Described is a protocol for developing a Targeting Induced Local Lesions IN Genomes (TILLING) population in small grain crops with use of ethyl methanesulfonate (EMS) as a mutagen. Also provided is a protocol for mutation detection using the Cel-1 assay.
Targeting Induced Local Lesions IN Genomes (TILLING) is a powerful reverse genetics tool that includes chemical mutagenesis and detection of sequence variation in target genes. TILLING is a highly valuable functional genomics tool for gene validation, especially in small grains in which transformation-based approaches hold serious limitations. Developing a robust mutagenized population is key to determining the efficiency of a TILLING-based gene validation study. A TILLING population with a low overall mutation frequency indicates that an impractically large population must be screened to find desired mutations, whereas a high mutagen concentration leads to high mortality in the population, leading to an insufficient number of mutagenized individuals. Once an effective population is developed, there are multiple ways to detect mutations in a gene of interest, and the choice of platform depends upon the experimental scale and availability of resources. The Cel-1 assay and agarose gel-based approach for mutant identification is convenient, reproducible, and a less resource-intensive platform. It is advantageous in that it is simple, requiring no computational knowledge, and it is especially suitable for validation of a small number of genes with basic lab equipment. In the present article, described are the methods for development of a good TILLING population, including preparation of the dosage curve, mutagenesis and maintenance of the mutant population, and screening of the mutant population using the PCR-based Cel-1 assay.
Point mutations in genomes can serve many useful purposes for researchers. Depending on their nature and location, these mutations can be used to assign functions to genes or even distinct domains of proteins of interest. On the other hand, as a source of novel genetic variation, useful mutations can be selected for desired traits using phenotyping screens and further used in crop improvement. TILLING is a powerful reverse genetics tool that includes chemical mutagenesis and detection of sequence variation in the target gene. First developed in Arabidopsis1 and Drosophilia melanogaster2, TILLING populations have been developed and utilized in many small grain crops such as hexaploid bread wheat (Triticum aestivum)3, barley (Hordeum vulgare)4, tetraploid durum wheat (T. dicoccoides durum)5, diploid wheat (T. monococcum)6 and the "D" genome progenitor of wheat Aegilops tauschii7. These resources have been used to validate the roles of genes in regulating abiotic and biotic stress tolerance8, regulating flowering time9, and developing nutritionally superior crop varieties5.
TILLING, along with the use of alkylating mutagenic agents such as ethyl methanesulfonate (EMS), sodium azide, N-methyl-N-nitrosourea (MNU), and methyl methanesulfonate (MMS), has advantages over other reverse genetics tools for several reasons. First, mutagenesis can be conducted on practically any species or variety of plant10 and is independent of the transformation bottleneck, which is particularly challenging in the case of small grains11. Second, in addition to generating knockout mutations that can be obtained by other gene validation approaches, a range of missense and splicing mutations can be induced, which can discern functions of individual domains of the proteins of interest12. Moreover, TILLING generates an immortal collection of mutations throughout the genome; thus, a single population can be used for functional validation of multiple genes. In contrast, other reverse genetics tools generate resources specific to only the gene under study13. Useful mutations identified through TILLING can be deployed for breeding purposes and are not subject to regulation, unlike gene editing, whose non-transgenic classification is still uncertain in many countries. This becomes especially relevant to small grains that are internationally traded14.
TILLING is a simple and efficient gene validation strategy and requires mutagenized populations to be developed for investigating genes of interest. Developing an effective mutagenized population is key to determining the efficiency of a TILLING-based gene validation study. A TILLING population with a low overall mutation frequency indicates that an impractically large population must be screened for desired mutations, whereas a high mutagen concentration leads to high mortality in the population and an insufficient number of mutagenized individuals. Once a good population is developed, there are multiple ways to detect mutations in the genes of interest, and the choice of platform depends on the experimental scale and availability of resources. Whole genome sequencing and exome sequencing has been used to characterize all mutations in TILLING populations in plants with small genomes15,16. Exome sequencing of two TILLING populations has been performed in bread and durum wheat and is available to the public for identifying desirable mutations and ordering mutant lines of interest17. It is a great public resource in terms of availability of desirable mutations; however, in gene validation studies, the wild-type line should possess the candidate gene of interest. Unfortunately, it is still cost-prohibitive to sequence the exome of the entire TILLING population for reverse genetics-based validation of a few candidate genes in another background. Amplicon sequencing and Cel-1-based assays have been used in detecting mutations in targeted populations in wheat, and Cel-1 assays are simpler, requiring no computational knowledge, and are especially suitable for validation of a small number of genes with basic lab equipment6,18.
