|
Plant Physiol, March 2001, Vol. 125, pp. 1228-1235
Mapping Maize Sequences to Chromosomes Using Oat-Maize Chromosome
Addition Materials1,[w]
Ron J.
Okagaki,*
Ralf G.
Kynast,
Suzanne M.
Livingston,
Charles D.
Russell,
Howard W.
Rines, and
Ronald L.
Phillips
Department of Agronomy and Plant Genetics (R.J.O., R.G.K., S.M.L.,
C.D.R., H.W.R., R.L.P.), Plant Molecular Genetics Institute (R.J.O.,
R.G.K., S.M.L., C.D.R., R.L.P.), and Plant Sciences Research Unit,
United States Department of Agriculture, Agricultural Research Service,
and Department of Agronomy and Plant Genetics (H.W.R.), University of
Minnesota, St. Paul, Minnesota 55108
 |
ABSTRACT |
Oat- (Avena sativa) maize (Zea mays)
chromosome additions are produced by crossing maize and oat. During
early embryo development maize chromosomes are preferentially
eliminated, and oat plants are often recovered that retain a single
maize chromosome. Each of the 10 maize chromosomes recently has been
isolated as a separate oat-maize addition. We describe here the mapping
of 400 maize sequences to chromosomes using polymerase chain reaction
and DNA from the oat-maize addition material. Fifty of the sequences
were from cloned markers that had been previously mapped by linkage analysis, and our results were consistent with those obtained using
Southern-blot analysis. Previously unmapped expressed sequence tags and
sequence tagged sites (350) were mapped to chromosomes. Maize gene
sequences and expression data are rapidly being accumulated. Coupling
this information with positional information from high throughput
mapping programs provides plant biologists powerful tools for
identifying candidate genes of interest.
 |
INTRODUCTION |
Two types of information
traditionally have been used to describe genes: positional and
phenotypic. Positional information, provided by mapping genes, has held
an important place in maize (Zea mays) research since the
late 1920s (Emerson et al., 1935 ). The location of a gene along with
its phenotype remains an important part of the description of a gene
(Freeling and Fowler, 1994 ). Over the years many tools have been
developed to increase the efficiency of mapping. Standard marked
chromosome lines, B-A translocation lines, and marked reciprocal
translocation lines have been widely used (Coe et al., 1988 ). The first
molecular map in maize, published in 1986, contained 116 markers
(Helentjaris et al., 1986 ). Introduction of recombinant inbred lines
made a dramatic improvement in the efficiency of mapping (Burr et al.,
1988 ). A recent map based on immortalized F2
lines has more than 1,700 morphological mutants, isozymes, and cloned
sequences (Davis et al., 1999 ).
The advent of molecular biology has increased the importance of
mapping. Positional information now has new uses. Mapping is necessary
for chromosome walking, which is being used to clone genes in higher
plants (Sakai et al., 1995 ; Frary et al., 2000 ). Comparative mapping
studies have revealed syntenic relationships between chromosomes
across species, genera, and families (Ahn and Tanksley, 1993 ; Gale and
Devos, 1998 ). Coincident with the development of new uses for
positional information has been an explosion in the number of genes and
sequences that are available to be mapped. There are more than 70,000 maize expressed sequence tag (EST) sequences in public databases.
EST studies provide much of the information used to describe genes. The
sequence of an EST often gives a strong indication of function.
Transcript abundance and tissue specificity may also be predicted from
EST data (Okubo et al., 1992 ; Ewing et al., 1999 ). Positional
information, traditionally part of a gene's description, cannot be
gleaned from ESTs. Mapping can help determine if two ESTs with similar
sequences represent different alleles of one locus or two separate
loci. Sequences with a predicted function may be associated with known
mutations or quantitative trait loci by their physical location.
However, coping with the number of sequences available is increasingly
difficult with current mapping technologies.
Standard approaches for mapping sequences in maize require markers that
are polymorphic between the parents used to create the mapping
population. Sequences may be mapped with this material using RFLPs or
simple sequence repeat polymorphisms, if they are available. This is an
effective means of mapping, but it becomes unwieldy for locating large
numbers of sequences. Southern-blot analysis is time consuming, and not
all sequences contain useful simple sequence repeats. Single nucleotide
polymorphisms have been suggested for mapping human sequences
(Kruglyak, 1997 ; Wang et al., 1998 ), and there are several technologies
available for high throughput analysis (Chee et al., 1996 ; Hall et al.,
2000 ). It is unfortunate that a public sequence database adequate to identify large numbers of maize single nucleotide polymorphisms is not
yet available.
