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SPR9 encodes a 60 S ribosomal protein that modulates panicle spreading and affects resistance to false smut in rice (Oryza sativa. L)

Abstract

Background

The architecture of inflorescence in crops is a key agronomic feature determining grain yield and thus has been a major target trait of cereal domestication.

Results

In this study, we show that a simple spreading panicle change in rice panicle shape, controlled by the Spreading Panicle 9 (SPR9) locus, also has a significant impact on the resistance to rice false smut (RFS). Meanwhile, we mapped a novel spr9 mutant gene between markers Indel5-18 and Indel5-22 encompassing a genomic region of 43-kb with six candidate genes. Through gene prediction and cDNA sequencing, we confirmed that LOC_Os05g38520 is the target gene in the spr9 mutant, which encodes 60 S ribosomal protein L36-2. Further analysis showed that the spr9 mutant is caused by a 1 bp deletion in the first exon that resulted in premature termination. Knockout experiments showed that the SPR9 gene is responsible for the spreading panicle phenotype of the spr9 mutant. Interestingly, the spr9 mutant was found to improve resistance to RFS without affecting major agronomic traits. Taken together, our results revealed that the spr9 allele has good application prospects in rice breeding for disease resistance and panicle improvement.

Conclusions

We report the map-based cloning and functional characterization of SPR9, which encodes a 60 S ribosomal protein that regulates spreading panicles and affects the resistance to false smut in rice.

Peer Review reports

Background

Plant inflorescence configuration is a key agronomic factor affecting mine grain yield and a major target for crop domestication and improvement [1]. Understanding the genetic basis of crop inflorescence structure will not only help to clarify the evolutionary mechanism of crops but also help to improve crop yield.

Rice (Oryza sativa. L) is one of the most important food crops in the world, and its panicle morphological development and molecular regulation mechanism have been the focus of research. In recent years, some progresses have been made in the study of panicle development of rice, a monocot model plant, but it is far less detailed than that Arabidopsis thaliana [2]. The panicle formation process of rice is a complex physiological and biochemical process involving axillary meristem development, inflorescence structure building and grain development. The in-depth study of panicle formation will not only help to reveal the regulatory mechanism of panicle morphogenesis but also provide theoretical guidance for the improvement of panicle type in rice [3]. Genes related to rice panicles, such as Gn1a/OsCKX2 [4], DEP1 [5, 6], GNP1/GA20ox1 [7], IPA1/WFP/OsSPL14 [8, 9], NPT1/OsOTUB1 [10], GS3[11], TGW6[12], GW8/OsSPL16 [13], GW7/GL 7 [14], GLW7/OsSPL13 [15], GS2/GL2/OsGRF4 [16,17,18], GW2 [19], and GW5 [20], have been successfully cloned.

Transition from a spread panicle typical of ancestral wild rice (Oryza rufipogon Griff.) to the compact panicle of present cultivars (Oryza sativa L.) was a crucial event in rice domestication [21]. In recent years, a number of panicle spreading-related genes or QTLs were mapped using different genetic populations, such as spr1 [22], spr2 [23], spr3 [24], spr4 [25], spr5 [26], spr8 [27] and OsLG1 [1]. However, of these localized genes or QTLs, only OsLG1 was successfully cloned as the SPR3 locus [21]. OsLG1 is a squamosa promoter binding protein (SBP) domain transcription factor that controls leaf tongue development in rice, had a significant influence on seed florescence and pollination (self-cross or outcross mode) [1, 24]. Further studies demonstrated that a single nucleotide polymorpho-6 (SNP6) in the 11 kb cis-regulatory region upstream of the transcriptional start site of OsLG1 gene resulted in a compact panicle type in cultivated rice during rice domestication, but it did not change its expression in the leaf tongue, resulting in a compact panicle type and normal leaf tongue development in cultivated rice [1, 21].

Rice false smut (RFS) caused by Ustilaginoidea virens (U. virens), a unique flower-infecting fungal pathogen, has emerged as a serious grain disease in rice production worldwide. The disease not only causes a significant yield loss (up to 40%) but also produces various types of mycotoxins that contaminate rice grains and decrease the grain quality [28,29,30].

In recent years, although some studies have speculated that RFS is related to rice panicle traits, especially to the traits of large panicle, erect panicle and dense panicle [30, 31], but no specific related studies have been conducted to further prove this speculation. In this study, SPR9, a novel gene associated with spike development, was identified in the spr9 mutant of R20-1 background. We analysed the genetic characteristics of the spr9 mutant, mapped spr9, and found that the spr9 gene contains a 1-bp deletion (T), leading to the loss of function of the SPR9 gene. Interestingly, the spr9 mutant altered the resistance to RFS. These results indicate that spr9 has excellent potential application prospects in rice disease resistance breeding and spike-type improvement breeding.

Methods

Plant materials

Indica rice R20-1, which contains Pigm-1 [32] and japonica Hui1586 [33], was cultivated by the Rice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, China. In 2018, we planted approximately 600 plants of the M1 population treated by ethyl methanesulfonate (EMS) and approximately 10,000 plants of the M2 population, at the Sanya Experimental Station and Fuzhou Experimental Station, Fujian Academy of Agricultural Sciences, respectively. The M2 population was screened, and a spreading panicle mutant was obtained and named spreading panicle 9 (spr9).

