Abstract
Rice is the most important staple food crop, and it feeds more than half of the world population. Brown planthopper (BPH) is a major insect pest of rice that causes 20–80% yield loss through direct and indirect damage. The identification and use of BPH resistance genes can efficiently manage BPH. A molecular marker-based genetic analysis of BPH resistance was carried out using 101 BC1F5 mapping population derived from a cross between a BPH-resistant indica variety Khazar and an elite BPH-susceptible line Huang–Huan–Zhan. The genetic analysis indicated the existence of Mendelian segregation for BPH resistance. A total of 702 high-quality polymorphic single nucleotide polymorphism (SNP) markers, genotypic data, and precisely estimated BPH scores were used for molecular mapping, which resulted in the identification of the BPH38(t) locus on the long arm of chromosome 1 between SNP markers 693,369 and id 10,112,165 of 496.2 kb in size with LOD of 20.53 and phenotypic variation explained of 35.91%. A total of 71 candidate genes were predicted in the detected locus. Among these candidate genes, LOC_Os01g37260 was found to belong to the FBXL class of F-box protein possessing the LRR domain, which is reported to be involved in biotic stress resistance. Furthermore, background analysis and phenotypic selection resulted in the identification of introgression lines (ILs) possessing at least 90% recurrent parent genome recovery and showing superior performance for several agro-morphological traits. The BPH resistance locus and ILs identified in the present study will be useful in marker-assisted BPH resistance breeding programs.
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Introduction
Rice is an essential cereal crop that feeds more than 3.5 billion people globally. There is a need to increase rice production by up to 42% by 2025 to feed the ever-increasing population (Seck et al. 2012; Ray et al. 2013). Additionally, about 52% of world rice production is lost annually because of living organisms, of which approximately 21% alone is contributed by the incidence of insect pests (Khush 1979; Sogawa et al. 2003). Among these insect pests, brown planthopper (BPH; Nilaparvata lugens Stal.) is one of the major devastating sap-sucking pests, prevalent throughout the rice-growing countries of Asia (Normile 2008). BPH causes significant damage to the rice crop by sucking sap from the xylem and phloem tissues, which ultimately leads to “hopperburn” and, hence, eventually complete yield loss. Besides the direct damage caused by BPH, it causes indirect damage by transmitting viruses (rice grassy stunt virus and ragged stunt virus) that also results in a yield penalty (Sogawa1982; Cha et al. 2008; Cabauatan et al. 2009).
Different pest management strategies are available to manage the damage caused by insect pests, including chemical control, improving field practices, and developing and cultivating resistant varieties. However, excessive use of chemicals for BPH management is hazardous to human health, cost-ineffective; and unsafe for the environment and natural biodiversity. Additionally, these chemicals would increase pest outbreak incidences as they can kill the natural predators and their competitors, which feed on BPH (Tanaka et al. 2000). Alternatively, the most durable, precise, and environmentally friendly strategy is to develop a sustainable host-plant resistance management system, which makes it possible to reduce pest incidence, maintain ecological fitness, and keep infestation below economic threshold levels (Brar et al. 2009).
To date, 37 BPH resistance genes have been reported from different resistance sources (Li et al. 2019; Yang et al. 2019; Yuexiong et al. 2019). Notably, the majority of the BPH resistance genes are mapped on six of the 12 chromosomes (2, 3, 4, 6, 11, and 12) and, reportedly, four clusters of BPH resistance loci are located on three chromosomes. Cluster A is located on the long arm of chromosome12 and contains eight loci. Clusters B and D are located on the short and long arm of chromosome 4 containing 13 and four QTL/gene loci, respectively, including the recently identified BPH34, BPH30, and BPH36 resistance genes located on chromosome 4 (Li et al. 2019; Wang et al. 2018; Kumar et al. 2018). Cluster C is located on the short arm of chromosome 6, which includes six gene loci (Fujita et al. 2013). Out of 34 BPH resistance genes, 20 genes were fine mapped and only eight were cloned and characterized (BPH14, BPH17, BPH18, BPH26, BPH29, BPH9, BPH32, and BPH6) (Du et al. 2009; Tamura et al. 2014; Liu et al. 2015; Wang et al. 2015; Ji et al. 2016; Ren et al. 2016; Zhao et al. 2016; Guo et al. 2018). Wang et al. (2018) mapped BPH30 by using F2:3 populations AC1613/9311 and fine mapped by using backcrossed population on the short arm of the chromosome 4. Later, population derived from Kangwengingzhan/RBPH16 and HHZ/RBPH17 (lines RBHH16 and RBPH17 derived from O. rufipogon accession GX2183) were used to map BPH36 and BPH27 on chromosome 4 [BPH27 already reported by Huang et al. (2013) on Chromosome 4], and BPH36 were fine mapped by using backcross population (Li et al. 2019). Recently, Yang et al. (2019) mapped a novel QTL BPH37 by using F2:3 population derived from KWQZ/IR64 on chromosome 1, between RM 302 and YM35 markers. It is already reported that IR64 is harboring a major resistant gene BPH1 on chromosome 12 and minor QTLs associated with BPH resistance, whereas BPH37 is a second major resistance locus was reported on chromosome 1. Although, unlike blast resistance genes, the cloned BPH resistance genes encode several kinds of proteins such as lectin kinase (BPH17), B3 DNA binding protein (BPH29), SCR domain (BPH32), and exocyst-localized unknown protein (BPH6), three popular BPH resistance genes (BPH26, BPH18, and BPH9) encode a member of coiled-coil–nucleotide-binding site–leucine-rich repeat (CC-NBS-LRR) (Du et al. 2009; Tamura et al. 2014; Liu et al. 2015; Wang et al. 2015; Ji et al. 2016; Ren et al. 2016; Zhao et al. 2016; Guo et al. 2018). This NBS-LRR protein family is involved in the activation of the salicylic acid (SA) dependent and jasmonic acid pathways that mediate sucking inhibition in the phloem sieve element and exhibits a high degree of resistance against different biotypes in India, Korea, and Japan. Hence, these BPH resistance genes encoding NBS-LRR protein family are being used in breeding programs to develop BPH resistant varieties (Suh et al. 2011; Ji et al. 2016; Jena et al. 2017).