An alternative approach for mapping sequences relies on the recently
developed oat-maize chromosome addition lines. Oat- (Avena sativa) maize additions (OMAs) carry one or more maize chromosomes in an oat genomic background. During early embryo development from
crosses of hexaploid oat with maize, most or all of the maize chromosomes are eliminated, and developing embryos can be rescued by in
vitro culture. Oat plants carrying one or more maize chromosomes are
then identified and characterized (Riera-Lizarazu et al., 1996 ). A
complete panel of additions has now been developed, each addition
carrying one of the 10 maize chromosomes. Fertile plants from eight of
the 10 chromosome additions have been used to establish lines; plants
carrying the remaining two chromosomes are maintained clonally (Kynast
et al., 2001 ). Maize sequences can be detected in OMA material with PCR
assays. Our objectives for this study were to evaluate the use of this
material for mapping maize sequences to chromosomes and to compare the
results from high throughput PCR assays with traditional Southern-blot assays.
 |
RESULTS AND DISCUSSION |
Comparing OMA Mapping with RFLP Mapping
RFLP mapping relies on Southern-blot hybridization to detect
sequences in a segregating population. Many RFLP markers detect more
than one band on a Southern blot and bands may differ in hybridization
intensity. These bands reflect the duplicated nature of the maize
genome and/or the presence of small gene families. When multiple loci
are detected by a single probe, the loci are designated with lowercase
letters (a, b, c, etc.) with "a" generally indicating the
polymorphic locus corresponding to the band with the strongest
hybridization intensity, "b" corresponding to the next strongest,
and so on. Even weakly hybridizing bands can be mapped if they are
polymorphic in the mapping population. Conversely strongly hybridizing
bands cannot be mapped if they are not polymorphic in the mapping
population. In sequencing a RFLP probe that detects multiple loci, it
may not be possible to know exactly which locus the sequenced gene represents.
OMA mapping uses PCR, or other methods when appropriate, to detect a
sequence in a panel of 10 OMA lines where each addition line carries
one of the 10 maize chromosomes. Mapping relies on a plus/minus PCR
assay; it is not dependent on the segregation of polymorphic markers. A
group of 50 previously mapped RFLP probes were remapped to evaluate the
effectiveness of using OMA lines for mapping (Fig.
1). PCR primers were designed for these
sequences, and tested using maize Seneca 60 DNA, oat Starter-1 DNA, and
no template DNA under standard conditions. Primer pairs were discarded that did not efficiently amplify Seneca 60 DNA. Primer pairs that amplified oat sequences were also discarded unless the amplified fragment was a different size than the maize product or amplification of oat sequences was weak and inconsistent. Approximately one-third of
the primer pairs met these criteria under our standard conditions. When
a pair of primers did not work, either new primers were designed for
that sequence or primers were designed for a different sequence.

View larger version (57K):
[in this window]
[in a new window]
|
Figure 1.
Remapping markers using OMA materials. Markers
were remapped using PCR assays with OMA material. Bin map locations for
each marker are given along with the map locations of duplicated
sequences. Map locations are from Davis et al. (1999) . Markers mapping
to more than one location are given letters to distinguish loci and to
indicate the strength of hybridization with the cloned probe.
csu63a is located on chromosome 1 in bin 11. csu63b is located on chromosome 4 in bin 3; the band on a
Southern blot corresponding to csu63b has a weaker signal
than the band corresponding to csu63a. Markers in boldface
print are discussed in the text.
|
|
Using OMA mapping, 25 of the 50 markers were fully consistent with
results from previous RFLP mapping (Davis et al., 1999 ). OMA mapping
detected the same number of loci on the same chromosomes as predicted
by Southern-blot analysis. Twenty-two of these markers mapped to a
single chromosome, and three were present on two chromosomes. Examples
are shown in Figure 2, A and B. Marker
p-csu1140 was mapped onto chromosome 7 by Southern-blot analysis, and
PCR detected this sequence only on the chromosome 7 addition line (Fig.
2A). Similarly, Southern-blot analysis and OMA mapping placed
p-csu807 on chromosomes 6 and 8 (Fig. 2B). It should be
noted that OMA mapping places sequences onto chromosomes. Therefore, it
is not necessarily true that the locus of the sequence mapped to a
chromosome by OMA mapping using PCR is the locus mapped by
Southern-blot analysis. In addition, OMA mapping did not determine how
many copies of a sequence are present on a chromosome. Results from the
remaining 25 markers fell into three classes.

View larger version (82K):
[in this window]
[in a new window]
|
Figure 2.