In the summer of 2020, the spr9 mutant was crossed with rice varieties R20-1 and Hui1586 as pollen donors. F1 seeds were sown in the spring at the experimental station in Sanya, Hainan Province, and F2 seeds were harvested in 2021. The F2 seeds, the spr9 mutant and R20-1 were planted at Fuzhou Experimental Station in Fujian Province in the summer of 2021. Hui1586 and the three knockout transgenic lines were planted at Fuzhou Experimental Station in Fujian Province in July 2022. The main agronomic traits, including plant height, panicle length, effective panicle number, spikelets per panicle, seed setting rate, 1000-grain weight, grain length and width, were investigated at the maturity stage. The segregation ratios of mutants versus the wild type were examined after maturity.

All plants were grown according to standard commercial procedures with spacing between rows of 13.3 and 26.4 cm, and field management was carried out according to normal field management practices.

RFS inoculation and disease scoring

To evaluate the resistance to RFS disease between the spr9 mutant and the wild type R20-1, inoculation methods were performed according to Song et al. with minor modifications [34]. Approximately 2 ml of the U. virens hyphae/conidia (106 ml− 1) suspension in potato sucrose broth (PSB) was injected into a single rice panicle from the middle to the upper part at the late booting stage (3–5 days before heading) using an 18 gauge needle in a greenhouse. The liquid filled most of the panicle space. Three replications were carried out, three panicles of each individual plant were artificially inoculated. Inoculated plants were kept in a greenhouse at 27 °C with 90–100% RH for 7 days. Then, they were placed at 27 °C and 80% RH until RFS symptoms appeared.

According to the suggestion of a previous study [35], the incidence grade of RFS was divided into 6 grades, with no diseased grain per panicle as grade 0, 1 diseased grain per panicle as grade I, 2 diseased grains per panicle as grade II, 3–5 diseased grains per panicle as grade III, 6–9 diseased grains per panicle grain as grade IV, and > 10 diseased grains per panicle as grade V.

Construction of the mapping population

The spr9 mutant (indica) was crossed with Hui1586 (japonica) to obtain a mapping population. The F2 population was constructed by selfing the F1 population, and the mutant phenotypes of 1452 individual plants in the F2 population were selected for accurate mapping.

Development of molecular markers

Insertion-deletion (InDel) markers were designed by manual comparison of genome sequences between japonica (cv. Nipponpare) and indica (cv. 93 − 11), and primers were designed to map the polymorphic regions of rice subspecies using Primer Premier 5.0.

PCR amplification and molecular marker detection

Plant DNA and DNA amplification was performed by polymerase chain reaction (PCR) with minor modifications [36]. The PCR products were separated by 8% polyacrylamide denaturing gel electrophoresis, and the molecular markers were stained with silver [37].

Bulked segregant analysis

Markers of target genes were identified by bulked segregant analysis. Leaf DNA of 20 mutant plants randomly selected from the F2 population were used for construction of a mutant DNA library. SSR markers distributed in the rice genome were used to amplify the spr9 mutant DNA, and Hui1586 DNA was used as a control for linkage detection. The marker band of the mutant gene was the same as the marker band of the spr9 mutant.

Molecular mapping of the spr9 gene

The band types of the mutant (spr9 spr9) and wild type (SPR9 SPR9) were denoted as 1 and 3, respectively; 2 was used to represent a heterozygote (spr9 SPR9). Linkage analysis was performed using MAPMAKER version 3.0 software [38], and the linkage map was basically the same as the linkage map reported previously [39].

First, 326 SSR markers were screened from the rice molecular map to study the polymorphisms of spr9 and Hui1586. The results indicated that 253 pairs of primers showed polymorphism. Twenty plants with mutant phenotype and 20 plants like wild type selected from the F2 population, respectively, and linkage analysis of the spr9 locus was performed using these 253 polymorphic markers. Second, to narrow the mapping region, we identified 1452 mutants from the F2 population of spr9 × Hui1586. By comparing Nipponbare and the indica cultivar 93 − 11 (http://www.elabcaas.cn/rice/index.html), InDel markers in the open rice genome sequence were designed to predict the likelihood of polymorphism between spr9 and Hui1586.

Bioinformatics analysis

Candidate genes were predicted based on existing sequence annotation databases (http://rice.plantbiology.msu.edu/; http://www.tigr.org/). Clones were fixed on the target gene combination mark with the basic local alignment search tool (BLAST) in pairs (https://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastn&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome) for sequence alignment. The DNA sequences of spr9 and SPR9 were used for a complete alignment with Clustal X version 1.81.

CRISPR mediated editing

The CRISPR-plant database and website were used to design gRNA spacer sequences with high specificity (Supplementary Table 1) [40]. A gRNA interval spanning the first exon of the gene was used to target the SPR9 gene of Hui1586. The transformation and identification of the edited rice lines were performed by Wuhan Boyuan Technology Company. After obtaining the edited transgenic plants, PCR products of transgenic CRISPR-edited lines were sequenced to identify specific mutations [41]. Primers for the CRISPR/Cas9 study are listed in Supplementary Table 1.

GFP fusion and subcellular localization

A GFP-SPR9 fusion was constructed 35 S: SPR9-pSuper1300-GFP and transformed to Agrobacterium tumefaciens GV3101, which was used to infiltrate tobacco leaves, and the expression of GFP was observed by laser confocal microscopy (Zeiss 880) .

