NEATTILL: A simplified procedure for nucleic acid extraction from arrayed tissue for TILLING and other high-throughput reverse genetic applications
© Sreelakshmi et al; licensee BioMed Central Ltd. 2010
Received: 7 December 2009
Accepted: 26 January 2010
Published: 26 January 2010
TILLING (Targeting Induced Local Lesions in Genomes) is a reverse genetics procedure for identifying point mutations in selected gene(s) amplified from a mutagenized population using high-throughput detection platforms such as slab gel electrophoresis, capillary electrophoresis or dHPLC. One essential pre-requisite for TILLING is genomic DNA isolation from a large population for PCR amplification of selected target genes. It also requires multiplexing of genomic DNA isolated from different individuals (pooling) in typically 8-fold pools, for mutation scanning, and to minimize the number of PCR amplifications, which is a strenuous and long-drawn-out work. We describe here a simplified procedure of multiplexing, NEATTILL (Nucleic acid Extraction from Arrayed Tissue for TILLING), which is rapid and equally efficient in assisting mutation detection.
The NEATTILL procedure was evaluated for the tomato TILLING platform and was found to be simpler and more efficient than previously available methods. The procedure consisted of pooling tissue samples, instead of nucleic acid, from individual plants in 96-well plates, followed by DNA isolation from the arrayed samples by a novel protocol. The three variants of the NEATTILL procedure (vast, in-depth and intermediate) can be applied across various genomes depending upon the population size of the TILLING platform. The 2-D pooling ensures the precise confirmation of the coordinates of the positive mutant line while scanning complementary plates. Choice of tissue for arraying and nucleic acid isolation is discussed in detail with reference to tomato.
NEATTILL is a convenient procedure that can be applied to all organisms, the genomes of which have been mutagenized and are being scanned for multiple alleles of various genes by TILLING for understanding gene-to-phenotype relationships. It is a time-saving, less labour intensive and reasonably cost-effective method. Tissue arraying can cut costs by up to 90% and minimizes the risk of exposing the DNA to nucleases. Before arraying, different tissues should be evaluated for DNA quality, as the case study in tomato showed that cotyledons rather than leaves are better suited for DNA isolation. The protocol described here for nucleic acid isolation can be generally adapted for large-scale projects such as insertional mutagenesis, transgenic confirmation, mapping and fingerprinting which require isolation of DNA from large populations.
Several strategies for crop improvement for increased yield, better agronomic or novel traits, improved resistance to diseases and pests, to meet demand for biofuels and secondary metabolites for pharmaceutical or industrial purposes have been targeted by breeders and plant biologists. These strategies range from conventional selection processes, mutagenesis and breeding, to biotechnological approaches such as genetic transformation, RNA interference, insertional mutagenesis or targeted manipulation by zinc finger nucleases and rapid trait development system (RTDS) [1–3].
In the post-genomics era, the major impetus is on annotation of the genome sequence resources generated and assigning functions to individual genes. In general, the availability of such genome sequence resources in several plant species has given researchers an opportunity to shift from the traditional forward genetics approach to the reverse genetics strategies, which unlike the former approach essentially correlate the genomic sequence data to the phenotypic traits. The daunting task of deciphering the functions of newly discovered genes in various plants has ushered the researchers into the area of functional genomics and the focus has shifted to tools which can perform in high throughput manner.
In this direction one such tool developed is Targeting Induced Local Lesions IN Genomes (TILLING) [4–6], which essentially integrates the conventional mutagenesis approach with high throughput mutation detection. It involves generating a large mutant population by treatment of seed or pollen (in case of plants) with alkylating agents such as EMS (ethylmethane sulphonate) or ENU (ethylnitrosourea) with the aim of saturating the whole genome with mutations. This class of mutagens causes large number of random point mutations in the genome, thus theoretically multiple alleles of any gene can be obtained in the population. For TILLING, genomic DNA is isolated from M2 plants (5,000-10,000), pooled (2-8 folds) and is amplified by PCR with a set of differentially labeled fluorescent primers. The PCR products are denatured and renatured and are digested with a S1/P1 endonuclease, CEL I, which cuts the DNA heteroduplexes specifically at the site of mismatch. The digested products after electrophoresis are visualized using LI-COR Analyzer, denaturing dHPLC or even agarose gels [5–9].
