.
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Transcript Profiling
cDNAs synthesized from poly(A+) RNA of
germinating embryo axes (CG) and embryos at 40% moisture content (DT)
were digested with unique pairs of restriction enzymes in separate
reactions. cDNA restriction fragments resolved by capillary gel
electrophoresis varied in length from 40 to 450 nt. Use of 89 and 88 restriction enzyme pairs yielded a total of 32,496 and 32,940 detectable cDNA fragments in CG and DT samples, respectively.
Quantitative expression analysis of the individual fragments, as shown
by the peak heights in the electrophoretic scans, revealed that only
336 (1%) and 656 (2%) of the cDNA fragments were differentially
expressed with 1.5-fold change between the reciprocal
F1 hybrids in CG and DT traits, respectively.
GeneCalling analysis identified the genes that matched the cDNA
restriction fragments against the predicted fragments in the public and
proprietary databases. Most of the fragments matched more than one gene
in the databases. Also, many genes were "called" by more than one
cDNA restriction fragment. A subset of the cDNA fragments and their
corresponding gene matches were selected for confirmation through
cloning, sequencing, and competitive PCR analyses. The selection was
based on whether the fragment showed a high degree of fold change
between the reciprocal F1 hybrids and/or whether
multiple cDNA fragments, with a consistent pattern of differential
expression (measured by t test), were indicated for a given
gene. In cases where the same gene matched multiple cDNA fragments with
similar levels of expression, only one of the fragments was included
for analysis. The confirmed genes with their function, fold change in
expression, and cDNA restriction fragment size are listed in Table
I for CG and in Table
II for DT. The gene
names and accession numbers were obtained using BLAST search of the public databases (GenBank and SwissProt/TrEMBL) with
probability value of 1 × 10 07.
Competitive PCR analysis using sequence-specific primers was used for
sequence confirmation (by GeneCalling) or cloned sequence identification. Confirmation was revealed by the selective
disappearance of the corresponding peak in the electrophoretic scans
(Fig. 5).
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Table I.
Differentially expressed genes for the CG trait
revealed by mRNA profiling
The expression levels of mRNA extracted from embryo axes tissue of
seeds germinated for 11 d at 12.5°C in the dark were compared
between the reciprocal F1 hybrids that were high
(M0081-syn0 × M0023-syn0) and low (M0023-syn0 × M0081-syn0)
for CG phenotype. The gene/maize EST identities of the cDNA fragments
were obtained by BLAST search of the GenBank and SwisProt/TrEMBL
databases with a probability value of 1.0 × 10 7.
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Table II.
Differentially expressed genes for the DT trait
revealed by mRNA profiling
The expression levels of mRNA extracted from R5 stage embryos at 40%
kernel moisture content were compared between the F1
hybrids that were desiccation tolerant (M0021-syn4 × M0337-syn4)
and desiccation sensitive (M0337-syn4 × M0021-syn4). The
gene/maize EST identities of the cDNA fragments were obtained by BLAST
search of the GenBank and SwisProt/TrEMBL databases with probability
value of 1.0 × 10 7.
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Figure 5.
Competitive PCR confirmation of the
differentially expressed mRNA between the reciprocal
F1 hybrids. The traces in red are controls and
those in green are of competitive PCR using gene specific primers (see
"Materials and Methods" for details). A and B show traces of cDNA
fragments of the reciprocal F1 hybrids that were
high (M0081-syn0 × M0023-syn0) and low (M0023-syn0 × M0081-syn0), respectively, for the CG phenotype. Competitive PCR with
specific primers to abscisic acid- and stress-inducible protein
(AF09573; see Table I) caused the red (control) peak (shown by the red
arrow) to disappear, confirming the gene identity. Similarly, C and D
show the traces of the desiccation tolerant (M0021-syn4 × M0337-syn4) and sensitive (M0337-syn4 × M0021-syn4) reciprocal
F1 hybrids, respectively, showing the competitive
PCR confirmation with alliinase (AL035356; see Table II) specific
primers. The red traces in each of the panels represent an average of
six electrophoretic traces of the digests from replicate samples. The
differential expression (i.e. fold change) of the cDNA fragments can be
gauged by comparing the peak heights of the red traces between A and B
and also between C and D. The length of the cDNA fragment is shown
along the x axis as number of nucleotides, and the height of
the peaks (y axis) represent the abundance in arbitrary
fluorescence units.
