Genome-wide DNA polymorphisms in elite indica rice inbreds discovered by whole-genome sequencing

Advances in next-generation sequencing technologies have aided discovery of millions of genome-wide DNA polymorphisms, single nucleotide polymorphisms (SNPs) and insertions-deletions (InDels), which are an invaluable resource for marker-assisted breeding. Whole-genome resequencing of six elite indica rice inbreds (three cytoplasmic male sterile and three restorer lines) resulted in the generation of 338?million 75-bp paired-end reads, which provided 85.4% coverage of the Nipponbare genome. A total of 2?819?086 nonredundant DNA polymorphisms including 2?495?052 SNPs, 160?478 insertions and 163?556 deletions were discovered between the inbreds and Nipponbare, providing an average of 6.8 SNPs/kb across the genome. Distribution of SNPs and InDels in the chromosome was nonrandom with SNP-rich and SNP-poor regions being evident across the genome. A contiguous 4.3-Mb region on chromosome 5 with extremely low SNP density was identified. Overall, 83?262 nonsynonymous SNPs spanning 16?379 genes and 3620 nonsynonymous InDels in 2625 genes have been discovered which provide valuable insights into the basis underlying performance of the inbreds and the hybrids between these inbred combinations. SNPs and InDels discovered from this diverse set of indica rice inbreds not only enrich SNP resources for molecular breeding but also enable the study of genome-wide variations on hybrid performance.     

Deep re-sequencing of a widely used maintainer line of hybrid rice for discovery of DNA polymorphisms and evaluation of genetic diversity

Genetic diversity within parental lines of hybrid rice is the foundation of heterosis utilization and yield improvement. Previous studies have suggested that genetic diversity was narrow in cytoplasmic male sterile (CMS/A line) and restorer lines (R line) for Three-line hybrid rice. However, the genetic diversity within maintainer lines (B line), especially at a genome-wide scale, remains largely unknown. In the present study, we performed deep re-sequencing of the elite maintainer line V20B (Oryza sativa L. ssp. indica). We then compared the V20B sequence with the 93-11 (Oryza sativa L. ssp. indica) genome sequence. 112.1 × 106 paired-end reads (PE reads) were generated with approximately 30-fold sequencing depth. The V20B PE reads uniquely covered 87.6 % of the 93-11 genome sequence. Overall, a total of 660,778 single-nucleotide polymorphism (SNPs) and 266,301 insertions and deletions (InDels) were identified, yielding an average of 2.1 SNPs/kb and 0.8 InDels/kb. Genome-wide distribution of the SNPs and InDels was non-random, and variation-rich and variation-poor regions were identified in all chromosomes. A total of 20,562 non-synonymous SNPs spanning 8,854 genes were annotated. Our results identified DNA polymorphisms at the genome-wide scale and uncovered the high level of genetic diversity between V20B and 93-11. Our results proved that next-generation sequencing technologies can be powerful tools to study genome-wide DNA polymorphisms, to query genetic diversity, and to enable molecular improvement efforts with Three-line hybrid rice. Further, our results also indicated that 93-11 could be used as core germplasm for the improvement of wild-abortive CMS lines and the maintainer lines.     

Genome-Wide Analysis of Genetic Variations and the Detection of Rich Variants of NBS-LRR Encoding Genes in Common Wild Rice Lines