One essential feature of TILLING is that it needs pooling of genomic DNA of mutant with wild type thus allowing generation of mismatches in heteroduplexes. Therefore, procedure of TILLING utilizes the multiplex approach i.e. pooling at least two DNA samples, prior to PCR amplification. Since mutagenesis is a random event, it obviates the need of using wild type DNA for pooling and different numbers of individuals upward of two can be pooled for mutation detection. The upper limit of pooling is determined by the efficiency of mutation detection procedure. One obvious advantage of pooling is the considerable reduction in the number of PCR amplifications to be carried out for mutation detection. Moreover, pooling also reduces the cost of consumables and the time needed for mutation scanning. In most species (Arabidopsis, maize, lotus, barley, wheat, Drosophila, soybean, sorghum, Phytophthora) where TILLING was used to detect point mutations, the samples were pooled after DNA extraction, prior to PCR amplification step of TILLING [7, 10–17]. However, pre-amplification pooling of genomic DNA is not a strict requisite, for example in zebrafish instead of genomic DNA, four individual PCR-amplified samples were pooled prior to CEL I digestion .
In general, the choice of pooling is determined by striking a balance between total number of PCR reactions to be carried on population and chances of detection of mutations in the pool. Different groups have followed various levels of pooling i.e. four, six, eight or even higher folds of DNA pooling, however, the higher folds of pooling beyond 8-fold pool, reduce the chances of mutation detection. Almost all the methods previously described for TILLING rely on isolation of individual DNA samples (1,000-15,000) followed by pooling (one/two dimensional) [19, 20]. The harvesting and arraying of large number of samples and subsequent DNA isolation is a protracted process and often takes days or even weeks to generate primary DNA resource for a given population. This effort and time is compounded by the obligatory necessity of DNA dilution, equalization, and x-fold pooling to reduce the number of samples for PCR amplification. Nonetheless, these steps are essential for TILLING and require considerable inputs in terms of time and labor.
Here we describe a simplified 2-dimensional pooling strategy, NEATTILL- Nucleic acid Extraction from Arrayed Tissue for TILLING, and a modified high throughput DNA isolation protocol for tomato. Our protocol circumvents isolation of DNA from individual plants by pooling of tissue from different plants followed by DNA isolation from pooled arrayed samples. The scanning of mutations in 2-D pooled plates allows simplified identification of mutant lines as a mutation detected in the row-pooled plate is also represented in the complementary column-pooled plate, allowing direct identification of mutant lines. The pooling of tissue prior to DNA isolation reduces the total number of extractions with added benefits of cost reduction and time saving.
Results and Discussion
Comparative evaluation of DNA isolation protocols
Comparison of different DNA isolation protocols
Feasibility of isolation in 96 well plates
Yield (μg/100 mg tissue)
Time required (h)
Cost (in USD/100 samples)*
Krysan et al
Kang and Yang
Chao & Somers
Elimination of phenolics
The long-term stability of isolated DNA is paramount for TIILING as genomic DNA is used for several years. We found that DNA suspended in TE (10 mM Tris pH 7.5 and 1 mM EDTA pH 8.0) supplemented with RNase (32 μg/ml) (Till et al) was stable and retained its quality and PCR amplification even after storage at 4°C for 15 months. In contrast, the DNA suspended in water degraded over time and did not show any PCR amplification after 15 months (Fig. 3B). For long-term storage, we store DNA suspended in TE with RNase in -20°C freezers. With these modifications for DNA isolation and storage we used the NEATTILL protocol for high throughput DNA isolation from tomato cotyledons.
