Rice Genome Research Articles

Thousands of trait-specific KASP markers designed for diverse breeding applications in rice (Oryza sativa).

This study aimed to broaden applicability of KASP for Oryza sativa across diverse genotypes through incorporation of ambiguous (degenerate) bases into their primer designs and to validate 4000 of them for genotyping applications. A bioinformatics pipeline was used to compare 129 rice genomes from 89 countries with the indica reference genome R498 and generate ∼1.6 million KASP designs for the more common variants between R498 and the other genomes. Of the designs, 98,238 were for predicted functional markers. Up to five KASP each for 1024 breeder-selected loci were assayed in a panel of 178 diverse rice varieties, generating 3366 validated KASP. The 84% success rate was within the normal range for KASP demonstrating that the ambiguous bases do not compromise efficacy. The 3366-trait-specific marker panel was applied for population structure analysis in the diversity panel and resolved them into four expected groups. Target variations in thirteen of the genome sequences used for designs were compared with the corresponding KASP genotypes of other accessions of the same thirteen varieties in the diversity panel. There was agreement across 12 varieties for 79% of markers. Ten varieties had high agreement (>88%) but a variety selected from a landrace had only 46.5% agreement. Breeders can now search for the validated KASP and >1 million so-far untested designs across three alternative reference genomes (including Niponbare MSU7), search for designs proximal to previously published SSR markers and retrieve the target variations in 129 rice genomes plus their genomic locations with +/-25 bp flanking sequences.

Genome-Wide Association-Based Identification of Alleles, Genes and Haplotypes Influencing Yield in Rice (Oryza sativa L.) Under Low-Phosphorus Acidic Lowland Soils.

Rice provides poor yields in acidic soils due to several nutrient deficiencies and metal toxicities. The low availability of phosphorus (P) in acidic soils offers a natural condition for screening genotypes for grain yield and phosphorus utilization efficiency (PUE). The objective of this study was to phenotype a subset of indica rice accessions from 3000 Rice Genome Project (3K-RGP) under acidic soils and find associated genes and alleles. A panel of 234 genotypes, along with checks, were grown under low-input acidic soils for two consecutive seasons, followed by a low-P-based hydroponic screening experiment. The heritability of the agro-morphological traits was high across seasons, and Ward's clustering method identified 46 genotypes that can be used as low-P-tolerant donors in acidic soil conditions. Genotypes ARC10145, RPA5929, and K1559-4, with a higher grain yield than checks, were identified. Over 29 million SNPs were retrieved from the Rice SNP-Seek database, and after quality control, they were utilized for a genome-wide association study (GWAS) with seventeen traits. Ten quantitative trait nucleotides (QTNs) for three yield traits and five QTNs for PUE were identified. A set of 34 candidate genes for yield-related traits was also identified. An association study using this indica panel for an already reported 1.84 Mbp region on chromosome 2 identified genes Os02g09840 and Os02g08420 for yield and PUE, respectively. A haplotype analysis for the candidate genes identified favorable allelic combinations. Donors carrying the superior haplotypic combinations for the identified genes could be exploited in future breeding programs.

Active DNA Demethylation Mediated by OsGADD45a2 Regulates Growth, Development, and Blast (Magnaporthe oryzea) Resistance in Rice.

OsGADD45a1, a member of the growth arrest and DNA damage-inducible 45 (GADD45) family in rice, has a newly identified homologue, OsGADD45a2, which differs from OsGADD45a1 in only three amino acids. The role and function of the OsGADD45a2 in DNA demethylation are not well-understood and were investigated in this study. Osgadd45a2 mutants exhibited reduced height, shorter panicle length, fewer grains per panicle, and a lower seed setting rate compared with wild-type plants. Moreover, the results showed that OsGADD45a2 negatively regulates rice blast fungus resistance and exhibited high expression in various tissues. Using the 3000 Rice Genomes Project database, we identified four major haplotypes (each with over 100 cultivars) based on single-nucleotide polymorphisms in the coding sequence of OsGADD45a2. Among these, Hap4 was associated with a significantly greater plant height than Hap1-3, possibly due to a functional alteration of OsGADD45a2 linked to the SNP at position 2614993. In OsGADD45a2 overexpression lines, significant decreases in CG and CHG methylation levels were observed in protein-coding genes, leading to their upregulation. Overall, our findings indicate that OsGADD45a2 acts as a methylation regulator, mediating the expression of genes essential for plant growth and development and blast resistance.