Results

Analysis of the main agronomic traits of spr9

To elucidate the regulatory genes involved in spike development in rice, we screened and obtained a spr9 mutant with changes in spike traits in the R20-1 background, which displayed a spread panicle (Fig. 1a) and the corresponding wild type gene was named Spreading Panicle 9 (SPR9). Phenotype comparisons between the spr9 mutant and wild-type R20-1 are shown in Table 1. The results showed that there were no significant differences in plant height, panicle length, effective panicle number, number of grains per panicle, seed setting rate, 1000-grain weight, grain length or grain width between the spr9 mutant and the wild type (Fig. 1b-I and Supplementary Table 2).

Fig. 1
figure 1

Phenotypic comparison of the spr9 mutant and wild type R20-1. a: The spr9 mutant showed the phenotype of spreading panicles compared with R20-1. b, c, d, e, f, g, h, and i indicate no differences in plant height, panicle length, number of effective panicles, spikelets per panicle, seed setting rate, 1,000-grain weight, grain length and grain width between R20-1 and the spr9 mutant, respectively

Table 1 Segregations of spreading panicle phenotype of the F2 populations produced from crossing of the spr9 mutant and R20-1

Resistance analysis of RFS between the spr9 mutant and R20-1

A certain relationship was proposed between rice panicle type and the resistance level of RFS [30, 31]. To further compare whether there is a difference in resistance in RFS between the spr9 mutant and R20-1, we inoculated the spr9 mutant and R20-1 plants by manual injection, and each material was set up in triplicate. The experimental results showed that the disease score of the spr9 mutant was 3 and that of R20-1 was 4, further suggesting that the spr9 mutant exhibited more resistance to rice smut than the R20-1 control (Fig. 2a and b).

Fig. 2
figure 2

Disease symptoms of the spr9 mutant and R20-1 infected by U. virens. a: Rice smut resistance of the spr9 mutant and R20-1 plants using injected inoculation in a greenhouse. Three replications were carried out, each individual was artificially inoculated with U. virens in three panicles. Inoculated plants were kept in a greenhouse at 27 °C with 90–100% RH for 7 days. Then, they were placed at 27 °C and 80% RH until rice false smut symptoms appeared. b: The disease score of the spr9 mutant is 3 and that of R20-1 is 4. The spr9 mutant exhibited more resistance to rice smut than R20-1. Asterisks indicate statistical significance (p < 0.01) determined by Student’s t-test

Genetic analysis of the spr9 mutant

To determine the genetic mode of spr9 mutant, we generated two kinds of hybrid F1 plants by crossing spr9 mutant with R20-1 and R20-1 with spr9, respectively. Both kinds of F1 plants showed same panicle phenotype as the wild type, indicating that the spr9 was recessive heredity and independent of cytoplasm (Table 1). Then in the two F2 populations, we found that the panicle phenotype of plants as spr9 mutant and R20-1 wild type fits a 1:3 segregation ratio (χ2 = 0.118~0.386, P > 0.5), implying a single gene controlled the spr9 mutant phenotype. Together, these results indicate that the spr9 mutant is genetically controlled by a single recessive gene.

Preliminary molecular mapping of the spr9 gene

To determine the gene underlying the spr9 mutant, we further conducted a gene mapping population by crossing the spr9 mutant with the japonica rice cultivar Hui1586. Total of 253 SSR markers showed polymorphism between spr9 and Hui1586 were obtained. Among these polymorphic markers, RM8211, on chromosome 5, showed a complete co-segregation with mutant phenotype in the selected 20 F2 plants with mutant phenotype and 20 plants with wild type phenotype. Furthermore, 193 recessive plants from the F2 population were genotyped by RM8211 and RM5970, recombinant plants were found, verifying the linkage relationship between the marker and spr9 mutant phenotype. Subsequently, we found one other polymorphic marker RM5970, located on chromosome 5, also showed linkage with spr9 mutant phenotype. The recombinants identified from RM8211 all showed homozygous genotype as spr9 mutant at the RM5970 locus, and the recombinants from RM5970 presented heterozygous or wild homozygous genotype at RM8211 locus, therefore, we preliminarily mapped the spr9 gene into the region of RM8211 and RM5970. Thus, spr9 was preliminarily located in a 16.5 cM region between SSR markers RM8211 and RM5970 on chromosome 5 (Fig. 3a).

Fig. 3
figure 3

Physical maps and structural comparison of the spr9 gene. a: Primary mapping of the spr9 gene. The gene was mapped to the region between the markers RM8211 and RM5970. b: Further mapping of the spr9 gene. The gene was mapped to the region between commonmarkers RM1090 and RM1187. c: Accurate mapping of the spr9 gene. The spr9 was mapped to the region between markers Indel15-5 and Indel15-6 selected from 10 newly developed InDel markers. d: Fine mapping of the spr9 gene. The spr9 was localized to a 43-kb region between the markers Indel15-18 and Indel15-22 selected from 21 newly developed InDel markers, and the recombinant number between the markers and target genes is indicated under the linkage map. e: Candidate genes in the 43-kb target region. f: SPR9 has three exons, and spr9 exhibits a 1 bp deletion in the first exon