Although significant achievements have been made in host-plant resistance to resist the attack of BPH by identifying and introgressing BPH resistance genes, the quick evolution of virulent BPH populations poses a primary concern (Naik et al. 2018). Hence, there is a need to explore more genetic variants from the diverse novel genes for building resistance to defend against the new virulent BPH populations to ultimately, attain durable and broad-spectrum resistance. To address these challenges, our study focused on (1) characterizing the resistance pattern of the parental lines and identifying novel BPH resistance sources (2) detecting the genomic regions conferring BPH resistance, and (3) selecting the introgression lines(ILs) possessing the highest similarity with the recurrent parent and donor genetic segment from a novel breeding strategy.
Materials and methods
Plant materials and development of mapping population
HHZ is a high-yielding indica variety, originated from Guangdong Province of China and used as the recurrent parent in our study (www.ricedata.cn/variety/varis/600877.htm). The elite cultivar, Khazar originated from Gilan Province, Iran, was used as the donor parent. Taichung Native 1 (TN1) and IR62 were used as susceptible and resistant checks, respectively, for BPH phenotypic screening.
A cross was made between HHZ and Khazar to generate F1 seeds, and the true F1 plants were backcrossed with HHZ to obtain BC1F1 plants. Initially, the derived 101 BC1F1 plants were subjected to bioassay to study the inheritance pattern of BPH resistance (Table 1). All the 101 BC1F1 plants were carefully rescued for generating BC1F2 populations. These BC1F2 plants advanced by the single seed descent (SSD) method until BC1F5 mapping population. The 101 BC1F5 plants generated were subjected to phenotypic and genotypic characterization to explore the hidden genetic variability by identifying the genomic regions conferring BPH resistance. Further, these plants were rescued after bioassay and advanced to BC1F6 for validation study, background analysis, and phenotypic selection for key agro-morphological traits (Fig. 1). All the 101 BC1F6 lines were utilized for validation and agronomic traits evaluation. A total of seven single BC1F6 plants (six plants possessing homozygous dominant allele and one plant possessing homozygous receive allele) were selected out of 101 BC1F6 lines based on the phenotypic similarity with the recurrent parent and subjected for background genotyping. On the other hand, the same set of 101 BC1F2 plants and their progenies (BC1F3) underwent a BPH bioassay at the Indonesian Center for Rice Research (ICRR), Sukamandi, to evaluate the BPH resistance against Sukamandi BPH population (Fig. 2).
Bioassay for the BPH resistance study
To conduct the BPH bioassay, a local BPH colony collected from Laguna Province and belonging to biotype 3 (Saxena and Barrion 1985) was used. The pure Laguna BPH colony was developed from the single colony of BPH collected from Laguna Province of the Philippines. These colonies were reared and maintained on susceptible cultivar TN1 in the biotic stress screen house (BSSH) facility at IRRI. The bioassay was conducted by following the modified seedbox method (MSB) as described by Jena et al. (2006) at both BC1F1 and BC1F5 generations. Seedlings of the mapping population, the parental lines, and resistant and susceptible checks at two- to the three-leaf stage (seven days old) were infested with second- or third-instar nymphs at a density of 10–12 nymphs per seedling. A uniform number of seedlings at two- to three-leaf stage were maintained before the infestation to provide a similar opportunity for all the individuals of the test entries. Once the susceptible check (TN1) started wilting (90%), data on seedling survival rate were recorded and finally expressed as a standard evaluation system (SES) score of 0–9 (IRRI 2014). Higher BPH scores indicate susceptibility and lower scores indicate the resistance response of the genotypes. The scoring pattern for BPH reaction is given in Supplementary Table 1 as mentioned in Prahalada et al. (2017).
High-resolution genotyping
The Infinium high-density SNP genotyping platform, 6 K SNP chip (Thomson et al. 2017), was used to carry out genotyping of the mapping population. This platform detects SNP alleles by adding fluorescence-labeled, allele-specific nucleotide (allele-specific hybridization) based on single-base extension and detection based on fluorescent color (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577349/). Genotyping data were generated in a HapMap format. The obtained polymorphic SNP markers were filtered for no calls and unexpected mono- and heteromorphic SNPs between parents (Prahalada et al. 2017), and prepared according to the QTL IciMapping ver.4.0 input file requirement for linkage map construction and QTL analysis.
Linkage map construction and QTL mapping
A total of 702 high-quality SNP data points, filtered out from the 6 K SNP chip, were used to construct the linkage map. The Kosambi mapping function was used to convert recombination fraction into mapping distance to anchor markers to the specified location (Kosambi 1944). The linkage map construction was determined by using the QTL analysis software, QTL IciMapping version 4.0 (Meng et al. 2015). Further, QTL mapping was carried out by using the precisely estimated phenotypic BPH SES scores and genotypic data on SNP markers. Composite interval mapping, which is based on a multiple regression model of maximum likelihood with a 1000 permutation test at P = 0.05, was used for the QTL analysis as it increases the statistical power and precision of the detected QTLs (Doerge and Churchill 1996; Prahalada et al. 2017; Mahender et al. 2019). LOD of 3.00 was considered as the threshold parameter for determining the significant QTLs among the detected QTLs.
