Table 4.
Method | Type of mutagenesis applied | Type of mutation detected | Pros | Cons | Reference |
---|---|---|---|---|---|
TILLING | EMS, MNU, SA, γ-ray |
SNPs | High sensitivity; Provides the approximate location of the induced mutation; Detect induced and naturally occurring homozygous and heterozygous SNPs; Suitable for polyploids. | Require celery CEL I endonuclease for the mismatch detection; False negatives and positives (are low but exist). | McCallum et al., 2000; Till et al., 2003; reviewed in Barkley and Wang, 2008 and Taheri et al., 2017 |
TILLING-NGS | MNU, SA | SNPs | No require enzymatic digestion; High throughput; Time saving; Efficient in polyploids; Mutation detection in pools deeper than eight individuals. | Expensive; Needs multi-dimensional pooling; Can incorrectly identify DNA bases with high frequency which is not easy to identify due the amount of data produced; It is laborious to process, storage and analyze the data. | Kumar et al., 2017; reviewed in Taheri et al., 2017 |
TILLING-HRM | γ-ray | SNPs, indels | No require enzymatic digestion; High sensitivity; Time and cost saving. | Depends on good PCR instruments and dyes; Needs multi-dimensional pooling; More difficult to detect indels than substitutions; Sensitivity limited to amplicons <450 bp. | Li et al., 2018b; reviewed in Taheri et al., 2017 |
Exome capture | EMS | SNPs, indels | Large-scale mutation discovery; High-throughput; Cost-effective; Applicable in polyploids. | It is laborious to process, storage and analyze the data; Need transcriptome assembly in cases a reference genome is not available. | Henry et al., 2014; reviewed in Taheri et al., 2017 |
Eco-TILLING | Natural mutations |
SNPs | Provides the approximate location within a few base pairs of the induced mutation; Detect induced and naturally occurring homozygous and heterozygous SNPs; | Require CEL I endonuclease mismatch detection celery; False negatives and positives (are low but do exist). | reviewed in Barkley and Wang, 2008 |
MutMap | EMS | SNPs | Minimizes the number of crosses in crop species and required mutant F2 progeny. | Not suitable for plants without reference genome sequence (now improved by MutMap-GAP). | Abe et al., 2012; Takagi et al., 2013; Taheri et al., 2017 |
CRISPR-S | CRISPR/Cas9 | − | Enable a PCR-free, phenotype-based identification of genome-edited T0 plants, and a subsequent selection of transgene-free T1 plants. | Require a RNAi expression element incorporated into the CRISPR/Cas9. | Lu et al., 2017 |
PCR-based | CRISPR/Cas9 | short indels (± 1pb) | Accurately identify indel sizes down to ± 1 bp | Efficiency is affected by target sequence; Applicable only for mutation upstream to PAM | Biswas et al., 2019 |
Amplicon labelingbased |
CRISPR/Cas9 | short indels (± 1pb) | Accurately identify indel sizes down to ± 1 bp | Sometimes could not detected the exact nucleotide change needing sequencing to confirm. | Biswas et al., 2019 |