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Protein Expression Profiles
The average protein yields were 14% and 19.5% (dry weight basis)
for embryos at 40% moisture content and 11-d-old germinating embryo
axes, respectively, suggesting that most of the proteins were extracted
from the tissue. The principle steps involved in the protein expression
profiling are illustrated in Figure
6.

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Figure 6.
Schematic representation of the protein profiling
process. Protein extracts from the samples were resolved on
two-dimensional gels, first by their pI followed by their relative
molecular mass. The gels were stained with a highly sensitive
fluorescent dye and were scanned for image data processing. Each
protein feature on the gel was cataloged by its position (pI and
Mr) and density (volume) in the gel,
referred to as PEM. The PEMs of replicate samples of each
F1 hybrid were compiled and the differentially
expressed protein features between the reciprocal
F1 hybrids were identified. These protein
features were then robotically excised and subjected to trypsin
digestion (site-specific cleavage at the C-terminal of Lys or Arg
residue), and masses of the resulting oligopeptides were measured using
matrix-assisted laser-desorption ionization time of flight mass
spectrometer (MS). A portion of the digest was also subjected to MS/MS
analysis using nano-electrospray ionization source (Z-spray) on a
quadrupole time of flight MS. The uninterpreted fragmentation spectra
in combination with the masses of the tryptic fragments were used to
query the databases (GenPept, SwissProt, and Pioneer/DuPont and Oxford
GlycoSciences' proprietary) using a computer program (SEQUEST program,
Fennigan Corp., San Jose, CA) to obtain the protein
identification (for details, see "Materials and
Methods").
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A total of 7,419 and 6,585 unique features (proteins with different
pI/Mr combinations) were detected across
samples within the CG and DT traits, respectively. Of these, 2,641 and
1,876 features were consistently detected above the background
threshold level for CG and DT experiments, respectively. The F-test
identified 117 features in CG and 205 features in DT samples that were
significantly differentially expressed (P < 0.1) with
1.5-fold change between the reciprocal F1s. A
subset of these features was further analyzed to obtain the protein identification.
The selected protein features were excised from the gels
and subjected to in-gel trypsin digestion. The database search using tryptic-oligopeptide mass and tandem mass spectral (MS/MS) information with SEQUEST program (Fennigan Corp.) resulted in the identification (annotation) of many proteins. The representative PEMs with the annotated proteins that are differentially expressed between the reciprocal F1 hybrids are shown in Figure
7. The reason why some of the protein
features are difficult to see on the gels is that they are expressed at
low levels and can only be detectable by the highly sensitive
scanners.

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Figure 7.
PEMs of representative samples for the CG (A) and
DT (B) experiments with annotations. The protein features indicated by
red spots were differentially expressed between the reciprocal
F1 hybrids. The identification of each of the
proteins and their descriptions are provided in Tables III and IV for A
and B, respectively.
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Protein identifications obtained for 56 features in the CG experiment
(Fig. 7A) and 54 features in the DT experiment (Fig. 7B) are listed in
Tables III and IV, respectively. Identification of the remaining
features in each trait could not be obtained because of the
database limitations. The oligopetide masses and MS/MS spectral data of
some of the features matched more than one gene. For example,
globulin-2 precursor and nucleoside diphosphate kinase I with pI 6.5 and Mr 12,010 (protein feature no. 4,413; Table
III)
or globulin 1L and superoxide dismutase with pI 4.9 and
Mr 13,670 (protein feature no. 3,544; Table
IV)
had either the same or different oligopeptide sequence matches. On the
other hand, two or more protein features had the same
annotation. For example, several protein features in both CG (Table
III) and DT (Table IV) were annotated to be globulin-2 precursor
proteins.