Common wild rice (Oryza rufipogon Griff.) is invaluable genetic resource for rice resistance breeding. Whole-genome re-sequencing was conducted to systematically analyze the variations in two new inbred lines (Huaye 3 and Huaye 4) developed from a common wild rice. A total of 4,841,127 SNPs, 1,170,479 InDels, 24,080 structural variations (SVs), and 298 copy number variations (CNVs) were identified in three materials. Approximately 16.24 and 5.64% of the total SNPs and InDels of Huaye 3 and Huaye 4 were located in genic regions, respectively. Together, 12,486 and 15,925 large-effect SNPs, and 12,417 and 14,513 large-effect InDels, which affect the integrity of the encoded protein, were identified in Huaye 3 and Huaye 4, respectively. The distribution map of 194 and 245 NBS-LRR encoding homologs was constructed across 12 rice chromosomes. Further, GO enrichment analysis of the homologs with identical genotype variations in Huaye 3 and Huaye 4 revealed 67, 82, and 58 homologs involved in cell death, response to stress, and both terms, respectively. Comparative analysis displayed that 550 out of 652 SNPs and 129 out of 147 InDels were present in a widely used blast-susceptible rice variety (LTH). Protein-protein interaction analysis revealed a strong interaction between NBS-LRR candidates and several known R genes. One homolog of disease resistance protein (RPM1) was involved in the plant-pathogen interaction pathway. Artificial inoculation of disease/insect displayed resistance phenotypes against rice blast and brown planthopper in two lines. The results will provide allele-specific markers for rice molecular breeding.     

中籼杂交水稻亲本多态性的AFLP分析

对15个籼型杂交水稻亲本进行AFLP分析,结果表明：亲本间遗传距离小,在0.0589-0.3305之间,平均为0.2033。15个亲本按类平均法可聚为两类,Ⅰ类为不育系,Ⅱ类为恢复系。其中Ⅱ类又分为两个亚类,Ⅱ－1不含明恢63血缘、Ⅱ－2全部含明恢63血缘。Ⅰ/Ⅱ－1与Ⅰ/Ⅱ－2间的遗传距离无明显差异,揭示恢复系的遗传基础较一致,这可能是当前的品种不能超过籼优63的重要原因之一。要提高水稻的杂种优势,需丰富亲本的遗传基础,扩大其遗传差异。     

Development of genome-wide DNA polymorphism database for map-based cloning of rice genes

DNA polymorphism is the basis to develop molecular markers that are widely used in genetic mapping today. A genome-wide rice (Oryza sativa) DNA polymorphism database has been constructed in this work using the genomes of Nipponbare, a cultivar of japonica, and 93-11, a cultivar of indica. This database contains 1,703,176 single nucleotide polymorphisms (SNPs) and 479,406 Insertion/Deletions (InDels), approximately one SNP every 268 bp and one InDel every 953 bp in rice genome. Both SNPs and InDels in the database were experimentally validated. Of 109 randomly selected SNPs, 107 SNPs (98.2%) are accurate. PCR analysis indicated that 90% (97 of 108) of InDels in the database could be used as molecular markers, and 68% to 89% of the 97 InDel markers have polymorphisms between other indica cultivars (Guang-lu-ai 4 and Long-te-pu B) and japonica cultivars (Zhong-hua 11 and 9522). This suggests that this database can be used not only for Nipponbare and 93-11, but also for other japonica and indica cultivars. While validating InDel polymorphisms in the database, a set of InDel markers with each chromosome 3 to 5 marker was developed. These markers are inexpensive and easy to use, and can be used for any combination of japonica and indica cultivars used in this work. This rice DNA polymorphism database will be a valuable resource and important tool for map-based cloning of rice gene, as well as in other various research on rice (http://shenghuan.shnu.edu.cn/ricemarker).     

红莲型杂交稻(红莲2号)及其骨干亲本的RAPD分析与鉴定

利用RAPD技术,从248个随机寡核苷酸引物（10－mer）中筛出18个引物对红莲型杂交稻组合红莲2号及其亲本（T－07A、T－07B、YD6－05）,另6个红莲型胞质不育系的骨干恢复和汕优63及其亲本共14份水稻材料进行分析。共检测到173个多态性标记。聚类分析结果表明：不育系与保持系间因核背景相似,遗传差异很小;杂种（F1）的基因型更倾向于恢复系;恢复系与保持系间遗传距离的相对较大,但各恢复系之间的遗传距离较小。利用这些标记能有效地地区交组合中不育系,保持系、恢复系和杂种（F1）。     

Development and application of a set of breeder-friendly SNP markers for genetic analyses and molecular breeding of rice (Oryza sativa L.)

