Hu Zhao

RiceVarMap: a comprehensive database of rice genomic variations

Rice Variation Map (RiceVarMap, http:/ricevarmap.ncpgr.cn) is a database of rice genomic variations. The database provides comprehensive information of 6 551 358 single nucleotide polymorphisms (SNPs) and 1 214 627 insertions/deletions (INDELs) identified from sequencing data of 1479 rice accessions. The SNP genotypes of all accessions were imputed and evaluated, resulting in an overall missing data rate of 0.42% and an estimated accuracy greater than 99%. The SNP/INDEL genotypes of all accessions are available for online query and download. Users can search SNPs/INDELs by identifiers of the SNPs/INDELs, genomic regions, gene identifiers and keywords of gene annotation. Allele frequencies within various subpopulations and the effects of the variation that may alter the protein sequence of a gene are also listed for each SNP/INDEL. The database also provides geographical details and phenotype images for various rice accessions. In particular, the database provides tools to construct haplotype networks and design PCR-primers by taking into account surrounding known genomic variations. These data and tools are highly useful for exploring genetic variations and evolution studies of rice and other species.

Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection

Significance Intensive rice breeding over the past 50 y has produced many high-performing cultivars, but our knowledge of the genomic changes associated with such improvement remains limited. By analyzing sequences of 1,479 rice accessions, this study identified genomic changes associated with breeding efforts, referred to as breeding signatures, involving 7.8% of the rice genome. Accumulation of selected regions is positively correlated with yield improvement. The number of selected regions in a line may be used for predicting agronomic potential, and the selected loci may provide useful targets for rice improvement. Intensive rice breeding over the past 50 y has dramatically increased productivity especially in the indica subspecies, but our knowledge of the genomic changes associated with such improvement has been limited. In this study, we analyzed low-coverage sequencing data of 1,479 rice accessions from 73 countries, including landraces and modern cultivars. We identified two major subpopulations, indica I (IndI) and indica II (IndII), in the indica subspecies, which corresponded to the two putative heterotic groups resulting from independent breeding efforts. We detected 200 regions spanning 7.8% of the rice genome that had been differentially selected between IndI and IndII, and thus referred to as breeding signatures. These regions included large numbers of known functional genes and loci associated with important agronomic traits revealed by genome-wide association studies. Grain yield was positively correlated with the number of breeding signatures in a variety, suggesting that the number of breeding signatures in a line may be useful for predicting agronomic potential and the selected loci may provide targets for rice improvement.

Three CCT domain-containing genes were identified to regulate heading date by candidate gene-based association mapping and transformation in rice

CCT domain-containing genes generally control flowering in plants. Currently, only six of the 41 CCT family genes have been confirmed to control flowering in rice. To efficiently identify more heading date-related genes from the CCT family, we compared the positions of heading date QTLs and CCT genes and found that 25 CCT family genes were located in the QTL regions. Association mapping showed that a total of 19 CCT family genes were associated with the heading date. Five of the seven associated genes within QTL regions and two of four associated genes outside of the QTL regions were confirmed to regulate heading date by transformation. None of the seven non-associated genes outside of the QTL regions regulates heading date. Obviously, combination of candidate gene-based association mapping with linkage analysis could improve the identification of functional genes. Three novel CCT family genes, including one non-associated (OsCCT01) and two associated genes (OsCCT11 and OsCCT19) regulated the heading date. The overexpression of OsCCT01 delayed flowering through suppressing the expression of Ehd1, Hd3a and RFT1 under both long day and short day conditions. Potential functions in regulating heading date of some untested CCT family genes were discussed.

