Literature DB >> 32547576

Deciphering the Genetic Basis of Lodging Resistance in Wild Rice Oryza longistaminata.

Weixiong Long1, Dong Dan1, Zhengqing Yuan1, Yunping Chen1, Jie Jin1, Weilong Yang1, Zhihong Zhang1, Nengwu Li1, Shaoqing Li1.   

Abstract

The abuse of fertilizer results in tall rice plants that are susceptible to lodging and reduced plant yield. Hence, it is important to identify and utilize the quantitative trait loci (QTLs)/genes for lodging resistance breeding. Oryza longistaminata exhibits a strong stem and high biomass productivity, which could be a candidate gene pool for cultivars lodging resistance improvement. Here, a set of 152 BC2F20 lines derived from a cross between a cultivated line 93-11 and O. longistaminata was evaluated for lodging resistance. QTL mapping analysis combined with single-nucleotide polymorphism (SNP) marker derived from high-throughput sequencing identified 12 QTLs for stem diameter (SD), 11 QTLs for stem length (SL), and 3 QTLs for breaking strength (BS). Of which, 14 QTLs were first identified from O. longistaminata. A major QTL, qLR1, which was delimited to a region ∼80 kb on chromosome 1, increased stem diameter, stem length, and breaking strength. Another major QTL, qLR8, that was delimited in an interval ∼120 kb on chromosome 8, significantly enhanced the breaking strength. These results provide evidence that O. longistaminata can be exploited to develop lodging-resistant rice lines.
Copyright © 2020 Long, Dan, Yuan, Chen, Jin, Yang, Zhang, Li and Li.

Entities:  

Keywords:  Oryza longistaminata; QTLs; lodging resistance; stem diameter; wild rice

Year:  2020        PMID: 32547576      PMCID: PMC7274161          DOI: 10.3389/fpls.2020.00628

Source DB:  PubMed          Journal:  Front Plant Sci        ISSN: 1664-462X            Impact factor:   5.753


Introduction

Lodging in cereal crops is a major problem that results in decreased grain yield and deteriorated grain quality (Berry et al., 2004). Development of lodging-resistant varieties to cope with this challenge has been widely attended to increase yield in rice, maize, and other crops (Zhu et al., 2013; Peng et al., 2014; Yadav et al., 2017). Plant breeders have reduced lodging risk by introducing the semi-dwarf gene sd1, known as the “Green Revolution Gene” (Peng et al., 1999). However, recent studies showed that semi-dwarf trait in rice limits photosynthesis and biomass production leading to a yield penalty (Murai et al., 2002). Additionally, it may have a negative pleiotropic effect on culm morphology (Okuno et al., 2014). In other words, the gibberellin synthesis gene (sd1) widely applied in Green Revolution rice also reduces the culm strength by decreasing culm diameter, which makes it difficult to further improve lodging resistance by one semi-dwarf genes alone. Thus, it is important to search for alien genes favorable for breeding lodging-resistant rice. Lodging resistance is a complex quantitative trait, which is affected by many factors, such as culm morphology, culm diameter and length, cellulose content, and environment conditions. Previous studies have shown that the culm diameter and size are highly correlated with the lodging resistance of rice (Kashiwagi and Ishimaru, 2004; Kashiwagi et al., 2006; Fan et al., 2018; Sowadan et al., 2018). Ookawa et al. (2010) identified four QTLs for bending moment at breaking and section modulus of the fourth internodes derived from two indica rice varieties with strong culms. Similarly, Kashiwagi et al. (2008) detected five QTLs for pushing resistance from a backcross between Nipponbare and Kasalath. Shailesh Yadav et al. (2017) mapped 12 QTLs for lodging resistance from a backcross between Swarna and Moroberekan. Moreover, three functional genes including prl5, SCM2, and SCM3 have been identified to regulate stem diameter. Interestingly, SCM2 increased not only culm strength but also spikelet number. However, few reports have been made about lodging resistance in wild rice apart from three QTLs for culm-base thickness derived from pLIA1, which carried Oryza longistaminata’s chromosome segments (Gichuhi et al., 2016). Hence, exploitation of new QTLs or genes from wild rice contributing to lodging resistance will help enrich the gene pool for improvement of lodging resistance in rice. The perennial wild species O. longistaminata, which showed large stem diameter, thick stem wall, and high biomass production, is believed to help improve rice lodging resistance (Khush, 1997). In our study, we conducted QTL analysis of potential lodging resistance of O. longistaminata by evaluation of stem diameter, stem length, and breaking strength using an advanced backcross inbred line (BIL) population derived from a cross between O. longistaminata and 93–11. Totally, 26 QTLs for lodging resistance were detected, of which 12 QTLs for stem diameter (SD), 11 QTLs for stem length (SL), and three QTLs for breaking strength (BS) were derived from O. longistaminata. These novel QTLs will lay the foundation for breeding strong lodging resistant rice and broaden our understanding of the genetic basis of rice lodging resistance.