Choice of tissue for arraying and DNA isolation
Higher eukaryotes offer several possibilities for the starting tissue material for DNA isolation. Choosing the right tissue for arraying and DNA isolation is critical in the overall NEATTILL procedure as it generates the genomic DNA resource for TILLING. Factors such as easy availability, feasibility of culture (in case of micro-organisms and cell lines) and growth (in case of plants), minimum post-collection manipulation with samples (such as specific treatments or tissue cleaning, cutting into pieces), age of the tissue sample, absence of secondary metabolites (especially relevant in case of plants) and DNA stability during long term storage can influence one's choice of tissue. Most often genomic DNA is isolated from leaves of plants grown in field or green house. We found that for tomato DNA isolated from mature leaves was of inferior quality due to the presence of secondary metabolites (especially, anthocyanins and polyphenolics). The usage of emerging juvenile leaves, which had less secondary metabolites, yielded better quality DNA. Relatively superior quality DNA was obtained from young cotyledons with minimal interference from secondary metabolites. One advantage of using cotyledons as starting material is that DNA isolation can be done using culture room grown plants at any time of the year.
NEATTILL: Simplified pooling strategy of arraying of tissue samples
In addition to modified DNA isolation protocol, we adopted pooling of tissue prior to extraction of DNA which is advantageous, especially, while handling large number of plants. First, it causes an 8 fold reduction in number of DNA preparations to be handled; second, by reducing the number of steps, it also reduces the chances of contamination by nucleases. To ensure that the DNA from each individual plant is equally represented, the tissue of almost equal weight or size was selected. The total amount of tissue to be harvested for DNA extraction is determined by the overall volume available for tissue homogenization and processing in the deepwell plate and sample weight/extraction buffer ratio. In case of tomato we used equal sized cotyledons and the total weight of 8 cotyledons taken per well was about 80-100 mg, which could be homogenized in 2 ml volume available in each well of deepwell plates. For pooling of cotyledons, we germinated 8 seedlings per mutant line in 96 well plates and one seedling per line was pooled. On completion of pooling of all the mutant lines in the population, we again harvested the seedlings as in the previous case and subjected it to second round of pooling to generate backup plates.
Tissue arraying options
A cost effective protocol for high throughput DNA isolation
NEATTILL, although offers the flexibility of scanning populations in 3 ways: vast, in-depth or intermediate, has one limitation that the fold pooling of DNA is fixed. However, when DNA is isolated separately from individuals, one can try various levels of pooling (2×, 3×, 4×, 5×, 6× or 8×) at any point of time but this flexibility is not possible with tissue pooling. Therefore, fold pooling which works best in a particular organism has to be determined before attempting NEATTILL using a known mutation as a positive control.
Large scale TILLING projects require huge investments in terms of infrastructure, reagents, consumables, time and labor for generation and subsequent analysis of mutagenized populations. To make the procedure high throughput, multiplexing of samples is preferred. We developed a procedure for multiplexing in which tissue samples are combined instead of nucleic acid as previously used for TILLING. The procedure, NEATTILL, saves time, lowers the reagent costs by up to 90% and is less labour intensive as the number of DNA samples is reduced. Consequently, less number of samples has to be equalized and pooled. The three variants of NEATTILL- vast, in-depth and intermediate can be attempted according to the population size or fold pooling giving the flexibility to represent sufficient number of individuals per mutant line for screening.
The choice of tissue for DNA extraction is critical for obtaining best quality DNA. In case of tomato, cotyledons yielded better quality DNA than leaves. Cotyledon or juvenile tissue pooling from seedlings can be applied to other plant species too. After tissue collection, the seedlings could be transplanted in field for phenotypic characterization and this has an added advantage of having DNA from the mutant line which is also phenotypically characterized. The 2-D pooling generates complementary plates (row and column) simultaneously. The screening of these complementary plates gives the exact co-ordinates of the positive mutant line and setting of separate reactions to deconvulate a mutant pool is avoided.