Fine mapping of the spr9 gene

To localize the spr9 gene in a smaller region, we constructed a genetic map between RM8211 and RM5970. Two pairs of polymorphic primers RM1090 and RM1187 were screened from the common primers between RM8211 and RM5970. Furthermore, 193 recessive plants from the F2 population were genotyped by RM1090 and RM1187, recombinant plants were found, verifying the linkage relationship between the marker and spr9 mutant phenotype, spr9 was located between the RM1090 and RM1187 molecular markers, and the distance between the two molecular markers was 5.9 cM (Fig. 3b). To further localize the spr9 gene, 1452 recessive plants from the F2 population were genotyped by Indel5-3, Indel5-5, Indel5-6 and Indel5-10 (Table 2), recombinant plants were found, verifying the linkage relationship between the marker and spr9 mutant phenotype. The localization results showed that the spr9 gene was located between the molecular markers Indels 5–5 and 5–6, and the physical distance between the two markers was 477 kb (Fig. 3c; Table 2). To accurately locate the spr9 gene, 1452 recessive plants from the F2 population were also genotyped by 10 polymorphic InDel markers Indel5-12, Indel5-15, Indel5-16, Indel5-18, Indel5-20, Indel5-22, Indel5-25, Indel5-26, Indel5-29 and Indel5-31 (Table 2), recombinant plants were found, verifying the linkage relationship between the marker and spr9 mutant phenotype. The result showed 10 polymorphic InDel markers were detected 20, 9, 3, 1, 0, 1, 4, 8, 12 and 35 recombinant plants, respectively (Fig. 3d). Therefore, we accurately located the spr9 gene between the Indel5-18 and Indel5-22 molecular markers, and the physical distance between them was 43-kb (Fig. 3d).

Table 2 InDel and SSR molecular markers used for fine mapping of the spr9 gene

Candidate gene analysis in the 43-kb region

The functions of six candidate genes were annotated (LOC_Os05g38500, LOC_Os05g38510, LOC_Os05g38520, LOC_Os05g38530, LOC_Os05g38540 and LOC_Os05g38550) in this 43-kb region (Fig. 3e). According to the database annotation, the results showed that each of the six candidate genes had a corresponding full-length cDNA.

To find which gene is responsible for the mutant phenotype, we sequenced the above six genes in R20-1 and the spr9 mutant, and the results showed that there was only a 1-bp deletion (T) (LOC_Os05g38520) between wild-type R20-1 and the spr9 mutant (Fig. 3f). No difference were observed in the sequences of other five genes. Therefore, we hypothesized that LOC_Os05g38520 corresponds to SPR9. Open reading fragment analysis showed that the SPR9 gene (LOC_Os05g38520) had three exons and two introns (Fig. 3f).

The spr9 gene is responsible for the spread panicle phenotype

To determine the phenotype of spr9 in the japonica genetic background, we examined whether knockout of SPR9 in the cultivar Hui1586 (japonica) would lead to the spread panicle phenotype. Using the CRISPR/Cas9 gene editing system, a sequence-specific guide RNA (sgRNA) was designed to knock out the SPR9 gene. We obtained a total of three homozygotes from three independent knockout events and confirmed their presence of insertion and deletion mutations at the target sites by Sanger DNA sequencing (Fig. 4a). We then investigated and analysed the panicle characteristics of three homozygous lines after maturity and found that all three homozygous lines showed a panicle spread phenotype (Fig. 4b), which indicated that knockout of the SPR9 gene in Hui1586 would lead to the spread panicle phenotype. In addition, analysis of other agronomic traits showed that there were no significant differences in plant height, panicle length, effective panicle number, number of grains per panicle, seed setting rate, 1000-grain weight, grain length or grain width between Hui1586 and three knockout transgenic lines (Supplementary Table 3). These results were consistent with the agronomic traits of the spr9 mutant in the R20-1(wild-type). Taking together, we concluded that spr9 gene was the causal gene for the spread panicle phenotype in the spr9 mutant.

Fig. 4
figure 4

Knockout transgenic lines showed the phenotype of the spr9 mutant. a: Three independent events (designated SPR9-KO-Line1, SPR9-KO-Line2 and SPR9-KO-Line3) were generated using the CRISPR/Cas9 system and verified by sequencing. b: Panicle differences between Hui1586 and three knockout lines. The three knockout lines generated by CRISPR/Cas9 all exhibit the phenotype of spreading panicles

Expression pattern and subcellular localizationof SPR9

To further understand the function of SPR9, reverse transcription- quantitative PCR (RT‒qPCR) was used to detect the expression patterns of SPR9 at different developmental stages of rice (Primers are shown in Supplementary Table 1). The results showed that SPR9 was expressed in all tissues tested here, including roots, shoots, and leaves of two- and four-week-old panicles of 0.5–1 cm, 1–3 cm, 3–5 cm, and 5–10 cm length, along with germinating and mature seeds and callus, but it was predominantly expressed in the seed (germination) and in panicles (5–10 cm length) (Fig. 5).

Fig. 5
figure 5

The expression patterns of SPR9. The expression patterns of SPR9. RNA samples were extracted from different tissues of Jiafuzhan, including roots, shoots, and leaves of two-, four- and six-week-old seedlings, spikelets of 0.5–1 cm, 1–3 cm, 3–5 cm, and 5–10 cm in length, germinating and mature seeds and callus. Data represent the mean and standard deviation of three biological replicates. Three technical replicates for each biological sample were used. The error bar represents the standard deviation (SD) of the value from three independent biological samples

In order to further analyze the localization of SPR9, we constructed 35 S: SPR9-pSuper1300-GFP vector (Primers are shown in Supplementary Table 1) and transformed to Agrobacterium tumefaciens GV3101. Three days after injecting tobacco leaves, the localization of SPR9 cells was observed by laser confocal microscopy (The Zeiss 880 confocal microscope). The results showed the localization of SPR9 in the nucleus (Fig. 6).