Mapping sequences to chromosome. A,
csu1140 mapped to chromosome 7. B, csu807 Mapped
to chromosomes 6 and 8. A weak product in one of the oat controls was
not detected in OMA materials. Weak and inconsistent amplification of
oat sequences is a problem with OMA mapping. C, csu922
Mapped to chromosomes 3 and 8. Previous work had mapped this sequence
to chromosome 8. PCR assays detected a previously unmapped duplication.
A sequence in oats that gave a smaller PCR product was also seen. A
false positive is visible in one of the two reactions from the
chromosome 2 addition line. D, csu685 Mapped to chromosome
3. A larger oat sequence was also amplified; this product was seen in
oat control lanes and OMA lanes. The smaller maize product was seen
with the chromosome 3 OMA line. Faint bands associated with chromosomes
2 and 4 were not reproducible. E, mmpE0577 Mapped to
chromosome 8. F, MmpE0630 mapped to chromosomes 6 and
9.
|
|
The first class consisted of 20 markers where Southern-blot analysis
and OMA mapping were partially consistent. These markers mapped to two
or more loci by Southern-blot analysis. OMA mapping detected the marker
on at least one of the predicted chromosomes. In 19 of the 20 cases,
the chromosomes detected by OMA mapping included the major locus,
indicated by "a" on the RFLP map. For example, p-csu63 maps by
Southern-blot analysis to chromosome 1 (csu63a) and
chromosome 4 (csu63b); the locus mapped using OMA lines was
on chromosome 1. The remaining marker, p-csu597, was mapped to five
loci by Southern-blot analysis. The major locus, csu597a, is
located on chromosome 4, but OMA mapping placed this marker on
chromosome 7, coincident with csu597c. The fragment amplified by PCR from the chromosome 7 addition line was cloned and
sequenced. Figure 3 summarizes the
sequence comparison between the cloned PCR fragment from chromosome 7 and the published sequence; in the sequenced region 196 out of 199 bp
were identical.

View larger version (43K):
[in this window]
[in a new window]
|
Figure 3.
Sequence comparisons of markers mapping to
unexpected chromosomes. Comparisons between sequences amplified from
OMA material and sequences reported in GenBank indicate that the
amplified sequences originated from a duplicate locus. Sequences from
csu48 and csu800 were each interrupted by an
intron, and csu922 was interrupted by two introns. Primer
sequences were not included in the comparisons.
|
|
A second class was composed of four markers, all of which had been
mapped to a single locus by Southern-blot analysis. OMA mapping
detected the predicted chromosome, but also detected a second
chromosome. By Southern-blot analysis, p-csu922 maps to chromosome 8. OMA mapping detected the sequence on chromosome 8 and
also chromosome 3 (Fig. 2C). The PCR products from three of the four
markers in this group were cloned and sequenced. Sequence identities
were 95% or greater between the published sequences for p-csu48,
p-csu800, and p-csu922 and sequences from the cloned PCR products (Fig.
3). The inability of Southern-blot analysis to map these loci seems
more likely due to a lack of polymorphisms rather than the inability to
detect these loci, as sequence comparisons of the cases examined
determined that the PCR products had derived from a related sequence.
However, the region amplified by PCR corresponded to only a small part
of the cloned probe. Whether or not other portions of the probe were
also conserved has not been determined.
The third class consisted of one marker, p-csu685, which maps on
chromosome 8 by Southern-blot analysis. OMA mapping did not detect this
sequence on chromosome 8 but instead detected a sequence on chromosome
3 (Fig. 2D). Cloning and sequencing the chromosome 3 PCR product
revealed that the PCR fragment has two small insertions of 3 and 9 bp
and six single-base pair mis-matches (Fig. 3) relative to the published
p-csu685 sequence.
Reliance on PCR assays for detection of sequences instead of
Southern-blot hybridizations offers significant increases in productivity. Reliance on PCR assays also has disadvantages, some of
which are apparent in Figure 2. False positives can be seen in one of
the two PCR reactions in the chromosome 3 OMA with p-csu922 (Fig. 2C)
and in the chromosome 2 and chromosome 4 OMAs with p-csu685 (Fig. 2D).
False negatives have also been observed (data not shown). Oat sequences
may be amplified in the PCR reactions. In Figure 2B there is a faint
band in one of the two oat DNA controls. Performing duplicate PCR
reactions allows one to repeat questionable PCR reactions. However,
random chance dictates that some markers will be misplaced on the map.