Post-QTL analysis
In silico post-QTL analysis was performed based on the available information in rice databases: the MSU rice genome annotation project (https://rice.plantbiology.msu.edu/) and RiceXpro (https://ricexpro.dna.affrc.go.jp/). In order to predict the candidate genes associated with a BPH resistance reaction, the candidate genes within the detected locus were listed based on the physical position of the flanking markers. Among the candidate genes, the one that was reported to be involved in biotic stress resistance was considered as a probable candidate gene conferring BPH resistance.
Evaluation of mapping populations for agro-morphological traits
A total of 101 BC1F6 plants derived from 101 BC1F5 mapping population along with its parents were evaluated for the agro-morphological traits: days to 50% flowering (DFF), plant height (PH), tiller number (TN), grain yield (GY), and plot yield (PY). For the evaluation, a randomized complete block design (RCBD) was laid out, and the experiment was carried out with two replications in the 2017 wet season (WS). Each entry was planted in three rows, with 12 plants in each row having a space of 15 × 20 cm between the plants and the rows. DFF was recorded based on the number of days from sowing to 50% flowering in a population on a whole-plot basis. PH was measured from the base of the plant to the tip of the tallest tiller. TN was counted from each plant to express the average TN per plant. The data were recorded from 10 competitive plants from each plot that are chosen at random, and the mean values were computed for different lines. GY per plant and 33 plants per plot were weighed after proper drying (moisture content 12%) as described in Balachiranjeevi et al. (2018).
Statistical analysis
To analyze the extent of variation of the agro-morphological traits among the test lines, descriptive statistics showing the range, standard deviation (SD), and standard error of the mean (SEm) at P = 0.05 were used. The RCBD experimental design was used for conducting the bioassay and the agro-morphological evaluation considering four and two replications, respectively. Analysis of variance (ANOVA) was employed to assess the significance of the bioassay and agro-morphological evaluation at the level of significance P = 0.05. DMRT and Fisher’s t-test were used to determine the significant differences of the individual test entries for BPH resistance. Chi-square goodness of fit was used to analyze the segregation pattern of the markers and the phenotypic SES score. The multiple linear regression model of maximum likelihood was used to localize the genomic regions conferring BPH resistance (Prahalada et al. 2017).
Results
Bioassay and genetic analysis for BPH resistance
In order to study the mode of segregation of the BPH resistance derived from Khazar, genetic analysis was carried out. The parental lines (HHZ and Khazar) and their 101 derived BC1F5 lines along with the resistant check IR62 and susceptible check TN1 were evaluated for BPH resistance using the MSB method during the WS of 2017. The parental lines HHZ and Khazar scored 9 and 3, indicating a susceptible and resistance BPH reactions, respectively (Fig. 3). Additionally, chi-square goodness of fit was employed to fit the BPH SES scores of 101 BC1F1 mapping populations for normal Mendelian segregation. Among 101 BC1F1 plants, 42 and 59 plants showed resistance and susceptible reaction respectively; and non-significance for the observed and expected ratios, indicating Mendelian inheritance (χ2(0.52) = 1.62; Table 1). Hence, from these results, it is evident that a single gene/locus confers BPH resistance derived from Khazar.
Construction of a high-resolution linkage map
A total of 4606 SNPs extracted from the Infinium 6 K SNP chip were processed before subjecting them to linkage map construction and QTL analysis. SNP markers processing involved filtration for no-call SNPs, unexpected heterozygous, and monomorphic SNPs between parents. A total of 195, 45, and 3664 SNP markers were found to be no calls, unexpected heterozygous and monomorphic SNP markers, respectively. Hence, these markers were filtered out to retrieve a total of 702 high-quality polymorphic SNP markers for further analysis (Table 2). These sets of markers were also analyzed for segregation distortion and were found that all these markers followed Mendelian segregation at the P = 0.05 level of significance.
Furthermore, the filtered high-quality polymorphic SNP markers were used to construct the high-resolution linkage map. A total of 702 SNP markers were assigned to different chromosomes depending on the linkage distance. Chromosome 1 was covered by as many as 96 polymorphic markers. The highest number of SNP markers was found on chromosome 1, followed by chromosomes 3, 6, 7, 8, 11, 2, 5, 9, 4, 10 and 12. Apart from identifying the resolution of each chromosome, the percent polymorphism of SNP markers for each chromosome was also studied. The highest percent of polymorphism was attained for chromosome 1, followed by chromosomes 3 and 6 (Supplementary Table 2).
QTL analysis
The precisely estimated BPH SES scores of 101 BC1F5 lines and genotypic data from high-quality SNP markers were used for the molecular mapping of the genomic regions conferring BPH resistance. Composite interval mapping with the 1000 permutation test was considered for the QTL analysis to make it more stringent. This analysis resulted in the identification of a putative locus showing as high as 35.91% PVE with LOD of 20.53. This locus was detected on chromosome 1 between SNP markers 693,369 and id 10,112,165, between the physical positions 20,706,894 bp and 21,203,101 bp of 496.2 kb in size in the reference genome sequences of Nipponbare (IRGSP 1.0) (Table 3 and Fig. 4).
