BioMed Research International
Volume 2017 (2017), Article ID 4816973, 7 pages
https://doi.org/10.1155/2017/4816973

Research Article

Specific-Locus Amplified Fragment Sequencing Reveals Spontaneous Single-Nucleotide Mutations in Rice OsMsh6 Mutants

Hairui Cui, Qiongyu Wu, and Bin Zhu

Institute of Nuclear-Agricultural Sciences/Key Laboratory of Chinese Ministry of Agriculture for Nuclear-Agricultural Sciences, Zhejiang University, Hangzhou 310029, China

Correspondence should be addressed to Hairui Cui; hrcui@zju.edu.cn

Received 26 January 2017; Accepted 6 April 2017; Published 15 May 2017

Academic Editor: Guangjie Liu

Copyright © 2017 Hairui Cui et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Genomic stability depends in part on an efficient DNA lesion recognition and correction by the DNA mismatch repair (MMR) system. We investigated mutations arising spontaneously in rice OsMsh6 mutants by specific-locus amplified fragment sequencing. Totally 994 single-nucleotide mutations were identified in three mutants and on average the mutation density is about 1/136.72 Kb per mutant line. These mutations were relatively randomly distributed in genome and might be accumulated in generation-dependent manner. All possible base transitions and base transversions could be seen and the ratio of transitions to transversions was about 3.12. We also observed the nearest-neighbor bias around the mutated base. Our data suggests that OsMsh6 (LOC_Os09g24220) is important in ensuring genome stability by recognizing mismatches that arise spontaneously and provides useful information for investigating the function of the OsMsh6 gene in DNA repair and exploiting MMR mutants in rice induced mutation breeding.

1. Introduction

The genome of a living organism is continuously subjected to a wide variety of genotoxic stresses from endogenous or exogenous DNA damaging agents during its lifecycle. Several DNA damage repair systems have been formed in the process of evolution, to sense, recognize, and eliminate the incurred damage to the genome [1–3]. The mismatch repair (MMR) is a major DNA repair pathway whose function is critical for maintaining genome stability and DNA replication fidelity by recognizing and repairing erroneous insertions, deletions, and misincorporation of bases during DNA replication, genetic recombination, and repair of some forms of DNA damage [4–7]. The major components in the MMR system include MutS, MutH, and MutL in Escherichia coli [8]. MutS forms a homodimer that recognizes and binds a mismatched base. MutL homodimer binds the MutS-DNA complex and acts as a mediator between MutS2 and MutH, resulting in MutH activation. The activated MutH nicks the unmethylated strand at the GATC site. Subsequently, the error-containing segment is removed by exonuclease and the gap is filled by a new strand synthesized by DNA polymerase III and DNA ligase [5, 7]. In eukaryotes, multiple homologues of MutS (MSH1–MSH7) and MutL (MLH1–3, PMS1, and PMS2) have been characterized, but not of MutH. Among them, MSH2 and MLH1 are the key monomers that form heterodimers with other MMR proteins, such as MSH2–MSH6 (MutSα), MSH2-MSH3 (MutSβ), MSH2–MSH7 (MutSγ), MLH1-PMS1 (MutLα, for humans, MLH1-PMS2), and MLH1–MLH3 (MutLγ) [9–13]. MutSα is mainly required to correct single base mispairs and short insertion/deletion loops, whereas MutSβ is predominantly involved in the removal of large insertion/deletion loops (2–12 nucleotides), and plant specific MutSγ preferentially recognizes certain base-base mismatches [11, 14]. Thus mutation or disruption of plant MutS and MutL genes may affect DNA mismatch repair, resulting in mutations in both morphology and DNA. MMR mutants showed an expected increased frequency of point mutations and genome instability in A. thaliana [15–18], rice [19], and tobacco [20]. Loss of the MMR activity in plants specifically affected morphology, fertility, and seed development in a generation-dependent manner [17, 21, 22].

Rice is an important food crop and a prominent molecular model species for monocotyledonous plants. Some MMR genes have been annotated in Rice Annotation Project Database. Based on comparative genomics, 12 MMR genes have been identified in rice using similarity searches and conserved domain analysis [23], one of which is OsMsh6 (LOC_Os09g24220), a homologue to AtMsh6 (At4g02070) in the MMR system of A. thaliana. However, the biological function of OsMsh6 awaits further investigation. In this study, we investigated the single-nucleotide mutations of rice OsMsh6 mutants by specific-locus amplified fragment sequencing (SLAF-seq) [24]. Our data indicates that frequency of single-nucleotide mutations is dramatically increased in OsMsh6 mutants and suggests that OsMsh6 is important in ensuring genome stability by recognizing mismatches arising spontaneously.