Nevertheless, 48 of the 50 markers tested mapped to the major
chromosomal location predicted by RFLP mapping arguing that OMA mapping
is an accurate means of rapidly mapping sequences to chromosome.
Mapping EST and Sequence Tagged Sites Sequences to
Chromosome
Simplicity is a major advantage of mapping sequences using
OMA lines. In the future, many of the steps now done by hand will be
automated, and with these technologies it is feasible to map the
large numbers of sequences available.
Three hundred EST sequences and 50 sequence tagged sites (STS)
sequences were mapped to chromosomes. Figure 2E illustrates the mapping
of the EST mmpE0577 (GenBank accession no. AI783424) mapped
to chromosome 8. Approximately 75% of the sequences mapped to a single
chromosome. Twenty percent of the sequences mapped to two chromosomes;
EST mmpE0630 (GenBank accession no. AI941963) mapped to
chromosomes 6 and 9 (Fig. 2F). The remaining sequences mapped to
between 3 to 9 chromosomes. The percentage of duplicated markers varied
among chromosomes. Approximately two-thirds of the markers present on
chromosomes 4, 5, and 6 were classified as duplicated. One-third of the
markers on chromosomes 1, 2, 3, 7, or 9 were duplicated elsewhere in
the genome. Chromosomes 8 and 10 were intermediate with 50% of their
markers present on another chromosome (Fig.
4). Detailed summaries of the data, along with primer sequences, are available in the online manuscript at the
Plant Physiology website (http://www.plantphysiol.org/) and
at the University of Minnesota plant genome research website (http://www.agro.agri.umn.edu/rp/genome/).

View larger version (24K):
[in this window]
[in a new window]
|
Figure 4.
Summary of mapping EST and STS
sequences. Results from mapping 300 EST and 50 STS markers are
tabulated. The column of numbers at the far right of the figure give
the total number of markers mapped to each chromosome, whereas
the numbers on the diagonal gives the number of unique markers mapped
to each chromosome. For example, a total of 72 markers were mapped to
chromosome 1; of these markers 48 of them were only present on
chromosome 1. The number of markers that mapped to each pair of
chromosomes is also shown. Chromosome pair 4 and 5 had 18 markers in
common. The row and columns do not sum up to the chromosome totals
because duplicated sequences are counted more than once. Data from five
sequences are not included; each was found on five or more
chromosomes.
|
|
Detection of Duplicated Sequences
Remapping the 50 markers previously mapped by Southern-blot
analysis provides a direct measure of the ability of PCR to detect duplicated sequences. Twenty-three of the 50 markers were identified as
duplicated using Southern-blot analysis (Davis et al., 1999 ); 10 markers were classified as duplicate using PCR assays with OMA
material. Southern-blot hybridization mapped 89 loci with the 50 markers. PCR assays mapped 60 loci with the 50 markers; this assumes
that each chromosomal assignment made by PCR represents one locus. The
60 chromosomal assignments may reflect more than 60 loci as duplicated
sequences may be on the same chromosome. However, this is un-likely as
only two markers, p-csu728 and p-csu597, had been mapped to two loci on
one chromosome. Some duplicated sequences identified by PCR had not
been classified as duplicated by Southern-blot analysis, but overall
fewer sequences were classified as duplicated by PCR assays (Fig. 1).
Both PCR assays and Southern-blot assays can underestimate the amount
of duplication in the maize genome.
PCR conditions may account for the inability of PCR assays to detect
more duplicated sequences. The touchdown PCR program used was designed
to allow primer sets with a wide range of annealing temperatures to
work (Chin et al., 1996 ). Reducing the stringency of the amplification
cycle may permit the detection of more duplicated sequences. However,
reaction conditions must be balanced between having too few primers
work satisfactorily and the problem of amplifying oat sequences.
Reduced stringency may allow oat sequences to be amplified. Increasing
stringency can reduce the number of primer sets that amplify oat
sequences, but fewer maize sequences might amplify. An added
complication arises from the sequence polymorphism present in maize.
The maize inbred line B73 was the source of many of the sequences used,
and some primers amplified products from B73 but not from Seneca 60 (data not shown), the maize donor for the OMA lines. Furthermore,
Seneca 60 is a hybrid; several primers that amplified Seneca 60 genomic
DNA did not amplify the allele present in the OMA mapping panel (data
not shown). Different PCR cycling conditions are being tested in an
attempt to optimize these tradeoffs.