Materials and Methods

Plant Materials and Field Experiments

The recurrent indica rice variety 93–11, wild rice O. longistaminata, and 152 backcross inbred lines (BILs) derived from a cross between them were used in this research. Field experiments were conducted in Linshui, Hainan province during the rice-growing season from late October to late March and in Wuhan, Hubei province during mid-May to late-September in 2017 and 2018. Each BIL was planted in five rows with 10 plants in each row at a spacing of 20 cm × 16.5 cm. A randomized complete block design with three replications was used in each experiment.

Measurement of Lodging Resistance-Related Traits

At 2 weeks after heading, five plants of each BIL and 93–11 were selected to investigate the lodging resistance traits. The stem diameter (SD) of the fifth internode from the top of each selected plant was measured using an electronic Vernier caliper in the field. Stem length of the internode (SL) from the top was measured from the ground to the base of the panicle. The breaking strength (BS), a parameter for the physical strength of the stem, was measured at the last internode of the plants using a plant lodging tester (YYD-1A, Zhejiang TOP Instrument Co., Ltd., China).

Statistical Analysis

All the data were analyzed using SPSS 20.0 statistical software. Mean values of each trait were used for further QTL analysis. The standard deviation of the means was calculated using Microsoft Excel software. Correlations between the lodging resistance traits were evaluated using Pearson’s correlation.

QTL Analysis and Sequence Analysis

A total of 2,432 bin markers was used to construct the genetic linkage map covering the whole genome as described by Jin et al. (2018). Inclusive composite interval mapping combined with additive mapping (ICIM-ADD) method was used to detect more precise lodging resistance QTLs (Meng et al., 2015). The significant logarithm of odds (LOD) value threshold for each trait was determined following the 5% permutation test with 1,000 replicates. The putative genes on the QTL region were identified based on the RIGW[1].

Results

Phenotypic Evaluation of Lodging Resistance-Related Traits

Significant differences for the three measured traits were found between the two parents in both trials (Supplementary Figure 1 and Table 1). The wild rice performed better than 93–11 for all of the three lodging-related traits, indicating that O. longistaminata can efficiently improve the lodging resistance of rice.
TABLE 1

Performance of lodging associated trait in backcross inbred lines (BILs) within 2 years.

TraitsEnvironmentYearBILs
MinMaxAverageSDCV (%)
Stem diameter (mm)WH20175.2712.787.941.1714.74
20185.1713.257.921.2215.40
HN20175.7912.238.661.1713.51
20185.5213.008.681.2414.29
Stem length (cm)WH201764.1178.67109.2431.5428.87
201878.6191.53119.7040.6433.95
HN201741.08157.9083.5929.5435.34
201849.11181.67103.0230.6229.72
Breaking strength (N)HN20175.8129.6814.954.6431.04
20186.1330.2815.124.6530.75
WH20175.4130.8615.504.8030.97
20185.4231.3315.514.8431.21
Performance of lodging associated trait in backcross inbred lines (BILs) within 2 years. For the BIL population, the variation of stem diameter, stem length, and breaking strength in Hainan ranged from 5.79 to 12.23 mm, 41.08 to 157.90 cm, and 5.81 to 29.68 N, respectively, with an average of 8.66 mm, 83.59 cm, and 14.95 N, respectively, in 2017 (Figure 1). Correspondingly, the coefficient of variation (CV) of stem diameter (SD), stem length (SL), and breaking length (BS) was 13.51, 35.34, and 31.04%, respectively (Table 1). In 2018 at Hainan, the variation of SD, SL, and BS of O. longistaminata BIL population ranged from 5.52 to 13.00 mm, 49.11 to 181.67 cm, and 6.13 to 30.28 N, with an average of 8.68 mm, 103.03 cm, and 15.12 N, respectively. Correspondingly, the CV of SD, SL, and BS was 14.29, 29.72, and 30.75%, respectively.
FIGURE 1

Phenotyping of lodging-resistant traits of 152 Oryza longistaminata backcross inbred lines (BILs). WH and HN present Wuhan and Hainan, respectively.