Plant material and Consumables
EMS mutagenized M2 seeds of tomato (Solanum Lycopersicon) cv. Arka Vikas (Arka vikas seeds were originally obtained from Indian Institute of Horticulture Research, Bangalore) or cv. M82 raised by Menda et al were used for the study. All plasticware including deepwell plates (2 ml) were procured from Axygen Limited, India. The equipments used were capable of accommodating 96 well plasticwares: high speed centrifuge (Evolution RC, Sorvall with SH-3000 swinging bucket rotor capable of accommodating 4 deepwell plates at a time), 96 well pipettor (PP550 DS, Apricot Designs), Mini Bead Beater (BioSpec Products Inc.); PCR machine (DNA Engine Tetrad 2, MJ Research), 4300 DNA Analyzer (Li-COR Biosciences). Other equipments commonly used in molecular biology laboratory were: horizontal gel electrophoresis system, gel documentation system (Alpha Imager™ 2200, Alpha Innotech), Nanodrop ND-1000 spectrophotometer, dry bath, water baths etc. All chemicals for DNA isolation were from Sigma-Aldrich and the organic solvents used in the procedure were from Qualigens Limited, India. Stock solutions for DNA isolation and TILLING were prepared in sterile MQ water (Milipore water purification system).
Two dimensional 8-fold pooling of cotyledons
The pooling of cotyledons basically consisted of three steps:
Step A: Germination of seeds
Prior to sowing, the M2 seeds were surface sterilized in 2% (v/v) sodium hypochlorite for 15-20 min followed by washing under running tap water. Seedlings were grown in wells of 96 deepwell plates (2 ml) filled with Soilrite mixture. Prior to seed sowing, well bottoms were perforated to facilitate water uptake in Soilrite through bottom. The plates were kept in large plastic trays filled with 1 cm of water. In each 96-well plate, 8 seeds each of 24 individual mutant lines were sown by placing 2 seeds in sample wells using a pre-planned grid. In essence, for any single column of plate, in the first four well (A-D) seeds of X mutant lines and in next four wells (E-H) seeds of Y mutant line were sown. The seedlings were grown under white fluorescent light (100 μmol/m2/sec) in growth room at 25 ± 2°C till harvest. The usage of 8 seeds ensured the availability of sufficient number of cotyledons for tissue pooling at the time of harvest.
Step B: Harvesting of seedlings
Seedlings were harvested after full expansion of cotyledons usually 7-10 days from germination. Seedlings along with their roots were pulled from the wells and washed with water to remove adhering Soilrite to the roots. They were serially placed in another 96 deepwell plate (2 ml) filled with water in a preplanned 8 × 8 grid fashion. Twelve such 8 × 8 grids (Fig. 4, Step 1) were made to generate a 'row' and a 'column' 8× pooled plate. Pre-planned pooled grids were prepared prior to harvesting the seedlings and cotyledon pooling with numbers of each mutant lines entered manually in the grid. It is essential to ensure proper placement of seedlings and cotyledons during the process, and it is better conducted with two individuals.
Step C: Eight fold pooling of cotyledons in 2-D fashion
For pooling of cotyledons for DNA isolation, two sterile plates were set up, one for column pooling and second for row pooling. Since harvesting of the cotyledon was done in column wise fashion, a simplified procedure was adopted to ensure the correct pooling of cotyledons. The right cotyledon from all eight seedlings (arranged in a column in 8 × 8 grid plate, red in colour in Fig. 4, step 2) was excised and harvested to make a single column pool, and placed in well 1A of 'column' plate whereas left cotyledon from each seedling was placed in wells of column 1 A to H of the 'row' plate. The next harvest of right cotyledons generated 8-pooled well 1B of 'column' plate and left cotyledons were again placed in wells of column 1 A to H of the 'row' plate, increasing number of cotyledons to two. The entire process of pooling batches of eight seedlings from 8 × 8 grids was repeated for 3rd - 8th columns of the 8 × 8 grid. At the end of total harvest of 8 × 8 grids, 8 cotyledons from grid were pooled in column fashion and 8 cotyledons were pooled in row fashion. Using 12 plates of seedlings we obtained two plates of cotyledons arrayed in row and column fashion (Fig. 4, Step 7). The pooled plates bearing cotyledons were sealed with rubber sealing mats and stored at -80°C freezer until DNA isolation.
Isolation of nucleic acids
Extraction of DNA was essentially carried out as described below. All pipetting was carried out using 96 well pipettor from Apricot Designs.
