First published online January 9, 2003; 10.1104/pp.009985
Plant Physiol, February 2003, Vol. 131, pp. 443-453
Genomic and Proteomic Analysis of Mitochondrial Carrier Proteins
in Arabidopsis1
A. Harvey
Millar* and
Joshua L.
Heazlewood
Plant Molecular Biology Group, School of Biomedical and Chemical
Sciences, The University of Western Australia, Crawley 6009, Western
Australia, Australia
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ABSTRACT |
Plant mitochondria maintain metabolic communication with the
cytosol through a family of carrier proteins. In Arabidopsis, a subset
of 45 putative genes encoding members of this family have been
identified based on generalized mitochondrial carrier features. No gene
clusters are apparent and few of the predicted protein products have
mitochondrial targeting sequences recognized by bioinformatic
predictors. Only nine genes are currently represented by more than 10 expressed sequence tags at The Institute for Genomic Research. Analyses
of public microarray experiments reveal differential expression
profiles of the more highly expressed members of this gene family in
different plant organs and in response to plant hormone application and
environmental stresses. A comparison of this Arabidopsis carrier subset
(45) to the yeast gene family (35) reveals 10 orthologous groups
between the two species. Recent surveys of the Arabidopsis
mitochondrial proteome by two-dimensional gel separations have not
identified any of these carrier proteins, presumably because of their
hydrophobicity and basicity. Isolating integral membrane proteins from
Arabidopsis mitochondria, using one-dimensional electrophoresis for
protein separation and tandem mass spectrometry-based sequencing of
doubly charged peptides, we have unequivocally identified specific
carrier gene products located in mitochondria. This approach has
identified six of the nine carriers represented highly in expressed
sequence tag databases: adenine nucleotide translocator (At3g8580 and
At5g13490), dicarboxylate/tricarboxylate carrier (At5g19760), phosphate
carrier (At5g14040), uncoupling protein (At3g54110), and a carrier gene
of unknown function (At4g01100). Overall, the combined transcript and
protein expression data indicates that only a small subset of the
carrier family of genes provide the majority of carrier proteins of
Arabidopsis mitochondria.
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INTRODUCTION |
The transport of metabolites and
other solutes across the mitochondrial inner membrane is catalyzed by a
series of specific carriers that operate as exchangers/cotransporters.
A superfamily of related transporters has been described in eukaryotes
that contain a tripartite structure of 100 amino acid segments each consisting of two membrane-spanning -helices separated by an extra-membrane hydrophilic loop (Walker and Runswick,
1993 ). These transporters operate as homodimers with a 12 transmembrane domain structure (Saraste and Walker,
1982 ) and are responsible for the transport of a wide variety
of metabolites between mitochondria and the cytosol. Known examples
include the adenine nucleotide transporter (ANT), the
oxoglutarate-malate transporter (OMT), the uncoupling protein (UCP),
the phosphate transporter (PiC), the dicarboxylate transporter, and the
tricarboxylate transporter (Palmieri et al., 1996 ).
Evidence from yeast also indicates that a variety of amino acid
transporters and cofactor transporters belong to this superfamily
(Crabeel et al., 1996 ; Liu and Dunlap, 1996 ; Palmieri et al., 1996 ). Studies have
considered the structure, function, and import of these carriers into
mammalian and yeast mitochondria (Palmieri et al.,
1996 ). Some of these transporters have more recently been
implicated as components of the mitochondrial transition pore that
opens during the early events of cytochrome c-dependent programmed cell
death pathway (Mig-notte and Vayssiere, 1998 ). Since
the completion of the yeast genome, it is now apparent that 35 genes
encode members of this protein family. Fewer than one-half the members
of this family have been assigned a function (Belenkiy et al.,
2000 ; Palmieri et al., 2001a ,
2001c ; Prohl et al., 2001 ); whereas
expression profiling has revealed that members of unknown function are
differentially expressed (Belenkiy et al., 2000 ). In
addition, yeast two-hybrid studies suggest that some members of this
family interact with noncarrier proteins including a
ubiquitin-conjugating protein, a recA-like DNA repair protein, and a
cellular chaperonin (Belenkiy et al., 2000 ).