Background analysis and phenotypic evaluation of the selected BC1F6 plants
Six out of seven selected BC1F6 plants (from the 101 BC1F6 lines # LBS-004, LBS-009, LBS-011, LBS-013, LBS-017, and LBS-020) were carrying homozygous dominant allele of BPH38(t) locus (RR) while one BC1F6 plant (# LBS-019) was carrying homozygous recessive allele (rr). All the seven BC1F6 plants underwent background analysis using 702 SNP markers and were further evaluated to confirm their resistance reaction against BPH infestation. Background analysis was carried out to compute the percent recovery of the recurrent parent genome and size of the donor parent segment. The percent recovery of the recurrent parent genome ranged from 85.16 to 91.91% among the selected BC1F6 lines possessing BPH38(t) locus. The IL LBS-013 showed the highest percent recovery of the recurrent parent genome (91.91%), whereas LBS-017 showed the lowest percent recovery (85.16%). However, except for line LBS-019, all other ILs showed the introgressed donor segment of 496.2 kb in size, thus confirming the introgression of the donor segment (Fig. 5). Hence, as expected, all of the ILs except for LBS-019 showed an SES score of 3, indicating a high BPH resistance reaction and as the effect of the detected BPH resistance locus (Table 4).
Further, the 101 BC1F6 individuals were evaluated to assess their performance for key agro-morphological traits such as DFF, PH, TN, GY, and PY, along with donor and recurrent parents (Table 5). All the selected ILs exhibited taller plant type ranging from 99.11 cm to 115.20 cm compared with the recurrent parent HHZ (91.51 cm). A significant difference was observed for TN per plant ranged from 12.61 to 14.81, whereas the recurrent parent HHZ showed 12 TN per plant. For GY per plant and PY, two ILs (LBS-011and LBS-009) exhibited an advantage over HHZ. Three ILs (LBS-004, LBS-020, and LBS-013) were isophenic, and the remaining two ILs (LBS-017 and LBS-019) showed significantly lower GY. For DFF, IL LBS-019 (80 days) showed significantly lower DFF than HHZ (94 days), as shown in Table 5.
Candidate gene analysis
In silico candidate gene analysis was performed by using online MSU and RiceXpro databases, and in these 71 candidate genes present within the vicinity of the flanking markers 693,369 and id 10,112,165 were retrieved. Most of them are expressed and retrotransposon proteins (Supplementary Table 3). Among all the candidate genes, LOC_Os01g37260 is found near left SNP marker 693,369 (physical position 20,706,894 Mb) within a physical distance of 98.90 kb. This gene encodes OsFBX14, an F-box protein of FBXL class containing the LRR domain, which is proven to be involved in biotic stress resistance (Jin et al. 2004; Jain et al. 2007). However, research is ongoing to test these candidate genes for their relevance in the phenotypic expression of BPH resistance.
Discussion
The increased density of BPH populations causes “hopper burn” symptom, which ultimately leads to complete death of rice plants (Prahalada et al. 2017). Although several strategies are available to manage BPH infestation, building BPH resistance in rice plants by identifying and introgressing BPH resistance genes is the most convenient and efficient strategy. To date, 37 BPH resistance genes have been identified from cultivated and wild species of Oryza:BPH1, BPH2, BPH3, BPH4, BPH5, BPH6, BPH7, BPH8, BPH9, BPH10, BPH11(t), BPH12(t),BPH12, BPH13(t), BPH14, BPH15, BPH16(t), BPH17, BPH18, BPH19(t), BPH20, BPH21, BPH22(t), BPH23(t),BPH24(t), BPH25(t), BPH26(t), BPH27, BPH28, BHP29,BPH30, BPH31, BPH32,BPH33, BPH3 and BPH35, BPH36 and BPH37 (Khush et al. 1985; Kabis and Khush 1988; Nemoto et al. 1989; Ishii et al. 1994; Murata et al. 1998; Hirabayashi et al. 1998; Renganayaki et al. 2002; Yanget al. 2002; Sharma et al. 2003; Yang et al. 2004; Hirabayashi et al. 2004; Sun et al. 2005; Chang-Chao et al. 2006; Chen et al. 2006; Jena et al. 2006; Sai Harini et al 2010; Jairin et al. 2007, 2010; Li et al. 2019; Ram et al. 2008; Rahman et al. 2009; Du et al. 2009; Qiu et al. 2010; Deen et al. 2010; Qiu et al. 2012; Myint et al. 2012; Huang et al. 2013; Wu et al. 2014; Wang et al. 2015; Wang et al. 2018; Ren et al. 2016; Prahalada et al. 2017; Kumar et al. 2018; Naik et al. 2018; Yang et al. 2019; Yuexiong et al. 2019). Among these, only eight genes (BPH14, BPH17, BPH18, BPH26, BPH29, BPH9, BPH32, BPH31 and BPH6) were cloned and characterized (Du et al. 2009; Tamura et al. 2014; Liu et al. 2015; Wang et al. 2015; Ji et al. 2016; Ren et al. 2016; Zhao et al. 2016; Guo et al. 2018). However, most of the mapped resistance genes were only effective against a single BPH population/biotype (Horgan et al. 2015). Notably, several BPH resistance genes have been broken down by the evolution of new BPH biotypes, resulting in significant losses of rice production (Liu et al. 2015). Hence, it is imperative to identify new sources of BPH resistance and use them in a crop improvement program. In our study, we carried out high-resolution mapping of BPH resistance derived from Khazar and HHZ and mapped a new BPH resistance locus, BPH38(t), on the long arm of chromosome 1. This locus is located between SNP markers 693,369 and id 10,112,165, within the physical positions of 20.71 Mb and 21.23 Mb and having a size of 496.20 kb. This is the third BPH gene reported on chromosome 1 after BPH33(t), which was reported by Naik et al. (2018) within the physical region of 24.52 Mb and 25.51 Mb, and, recently, Yang et al. (2019) reported a novel QTL BPH35 on chromosome 1 between RM302 and YM35 markers with in a physical distance of 32.98 Mb using IR64 as donor parent derived population. However, the location of the reported BPH38(t) locus in our study is novel as this is the first report on the detected locus from the donor. Early backcross generation BC1F5 plants derived from the novel Green Super Rice breeding strategy were used for the localization of genomic regions conferring BPH resistance. Analogous to our study, several researchers also used early backcross progenies for molecular mapping for locating the genomic regions conferring several beneficial traits. Tamura et al. (1999) detected the Grh1 gene on chromosome 1 by using a backcross population and applying RFLP markers and linkage mapping. Similarly, one of the most used broad-sense bacterial blight (BB) resistance genes, Xa27(t), was also identified using an early backcross generation. Xa27(t) was transferred from tetraploid wild rice Oryza minuta into cultivated O. sativa and is being used in several BB resistance breeding programs (Gu et al. 2005).