Step A: Grinding and disruption of tissue
Mechanical disruption of tissue (80-100 mg/8 cotyledons) with three steel balls of ~2 mm in diameter was done in Mini-Bead Beater for 2 min in the presence of 750 μl preheated (65°C) extraction buffer (0.1 M Tris-HCl, pH 7.5; 0.05 M EDTA, pH 8.0; 1.25% (w/v) SDS) containing 0.2 M β-mercaptoethanol and 20 mg of insoluble polyvinylpolypyrrolidone (PVPP). The plate was then incubated at 65°C for 30 min for cell lysis.
Step B: Removal of contaminating RNA
The plate was brought to room temperature by placing it on the lab bench for 5 min. The samples were incubated with RNase (53 μg/ml, Sigma) at this stage by adding 4 μl from 10 mg/ml stock and incubated at 37°C in a water bath for 30 min for removing the RNA from the preparations.
Step C: Separation of proteins and other cellular debris
Precipitation of the proteins was done by the addition of 400 μl of cold 6 M ammonium acetate. The plate was sealed with the sealing mat and the samples were mixed with ammonium acetate by repeated inversion of plates. Thereafter, plates were incubated at 4°C for 15 min followed by 30 min centrifugation at 4700 rpm in a swing out plate rotor (SH-3000) in a Sorvall RC Evolution centrifuge. The precipitated proteins along with other cellular debris were pelleted at the bottom and an aliquot from the clear supernatant (650 μl) containing DNA in aqueous phase was transferred to a new plate using 96 well pipettor.
Step D: Precipitation of nucleic acids and removal of residual salts
Equal volume (650 μl) of cold isopropanol was added to each well to precipitate DNA and plates were incubated at -20°C for at least 2 hrs. The plates were then centrifuged at 4700 rpm at 4°C for 30 min followed by two 70% (v/v) ethanol washes to remove traces of salts from the samples. The plates were kept at 65°C for 10-15 min to dry the DNA pellet. 200 μl TE (10 mM Tris, pH 7.5, 1 mM EDTA pH 8.0) supplemented with 3.2 μg/ml RNase, was added to each of the wells and the plates were kept at 4°C overnight for dissolution. Thereafter, the plates were centrifuged at 4700 rpm at 4°C for 30 min to pellet any undissolved material. An aliquot from the supernatant (180 μl) was transferred to fresh 1 ml plate and then sealed with a fresh sealing mat.
Step E: Quantification of DNA
The DNA samples were incubated at 65°C for 15 min for equal dissolution of the samples and to avoid any stratification of DNA before quantification. Estimation of the yield of isolated DNA samples was done either spectrophotometrically by Nanodrop-1000 or after electrophoresis on 1% (w/v) agarose gel by comparative fluorescence quantification of ethidium bromide stained bands using known standards. Finally, all the samples were equalized to 5 ng/μl and further diluted to 1 ng/μl for screening mutations by TILLING.
Mutation screening by TILLING
Primer design and amplification
Forward (5' GCTTGTTCTGGACCTTTTATGTTTGATTGG 3') and reverse primers (5' ATGAAGCACCACCAGAAATAGGCAACT 3') were designed to amplify a 901 bp region of exon 11 of UV damaged DNA binding protein 1 (high pigment 1) from hp1 mutant of tomato. The mutant, hp1 has an A to T transition in the gene at 11090 bp (AY531661) . Upon digestion with CEL I enzyme, it generated two fragments of 718 bp and 183 bp. Amplification reaction was set up in a volume of 10 μl with 5 ng of 8×-pooled DNA having hp1 mutant DNA as one of the samples. The reaction consisted of 5 μl of template, 1× PCR buffer (10 mM Tris, 5 mM KCl, 1.5 mM MgCl2, 0.1% (w/v) gelatin, 0.005% (v/v) Tween-20, 0.005% (v/v) Np-40, pH 8.8), 0.2 mM dNTPs, 0.18 μl Taq polymerase (in-house isolated) and 3 pmoles of primers combined in a ratio of 3:2:4:1 (forward labeled: forward unlabeled: reverse labeled: reverse unlabeled). The cycling conditions for amplification were 94°C-5 min, 35 cycles of 94°C-20 sec, 72°C-2 min followed by heteroduplex formation: 99°C-10 min, 80°C-20 sec, 70 cycles of 80°C-7 sec with a decrement of 0.3°C per cycle and held at 4°C.