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Table III.
Differentially expressed genes for the CG trait
revealed by protein expression profiling
The expression levels of proteins extracted from embryo axes tissue of
seeds germinated for 11 d at 12.5°C in the dark were compared
between the reciprocal F1 hybrids that were high
(M0081-syn0 × M0023-syn0) and low (M0023-syn0 × M0081-syn0)
for CG phenotype. The gene identities of the proteins were obtained by
matching the mass sizes of the trypsin-derived oligopeptides as well as
the uninterpreted tandem mass spectra to those generated by a computer
algorithm (SEQUEST, Fennigan Corp) from the GenPept, SwisProt, or
proprietary databases.
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Table IV.
Differentially expressed genes for the DT trait
revealed by protein expression profiling
The expression levels of proteins extracted from R5 stage embryos at
40% kernel moisture content were compared between the F1
hybrids that were desiccation tolerant (M0021-syn4 × M0337-syn4)
and desiccation sensitive (M0337-syn4 × M0021-syn4). The gene
identities of the proteins were obtained by matching the mass sizes of
the trypsin-derived oligopeptides as well as the uninterpreted tandem
mass spectra to those generated by a computer algorithm (SEQUEST,
Fennigan Corp.) from the GenPept, SwissProt, or proprietary databases.
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DISCUSSION |
Screening and Phenotypic Analysis
Significant variation observed for CG and DT in this population of
RILs enabled us to select the most divergent inbreds for evaluation of
parent-of-origin effect in reciprocal F1 hybrids. Because the RIL population was derived from a single cross (B73 × M017), only two possible alleles can occur for any gene at a given
locus. Furthermore, each RIL was self-pollinated for at least 11 generations, creating a population of inbreds each of which is
homogeneous (one haplotype) and homozygous at most of the loci (Burr
and Burr, 1991 ). Therefore, this RIL population was ideal for studying
the genetics of many traits, especially complex ones such as CG and DT
included in this study. Comparison of reciprocal
F1 hybrids produced by crossing divergent RILs
provided an ideal system (such as comparison of isogenic lines) to
identify genes that influence the phenotypes considered.
Of the 25 RIL combinations (five high × five low) in each trait,
the majority did not show significant differences between their
reciprocal F1 hybrids (data not shown). However,
reciprocal F1 hybrids between specific divergent
RILs showed significant phenotypic differences, suggesting that
parent-of-origin effects were influencing these traits in a
genotype-specific manner. Differential phenotypic expression between
reciprocal F1 hybrids, as was shown in other
studies, is considered primary evidence of the imprinting phenomenon in
plants (Kermicle, 1970 ; Lin, 1982 ; Ohad et al., 1996 ; Chadhury et al.,
1997 ; Grossniklaus et al., 1998 ). Pinnell (1949) and Bdliya and Burris
(1988) reported phenotypic differences between the reciprocal
F1 hybrids of selected maize genotypes for CG and
DT traits, respectively, but the underlying molecular bases were not explored.
Cytoplasmic and Dosage Effects
It is not uncommon to see phenotypic differences between
reciprocal F1 hybrids for many morphological and
agronomic traits in maize, especially those caused by cytoplasmic
factors (mitochondrial and chloroplast genomes, commonly referred to as
the maternal effect). To discern whether such factors were involved,
reciprocal F1 hybrids were self-pollinated, and
phenotypes of the resulting progeny were evaluated. Phenotypic
differences between the self-pollinated progeny of the reciprocal
F1 hybrids were significantly reduced compared
with the reciprocal F1 hybrids themselves for
both traits. This suggested that there was only a negligible effect of
cytoplasmic factors on the phenotypes observed (Fig. 4). Unlike
endosperm tissue, the tissues used in this study (embryos at R5 stage
and germinating embryo axes) were diploid, and, therefore, dosage of
any given gene should be equal from both female and male parent. The
genotype of the endosperm can have a significant effect on early embryo
development (Chang and Neuffer, 1994 ), but, to our knowledge, it has
not been shown to have an effect on embryos at later stages of development.