Combinations of the Ghd7, Ghd8 and Hd1 genes largely define the ecogeographical adaptation and yield potential of cultivated rice

Rice cultivars have been adapted to favorable ecological regions and cropping seasons. Although several heading date genes have separately made contributions to this adaptation, the roles of gene combinations are still unclear. We employed a map-based cloning approach to isolate a heading date gene, which coordinated the interaction between Ghd7 and Ghd8 to greatly delay rice heading. We resequenced these three genes in a germplasm collection to analyze natural variation. Map-based cloning demonstrated that the gene largely affecting the interaction between Ghd7 and Ghd8 was Hd1. Natural variation analysis showed that a combination of loss-of-function alleles of Ghd7, Ghd8 and Hd1 contributes to the expansion of rice cultivars to higher latitudes; by contrast, a combination of pre-existing strong alleles of Ghd7, Ghd8 and functional Hd1 (referred as SSF) is exclusively found where ancestral Asian cultivars originated. Other combinations have comparatively larger favorable ecological scopes and acceptable grain yield. Our results indicate that the combinations of Ghd7, Ghd8 and Hd1 largely define the ecogeographical adaptation and yield potential in rice cultivars. Breeding varieties with the SSF combination are recommended for tropical regions to fully utilize available energy and light resources and thus produce greater yields.

A Novel Tiller Angle Gene, TAC3 , together with TAC1 and D2 Largely Determine the Natural Variation of Tiller Angle in Rice Cultivars

Tiller angle is one of the most important components of the ideal plant architecture that can greatly enhance rice grain yield. Understanding the genetic basis of tiller angle and mining favorable alleles will be helpful for breeding new plant-type varieties. Here, we performed genome-wide association studies (GWAS) to identify genes controlling tiller angle using 529 diverse accessions of Oryza sativa including 295 indica and 156 japonica accessions in two environments. We identified 7 common quantitative trait loci (QTLs), including the previously reported major gene Tiller Angle Control 1 (TAC1), in the two environments, 10 and 13 unique QTLs in Hainan and Wuhan, respectively. More QTLs were identified in indica than in japonica, and three major QTLs (qTA3, qTA1b/DWARF2 (D2) and qTA9c/TAC1) were fixed in japonica but segregating in indica, which explained the wider variation observed in indica compared with that in japonica. No common QTLs were identified between the indica and japonica subpopulations. Mutant analysis for the candidate gene of qTA3 on chromosome 3 indicated a novel gene, Tiller Angle Control 3 (TAC3), encoding a conserved hypothetical protein controlling tiller angle. TAC3 is preferentially expressed in the tiller base. The ebisu dwarf (d2) mutant exhibited a decreased tiller angle, in addition to its previously described abnormal phenotype. A nucleotide diversity analysis revealed that TAC3, D2 and TAC1 have been subjected to selection during japonica domestication. A haplotype analysis identified favorable alleles of TAC3, D2 and TAC1, which may be used for breeding plants with an ideal architecture. In conclusion, there is a diverse genetic basis for tiller angle between the two subpopulations, and it is the novel gene TAC3 together with TAC1, D2, and other newly identified genes in this study that controls tiller angle in rice cultivars.

QTL Scanning for Rice Yield Using a Whole Genome SNP Array

High-throughput SNP genotyping is widely used for plant genetic studies. Recently, a RICE6K SNP array has been developed based on the Illumina Bead Array platform and Infinium SNP assay technology for genome-wide evaluation of allelic variations and breeding applications. In this study, the RICE6K SNP array was used to genotype a recombinant inbred line (RIL) population derived from the cross between the indica variety, Zhenshan 97, and the japonica variety, Xizang 2. A total of 3324 SNP markers of high quality were identified and were grouped into 1495 recombination bins in the RIL population. A high-density linkage map, consisting of the 1495 bins, was developed, covering 1591.2 cM and with average length of 1.1 cM per bin. Segregation distortions were observed in 24 regions of the 11 chromosomes in the RILs. One half of the distorted regions contained fertility genes that had been previously reported. A total of 23 QTLs were identified for yield. Seven QTLs were firstly detected in this study. The positive alleles from about half of the identified QTLs came from Zhenshan 97 and they had lower phenotypic values than Xizang 2. This indicated that favorable alleles for breeding were dispersed in both parents and pyramiding favorable alleles could develop elite lines. The size of the mapping population for QTL analysis using high throughput SNP genotyping platform is also discussed.

Genome-Wide Association Analysis Reveals Different Genetic Control in Panicle Architecture Between and Rice.

Thirty loci for panicle size were identified by genome‐wide association analysis. Ghd7 and DST were specifically associated with panicle length in indica and japonica rice. Different gene networks regulate panicle architecture in indica and japonica rice.