2. Materials and Methods

2.1. Plant Materials

By a BLAST search against flanking sequences in Rice Tos17 Insertion Mutant Database (http://tos.nias.affrc.go.jp), mutant seeds of LOC_Os09g24220 were introduced from National Institute of Agrobiological Sciences, Japan. Three homozygous insertion mutants of OsMsh6 (LOC_Os09g24220) derived from Nipponbare were obtained at T3 generation after molecular analyses, and the Tos17 insertion position is at 1st exon, 8th exon, and 3′-UTR in NF9010, NF7784, and ND6011, respectively [25, 26]. The wild type, Msh6WT without Tos17 insertion from the segregating generation, was also harvested and used as the control to eliminate the mutations caused by the somaclonal variation in mutants during the tissue culture.

2.2. Genomic DNA Extraction

The leaf tissues were sampled from Msh6WT and four independent lines for each mutant in different generations, termed as NF9010/G4 to NF9010/G7, NF7784/G4 to NF7784/G7, and ND6011/G4 to ND6011/G7, respectively. Genomic DNA was extracted according to the method described by Murray and Thompson [27]. DNA quality and concentration were evaluated using a NanoDrop ND-1000 spectrophotometer and 1.5% agarose gel electrophoresis.

2.3. SLAF-Seq

SLAF-Seq was conducted according to the method described by Sun et al. [24].

Genomic DNA was digested with the restriction enzyme HaeIII. The obtained fragment (SLAF tag) was processed to add A to 3′ end and connected to dual-index adapter [28]. After PCR amplification and purification, fragments mainly with 394–414 bp in size were isolated and then subjected to PCR amplification for sequencing by Illumina HiSeqTM2500. Main parameters related to SLAF tags developed and sequence data in this study were listed in Figure 1 and Table 1.

Table 1: SLAFs and sequencing data used in this research.

Mutant lines
SLAF numbers
Total depth
Average depth
Total reads
Q30 (%)
GC%

ND6011/G4
10,743
115,810
10.78
180,760
87.88
44.77

ND6011/G5
10,585
91,666
8.66
151,388
88.22
44.76

ND6011/G6
10,572
112,380
10.63
175,846
87.70
45.34

ND6011/G7
10,806
157,011
14.53
250,098
86.68
44.9

NF7784/G4
10,760
124,170
11.54
186,342
87.08
45.15

NF7784/G5
10,685
100,866
9.44
163,096
86.69
44.45

NF7784/G6
10,812
144,665
13.38
242,707
87.14
44.84

NF7784/G7
10,696
114,233
10.68
241,558
86.02
44.85

NF9010/G4
10,767
138,787
12.89
248,652
87.15
44.41

NF9010/G5
10,799
165,225
15.3
249,922
86.71
45.41

NF9010/G6
10,813
172,575
15.96
274,444
87.60
45.08

NF9010/G7
10,798
157,867
14.62
254,224
87.03
44.26

Msh6WT
10,688
177,207
16.58
266,006
88.72
45.27

Figure 1: Distribution of SLAF tags in genome. Each yellow row represents a chromosome. The color scale from yellow to black represents the number of SLAF tags (0 to 10): the deeper color, the higher number of SLAF tags.

2.4. SLAF-Seq Data Grouping and Sequence Comparison

The SLAFs were identified and filtered to ensure that the original sequencing data were effectively obtained. All SLAF pair-end reads with clear index information were clustered based on sequence similarity using BLAT [29]. The sequences with good quality from mutants at four generations and Msh6WT were compared to check the base variation. When a base from the sequence of mutants is different with Msh6WT, it is considered as a mutated base.

3. Results

3.1. Distribution of Mutated Bases and Mutation Density

After stringent filtering, polymorphic SLAF sequences were extracted and compared between mutant lines and Msh6WT. A total of 994 mutated bases were retained (Supplementary File in Supplementary Material available online at https://doi.org/10.1155/2017/4816973). This result suggests that spontaneous single-nucleotide mutations occur in OsMsh6 mutants. Among these mutations, 470 were found only in either of three mutants, whereas 278 and 46 were observed simultaneously in two and three mutants, respectively. These spontaneous mutations were found on all chromosomes and distributed as relatively random as SLAF tags in whole genome, but the mutation number was uneven on different chromosomes. The highest was found on chromosome 8 (299), followed by chromosome 12 (178), together accounting for nearly a half of all mutations, with less than 100 on each of another 10 chromosomes (Figure 2).

Figure 2: Number of mutated bases on different chromosomes.

The number of mutated bases discovered by SLAF-Seq varied with mutants and reproductive proceeding generations (Table 2). Totally more mutated bases were found in the mutants NF7784 and NF9010 than that in the mutant ND6011, and same situation was present at three of four generations, except for G6 generation. This may be related with the Tos17 insertion position which causes the disruption of OsMsh6 function in different degree. When we checked the number of mutated bases in different mutants at different generations, we observed the same tendency: the more reproductive proceeding generations, the more mutations. It is suggested that mutations can accumulate as the reproductive generations proceed.