Imprinting Effect
We hypothesize that the phenotypic differences between the
reciprocal F1 hybrids observed in this study were
most likely due to the imprinting phenomenon, and the differentially
expressed genes identified were either directly or indirectly
associated with such phenomenon. Imprinting was extensively studied in
plants involving endosperm genes in maize (Kermicle and Alleman, 1990 ) and Arabidopsis (Luo et al., 2000 ; Russinova and de Vries, 2000 ). One
of the best characterized imprinted loci of plants is the R
locus that controls the anthocyanin pigmentation in maize aleurone. Using maize B-A translocation stocks with segmental
duplications and deletions of chromosome 10L, Kermicle (1970 , 1978 )
demonstrated that some of the R alleles condition mottled pigmentation
in the aleurone after paternal transmission. Similarly, Lin (1982) ,
also using maize B-A translocations, provided evidence for
the imprinting effect of endosperm factors (Ef genes) in
normal endosperm growth. The Ef genes, some of which are
also located on chromosome 10L, were shown to support normal growth of
endosperm only when inherited from the male parent.
In this study, we observed various -tubulin genes to be
differentially expressed in embryo and germinating-embryo axis tissues between the reciprocal crosses in both CG (Table I) and DT (Table IV)
traits. Lund et al. (1995b) reported differential demethylation of
-tubulin genes between embryo and endosperm tissues in maize where
DNA demethylation correlated with the increased accumulation of tub 2
and tub 4 RNA. Furthermore, they also reported that the differential
demethylation occurred in the endosperm tissue between reciprocal
crosses of maize inbred lines (W64A and A69Y) and that the
demethylation state of tub 3 and tub 4 was maternally transmitted.
The fertilization independent seed (FIS) genes
(MEA or FIS1, FIS2, and FIE
or FIS3) that repress Arabidopsis endosperm development in
the absence of pollination are perhaps the most studied imprinted genes
in plants at the molecular level (Grossniklaus et al., 1998 ; Luo et
al., 2000 ). Earlier observations of imprinting (parent-specific transmission) of these genes have come from studying the reciprocal F1 hybrids involving wild-type and mutant alleles
of FIS genes (Ohad et al., 1996 ). Vielle-Calzada et al.
(2000) recently reported that only maternal alleles were expressed
during early embryogenesis (up to 64-cell stage embryo) and endosperm
development in Arabidopsis. However, the authors also reported that the
paternal alleles were expressed 3 to 4 d after fertilization. In
this study, we demonstrate that embryos derived from seed of
reciprocally cross-pollinated inbreds can display divergent phenotypes
and differential patterns of gene expression, despite the fact that
they are genetically identical.
mRNA Profiling
We used GeneCalling technology of CuraGen Corporation (New Haven,
CT) to profile differences of mRNA expression between the reciprocal
F1 hybrids that displayed significant phenotypic
divergence in their ability to tolerate high-temperature desiccation or
germinate under cold conditions. Shimkets et al. (1999) showed that the GeneCalling profiling procedure could yield at least one detectable cDNA fragment from more than 90% of expressed genes with an average of
2.3 fragments per gene when 72 restriction enzyme pairs were used. In
our study, we used 89 and 88 enzyme pairs for CG and DT traits,
respectively, yielding >32,000 cDNA fragments in each case. Only a
subset (< 2%) of these showed 1.5-fold change in their expression
between the reciprocal F1 hybrids. Comparison of
reciprocal F1s, which are genetically identical
(also, we sampled diploid tissue), helped eliminate the effect of DNA
polymorphism that can significantly increase false positives (the
number of cDNA fragments not relevant in influencing the trait) in the
GeneCalling process.
A subset of the differentially expressed cDNA fragments was selected
for further analyses via competitive PCR or cloning and sequencing.