Fig. 6
figure 6

The subcellular localizationof SPR9. The localization of SPR9-pSuper1300-GFP in Nicotiana tabacum L. cells was observed by laser confocal microscopy. The results showed that SPR9-pSuper1300-GFP mainly expressed in the nucleus, Bar = 20 μm

Discussion

SPR9 is a new spread panicle-related gene

The spread panicle trait is a typical mutant trait in rice, and there have been some reports on its gene mapping. To date, a total of 7 genes for spike traits have been reported, namely, spr1 [22], spr2 [23], spr3[24], spr4 [25], spr5[26], spr8 [27] and OsLG1[1]. Among these genes, spr1 and spr8 were controlled by a recessive nuclear gene, and other five sprouting trait genes were controlled by dominant genes. In this study, the spr9 gene was identified as a recessive mutation. Through further comparison, no cloned spread panicle gene was found in this region, so we speculated that spr9 was a new gene.

Why does spr9 show enhanced resistance to RFS?

SPR9 encodes the 60 S ribosomal protein L36-2, which is a ribosome associated protein. However, why does spr9 affect the disease resistance of rice? Studies have shown that posttranslational reprogramming is another fundamental regulatory pathway of plant immunity and specifically regulates translation in response to PAMP-triggered immunity induction [42]. Consistent with this result, previous transcriptomic studies of rice Pi21-silenced plants infected by Magnaporthe oryzae suggested that ribosomes were a third enrichment pathway compared to Nipponbare plants [43]. A recent study showed that translation was the most significantly enriched term in Gene Ontology (GO) analysis, while ribosomes were the most significantly enriched pathway in the Kyoto Encyclopaedia of Genes and Genomes (KEGG) analysis [33]. These results strongly indicated that the protein translation machinery was regulated during the response of rice to pathogens and is involved in rice immunity regulation. It was found that the ribosome protein gene GhRPL18A-6 can regulate the expression of cell wall synthesis, lignin synthesis and other disease-resistant pathway genes in upland cotton, and improve the Verticillium dahliae resistance of transgenic cotton at various growth stages [44]. Based on the above relevant research results, we suspected that SPR9 acts as a negative regulator of the immune response in rice. However, further biochemical experiments are needed to verify how SPR9 is regulated by translation during immune activation in rice.

In recent years, studies on different crops have found that plant panicle architectures are closely related to plant disease resistance [45, 46]. In rice, it was found that the spike characters were related to the occurrence of RFS. The rice varieties with vertical close ear type are more susceptible to RFS, while the rice varieties with scattered ear type and long curved ear type are not [30, 31]. We speculated that the main reason for the relatively better resistance of spread or long-curved rice panicle types is that under the same environmental conditions, spread or long-curved rice panicle types have better permeability, short duration of high humidity conditions, and relatively low humidity. More importantly, studies have shown that the best condition for rice false smut is low temperature and high humidity [47, 48]. Therefore, this is consistent with the results of this study that the spr9 mutants exhibit better disease resistance to RFS.

The application prospect of the spr9 gene in rice breeding

Many wild rice species have typical spread spikelets because the spread spikelets help them to improve the outcrossing seed setting rate and reproductive ability in the field to better adapt to the environment [49, 50]. At the same time, some studies have shown that the spread of panicle traits is often linked with some undesirable agronomic traits, such as shorter plant height, fewer tillers, fewer branches and stalks, lower yield, and stronger grain setting, but the grain quality is better[49, 50].

In this study, most importantly, our data indicated that the spr9 mutant not only enhanced resistance to RFS but also did not affect the important agronomic traits of rice (Figs. 1 and 2 and Supplementary Table 2). Together, the results indicate that SPR9 has good application prospects in future rice disease resistance and improved panicle breeding. For example, to improve the outcrossing rate of male sterile lines, we can transfer spr9 into sterile lines. At the same time, to improve rice smut resistance to a certain extent, we transferred spr9 into restorer lines.

Conclusion

In this study, a novel SPR9 gene was mapped and identified as a ribosomal protein coding gene. Then, CRISPR/Cas9 knockout experiments confirmed that the SPR9 gene is responsible for the spreading panicle phenotype of the spr9 mutant. Importantly, the spr9 mutant was found to improve resistance to RFS without affecting major agronomic traits, indicative of potential applications of spr9 in broader breeding programs. Taken together, our results revealed that the spr9 gene has good application prospects in future rice disease resistance and improved panicle breeding.

Data Availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request. The genome sequence of LOC_Os05g38520 (SPR9) can be found in the NCBI database (http://www.ncbi.nlm.nih.gov/), and the number of GenBank is AK058918.

References

  1. Ishii T, Numaguchi K, Miura K, Yoshida K, Thanh PT, Htun TM, Yamasaki M, Komeda N, Matsumoto T, Terauchi R, Ishikawa R, Ashikari M. OsLG1 regulates a closed panicle trait in domesticated rice. Nat Genet. 2013;45(4):462–5.

    Article  CAS  PubMed  Google Scholar 

  2. Huang XH, Huang SW, Han B, Li JY. The integrated genomics of crop domestication and breeding. Cell. 2022;185(15):2828–39.

    Article  CAS  PubMed  Google Scholar 

  3. Liu Q, Han RX, Wu K, Zhang JQ, Ye YF, Wang SS, Chen JF, Pan YJ, Xu XP, Zhou JW, Tao DY, Wu YJ, Fu XD. G-protein βγ subunits determine grain size through interaction with MADS-domain transcription factors in rice. Nat Commun. 2018;9(1):852.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Ashikari M, Sakakibara H, Lin S, Yamamoto T, Takashi T, Nishimura A, Angles ER, Qian Q, Kitano H, Matsuoka M. Cytokinin oxidase regulates rice grain production. Science. 2005;309(5735):741–5.