The bioassay was conducted using the BPH colony collected from Laguna Province of the Philippines popularly called the Laguna colony. The bioassay revealed that the parent Khazar was the source for BPH resistance with a BPH SES score of 3 and the recurrent parent HHZ exhibited a susceptible reaction with a score of 9. The individuals of the mapping population exhibited a wide range of BPH SES scores ranging from 3 to 9. The frequency distribution of the SES scores of the mapping population showed a bimodal type of segregation, indicating Mendelian segregation of the BPH resistance. Furthermore, BPH resistance scores were tested for the chi-square goodness of fit, which also confirmed the monogenic inheritance of the BPH resistance factor (χ2(0.52) = 1.62; Table 1). This result is also supported by the QTL mapping result, which showed high LOD and PVE for the identified BPH38(t) (Table 3; Fig. 4).
Several studies describe the mechanism of BPH resistance by cloning and characterizing several BPH resistance genes. These studies describe the BPH resistance influenced by candidate genes and their association with the chemical composition of the phloem sap, especially primary and secondary dietary metabolites. Salicylic acid (SA) is one of the metabolites reportedly involved in the BPH resistance mechanism (Du et al. 2009). The first cloned BPH14 resistance gene and later cloned, BPH26, BPH29, BPH9, and BPH18 were found to be involved in triggering the induction of SA through the signaling pathway and callous deposition in the phloem tissues coupled with trypsin secretion, which causes inhibition of sucking in the phloem and, hence, resistance (Du et al. 2009; Liu et al. 2015; Wang et al. 2015; Zhao et al. 2016; Ji et al. 2016; Prahalada et al. 2017). Similar to these researches, we have also explored the detected BPH resistance locus to identify the probable candidate gene involved in BPH resistance by applying recent genomics and bioinformatics tools. A genomic segment of BPH38(t) of 496.20 kb in size mapped in this study contained a minimum of 71 candidate genes. Most of the candidate genes within the locus were reported to be an encoding group of retrotransposon proteins followed by expressed proteins and other different kinds of proteins that were not associated with any biotic resistance (Supplementary Table 3). Interestingly, in our current study, we have also found a candidate gene LOC_Os01g37260, which is ~ 90.61 kb near the detected BPH38(t) resistance locus that encodes for F-box protein. F-box proteins constitute a large family in eukaryotes and are characterized by a conserved F-box motif (approximately 40 amino acids) at their N terminus that interacts with Skp1p-cullin-F-box (SCF) protein, which is a major class of plant E3 ligases (Jain et al. 2007). The name F-box was given because it was identified first in the N-terminal region of cycline F (Bai et al. 1994). The C terminus of F-box proteins generally contains one or several highly variable protein–protein interaction domains, including leucine-rich repeat (LRR) (Jin et al. 2004). Furthermore, there are 687 F-box proteins, and they have ten different domains, out of which FBLD and FBXL are the F-box protein subfamilies that possess the LRR domain in nine different categories (Jain et al. 2007). The candidate gene LOC_Os01g37260 is one among those F-box proteins (https://rice.plantbiology.msu.edu/cgi-bin/ORF_infopage.cgi?orf=LOC_Os01g37260.1) that possesses the LRR domain at the interaction with the C terminus, which is reported to be involved in the salicylic acid signaling pathway to attain high BPH resistance which consequently acts as a defense against BPH attack (Yan et al. 2009; Ji et al. 2016). However, more observations and further research are needed to confirm the involvement of the candidate gene LOC_Os01g37260 in the expression of BPH resistance.
The recurrent parent HHZ is a commercially released mega-variety, originating from Guangdong Province of China that is susceptible to BPH. The ILs were generated by introgressing the BPH38(t) locus and initially subjected to background analysis to select the lines with maximum recovery of the recurrent parent genome, and the same set of lines was used for the bioassay to study the effectiveness of the BPH38(t) locus. The ILs LBS-013 and LBS-004 showed 91.91% and 91.85% recurrent parent genome, respectively, and were found to possess the BPH38(t) locus. Notably, positive ILs possessing BPH38(t) exhibited a high level of BPH resistance compared with that of the background line HHZ. On the contrary, ILs without BPH38(t) showed a similar level of BPH reaction (susceptibility) as HHZ confirmed the efficacy of the BPH38(t) locus (Table 4; Fig. 5). These lines also showed superior yield and yield-associated traits, especially LBS-011 and LBS-009, which showed the highest yield of 5.85 and 5.05 t ha−1, respectively. On the other hand, the IL LBS-019 showed the highest recurrent parent genome recovery (92.33%) without exhibiting any resistance against BPH as it did not carry the BPH38(t) locus and was also not superior in agro-morphological characters in comparison to ILs carrying the BPH38(t) locus (Table 5). One backcross was made and was followed by six generations of selfing, which led to the higher recurrent parent genome recovery levels (85.16–91.91%) (Table 4; Hasan et al. 2015). Thus, our study not only detected a locus conferring BPH resistance but could also able to identify ILs that were ready to be used as breeding products. Hence, we strongly believe that the achievements of our study can help manage the BPH insect pests to a great extent.