Single nucleotide polymorphisms (SNPs) are the most abundant DNA markers in plant genomes. In this study, based on 54,465 SNPs between the genomes of two Indica varieties, Minghui 63 (MH63) and Zhenshan 97 (ZS97) and additional 20,705 SNPs between the MH63 and Nipponbare genomes, we identified and confirmed 1,633 well-distributed SNPs by PCR and Sanger sequencing. From these, a set of 372 SNPs were further selected to analyze the patterns of genetic diversity in 300 representative rice inbred lines from 22 rice growing countries worldwide. Using this set of SNPs, we were able to uncover the well-known Indica-Japonica subspecific differentiation and geographic differentiations within Indica and Japonica. Furthermore, our SNP results revealed some common and contrasting patterns of the haplotype diversity along different rice chromosomes in the Indica and Japonica accessions, which suggest different evolutionary forces possibly acting in specific regions of the rice genome during domestication and evolution of rice. Our results demonstrated that this set of SNPs can be used as anchor SNPs for large scale genotyping in rice molecular breeding research involving Indica-Japonica and Indica-Indica crosses.     

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.     

Genome-wide DNA polymorphism and transcriptome analysis of an early-maturing rice mutant

In order to develop a rice population with improved important traits such as flowering time, we developed 2,911 M₂ targeting-induced local lesions in genomes (TILLING) lines by irradiating rice seeds with γ-rays. In all, 15 M₃ lines were obtained from 3 different M₂ lines that exhibited an early-maturing phenotype: these plants matured approximately 25 days faster than wild-type (WT) plants. To identify genome-wide DNA polymorphisms, we performed whole-genome resequencing of both the plant types, i.e., WT and early-maturing TILLING 1 (EMT1), and obtained mapped reads of 118,488,245 bp (99.53 %) and 128,489,860 bp (99.72 %), respectively; Nipponbare was used as the reference genome. We obtained 63,648 and 147,728 single nucleotide polymorphisms (SNPs) and 33,474 and 31,082 insertions and deletions (InDels) for the WT and EMT1, respectively. Interestingly, there was a higher number of SNPs (2.6-fold) and slightly lower number of InDels (0.9-fold) in EMT1 than in WT. The expression of at least 202 structurally altered genes was changed in EMT1, and functional enrichment analysis of these genes revealed that their molecular functions were related to flower development. These results might provide a critical insight into the regulatory pathways of rice flowering.     

Transgenic elite Indica rice varieties,resistant to Xanthomonas oryzae pv. oryzae

The agronomically important Indica (group 1) rice varieties IR64, IR72, hybrid restorer line Minghui 63, and BG90-2 were co-transformed by microbombardment of embryogenic suspensions with plasmids that contain the Xa21 gene which confers resistance to Xanthomonas oryzae pv. oryzae and the hph gene for resistance to hygromycin B. Six of the 55 transgenic R0 plant lines containing the Xa21 gene displayed high levels of resistance to the pathogen, and no partial resistance was observed. The trait was stably inherited in subsequent generations, and transgenic plants are currently in field tests. The ability to transfer agronomically important genes into elite Indica rice varieties demonstrates the applicability of genetic engineering for the agronomic improvement of rice.     

Whole genome resequencing in tomato reveals variation associated with introgression and breeding events

Background

One of the goals of genomics is to identify the genetic loci responsible for variation in phenotypic traits. The completion of the tomato genome sequence and recent advances in DNA sequencing technology allow for in-depth characterization of genetic variation present in the tomato genome. Like many self-pollinated crops, cultivated tomato accessions show a low molecular but high phenotypic diversity. Here we describe the whole-genome resequencing of eight accessions (four cherry-type and four large fruited lines) chosen to represent a large range of intra-specific variability and the identification and annotation of novel polymorphisms.