Mismatch cleavage and mutant detection
CEL I was isolated from celery as previously described [19, 32]. The mismatch cleavage reaction was performed in a total volume of 45 μl containing 10 μl PCR product, 1× CEL I digestion buffer (10 mM HEPES buffer pH 7.0, 10 mM KCl, 10 mM MgCl2, 0.002% (v/v) Triton X-100 and 10 μg/ml BSA) and CEL I enzyme at 1: 300 dilution (1 μl/300 μl CEL I digestion buffer). The reaction was incubated at 45°C for 15 min and then stopped by adding 10 μl stop solution (2.5 M NaCl, 75 mM EDTA, pH 8.0 and 0.5 mg/ml blue dextran). Precipitation was done by addition of 125 μl of cold absolute ethanol and a brief incubation in -80°C followed by centrifugation at 4500 rpm in a SH-3000 rotor for 30 min. The pellet was given a 70% (v/v) ethanol wash, dried in a dry bath at 80°C and then suspended in 8 μl formamide loading buffer (37% (v/v) deionized formamide, 1 mM EDTA and 0.02% (w/v) bromophenol blue). The products were denatured by heating to 94°C for 2 min and then placed on ice. About 0.5 μl of the sample was loaded on a denaturing 6.5% (w/v) polyacrylamide gel and was electrophoresed in TBE buffer (89 mM Tris, 89 mM boric acid, 2 mM EDTA, pH 8.3) at 1500 V, 40 mA and 40 V setting on 4300 Li-COR Analyzer. The two TIFF images of 700 and 800 channels were analyzed in Adobe Photoshop software (Adobe Systems Inc.) and the gel was visually assessed for mutations.
The present work is funded by Department of Biotechnology, New Delhi, to RS and the financial support is duly acknowledged. YS is a recipient of Young Scientist grant from Department of Science and Technology, New Delhi. VM, ST, and HM are supported by Junior Research Fellowship from Council of Scientific and Industrial Research, New Delhi; University Grants Commission, New Delhi and University of Hyderabad, Hyderabad respectively.
- Shukla VK, Doyon Y, Miller JC, deKelver RC, Moehle EA, Worden SE, Mitchell JC, Arnold NL, Gopalan S, Meng X, Choi VM, Rock JM, Wu YY, Katibah GE, Zhifang G, McCaskill D, Simpson MA, Blakeslee B, Greenwalt SA, Butler HJ, Hinkley SJ, Zhang L, Rebar EJ, Gregory PD, Urnov FD: Precise genome modification in crop species Zea mays using zinc finger nucleases. Nature. 2009, 459: 437-441. 10.1038/nature07992.View ArticlePubMedGoogle Scholar
- Okuzaki A, Toriyama K: Chimeric RNA/DNA oligonucleotide-directed gene targeting in rice. Plant Cell Rep. 2004, 22: 509-512. 10.1007/s00299-003-0698-2.View ArticlePubMedGoogle Scholar
- Dong C, Beetham P, Vincent K, Sharp P: Oligonucleotide-directed gene repair in wheat using a transient plasmid gene repair assay system. Plant Cell Rep. 2006, 25: 457-465. 10.1007/s00299-005-0098-x.View ArticlePubMedGoogle Scholar
- McCallum CM, Comai L, Greene EA, Henikoff S: Targeted screening for induced mutations. Nat Biotechnol. 2000, 18: 455-457. 10.1038/74542.View ArticlePubMedGoogle Scholar
- McCallum CM, Comai L, Greene EA, Henikoff S: Targeting induced local lesions IN genomes (TILLING) for plant functional genomics. Plant Physiol. 2000, 123: 439-442. 10.1104/pp.123.2.439.PubMed CentralView ArticlePubMedGoogle Scholar