References
Bai C, Richman R, Elledge SJ (1994) Human cyclin F. EMBO J 13:6087–6098
Balachiranjeevi CH, Naik SB, Kumar VA et al (2018) Marker-assisted pyramiding of two major, broad-spectrum bacterial blight resistance genes, Xa21 and Xa33 into an elite maintainer line of rice, DRR17B. PLoS ONE 13(10):e0201271. https://doi.org/10.1371/journal.pone.0201271
Brar DS, Virk PS, Jena KK, Khush GS (2009) Breeding for resistance to planthoppers in rice. Planthoppers: new threats to the sustainability of intensive rice production systems in Asia. International Rice Research Institute, Los Baños, Philippines, pp 401–428
Cabauatan PQ, Cabunagan RC, Choi I-R (2009) Rice viruses transmitted by the brown planthopper Nilaparvata lugens Stål. Planthoppers: new threats to the sustainability of intensive rice production systems in Asia. International Rice Research Institute, Los Baños, Philippines, pp 357–368
Cha Y, Ji H, Yun D et al (2008) Fine mapping of the rice Bph1 gene, which confers resistance to the brown planthopper (Nilaparvata lugens Stal), and development of STS markers for marker-assisted selection. Mol Cells 26:146–151
Chang-Chao SU, Hu-Qu Z, Chun-Ming W et al (2006) SSR mapping of brown planthopper resistance gene Bph9 in Kaharamana, an indica rice (Oryza sativa L). Acta Genet Sin 33:262–268
Chen JW, Wang L, Pang XF, Pan QH (2006) Genetic analysis and fine mapping of a rice brown planthopper (Nilaparvata lugens Stål) resistance gene bph19(t). Mol Genet Genomics 275:321–329. https://doi.org/10.1007/s00438-005-0088-2
Deen R, Ramesh K, Gautam SK et al (2010) Identification of new gene for BPH resistance introgressed from O. rufipogon. Rice Genet Newsl 25:70–72
Doerge RW, Churchill GA (1996) Permutation tests for multiple loci affecting a quantitative character. Genetics 142:285–294
Du B, Zhang W, Liu B et al (2009) Identification and characterization of Bph14, a gene conferring resistance to brown planthopper in rice. Proc Natl Acad Sci USA 106:22163–22168
Fujita D, Kohli A, Horgan FG (2013) Rice resistance to planthoppers and leafhoppers. Crit Rev Plant Sci 32(3):162–191
Gu K, Yang B, Tian D et al (2005) R gene expression induced by a type-III effector triggers disease resistance in rice. Nature 435:1122–1125
Guo JP, Xu CX, Wu D et al (2018) Bph6 encodes an exocyst-localized protein and confers broad resistance to planthoppers in rice. Nat Genet 50:297–306
Hasan MM, Rafii MY, Ismail MR et al (2015) Marker-assisted backcrossing: a useful method for rice improvement. Biotechnol Equip 29:237–254
Hirabayashi H, Ideta O, Sato H et al (2004) Identification of a resistance gene to brown planthopper derived from Oryza minuta in rice. Breed Res 6:285
Hirabayashi H, Angeles ER, Kaji R, et al (1998) Identification of brown planthopper resistance gene derived from O. officinalis using molecular markers in rice. Breed Sci 48:82–86
Horgan FG, Ramal AF, Bentur JS et al (2015) Virulence of brown planthopper (Nilaparvata lugens) populations from South and South East Asia against resistant rice varieties. Crop Prot 78:222–231
Huang D, Qiu Y, Zhang Y et al (2013) Fine mapping and characterization of BPH27, a brown planthopper resistance gene from wild rice (Oryza rufipogon Griff.). Theor Appl Genet 126:219–229. https://doi.org/10.1007/s00122-012-1975-7
IRRI (2014) Standard evaluation system for rice (SES), 5th edn. International Rice Research Institute, Los Baños
Ishii T, Brar DS, Multani DS, Khush GS (1994) Molecular tagging of genes for brown planthopper resistance and earliness introgressed from Oryza australiensis into cultivated rice O. sativa. Genome 37:217–221. https://doi.org/10.1139/g94-030
Jain M, Nijhawan A, Arora R et al (2007) F-box proteins in rice: genome-wide analysis, classification, temporal and spatial gene expression during panicle and seed development, and regulation by light and abiotic stress. Plant Physiol 143:1467–1483
Jairin J, Phengrat K, Teangdeerith S et al (2007) Mapping of a broad-spectrum brown planthopper resistance gene, Bph3, on rice chromosome 6. Mol Breed 19:35–44
Jairin J, Sansen K, Wongboon W, Kothcharerk J (2010) Detection of a brown planthopper resistance gene bph4 at the same chromosomal position of Bph3 using two different genetic backgrounds of rice. Breed Sci 60:71–75. https://doi.org/10.1270/jsbbs.60.71
Jena KK, Hechanova SL, Verdeprado H et al (2017) Development of 25 near-isogenic lines (NILs) with ten BPH resistance genes in rice (Oryza sativa L.): production, resistance spectrum, and molecular analysis. Theor Appl Genet 130:2345–2360. https://doi.org/10.1007/s00122-017-2963-8
Jena KK, Jeung JU, Lee JH et al (2006) High-resolution mapping of a new brown planthopper (BPH) resistance gene, Bph18(t), and marker-assisted selection for BPH resistance in rice (Oryza sativa L.). Theor Appl Genet 112:288–297. https://doi.org/10.1007/s00122-005-0127-8