Twenty-four genes were positively confirmed from a total of 336 cDNA
fragments that were differentially expressed ( 1.5-fold change)
between the high- and low-reciprocal F1s for CG
(Table I). Similarly, the identification of 64 genes was positively confirmed out of 656 differentially expressed cDNA fragments between desiccation-tolerant and -sensitive reciprocal F1
hybrids (Table II). The maximum expression fold change observed for the
CG trait was 14.8 (Table I) and that in DT was 8.0 (Table II). BLAST
analyses revealed that all the genes were in public databases, either
in GenBank composite/expressed sequence tag (EST) or in
SwissProt/TrEMBL, and belong to wide functional categories (Tables I
and II).
Protein Profiling
Systematic survey of subcellular or whole-cell proteins by either
N-terminal Edman sequencing or tandem mass spectrometry of individual
spots resolved on a two-dimensional gel followed by database searching
is fast becoming a common method of choice in developing maps of
proteomes in various organisms, including plants (Peltier et al.,
2000 ). To our knowledge, a survey of differentially expressed proteins
that are attributable to a specific trait (phenotype) has never been
reported in plants. In this study, we compared protein profiles of
reciprocal F1 hybrids that showed differential phenotypes for CG and DT traits.
Protein expression map (PEM) analysis with Oxford GlycoSciences'
(Oxfordshire, UK) technology involved high-resolution quantitative detection (femtomol levels) of polypeptides followed by identification of proteins by database query using MS/MS spectral data (Page et al.,
1999 ). In addition, PEM analysis can also provide insight into
posttranslational modifications, proteolytic derivation, or isoforms of
the same protein. For example, enolase 1 was annotated for two
different protein features, numbers 2,518 and 2,519 (Table III; Fig.
7A), with a mass difference of 680 d and a pI difference of 0.1. These values suggest that the former protein is a proteolitic derivative of the latter or that they are isoforms of same enzyme, perhaps localized in different subcellular compartments. In maize, enolase 1 (eno1) is induced under anaerobic stress but
eno2 is constitutive. Lal et al. (1998) speculated that the
regulation of these genes involves post-translational modification.
MS/MS of a few of the protein features in this study were matched to two different proteins each. Such annotations include protein feature
numbers 4,413, 2,869, and 1,888 in Table III and 3,544 and 2,304 in
Table IV. Some of these have common sequence motifs suggesting that
they have functional similarity or that they belong to the same
regulatory pathway.
Differentially Expressed Genes
The differentially expressed genes revealed by mRNA profiling and
by protein profiling were different in both CG and DT traits. Nonetheless, several genes with similar functions and biochemical pathways were represented in both types of expression profiling. Examples include glycolytic/gluconeogenic pathway enzymes, members of
cell wall and polyamine metabolism, ABA/stress-induced proteins, components of the cytoskeleton, chaperonins, etc. (Tables I-IV). Although we cannot know with certainty, perhaps the same genes were not
observed by both profiling methods within each trait because only a
subset of the total population of differentially expressed cDNA
fragments and proteins were identified. A more comprehensive analysis
of expressed proteins would require cellular fractionation and
enrichment methods to identify low-abundance proteins.
Some of the genes observed in this study were previously shown to be
associated with biotic and abiotic stress response in maize during seed
development and germination. These include ABA/stress-inducible proteins, heat shock proteins, late embryogenesis abundant (LEA) proteins, and proteases (Yacoob and Filion, 1986 ; Prasad, 1996 ; Nieto-Sotelo et al., 1999 ; White et al., 2000 ). Upon comparing the
accession numbers of drought and cold-induced genes in Arabidopsis reported by Seki et al. (2001) with the differentially expressed genes
in this study (Tables I-IV), we found none of the genes to be in
common. A closer examination by the gene description revealed that the
expression of several genes, including LEA proteins, enolase, Cys
protease, glyoxalase I, nodulin, heat shock protein dnaJ, and
-glucosidase were changed in both studies. Expression of these genes
was modulated in the same direction in both the studies, except one of
the LEA proteins, enolase, and glyoxaylase I (Seki et al., 2001 ; Tables
I-IV). This could be explained by differential embryo morphology,
temporal and developmental differences, mono- and dicotyledonous
nature, differences in experimental conditions, and differential
responses of various isoforms of these genes to stress.