Phenotyping of lodging-resistant traits of 152 Oryza longistaminata backcross inbred lines (BILs). WH and HN present Wuhan and Hainan, respectively. In Wuhan, the SD ranged from 5.27 to 12.78 mm and 5.17 to 13.25 cm, with the CV of 14.73 and 15.40% in 2017 and 2018, respectively. The SL ranged from 64.1 to 178.67 cm, and 78.60 to 191.53 cm, with the CV of 28.87 and 33.95% in 2017 and 2018, respectively. The BS ranged from 5.41 to 30.86 N and 5.42 to 31.33 N, with the CV of 30.97 and 31.21% in 2017 and 2018, respectively (Table 1). These results indicate that the BS, SL, and SD of O. longistaminata BILs all showed great variation among different lines; BS and SL have more genetic diversity than SD regardless of environments.

Correlations Among Lodging Resistance-Related Traits

Significant correlations (P < 0.05) were found between the traits studied (Supplementary Tables 2, 3). Breaking strength was found to be positively correlated with stem diameter and stem length in Hainan (P < 0.001). However, breaking strength was negatively correlated with stem length at Wuhan in 2018 (Supplementary Table 2). The negative correlation may be due to the photoperiod sensitivity of some BILs. These results indicate that wild rice O. longistaminata can improve the lodging resistance without the stem length reduction. In other words, it is possible to breed high yield and high biomass cultivars with high lodging resistance, which may provide appropriate genetic resources for breeding tall super yielding rice (Yuan, 2017).

QTL Mapping of Lodging Resistance-Associated Traits

A total of 26 QTLs associated with stem diameter, stem length, and breaking strength were detected in the population of BILs (Figure 2). Among these, O. longistaminata supplied the superior allele at 14 QTLs (Tables 2, 3), while at the remaining 12 QTLs, the variety 93–11 supplied the superior alleles (Supplementary Tables 2, 3). Of which, eight QTLs including two for stem diameter, three for stem length, and three for breaking strength were identified from O. longistaminata in Hainan during the 2 years. Two QTLs, qSD1.1 and qSD9.1, were detected for stem diameter. The QTL qSD9.1 was detected in two consecutive years with a LOD of 3.17 and 4.99 and a PVE of 6.87 and 10.85% in 2017 and 2018, respectively. qSD1.1 was identified in 2017, and it explained 13.68% of the phenotypic variation with a LOD of 5.78. The three QTLs (qSL1.1, qSL2.1, and qSL2.2) contributing to stem length were detected on chromosomes 1 and 2, and positive alleles were contributed by O. longistaminata (Figure 2). The QTL qSL1.1 was detected in both 2017 and 2018, and it explained 59.40 and 67.03% of the phenotypic variation, respectively. QTLs qSL2.1 and qSL2.2 explained phenotypic variation of 5.53 and 10.22%, respectively. The three QTLs, qBS1.1, qBS4.1, and qBS8.1, contributing to stem breaking strength were mapped on chromosomes 1, 4, and 7. Among them, QTL qBS1.1 was repeatedly detected across 2 years with the PVE of 5.07 and 1.86%, respectively. While qBS4.1 and qBS8.1 were detected only in 2017, they explained the phenotypic variance of 7.10 and 8.70%, respectively.
FIGURE 2

Quantitative trait loci (QTLs) for stem diameter, stem length, and breaking strength in Oryza longistaminata backcross inbred lines (BILs). The upward direction indicates the alleles of QTLs derived from O. longistaminata showing positive effects, and the center of the graphics indicates the QTLs region location. The red shapes show that the QTLs were detected in Wuhan, and the blue shapes represents the QTLs were identified in Hainan. The brown shapes mean QTLs mapped both two environments. Stem diameter (SD): arrow; stem length (SL): triangle; breaking strength (BS): trapezoid.

TABLE 2

Quantitative trait loci (QTLs) of lodging resistance derived from Oryza longistaminata in Hainan.