Biochemical characterization of plant mitochondrial carrier function
over the last 30 years has revealed the operation of carriers for
phosphate, adenine nucleotides, mono-, di-, and tri-carboxylates, amino
acids, and cofactors such as NAD+ and coenzyme A
(Wiskich, 1977 ; Day and Wiskich, 1984 ;
Douce et al., 1997 ). However, little molecular research
on the genes encoding these carriers has been undertaken (Laloi,
1999 ). Our analysis of the Arabidopsis genome reveals a set of
45 putative mitochondrial carrier proteins based on homology with yeast
and animal counterparts, but it is unclear which genes are expressed
and which gene products are targeted to mitochondria. We (Millar
et al., 2001 ) and others (Kruft et al., 2001 )
have recently presented proteomes of Arabidopsis mitochondria based on
two-dimensional gel separations, but mitochondrial carrier proteins
were not identified in either of these studies. Here, we have analyzed
available evidence determining paralogous groups in the Arabidopsis
carrier gene family and linking them to their yeast orthologs. We have
assessed the relative expression of the gene family using publicly
available expressed sequence tag (EST) and microarray data. We have
then determined the actual presence of carrier proteins in Arabidopsis
mitochondria using a modified proteomic approach based on isolation of
integral membrane proteins, standard one-dimensional SDS-PAGE, and
tandem mass spectrometry (MS/MS)-based sequencing of tryptic peptides.
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RESULTS AND DISCUSSION |
Identification of Mitochondrial Carrier Proteins in the Arabidopsis
Genome
Many of the various substrate carriers in the inner membrane of
yeast and mammalian mitochondria contain up to three copies of a
10-amino acid sequence motif known as the mitochondrial energy transfer
signature (METS; Prosite PDOC00189):
P-x-[DE]-x-[LIVAT]-[RK]-x-[LRH]-[LIVMFY]-[QGAIVM]. Analysis
of the complete Arabidopsis genome with this METS homology motif
reveals a set of 80 genes that encode putative proteins containing at
least one copy of this motif. In this set of 80, a total of 45 protein
products contained some common attributes of the mitochondrial carrier
protein family. These genes encode 300 to 450 (350 ± 35) amino
acid proteins with nine to 10 (9.8 ± 0.3) basic pIs and six
putative membrane-spanning domains. Each member of this set of 45 genes
shared a higher degree of sequence identity with at least one other
member of the carrier family than to any other Arabidopsis gene based
on BLAST analysis. This subset of carrier genes likely excludes some
related members that would be included if the selection criteria were
changed in some manner. For example, by widening the amino acid residue
window a putative peroxisomal carrier (At5g61810) would be included. However, we consider that this set of 45 carrier genes represents a
generalized mitochondrial carrier structure with a low probability of
excluding such carriers and a low probability of arbitrary inclusion of
non-mitochondrial carrier genes. Clearly putative carriers that do not
contain the METS motif and that are longer than 450 amino acids have
not been included in this analysis. For this work, the above set of 45 proteins are designated as set A. Chromosome number and gene number in
Table I form the unique identifier of
Arabidopsis genes, the Arabidopsis Genome Initiative gene code. Gene
08580 in Table I has an Arabidopsis Genome Initiative gene code of
At3g08580 representing a physical gene locus on chromosome 3, at
position 858. This gene would be physically flanked by 857 (At3g08570)
and 859 (At3g08590). Using this information, the genes in set A appear
evenly distributed across the five chromosomes of the Arabidopsis
genome (7, 7, 8, 8, and 15). No physical clusters of two or more genes
at one physical locus are evident in set A. The closest carrier gene
pairs are found on chromosome 5 and are 16 genes apart. Most members of set A are separated by hundreds of genes (Table I). This means that
there is no evidence of the very recent duplication of genes leading to
physical clusters often observed in other Arabidopsis large gene
families (Arabidopsis Genome Initiative, 2000 ). Only two
genes are found to be duplicates residing in recent segment duplications between chromosomes 1 and 2 (At1g07030 and At2g30160) and
chromosomes 4 and 5 (At2g47490 and At3g62650) based on the annotation
of chromosome duplication segments
(http://mips.gsf.de/proj/thal/db/gv/rv/rv_frame.html). In the latter
pair, the second gene (At3g62650) is not included in set A (Table I)
because it only represents the first exon of a carrier protein encoding
a 152-amino acid protein and does not contain a METS.
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Table I.
Members of the mitochondrial carrier superfamily
from Arabidopsis
The chromosome (Chr) and gene location number (Gene) are indicated
along with the number of ESTs (ESTs TIGR) that compose the homologous
TC sequence (TC TIGR) obtained from TIGR Arabidopsis Gene Indices. The
annotation of each sequence is indicated along with suggested changes
to annotation (*) based on our analysis and recent literature.
car/acylcar, Carnitine/acylcarnitine carrier; carrier, unknown function
carrier. Accession no. refers to a database entry for this protein at
National Center for Biotechnology Information (NCBI;
http://www.ncbi.nlm.nih.gov). The no. of mitochondrial energy transfer
signatures (METS) in each sequence, predicted physical properties of
molecular mass (MM), pI, and the number of amino acids at the N
terminus before the first predicted transmembrane sequence (Extension).
