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Plant Physiol, June 2001, Vol. 126, pp. 480-484
SCIENTIFIC CORRESPONDENCE
High-Throughput Screening for Induced Point Mutations
Trenton
Colbert,
Bradley J.
Till,
Rachel
Tompa,
Steve
Reynolds,
Michael N.
Steine,
Anthony T.
Yeung,
Claire M.
McCallum,
Luca
Comai, and
Steven
Henikoff*
Basic Sciences Division, Fred Hutchinson Cancer Research Center,
Seattle, Washington 98109 (T.C., B.J.T., R.T., M.N.S., C.M.M., S.H.);
Department of Botany, University of Washington, Seattle, Washington
98195 (S.R., L.C.); and Fox Chase Cancer Center, Philadelphia,
Pennsylvania 19111 (A.T.Y.)
 |
INTRODUCTION |
With the completion of
genome sequencing projects, emphasis in genomics has shifted from
analyzing sequences to understanding gene function, and effective
reverse genetic strategies are increasingly in demand. Here we report
adaptations of the targeting induced local lesions in genomes (TILLING)
reverse genetic strategy (McCallum et al., 2000a ) to make it suitable
for large-scale screening of chemically induced mutations in
Arabidopsis and other plants.
TILLING has several advantages over other reverse genetic strategies.
Unlike methods that provide only knockout mutations (e.g. Altmann et
al., 1995 ), TILLING yields a traditional allelic series of point
mutations. This will be especially valuable for essential genes, where
sublethal alleles are required for phenotypic analysis. Because
chemical mutagenesis causes a high density of mutations (Koornneef et
al., 1982 ), virtually all genes can be targeted by screening relatively
few individuals. Furthermore, the generality of chemical mutagenesis
means that TILLING can be applied to plants without requiring
transgenic or sophisticated tissue culture methodology. However, point
mutations are relatively subtle changes, so their detection can be
challenging. This problem has received much current attention because
of the importance of discovering single nucleotide polymorphisms in
humans for genotyping, and numerous strategies have been introduced
(Kristensen et al., 2001 ). In the original TILLING method, we described
the use of denaturing HPLC (dHPLC) for sensitive mutation discovery in
pools (McCallum et al., 2000a ). The availability of an automated column injector that accepts a 96-well microtiter plate (Underhill et al.,
1997 ) meant that TILLING could be routinely performed in a central
facility at the rate of about one gene per week. To obtain high
throughput for genomic applications, we desired a reliable and
inexpensive point mutation discovery method that could be performed
more rapidly than dHPLC and in a robust manner.
 |
GEL-BASED SCREENING FOR MISMATCHED HETERODUPLEXES |
In the basic TILLING method (Fig.
1), seeds are mutagenized by treatment
with EMS. The resulting M1 plants are self-fertilized, and the M2
generation of individuals is used to prepare DNA samples for mutational
screening while their seeds are inventoried. DNA samples are pooled,
and pools are arrayed on microtiter plates and subjected to
gene-specific PCR. In the new high-throughput method described here,
amplification products are incubated with an endonuclease that
preferentially cleaves mismatches in heteroduplexes between wild type
and mutant. Cleavage products are electrophoresed using an automated
sequencing gel apparatus, and gel images are analyzed with the aid of a
standard commercial image-processing program. Differential double end
labeling of amplification products allows for rapid visual confirmation
because mutations are detected on complementary strands, and therefore
can be easily distinguished from amplification artifacts. Upon
detection of a mutation in a pool, the individual DNA samples are
similarly screened to identify the plant carrying the mutation. This
rapid screening procedure determines the location of a mutation to
within a few base pairs for PCR products up to 1 kb in size.

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Figure 1.
High-throughput TILLING. Starting with a single
plant of Arabidopsis, ecotype Columbia homozygous for an
erecta mutation (Torii et al., 1996 ), seeds were collected
and mutagenized in batches at 20, 25, or 30 mM
ethylmethanesulfonate (EMS) as described (McCallum et al., 2000a ). M1
plants were allowed to grow in trays, and seeds were sown in pots for
the M2 generation, where each M2 derived from a different M1 plant. M2
DNAs were prepared from 0.2 g of leaf and/or stem tissue using the
Bio101 FastDNA system
(http://www.qbiogene.com/protocols/dna-kits/p-fastdna.html) following
the manufacturer's instructions, and concentrations were estimated by
visualization on 1% (w/v) agarose electrophoretic
gels and equalized before dilution (in 10 mM Tris [pH 8.0] and 1 mM
EDTA) and (8-fold) pooling. PCR is performed in 10-µL volumes using
ExTaq polymerase (Fisher/Panvera Labs), except that only half the
manufacturer's recommended concentration of buffer is used, and
MgCl2 is increased to 2 mM.