Investigated traitsQTLsChrPos (cM)L/BinR/BinL/bpR/bpLOD
PVE
Add
201720182017201820172018
Stem diameterqSD1.112261–1711–17235964905_3601697035557085_359610045.7813.680.49
qSD9.1989–69–820987075_2107794120967923_209848463.174.996.8710.850.630.80
Stem lengthqSL1.112161–1591–16036587534_3686430736569506_3658753331.2239.2759.4067.0325.5525.87
qSL2.121452–2012–2028863323_88954388841866_88633224.585.539.28
qSL2.221192–2472–14818779567_1896806218713595_187701863.7710.222.57
Breaking strengthqBS1.112161–1611–16236539238_3656950536515725_365362964.875.0713.7016.761.862.06
qBS4.141204–974–9819770490_2000504519663208_197704892.667.102.14
qBS8.18328–328–338075498_81183348118335_81965683.308.702.21
TABLE 3

Quantitative trait loci (QTLs) associated with lodging resistance derived from Oryza longistaminata identified in a population of backcross inbred lines (BILs) evaluated in 2017 and 2018 in Wuhan and Hainan, China.

Investigated traitsQTLsChrPos (cM)L/BinR/BinL/bpR/bpLOD
PVE
Add
201720182017201820172018
Stem diameterqSD8.18748–598–609870144_997837620727323_210340353.434.5518.838.031.121.13
qSD1.112161–1611–16236539238_3656950536515725_3653629613.2925.370.65
qSD12.11215612–16812–16922817923_2286368422863685_2298385251.3934.801.99
Stem lengthqSL1.112161–1601–16136587534_3686430736569506_365875332.7753.007.2179.899.1131.64
qSL1.212861–3101–31123526094_2355349723494864_235260933.439.1210.51
qSL2.321892–2522–25310475930_1050572710520137_105623052.708.0922.59
qSL8.18788–598–609870144_997837620727323_210340353.324.4218.61
qSL11.21129011–12811–1291_3709551355747_1374402.505.0123.36
Breaking strengthqBS1.112161–1611–16236539238_3656950536515725_365362964.0211.221.75
qBS8.18328–318–328075498_81183348118335_81965683.7810.222.57
Quantitative trait loci (QTLs) for stem diameter, stem length, and breaking strength in Oryza longistaminata backcross inbred lines (BILs). The upward direction indicates the alleles of QTLs derived from O. longistaminata showing positive effects, and the center of the graphics indicates the QTLs region location. The red shapes show that the QTLs were detected in Wuhan, and the blue shapes represents the QTLs were identified in Hainan. The brown shapes mean QTLs mapped both two environments. Stem diameter (SD): arrow; stem length (SL): triangle; breaking strength (BS): trapezoid. Quantitative trait loci (QTLs) of lodging resistance derived from Oryza longistaminata in Hainan. Quantitative trait loci (QTLs) associated with lodging resistance derived from Oryza longistaminata identified in a population of backcross inbred lines (BILs) evaluated in 2017 and 2018 in Wuhan and Hainan, China. A total of 10 QTLs for lodging-related traits were derived from O. longistaminata and were detected in Wuhan. Three QTLs (qSD1.1, qSD8.1, and qSD12.1) for stem diameter were detected on chromosomes 1, 8, and 12. The QTL qSD8.1 was consistently detected in 2017 and 2018 with a LOD of 3.43 and 4.55, with the PVE of 18.33 and 8.03%, respectively. The QTLs qSD1.1 and qSD12.1 were identified in 2018 and explained phenotypic variation of 25.37 and 34.80%, respectively. Five QTLs, qSL1.1, qSL1.2, qSL2.3, qSL8.1, and qSL11.2, which were associated with stem length were mapped on chromosomes 1, 2, 3, 8, and 11, respectively. The QTL qSL1.1 was detected in both years and explained phenotypic variation of 7.21 and 79.89%, respectively. The QTLs qSL1.2 and qSL2.3 were identified in 2017 and had PVE of 9.12 and 8.09%, respectively. QTLs qSL8.1 and qSL11.2 were mapped in 2018 with a LOD value of 3.32 and 2.50 and PVE of 4.42 and 5.01%, respectively. Two QTLs controlling breaking strength, qBS1.1 and qBS8.1, were identified in 2018 with PVE of 11.22 and 10.22%, respectively.