Of 300 EST and 50 STS sequences tested, 91 were classified as
duplicated. There are 45 possible pairwise combinations of 10 chromosomes; duplications were detected involving 33 of the
combinations (Fig. 4). Duplications were particularly evident between
specific chromosome pairs. Eighteen markers were in common between
chromosomes 4 and 5; 14 markers were in common between chromosomes 6 and 8. Fourteen markers were also in common between chromosomes 5 and 10. Evidence for duplications in the maize genome was found here even
though PCR did not detect as many duplicated sequences as Southern-blot analysis.
Earlier studies based largely on Southern-blot analysis found evidence
for extensive duplication between segments of maize chromosomes
(Helentjaris et al., 1988 ; Ahn and Tanksley, 1993 ; Gale and Devos,
1998 ; Wilson et al., 1999 ). These studies have provided evidence for
duplicated segments on chromosomes 4 and 5 and on chromosomes 6 and 8 (Gale and Devos, 1998 ; Wilson et al., 1999 ). Chromosomes 5 and 10, however, were not reported to share duplicated segments (Gale and
Devos, 1998 ; Wilson et al., 1999 ). It is possible that the 14 markers
found to be shared between chromosomes 5 and 10 here are, in fact,
scattered about the chromosome as the order of markers along a
chromosome cannot be determined by OMA mapping. OMA mapping provides a
means to increase the number of markers mapped to chromosome, and the
OMA lines provides a means of recovering duplicated sequences from
specific chromosomes for further analysis.
Future Directions
OMA materials are appropriate for mapping sequences to
chromosomes, but this approach cannot order sequences along a
chromosome. For certain purposes this is sufficient. Some duplicated
genes will be identified. Individual members of multigene families may be mapped and cloned, and polymorphisms specific to each member can be
identified. For other purposes, better positional information is
required. One means of achieving this is through radiation hybrid maps
(Cox et al., 1990 ). Seed of addition lines monosomic for a single maize
chromosome have been irradiated. The radiation treatment breaks
chromosomes resulting in the apparently random loss of sequences
(whether oat or corn). The hexaploid oat background of the addition
lines tolerates the loss of sequences, facilitating the
development of a set of radiation hybrid lines carrying a portion of a
maize chromosome (Riera-Lizarazu et al., 2000 ). The position of a maize
sequence on a chromosome is deduced from the presence versus absence of
that sequence in the different radiation hybrid lines. Radiation hybrid
mapping has the dual advantage of allowing high-throughput applications
and having high resolution. The human radiation hybrid map contains
over 30,000 markers (Deloukas et al., 1998 ). We are pursuing a
two-track strategy for developing maize radiation hybrid mapping.
Low-resolution maps will use a few well-characterized lines; these
lines will be used to map large numbers of sequences to large regions
on a chromosome. Several lines that may prove useful have been
recovered from chromosome 9. For example, lines M9RH035 and M9RH0872
carry the distal ends of maize chromosome 9S and 9L, respectively
(Riera-Lizarazu et al., 2000 ). High-resolution radiation hybrid maps
will use larger numbers of lines to achieve increased resolution.
Sequences of particular interest can be mapped to very small regions,
perhaps one to two megabases. These positional data combined with
expression data from EST studies and other sources will provide
researchers with a valuable tool for associating sequences with
phenotypes and identifying important genes.
 |
MATERIALS AND METHODS |
Plant Materials
Detailed procedures for the production of OMA plants, the
establishment of fertile OMA lines, and their characterization were described by Riera-Lizarazu et al. (1996) and Kynast et al. (2001) . OMA
lines used in this study were monosomic (OMAm) or disomic (OMAd) for
the maize chromosome (Table I). The first
number following OMAm or OMAd indicates which maize (Zea
mays) chromosome is carried, and the second number traces the
chromosome back to the ancestral oat- (Avena sativa) maize
F1 plant. Thus OMAm1.1 is monosomic for maize chromosome 1, and it originated from the first OMA plant carrying maize chromosome 1. Leaf tissue was harvested from OMA lines along with tissue from
the Seneca 60 maize parent and the Starter-1 oat parent for most of the
OMA lines. DNA was isolated using a cetyl-trimethyl-ammonium
bromide (CTAB) procedure (Saghai-Maroof et al., 1984 ), and the
concentration was determined using PicoGreen according to the
supplier's directions (Molecular Probes, Eugene, OR).
PCR Assays for Detecting Maize Sequences in OMA Material
PCR assays were used to detect maize sequences in OMA
material. Three groups of sequences were tested. First, 50 probes that had been mapped previously by Southern-blot hybridization were tested
(Davis et al., 1999 ). These probes have been sequenced and mapped to
chromosomes (Fig. 1). Remapping these probes provided a comparison
between Southern blot and PCR assays. Second, 50 maize genomic
sequences were mapped. These STSs originated from the hypomethylated
fraction of the maize genome that is believed to be enriched for genes
(Rabinowicz et al., 1999 ). Third, 300 EST sequences from the maize
database, ZmDB, were mapped (Gai et al., 2000 ).