Table 2: Number of mutations in different mutants at different generations.

Mutants
Generation
Mutated bases
Total length (Kb)
Mutation density (1/Kb)

ND6011
G4
15
4297
286.48

G5
21
4234
201.62

G6
188
4229
22.49

G7
219
4322
19.74

NF7784
G4
18
4304
239.11

G5
30
4274
99.40

G6
43
4325
144.16

G7
373
4278
11.47

NF9010
G4
14
4307
307.63

G5
24
4320
179.98

G6
36
4325
120.14

G7
513
4319
8.42

Taking the SLAF number (Table 1) and length described in the methods and the mutations detected, we calculated the density of single-nucleotide mutations for each mutant line (Table 2). It ranged from 1/8.42 kb to 1/307.63 kb, with an average about 1/136.72 Kb.

3.2. Mutation Spectrum

To explore the spectrum of spontaneous mutations in OsMsh6 mutants, we analyzed the number and characteristics of four kinds of mutated nucleotides (Table 3). The number of mutated A or T was a little more than expected, but mutated C was significantly less. Transition and transversion mutations accounted for about 3/4 and 1/4 of mutations, respectively. G and C showed higher transition ration than A and T. On average, about 82% of mutations were heterozygous, which is higher than expected. We also observed that the mutated base at same position was heterozygous in one mutant but homozygous in another mutant; this kind of mutations accounts for about 9.4% of total mutations.

Table 3: Number and characteristics of four kinds of mutated bases.

Mutated base
Number of mutations
Type of base substitution

Number
Homo.
Hetero.
Homo. & hetero.
Transition
Transversion
Ratio

A
272
27
214
31
198
74
2.68

C
250
29
201
20
194
56
3.46

G
208
16
171
21
166
42
3.95

T
264
14
229
21
195
69
2.80

Total
994
86
815
93
753
241
3.12

We also counted the number of different base substitutions (Table 4). All possible base transitions and transversions were found, indicating a wide mutation spectrum in OsMsh6 mutants. Similar frequency was observed for A → G, C → T, and T → C transitions, but a little low for G → A transition. A ↔ C and C ↔ G were the highest and lowest transversion mutations, respectively, while A ↔ T and G ↔ T transversion showed similar intermediate frequency.

Table 4: Spectrum of spontaneous mutations.

Base substitution
Events
Frequency (%)

A → G
198
19.92

C → T
194
19.52

G → A
166
16.70

T → C
195
19.62

A → C
41
4.12

C → A
31
3.12

A → T
33
3.32

T → A
30
3.02

C → G
25
2.52

G → C
20
2.01

G → T
22
2.21

T → G
39
3.92

3.3. Local Compositional Biases of Mutated Bases

When we examined nucleotide positions flanking the mutated bases, we detected deviations from random expectations on both sides (Table 5). 10 of 24 flanking positions for all mutated bases were found with significantly higher base bias than expected, which included six upstream sites and four downstream sites ().

Table 5: Ratios of observed/expected frequencies on either side of the mutated base.