Ji H, Kim SR, Kim YH et al (2016) Map-based cloning and characterization of the BPH18 gene from wild rice conferring resistance to brown planthopper (BPH) insect pest. Sci Rep 6:1–13. https://doi.org/10.1038/srep34376
Jin J, Cardozo T, Lovering CR et al (2004) Systematic analysis and nomenclature of mammalian F-box proteins. Genes Dev 18:2573
Kabis A, Khush GS (1988) Genetic analysis of resistance to brown planthopper in rice (Oryza sativa L.). Plant Breed 100:54–58
Khush GS (1979) Genetics of and breeding for resistance to the brown planthopper. Brown planthopper: threat to rice production in Asia. International Rice Research Institute, Los Baños, pp 321–332
Khush GS, Karim ANMR, Angeles ER (1985) Genetics of resistance of rice cultivar ARC10550 to Bangladesh brown planthopper teletype. J Genet 64:121–125
Kosambi DD (1944) The estimation of map distances from recombination values. Ann Eugenics 12:172–175
Kumar K, Sarao PS, Bhatia D et al (2018) High-resolution genetic mapping of a novel brown planthopper resistance locus, Bph34 in Oryza sativa L X Oryza nivara (Sharma & Shastry) derived inter-specific F2 population. Theor Appl Genet 131:1163–1171. https://doi.org/10.1007/s00122-018-3069-7
Li Z, Xue Y, Zhou H, et al (2019) High-resolution mapping and breeding application of a novel brown planthopper resistance gene derived from wild rice (Oryza. rufipogon Griff). Rice 12:41. https://doi.org/10.1186/s12284-019-0289-7
Liu Y, Wu H, Chen H et al (2015) A gene cluster encoding lectin receptor kinases confers broad-spectrum and durable insect resistance in rice. Nat Biotechnol 33:301–307. https://doi.org/10.1038/nbt.3069
Mahender A, Ali J, Prahalada GD et al (2019) Genetic dissection of developmental responses of agro-morphological traits under different doses of nutrient fertilizers using high-density SNP markers. PLoS ONE 14(7):e0220066. https://doi.org/10.1371/journal.pone.0220066
Meng L, Li H, Zhang L, Wang J (2015) QTL IciMapping: Integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations. Crop J 3:269–283
Murata K, Fujiwara M, Kaneda C et al (1998) RFLP mapping of a brown planthopper (Nilaparvata lugens Stal) resistance gene bph2 of indica rice introgressed into a japonica breeding line “Norin-PL4”. Genes Genet Syst 73:359–364. https://doi.org/10.1266/ggs.73.359
Myint KKM, Fujita D, Matsumura M et al (2012) Mapping and pyramiding of two major genes for resistance to the brown planthopper (Nilaparvata lugens [Stål]) in the rice cultivar ADR52. Theor Appl Genet 124:495–504. https://doi.org/10.1007/s00122-011-1723-4
Naik SB, Divya D, Sahu N et al (2018) A new gene Bph33(t) conferring resistance to brown planthopper (BPH), Nilaparvata lugens (Stål) in rice line RP2068-18-3-5. Euphytica 214:53
Nemoto H, Ikeda R, Kaneda C (1989) New genes for resistance to brown planthopper, Nilaparvata lugens Stal, in rice. Jpn J Breed 39:23–28
Normile D (2008) Reinventing rice to feed the world. Science 321:330–333
Prahalada GD, Shivakumar N, Lohithaswa HC et al (2017) Identification and fine mapping of a new gene, BPH31 conferring resistance to brown planthopper biotype 4 of India to improve rice, Oryza sativa L. Rice 10:41. https://doi.org/10.1186/s12284-017-0178-x
Qiu Y, Guo J, Jing S et al (2010) High-resolution mapping of the brown planthopper resistance gene Bph6 in rice and characterizing its resistance in the 9311 and Nipponbare near isogenic backgrounds. Theor Appl Genet 121:1601–1611. https://doi.org/10.1007/s00122-010-1413-7
Qiu Y, Guo J, Jing S et al (2012) Development and characterization of japonica rice lines carrying the brown planthopper-resistance genes BPH12 and BPH6. Theor Appl Genet 124:485–494. https://doi.org/10.1007/s00122-011-1722-5
Rahman ML, Jiang W, Chu SH et al (2009) High-resolution mapping of two rice brown planthopper resistance genes, Bph20(t) and Bph21(t), originating from Oryza minuta. Theor Appl Genet 119:1237–1246. https://doi.org/10.1007/s00122-009-1125-z
Ram T, Deen R, Gautam S et al (2008) Identification of new genes for brown planthopper resistance in rice introgressed from O. glaberrima and O. minuta. Rice Genet Newsl 25:67–68
Ray DK, Mueller ND, West PC, Foley JA (2013) Yield trends are insufficient to double global crop production by 2050. PLoS ONE 8:e66428
Ren J, Gao F, Wu X et al (2016) Bph32, a novel gene encoding an unknown SCR domain-containing protein, confers resistance against the brown planthopper in rice. Sci Rep 6:1–14. https://doi.org/10.1038/srep37645
Renganayaki K, Fritz AK, Sadasivam S et al (2002) Mapping and progress toward map-based cloning of brown planthopper biotype-4 resistance gene introgressed from Oryza officinalis into cultivated rice, O sativa. Crop Sci 42:2112–2117. https://doi.org/10.2135/cropsci2002.2112
Sai Harini A, Santhana Lakshmi S, Sai Kumar S et al (2010) Validation and fine-mapping of genetic locus associated with resistance to brown planthopper [Nilaparvata lugens (Stal.)] in rice (Oryza sativa L.). Asian J Bio Sci 5(1):32–37.