Colocalization and Stability of QTLs Associated With Lodging Resistance

To investigate the genetic effects of the QTLs responsible for lodging resistance, all the QTLs for which O. longistaminata had the superior allele at two sites were further analyzed. The QTLs qSD1.1, qSL1.1, and qBS1.1 were colocalized on chromosome 1 (Figure 2). Another QTL, qBS8.1, was detected both in Wuhan and Hainan. The QTL hotspot qSD1.1/qSL1.1/qBS1.1 explained 25.37% of the variance for stem diameter, 79.89% for stem length, and 16.76% for breaking strength, which indicates that this locus may play an important role for lodging resistance in rice. What is more, this pleiotropic QTL was first detected in wild rice, and we named it lodging resistance 1 (qLR1). Meanwhile, another QTL, qBS8.1, explained lodging resistance variance for breaking strength of 8.70 and 10.22% at Hainan and Wuhan, respectively (Tables 2, 3) and has been renamed as lodging resistance 8 (qLR8).

Confirmation of the qLR1 and qLR8 for Lodging Resistance

To further confirm the function of the newly identified genetic locus of qLR1 and qLR8 in O. longistaminata, a high-resolution mapping with several BILs, including BIL 1708, 1719, 1829, 1738, 1755, 1795, and 1769, was performed. High-resolution mapping of several BILs possessing the superior O. longistaminata allele at qLR1 helped narrow down the QTL to an interval between BIN1-161 and BIN1-162 (Figure 3A). Among the BILs, the average breaking strength of the lines with the superior O. longistaminata allele at qLR1 was 19.60 N, which was significantly higher than those without qLR1 (14.32 N, P < 0.001). Furthermore, the average stem diameter and stem length of the lines carrying qLR1 was 9.72 mm and 123.12 cm, which were significantly (P < 0.01) larger than the lines without qLR1, which had an average stem diameter and stem length of 7.46 mm and 64.46 cm, respectively (Figure 3B). These results indicate that the qLR1 from O. longistaminata can significantly increase lodging resistance.
FIGURE 3

Confirmation of the quantitative trait loci (QTLs) of qLR1. (A) Verification of the qLR1 using seven backcross inbred lines (BILs) to delimit it to an interval between molecular marker between Bin1-161 and Bin1-162. Black rectangle shows the homozygous derived from Oryza longistaminata, white rectangle indicates the homozygous from 93-11. (B). qLR1 effect value analysis of stem diameter, stem length, and breaking strength in O. longistaminata BILs. White shapes mean the alleles from parent 93-11; black shapes indicate the homozygous genotype shared by O. longistaminata.

Confirmation of the quantitative trait loci (QTLs) of qLR1. (A) Verification of the qLR1 using seven backcross inbred lines (BILs) to delimit it to an interval between molecular marker between Bin1-161 and Bin1-162. Black rectangle shows the homozygous derived from Oryza longistaminata, white rectangle indicates the homozygous from 93-11. (B). qLR1 effect value analysis of stem diameter, stem length, and breaking strength in O. longistaminata BILs. White shapes mean the alleles from parent 93-11; black shapes indicate the homozygous genotype shared by O. longistaminata. Similarly, after high-resolution mapping, we delimited the qLR8 to both tightly linked markers BIN8-32 and BIN8-33 (Figure 4A). Then, we compared the genetic effects of qLR8 on lodging resistance in the BILs. Results showed that the average breaking strength of BILs with qLR8 was 18.89 N in Hainan, which was significantly higher than that of BILs, which lacked the superior O. longistaminata allele at qLR8 with an average breaking strength of 14.34 N (Figure 4B). These results indicated that qLR8 derived from O. longistaminata can significantly increase breaking strength.
FIGURE 4

Validation of the quantitative trait loci (QTLs) of qLR8. (A) Verification of the qLR8 using seven backcross inbred lines (BILs) to delimit it to an interval between two marker Bin8-32 and Bin8-33. (B) qLR8 effect value analysis of breaking strength in both Wuhan and Hainan environments.