PCR primers were designed using the program Primer 3 (Rozen and
Skaletsky, 1998 ). Default values in the primer design program were used
with the following exceptions: the optimum product size was set to 250 nucleotides (nts), the optimum primer size was 23 nts, maximum
self-complementarity value was 5.00, and maximum 3'-self-complementarity value was 2.00. Oligonucleotide primers were
ordered either from Integrated DNA Technologies (Coralville, IA) or
from MWG-Biotech (High Point, NC).
The standard PCR reaction used for this work contained 1× PCR buffer
supplied with the Taq polymerase, 1.67 mM of
each dNTP, 0.5 µM forward oligonucleotide primer, 0.5 µM reverse oligonucleotide primer, approximately 100 ng
of genomic DNA, and 0.15 units of enzyme in a 15-µL reaction.
HotStarTaq from Qiagen USA (Valencia, CA) was used. Cycling conditions
were based on a touchdown program previously described for use with
maize (Chin et al., 1996 ). A 15-min incubation at 95°C activated the
modified Taq polymerase. This was followed by two cycles
of 94°C for 1 min, 65°C for 1 min, and 72°C for 1 min. Nine
cycles followed in which the annealing temperature was reduced from
64°C to 56°C in 1-degree increments; other conditions
remained the same. This was followed by 29 cycles of 94°C for 1 min, 55°C for 1 min, and 72°C for 1 min. After the last cycle, a
1-min incubation at 72°C was added in some cases. Samples were
duplicated and were retested if there was a discrepancy between the
duplicates. After amplification, the entire PCR reaction was
fractionated on an agarose gel. One percent agarose gels were run in
Tris-borate EDTA buffer unless higher percentage agarose gels were
required to resolve products. Sets of reactions also included an oat
Starter-1 DNA control, a maize Seneca 60 DNA control, and TE (10 mM Tris, pH 8.0, 1 mM EDTA) for a "no DNA" control.
A few PCR products were cloned and sequenced for further study.
Products from three standard reactions were pooled, ethanol precipitated, and resuspended in 10 µL of TE. One microliter of the
resuspended PCR product was ligated into the vector pGEM-T Easy
(Promega, Madison, WI) according to manufacturer's directions, and a
portion of the ligation reaction was used to transform frozen competent
DH5 cells (Life Technologies, Rockville, MD). Transformed cells were
plated on selective media and incubated overnight. Colonies were
inoculated into Luria-Bertani media containing ampicillin and grown
overnight. Plasmid DNA was isolated using Wizard DNA miniprep kits from
Promega. Plasmid templates were sequenced using m13-forward or
m13-reverse sequencing primers by the University of Minnesota Advanced
Genetic Analysis Center.
 |
ACKNOWLEDGMENTS |
We thank Rex Bernardo and Paula Olhoft for critically
reading this manuscript, Adrian Stec and Tera Secker for technical
help, and suggestions from two reviewers, which improved the manuscript.
 |
FOOTNOTES |
Received November 21, 2000; accepted December 16, 2000.
1
This work was supported by the National Science
Foundation (grant no. 9872650).
[w]
The online version of this article contains Web-only
data. The supplemental material is available at www.plantphysiol.org.
*
Corresponding author; e-mail okaga002{at}tc.umn.edu; fax
612-625-1268.
 |
LITERATURE CITED |
-
Ahn SN, Tanksley SD
(1993)
Comparative linkage maps of the rice and maize genomes.
Proc Natl Acad Sci USA
90: 7980-7984
[Abstract/Free Full Text]
-
Burr B, Burr FA, Thompson KH, Albertsen MC, Stuber CW
(1988)
Gene mapping with recombinant inbreds in maize.
Genetics
118: 519-526
[Abstract/Free Full Text]
-
Chee M, Yang R, Hubbell E, Berno A, Huang XC, Stern D, Winkler J, Lockhart DJ, Morris MS, Fodor SP
(1996)
Accessing genetic information with high-density DNA arrays.
Science
274: 610-614
[Abstract/Free Full Text]
-
Chin ECL, Senior ML, Shu H, Smith JSC
(1996)
Maize simple repetitive DNA sequences: abundance and allele variation.
Genome
39: 866-873
[Medline]
-
Coe EH, Hoisington DA, Neuffer MG
(1988)
The genetics of corn.
