DNA allelic variations at the loci putatively implicated in seed oil formation among Brassica oilseed cultivars

Knowledge about the genes implicated in lipid biosynthesis acquired from the model plant Arabidopsis is useful in understanding the formation of seed oil in Brassica oilseeds. In this paper, we report the screening of polymorphic markers at the loci putative for the seed oil formation between two geographically different genotypes: the Chinese cultivar Ningyou-7 and the European cultivar Tapidor. These primer pairs (150) were designed based on 75 Brassica genes that were Arabidopsis orthologues implicated in the oil formation. A total of 52 out of the 150 primer pairs associated with 47 of the 75 genes showed polymorphisms between the two genotypes. The type of polymorphisms that could be detected on capillary electrophoresis images and their respective visual futures are described. Further, we selected 34 polymorphic markers to scan allelic variations and found rich DNA polymorphisms among the 54 Brassica oilseed cultivars. On the average, each primer pair resulted in 5.6 alleles at the region that was covered. The correlation between the alleles and seed quality traits revealed that the alleles of BnFAD7 were related to the variation of linolenic acid (C_18:3) contents among the cultivars. The allele FAD7-ics11170 (3/4)-b that was significantly correlated with high linolenic acid content can be used as an efficient marker for the selection of breeding materials with high linolenic acid content.     

Analysis of QTLs for emcic acid and oil content in seeds on A8 chro- mosome and the linkage drag between the alleles for the two traits in Brassica napus

The history of canola breeding began with the discovery of germplasm with low erucic acid content in seeds of spring forage cultivar in the 1950's. FAE1 mutations led to a dramatic decrease of the seed erucic acid content in Arabidopsis thaliana. The products of the two FAE1 loci, BnA8.FAE1 and BnC3.FAE1, showed additive effects to the level of erucic acid content in oilseed rape. Previous research believed that the pleiotropy of FAE1 was responsible for the decrease in seed oil content along with the reduction of seed erucic acid content in the modern cultivars. TN DH population was developed from a canola cultivar Tapidor and a Chinese traditional cultivar Ningyou7. The population had been tested in 10 and 11 environments to map QTLs for the erucic acid content and oil content in seeds. As the map resolution increased, a novel QTL for seed erucic acid content was revealed, after Meta-analysis, 7 cM away from the most significant seed erucic acid content QTL where BnA8.FAE1 is located. Seven independent QTLs for seed oil content (qOC) were detected around the two seed erucic acid content QTLs (qEA) across 39.20 cM on linkage group A8. Two of the qOCs co-localized with the two qEAs, respectively, and were detected in a single environment. The other five qOCs were detected in 10 of 11 environments independent of qEAs. Alleles from Tapidor in all the QTLs at the 0–39.20 cM region contributed negative effects to either erucic acid content or oil content in seeds. Parallel, genotyping showed that on 5 of the 7 QTLs regions, Tapidor alleles had the same genotypes with that in ‘Liho’, the original low seed erucic acid content source. Through rounds of crossbreeding with oil-cropped cultivars and intensive selection for multi generations, Tapidor still had the inferior alleles for low seed oil content from ‘Liho’, the forage rape. This showed a strong linkage drag of low seed oil content, which was controlled by the five qEA-independent qOCs, with low seed erucic acid content. Ninety cultivars of B. napus from 8 countries were used to analyze the genetic drag with 9 molecular markers located in the QTL confidence intervals (24.04 cM) on linkage group A8. It was noticed that more than 46% of the cultivars with low seed erucic acid content trait remained the genotype of low seed oil content at least in one locus. Backcross and marker-assisted selection could break the genetic drag between the low oil content and erucic acid in seeds in the process for breeding modern high seed oil content canola cultivars.     

Fluorescence-based AFLPs occur as the most suitable marker system for oilseed rape cultivar identification

Three different types of molecular markers, RAPD, SSR and fluorescence-based AFLP, were evaluated and compared for their ability to identify oilseed rape cultivars. The direct comparison of RAPD, SSR and AFLP approaches in cultivar identification showed that the AFLP methodology detected polymorphisms more efficiently than either RAPD or SSR methods. For the characterisation of six oilseed rape cultivars, 60 RAPD primers were tested and only eight of them (14%) detected sufficient levels of polymorphism. Five microsatellites out of fifteen tested were polymorphic, but in all loci, except one, only two different alleles were detected. This result indicated the limited degree of polymorphism found in Brassica napus. Each of the six tested AFLP combinations detected polymorphisms, the best combination (M-CAA/E-ACT) had 26% polymorphic peaks from a total of 90 peaks and could distinguish the analysed cultivars and 4 out of 5 core lines of cultivars. The results presented show that florescence-based AFLP is, for the purposes of oilseed rape cultivar fingerprinting, a more suitable approach than either RAPD or SSR.     