Results

The eight genomes were sequenced using the GAII Illumina platform. Comparison of the sequences with the reference genome yielded more than 4 million single nucleotide polymorphisms (SNPs). This number varied from 80,000 to 1.5 million according to the accessions. Almost 128,000 InDels were detected. The distribution of SNPs and InDels across and within chromosomes was highly heterogeneous revealing introgressions from wild species and the mosaic structure of the genomes of the cherry tomato accessions. In-depth annotation of the polymorphisms identified more than 16,000 unique non-synonymous SNPs. In addition 1,686 putative copy-number variations (CNVs) were identified.

Conclusions

This study represents the first whole genome resequencing experiment in cultivated tomato. Substantial genetic differences exist between the sequenced tomato accessions and the reference sequence. The heterogeneous distribution of the polymorphisms may be related to introgressions that occurred during domestication or breeding. The annotated SNPs, InDels and CNVs identified in this resequencing study will serve as useful genetic tools, and as candidate polymorphisms in the search for phenotype-altering DNA variations.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-14-791) contains supplementary material, which is available to authorized users.     

Whole-Genome Analyses of Korean Native and Holstein Cattle Breeds by Massively Parallel Sequencing

A main goal of cattle genomics is to identify DNA differences that account for variations in economically important traits. In this study, we performed whole-genome analyses of three important cattle breeds in Korea—Hanwoo, Jeju Heugu, and Korean Holstein—using the Illumina HiSeq 2000 sequencing platform. We achieved 25.5-, 29.6-, and 29.5-fold coverage of the Hanwoo, Jeju Heugu, and Korean Holstein genomes, respectively, and identified a total of 10.4 million single nucleotide polymorphisms (SNPs), of which 54.12% were found to be novel. We also detected 1,063,267 insertions–deletions (InDels) across the genomes (78.92% novel). Annotations of the datasets identified a total of 31,503 nonsynonymous SNPs and 859 frameshift InDels that could affect phenotypic variations in traits of interest. Furthermore, genome-wide copy number variation regions (CNVRs) were detected by comparing the Hanwoo, Jeju Heugu, and previously published Chikso genomes against that of Korean Holstein. A total of 992, 284, and 1881 CNVRs, respectively, were detected throughout the genome. Moreover, 53, 65, 45, and 82 putative regions of homozygosity (ROH) were identified in Hanwoo, Jeju Heugu, Chikso, and Korean Holstein respectively. The results of this study provide a valuable foundation for further investigations to dissect the molecular mechanisms underlying variation in economically important traits in cattle and to develop genetic markers for use in cattle breeding.     

Development of PCR-based SNP markers for rice blast resistance genes at the<Emphasis Type="Italic"> Piz</Emphasis> locus

We assessed the utility of single-nucleotide polymorphisms (SNPs) and small insertion/deletion polymorphisms (InDels) as DNA markers in genetic analysis and breeding of rice. Toward this end, we surveyed SNPs and InDels in the chromosomal region containing the Piz and Piz-t rice blast resistance genes and developed PCR-based markers for typing the SNPs. Analysis of sequences from a blast-susceptible Japanese cultivar and two cultivars each containing one of these genes revealed that SNPs are abundant in the Piz and Piz-t regions (on average, one SNP every 248 bp), but the number of InDels was much lower. The dense distribution of SNPs facilitated the generation of SNP markers in the vicinity of the genes. For typing these SNPs, we used a modified allele-specific PCR method. Of the 49 candidate allele-specific markers, 33 unambiguously and reproducibly discriminated between the two alleles. We used the markers for mapping the Piz and Piz-t genes and evaluating the size of DNA segments introgressed from the Piz donor cultivar in Japanese near-isogenic lines containing Piz. Our findings suggest that, because of its ability to generate numerous markers within a target region and its simplicity in assaying genotypes, SNP genotyping with allele-specific PCR is a valuable tool for gene mapping, map-based cloning, and marker-assisted selection in crops, especially rice.Communicated by D.J. Mackill     