In
GF Sprague, JW Dudley, eds, Corn and Corn Improvement. American Society of Agron, Madison, WI, pp 81-259
-
Cox DR, Burmeister M, Price ER, Kim S, Myers RM
(1990)
Radiation hybrid mapping: a somatic cell genetic method for constructing high-resolution maps of mammalian chromosomes.
Science
250: 245-250
[Abstract/Free Full Text]
-
Davis GL, McMullen MD, Baysdorf C, Musket T, Grant D, Staebell M, Xua G, Polacco M, Kosterd L, Melia-Hancock S
(1999)
A maize map standard with sequenced core markers, grass genome reference points and 932 expressed sequence tagged sites (ESTs) in a 1736-locus map.
Genetics
152: 1137-1172
[Abstract/Free Full Text]
-
Deloukas P, Shuler GD, Gyapay G, Beasley EM, Soderlund C, Rodriguez-Tome P, Hui L, Matise TC, McKusick KB, Beckmann JS
(1998)
A physical map of 30,000 human genes.
Science
282: 744-746
[Abstract/Free Full Text]
-
Emerson RA, Beadle GW, Fraser AC (1935) A summary of linkage
studies in maize. Cornell Univ Agric Exp Sta Memoir 180
-
Ewing RM, Kahla AB, Poirot O, Lopez F, Audic S, Claverie JM
(1999)
Large-scale statistical analysis of rice ESTs reveal correlated patterns of gene expression.
Genome Res
9: 950-959
[Abstract/Free Full Text]
-
Frary A, Nesbitt TC, Frary A, Grandillo E, van der Knaap E, Cong B, Liu J, Meller J, Elber R, Alpert KB
(2000)
fw2.2: a quantitative trait locus key to the evolution of tomato fruit size.
Science
289: 85-88
[Abstract/Free Full Text]
-
Freeling M, Fowler J
(1994)
A nine-step way to characterize a morphological mutant.
In
M Freeling, V Walbot, eds, The Maize Handbook. Springer-Verlag, New York, pp 209-211
-
Gai X, Lai S, Xing L, Brendel V, Walbot V
(2000)
Gene discovery using the maize genome database ZmDB.
Nucleic Acids Res
28: 94-96
[Abstract/Free Full Text]
-
Gale MD, Devos KM
(1998)
Comparative genetics in the grasses.
Proc Natl Acad Sci USA
95: 1971-1974
[Abstract/Free Full Text]
-
Hall JG, Eis PS, Law SM, Reynaldo LP, J. R Prudent JR, Marshall DJ, Allawi HT, Mast AL, Dahlberg JE, Kwiatkowski RW
(2000)
Sensitive detection of DNA polymorphisms by the serial invasive signal amplification reaction.
Proc Natl Acad Sci USA
97: 8272-8277
[Abstract/Free Full Text]
-
Helentjaris T, Slocum M, Wright S, Schaeffer A, Nienhuis J
(1986)
Construction of genetic linkage maps in maize and tomato using restriction fragment length polymorphisms.
Theor Appl Genet
72: 761-769
-
Helentjaris T, Weber D, Wright S
(1988)
Identification of the genomic locations of duplicate nucleotide sequences in maize by analysis of restriction fragment length polymorphisms.
Genetics
118: 353-363
[Abstract/Free Full Text]
-
Kruglyak L
(1997)
The use of a genetic map of biallelic markers in linkage studies.
Nat Genet
17: 21-24
[CrossRef][ISI][Medline]
-
Kynast RG, Riera-Lizarazu O, Vales MI, Okagaki RJ, Maquieira S, Chen G, Ananiev EV, Odland WE, Russell CD, Stec AO
(2001)
A complete set of maize individual chromosome additions to the oat genome.
Plant Physiol
125: 1216-1227
[Abstract/Free Full Text]
-
Maquieira S
(1997)
Production and characterization of plants from oat × maize and oat × pearl millet. MS thesis. University of Minnesota, St. Paul, MN
-
Okubo K, Hori N, Matoba R, Niiyama T, Fukushima A, Kojima Y, Matsubara K
(1992)
Large scale cDNA sequencing for analysis of quantitative and qualitative aspects of gene expression.
Nat Genet
2: 173-179
[CrossRef][ISI][Medline]
-
Rabinowicz PD, Schutz K, Dedhia N, Yordan C, Parnell LD, Stein L, McCombie WR, Martienssen RA
(1999)
Differential methylation of genes and retrotransposons facilitates shotgun sequencing of the maize genome.