    Article  CAS  PubMed  Google Scholar 

  5. Huang XZ, Qian Q, Liu ZB, Sun HY, He SY, Luo D, Xia GM, Chu CC, Li JY, Fu XD. Natural variation at the DEP1 locus enhances grain yield in rice. Nat Genet. 2009;41(4):494–7.

    Article  CAS  PubMed  Google Scholar 

  6. Huang HX, Ye YF, Song WZ, Li Q, Han RX, Wu CC, Wang SX, Yu JP, Liu XY, Fu XD, Liu Q, Wu K. Modulating the C-terminus of DEP1 synergistically enhances grain quality and yield in rice. J Genet Genomics. 2022;49(5):506–9.

    Article  PubMed  Google Scholar 

  7. Wu Y, Wang Y, Mi XF, Shan JX, Li XM, Xu JL, Lin HX. The QTL GNP1 encodes GA20ox1, which increases grain number and yield by increasing cytokinin activity in rice panicle meristems. PLoS Genet. 2016;12(10):e1006386.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Jiao YQ, Wang YH, Xue DW, Wang J, Yan MX, Liu GF, Dong GJ, Zeng DL, Lu ZF, Zhu XD, Qian Q, Li JY. Regulation of OsSPL14 by OsmiR156 defifines ideal plant architecture in rice. Nat Genet. 2010;42(6):541–4.

    Article  CAS  PubMed  Google Scholar 

  9. Miura K, Ikeda M, Matsubara A, Song XJ, Ito M, Asano KJ, Matsuoka M, Kitano H, Ashikari M. OsSPL14 promotes panicle branching and higher grain productivity in rice. Nat Genet. 2010;42(6):545–9.

    Article  CAS  PubMed  Google Scholar 

  10. Wang SS, Wu K, Qian Q, Liu Q, Li Q, Pan YJ, Ye YF, Liu XY, Wang J, Zhang JQ, Li S, Wu YJ, Fu XD. Non-canonical regulation of SPL transcription factors by a human OTUB1-like deubiquitinase defifines a new plant type rice associated with higher grain yield. Cell Res. 2017;27(9):1142–56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Fan CC, Xing YZ, Mao HL, Lu TT, Han B, Xu CG, Li XH, Zhang QF. GS3, a major QTL for grain length and weight and minor QTL for grain width and thickness in rice, encodes a putative transmembrane protein. Theor Appl Genet. 2006;112(6):1164–71.

    Article  CAS  PubMed  Google Scholar 

  12. Ishimaru K, Hirotsu N, Madoka Y, Murakami N, Hara N, Onodera H, Kashiwagi T, Ujiie K, Shimizu BI, Onishi A, Miyagawa H, Katoh E. Loss of function of the IAA-glucose hydrolase gene TGW6 enhances rice grain weight and increases yield. Nat Genet. 2013;45(6):707–11.

    Article  CAS  PubMed  Google Scholar 

  13. Wang SK, Li S, Liu Q, Wu K, Zhang JQ, Wang SS, Wang Y, Chen XB, Zhang Y, Gao CX, Wang F, Huang HX, Fu XD. The OsSPL16-GW7 regulatory module determines grain shape and simultaneously improves rice yield and grain quality. Nat Genet. 2015;47(8):949–54.

    Article  CAS  PubMed  Google Scholar 

  14. Wang YX, Xiong GS, Hu J, Jiang L, Yu H, Xu J, Fang YX, Zeng LJ, Xu E, Xu J, Ye WJ, Meng XB, Liu RF, Chen HQ, Jing YH, Wang YH, Zhu XD, Li JY, Qian Q. Copy number variation at the GL7 locus contributes to grain size diversity in rice. Nat Genet. 2015;47(8):944–8.

    Article  CAS  PubMed  Google Scholar 

  15. Si LZ, Chen JY, Huang XH, Gong H, Luo JH, Hou QQ, Zhou TY, Lu TT, Zhu JJ, Shangguan YY, Chen EW, Gong CX, Zhao Q, Jing YF, Zhao Y, Yan L, Cui LL, Fan DL, Lu YQ, Weng QJ, Wang YC, Zhan QL, Liu KY, Wei XH, An KS, An GH, Han B. OsSPL13 controls grain size in cultivated rice. Nat Genet. 2016;48(4):447–56.

    Article  CAS  PubMed  Google Scholar 

  16. Hu J, Wang YX, Fang YX, Zeng LJ, Xu J, Yu HP, Shi ZY, Pan JJ, Zhang D, Kang SJ, Zhu L, Dong GJ, Guo LB, Zeng DL, Zhang GH, Xie LH, Xiong GS, Li JY, Qiang Q. A rare allele of GS2 enhances grain size and grain yield in rice. Mol Plant. 2015;8(10):1455–65.

    Article  CAS  PubMed  Google Scholar 

  17. Che RH, Tong HN, Shi BH, Liu YQ, Fang SR, Liu DP, Xiao YH, Hu B, Liu LC, Wang HR, Zhao MF, Chu CC. Control of grain size and rice yield by GL2-mediated brassinosteroid responses. Nat Plants. 2015;2:15195.

    Article  PubMed  Google Scholar 

  18. Duan PG, Ni S, Wang JM, Zhang BL, Xu R, Wang YX, Chen HQ, Zhu XD, Li YH. Regulation of OsGRF4 by OsmiR396 controls grain size and yield in rice. Nat Plants. 2015;2:15203.