Latent S alleles are widespread in cultivated self-compatible Brassica napus.

The genetic control of self-incompatibility in Brassica napus was investigated using crosses between resynthesized lines of B. napus and cultivars of oilseed rape. These crosses introduced eight C-genome S alleles from Brassica oleracea (S16, S22, S23, S25, S29, S35, S60, and S63) and one A-genome S allele from Brassica rapa (SRM29) into winter oilseed rape. The inheritance of S alleles was monitored using genetic markers and S phenotypes were determined in the F1, F2, first backcross (B1), and testcross (T1) generations. Two different F1 hybrids were used to develop populations of doubled haploid lines that were subjected to genetic mapping and scored for S phenotype. These investigations identified a latent S allele in at least two oilseed rape cultivars and indicated that the S phenotype of these latent alleles was masked by a suppressor system common to oilseed rape. These latent S alleles may be widespread in oilseed rape varieties and are possibly associated with the highly conserved C-genome S locus of these crop types. Segregation for S phenotype in subpopulations uniform for S genotype suggests the existence of suppressor loci that influenced the expression of the S phenotype. These suppressor loci were not linked to the S loci and possessed suppressing alleles in oilseed rape and non-suppressing alleles in the diploid parents of resynthesized B. napus lines.     

Characterisation of single nucleotide polymorphisms in sugarcane ESTs

Commercial sugarcane cultivars (Saccharum spp. hybrids) are both polyploid and aneuploid with chromosome numbers in excess of 100; these chromosomes can be assigned to 8 homology groups. To determine the utility of single nucleotide polymorphisms (SNPs) as a means of improving our understanding of the complex sugarcane genome, we developed markers to a suite of SNPs identified in a list of sugarcane ESTs. Analysis of 69 EST contigs showed a median of 9 SNPs per EST and an average of 1 SNP per 50 bp of coding sequence. The quantitative presence of each base at 58 SNP loci within 19 contiguous sequence sets was accurately and reliably determined for 9 sugarcane genotypes, including both commercial cultivars and ancestral species, through the use of quantitative light emission technology in pyrophosphate sequencing. Across the 9 genotypes tested, 47 SNP loci were polymorphic and 11 monomorphic. Base frequency at individual SNP loci was found to vary approximately twofold between Australian sugarcane cultivars and more widely between cultivars and wild species. Base quantity was shown to segregate as expected in the IJ76-514 × Q165 sugarcane mapping population, indicating that SNPs that occur on one or two sugarcane chromosomes have the potential to be mapped. The use of SNP base frequencies from five of the developed markers was able to clearly distinguish all genotypes in the population. The use of SNP base frequencies from a further six markers within an EST contig was able to help establish the likely copy number of the locus in two genotypes tested. This is the first instance of a technology that has been able to provide an insight into the copy number of a specific gene locus in hybrid sugarcane. The identification of specific and numerous haplotypes/alleles present in a genotype by pyrophosphate sequencing or alternative techniques ultimately will provide the basis for identifying associations between specific alleles and phenotype and between allele dosage and phenotype in sugarcane.Electronic Supplementary Material Supplementary material is available for this article at and is accessible for authorized users.     

Analysis of QTLs for erucic acid and oil content in seeds on A8 chromosome and the linkage drag between the alleles for the two traits in Brassica napus