Functional Diversification of Sec13 Isoforms for Storage Protein Trafficking in Rice Endosperm Cells.

Coat protein complex II (COPII) vesicles play crucial roles in mediating the endoplasmic reticulum (ER) exit of newly synthesized proteins to the Golgi in eukaryotic cells. However, the molecular functions of COPII components and their functional diversifications in plant seeds remain obscure. Here, we showed that the rice (Oryza sativa) glutelin precursor accumulation12 (gpa12) mutant is defective in storage protein export from the ER, resulting in the formation of aggregated protein bodies. Map-based cloning revealed that GPA12 encodes a COPII outer layer protein, Sec13a, that mainly localizes to endoplasmic reticulum exit sites (ERES) and partially localizes to the Golgi. Biochemical experiments verified that Sec13a physically interacts with Sec31 and Sec16, and mutation in Sec13 compromises its interaction with Sec31 and Sec16, thereby affecting the membrane association of the inner complex components Sar1b and Sec23c. Apart from Sec13a, the rice genome encodes two other Sec13 isoforms, Sec13b and Sec13c. Notably, we observed an abnormal accumulation of globular ER structures in the sec13bc double mutant but not in the single mutants, suggesting a functional redundancy of Sec13b and Sec13c in modulating ER morphology. Taken together, our results substantiated that Sec13a plays an important role in regulating storage protein export from the ER, while Sec13b and Sec13c are required for maintaining ER morphology in rice endosperm cells. Our findings provide insights into the functional diversification of COPII components in plants.

Cryptic cytoplasmic male sterility-causing gene in the mitochondrial genome of common japonica rice.

Cytoplasmic male sterility (CMS) is an agronomically significant trait that causes dysfunction in pollen and anther development. It is often observed during successive backcrossing between distantly related species. Here, we show that Asian japonica cultivars (Oryza sativa) exhibit CMS when the nucleus is replaced with that of the African rice Oryza glaberrima. The CMS line produced stunted anthers and did not set any seeds. Mitochondrial orf288 RNA was detected in the anthers of CMS lines but not in fertility restorer lines. The mitochondrial genome-edited japonica rice that was depleted of orf288 did not exhibit male sterility when backcrossed with O. glaberrima. These results demonstrate that orf288 is a CMS-causing gene. As orf288 commonly occurs in the mitochondrial genomes of japonica rice, these results indicate that common japonica rice cultivars possess a cryptic CMS-causing gene hidden in their mitochondrial genomes.

Application of CRISPR/Cas9 system to knock out GluB gene for developing low glutelin rice mutant

The nutritional quality improvement is among the most integral objective for any rice molecular breeding programs. The seed storage proteins (SSPs) have greater role to determine the nutritional quality of any cereal grains. Rice contains relatively balanced amino acid composition and the SSPs are fractioned into albumins (ALB), globulins (GLO), prolamins (PRO) and glutelins (GLU) according to differences in solubility. GLUs are further divided into subfamilies: GluA, GluB, GluC, and GluD depending on resemblance in amino acid. The GLU protein accounts for 60–80% of total protein contents, encoded by 15 genes located on different chromosomes of rice genome. The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) system was employed to knockout Glu-B (LOC-Os02g15070) gene in non-basmati rice PK386 cultivar. The mutant displayed two base pair and three base pair mutation in the targeted regions. The homozygous mutant plant displayed reduction for both in total protein contents and GLU contents whereas, elevation in GLO, ALB and PRO. Moreover, the mutant plant also displayed reduction in physio-chemical properties e.g., total starch, amylose and gel consistency. The agronomic characteristics of both mutant and wild type displayed non-significant differences along with increase in higher percentage of chalkiness in mutant plants. The results obtained from scanning electron microscopy showed the loosely packed starch granules compared to wild type. The gene expression analysis displayed the lower expression of gene at 5 days after flowering (DAF), 10 DAF, 15 DAF and 20 DAF compared to wild type. GUS sub-cellular localization showed the staining in seed which further validated the results obtained from gene expression. Based on these findings it can be concluded Glu-B gene have significant role in controlling GLU contents and can be utilized in breeding programs to enhance the nutritional quality of rice, and may serve as healthy diet for patient allergic with high GLU contents.