- Colbert T, Till BJ, Tompa R, Reynolds S, Steine MN, Yeung AT, McCallum CM, Comai L, Henikoff S: High-throughput screening for induced point mutations. Plant Physiol. 2001, 126: 480-484. 10.1104/pp.126.2.480.PubMed CentralView ArticlePubMedGoogle Scholar
- Henikoff S, Till BJ, Comai L: TILLING: Traditional Mutagenesis Meets Functional Genomics. Plant Physiol. 2004, 135: 630-636. 10.1104/pp.104.041061.PubMed CentralView ArticlePubMedGoogle Scholar
- Wienholds E, Schulte-Merker S, Walderich B, Plasterk RH: Target-selected inactivation of the zebrafish rag1 gene. Science. 2002, 297: 99-102. 10.1126/science.1071762.View ArticlePubMedGoogle Scholar
- Raghavan C, Naredo E, Wang H, Atienza G, Liu B, Qiu F, McNally K, Leung H: Rapid method of detecting SNPs and its application in candidate gene mapping. Mol Breed. 2007, 19: 87-101. 10.1007/s11032-006-9046-x.View ArticleGoogle Scholar
- Till BJ, Reynolds SH, Weil C, Springer N, Burtner C, Young K, Bowers E, Codomo CA, Enns LC, Odden AR, Greene EA, Comai L, Henikoff S: Discovery of induced point mutations in maize genes by TILLING. BMC Plant Biol. 2004, 4: 12-10.1186/1471-2229-4-12.PubMed CentralView ArticlePubMedGoogle Scholar
- Winkler S, Schwabedissen A, Backasch D, Bokel C, Seidel C, Bonisch S, Furthauer M, Kuhrs A, Cobreros L, Brand M, Gonzalez GM: Target-selected mutant screen by TILLING in Drosophila. Genome Res. 2005, 15: 718-723. 10.1101/gr.3721805.PubMed CentralView ArticlePubMedGoogle Scholar
- Perry JA, Wang TL, Welham TJ, Gardner S, Pike JM, Yoshida S, Parniske M: A TILLING reverse genetics tool and a web-accessible collection of mutants of the legume Lotus japonicus. Plant Physiol. 2003, 131: 866-871. 10.1104/pp.102.017384.PubMed CentralView ArticlePubMedGoogle Scholar
- Slade AJ, Fuerstenberg SI, Loeffler D, Steine MN, Facciotti D: A reverse genetic, non transgenic approach to wheat crop improvement by TILLING. Nat Biotechnol. 2005, 23: 75-81. 10.1038/nbt1043.View ArticlePubMedGoogle Scholar
- Caldwell DG, McCallum N, Shaw P, Muehlbauer GJ, Marshall DF, Waugh R: A structured mutant population for forward and reverse genetics in Barley (Hordeum vulgare L.). Plant J. 2004, 40: 143-150. 10.1111/j.1365-313X.2004.02190.x.View ArticlePubMedGoogle Scholar
- Cooper JL, Till BJ, Laport RG, Darlow MC, Kleffner JM, Jamai A, El-Mellouki T, Liu S, Ritchie R, Nielsen N, Bilyeu KD, Meksem K, Comai L, Henikoff S: TILLING to detect induced mutations in soybean. BMC Plant Biol. 2008, 8: 9-10.1186/1471-2229-8-9.PubMed CentralView ArticlePubMedGoogle Scholar
- Xin Z, Wang ML, Barkley NA, Burow G, Franks C, Pederson G, Burke J: Applying genotyping (TILLING) and phenotyping analyses to elucidate gene function in a chemically induced sorghum mutant population. BMC Plant Biol. 2008, 8: 103-10.1186/1471-2229-8-103.PubMed CentralView ArticlePubMedGoogle Scholar
- Lamour KH, Finley L, Hurtado-Gonzales O, Gobena D, Tierney M, Meijer HJG: Targeted Gene Mutation in Phytophthora spp. Mol Plant-Microbe Interac. 2006, 19: 1359-1367. 10.1094/MPMI-19-1359.View ArticleGoogle Scholar