PR, Predicted localization of sequence by Predotar; M, mitochondrial
targeting; P, plastidic targeting; N, other targeting. TP, Predicted
localization of sequence by TargetP; M1-5, mitochondrial; C1-5.
chloroplast; S1-5, secretory pathway; 1-5, other (1, high
probability; 5, low probability).
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Similarity and Paralog/Ortholog Studies
Annotation of the set A protein sequences reported by The
Institute for Genomic Research (TIGR) and Munich Information Centre for
Protein Sequences (MIPS) revealed a series of subfamilies predicted, on
the basis of sequence similarity, to transport adenine nucleotides (6),
inorganic phosphate (3), protons/fatty acids (4),
carnitine/acylcarnitine (2), and dicarboxylates (2). One of the
dicarboxylate carrier (DC) family members currently annotated as an OMT
has recently been experimentally identified as a
dicarboxylate/tricarboxylate carrier (DTC) of broad substrate
specificity (Picault et al., 2002 ). A new annotation of
this carrier as DTC has been added to Table I. A total of 28 genes of
set A were annotated in TIGR and MIPS simply as carriers without any
known or putative function. No link between physical chromosome
location and annotated function was apparent (Table I). To further
assess the relationships and the possible function of these proteins,
an unrooted similarity tree of the set A sequences was constructed
using ClustalX and PHYLIP (Fig. 1). To
further extend similarity analysis, cross species orthologs and
in-species paralogs were predicted between the Arabidopsis gene family
(45 members) and the yeast carrier protein family (35 members) using
INPARANOID (Remm et al., 2001 ). Orthologs are defined as
genes in different species that originate from a single gene in the
last common ancestor of both species, whereas paralogs are genes in a
single species that originated from a single gene in an ancestral
species.

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Figure 1.
Similarity of mitochondrial carrier protein
sequences. A, Un-rooted similarity tree generated using the
neighbor-joining method and 1,000 bootstrap reiterations of 45 Arabidopsis carrier family sequences revealing grouping of annotated
carrier functions and a range of carrier clusters of unknown function.
*, Branchpoints with bootstrap values of greater than 70%. On the
basis of this bootstrap cutoff, 14 groups are annotated. B,
Ortholog/paralog analysis of carriers between yeast (35) and
Arabidopsis (45) revealing 10 orthologous groupings. Arabidopsis genes
with a yeast ortholog are bold in A. AAC, ADP/ATP carrier; carnitine,
carnitine/acylcarnitine carrier; -, function unknown.
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The similarity analysis revealed clustering of annotated
subfamilies for ANT (7), PiC (1), carnitine/acylcarnitine (11), a group
of two UCPs (3), and a group containing two DCs and a putative UCP (2).
Although it is tempting to speculate on the apparent overlap between
subgroups 2 and 3, they are annotated as distinct groups for historical
reasons based on differences in putative function. A further nine
subgroups (4, 5, 6, 8, 9, 10, 12, 13, and 14) were apparent for which
no function is currently known (Fig. 1A). A total of eight genes from
set A fell outside these distinct groups (At5g01340, At1g74240,
At4g39460, At5g42130, At2g26360, At4g03115, At1g14140, and At5g64970).
The INPARANOID analysis revealed 10 orthologous groups between
Arabidopsis and yeast, containing approximately one-half the carrier
genes in each species family (Fig. 1B). The three most related
Arabidopsis ANTs were in a single grouping with ATP/ADP carriers from
yeast (amino acid C1-3). The three Arabidopsis PiCs were grouped with
the single-yeast PiC (YJR077C). Five orthologous groups were identified
for which no function is known in either yeast or Arabidopsis.
Interestingly, three Arabidopsis genes currently annotated as a
putative UCP, a putative DC, and an unknown carrier, all grouped with
the DC from yeast (YLR348C). As noted, these three genes also clustered on the similarity tree of Arabidopsis sequences (Fig. 1A). A new annotation of all three genes as putative DC has been added to Table I.
The gene At5g01340, of unknown function, grouped with the yeast YJR095W
succinate/fumarate carrier and is not closely associated with the above
set of YLR348C-like proteins on the unrooted tree (Fig. 1A). The known
DTC from Arabidopsis (Picault et al., 2002 ) does
tentatively cluster with the YLR348C-like proteins. This suggests a
broad family of putative dicarboxylate carrier proteins in Arabidopsis
that may differentially function in tricarboxylic acid cycle
intermediate transport both into mitochondria and out of mitochondria
for the aneropleurotic functions known in plant mitochondria
(Douce et al., 1997 ). Interestingly, known specific transporters for oxaloacetate, flavin, and tricarboxylates in yeast
(Belenkiy et al., 2000 ) do not have clear orthologs in Arabidopsis.