Nat Genet
23: 305-308
[CrossRef][ISI][Medline]
-
Riera-Lizarazu O, Rines HW, Phillips RL
(1996)
Cytological and molecular characterization of oat × maize partial hybrids.
Theor Appl Genet
93: 123-135
[CrossRef]
-
Riera-Lizarazu O, Vales MI, Ananiev EV, Rines HW, Phillips RL
(2000)
Production and characterization of maize chromosome 9 radiation hybrids derived from an oat-maize addition line.
Genetics
156: 327-339
[Abstract/Free Full Text]
-
Rozen S, Skaletsky HJ (1998) Primer3. version 0.2, available through the Whitehead Institute for Biomedical Research/MIT
center for Genome Research website.
http://www-genome.wi.mit.edu/genome_software/other/primer3.html.
January 1999-July 2000
-
Saghai-Maroof MA, Soliman KM, Jorgensen RA, Allard RW
(1984)
Ribosomal DNA spacer-length polymorphisms in barley: Mendelian inheritance, chromosomal location, and population dynamics.
Proc Natl Acad Sci USA
81: 8014-818
[Abstract/Free Full Text]
-
Sakai H, Medrano LJ, Meyerowitz EM
(1995)
Role of SUPERMAN in maintaining Arabidopsis floral whorl boundaries.
Nature
378: 199-206
[CrossRef][Medline]
-
Wang DG, Fan JB, Siao CJ, Berno A, Young P, Sapolsky R, Ghandour G, Perkins N, Winchester E, Spencer J
(1998)
Large-scale identification, mapping, and genotyping of single-nucleotide polymorphisms in the human genome.
Science
280: 1077-1082
[Abstract/Free Full Text]
-
Wilson WA, Harrington SE, Woodman WL, Lee M, Sorrells ME, McCouch SR
(1999)
Inferences on the genome structure of progenitor maize through comparative analysis of rice, maize and the domesticated panicoids.
Genetics
153: 453-473
[Abstract/Free Full Text]
© 2001 American Society of Plant Physiologists
This article has been cited by other articles:

|
 |

|
 |
 
A. Sindhu, S. Chintamanani, A. S. Brandt, M. Zanis, S. R. Scofield, and G. S. Johal
A guardian of grasses: Specific origin and conservation of a unique disease-resistance gene in the grass lineage
PNAS,
February 5, 2008;
105(5):
1762 - 1767.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
R. L. Phillips
Genetic Tools from Nature and the Nature of Genetic Tools
Crop Sci.,
September 8, 2006;
46(5):
2245 - 2252.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
E. Mica, L. Gianfranceschi, and M. E. Pe
Characterization of five microRNA families in maize
J. Exp. Bot.,
August 1, 2006;
57(11):
2601 - 2612.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. Cho, D. F. Garvin, and G. J. Muehlbauer
Transcriptome Analysis and Physical Mapping of Barley Genes in Wheat-Barley Chromosome Addition Lines
Genetics,
February 1, 2006;
172(2):
1277 - 1285.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
M. Falque, L. Decousset, D. Dervins, A.-M. Jacob, J. Joets, J.-P. Martinant, X. Raffoux, N. Ribiere, C. Ridel, D. Samson, et al.
Linkage Mapping of 1454 New Maize Candidate Gene Loci
Genetics,
August 1, 2005;
170(4):
1957 - 1966.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
R. G. Kynast, R. J. Okagaki, M. W. Galatowitsch, S. R. Granath, M. S. Jacobs, A. O. Stec, H. W. Rines, and R. L. Phillips
From The Cover: Dissecting the maize genome by using chromosome addition and radiation hybrid lines
PNAS,
June 29, 2004;
101(26):
9921 - 9926.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
J. King, I. P. Armstead, I. S. Donnison, H. M. Thomas, R. N. Jones, M. J. Kearsey, L. A. Roberts, A. Thomas, W. G. Morgan, and I. P. King
Physical and Genetic Mapping in the Grasses Lolium perenne and Festuca pratensis
Genetics,
May 1, 2002;
161(1):
315 - 324.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
R. G. Kynast, O. Riera-Lizarazu, M. I. Vales, R. J. Okagaki, S. B. Maquieira, G. Chen, E. V. Ananiev, W. E. Odland, C. D. Russell, A. O. Stec, et al.
A Complete Set of Maize Individual Chromosome Additions to the Oat Genome
Plant Physiology,
March 1, 2001;
125(3):
1216 - 1227.
[Abstract]
[Full Text]
|
 |
|
|
|