The history of canola breeding began with the discovery of germplasm with low erucic acid content in seeds of spring forage cultivar in tbe 1950's.FAEI,mutations led to a dramatic decrease of the seed erucic acid content in Arabidopsis thaliana.The products of the two FAEI loci.BnA8.FAEI and BnC3.FAEI,showed additive effects to the level of erucic acid content in oilseed rape.Previous research believed that the pleiotropy of FAEI was responsible for the decrease in seed oil content along with the reduction of seed erucic acid content in the modern cultivars.TN DH population was developed from a canola cultivar Tapidor and a Chinese traditional cultivar Ningyou7.The population had been tested in 10 and 11 environments to map QTLs for the erucic acid content and oil content in seeds.As the map resolution increased,a novel QTL for seed erucic acid content was revealed,after Meta-analysis,7 cM away from the most significant seed erucic acid content QTL where BnA8.FAEI is located.Seven independent QTLs for seed oil content(qOC) were detected around the two seed erucic acid content QTLs(qEA)across 39.20 cM on linkage group A8.Two of the qOCs co-localized with the two qEAs,respectively,and were detected in a single environment.The otherfive qOCs were detected in 10 of ll environments independent of qEAs.Alleles from Tapidor in all the QTLs at the 0-39.20 cM region contributed negative effects to either erucic acid content or oil content in seeds.Parallel,genocontent source.Through rounds of crossbreeding with oil-cropped cultivars and intensive selection for multi generations,Tapidor still had the controlled by the five qEA-independent qOCs,with low seed erucic acid content.Ninety cultivars of B.napus from 8 countries were used to analyze the genetic drag with 9 molecular markers located in the QTL confidence intervals (24.04cM) on linkage group A8.It was noticed that more than 46% of the cultivars with low seed erucic acid content trait remained the genotype of low seed oil content at least in one locus.Backcross and marker-assisted selection could break the genetic drag between the low oil content and erucic acid in seeds in the process for breeding modern high seed oil content canola cultivars.     

Genome-wide searching of single-nucleotide polymorphisms among eight distantly and closely related rice cultivars (Oryza sativa L.) and a wild accession (Oryza rufipogon Griff.).

We searched the genomes of eight rice cultivars (Oryza sativa L. ssp. japonica and ssp. indica) and a wild rice accession (Oryza rufipogon Griffith) for nucleotide polymorphisms, and identified 7805 polymorphic loci, including single-nucleotide polymorphisms (SNPs) and insertions/deletions (InDels), in predicted intergenic regions. Polymorphisms are useful as DNA markers for genetic analysis or positional cloning with segregating populations of crosses. Pairwise comparison between cultivars and a neighbor-joining tree calculated from SNPs agreed very well with relationships between rice strains predicted from pedigree data or calculated with other DNA markers such as p-SINE1 and simple sequence repeats (SSRs), suggesting that whole-genome SNP information can be used for analysis of evolutionary relationships. Using multiple SNPs to identify alleles, we drew a map to illustrate the alleles shared among the eight cultivars and the accession. The map revealed that most of the genome is mono- or di-allelic among japonica cultivars, whereas alleles well conserved among modern japonica paddy rice cultivars were often shared with indica cultivars or wild rice, suggesting that the genome structure of modern cultivars is composed of chromosomal segments from various genetic backgrounds. Use of allele-sharing analysis and association analysis were also tested and are discussed.     

Using cDNA and genomic sequences as tools to develop SNP strategies in cassava (Manihot esculenta Crantz)

Single nucleotide polymorphisms (SNP) are the most abundant type of DNA polymorphism found in animal and plant genomes. They provide an important new source of molecular markers that are useful in genetic mapping, map-based positional cloning, quantitative trait locus mapping and the assessment of genetic distances between individuals. Very little is known on the frequency of SNPs in cassava. We have exploited the recently-developed collection of cassava expressed sequence tags (ESTs) to detect SNPs in the five cultivars of cassava used to generate the sequences. The frequency of intra-cultivar and inter-cultivar SNPs after analysis of 111 contigs was one polymorphism per 905 and one per 1,032 bp, respectively; totaling 1 each 509 bp. We have obtained further information on the frequency of SNPs in six cassava cultivars by analysis of 33 amplicons obtained from 3 EST and BAC end sequences. Overall, about 11 kb of DNA sequence was obtained for each cultivar. A total of 186 SNPs (136 and 50 from ESTs and BAC ends, respectively) were identified. Among these, 146 were intra-cultivar polymorphisms, while 80 were inter-cultivar polymorphisms. Thus the total frequency of SNPs was one per 62 bp. This information will help to develop new strategies for EST mapping as well as their association with phenotypic characteristics.     

Mining single-nucleotide polymorphisms from hexaploid wheat ESTs.

Single-nucleotide polymorphisms (SNPs) represent a new form of functional marker, particularly when they are derived from expressed sequence tags (ESTs). A bioinformatics strategy was developed to discover SNPs within a large wheat EST database and to demonstrate the utility of SNPs in genetic mapping and genetic diversity applications. A collection of > 90000 wheat ESTs was assembled into contiguous sequences (contigs), and 45 random contigs were then visually inspected to identify primer pairs capable of amplifying specific alleles. We estimate that homoeologue sequence variants occurred 1 in 24 bp and the frequency of SNPs between wheat genotypes was 1 SNP/540 bp (theta = 0.0069). Furthermore, we estimate that one diagnostic SNP test can be developed from every contig with 10-60 EST members. Thus, EST databases are an abundant source of SNP markers. Polymorphism information content for SNPs ranged from 0.04 to 0.50 and ESTs could be mapped into a framework of microsatellite markers using segregating populations. The results showed that SNPs in wheat can be discovered in ESTs, validated, and be applied to conventional genetic studies.     