    Article  PubMed  Google Scholar 

  19. Song XJ, Huang W, Shi M, Zhu MZ, Lin HX. A QTL for rice grain width and weight encodes a previously unknown RING-type E3 ubiquitin ligase. Nat Genet. 2007;39(5):623–30.

    Article  CAS  PubMed  Google Scholar 

  20. Liu JF, Chen J, Zheng XM, Wu FQ, Lin QB, Heng YQ, Tian P, Cheng ZJ, Yu XW, Zhou KN, Zhang X, Guo XP, Wang JL, Wang HY, Wan JM. GW5 acts in the brassinosteroid signalling pathway to regulate grain width and weight in rice. Nat Plants. 2017;3:17043.

    Article  CAS  PubMed  Google Scholar 

  21. Zhu ZF, Tan LB, Fu YC, Liu FX, Cai HW, Xie DX, Wu F, Wu JZ, Matsumoto T, Sun CQ. Genetic control of inflorescence architecture during rice domestication. Nat Commun. 2013;4:2200.

    Article  PubMed  Google Scholar 

  22. Kinoshita T, Takamure I. Linkage studies by the use of backcross data in rice. Genetical studies on rice plant, LXXXVIII. J Fac Agr Hokkaido Univ. 1986;61:445–55.

    Google Scholar 

  23. Mitra S, Ganguli P. Some observations on the characters of wild rice hybrids. Indian J Agric Sci. 1932;2:271–9.

    Google Scholar 

  24. Luo JJ, Hao W, Jin J, Gao JP, Lin XH. Fine mapping of Spr3, a locus for spreading panicle from african cultivated rice (Oryza glaberrima Steud). Mol Plant. 2008;1(5):830–8.

    Article  PubMed  Google Scholar 

  25. Sanchez A, Khush G. A new gene for spreading panicle in rice. Rice Genet Newsl. 1997;14:47–8.

    Google Scholar 

  26. Xu Y, Zhou J, Hu F, Xu P, Deng X, Li J, Ren G, Tao D. Spr5(t) a spreading panicle gene from Oryza glaberrima. Rice Genet Newsl. 2008;25:16–7.

    Google Scholar 

  27. Chen PP, Ye SH, Lu YT. Characteristics and mutation gene mapping of late japonica rice Zhejing 22 loose spike mutant spr8. Acta Agric Nucl Sin. 2013; 27: 1–8.

  28. Nakamura K, Izumiyama N, Ohtsubo K, Koiso Y, Iwasaki S, Sonoda R, Fujita Y, Yaegashi H, Sato Z. Lupinosis”-like lesions in mice caused by ustiloxin, produced by Ustilaginoidea virens: a morphological study. Nat Toxins. 1994;2(1):22–8.

    Article  CAS  PubMed  Google Scholar 

  29. Song TQ, Zhang Y, Zhang Q, Zhang X, Shen DY, Yu JJ, Yu MN, Pan XY, Cao HJ, Yong ML, Qi ZQ, Du Y, Zhang RS, Yin XL, Qiao JQ, Liu YZ, Liu WD, Sun WX, Zhang ZG, Wang YC, Dou DL, Ma ZC, Liu YF. The N- terminus of an Ustilaginoidea virens ser- thr- rich glycosylphosphatidylinositol- anchored protein elicits plant immunity as a MAMP. Nat Commun. 2021;12(1):2451.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Chen XY, Duan YH, Qiao FG, Liu H, Huang JB, Luo CX, Chen XL, Li GT, Xie KB, Hsiang T, Zheng L. A secreted fungal effector suppresses rice immunity through host histone hypoacetylation. New Phytol. 2022;235(5):1977–94.

    Article  CAS  PubMed  Google Scholar 

  31. Long WX, Yuan ZQ, Fan FF, Dan D, Pan GJ, Sun HM, Zhang ZH, Li NW, Li SQ. Genome-wide association analysis of resistance to rice false smut. Mol Breed. 2020;40:46.

    Article  CAS  Google Scholar 

  32. He NQ, Yang DW, Zheng XH, Huang FH, Cheng CP, Ye N. Improving blast resistance of R20 by molecular marker-assisted selection of the Pigm-1 gene. Acta Agric Nucl Sin. 2022;36(2):245–50.

    Google Scholar 

  33. Yang DW, Li SP, Xiao YP, Lu L, Zheng ZC, Tang DZ, Cui HT. Transcriptome analysis of rice response to blast fungus identified core genes involved in immunity. Plant Cell Environ. 2021;44(9):3103–21.

    Article  CAS  PubMed  Google Scholar 

  34. Song JH, Wei W, Lv B, Lin Y, Yin WX, Peng YL, Schnabel G, Huang JB, Jiang DH, Luo CX. Rice false smut fungus hijacks the rice nutrients supply by blocking and mimicking the fertilization of rice ovary. Environ Microbiol. 2016;18(11):3840–9.

    Article  PubMed  Google Scholar 

  35. Tang CS, Gao JZ, Cao GP, Huang SH, Liu RM, Liu CL, Xie W, Luo XY, Xiao Q. Reasearch and application of classification standard of rice false smut. Plant Prot. 2001;27:18–21.

    Google Scholar 

  36. Yang DW, Ye XF, Zheng XH, Cheng CP, Ye N, Huang FH. Development and evaluation of chromosome segment substitution lines carrying overlapping chromosome segments of the whole wild rice genome. Front Plant Sci. 2016;7:01737.