Primers are obtained from MWG Biotech
(http://www.mwgbiotech.com/services/dna/index.htm) and mixed in a ratio
of 3:2 (labeled:unlabeled) for the IR Dye 700-labeled
primer and 4:1 (labeled:unlabeled) for the IR Dye 800-labeled primer,
for final primer concentrations of 0.2 µM. Primers are designed with
melting temperatures of 60°C to 70°C, and final annealing
temperatures of melting temperature 5°C are chosen. Cycling is
performed in MWG Biotech 96-well cyclers as follows: 95°C for 2 min;
eight cycles of touchdown PCR (94°C for 20 s [denaturation],
Tm + 3°C to Tm 4°C
decrementing 1°C per cycle [annealing], and 72°C for 45 s to
1 min [extension for 600-1,000-bp products]); 45 cycles of: 94°C
for 20 s (denaturation), Tm 5°C
(annealing), and 72°C for 45 s to 1 min; 72°C for 5 min;
99°C for 10 min (inactivation); and 70 cycles of 20 s at 70°C
to 49°C, decrementing 0.3°C per cycle (reannealing). Cycling is
followed by CEL I treatment, cleanup, gel electrophoresis, and scanning
(see Fig. 2).
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Several enzymes have been used for mismatch-specific cleavage,
including S1 nuclease (Howard et al., 1999 ) and T4 endonuclease VII
(Youil et al., 1996 ). We settled upon a recently described member of
the S1 nuclease family, CEL I, a plant-specific extracellular glycoprotein (Oleykowski et al., 1998 ). CEL I has been shown to be
suitable for genotyping applications because it preferentially cleaves
mismatches of all types (Oleykowski et al., 1998 ) and has been used
to detect heterozygous polymorphisms in DNA pools (Kulinski et
al., 2000 ). Following PCR amplification of genomic DNA in 96-well
plates, a solution containing CEL I is added and incubated. A stop
solution is added and the mixture transferred to a 96-well Sephadex G50
spin plate for cleanup by centrifugation into a formamide-containing
denaturation solution. After reducing the volume by heating, a robotic
comb loader transfers aliquots to a membrane comb, which is inserted
into the well of a slab gel for electrophoresis.
Slab gel electrophoresis is well suited for large-scale mutation
detection. The two-dimensional readout facilitates the detection of
rare events, such as mutations, because a new band will stand out above
the wild-type background and can be easily spotted. The size of each
new band is also obtained, an advantage over other methods based on
detection of mismatches or conformational changes (Nataraj et al.,
1999 ), which do not indicate where in the molecule a mutation resides.
So, although a new mutation in a coding exon will require sequencing,
knowing its approximate location simplifies this step.
The DNAs are separated by denaturing gel electrophoresis and detected
in two separate channels by scanners (LI-COR, Lincoln, NE; Middendorf
et al., 1992 ). Sensitivity is sufficient to detect the approximately
100 attomoles of cleavage product generated by CEL I in an 8-fold pool,
or one in 16 genomes for a heterozygous mutation. Opposed PCR primers
carry different dye labels. Because there is no detectable overlap
between the infrared (IR) Dye 700 and IR Dye 800 dye labels, images can
be examined directly for the presence of novel bands in either channel.
A UNIX perl program ("grab") retrieves and archives the image files
from the LI-COR scanners via a file transfer protocol and processes
them (using ImageMagick for UNIX, www.imagemagick.org) to create
compressed JPEG files on a central server for Adobe Photoshop (Adobe,
Seattle) analysis on networked local computers (Macintoshes and
personal computers). A typical gel image (Fig.
2) will show a sequence-specific pattern
of background bands resulting from endonucleolytic cleavages common to
all 96 lanes. By superimposing images representing both channels and
flipping between them, one can readily detect a lane containing a novel
band in one channel and a corresponding novel band in the other
channel. The sum of the two band sizes is equal to the full-length
product visible at the top of the image. This visual assay is aided by
the approximate proportionality of the migration distance to
Mr, so that a band in one channel is nearly the same distance from the leading edge as the corresponding band in
the other channel is from the full-length product. Photoshop image
manipulation tools, rulers, and guides facilitate determination of
migration distances and lane numbers for the two bands. These data,
together with subjective data quality assessments, are recorded using a
perl program ("squint"), which applies a calibration curve to
estimate Mrs.

