
Rice (
Pasting viscosity, gel consistency (GC), and gelatinization temperature (GT) are examples of other significant factors affecting ECQ of milled rice grains (Pang
Using the ASV assay, the involvement of the rice starch biosynthesis genes in controlling GT was established with the genetic mapping of a major gene,
In this study, we screened a
Screening for rice mutants with altered alkali spreading value (ASV) or alkali digestion trait was performed using a population derived from sodium azide seed mutagenesis of the
Exon capture was performed using the MYbaits® platform (MYcroarray, Ann Arbor, MI, USA). A capture reagent consisting of 19,748 custom biotinylated RNA probes (i.e. baits) with about 2.85X tiling density was designed and generated by MYcroarray (now Arbor Biosciences) from a set of 321 rice genes that were selected to cover various biosynthetic pathways and gene families of interest to our research program (Kim and Tai 2019). The gene set included starch biosynthesis genes (Kharabian-Masouleh
Sequencing of the captured libraries was performed using the Illumina HiSeq2500 (3% of a lane; SR50 run) and HiSeq4000 (5% of a lane; PE150 run) platforms. Candidate mutations were detected using the Mutation and Polymorphism Survey tool with parameter 10 threads, minimum of 6 libraries, minimum coverage of 20, maximum coverage of 2000 (Henry
The putative candidate mutation identified by exon capture and next-generation sequencing were validated by Sanger sequencing of PCR products spanning those mutations. Sanger sequencing was also used to confirm the F1 of crosses made between mutants (M4 generation) and with wild type Kitaake. Given the relationship of the
Reciprocal crosses between the KDS-1824B mutant and the wild type progenitor variety Kitaake were performed to examine the mode of inheritance of its altered alkali digestion trait. Approximately 100 F2 seeds from a single F1 plant of each cross were husked using a laboratory rice sheller (TR200; Kett US, Villa Park, CA, USA) and then milled using a Pearlest grain polisher for 1 minute. Single milled F2 grains (n = 48) for each F1 were placed in individual wells of a 24 well culture plate (MP Biomedicals LLC, Solon, OH, USA) and each well was filled with 1 mL of freshly prepared 1.7% KOH solution. Plates were incubated at 30°C for 23 hours before visual evaluation (Supplementary Fig. S1). The segregation ratio of wild type to mutant ASV was subjected to Pearson’s c2 test for goodness-of-fit to the single recessive gene mode of inheritance.
In order to identify rice mutants with altered grain quality phenotypes, a modified alkali digestion assay (i.e. alkali spreading value [ASV] test) was employed to screen a population of Kitaake rice mutants derived from sodium azide mutagenesis. Initial screening was performed by evaluating the digestion of three milled M3 grains from each of 405 M2 families, representing 235 independently mutagenized M1 plants. Preliminary evaluation of Kitaake, the progenitor wild type variety of the mutant population, revealed similar ASV (low gelatinization temperature [GT] type) at both 20°C and 30°C and the initial screening was performed at the lower temperature for convenience. Grain appearance and digestion was visually rated as described by Little
Preliminary evaluation resulted in the identification of 42 M2 families with putative altered alkali digestion compared to Kitaake based on the ASV score and differences in grain appearance. Of these 42 families, the milled grains of 32 families exhibited heterogeneous digestion phenotypes while those of 10 families were uniform in their appearance after the digestion with 1.7% KOH. Among the 10 families, two were rated as exhibiting a higher ASV than Kitaake (ASV = 7) and were derived from the same M1 individual (KDS-1578A and KDS-1578C). The remaining eight lines appeared to have lower ASV ratings and less disintegration than Kitaake. Of these lines, two were most clearly distinct from Kitaake. KDS-1623B milled grains exhibiting no apparent change in shape (ASV = 2) and KDS-1824B milled grains exhibiting a high-intermediate/intermediate GT type (ASV = 3.7) (1). A phenotype similar to KDS-1824B was observed among two lines exhibiting heterogeneous digestion, KDS-1835B and KDS-1835C, which are derived from the same M1 individual (Supplementary Fig. S2). These results were consistent with homozygous mutations in KDS-1623B and KDS-1824B and heterozygous mutations in the sibling M2 lines KDS-1835B and KDS-1835C underlying the altered alkali digestion trait observed in these lines. Following confirmation of the initial observed phenotypes for these mutant lines by testing additional M3 milled grains, KDS-1623B and KDS-1824B were selected for further genetic analysis due to the likelihood that the underlying mutations in these lines were homozygous.