Protein profiling of reciprocal F1s for the CG
trait showed modulation in expression of genes involved in protein
degradation such as proteases and proteins associated with trafficking
of ubiquitinated proteins to proteosomes (Fu et al., 1999 ; Tables I and
III). These proteins may play a role in mobilization of proteins from
the scutellum to the growing meristems of the primary root and shoot
during germination. Proteosome (26S and 20S) component proteins and
proteases were also differentially expressed for the DT trait (Table
II) and, in an analogous way, may be important in preconditioning the
embryo so as to render it more tolerant of high-temperature stress
during the final phase of maturation.
Protein expression profiling of reciprocal F1
hybrids divergent for DT showed 30 different globulin polypeptides.
That is more than double the number of previously reported globulin
fractions (Cross and Adams, 1983a , 1983b ). Globulins are encoded by
Glb1 and Glb2 genes, which are present in only
one or two copies each in the maize genome (Belanger and Kriz, 1991 ;
Wallace and Kriz, 1991 ). However, the details of post-translational
processing and assembly of such a large number of polypeptides into
protein bodies remain unclear. It was interesting to note that the
majority of globulin 1 fractions were down-regulated, whereas globulin
2 fractions were up-regulated in the desiccation-tolerant
F1 hybrid. Sequence alignment of Glb1
and Glb2 revealed no significant similarity. Further
examination is required to understand the effect of globulins on DT in maize.
Some of the differentially expressed genes observed in this study were
implicated in more than one function, including structural, enzymatic,
and regulatory with various subcellular localizations. True functions
of many of the genes are currently being studied. It is important to
understand that both of these traits are complex in that the allelic
condition of many genes at different loci, rather than a single or a
few genes, may determine the phenotype. It is not surprising that these
traits were associated with a large number of genes encompassing a
broad range of biochemical pathways. This is, in fact, borne out by the
mere number of genes we measured as differentially expressed in this
tightly controlled comparison. It is reasonable to assume that
pleiotropic effects of a subset of the differentially expressed genes
caused altered expression of some of the other genes identified in this
study. It is expected that among the genes identified as
"differential" there lie those that are intimately involved in
controlling cellular processes that lead to the manifestation of
differences in CG and DT phenotypes.
 |
MATERIALS AND METHODS |
Germplasm Screening and Reciprocal F1 Hybrid
Production
Recombinant inbred populations were generated from a cross
between B73 and MO17. The inbred lines were derived by self-pollinating the original F1 plants (syn0) or sib-mating the original
F1 plants for two (syn2) or four (syn4) cycles, followed by
self-pollinating each line of the F2 progeny for at least
11 generations. These lines were screened for their ability to tolerate
high desiccation temperature when harvested at high seed-moisture
content (for DT) and to germinate under cold conditions (for CG and
DT). The lab-based CG test was performed according to Byrum and
Copeland (1995) with minor modifications. Seeds were germinated in
rolls of wet germination paper and incubated at 10°C for 7 d
followed by 3 d at 27°C in the dark. Seedlings that had 2.5 cm
shoot and 2.5 cm primary root lengths were considered germinated. In
some cases, the primary root and shoot lengths were also recorded as a
measure of seedling vigor (data not shown).
For the DT trait, 100 RILs that showed high germination under cold test
conditions when harvested at low seed moisture (approximately 25%, R6
stage or physiological maturity) and dried at low (35°C/normal) temperature were screened. The screening was done by harvesting self-pollinated ears at low ( 25%) or high ( 40%, R5, or dent stage) seed-moisture content and drying at low (35°C, relative humidity [RH] 51%) or high (43°C, RH 28%) temperatures followed by performing the CG test. For the CG trait, self-pollinated ears harvested after physiological maturity from 780 RILs were screened using the CG test. Five contrasting RILs for each trait, DT (tolerant: M0002-syn0, M0021-syn4, M0212-syn4, M0241-syn0, M0363-syn4; and sensitive: M0079-syn0, M0213-syn0, M0247-syn4, M0337-syn4, M0367-syn2) and CG (high: M0029-syn2, M0062-syn0, M0081-syn0, M00324-syn0, M00367-syn2; and low: M0023-syn0, M0028-syn0, M00106-syn4, M0113-syn2, M0342-syn0), were selected for crossing. The divergent RILs were self-pollinated and cross-pollinated reciprocally in a diallel experimental design. Seeds from the selected reciprocally crossed ears
(F1s) were grown and self-pollinated in the following
season to test for cytoplasmic inheritance of the traits.