    Article  Google Scholar 

  37. Panaud O, Chen X, Mccouch S. Development of microsatellite and characterization of simple sequence length polymorphism (SSLP) in rice (Oryza sativa L). Mol Gen Genet. 1996;252(5):597–607.

    CAS  PubMed  Google Scholar 

  38. Lander ES, Green P, Abrahamson J, Barlow A, Daly MJ, Lincoln SE, Newburg L. Mapmaker: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics. 1987;1:174–81.

    Article  CAS  PubMed  Google Scholar 

  39. Rahman M, Chu S, Choi MS, Qian YL, Jiang WZ, Piao RH, Khanam S, Cho YI, Jeung JU, Jena K, Koh HJ. Identification of QTLs for some agronomic traits in rice using an introgression line from Oryaza minuta. Mol Cell. 2007;24(1):16–26.

    CAS  Google Scholar 

  40. Xie KB, Zhang JW, Yang YN. Genome-wide prediction of highly specific guide RNA spacers for CRISPR-Cas9-mediated genome editing in model plants and major crops. Mol Plant. 2014;7(5):923–6.

    Article  CAS  PubMed  Google Scholar 

  41. Ma XL, Chen LT, Zhu QL, Chen YL, Liu YG. Rapid decoding of sequence-specific nuclease-induced heterozygous and biallelic mutations by direct sequencing of PCR products. Mol Plant. 2015;8(8):1285–7.

    Article  CAS  PubMed  Google Scholar 

  42. Xu GY, Greene GH, Yoo HJ, Liu LJ, Marques J, Motley J, Dong XN. Global translational reprogramming is a fundamental layer of immune regulation in plants. Nature. 2017;545(7655):487–90.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Zhang Y, Zhao JH, Li YL, Yuan ZJ, He HY, Yang HH, Qu HY, Ma CY, Qu SH. Transcriptome analysis highlights defense and signaling pathways mediated by Rice pi21 gene with partial resistance to Magnaporthe oryzae. Front Plant Sci. 2016;7:1834.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Zhang YH, Jin YY, Gong Q, Li Z, Zhao LH, Han X, Zhou JH, Li FG, Yang ZE. Mechanismal analysis of resistance to verticillium dahliae in upland cotton conferred by overexpression of rpl18a-6 (ribosomal protein l18a-6). Ind Crops Prod. 2019;141:111742.

    Article  CAS  Google Scholar 

  45. Carlson CH, Fiedler JD, Naraghi SM, Nazareno ES, Ardayfio NK, McMullen MS, Kianian SF. Archetypes of inflorescence: genome-wide association networks of panicle morphometric, growth, and disease variables in a multiparent oat population. Genetics. 2022;15(128):36106985.

    Google Scholar 

  46. Eizenga GC, Jia MH, Jackson AK, Boykin DL, Ali ML, Shakiba E, Tran NT, McCouch SR, Edwards JD. Validation of yield component traits identified by genome-wide association mapping in a tropical japonica × tropical japonica rice biparental mapping population. Plant Genome. 2019;12(1):30951093.

    Article  Google Scholar 

  47. Lu MH, Liu WC, Zhu F. 2018. Epidemic law and control technique of rice false smut in recent years. China Plant Prot. 2018; 38: 44–47

  48. Sun WX, Fan J, Fang AF, Li YJ, Tariqjaveed M, Li DY, Hu DW, Wang WM. Ustilaginoidea virens: insights into an Emerging Rice Pathogen. Annu Rev Phytopathol. 2020;58:363–85.

    Article  CAS  PubMed  Google Scholar 

  49. Vaughan D, Morishima H, Kadowaki K. Diversity in the Oryza genus. Curr Opin Plant Biol. 2003;6(2):139–46.

    Article  CAS  PubMed  Google Scholar 

  50. Grillo M, Li C, Fowlkes AM, Briggeman TM, Zhou AL, Schemske DW, Sang T. Genetic architecture for the adaptive origin of annual wild rice, Oryza mvara. Evolution. 2009;63(4):870–83.

    Article  CAS  PubMed  Google Scholar 

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Funding

The work was supported by the Special Fund for Agro-scientific Research in the Public Interest of Fujian Province (2023R11010021-1), the Fujian Provincial Natural Science Foundation (No. 2023J01141340, 2022J01450 and 2021J01471), the Free Exploration Project of Fujian Academy of Agricultural Sciences (ZYTS202308 and ZYTS2023006), Major Science and Technology Projects of Fujian Province (No. 2020NZ08016), Science and Technology Innovation Team (No. CXTD2021005-3), Youth Science and Technology Innovation Team (No. CXTD2021001), 5511 Collaborative Engineering Project (No. KXXYJBG0021), and the 100 Talent Plans of Fujian Province.

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All the authors contributed to the conception and design of the study. DY planned and performed the experiments and data collection and wrote the manuscript with input from all authors. The collection and analysis of the data were performed by NH, FH, LL and XW. The first draft of the manuscript was written by DY, NH. NH prepared Fig. 1, FH prepared Fig. 2, LL prepared Fig. 3 and XW prepared Fig. 4. QQL revised the manuscript. All authors discussed the results and contributed to the final manuscript.

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Correspondence to Dewei Yang.

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He, N., Huang, F., Lu, L. et al. SPR9 encodes a 60 S ribosomal protein that modulates panicle spreading and affects resistance to false smut in rice (Oryza sativa. L). BMC Plant Biol 23, 205 (2023). https://doi.org/10.1186/s12870-023-04172-4

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