Validation of the quantitative trait loci (QTLs) of qLR8. (A) Verification of the qLR8 using seven backcross inbred lines (BILs) to delimit it to an interval between two marker Bin8-32 and Bin8-33. (B) qLR8 effect value analysis of breaking strength in both Wuhan and Hainan environments. To better understand if the two QTLs had additive effects, BIL 1704, 1720, 1728, 1730, 1742, 1779, and 1797-2, which carried qLR1 and qLR8, were selected. The breaking strength of the seven lines ranged from 15.92 to 29.68 N, with an average of 22.55 N. This was significantly higher than the average value of the BILs carrying only qLR1 (19.60 N) and the average value of the BILs carrying only qLR8 (18.89 N) (Supplementary Figure 2). These results indicate that two QTLs can significantly increase the lodging resistance of rice than either one QTL. In summary, qLR1 and qLR8 from O. longistaminata can significantly increase the lodging resistance of rice.

Discussion

Lodging resistance is an important trait that is necessary for achieving high grain yield in rice production (Khush, 1997). In the past 60 years, short plant stature was the major target for improvement of lodging resistance, but many of the dwarfing genes are rarely applied to rice breeding due to deleterious effects on other agronomic traits such as low fertility and bold grains (Wu Z. et al., 2018). The “Green Evolution” gene sd1 is still the only dwarfing source predominantly used to produce semi-dwarf varieties in rice. Recently, some studies have shown the possibility of improving rice yield by increasing plant biomass (Jiang et al., 2016). Increasing plant height is an effective and feasible way to increase biomass from a morphological viewpoint (Donald, 1968; Ying et al., 1998; Ma and Yuan, 2015). In this study, some tall O. longistaminata BILs also exhibited larger stem diameter, more breaking strength, and strong resistance to lodging (Figure 3), indicating that wild rice O. longistaminata is a novel genetic resource for breeding strong, lodging-resistant rice. Although more than 24 QTLs for lodging resistance-associated traits had been reported earlier with three of them having been cloned in cultivars (Ookawa et al., 2016; Mulsanti et al., 2018; Sowadan et al., 2018), only two major QTLs for lodging resistance had been cloned (Xie et al., 2017; Wu Y. et al., 2018). Gichuhi et al. (2016) had identified three QTLs for culm-base thickness derived from O. longistaminata. None of them was overlapped with our results, which suggests that O. longistaminata contains great potential gene resources for cultivated rice lodging resistance improvement. In this study, we identified 12 new QTLs for lodging resistance with positive alleles derived from wild rice O. longistaminata for the first time. In addition, qLR1, a pleiotropic QTL responsible for stem length, stem diameter, and breaking strength, was narrowed to a small region ∼0.65 cM covering ∼80 kb physical distance on chromosome 1 (Figure 3A and Table 3). Corresponding to the MH63RS1 reference genome[2], the region contains only 10 predicted genes: two hypothetical proteins and eight functional genes (Table 4). Two genes draw our attention according to their gene annotation. First is MH01t0727100-1 encoding a UDP-glucuronate:xylan alpha-glucuronosyltransferase 1, which can enhance mechanical strength of the stem (Gao et al., 2020). Epigenetic plays an increasing important role for plant breeding and selection of adaptive traits. Second is MH01t0727800-1 encoding a CHD3-type chromatin-remodeling factor PICKLE, which is highly associated with variability of growth and gene expression (Zhang et al., 2014). Meanwhile, qLR8, another QTL contributing to stem breaking strength, was localized in an interval of 1.34 cM covering ∼120 kb according on the MH63RS1 genome. This region contained 21 predicted genes: eight hypothetical proteins and 13 functional genes (Table 4). Interestingly, protein RALF-like 33 impacts on acidification and cell expansion during growth and development according to previous report (Murphy and De Smet, 2014). These information will provide insight into further gene cloning combined with the release of the gold O. longistaminata’s genome. Taken all the identified QTLs into consideration, no QTL for breaking strength was detected from 93-11 (Supplementary Figure 3), which indicates that wild rice O. longistaminata can significantly improve the lodging resistance of moderance rice. These QTLs identified in wild rice gave an insight into the genetic basis of lodging resistance.
TABLE 4

Putative genes at two quantitative trait loci (QTLs) regions for qLR1 and qLR8, associated with lodging resistance in rice.