Visual evaluation of representative brown rice grains from Kitaake and the KDS-1623B and KDS-1824B mutants indicated that the grains from the two mutants are smaller than the wild type (Fig. 2). For each genotype, twenty randomly selected seeds from two representative plants (n = 40) were dehulled and grain widths, lengths, and weights were measured and the means and standard deviations (SD) determined (Table 1). Statistically significant differences were detected among the group means for each of the traits using one-way ANOVA (
As we reported previously, an in-solution target enrichment and next generation sequencing approach was employed using the MYbaits® platform in order to examine the utility of targeted exon capture and sequencing for identifying candidate mutations (Kim and Tai 2019). Custom biotinylated RNA probes were designed from 321 genes of interest including sixteen involved in starch biosynthesis (Kharabian-Masouleh
Single nonsynonymous homozygous point mutations were detected in three genes in the KDS-1623B mutant (Table 2). One of these genes is
The inheritance of the low ASV mutant phenotypes was examined by performing crosses between the mutants and the wild-type progenitor Kitaake. In the case of crosses with KDS-1623B, M3 generation mutants were used as the female parents only because of their poor fertility. F1 seeds were obtained from crosses in which the KDS-1623B parent was sterile or low fertility. True F1 hybrids were confirmed by sequencing of the KDS-1623B mutant SNP. An F2 population (n = 122) from one F1, which was derived from a cross involving a sterile KDS-1623B maternal parent, was grown for genotyping by Sanger sequencing and to produce F3 sseeds for phenotypic evaluation. Of the 122 F2 plants, 85 produced seeds and 37 were sterile. These observed segregation ratios did not significantly deviate from those expected for a single gene recessive mutation conferring sterility (c2 = 1.847, df = 1,
To further genetically characterize the KDS-1824B mutant, reciprocal crosses were made to Kitaake. F2 seeds (n = 48) were randomly selected from a representative F1 plant from each cross and the dehulled grains were phenotyped using the ASV assay resulting in the identification of 35 wild type (high ASV) and 13 mutant (low ASV) grains from the Kitaake/KDS-1824B F1 (segregation ratio of 2.7:1) and 36 wild type and 12 mutant from the KDS-1824B/Kitaake F1 (segregation ratio of 3:1). The segregation ratios observed from both populations were consistent with a single gene recessive mutation conferring the altered alkali digestion trait observed in KDS-1824B (c2 = 0.111, df = 1,
ECQ of rice is governed primarily by AAC and other physico-chemical properties of starch such as GC and GT (Pang
In this study, we used a modified ASV assay to evaluate milled grains from M2 mutants derived from the low GT type rice variety Kitaake. Three M2 families exhibiting low ASV scores (i.e. higher GT type) compared to wild type Kitaake were identified, two of which appeared to be fixed (i.e. homozygous) for the mutant phenotype based on the uniform appearance and response of the milled grains to the dilute alkali solution (KDS-1623B and KDS-1824B). Exposure to the 1.7% KOH had almost no effect on the KDS-1623B grains which exhibited shrunken endosperms characteristic of the
Milled grains of the KDS-1824B mutant exhibited ASV ratings corresponding to high intermediate/intermediate GT type. While the same average width as Kitaake, KDS-1824B brown rice grains were shorter and weighed about 13% less. Initial genetic analysis indicates that a single recessive gene mutation underlies the altered alkali digestion trait observed in this mutant and F2 populations are being grown for genotyping and phenotyping of F3 seeds. While the targeted exon capture and sequencing approach was successful in identifying the likely causal mutation in KDS-1623B, the KDS-1824B mutant was not included in this pilot experiment due to sample limitations (Kim and Tai 2019). Given the limited number of starch-related target genes included in the capture reagent, a mutation mapping approach (Abe
This work was supported by funds from USDA-ARS Agricultural Research Project 21000-2032-023-00D to T.H.T. We thank Sarah C. Magee for technical assistance and the Rice Experiment Station (Biggs, CA) for the use of their VIBE QM3 Rice Analyzer.
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Dehulled grain width, length, and weight of wild type and low ASV mutantsz)
Accession | Width (mm) | Length (mm) | Weight (mg) |
---|---|---|---|
Kitaake | 3.13 ± 0.12a | 5.08 ± 0.19a | 22.58 ± 1.57a |
KDS-1623B | 2.75 ± 0.16b | 4.74 ± 0.20b | 9.58 ± 0.66b |
KDS-1824B | 3.15 ± 0.19a | 4.47 ± 0.19c | 19.02 ± 1.50c |
z)Values shown are means ± SD of 40 seeds. Significant differences between mean values for each trait are indicated by different letters (Bonferroni-corrected posthoc t-test,
Homozygous nonsynonymous mutation detected in KDS-1623B by target enrichment and next generation sequencing.
Accession | Readsz) (106) | Coveragey) | Gene | Locus IDx) | Mutationw) | Effectv) |
---|---|---|---|---|---|---|
Kitaake | 102.84 | 65.11 | - | - | - | - |
KDS-1623B | 103.47 | 65.51 | LOC_Os08g40930 | G2709T | V354L | |
LOC_Os08g45030 | C1213T | A321V | ||||
LOC_Os10g38740 | G1103A | E149K |
z)Total number of aligned reads on target.
y)Coverage on target (i.e., number of times target region covered by sequencing).
x)Locus identification from
w)Nucleotide base change and position in the genomic DNA from the start codon.
v)Predicted amino acid change and position in the protein.
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