Phenotypic Analysis and Sample Collection
Self-pollinated and reciprocally cross-pollinated ears for the
DT study were harvested at high (R5 stage) and low (R6 stage) seed
moisture. After drying treatments at low (35°C, RH 51%) and high
(43°C, RH 28%) temperatures, CG was evaluated on three individual ears for each treatment as described earlier. Similarly, five mature
individual self- and reciprocally cross-pollinated ears were tested for
the CG trait.
Specific combinations of RILs were identified based on the phenotypic
analyses where the reciprocal F1 hybrids displayed
significant differences. In case of the DT trait, a few rows of kernels
were removed from each ear before drying treatment to estimate moisture content and to dissect embryos (only from seeds harvested at 40% moisture content) for RNA and protein extraction. In case of the CG
trait, embryo axes tissue of seed germinated for 11 d at 12.5°C in the dark were used to extract RNA and protein.
GeneCalling Analysis of mRNA from Reciprocal F1
Hybrids
The GeneCalling procedure involves a comprehensive quantitative
analysis of differentially expressed transcripts. Isolated mRNA is
converted to double-stranded cDNA, which in turn is subjected to
digestion with specific pairs of restriction enzymes (restriction fragments). Gene identification is accomplished by matching fragment size(s) using a computer algorithm to query against virtual digests of
genes in a database (see Rothberg et al., 1999 ; Bruce et al., 2000 ). In
brief, total RNA was isolated from 1 to 2 g of ground tissue using
the PUREscript kit (Gentra Systems, Inc., Minneapolis). Isolation of poly(A+) RNA, cDNA preparations, restriction
digestion, adapter ligation and PCR amplification, restriction fragment
separation, comparison and identification of differentially expressed
fragments, and gene identification and confirmation were performed
according to Shimkets et al. (1999) . The cDNA preparations of CG and DT samples were digested with 89 and 88 restriction enzyme pairs, respectively. Fragments from each digest were ligated to and PCR amplified with restriction enzyme-specific oligonucleotide
adaptor/primer pairs. One of the primers was labeled with fluorescamine
and the other with biotin. Labeled fragments were purified using
streptavidin beads and were resolved by high-resolution capillary gel
electrophoresis to generate traces showing peaks whose position and
height represented Mr and abundance of cDNA
fragment(s), respectively. Trace data were used for qualitative
(Mr) and quantitative (abundance)
comparisons between the samples from reciprocal F1 hybrids.
The cDNA fragments that showed 1.5-fold change between the reciprocal
F1 hybrids were identified from the trace database and were
queried against publicly available maize (Zea mays)
sequences and ESTs from the proprietary Pioneer/DuPont database for
gene identification. The cDNA fragments that did not match any genes in
the database were cloned from the original PCR reaction and sequenced
using standard protocols. Genes identified through the GeneCalling
process or via cloning of fragments were confirmed by a competitive PCR
method in which the original PCR reaction was re-amplified in the
presence or absence of an excess quantity of unlabeled
gene/sequence-specific primers (a few additional bases into the
template). Gene identification was positively confirmed if competitive
PCR caused the chromatographic peak of the particular cDNA species to
completely disappear. On occasion, in cases where there was more than
one cDNA species at a single point of the chromatogram (i.e. different
cDNA fragments with the same Mr), then a
partial reduction of peak height would occur, also confirming the gene identification.
All the cloned and sequenced cDNA fragments were subjected to BLASTX
and BLASTN analyses by querying against public and proprietary databases (Altschul et al., 1990 ). Initial searches were performed against GenBank and SwissProt/TrEMBL, and genes with 93% identity of
the entire query fragment were recorded. Remaining sequences were
searched in the EST databases, and the accession numbers were recorded.