Comprehensive mapping and modelling of the rice regulome landscape unveils the regulatory architecture underlying complex traits

Unraveling the regulatory mechanisms that govern complex traits is pivotal for advancing crop improvement. Here we present a comprehensive regulome atlas for rice (Oryza sativa), charting the chromatin accessibility across 23 distinct tissues from three representative varieties. Our study uncovers 117,176 unique open chromatin regions (OCRs), accounting for ~15% of the rice genome, a notably higher proportion compared to previous reports in plants. Integrating RNA-seq data from matched tissues, we confidently predict 59,075 OCR-to-gene links, with enhancers constituting 69.54% of these associations, including many known enhancer-to-gene links. Leveraging this resource, we re-evaluate genome-wide association study results and discover a previously unknown function of OsbZIP06 in seed germination, which we subsequently confirm through experimental validation. We optimize deep learning models to decode regulatory grammar, achieving robust modeling of tissue-specific chromatin accessibility. This approach allows to predict cross-variety regulatory dynamics from genomic sequences, shedding light on the genetic underpinnings of cis-regulatory divergence and morphological disparities between varieties. Overall, our study establishes a foundational resource for rice functional genomics and precision molecular breeding, providing valuable insights into regulatory mechanisms governing complex traits.

A cystathionine beta-synthase domain containing protein, OsCBSCBS4, interacts with OsSnRK1A and OsPKG and functions in abiotic stress tolerance in rice.

The Cystathionine-β-Synthase (CBS) domain-containing proteins (CDCPs) constitute a functionally diverse protein superfamily, sharing an evolutionary conserved CBS domain either in pair or quad. Rice genome (Oryza sativa subsp. indica) encodes 42 CDCPs; their functions remain largely unexplored. This study examines OsCBSCBS4, a quadruple CBS domain containing protein towards its role in regulating the abiotic stress tolerance in rice. Gene expression analyses revealed upregulation of OsCBSCBS4 in response to diverse abiotic stresses. Further, the cytoplasm-localised OsCBSCBS4 showed interaction with two different kinases, a cytoplasmic localised cGMP-dependant protein kinase (OsPKG) and the nucleo-cytoplasmic catalytic subunit of sucrose-nonfermentation 1-related protein kinase 1 (OsSnRK1A). The interaction with the latter assisted in trafficking of OsCBSCBS4 to the nucleus as well. Overexpression of OsCBSCBS4 in rice resulted in enhanced tolerance to drought and salinity stress, via maintaining better physiological parameters and antioxidant activity. Additionally, OsCBSCBS4-overexpressing rice plants exhibited reduced yield penalty under stress conditions. The in silico docking and in vitro binding analyses of OsCBSCBS4 with ATP suggest its involvement in cellular energy balance. Overall, this study provides novel insight into the unexplored functions of OsCBSCBS4 and demonstrates it as a new promising target for augmenting crop resilience.

Examination of the Expression Profile of Resistance Genes in Yuanjiang Common Wild Rice (Oryza rufipogon).