Simultaneous improvement and genetic dissection of grain yield and its related traits in a backbone parent of hybrid rice (Oryza sativa L.) using selective introgression

Three populations with a total of 125 BC2F3:4 introgression lines (ILs) selected for high yields from three BC2F2 populations were used for genetic dissection of rice yield and its related traits. The progeny testing in replicated phenotyping across two environments and genotyping with 140 polymorphic simple sequence repeat markers allowed the identification of 21 promising ILs that had significantly higher yields than the recurrent parent Shuhui527 (SH527). A total of 94 quantitative trait loci (QTL) were identified using the selective introgression method based on Chi-squared (χ ²) and multi-locus probability tests and the RSTEP-LRT method based on stepwise regression. These QTL were mostly mapped to 12 clusters on seven rice chromosomes. Several important properties of the QTL affecting grain yield (GY) and its related traits were revealed. The first one was the presence of strong and frequent non-random associations between or among QTL that affect low-heritability traits (GY and spikelet number per panicle, SN) in the ILs with high trait values. Second, beneficial alleles at 88.9 % GY and 75 % SN QTL for increased productivity were from the donors, suggesting that direct phenotypic selection for high yield in our introgression breeding program was a powerful way to transfer beneficial alleles at many loci from the donors into SH527. Third, most QTL were in clusters with large effects on multiple traits, which should be the focal points in further investigations and marker-assisted selection in rice. The majority of the QTL identified were expressed only in one of the environments, suggesting that differential expression of QTL in different environments is the primary genetic basis of genotype × environment interaction. Finally, a large variation in both the direction and magnitude of QTL effects was detected for different donor alleles at seven QTL in the same genetic background and environments. This finding suggests the possible presence of functional diversity among the donor alleles at these loci. The promising ILs and QTL identified provide valuable materials and genetic information for further improving the yield potential of SH527, which is a backbone restorer of hybrid rice in China.     

几个优良籼稻亲本品质性状的配合力和杂种优势分析

以3个不育系和10个恢复系为材料,采用NCII交配设计研究10个米质性状的配合力和杂种优势。结果表明：①大多数品质性状的量值介于双亲之间,除粒重表现一定的超亲优势、垩白度和粒宽表现一定的正向平均优势外,其他品质性状优势不明显。②杂种稻米的品质性状主要受不育系或恢复系的影响,其中粒长、粒宽和直链淀粉含量3个性状,不育系的影响要高于恢复系;而对于整精米率、粒重、垩白率、垩白度和糊化温度,则恢复系的影响要高于不育系。③就优质育种的利用价值而言,不育系以广占63-4S为好,恢复系以扬稻6号为好,R527、镇恢084次之,用上述亲本选配的杂交组合米质较好;恢复系特青、盐恢559表现为一般配合力效应低,特殊配合力方差小,优质育种利用价值不大。     

籼型杂交稻光合特性的配合力分析

以6个籼型杂交稻三系不育系和5个恢复系按不完全双列杂交设计配制的30个杂交稻组合及其亲本品种为材料,对其光合性状进行了测定和分析,结果表明:(1)杂交稻组合的光合特性存在显著或极显著的组合间遗传差异,光合特性的遗传变异主要来自基因的非加性效应;(2)胞间CO2浓度、蒸腾速率、叶绿素a、叶绿素b和类胡萝卜素含量受不育系的影响大于恢复系,而气孔导度、叶绿素a+b含量受恢复系的影响大于不育系;(3)杂交稻光合性状的广义遗传力均大于狭义遗传力,各性状主要受基因互作及环境的影响。狭义遗传力的大小依次为叶绿素b、叶绿素a+b、叶绿素a、气孔导度、胞间CO2浓度、类胡萝卜素和蒸腾速率,这些性状具有中等遗传力;(4)9个光合性状杂交稻F1表型值与父母本一般配合力效应值之和的相关系数均达极显著水平。因此,可以根据父母本一般配合力效应值之和来预测杂交稻组合光合性状的表现,有利于高效选育高光效杂交稻组合。     