In the present article, described are methods for the development of a good TILLING population, including preparation of the dosage curve, mutagenesis and maintenance of the mutant population, and screening of the mutant population using the PCR-based Cel-1 assay. This protocol has already been implemented successfully in developing and utilizing mutagenized populations of Triticum aestivum, Triticum monoccocum6, barley, Aegilops tauchii7, and several others. Included are explicit details of these methods along with useful tips that will help researchers develop TILLING populations, using EMS as a mutagen in any small grain plant of choice.
1. Preparation of dosage curve for effective mutagenesis
2. Mutagenesis and maintenance of mutant population
3. Cel-1 assay for genetic characterization of mutants
4. Calculation of mutation frequency
NOTE: Mutation frequency of a TILLING population refers to the average physical distance in which one mutation occurs in the individuals of that population. For example, a mutation frequency of 1/35 kb in a TILLING population means that an average individual of that population possesses 1 mutation per every 35 kb in the genome.
Figure 2 shows the dosage curve of hexaploid bread wheat cultivar Jagger, diploid wheat Triticum monococcum6, and a genome donor of wheat Aegilops tauschii7. The EMS doses for desired 50% survival rates were about 0.25%, 0.6% and 0.7% for T. monococcum, Ae. tauschii, and T. aestivum, respectively. The higher EMS tolerance of hexaploid wheat is due to its genome buffering capacity. However, despite both being diploid, EMS tolerance of T. monococcum was almost half that of Ae. tauschii. Therefore, these results underscore the importance of determining the appropriate EMS dose for individual genotypes of interest.
The presence of easily identifiable phenotypes in the M2 population confirms effectiveness of mutagenesis in small grain populations. The mutant phenotypes typically include albino, chlorina, stunted, grassy shoot, variegated, early/late flowering, partially fertile, and sterile. Figure 3 shows some typical mutant phenotypes obtained in TILLING populations.
The Cel-1 assay and agarose gel-based approach for mutant identification is convenient, reproducible, and less resource-intensive platform. Figure 4 shows a mutant identification using Cel-1 on agarose gel platforms. It should be noted that mutant DNA lanes contain unique patterns of cleaved band. The first round of 4x pool screening reduces labor needs, resources, and time expenditure. For instance, as shown in Figure 4A, one mutant pool was identified out of 12 pooled samples representing 48 individuals by performing PCR and the Cel-1 assay. The deconvolution of mutant pools determined the zygosity of mutation and helped track the mutation down to individual samples (Figure 4B,C). Figure 3B shows the detection of heterozygous mutations in the A4 pool, as unique, cleaved bands are present in both Box 4-A4 and Box 4-A4 + wild-type DNA samples. On the other, the H5 pool contained homozygous mutations, as unique, cleaved bands are only present in the Box 5-H5 + wild-type DNA sample.
Figure 1: Schematic of developing EMS-mutagenized TILLING populations in small grain crops. Please click here to view a larger version of this figure.
Figure 2: EMS dosage curve in three different species of wheat including Triticum aestivum, T. monococcum, and Aegilops tauschii. Please click here to view a larger version of this figure.
Figure 3: Mutant phenotypes (yellow arrows) in various small grain M2 TILLING populations. (A) An albino mutant in a barley M2 population, (B) chlorina mutant in a barley M2 population, (C) variegated mutant with pink discoloration in an Ae. tauschii M2 population, and (D) low tillering mutant in a T. monococcum M2 population. Please click here to view a larger version of this figure.
Figure 4: Mutant identification in 4x pools following deconvolution using the Cel-1 assay and agarose gel-based approach. Shown is the (A) mutant pool in lane 7 with unique cleaved bands, (B) deconvolution of the heterozygous mutant pool, detecting the mutation in the A4 sample of DNA Box 4 with unique cleaved bands in Box 4-A4 and Box 4-A4+ wild-type DNA samples, and (C) deconvolution of the homozygous mutant, detecting the mutation in the H5 sample of DNA Box 5 with unique cleaved bands only in the Box 5-H5+ wild-type DNA sample. Please click here to view a larger version of this figure.
Gene | Primer name | Primer sequence (5'-3') | Product size |
Waxy | Wx_AF | TCGCTCTGCATATCAATTTTGC | 1022 |
Wx_AR | GGAACTGGCAAGAAGGACTG | ||
Waxy | Wx_BF | GCGTCGTCTCCGAGGTACAC | 870 |
Wx_BR | GTCGAAGGACGACTTGAACC | ||
Waxy | Wx_DF | CCATGGCCGTAAGCTAGAC | 1124 |
Wx_DR | GTCGAAGGACGACTTGAACC |
Table 1: Primers for amplifying waxy genes in hexaploid wheat.