The rice blight poses a significant threat to the rice industry, and the discovery of disease-resistant genes is a crucial strategy for its control. By exploring the rich genetic resources of Yuanjiang common wild rice (Oryza rufipogon) and analyzing their expression patterns, genetic resources can be provided for molecular rice breeding. The target genes' expression patterns, subcellular localization, and interaction networks were analyzed based on the annotated disease-resistant genes on the 9th and 10th chromosomes in the rice genome database using fluorescent quantitative PCR technology and bioinformatics tools. Thirty-three disease-resistant genes were identified from the database, including 20 on the 9th and 13 on the 10th. These genes were categorized into seven subfamilies of the NLR family, such as CNL and the G subfamily of the ABC family. Four genes were not expressed under the induction of the pathogen Y8, two genes were significantly down-regulated, and the majority were up-regulated. Notably, the expression levels of nine genes belonging to the ABCG, CN, and CNL classes were significantly up-regulated, yet the expression levels varied among roots, stems, and leaves; one was significantly expressed in the roots, one in the stems, and the remaining seven were primarily highly expressed in the leaves. Two interaction network diagrams were predicted based on the seven highly expressed genes in the leaves: complex networks regulated by CNL proteins and specific networks controlled by ABCG proteins. The disease-resistant genes on the 9th chromosome are actively expressed in response to the induction of rice blight, forming a critical gene pool for the resistance of Yuanjiang common wild rice (O. rufipogon) to rice blight. Meanwhile, the disease-resistant genes on the 10th chromosome not only participate in resisting the rice blight pathogen but may also be involved in the defense against other stem diseases.

Identification and differentiation of rice ferritin gene in two different chromosomes in several local Indonesian rice varieties

Abstract. Permatasari SE, Salamah A. 2024. Identification and differentiation of rice ferritin gene in two different chromosomes in several local Indonesian rice varieties. Biodiversitas 25: 2547-2555. The presence of ferritin protein in rice plants indicates a regulatory response to environmental iron stress. It prevents the destructive effects of the chain reaction resulting from Fe2+ accumulation in the cell. This study aimed to detect and identify the location of the ferritin gene (OsFER) in eight local rice varieties in Indonesia. OsFER2, as the target gene was amplified using PCR, visualized by electrophoresis, and then sequenced. The sequencing results were analyzed using DNA Baser, BioEdit, and ClustalX2. The predicted proteins were visualized using the SWISS-MODEL server, Rice Genome Annotation Project Database, and chromosome map tools. The results show that all rice varieties studied have 100% alignment similarity and OsFER characteristics on chromosome 11 at LOC_Os11g01530 and chromosome 12 at LOC_Os12g01530, which have striking differences. The complete protein structure of the complex is found on chromosome 12, while only a portion of alpha-helix ferritin is found on chromosome 11. Differences in the position of the ferritin gene at different chromosomes impact the functional changes in the ferritin protein as an iron homeostasis key role. The two genes show different characteristics and are located at different genomic positions, suggesting a potential regulatory impact on the level of iron stress resistance in Indonesian rice varieties.

Genome-wide characterization of single-stranded DNA in rice.

Single-stranded DNA (ssDNA) is essential for various DNA-templated processes in both eukaryotes and prokaryotes. However, comprehensive characterizations of ssDNA still lag in plants compared to non-plant systems. Here, we conducted in situ S1-seq (ISS1-seq), with starting gDNA ranging from 5 µg to 250 ng, followed by comprehensive characterizations of ssDNA in rice (Oryza sativa L.). We found that ssDNA loci were substantially associated with a subset of non-B DNA structures and functional genomic loci. Subtypes of ssDNA loci had distinct epigenetic features. Importantly, ssDNA may act alone or partly coordinate with non-B DNA structures, functional genomic loci, or epigenetic marks to actively or repressively modulate gene transcription, which is genomic-region-dependent and associated with the distinct accumulation of RNA Pol II. Moreover, distinct types of ssDNA had differential impacts on the activities and evolution of TEs (especially common or conserved TEs) in the rice genome. Our study showcases an antibody-independent technique for characterizing non-B DNA structures or functional genomic loci in plants. It lays the groundwork and fills a crucial gap for further exploration of ssDNA, non-B DNA structures, or functional genomic loci, thereby advancing our understanding of their biology in plants.

The potential of genome editing to create novel alleles of resistance genes in rice.