SNP discovery by amplicon sequencing and multiplex SNP genotyping in the allopolyploid species Brassica napus

Oilseed rape (Brassica napus) is an allotetraploid species consisting of two genomes, derived from B. rapa (A genome) and B. oleracea (C genome). The presence of these two genomes makes single nucleotide polymorphism (SNP) marker identification and SNP analysis more challenging than in diploid species, as for a given locus usually two versions of a DNA sequence (based on the two ancestral genomes) have to be analyzed simultaneously during SNP identification and analysis. One hundred amplicons derived from expressed sequence tag (ESTs) were analyzed to identify SNPs in a panel of oilseed rape varieties and within two sister species representing the ancestral genomes. A total of 604 SNPs were identified, averaging one SNP in every 42 bp. It was possible to clearly discriminate SNPs that are polymorphic between different plant varieties from SNPs differentiating the two ancestral genomes. To validate the identified SNPs for their use in genetic analysis, we have developed Illumina GoldenGate assays for some of the identified SNPs. Through the analysis of a number of oilseed rape varieties and mapping populations with GoldenGate assays, we were able to identify a number of different segregation patterns in allotetraploid oilseed rape. The majority of the identified SNP markers can be readily used for genetic mapping, showing that amplicon sequencing and Illumina GoldenGate assays can be used to reliably identify SNP markers in tetraploid oilseed rape and to convert them into successful SNP assays that can be used for genetic analysis.     

Estimation of the number of genetic markers required for individual animal identification accounting for genotyping errors

Nearly all studies that consider the power of exclusion for individual identification using genetic markers ignore the possibility of erroneous genotypes, although individual genotype error rates are approximately 1% for microsatellites. Single nucleotide polymorphisms (SNPs) have lower error rates, but because of their lower information content, more SNPs than microsatellites will be required to obtain the same power of exclusion for traceability. In this study, we accounted for genotyping mistakes by requiring at least two discrepancies to reject a match. Exclusion probabilities were computed analytically and by simulation. A microsatellite with five alleles was approximately comparable in exclusion power to 2-2.25 SNPs. At least eight SNPs were required to achieve a 99% probability of rejection for a match between two individuals, while with 25 SNPs there was a <1% chance for a match between any of five million individuals.     

Whole Mitochondrial and Plastid Genome SNP Analysis of Nine Date Palm Cultivars Reveals Plastid Heteroplasmy and Close Phylogenetic Relationships among Cultivars

Date palm is a very important crop in western Asia and northern Africa, and it is the oldest domesticated fruit tree with archaeological records dating back 5000 years. The huge economic value of this crop has generated considerable interest in breeding programs to enhance production of dates. One of the major limitations of these efforts is the uncertainty regarding the number of date palm cultivars, which are currently based on fruit shape, size, color, and taste. Whole mitochondrial and plastid genome sequences were utilized to examine single nucleotide polymorphisms (SNPs) of date palms to evaluate the efficacy of this approach for molecular characterization of cultivars. Mitochondrial and plastid genomes of nine Saudi Arabian cultivars were sequenced. For each species about 60 million 100 bp paired-end reads were generated from total genomic DNA using the Illumina HiSeq 2000 platform. For each cultivar, sequences were aligned separately to the published date palm plastid and mitochondrial reference genomes, and SNPs were identified. The results identified cultivar-specific SNPs for eight of the nine cultivars. Two previous SNP analyses of mitochondrial and plastid genomes identified substantial intra-cultivar ( = intra-varietal) polymorphisms in organellar genomes but these studies did not properly take into account the fact that nearly half of the plastid genome has been integrated into the mitochondrial genome. Filtering all sequencing reads that mapped to both organellar genomes nearly eliminated mitochondrial heteroplasmy but all plastid SNPs remained heteroplasmic. This investigation provides valuable insights into how to deal with interorganellar DNA transfer in performing SNP analyses from total genomic DNA. The results confirm recent suggestions that plastid heteroplasmy is much more common than previously thought. Finally, low levels of sequence variation in plastid and mitochondrial genomes argue for using nuclear SNPs for molecular characterization of date palm cultivars.     