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Figure 2.
Example of a gel used for mutation detection in
8-fold pools. For digestion of 10-µL PCR products in 96-well plates,
20 µL of a solution containing 10 mM HEPES
[4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid] (pH 7.5), 10 mM MgSO4, 0.002% (w/v) Triton
X-100, 20 ng mL 1 of bovine serum
albumin, and 1/1000 dilution of CEL I (50 units
µL 1) was added with mixing on ice, and the
plate was incubated at 45°C for 15 min. CEL I was purified from 30 kg
of celery as described by Oleykowski et al. (1998) , except that
Poros HQ rather than Mono Q was used, and the PhenylSepharose and
Superdex 75 columns were omitted. The specific activity was 1 × 106 units mL 1, where a
unit is defined as the amount of CEL I required to digest 50% of 200 ng of a 500-bp DNA fragment that has a single mismatch in 50% of the
duplexes. Reactions were stopped by addition of 5 µL 0.15 M EDTA (pH 8) and the mixture pipetted into wells of a spin
plate (G50, Sephadex) prepared and spun according to the
manufacturer's recommendations into a plate containing 1 to 1.5 µL
of formamide load solution (1 mM EDTA [pH 8] and 200 µg
mL 1 bromphenol blue in deionized formamide).
The volume was reduced to a minimum by incubation at 96°C uncovered
(30-40 min) and stored on ice, then transferred to a membrane comb
using a comb loading robot (MWG Biotech). IR Dye 800-labeled
Mr marker mix (50-700 bp) was applied to
outside teeth. Following the prerun focusing step on a LI-COR Global
IR2 gel scanner, the comb was inserted,
electrophoresed for 1 min, and removed. Electrophoresis was continued
for 4 h at 1,500-V, 40-W, and 40-mA limits at 50°C. The figure
shows IR Dye 800 (left) and IR Dye 700 (right) channels of a
representative run. Bands corresponding to four of seven mutations
detected on this gel are shown boxed, and sections of the IR Dye 700 images are magnified in offsets (far right). Note that these are seen
only in one channel, but have counterparts in the other channel that
add up to the length of the full-sized 1,012-bp product (band at top).
Several bands near the bottom of the gel are detected in both channels:
These artifactual bands result from random mispriming. A total of
approximately 750 kb of sequence has been interrogated for point
mutations on this single gel.
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An important advantage of double-end labeling for detecting both CEL I
cleavage products is avoidance of false positive bands, of which there
are two types: those that appear in multiple lanes in a single channel
and those that appear in a single lane but in the same position in both
channels. Because it is highly unlikely that the same mutation will
appear in two different plants, we assume that certain homoduplex sites
are especially sensitive to variability in CEL I digestion, causing
bands to appear in multiple lanes above the background pattern. Bands
that appear in both channels are likely to be examples in which
mis-priming leads to a large amount of double-end-labeled product of a
single size, with smaller products having a selective advantage over larger products during cycling, leading to sporadic
low-Mr bands. We have found that PCR
product yield is typically low and inconsistent using both IR Dye 700 and IR Dye 800 dyes on opposing primers; however, consistent results
have been obtained using a mixture of IR Dye-labeled and unlabeled primers.
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IDENTIFYING MUTATIONS IN POOLED AND INDIVIDUAL DNA SAMPLES |
Initial experiments were performed using 5-fold pooling, which
appears to be the practical limit of detection by dHPLC for fragments
in the 500- to 600-bp range (McCallum et al., 2000a ). By screening for
mutations in the same fragments using both dHPLC and the current
method, we could directly compare their detection levels. For example,
we performed high-throughput TILLING on 5-fold pooled samples for the
Sir2B gene, which had previously been carefully screened using dHPLC,
with products confirmed by DNA sequencing. Six confirmed mutations, all
heterozygous G/C to A/T transitions, were detected by both
methods: Four were detected using dHPLC and five by the high-throughput
method. When we increased pooling to 8-fold, we obtained similarly high
detection levels without false positives: In one test, a screening of
4-fold pools found only the same seven mutations discovered in 8-fold
pools of the same DNAs (data not shown). Therefore, we adopted an
8-fold pooling scheme.