Gene Family Expression Analysis
The number of ESTs representing each of the carrier proteins was
calculated using EST numbers that compose tentative consensus (TC)
sequences at the TIGR Arabidopsis Gene Index database. Numbers obtained
from this database will differ over time because of their use of
different EST libraries as sources and the frequency with which they
update their information. Numbers of ESTs in nonredundant sets have
been used in a variety of organisms as crude estimates of transcript
abundance, and thus they provide a baseline for assessment of which
genes in a set predominate in the mRNA pool (Rafalski et al.,
1998 ; Andrews et al., 2000 ). Of the set A
predicted products, 42 are presently represented by ESTs, and of this
set, only nine are represented by more than 10 ESTs. This set of nine, now referred to as set B, contained two different ANTs, two UCPs, a
PiC, a DC, the DTC, and two carriers of unknown function. From EST data
alone it could be predicted that this subset of genes represents the
majority of the mitochondrial carrier capacity. Interestingly one ANT
(At3g08580) is represented by more than 300 ESTs, more than three times
the number of the second most abundant member of set A (At5g14040).
Assessment of the available data at the Stanford Microarray database
revealed that only 16 of the set A carrier genes were represented on
current collections of microarray slides. Of this 16, a total of eight
were from our set B, those with highly abundant transcripts numbers
from EST data (Table I). Only eight of the 16 carrier genes
significantly changed in abundance during any of the microarray slides
available and were consistently present on arrays for data analysis.
This set of eight contained seven of the set B carriers along with
At5g17400 for which only three ESTs were found (Table I). To assess the
expression pattern of this set of eight, a series of 16 experiments
based on specific treatments of wild-type plants were selected for
further analysis (Fig. 2). This selection
included treatments with plant hormones compared with control plants
(auxin, gibberellin, cytokinin, and abscisic acid [ABA]), comparison
of different plant organs compared against a reference mix of
whole-plant mRNA (leaves, roots, flowers, and siliques) and a series of
stress treatments compared with controls (iron deficiency, cadmium
addition, cold treatment, induction of cell death, growth at high
CO2, and antimycin A addition).

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Figure 2.
Expression profile of Arabidopsis mitochondrial
carrier family genes between tissue types and in response to hormonal
signals and environmental stresses. Public information at the Stanford
Microarray database was analyzed for data on expression of carrier
genes in Arabidopsis. Intensities were reported as red (induced) or
green (suppressed) compared with control samples. Averaged differences
were subjected to log2 transformation, processed,
and clustered by both genes and experiments using Cluster/Treeview
(Eisen et al., 1998 ).
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The carrier expression pattern clustered into two broad groups. Group 1 contained DTC, UCP, a carrier of unknown function, and the low
abundance putative ANT (At5g17400). The expression of this group was
increased in stress conditions, such as application of cadmium or
auxin, exposure to cold, and induction of cell death. ABA application,
on the other hand, decreased expression of this group. Expression was
also down-regulated to some extent in leaves, but no trend was obvious
in the other plant organs relative to whole-plant mRNA. Genes in group
2 contained PiC and the eight clones representing the abundant ANT
(At3g08580). This group was decreased by the stress treatments that
induced group 1, increased by ABA treatment and somewhat up-regulated
in flowers, siliques, and roots compared with whole-plant mRNA. Two
clones did not fit well into either grouping, DC At2g22500 and UCP At1g14140.
The co-expression of PiC and ANT in group 2 is interesting given the
closely tied function of these proteins in phosphate transport and
ATP/ADP transport, both functions essential for the synthesis and
export of ATP for the mitochondrial matrix. The biochemical link
between group 1 members remains more elusive, exacerbated by the
unknown function of At4g01100 and the unclear role of the low abundance
ANT. However, co-expression patterns may reflect similarity in promoter
regions between carriers that need to be further investigated.
Belenkiy et al. (2000) have already highlighted
the value of transcript analysis for the elucidation of yeast carrier
functions by correlating expression profiles with those of other known
proteins to predict substrates likely to need transport under different circumstances.