Rice, a staple food for a significant portion of the global population, faces persistent threats from various pathogens and pests, necessitating the development of resilient crop varieties. Deployment of resistance genes in rice is the best practice to manage diseases and reduce environmental damage by reducing the application of agro-chemicals. Genome editing technologies, such as CRISPR-Cas, have revolutionized the field of molecular biology, offering precise and efficient tools for targeted modifications within the rice genome. This study delves into the application of these tools to engineer novel alleles of resistance genes in rice, aiming to enhance the plant's innate ability to combat evolving threats. By harnessing the power of genome editing, researchers can introduce tailored genetic modifications that bolster the plant's defense mechanisms without compromising its essential characteristics. In this study, we synthesize recent advancements in genome editing methodologies applicable to rice and discuss the ethical considerations and regulatory frameworks surrounding the creation of genetically modified crops. Additionally, it explores potential challenges and future prospects for deploying edited rice varieties in agricultural landscapes. In summary, this study highlights the promise of genome editing in reshaping the genetic landscape of rice to confront emerging challenges, contributing to global food security and sustainable agriculture practices.

Haplotype-resolved gapless genome and chromosome segment substitution lines facilitate gene identification in wild rice

The abundant genetic variation harbored by wild rice (Oryza rufipogon) has provided a reservoir of useful genes for rice breeding. However, the genome of wild rice has not yet been comprehensively assessed. Here, we report the haplotype-resolved gapless genome assembly and annotation of wild rice Y476. In addition, we develop two sets of chromosome segment substitution lines (CSSLs) using Y476 as the donor parent and cultivated rice as the recurrent parents. By analyzing the gapless reference genome and CSSL population, we identify 254 QTLs associated with agronomic traits, biotic and abiotic stresses. We clone a receptor-like kinase gene associated with rice blast resistance and confirm its wild rice allele improves rice blast resistance. Collectively, our study provides a haplotype-resolved gapless reference genome and demonstrates a highly efficient platform for gene identification from wild rice.

Genome-wide characterization and functional analysis of heat shock transcription factors in wild and cultivated rice (Oryza sativa L.)

Due to domestication, the genetic diversity in cultivated rice is lower than that of wild rice species. Recent progress in sequencing the genomes of wild and cultivated rice genus is an important step in identifying their genetic differences associated with abiotic and biotic stresses-resistant ability. Thus, in this study, heat shock transcription factor (Hsf) genes in 6 wild rice accessions, including Oryza barthii, Oryza glumaepatula, Oryza meridionalis, Oryza nivara, Oryza punctate and Oryza rufipogon, and 1 cultivated rice variety Nipponbare were firstly identified, and the evolution of rice Hsf genes were analyzed. Totally, 22, 23, 24, 24, 25, 25 and 25 Hsf genes were identified in the 7 tested rice genomes, Oryza barthii, Oryza glumaepatula, Oryza meridionalis, Oryza nivara, Oryza punctate, Oryza rufipogon and Oryza sativa, respectively. The evolutionary analysis of Hsf genes revealed that Oryza rufipogon was the immediate ancestral progenitor of Oryza sativa. The variation in the number of Hsf genes between wild and cultivated rice genotypes was mainly due to segmental duplication and whole genome duplication (WGD) events, which might contribute to the different stress-tolerant ability between the wild and cultivated rice varieties. Secondly, the function of the Hsf genes in wild and cultivated rice in response to salinity stress was compared. Under salt stress, four Hsf genes, HsfA2b, HsfB4b, HsfB4c and HsfB4d, were exclusively down-regulated in Oryza rufipogon shoots. Whilst, another four Hsf genes, HsfA7a, HsfB2c, HsfC1b and HsfC2b, were up-regulated in the shoots of both the cultivated rice and its ancestral progenitor Oryza rufipogon. Meanwhile, genomic comparison results showed that 1, 1, 5 and 5 nsSNPs were detected in these 4 Hsf genes respectively, which might alter the functions of these genes. RT-qPCR results further confirmed the expression profile of one of these 4 Hsf genes, HsfB2c. The expression pattern of this gene in the cultivated rice variety in response to salt stress was similar with the previously known salt stress-tolerant gene, WRKY28. This indicated that these 4 Hsf genes might be among the conserved genes related to salt stress tolerance in the wild and cultivated rice. In summary, these results provide novel clues to the further functional studies of Hsf genes in rice for breeding programs.

