Published researches based on data of RiceVarMap

1. Zhao, H., Yao, W., Ouyang, Y., Yang, W., Wang, G., Lian, X., Xing, Y., Chen, L. and Xie, W.  RiceVarMap: a comprehensive database of rice genomic variations. Nucleic Acids Research. 2014, 43(D1): D1018-D1022

2. Xie W, Wang G, Yuan M, et al. Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection. Proc Natl Acad Sci USA, 2015, 112(39): E5411-E5419

3. Chen W, Gao Y, Xie W, Gong L, Lu K, Wang W, Li Y, Liu X, Zhang H, Dong H, Zhang W, Zhang L, Yu S, Wang G, Lian X, Luo J. Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism. Nat Genet, 2014, 46: 714-721

4. Yu H, Xie W, Li J, Zhou F, Zhang Q. A whole-genome SNP array (RICE6K) for genomic breeding in rice. Plant Biotechnol J, 2014, 12: 28-37

5. Chen H, Xie W, He H, Yu H, Chen W, Li J, Yu R, Yao Y, Zhang W, He Y, Tang X, Zhou F, Deng X W, Zhang Q. A High-Density SNP Genotyping Array for Rice Biology and Molecular Breeding. Mol Plant, 2014, 7: 541-553

6. Yao W, Li G, Zhao H, et al. Exploring the rice dispensable genome using a metagenome-like assembly strategy. Genome Biol, 2015, 16(1): 187.

7. Magwa R A, Zhao H, Xing Y. Genome-wide association mapping revealed a diverse genetic basis of seed dormancy across subpopulations in rice (Oryza sativa L.). BMC genetics, 2016, 17(1): 28.

8. Hu Y, Huang Y, Zhang L, et al. Genome-wide association analysis reveals flowering?related genes regulating rachis length in rice. Plant Breed, 2016, 135(6): 677-682. 

9. Dong H, Zhao H, Xie W, et al. A novel tiller angle gene, TAC3, together with TAC1 and D2 largely determine the natural variation of tiller angle in rice cultivars. PLoS Genet, 2016, 12(11): e1006412.1

10. Han Z, Zhang B, Zhao H, et al. Genome-wide association studies reveal that diverse heading date genes respond to short and long day lengths between indica and japonica rice. Front Plant Sci, 2016, 7.

11. Chen W, Wang W, Peng M, et al. Comparative and parallel genome-wide association studies for metabolic and agronomic traits in cereals. Nat Commun, 2016, 7.

12. Zhou H, Li P, Xie W, et al. Genome-wide association analyses reveal the genetic basis of stigma exsertion in rice. Mol Plant, 2017, 10(4): 634-644.

13. Li X, Guo Z, Lv Y, et al. Genetic control of the root system in rice under normal and drought stress conditions by genome-wide association study. PLoS Genet, 2017, 13(7): e1006889.