Targeting Prediction of Gene Products
This family of carrier proteins are all presumed to be targeted to
the mitochondrial inner membrane. In yeast, this is achieved without a
cleavable presequence via a specialized import pathway (Truscott
and Pfanner, 1999 ). Cleavable presequences do occur in some
known mammalian and plant carrier proteins (e.g. ANT, PiC) but are
clearly absent in others (e.g. UCP, OMT; Winning et al.,
1992 ; Zara et al., 1992 ; Laloi,
1999 ; Truscott and Pfanner, 1999 ). The exact
function of these cleavable regions in targeting is uncertain, but a
role in import efficiency (Zara et al., 1992 ) or sorting
between organelles (Mozo et al., 1995 ) has been
proposed. In general, the presequences in these cases are 50 to 70 amino acids in length (Winning et al., 1992 ; Zara
et al., 1992 ). Analysis of the hydrophobicity plots of set A
predicted proteins, reveals that 14 have extended N-terminal regions
greater than approximately 50 amino acid before the first transmembrane
domain (Table I). These extensions could possibly function as targeting
presequences. Similarity studies reveal At4g32400 is a homolog of the
maize adenylate translocator, BRITTLE-1, which is targeted to
amyloplasts not mitochondria in this monocot (Sullivan et al.,
1991 ). The protein encoded by At3g55640 is a homolog of the
known rabbit Ca2+-dependent carrier that is a
member of the mitochondrial carrier superfamily but resides
predominantly in the peroxisomal membrane and only at low levels in the
mitochondrial membrane (Weber et al., 1997 ). Targeting
prediction program based on neural networks to identify mitochondrial
proteins in plants were used to further assess the likely intracellular
location of these proteins in cells. Neither TargetP nor Predotar were
able to offer complementary predictions of protein targeting for the
set of carrier proteins. The divergent import pathway used by
mitochondrial carriers and the possibility that N-terminal extensions
have roles in import distinct from targeting may be the reason for this
lack of predictability (Koehler et al., 1998 ;
Truscott and Pfanner, 1999 ). Further, several N-terminal extensions on yeast carriers were recently postulated and/or
shown to be non-cleaved functional additions involved in Ca2+ binding and nucleic acid metabolism
(Belenkiy et al., 2000 ; Palmieri et al.,
2001b ), suggesting that not all such N-terminal extensions need
be evidence of targeting or import functions at all.
Isolation of Mitochondrial Integral Membrane Proteins
To clarify which carrier proteins are targeted and accumulate in
plant mitochondria, and to possibly define an essential complement of
carriers that might be required for mitochondrial operation in plants,
we used a proteomic approach to determine which gene products are
detectable in purified Arabidopsis mitochondria. Previous attempts to
define the mitochondrial proteome in Arabidopsis by ourselves and
others (Kruft et al., 2001 ; Millar et al.,
2001 ) failed to identify any members of the carrier protein
family. This was most likely attributable to the hydrophobicity of
these carriers, which makes them intractable for isoelectric focusing (IEF)/SDS-PAGE-based separation. Here, we used a protocol developed for
microsomes that used a 100 mM
Na2CO3, pH 11.5, wash to
strip peripheral proteins from the membrane, leaving a subset of
integral membrane proteins (Fujiki et al., 1982a ,
1982b ). A complementary approach using
chloroform-methanol solubility for selective purification of integral
membrane proteins was recently published by Ferro et al.
(2000) . We decided to compare these two methods for the selective solubilization of plant mitochondrial carrier proteins.
Arabidopsis cell culture mitochondria were purified by two Percoll
gradients as outlined by Millar et al. (2001) . A
membrane fraction was isolated by repeated freeze thawing and
centrifugation. Integral membrane proteins were initially separated
from the bulk peripheral membrane protein by
Na2CO3 treatment.
Comparison of whole mitochondria, soluble matrix, membrane, and
integral membrane proteins by one-dimensional SDS-PAGE revealed that a
series of 30- to 38-kD protein bands were selectively retained (Fig.
3). Membrane fractions were also treated
with chloroform:methanol ratios of 8:1, 7:2, 2:1, 1:1, 1:2, 2:7, and
1:8 (v/v). Insoluble proteins were removed by centrifugation and
soluble proteins dried from the organic solvents by a stream of
N2 and then solubilized with SDS-based sample
buffer. The majority of proteins were found in the insoluble fractions.
There was little difference between the different ratios of organic
solvents used (data not shown). Figure 3 (lane 5) shows the protein
pattern from the 1:1 ratio of chloroform:methanol. There is
notably little retention of the 30- to 38-kD proteins, but some
selective solubilization of two proteins at 27 and 22 kD.

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Figure 3.
Arabidopsis mitochondrial proteins (20-40 kD)
following fractionation by membrane association and solubility.
Mitochondrial samples were fractionated into water-soluble matrix
proteins (matrix) and a membrane fraction (membrane). The membrane was
then further fractionated by removal of peripheral proteins using
Na2CO3 or solubilization in
1:1 methanol:chloroform (M/C soluble) to provide integral membrane
protein fractions. All samples were separated by SDS-PAGE and stained
with Coomassie G250.