Saxena RC, Barrion AA (1985) Biotypes of the brown planthopper Nilaparvata lugens (Stål) and strategies in deployment of host plant resistance. Int J Trop Insect Sci 6:271–289
Seck PA, Diagne A, Mohanty S, Wopereis MCS (2012) Crops that feed the world 7: rice. Food Secur 4:7–24
Sharma N, Ketipearachchi Y, Murata K et al (2003) RFLP/AFLP mapping of a brown planthopper (Nilaparvata lugens Stal) resistance gene Bph1 in rice. Euphytica 129:109–117. https://doi.org/10.1023/A:1021514829783
Sogawa K (1982) The rice brown planthopper: feeding physiology and host plant interactions. Annu Rev Entomol 27:49–73
Sogawa K, Liu GJ, Shen JH (2003) A review on the hyper-susceptibility of Chinese hybrid rice to insect pests. Chin J Rice Sci 17:23–30
Suh J-P, Yang S-J, Jeung J-U et al (2011) Development of elite breeding lines conferring Bph18 gene-derived resistance to brown planthopper (BPH) by marker-assisted selection and genome-wide background analysis in japonica rice (Oryza sativa L.). Field Crops Res 120:215–222
Sun L, Su C, Wang C et al (2005) Mapping of a major resistance gene to the brown planthopper in the rice cultivar Rathu Heenati. Breed Sci 55:391–396. https://doi.org/10.1270/jsbbs.55.391
Tamura K, Fukuta Y, Hirae M et al (1999) Mapping of the Grh1 locus for green rice leafhopper resistance in rice using RFLP markers. Breed Sci 49:11–14
Tamura Y, Hattori M, Yoshioka H et al (2014) Map-based cloning and characterization of a brown planthopper resistance gene BPH26 from Oryza sativa L ssp indica cultivar ADR52. Sci Rep 4:5872
Tanaka K, Endo S, Kazano H (2000) Toxicity of insecticides to predators of rice planthoppers: spiders, the mirid bug and the dryinid wasp. Appl Entomol Zool 35:177–187
Thomson MJ, Singh N, Dwiyanti MS et al (2017) Large-scale deployment of a rice 6 K SNP array for genetics and breeding applications. Rice. https://doi.org/10.1186/s12284-017-0181-2
Wang Y, Cao L, Zhang Y et al (2015) Map-based cloning and characterization of BPH29, a B3 domain-containing recessive gene conferring brown planthopper resistance in rice. J Exp Bot 66:6035–6045. https://doi.org/10.1093/jxb/erv318
Wang H, Shi S, Guo Q et al (2018) High-resolution mapping of a gene conferring strong antibiosis to brown planthopper and developing resistant near-isogenic lines in 9311 background. Mol Breed 38:107. https://doi.org/10.1007/s11032-018-0859-1
Wu H, Liu Y, He J et al (2014) Fine mapping of brown planthopper (Nilaparvata lugens Stål) resistance gene Bph28(t) in rice (Oryza sativa L.). Mol Breed 33:909–918. https://doi.org/10.1007/s11032-013-0005-z
Yan J, Zhang C, Gu M et al (2009) The Arabidopsis CORONATINE INSENSITIVE1 protein is a jasmonate receptorCW. Plant Cell 21:2220–2236
Yang H, Ren X, Weng Q et al (2002) Molecular mapping and genetic analysis of a rice brown planthopper (Nilaparvata lugens Stål) resistance gene. Hereditas 136:39–43
Yang H, You A, Yang Z et al (2004) High-resolution genetic mapping at the Bph15 locus for brown planthopper resistance in rice (Oryza sativa L.). Theor Appl Genet 110:182–191. https://doi.org/10.1007/s00122-004-1844-0
Yang M, Cheng L, Yan L et al (2019) Mapping and characterization of a quantitative trait locus resistance to the brown planthopper in the rice variety IR64. Hereditas 156:22. https://doi.org/10.1186/s41065-019-0098-4
Yuexiong Z, Gang QIN, Qianqian MA et al (2019) Identification of a major resistance locus Bph35 to brown planthopper in rice (Oryza sativa L.). RICE SCI 2. http://www.ricescience.org/EN/abstract/abstract9847.shtml
Zhao Y, Huang J, Wang Z et al (2016) Allelic diversity in an NLR gene BPH9 enables rice to combat planthopper variation. Proc Natl Acad Sci USA 113:12850–12855. https://doi.org/10.1073/pnas.1614862113
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The authors acknowledge that this study was carried out by using Green Super Rice Project Funds (ID OPP1130530) for Zhikang Li, CAAS.
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Balachiranjeevi, C.H., Prahalada, G.D., Mahender, A. et al. Identification of a novel locus, BPH38(t), conferring resistance to brown planthopper (Nilaparvata lugens Stal.) using early backcross population in rice (Oryza sativa L.). Euphytica 215, 185 (2019). https://doi.org/10.1007/s10681-019-2506-2
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DOI: https://doi.org/10.1007/s10681-019-2506-2