Flanking base

Mutated base
+1
+2
+3

A
1.10
1.01
0.85
A
0.93
1.01
0.99

C
0.97
1.13
1.51
A
1.03
1.01
0.78

G
0.81
0.72
0.62
A
0.94
0.75
0.96

T
1.12
1.13
1.01
A
1.10
1.22
1.28

4.21
7.71
29.44

1.38
7.59
8.76

0.240
0.053

0.710
0.055
0.033

A
1.10
0.77
1.20
C
0.98
1.09
1.12

C
1.02
0.88
0.90
C
0.83
0.64
0.96

G
0.80
1.09
0.86
C
1.36
1.25
0.88

T
1.07
1.26
1.04
C
0.83
1.02
1.04

3.54
9.10
4.43

11.66
12.46
2.00

0.316
0.028
0.218

0.009
0.006
0.572

A
0.94
0.88
1.02
G
1.06
1.25
1.19

C
0.94
1.33
1.33
G
0.92
0.77
0.83

G
0.79
0.73
0.71
G
1.02
0.88
0.96

T
1.33
1.06
0.94
G
1.00
1.10
1.02

8.23
10.19
10.08

0.50
7.19
3.58

0.041
0.017
0.018

0.919
0.066
0.311

A
1.12
1.05
1.12
T
1.09
1.15
1.15

C
0.91
0.76
1.14
T
0.61
0.79
0.79

G
0.98
1.12
1.08
T
1.50
1.15
1.15

T
0.98
1.08
0.67
T
0.80
0.91
0.91

1.55
5.36
9.91

29.85
6.55
6.55

0.672
0.147
0.019

0.088
0.088

In general, frequency of purines (50.3%) flanking all mutations was almost equal to pyrimidines (49.7%), but the situation is different from upstream to downstream side. At upstream side the present frequency of purines (47%) was lower than that of pyrimidines (53%), while at downstream side the frequency (53.7%) of purines was higher than that (46.3%) of pyrimidines (Supplementary Table ). Different mutations, even within mutated purines or pyrimidines, showed different base bias patterns. For example, when the mutated base was A, C at −1 and T at +2 and +3 were more frequent, while C at +3 and G upstream and at +2 were less frequent; when the mutated base was G, A at +2 and +3, C at −1 and −2 and T at −3 were more frequent, whereas C at +2 and +3 and G a upstream were less frequent. After comparison with the expected frequency, we found 15 bases at 38 positions (Table 6) with the deviation frequency at least 15% less or more than that of random expectation.

Table 6: Bases with the deviation frequency at least 15%.

Mutated base
Flanking base
Position
Bias%

A
C

G

T

T
A

C

G

15.15

T

G
A

C

G

T

C
A

C

G

T

4. Discussion

It has been reported that MutS deficiency caused genome instability and increased mutation rates in Arabidopsis [16–18]. Suppression of MMR system through a dominant negative strategy also could produce high mutation rates in Arabidopsis [15] and rice [19]. In this study, we demonstrate that OsMsh6 deficiency resulted in spontaneous generation of a wide variety of single-nucleotide mutations. Therefore the mutated OsMsh6 can be regarded as a mutator which persisted during the life cycle of a plant and the stronger mutation effects can be expected compared with mutagen treatment. Indeed we detected 994 mutations in about 4.3 Mb sequences and on average the single-nucleotide mutation density is about 1/136.72 Kb for each mutant line. The result demonstrates that loss function of MutS is as efficient in producing point mutations in rice as that in Arabidopsis. As MMR is a conservative DNA repair pathway present in different organisms, our results suggest that the OsMsh6 gene plays an important role in mismatch repair in rice. The higher heterozygous mutations observed in our experiments might be the newly arising and unrepaired ones.

Instead of causing DNA damage by chemical and radiation treatments, negative regulation of the DNA repair system is expected to have the same effects on mutant production. Thus, the DNA mismatch repair system (MMR) might be a good target for establishing induced mutation system. As a chemical mutagen, ethyl methane sulfonate (EMS) has been widely used for generating point mutations to enhance genetic diversity in plants. EMS treatment almost exclusively produced G:C to A:T base substitution in some specific genes of Arabidopsis thaliana and maize [30, 31]. In addition to the large number of mutations, we found all possible base transition and base transversion mutations in OsMsh6 mutants. Our results indicate a wider spectrum of spontaneous mutations caused by disruption of OsMsh6 gene in rice, and the mutation spectrum is different from that induced by EMS. Therefore, the manipulation of MMR repair process might produce different mutation types from those produced by mutagenic treatment.

Many varieties and a large number of mutants have been obtained through induced mutation approach, but the mutation in most of them is involved in single gene or few loci. In C. elegans, multigeneration propagation of parallel MSH2-deficient subcultures resulted in relatively rapid accumulation of microsatellite shifts and elevated reversion of a dominant point mutation [32]. In Arabidopsis, the fifth-generation lines of Atmsh2-1 mutant rapidly accumulated microsatellite mutations and a wide variety of abnormalities in morphology and development, fertility, germination efficiency, seed development, and seed set [17]. Consistent with these two reports, we observed significant variations in several agronomic traits of OsMsh6 mutants in our previous study [25, 26] and we also found that single-nucleotide mutations could be accumulated in generation-dependent manner in this study. The generation-to-generation accumulation of mutations caused by MMR-deficiency is helpful to obtain the mutant with multiple locus mutations or phenotypes. This may be important when alteration of a multiple locus trait is desired, because mutagen treatment sufficient to introduce the necessary multiple mutations might bring unacceptable damage to organism. The combination of these two strategies may be great potential to obtain higher mutation frequency and to improve the effectiveness of induced mutation breeding.

5. Conclusion

We analyzed the spontaneous single-nucleotide mutations in rice OsMsh6 mutants. Results suggest that OsMsh6 is important in ensuring genome stability by recognizing mismatches that arise spontaneously. Our data provides useful information for investigating the function of the OsMsh6 gene in DNA repair and exploiting MMR mutants in induced mutation breeding in rice.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

Hairui Cui conceived and designed the experiments. Qiongyu Wu and Bin Zhu performed the experiments. Hairui Cui and Qiongyu Wu analyzed the data and Hairui Cui wrote the manuscript.

Acknowledgments

The authors would like to thank Dr. Qingyao Shu, College of Agriculture and Biotechnology, Zhejiang University, for providing original seeds of mutants. The study was supported by the National Key Research and Development Program of China (2016YFD0102103) and the National Natural Science Foundation of China (11175154).

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