Protein Expression Profiling
Proteomic analysis involved high-resolution separation on
two-dimensional gels, gel image analysis, robotic excision, MS/MS analysis, and protein identification by querying virtual spectra of
database proteins (Fig. 6). Page et al. (1999) described in detail
various steps involved in this procedure. The same processes were
followed in this experiment with minor modifications as described below.
Proteins from frozen ground tissue were extracted in a buffer
containing 8 M urea, 2 M thiourea, 65 mM dithiothreitol, and 4% (w/v) CHAPS. After 4 h of
extraction on a shaker at 4°C, the supernatants were subjected to
two-dimensional gel electrophoresis consisting of isoelectric focusing
in the first dimension followed by SDS-PAGE in the second dimension.
Three gels were run for each sample. The gels were stained with
fluorescent dye OGT MP17 that binds non-covalently to the SDS moiety
attached to the protein, enabling features at sub-nanogram quantities
to be visualized. High-resolution (200 µM) scans of the
gels were electronically stored in a database for image analyses. Each
protein feature found across replicate gels was indexed (with pI and
relative Mr) along with its average (across
replicate gels) intensity, and recorded as percentage of the total
feature intensity (percent volume). Such definition of all the features
in a given sample across the replicate gels is referred to as PEM.
Samples from three replicate ears from each reciprocal F1
hybrid of a given trait were organized into a table by the protein
feature index numbers using Melanie II software (Wilkins et al.,
1996 ).
Differential protein expression between the reciprocal F1
hybrids was analyzed using statistical methods. The raw percent volume
data of each protein feature across replicate gels and samples of each
F1 genotype were subjected to analysis of variance. Features that showed significant percent volume difference
(P 0.1) between the reciprocal F1s
and were clearly visible in the gel images of at least one genotype
were used to calculate ratios indicating fold expression differences.
Fold change in expression was derived by taking the ratio of mean
percent volume of a given feature between the reciprocal F1
samples. Proteins that showed 1.5-fold change in expression were
excised from the gel by a software-driven robotic cutter and delivered
in a 96-well plate for proteolysis and MS analyses.
Excised proteins were subjected to trypsin digestion, and the mass of
the oligopeptides were estimated by matrix-assisted laser-desorption
ionization time of flight mass spectrometer (ELITE, PerSeptive
Biosystems, Framingham, MA). For MS/MS analyses, nano-electrospray ionization source (Z-spray) on a quadrupole time of flight instrument (Micromass, Manchester, UK) was used to generate fragmentation spectra.
These uninterpreted MS/MS of the peptides were converted to centered
spectra and used to query public (GenPept and SwissProt) and
proprietary (Pioneer/DuPont and Oxford GlycoSciences) databases using a
computer algorithm (SEQUEST program, Fennigan Corp.) based on the
approach of Eng et al. (1994) . The sequences of the oligopeptides were
derived by matching the predicted ion series from a complete peptide
sequence in the database consistent with the observed y-type
fragmentation of peptide pools in the sample (Biemann, 1990 ).
 |
ACKNOWLEDGMENTS |
We thank Emily van de Mortel (Pioneer Seed Physiology
group) for her extensive technical support in RI population
screening, crossing, and phenotypic analyses; Dale Wilson (Pioneer Seed
Physiology group) for his help with statistical analysis; the Pioneer
winter nursery staff in Puerto Vallarta, Mexico, for field support; and Oswald Crasta (CuraGen Corporation) and Jeremy Hayter (Oxford GlycoSciences Plc) for technical support and helpful discussions.
 |
FOOTNOTES |
Received November 20, 2001; returned for revision January 21, 2002; accepted March 5, 2002.
*
Corresponding author; e-mail
Krishna.Kollipara{at}pioneer.com; fax 515-334-4778.
Article, publication date, and citation information can be found at
www.plantphysiol.org/cgi/doi/10.1104/pp.000729.
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