- Wienholds E, van Eeden F, Kosters M, Mudde J, Plasterk RH, Cuppen E: Efficient target-selected mutagenesis in zebrafish. Genome Res. 2003, 13: 2700-2707. 10.1101/gr.1725103.PubMed CentralView ArticlePubMedGoogle Scholar
- Till BJ, Zerr T, Comai L, Henikoff S: A protocol for TILLING and Ecotilling in plants and animals. Nat Prot. 2006, 1: 2465-2477. 10.1038/nprot.2006.329.View ArticleGoogle Scholar
- Altmann T, Gottwald S, Hohmann U, Holtgrawe D, Jung C, Lunn J, Stein N, Stitt M, Weisshaar SB: GABI-TILL: Establishment of a central platform for testing lead gene function in crops based on TILLING. GABI progress report. 2007, 54-57.Google Scholar
- Rogers SO, Bendich AJ: Extraction of DNA from plant tissues. Plant Molecular Biology Manual A6. Edited by: Gelvin SB, Schilperoort RA. 1988, Kluwer Academic Publisher, Dordrecht, Belgium, 1-10.Google Scholar
- Lin JJ, Kuo J: A new reagent for simple isolation of plant genomic DNA. Focus. 1998, 20 (2): 46-48.Google Scholar
- Krysan PJ, Young JC, Tax F, Sussman MR: Identification of transferred DNA insertions within Arabidopsis genes involved in signal transduction and ion transport. Proc Natl Acad Sci USA. 1996, 93: 8145-8150. 10.1073/pnas.93.15.8145.PubMed CentralView ArticlePubMedGoogle Scholar
- Kang TJ, Yang MS: Rapid and reliable extraction of genomic DNA from various wild-type and transgenic plants. BMC Biotech. 2004, 4: 20-10.1186/1472-6750-4-20.View ArticleGoogle Scholar
- Wheat cap: [http://maswheat.ucdavis.edu/protocols/general_protocols/DNA_extraction_003.htm]
- DNeasy® Plant Handbook. 2006, [http://www.qiagen.com]
- Lal L, Sahoo R, Gupta RK, Sharma P, Kumar S: RNA isolation from high-phenolic tea leaves and apical buds. Plant Mol Bio Rep. 2001, 19: 181a-181f. 10.1007/BF02772161.View ArticleGoogle Scholar
- Peterson DG, Boehm KS, Stack SM: Isolation of milligram quantities of nuclear DNA from tomato (Lycopersicon esculentum), a plant containing high levels of polyphenolic compounds. Plant Mol Bio Rep. 1997, 15: 148-153. 10.1007/BF02812265.View ArticleGoogle Scholar
- Liu Y, Roof S, Ye Z, Barry C, van Tuinen A, Vrebalov J, Bowler C, Giovannoni J: Manipulation of light signal transduction as a means of modifying fruit nutritional quality in tomato. Proc Natl Acad Sci USA. 2004, 101: 9897-9902. 10.1073/pnas.0400935101.PubMed CentralView ArticlePubMedGoogle Scholar
- Suzuki T, Eiguchi M, Kumamaru T, Satoh H, Matsusaka H, Moriguchi K, Nagato Y, Kurata N: MNU- induced mutant pools and high performance TILLING enable finding of any gene mutation in rice. Mol Gen Genom. 2008, 279: 213-223. 10.1007/s00438-007-0293-2.View ArticleGoogle Scholar
- Menda N, Semel Y, Peled D, Eshed Y, Zamir D: In silico screening of a saturated mutation library of tomato. Plant J. 2004, 38: 861-872. 10.1111/j.1365-313X.2004.02088.x.View ArticlePubMedGoogle Scholar
- Oleykowski CA, Bronson Mullins CR, Godwin AK, Yeung AT: Mutation detection using a novel plant endonuclease. Nucl Acid Res. 1998, 26: 4597-4602. 10.1093/nar/26.20.4597.View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.