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MS
The 38- to 28-kD proteins bands present in the
Na2CO3 stripped membrane
fraction were excised in approximately 1-kD steps from the
one-dimensional SDS-PAGE and labeled as bands 1 to 10, respectively
(Fig. 4). Putative carriers greater than
38 kD were consequently excluded from this analysis. We expected each
of these protein bands to contain a variety of mitochondrial proteins. Our previous experience with peptide mass fingerprinting MS in Arabidopsis (Millar et al., 2001 ) indicated that such
data would be difficult to decipher. We chose an alternative
MS/MS-based approach to identify individual tryptic peptides from each
protein band and matched these data back to the Arabidopsis databases to develop a picture of the proteins present in each band. Spectra of
trypsinated samples from each band were generated by electrospray ionization-TOF and a list of doubly charged peptide peaks
selected from each TOF spectra. MS/MS data was then obtained from these peptides by collision induced dissociation of selected peptides using
electrospray ionization-Q-TOF. A total of 189 peptides were characterized in this manner and used in searches of the
Arabidopsis-predicted proteome using BLAST with the de novo sequencing
data from MS/MS spectra at NCBI and direct searches using MS/MS
spectra at Mascot (Table II).

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Figure 4.
Ten protein bands (28-38 kD) from
Na2CO3-treated
mitochondrial membrane samples used for MS detection of carrier
proteins. Mitochondrial proteins were separated by SDS-PAGE and stained
with Coomassie G250. Visualized protein bands (1-10) were excised,
destained, and in-gel digested with trypsin to completion, and peptides
extracted and used for MS/MS analysis shown in Table II.
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Table II.
Identification of carrier proteins from MS/MS data
A total of 189 MS/MS spectra derived from 10 protein bands representing
28- to 38-kD mitochondrial membrane proteins were matched to the
Arabidopsis database using Mascot or derived amino acid sequence
compared via near exact match BLAST at NCBI. Total spectra derived from
each band (MS/MS spectra), the no. successfully matched to an
Arabidopsis gene (Match to At), and the no. matched to carrier family
proteins (Match carrier) are indicated. The predicted molecular mass
(MM) and hydrophobicity (GRAVY) of each identified carrier are noted.
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Identification of Arabidopsis Carrier Proteins
A total of nine peptides from spot 8 could be matched to two
related ANT gene products (At3g08580 and At5g13490); of these, five
were specific to At3g08580, one was specific to At5g13490, and two
peptides were found in both sequences. This provided clear evidence
that both of these gene products were present in mitochondria. Seven
unique peptides matched to a PiC gene product (At5g14040), four to the
DTC carrier (At5g19760), and five to a UCP (At3g54110). A total of five
unique peptides that matched a putative carrier protein (At4g01100),
were identified in spot 1 and 2 at 37 to 38 kD. The 27- and 22-kD
proteins solubilized by chloroform-methanol in Figure 3 were also
sequenced and found not to encode any carrier proteins (data not
shown). Comparison of apparent molecular mass and the predicted
molecular mass from the matched gene products revealed that UCP
(At3g54110), DTC (At5g19760), and At4g01100 were all within 1 to 2 kD
of predicted size of the precursor protein suggesting these proteins
contain no or a very small cleaved targeting presequences (Table II).
Only the UCP and DTC contain several amino acids before the first
transmembrane domain. Interestingly, At4g01100 contains 50 amino
acids at the N terminus but its apparent molecular mass clearly
indicates that this is unlikely to have been cleaved on import (Table
II). In contrast, both the ANTs and the PiC proteins found were 6 to 10 kD smaller than predicted. Both of these members of the carrier family
have been reported to contain extended N-terminal presequences in other
plant and mammalian species (Winning et al., 1992 ;
Zara et al., 1992 ; Laloi, 1999 ). Most of
the carrier proteins identified had positive grand average of
hydropathicity (GRAVY) scores indicating their hydrophobicity (Table
II). Very few proteins with positive GRAVY scores were identified in
our previous study of the Arabidopsis mitochondrial proteome
(Millar et al., 2001 ). This set of six identified
carrier proteins located in the mitochondrial membrane, set C, were all members of set B derived from representation in EST databases and, of
course, all members of set A derived from genome sequencing information.
During the sequencing of these carrier proteins, a variety of
other noncarrier mitochondrial proteins were identified; these included prohibitins (At1g03860, At5g40770, and At3g27280),
voltage-dependent anion carriers (At5g67500 and At3g01280), COXII
(NP085487), COX6b-1 (At4g28060), AOX1a (At3g22370), NADH-UQ
oxidoreductase (23 kD; At1g79010), translocase of the outer
membrane TOM40 (At3g20000), malate dehydrogenase (At3g15020), -ATP
synthase subunit (At2g33040), and FAD ATP synthase subunit
(At2g21870). These mainly known membrane, hydrophobic components
further confirm the carbonate extraction as a valuable purification
step and also provide direct evidence of the purity of the
mitochondrial membrane fractions used for the carrier analysis.