Loss of function of OsMADS3 via the insertion of a novel retrotransposon leads to recessive male sterility in rice (Oryza sativa)

Natural mutation is the source of natural variation, which is the fundamental basis for the genetic improvement of crops. During the process of developing a recombinant inbred line (RI), a spontaneous mutagenesis in RI127 led to the production of the recessive male-sterile line RI127S. Via a map-based cloning approach, the gene controlling the male sterility was identified as OsMADS3, which was previously reported to be associated with floral organ development and male sterility. Thermal asymmetric interlaced PCR isolated one 1633-bp insertion in OsMADS3 in RI127S, which damaged its function due to failed transcription. The 1633-bp insertion was derived from a fragment flanked by retrotransposon genes on chromosome 5. Seven haplotypes of OsMADS3 were observed among 529 cultivars and 107 wild rice accessions, and 98% of the investigated genotypes carried the same H2 haplotype, indicating that OsMADS3 is highly conserved. RI127S has the combined genome constitution of its parents, indica rice Teqing and japonica 02428, and carries the widely compatible S5 gene donated by 02428. RI127 exhibits good performance in regard to its agronomic traits and has a wide compatibility. Therefore, RI127S would be an elite mediator for recurrent breeding in cases requiring a tedious hand-crossing-based inter-crossing phase. RI127S can be crossed not only with indica rice but also with japonica rice, thus providing breeders with flexible arrangements in recurrent breeding programs.

Genome-Wide Association Studies Reveal that Diverse Heading Date Genes Respond to Short and Long Day Lengths between Indica and Japonica Rice.

Rice is a short-day plant. Short-day length promotes heading, and long-day length suppresses heading. Many studies have evaluated rice heading in field conditions in which some individuals in the population were exposed to various day lengths, including short and long days, prior to a growth phase transition. In this study, we investigated heading date under natural short-day conditions (SD) and long-day conditions (LD) for 100s of accessions and separately conducted genome-wide association studies within indica and japonica subpopulations. Under LD, three and four quantitative trait loci (QTLs) were identified in indica and japonica subpopulations, respectively, two of which were less than 80 kb from the known genes Hd17 and Ghd7. But no common QTLs were detected in both subpopulations. Under SD, six QTLs were detected in indica, three of which were less than 80 kb from the known heading date genes Ghd7, Ehd1, and RCN1. But no QTLs were detected in japonica subpopulation. qHd3 under SD and qHd4 under LD were two novel major QTLs, which deserve isolation in the future. Eleven known heading date genes were used to test the power of association mapping at the haplotype level. Hd17, Ghd7, Ehd1, and RCN1 were again detected at more significant level and three additional genes, Hd3a, OsMADS56, and Ghd7.1, were detected. However, of the detected seven genes, only one gene, Hd17, was commonly detected in both subpopulations and two genes, Ghd7 and Ghd7.1, were commonly detected in indica subpopulation under both conditions. Moreover, haplotype analysis identified favorable haplotypes of Ghd7 and OsMADS56 for breeding design. In conclusion, diverse heading date genes/QTLs between indica and japonica subpopulations responded to SD and LD, and haplotype-level association mapping was more powerful than SNP-level association in rice.

Genomewide association analysis for awn length linked to the seed shattering gene qSH1 in rice

Awn is one of the most important domesticated traits in rice (Oryza sativa). Understanding the genetic basis of awn length is important for grain harvest and production, because long awn length is disadvantageous for both grain harvest and milling. We investigated the awn length of 529 rice cultivars and performed a Genomewide association studies (GWAS) in the indica and japonica subpopulations, and the whole population. In total, we found 17 loci associated with awn length. Of these loci, seven were linked to previously reported quantitative trait loci, and one was linked to the awn gene An-1. Nine novel loci were repeatedly identified in different environments. One of the nine associations was identified in both the whole and japonica populations. Special interest was the detection of the most significant association SNP, sf0136352825, which was less than 95 kb from the seed shattering gene qSH1. These results may provide potentially favourable haplotypes for molecular breeding in rice.