TILLING is a highly valuable reverse genetics tool for gene validation, especially for small grains where transformation-based approaches have serious bottlenecks11. Developing a mutagenized population with a high mutation frequency is one of the critical steps in conducting functional genomics studies. The most important step in developing a robust TILLING population is to determine the optimal concentration of EMS. The 40%-60% survival rate in the M1 has been found to be a good indicator of effectiveness of EMS mutagenesis in wheat and barley4,6,18. The surviving plants can provide decent mutation frequencies to help discover mutations in any gene of interest. In rice, fertility of the M1 plant is another determinant, in addition to survival of M1 plants, and is reported to vary among different genotypes20.
Hexaploid bread wheat and tetraploid durum wheat, on account of their polypoidy, have homoeoalleles in each genome for most of the genes, compensating for the loss-of-function of important genes due to mutations. This is known as genome buffering. Thus, polyploids can tolerate higher levels of EMS doses compared to diploids due to genome buffering21,22. However, it is known that tolerance of different diploid species to mutagens varies and may be regulated by diversity in genetic backgrounds. For example, Ae. tauschii showed a 55% survival rate at 0.6% EMS, whereas T. monococcum showed a 51% rate with 0.24% EMS; furthermore, any higher concentration in the latter species led to excessive plant death6,7. We have previously experienced that even in hexaploids, different cultivars tolerate different mutagen concentrations (data not shown). Furthermore, EMS tolerance varies significantly among different rice genotypes20. Therefore, it is highly recommended to obtain dosage curves for individual genotype of interest.
In order to analyze the efficacy of mutagenesis, several types of phenotypic mutants should be visible from the seedling stage to maturity of a TILLING population7,23,24. The phenotypic mutants to note include chlorina, albinos, variegated leaves, stunted, broad/narrow leaves, low/high tillering, early/late flowering, partially fertile, and sterile. Any deviation from the wild type phenotype represents a potential phenotypic mutant.
Since G and C are the primary target residues of EMS mutagenesis, there will be bias in the mutation frequencies of genes depending upon the GC content. A region with higher GC content will yield a high mutation frequency, whereas a region with low GC content will yield a low mutation frequency. To calculate the correct mutation frequency of a TILLING population, it is therefore suggested to obtain an average of two to three genes with varying GC content or normalize the rate of mutation to a 50% GC content13.
The Cel-1 assay and agarose gel-based protocol described here are simple methods that do not require expensive instrumentation or complex analysis. However, it should be noted that this method is only suitable and efficient for mutation detection in a few genes. For screening mutations in a larger set of genes, multiplex amplicon sequencing method is recommended3,24. For a detailed protocol on multiple amplicon sequencing method, readers can refer to Tsai et al.25 With advances in sequencing technology and reduced costs of sequencing, platforms such as exome capture have been used in characterizing mutations across a whole genome in the entire wheat TILLING population17. For plants with small genomes, even whole genomes of all individuals in the TILLING population can be sequenced15,16. However, the cost of screening all mutations in the individuals of a given TILLING population make it expensive perform whole-genome sequencing for a population developed for specific purposes. Therefore, for performing reverse genetics-based validation for a limited number of candidate genes in any laboratory with regular molecular biology instrumentation, Cel-1 based assays are a decent method of choice. Nonetheless, the choice of platform for detection of mutations is secondary to developing a TILLING population harboring multiple mutations throughout the genome. Therefore, the most critical step in the protocol is development of a robust TILLING population with a high mutation frequency.
The authors have nothing to disclose.
This work was supported by the USDA National Institute of Food and Agriculture, Hatch project 1016879 and Maryland Agricultural Experiment Station via MAES Grant No. 2956952.
96 well 1.1 ml microtubes in microracks | National Scientific | TN0946-08R | For collecting leaf tissues |
Agarose I biotechnology grade | VWR | 0710-500G | |
Biosprint 96 DNA Plant Kit | Qiagen | 941558 | Kit for DNA extraction |
Cel-1 endonuclease | Extracted as described by Till et al 2006 | Single strand specific endonuclease | |
Centrifuge 5430 R | Eppendorf | ||
Ethyl methanesulfonate | Sigma Aldrich | M-0880-25G | EMS, Chemical mutagen |
Freeze Dry/Shell freeze system | Labconco | For lyophilization of leaf tissue | |
Kingfisher Flex purification system | Thermo fisher scientific | 5400610 | High throughput DNA extraction robot |
My Taq DNA Polymerase | Bioline | BIO-21107 | |
Nuclease free water | Sigma aldrich | W4502-1L | |
NuGenius gel imaging system | Syngene | ||
Orbit Environ-shaker | Lab-line | ||
SPECTROstar Nano | BMG LABTECH | Nano drop for DNA quantification | |
T100 Thermal cycler | BIO-RAD | 1861096 |