Link between Hydrophobicity and Identification
Hydrophobic proteins are rarely identified in proteomic analysis.
This is potentially attributable to a number of factors including their
insolubility in IEF experiments and the difficulty of extracting
hydrophobic peptides from gel matrices and ionizing them by
electrospray or laser desorption (Ferro et al., 2000 ; Molloy, 2000 ). Taking the carrier proteins as a model
set of proteins with a very similar six-transmembrane domain structure,
we investigated whether we could relate the positional information of
peptide matching to the location and relative hydrophobicities of the transmembrane segments in set C proteins. These identifications were
made from one-dimensional SDS-PAGE and therefore we could isolate the
effect of gel matrices and MS ionization from IEF-related protocols.
Figure 5 shows that peptide hits across
the six transmembrane structures of the carrier proteins were not
entirely random. There were no hits between amino acid positions
200 and 300, which correspond to the segments surrounding transmembrane
regions 4 and 5. We used a new hydrophobicity indicator based on an
experimentally determined whole-residue hydropathy scale (WW scale;
Jayasinghe et al., 2001 ), including a constraint for the
peptide backbone, to score the hydrophobicity of the six transmembrane
domains of set C proteins across a 19-amino acid window. The greater
the score, the greater the relative hydrophobicity. Where a peptide directly traversed this 19-amino acid window is shown in bold in Figure
5. Region 5 was consistently the most hydrophobic across the set C
protein sequences, and no peptides were identified that traversed this
region. Highly hydrophobic domains at position 4 were present in a
number of the proteins. Two peptides were identified that traversed
this domain, but these were from DTC and UCP where hydrophobicity of
domain 4 was unusually low. The highest hydrophobicity of a
transmembrane domain across which a peptide traversed was domain 6 of
PiC. This degree of hydrophobicity may represent an approximate upper
limit for extraction and ionization. Low hydrophobicity transmembrane
helices in the carrier family of yeast have been proposed to form the
transmembrane path in the transport of polar molecules (Belenkiy
et al., 2000 ). The diversity of position and the number of such
low hydrophobic transmembrane domains may be valuable in the future for
predicting targets for mutagenesis to identify transport function and
further classify functional groups within the carrier
superfamily.

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|
Figure 5.
Physical distribution of peptides matched by MS/MS
on the six-transmembrane domain structure of identified carrier
proteins. Number of peptides matching at each point of the 350 amino
acid sequences of all six carrier proteins are graphed. The
hydrophobicity of each transmembrane domain in each carrier protein was
calculated using the augmented Wimley-White (aWW) scale at
http://blanco.biomol.uci.edu/mpex. Where an identified peptide directly
bridges the putative transmembrane domain, the domain hydrophobicity is
shown in bold.
|
|
A Complex Gene Family with a Small Number of Abundant
Members
Understanding the complexity from genome sequencing and then
assessing the dominant, active members of gene families for directed study is a vital activity in post-genomics research. At first glance,
the array of 45 mitochondrial carrier genes identified by Arabidopsis
genome sequencing suggested a very complex set of functions, many of
which were unknown based on annotation. However, further analysis of
the expression of this gene family through EST databases, microarrays,
and proteomic approaches, coupled with ortholog/paralog studies of
similarity, indicates that a small subset of these genes predominate.
Of set B, a collection of nine genes that were highlighted by EST
analysis, seven were present in microarray databases and another six
were clearly identified by MS (set C). The putative carrier At4g01100,
of unknown function, is an immediate target for future work. We show
here that this carrier, which has a yeast ortholog also of unknown
function, is induced by stress conditions, suppressed by plant
hormones, and is present in the inner mitochondrial membrane. It should be noted that this investigation was limited to carriers expressed under cell culture conditions and further members may be present in
whole plants. The systematic analysis that reduced the diversity of set
A to a manageable experimental set of abundant proteins provides the
basis for future analysis of knock-out and knock-down Arabidopsis lines.
 |
MATERIALS AND METHODS |
Gene Identification, Sequence Alignments, Hydropathy Plots, and
Paralog/Ortholog Analysis
Putative carrier proteins were initially identified by searches
for Prosite Motif (PDOC00189) at the MIPS Annotated Arabidopsis Database (http://mips.gsf.de/). Unrooted similarity trees were made
using ClustalX (Thompson et al., 1997 ) and PHYLIP
program (Phylogeny Inference Package, v3.5c, Department of Genetics,
University of Washington, Seattle; Felsenstein, 1989 ).