Genome-wide association analysis uncovers rice blast resistance alleles of Ptr and Pia

A critical step to maximize the usefulness of genome-wide association studies (GWAS) in plant breeding is the identification and validation of candidate genes underlying genetic associations. This is of particular importance in disease resistance breeding where allelic variants of resistance genes often confer resistance to distinct populations, or races, of a pathogen. Here, we perform a genome-wide association analysis of rice blast resistance in 500 genetically diverse rice accessions. To facilitate candidate gene identification, we produce de-novo genome assemblies of ten rice accessions with various rice blast resistance associations. These genome assemblies facilitate the identification and functional validation of novel alleles of the rice blast resistance genes Ptr and Pia. We uncover an allelic series for the unusual Ptr rice blast resistance gene, and additional alleles of the Pia resistance genes RGA4 and RGA5. By linking these associations to three thousand rice genomes we provide a useful tool to inform future rice blast breeding efforts. Our work shows that GWAS in combination with whole-genome sequencing is a powerful tool for gene cloning and to facilitate selection of specific resistance alleles for plant breeding.

The Rapid Evolution of De Novo Proteins in Structure and Complex.

Recent studies in the rice genome-wide have established that de novo genes, evolving from noncoding sequences, enhance protein diversity through a stepwise process. However, the pattern and rate of their evolution in protein structure over time remain unclear. Here, we addressed these issues within a surprisingly short evolutionary timescale (<1 million years for 97% of Oryza de novo genes) with comparative approaches to gene duplicates. We found that de novo genes evolve faster than gene duplicates in the intrinsically disordered regions (such as random coils), secondary structure elements (such as α helix and β strand), hydrophobicity, and molecular recognition features. In de novo proteins, specifically, we observed an 8% to 14% decay in random coils and intrinsically disordered region lengths and a 2.3% to 6.5% increase in structured elements, hydrophobicity, and molecular recognition features, per million years on average. These patterns of structural evolution align with changes in amino acid composition over time as well. We also revealed higher positive charges but smaller molecular weights for de novo proteins than duplicates. Tertiary structure predictions showed that most de novo proteins, though not typically well folded on their own, readily form low-energy and compact complexes with other proteins facilitated by extensive residue contacts and conformational flexibility, suggesting a faster-binding scenario in de novo proteins to promote interaction. These analyses illuminate a rapid evolution of protein structure in de novo genes in rice genomes, originating from noncoding sequences, highlighting their quick transformation into active, protein complex-forming components within a remarkably short evolutionary timeframe.

Genome-Wide Identification and Characterization of the PPPDE Gene Family in Rice

Protein ubiquitination is common and crucial in cellular functions, however, little is known about how deubiquitinating enzymes (DUBs) reverse regulate the ubiquitination signaling process. PPPDE family proteins are a novel class of deubiquitinating peptidases with demonstrated deubiquitination/deSUMOylating activities. In this study, we identified 10 PPPDE genes from the rice (Oryza sativa L.) genome unevenly distributed on five chromosomes, where most of these members have not been reported to date. Based on the gene structure, the OsPPPDE family consists of three distinct subgroups within the phylogenetic tree. Cis-element analysis identified light/phytohormone-responsive, development, and abiotic stress-related elements in the promoters of OsPPPDE. Furthermore, we conducted and analyzed the transcript abundance of OsPPPDE under various tissues and stresses using the transcriptome data of 352 samples from the Rice Expression Database and GEO datasets. Moreover, OsPPPDE5 showed differential regulation of its transcript abundance during Cd and drought stress. Collinearity and syntenic analysis of 101 PPPDEs and PPPDE-like proteins in 10 plant genomes indicated that this family is evolutionarily conserved. Domestication analysis suggests that OsPPPDEs may contribute to indica–japonica divergence using the data from the 3K Rice Genome Project. Our study provides a foundation for further study on the function and molecular mechanism of the OsPPPDE gene family.