Once a mutation is detected in a pool, the individual DNA samples
comprising the pool are screened. Individual samples are arrayed in an
8 × 8 grid on microtiter plates, such that each pool corresponds
to a row of individuals; thus, each column of the pool plate
corresponds to a column of rows in the 8 × 8 grid. Using an
eight-channel multipipettor, DNA is transferred from the row
corresponding to the positive pool into a column of a fresh microtiter
plate, so that 12 mutations per plate are screened as individuals. A
UNIX perl program ("pick") facilitates this step by converting a
set of squint output files into a table providing the plate number and
row coordinate corresponding to each positive pool. To detect
homozygotes as heteroduplexes, the individual samples are mixed with an
equal amount of wild-type DNA. From this point on, screening to detect
12 individual mutations is identical to screening of pools, including
amplification, CEL I digestion, gel electrophoresis, and grab,
Photoshop, and squint analyses. This results in the identification of
the plant in which a point mutation has occurred and an estimated
location within a few base pairs of the lesion. Using this two-step
strategy, we have been able to interrogate as much as approximately 750 kb of individual genomic sequences per gel (1 kb × eight plant DNAs × 96 lanes), and have identified mutations in 20 Arabidopsis chromatin genes
(http://Ag.Arizona.Edu/chromatin/atgenes.html). For the most
heavily mutagenized plants that we have screened, which displayed 30%
embryo lethality after the first round of selfing, we estimate
approximately seven point mutations per 8-fold pool plate (representing
768 plants) per gel for 1-kb fragments. This corresponds to
approximately 1,000 EMS-induced mutations per Arabidopsis genome.
 |
A HIGH-THROUGHPUT TILLING FACILITY |
We are establishing a high-throughput facility for TILLING genes
as a service to the Arabidopsis community and as a model for TILLING
other plants. Using an interactive web-based system developed by Nick
Taylor and Elizabeth A. Greene (Fred Hutchinton Cancer Research
Center, Seattle; http://www.proweb.org/coddle), a user
chooses primers designed to maximize the probability of a deleterious
mutation in the gene of interest. Regions that have high stop codon
potential and high evolutionary conservation are most useful for
providing an allelic series (McCallum et al., 2000b ). By our current
plan, users will be billed directly by an oligonucleotide manufacturer
for primers, which will be delivered to the facility for screening
pools and individuals at no charge. Upon discovery of mutations in
reference plants, the user will report the plant number and the
position of the mutation to the facility electronically. The user will
also receive seeds from the mutant plants via the Arabidopsis
Biological Resource Center (Columbus, OH) for a nominal charge. We also
anticipate providing aliquots of primers and DNAs from mutant plants
sufficient for amplification and base determination either by DNA
sequencing or by direct termination PCR, which has recently been
adapted for the LI-COR double end-labeling system (Chen et al., 2001 ). In return, the user will be expected to ascertain the base change in
each mutant, which is usually a G/C to A/T transition (McCallum et al.,
2000b ), and report it back to the TILLING project, where it will be
entered in a public mutant database, accessible by BLASTN and BLASTP
analysis. Because our gel-based detection system determines the
location of the mutation to within a few base pairs, the task of
identifying the precise mutation is greatly simplified, especially for
heterozygotes, where mutant and wild-type sequences overlap. Depending
on whether the mutant plant is homozygous or heterozygous, the user
will analyze one or more DNAs by amplification and sequencing or
typing, and perform the phenotypic analyses and subsequent crosses
(McCallum et al., 2000b ). It is expected that most mutations will be
missense alleles. For mutations that fall into conserved regions of
proteins, it is possible to predict their severity using the recently
introduced SIFT algorithm (Ng and Henikoff, 2001 ), which is
available for interactive use on the web
(http://blocks.fhcrc.org/~pauline/SIFT.html).