The number of genes having different alleles between rice cultivars estimated by SNP analysis

Identification of single nucleotide polymorphisms (SNPs) in a large number of genes will enable estimation of the number of genes having different alleles in a population. In the present study, SNPs between 21 rice cultivars including 17 Japanese cultivars, one upland rice, and three indica cultivars were analyzed by PCR–RF–SSCP. PCR–RF–SSCP analysis was found to be a more efficient method for detecting SNPs than mismatch–cleavage analysis, though both PCR–RF–SSCP and mismatch–cleavage are useful for screening SNPs. The number of DNA fragments showing polymorphism between Japanese cultivars was 134 in the 1,036 genes analyzed. In 137 genes, 638 DNA polymorphisms were identified. Out of 52 genes having polymorphisms in the exons, one had a frame-shift mutation, three had polymorphism causing amino acid insertions or deletions, and 16 genes had missense polymorphisms. The number of genes having frame-shift mutations and missense polymorphisms between the 17 Japanese cultivars was estimated to be 41 and 677 on average, respectively, and those between japonica and indica to be 425 and 6,977, respectively. Chromosomal regions of cultivars selected in rice breeding processes were identified by SNP analysis of genes. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Development of EST-derived SSR markers using next-generation sequencing to reveal the genetic diversity of 50 chrysanthemum cultivars

Chrysanthemum plants are popular worldwide as cut flowers, potted, and in gardens. Several hundred cultivars have been commercialized, indicating that there is substantial genetic variations that can be manipulated under cultivations to produce a wide array of phenotypic variation. To study the genetic diversity of chrysanthemum cultivars in Korea, we first identified simple sequence repeats from chrysanthemum expressed sequence tags generated by FLX 454 sequencing. A total of 1109 ESTs out of 18,226 chrysanthemum ESTs were identified to carry SSRs. A total of 16 out of 46 primer pairs exhibited several polymorphisms among 50 chrysanthemum cultivars. The number of alleles per locus varied from 1 to 15, with an average of 6.25 alleles. The expected heterozygosity ranged from 0 to 0.8958, whereas polymorphism information content ranged from 0 to 0.8872. Based on polymorphisms using 16 SSR markers, a phylogenetic tree was generated revealing four groups within the 50 cultivars showing various levels of genetic diversity. The 16 polymorphic chrysanthemum SSR markers generated in this study would be useful for studies of the genetic conservation, diversity, and population structure of commercial chrysanthemum cultivars as well as closely related species.     

Whole-genome sequencing and variant discovery in C. elegans

Massively parallel sequencing instruments enable rapid and inexpensive DNA sequence data production. Because these instruments are new, their data require characterization with respect to accuracy and utility. To address this, we sequenced a Caernohabditis elegans N2 Bristol strain isolate using the Solexa Sequence Analyzer, and compared the reads to the reference genome to characterize the data and to evaluate coverage and representation. Massively parallel sequencing facilitates strain-to-reference comparison for genome-wide sequence variant discovery. Owing to the short-read-length sequences produced, we developed a revised approach to determine the regions of the genome to which short reads could be uniquely mapped. We then aligned Solexa reads from C. elegans strain CB4858 to the reference, and screened for single-nucleotide polymorphisms (SNPs) and small indels. This study demonstrates the utility of massively parallel short read sequencing for whole genome resequencing and for accurate discovery of genome-wide polymorphisms.     

Analysis of gene-derived SNP marker polymorphism in US wheat (Triticum aestivum L.) cultivars

In this study, we developed 359 detection primers for single nucleotide polymorphisms (SNPs) previously discovered within intron sequences of wheat genes and used them to evaluate SNP polymorphism in common wheat (Triticum aestivum L.). These SNPs showed an average polymorphism information content (PIC) of 0.18 among 20 US elite wheat cultivars, representing seven market classes. This value increased to 0.23 when SNPs were pre-selected for polymorphisms among a diverse set of 13 hexaploid wheat accessions (excluding synthetic wheats) used in the wheat SNP discovery project (). PIC values for SNP markers in the D genome were approximately half of those for the A and B genomes. D genome SNPs also showed a larger PIC reduction relative to the other genomes (P < 0.05) when US cultivars were compared with the more diverse set of 13 wheat accessions. Within those accessions, D genome SNPs show a higher proportion of alleles with low minor allele frequencies (<0.125) than found in the other two genomes. These data suggest that the reduction of PIC values in the D genome was caused by differential loss of low frequency alleles during the population size bottleneck that accompanied the development of modern commercial cultivars. Additional SNP discovery efforts targeted to the D genome in elite wheat germplasm will likely be required to offset the lower diversity of this genome. With increasing SNP discovery projects and the development of high-throughput SNP assay technologies, it is anticipated that SNP markers will play an increasingly important role in wheat genetics and breeding applications. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Identifying genetic diversity of avirulence genes in Leptosphaeria maculans using whole genome sequencing