QTLsGene IDStart site (bp)End site (bp)Function
qLR1MH01t0727000-13652309436523616Hypothetical protein
MH01t0727100-13652843536534828UDP-glucuronate:xylan alpha-glucuronosyltransferase 1
MH01t0727200-13653844036543325Probable pectinesterase/pectinesterase inhibitor 51
MH01t0727300-13654358336548625Hypothetical protein OsI_04663
MH01t0727400-13654970136550356Hypothetical protein
MH01t0727500-13655041436551069Cation/calcium exchanger 1
MH01t0727600-13655585936557636Acyl-[acyl-carrier-protein] desaturase 1; chloroplastic
MH01t0727700-13655790136559958Pentatricopeptide repeat-containing protein
MH01t0727800-13656010836568738CHD3-type chromatin-remodeling factor PICKLE
MH01t0727900-13656972636571938Putative clathrin assembly protein
qLR8MH01t0165000-0180810918086676Bifunctional epoxide hydrolase 2
MH01t0165100-0180873058088199Hypothetical protein
MH01t0165200-0180889858089633Unknown protein
MH01t0165400-0181040928104277Hypothetical protein
MH01t0165300-0181038878106234Hypothetical protein
MH01t0165500-0181091368112092Putative gypsy-type retrotransposon RIRE2
MH01t0165600-0181155428118452Putative retrotransposon protein
MH01t0165800-0181226888124339Hypothetical protein
MH01t0166000-0181252148125939Hypothetical protein
MH01t0166200-0181290378129919Hypothetical protein
MH01t0166300-0181317628132962Hypothetical protein
MH01t0166400-0181348388137516Disease resistance protein RGA2
MH01t0166500-0181406618144868Dynein 8 kDa light chain; flagellar outer arm
MH01t0166600-0181464968146816Indole-3-acetic acid-induced protein ARG2
MH01t0166700-0181488098149501Antigen-like protein
MH01t0166800-0181502638152690Putative AC transposase
MH01t0166900-0181606678169675Zinc finger CCCH domain-containing protein 4
MH01t0167000-0181708738174334Probable U6 snRNA-associated Sm-like protein LSm4
MH01t0167100-0181775288177923Protein RALF-like 33
MH01t0167200-018184849818540118.6 kDa class III heat shock protein
MH01t0167300-0181857888187121Flowering-promoting factor 1-like protein 1
Putative genes at two quantitative trait loci (QTLs) regions for qLR1 and qLR8, associated with lodging resistance in rice. In rice breeding, lodging resistance is one of the most essential characters required for breeding super high-yielding rice. Grain yield is the product of harvest index (HI) and biomass, and previous studies have shown that increasing plant height can increase biomass. Here, two newly identified QTLs, qLR1 and qLR8, both improved stem breaking strength in rice. Furthermore, the former can also improve stem diameter and stem length. These two QTLs do not overlap with any previous reports. It is expected that, when these two QTLs are pyramided together, they can greatly improve lodging resistance in rice. Thus these two QTLs can serve as new resources for breeding superyielding rice varieties.

Data Availability Statement

The raw data for this study can be found in the BioProject ID PRJNA615752 on NCBI. The URL is https://www.ncbi.nlm.nih.gov/sra/?term=PRJNA615752.

Author Contributions

SL and WL conceived and planned the work. WL, DD, ZY, YC, and WY performed phenotypic screening. SL, NL, and JJ developed the population. WL analyzed the genotypic data. WL, ZZ, and SL drafted the manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Review 2.  Understanding the RALF family: a tale of many species.

Authors:  Evan Murphy; Ive De Smet
Journal:  Trends Plant Sci       Date:  2014-07-03       Impact factor: 18.313

3.  Improvement of lodging resistance with QTLs for stem diameter in rice (Oryza sativa L.).

Authors:  Takayuki Kashiwagi; Eiji Togawa; Naoki Hirotsu; Ken Ishimaru
Journal:  Theor Appl Genet       Date:  2008-06-25       Impact factor: 5.699

4.  'Green revolution' genes encode mutant gibberellin response modulators.