Orthologs between yeast and Arabidopsis carrier sequences and
in-paralogs within the sequences from each species were determined
using the fully automated INPARANOID program that bypasses error-prone
multisequence alignment and phylogenetic roots to ortholog assignment
by using two-way best pair wise matches for clustering (Remm et
al., 2001 ). Transmembrane domains were identified in carrier
proteins using sliding window hydrophobicity analysis (19 amino acid)
with the augmented Wimley-White scale at
http://blanco.biomol.uci.edu/mpex; for consistent identification of the
six transmembrane regions, CONH was set to 0.15. The hydrophobicity
values presented in Figure 5 were obtained using CONH = 0.15.
Microarray and EST Data
Estimates of the number of ESTs representing each carrier gene
were made using TC sequence coverage at TIGR Gene Index for Arabidopsis
v9.0, release date September 19, 2002 (http://www.tigr.org/tdb/tgi.shtml). Carrier sequences were aligned to
a TC using BLAST. The Stanford Microarray database was analyzed using
the advanced search function to identify clone numbers for the carrier
gene family and then selecting and reporting on spot intensities in
Arabidopsis microarray comparisons based on tissue-specific expression,
hormone treatments, and stress response
(http://genome-www5.stanford.edu/cgi-bin/SMD/mad.pl). Intensities were
reported as red (induced) or green (suppressed) compared with control
samples. Averaged differences were subjected to log2
transformation, processed data was subjected to a self-organizing map
algorithm followed by complete linkage hierarchical clustering of both
genes and experiments using Pearson correlation (non-centered) through
Cluster/Treeview (Eisen et al., 1998 ).
Targeting Programs
Subcellular targeting of predicted protein sequences were
performed with TargetP (http://www.cbs.dtu.dk/services/TargetP/) as
directed by (Emanuelsson et al., 2000 ) and by Predotar
(http://www.inra.fr/Internet/Produits/Predotar/) as directed on this
Web site.
Arabidopsis Mitochondria Protein: Isolation, Fractionation, and
Electrophoresis
Mitochondria were isolated from dark-grown Arabidopsis cell
suspension cultures according to Millar et al. (2001)
using Percoll density gradient centrifugation. Subfractionation of
mitochondria was done as follows. Mitochondria were resuspended to a
final protein concentration of 2 mg mL 1 in 10 mM TES-KOH (pH 7.5), freeze-thawed in liquid N2
three times, and the suspension was centrifuged for 10 min at
18,000g, yielding a supernatant containing soluble
proteins and a pellet containing membrane associated and integral
membrane proteins. The pellet was resuspended in 100 mM
NaCO3 (pH 11.5) and then centrifuged for 10 min at
18,000g, yielding a supernatant containing membrane associated proteins and a pellet containing integral membrane proteins.
One-dimensional SDS-PAGE was performed according to standard protocols
using 14% polyacrylamide gels and a Tris-Gly buffer system.
Quadrupole Time-of-Flight (Q-TOF) MS and Data Analysis
Q-TOF MS/MS was performed on a Q-TOF MS (Q-STAR Pulsar, Applied
Biosystems, Foster City, CA) using an IonSpray source. Proteins to be
analyzed were cut from the one-dimensional PAGE gel and digested with
trypsin according to Millar et al. (2001) , injected in
50% methanol, 0.1% formic acid, selected doubly charged peptides fragmented by N2 collision, and analyzed by MS/MS. Mass
spectra and collision MS/MS data were analyzed with Analyst QS software (Applied Biosystems). Masses of collision-induced ion fragments were
searched against the equivalent theoretical masses derived from the
NCBI protein database using Mascot
(http://www.matrixscience.com) or used for prediction of amino acid
sequence with BioAnalyst and subjected to near exact match BLASTP
analysis at http://www.ncbi.nlm.nih.gov/BLAST/.
 |
ACKNOWLEDGMENTS |
We acknowledge the critical reading and helpful comments on this
manuscript by Prof. David Day and Dr. Jim Whelan.
 |
FOOTNOTES |
Received June 12, 2002; returned for revision July 31, 2002; accepted November 3, 2002.
1
This work was supported by the Australian
Research Council Discovery Program (grants to A.H.M., D. Day, and J. Whelan). A.H.M. was supported by an Australian Research Council Queen
Elizabeth II fellowship.
*
Corresponding author; e-mail hmillar{at}cyllene.uwa.edu.au; fax
61-8-9280-1148.
Article, publication date, and citation information can be found at
www.plantphysiol.org/cgi/doi/10.1104/pp.009985.
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