Next generation sequencing technology allows rapid re-sequencing of individuals, as well as the discovery of single nucleotide polymorphisms (SNPs), for genomic diversity and evolutionary analyses. By sequencing two isolates of the fungal plant pathogen Leptosphaeria maculans, the causal agent of blackleg disease in Brassica crops, we have generated a resource of over 76 million sequence reads aligned to the reference genome. We identified over 21,000 SNPs with an overall SNP frequency of one SNP every 2,065 bp. Sequence validation of a selection of these SNPs in additional isolates collected throughout Australia indicates a high degree of polymorphism in the Australian population. In preliminary phylogenetic analysis, isolates from Western Australia clustered together and those collected from Brassica juncea stubble were identical. These SNPs provide a novel marker resource to study the genetic diversity of this pathogen. We demonstrate that re-sequencing provides a method of validating previously characterised SNPs and analysing differences in important genes, such as the disease related avirulence genes of L. maculans. Understanding the genetic characteristics of this devastating pathogen is vital in developing long-term solutions to managing blackleg disease in Brassica crops.     

A genome-wide analysis of single nucleotide polymorphism diversity in the world's major cereal crops

Over 3.5 million expressed sequence tags from the major cereal taxa were used to electronically mine over 176 000 putative single nucleotide polymorphisms (SNPs). The density, distribution and degree of linkage between these SNPs were compared among the different taxa. The frequency of sequence polymorphism was lowest in diploid taxa (rice, barley and sorghum), intermediate in tetraploid maize and highest in allohexaploid wheat and octoploid sugarcane. SNPs were further categorized as either intravarietal (differences between gene family members and homoeologues) or varietal (differences between two varieties), and as either co-segregating or non-co-segregating with neighbouring polymorphisms. Varietal co-segregating SNPs represent the best candidates for molecular markers as they show variation between varieties and have a high probability of being validated, as sequencing errors are unlikely to co-segregate with one another. This elite class of SNPs was most abundant in barley and least abundant in wheat and rice. Despite the large number of observed sequence polymorphisms in allohexaploid wheat, only a fraction of those available are likely to make good molecular markers. In addition, we found that rice SNPs up to 10 kb apart were in linkage disequilibrium (LD), but that high levels of LD attributable to population structure confounded the tracking of LD over greater distances.     

Genomewide discovery of DNA polymorphisms in rice cultivars with contrasting drought and salinity stress response and their functional relevance

Next‐generation sequencing technologies provide opportunities to understand the genetic basis of phenotypic differences, such as abiotic stress response, even in the closely related cultivars via identification of large number of DNA polymorphisms. We performed whole‐genome resequencing of three rice cultivars with contrasting responses to drought and salinity stress (sensitive IR64, drought‐tolerant Nagina 22 and salinity‐tolerant Pokkali). More than 356 million 90‐bp paired‐end reads were generated, which provided about 85% coverage of the rice genome. Applying stringent parameters, we identified a total of 1 784 583 nonredundant single‐nucleotide polymorphisms (SNPs) and 154 275 InDels between reference (Nipponbare) and the three resequenced cultivars. We detected 401 683 and 662 509 SNPs between IR64 and Pokkali, and IR64 and N22 cultivars, respectively. The distribution of DNA polymorphisms was found to be uneven across and within the rice chromosomes. One‐fourth of the SNPs and InDels were detected in genic regions, and about 3.5% of the total SNPs resulted in nonsynonymous changes. Large‐effect SNPs and InDels, which affect the integrity of the encoded protein, were also identified. Further, we identified DNA polymorphisms present in the differentially expressed genes within the known quantitative trait loci. Among these, a total of 548 SNPs in 232 genes, located in the conserved functional domains, were identified. The data presented in this study provide functional markers and promising target genes for salinity and drought tolerance and present a valuable resource for high‐throughput genotyping and molecular breeding for abiotic stress traits in rice.