Authors:  J Peng; D E Richards; N M Hartley; G P Murphy; K M Devos; J E Flintham; J Beales; L J Fish; A J Worland; F Pelica; D Sudhakar; P Christou; J W Snape; M D Gale; N P Harberd
Journal:  Nature       Date:  1999-07-15       Impact factor: 49.962

5.  New approach for rice improvement using a pleiotropic QTL gene for lodging resistance and yield.

Authors:  Taiichiro Ookawa; Tokunori Hobo; Masahiro Yano; Kazumasa Murata; Tsuyu Ando; Hiroko Miura; Kenji Asano; Yusuke Ochiai; Mayuko Ikeda; Ryoichi Nishitani; Takeshi Ebitani; Hidenobu Ozaki; Enrique R Angeles; Tadashi Hirasawa; Makoto Matsuoka
Journal:  Nat Commun       Date:  2010-11-30       Impact factor: 14.919

6.  Potential Yield Increase of Hybrid Rice at Five Locations in Southern China.

Authors:  Peng Jiang; Xiaobing Xie; Min Huang; Xuefeng Zhou; Ruichun Zhang; Jiana Chen; Dandan Wu; Bing Xia; Hong Xiong; Fuxian Xu; Yingbin Zou
Journal:  Rice (N Y)       Date:  2016-03-17       Impact factor: 4.783

7.  Molecular Mapping of QTLs Associated with Lodging Resistance in Dry Direct-Seeded Rice (Oryza sativa L.).

Authors:  Shailesh Yadav; Uma M Singh; Shilpa M Naik; Challa Venkateshwarlu; Perumalla J Ramayya; K Anitha Raman; Nitika Sandhu; Arvind Kumar
Journal:  Front Plant Sci       Date:  2017-08-21       Impact factor: 5.753

8.  Finding the superior allele of japonica-type for increasing stem lodging resistance in indica rice varieties using chromosome segment substitution lines.

Authors:  Indria Wahyu Mulsanti; Toshio Yamamoto; Tadamasa Ueda; Ahmad Fahim Samadi; Eri Kamahora; Indrastuti Apri Rumanti; Vo Cong Thanh; Shunsuke Adachi; Sakae Suzuki; Motoki Kanekatsu; Tadashi Hirasawa; Taiichiro Ookawa
Journal:  Rice (N Y)       Date:  2018-04-18       Impact factor: 4.783

9.  Characterization of a new semi-dominant dwarf allele of SLR1 and its potential application in hybrid rice breeding.

Authors:  Zhigang Wu; Ding Tang; Kai Liu; Chunbo Miao; Xiaoxuan Zhuo; Yafei Li; Xuelin Tan; Mingfa Sun; Qiong Luo; Zhukuan Cheng
Journal:  J Exp Bot       Date:  2018-09-14       Impact factor: 6.992

10.  Deletions linked to PROG1 gene participate in plant architecture domestication in Asian and African rice.

Authors:  Yongzhen Wu; Shuangshuang Zhao; Xianran Li; Bosen Zhang; Liyun Jiang; Yanyan Tang; Jie Zhao; Xin Ma; Hongwei Cai; Chuanqing Sun; Lubin Tan
Journal:  Nat Commun       Date:  2018-10-08       Impact factor: 14.919

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  4 in total

1.  The Transcriptome and Metabolome Reveal the Potential Mechanism of Lodging Resistance in Intergeneric Hybrids between Brassica napus and Capsella bursa-pastoris.

Authors:  Libin Zhang; Liyun Miao; Jianjie He; Huaixin Li; Maoteng Li
Journal:  Int J Mol Sci       Date:  2022-04-19       Impact factor: 6.208

2.  QTL Identification for Stem Fiber, Strength and Rot Resistance in a DH Population from an Alien Introgression of Brassica napus.

Authors:  Yujiao Shao; Yusen Shen; Feifei He; Zaiyun Li
Journal:  Plants (Basel)       Date:  2022-01-29

3.  Whole Genome Resequencing of 20 Accessions of Rice Landraces Reveals Javanica Genomic Structure Variation and Allelic Genotypes of a Grain Weight Gene TGW2.

Authors:  Weixiong Long; Lihua Luo; Laiyang Luo; Weibiao Xu; Yonghui Li; Yaohui Cai; Hongwei Xie
Journal:  Front Plant Sci       Date:  2022-04-25       Impact factor: 5.753

Review 4.  Breeding rice for a changing climate by improving adaptations to water saving technologies.

Authors:  Maria Cristina Heredia; Josefine Kant; M Asaduzzaman Prodhan; Shalabh Dixit; Matthias Wissuwa
Journal:  Theor Appl Genet       Date:  2021-07-03       Impact factor: 5.699

  4 in total

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