Our high-throughput procedure is rapid and relatively inexpensive. A
single technician can easily perform all operations at the rate of four
gel runs per day, enough to screen for mutations in 3,000 plants. For
the highest mutation rates that we have obtained (approximately 1,000 per genome), this corresponds to more than 20 mutations, enough to
provide a better than even chance of at least one knockout lesion in a
typical gene, plus an allelic series of a dozen or more missense
mutations. With standard 96-well pipettors and robotics replacing
manual multipipettors and PCR machines, we expect that the capacity of
our four LI-COR scanners can be increased to 16 runs per day, enough to
TILL at the rate of three to four genes per day.
 |
CONCLUSIONS |
By taking advantage of robust equipment developed for
high-throughput sequencing and genotyping and a popular image analysis program developed for the general public, we have been able to streamline plant reverse genetics. We expect that TILLING will be
comparably efficient for plants with larger genomes because EMS
toxicity is expected to scale with the number of functional genes,
which is likely to be similar for all higher plants. The generality of
our methodology encourages its application beyond plants. For example,
our high-throughput methodology should be directly applicable to an
EMS-based reverse genetic method utilizing dHPLC described for
Drosophila melanogaster (Bentley et al., 2000 ). Because
there is no practical method for maintaining fertile D. melanogaster beyond several weeks, a rapid procedure is especially desirable to minimize the burden of continually mutagenizing and culturing flies. Another possible application of high-throughput TILLING is in an ongoing Caenorhabditis elegans reverse
genetics project that provides knockouts using chemical mutagenesis for production of deletions (Jansen et al., 1997 ). Given the utility of
allelic series to complement knockout and RNA-mediated inhibition analyses, we can envision the adoption of our procedures for worms as
well. Thus, there is the prospect that a technology introduced in
plants will be adopted for these preeminent model organisms, a reversal
of recent trends in genomics.
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ACKNOWLEDGMENTS |
We thank Jorja Henikoff for writing grab, squint, and pick;
Elizabeth Greene and Nick Taylor (FHCRC) for making CODDLE available to
us prior to publication; Jochen Jaeger and Ann Slade for helpful discussions; and Michelle Acupanda, Brianna Borders, Amy Holmes, Jessica Johnson, Christine Codomo, Amber Kost, and Kim Young for planting, harvesting, and preparing the DNA samples.
 |
FOOTNOTES |
Received March 6, 2001; returned for revision March 13, 2001; accepted March 16, 2001.
*
Corresponding author; e-mail steveh{at}fhcrc.org; fax 206-667-5889.
1
This work was supported by the National Science
Foundation Plant Genome Program (grant to L.C. and S.H.), by the
National Institutes of Health (grant nos. CA71426 to A.T.Y. and GM29009 to S.H.), and by the U.S. Department of Agriculture (grant no. 97-35301 to L.C.). S.H. is an Investigator of the Howard Hughes Medical Institute.
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E. A. Greene, C. A. Codomo, N. E. Taylor, J. G. Henikoff, B. J. Till, S. H. Reynolds, L. C. Enns, C. Burtner, J. E. Johnson, A. R. Odden, et al.
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P. Epple, A. A. Mack, V. R. F. Morris, and J. L. Dangl
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PNAS,
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[Abstract]
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B. J. Till, S. H. Reynolds, E. A. Greene, C. A. Codomo, L. C. Enns, J. E. Johnson, C. Burtner, A. R. Odden, K. Young, N. E. Taylor, et al.
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524 - 530.
[Abstract]
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K. A. VandenBosch and G. Stacey
Summaries of Legume Genomics Projects from around the Globe. Community Resources for Crops and Models
Plant Physiology,
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J. A. Perry, T. L. Wang, T. J. Welham, S. Gardner, J. M. Pike, S. Yoshida, and M. Parniske
A TILLING Reverse Genetics Tool and a Web-Accessible Collection of Mutants of the Legume Lotus japonicus
Plant Physiology,
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E. Rojo, J. Zouhar, V. Kovaleva, S. Hong, and N. V. Raikhel
The AtC-VPS Protein Complex Is Localized to the Tonoplast and the Prevacuolar Compartment in Arabidopsis
Mol. Biol. Cell,
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[Abstract]
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G. Jander, S. R. Baerson, J. A. Hudak, K. A. Gonzalez, K. J. Gruys, and R. L. Last
Ethylmethanesulfonate Saturation Mutagenesis in Arabidopsis to Determine Frequency of Herbicide Resistance
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[Abstract]
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N. A. Eckardt, H.-T. Cho, R. M. Perrin, and M. R. Willmann
Plant Biology 2001
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N. A. Eckardt, T. Araki, C. Benning, P. Cubas, J. Goodrich, S. E. Jacobsen, P. Masson, E. Nambara, R. Simon, S. Somerville, et al.
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B. Scheres and J. Browse
Playing with Arabidopsis
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