PlantMine: A Machine-Learning Framework to Detect Core SNPs in Rice Genomics.

As a fundamental global staple crop, rice plays a pivotal role in human nutrition and agricultural production systems. However, its complex genetic architecture and extensive trait variability pose challenges for breeders and researchers in optimizing yield and quality. Particularly to expedite breeding methods like genomic selection, isolating core SNPs related to target traits from genome-wide data reduces irrelevant mutation noise, enhancing computational precision and efficiency. Thus, exploring efficient computational approaches to mine core SNPs is of great importance. This study introduces PlantMine, an innovative computational framework that integrates feature selection and machine learning techniques to effectively identify core SNPs critical for the improvement of rice traits. Utilizing the dataset from the 3000 Rice Genomes Project, we applied different algorithms for analysis. The findings underscore the effectiveness of combining feature selection with machine learning in accurately identifying core SNPs, offering a promising avenue to expedite rice breeding efforts and improve crop productivity and resilience to stress.

Exploring phosphorus starvation tolerance in aus (Oryza sativa L.) rice: An analysis of stress tolerance attributes and understanding the effect of PSTOL1 gene

AbstractThe limited availability of Phosphorus (P) in the soil poses a significant challenge to of rice productivity in rainfed tropical regions. There has been a constant demand of diverse donors for enhancing tolerance to P‐deficient soils. In this study, we evaluated 181 aus rice accessions of the 3000 Rice Genome Project (3 K‐RGP) for grain yield and six other agronomical traits under control (~20 mg kg−1 available P) and low‐P (8–10 mg kg−1 available P) field trials. The objectives were to assess the level of low‐P tolerance in the aus germplasm and select stable high‐yielding accessions using stress tolerance attributes. We also surveyed the presence of PSTOL1 gene and Pup1 polymorphisms to find the effect of PSTOL1 as well as t Pup1 haplotypes on low‐P tolerance. Principal component analysis (PCA) using five stress tolerance attributes revealed that attributes like mean productivity (MP) and stress tolerance index (STI) are useful for selecting high‐yielding accessions with stable yield under stress and control conditions. Notably, accessions like Kalabokari, Devarasi, ARC 12021, Jasure Aus, ARC 7336 and ARC 12101 had higher level of tolerance than the check varieties Vandana and Sahbhagi Dhan. Majority of aus accessions carried the PSTOL1 gene (73%) and had the tolerant haplotype of Pup1 (65%) like the tolerant checks. Although, at large, the PSTOL1‐positive accessions were more vigorous, and high yielding under low‐P, there were a few PSTOL1‐negative aus accessions showing higher level of tolerance. The findings suggest that non‐PSTOL1 type tolerance exists in aus rice which needs to be substantiated through further studies.

XA21-mediated resistance to Xanthomonas oryzae pv. oryzae is dose dependent.

The rice receptor kinase XA21 confers broad-spectrum resistance to Xanthomonas oryzae pv. oryzae (Xoo), the causal agent of rice bacterial blight disease. To investigate the relationship between the expression level of XA21 and resulting resistance, we generated independent HA-XA21 transgenic rice lines accumulating the XA21 immune receptor fused with an HA epitope tag. Whole-genome sequence analysis identified the T-DNA insertion sites in sixteen independent T0 events. Through quantification of the HA-XA21 protein and assessment of the resistance to Xoo strain PXO99 in six independent transgenic lines, we observed that XA21-mediated resistance is dose dependent. In contrast, based on the four agronomic traits quantified in these experiments, yield is unlikely to be affected by the expression level of HA-XA21. These findings extend our knowledge of XA21-mediated defense and contribute to the growing number of well-defined genomic landing pads in the rice genome that can be targeted for gene insertion without compromising yield.