Application of denaturing high-performance liquid chromatography for rice variety identification and seed purity assessment

Recent DNA sequencing projects and the establishment of high-throughput assays have provided an abundance of sequence information and data on nucleotide polymorphisms in rice. Based on previously identified single-nucleotide polymorphisms (SNPs) and insertions/deletions, we employed denaturing high-performance liquid chromatography (DHPLC) to genotype rice varieties using a chromatographic pattern-based strategy. In this study, 12 amplicons harboring multiple and informative SNPs were screened. PCR products of the 12 amplicons from 47 rice varieties were analyzed by DHPLC and DNA sequencing. Each homozygous sample with a single peak pattern in the initial DHPLC analysis was mixed with zhenshan97 for a second DHPLC analysis. The 12 amplicons were found to be polymorphic across the hybrids, and mixed homozygous samples with 43 distinct DHPLC elution profiles detected. Sequence analysis confirmed that the distinct DHPLC patterns corresponded to different DNA sequences. A set of distinct characteristic profiles in six amplicons differentiated between all of the hybrids, inbred lines, and restorer lines and produced unique a fingerprint for these lines. In addition, we found that the DHPLC pattern of the hybrid was in accordance with the results obtained by DHPLC analysis of a mixed sample of the two parents. These results demonstrate that DHPLC can be efficiently applied for the rapid and automated identification of diverse rice varieties and could possibly be utilized for seed genetic purity testing on a high-throughput scale.     

Discovery of genome-wide DNA polymorphisms in a landrace cultivar of Japonica rice by whole-genome sequencing

Molecular breeding approaches are of growing importance to crop improvement. However, closely related cultivars generally used for crossing material lack sufficient known DNA polymorphisms due to their genetic relatedness. Next-generation sequencing allows the identification of a massive number of DNA polymorphisms such as single nucleotide polymorphisms (SNPs) and insertions-deletions (InDels) between highly homologous genomes. Using this technology, we performed whole-genome sequencing of a landrace of japonica rice, Omachi, which is used for sake brewing and is an important source for modern cultivars. A total of 229 million reads, each comprising 75 nucleotides of the Omachi genome, was generated with 45-fold coverage and uniquely mapped to 89.7% of the Nipponbare genome, a closely related cultivar. We identified 132,462 SNPs, 16,448 insertions and 19,318 deletions between the Omachi and Nipponbare genomes. An SNP array was designed to validate 731 selected SNPs, resulting in validation rates of 95 and 88% for the Omachi and Nipponbare genomes, respectively. Among the 577 SNPs validated in both genomes, 532 are entirely new SNP markers not previously reported between related rice cultivars. We also validated InDels on a part of chromosome 2 as DNA markers and successfully genotyped five japonica rice cultivars. Our results present the methodology and extensive data on SNPs and InDels available for whole-genome genotyping and marker-assisted breeding. The polymorphism information between Omachi and Nipponbare is available at NGRC_Rice_Omachi (http://www.nodai-genome.org/oryza_sativa_en.html).     

用微卫星DNA标记对我国杂交水稻主要恢复系遗传差异的检测分析

选用分布于水稻（Oryza sativaL.)12条染色体上的25对SSR（Simple sequence repeats)引物,分析了生产中广泛应用的35个杂交 水稻恢复系,在35个杂交水稻恢复系材料间共检测出65个等位基因（alleles),平均每对SSR引物可检测到2.6个等位基因,PIC（Polymorphism index content）值的变动范围为0.206-0.682,平均值为0.414。聚类分析表明,我国杂交 水稻恢复系资源比较丰富,但其遗传差异较小,遗传背景单一,从而在很大程度上限制了我国水稻杂种优势的利用。