(Updated 2018.08)

National Key Laboratory of Crop Genetic Improvement,

Huazhong Agricultural University,

No. 1 Shizishan Street, Hongshan, 430070,

Wuhan, China

tel: 86-13507144450

email:  heroalone@qq.com 

· Population genetics: typically on developing novel “molecular markers” and methodologies in GWAS to resolve missing heritability.

· NGS applications: majorly on applying RNA-seq & whole genome re-sequencing technologies to explore the functional genome of maize.

· Evolutionary genomics: especially on plant adaptation & regulatory evolution.

· Bio-data visualization & database construction.

RESEARCH INTERESTS

EDUCATION

2014-2017                     Ph.D. in Bioinformatics & genetics,

                                        National key laboratory of crop genetic improvement,

                                        college of life science and technology, Huazhong Agricultural University

2012-2014                     M.S. in Genetics,

                                        National key laboratory of crop genetic improvement,

                                        college of life science and technology, Huazhong Agricultural University

2007-2012                     B.S. in Biological Science,

                                        college of life science and technology,

                                        Huazhong Agricultural University, Wuhan, China.

PUBLICATIONS

1. Chen Q#, Han Y#, Liu H#, Wang X, Sun J, Zhao B, Li W, Tian J, Liang Y, Yan J, Yang X*, Tian F*. Genome-Wide Association Analyses Reveal the Importance of Alternative Splicing in Diversifying Gene Function and Regulating Phenotypic Variation in Maize. Plant Cell. 2018, doi:10.1105/tpc.18.00109.

2. Jin M, Liu X*, Jia W, Liu H, Li W, Peng Y, Du Y, Wang Y, Yin Y, Zhang X, Liu Q, Deng M, Li N, Cui X, Hao D, Yan J*. ZmCOL3, a CCT gene represses flowering in maize by interfering with the circadian clock and activating expression of ZmCCT. J Integr Plant Biol. 2018, 60(6):465-480.

3. Wang H, Xu S, Fan Y, Liu N, Zhan W, Liu H, Xiao Y, Li K, Pan Q, Li W, Deng M, Liu J, Jin M, Yang X, Li J, Li Q*, Yan J*. Beyond pathways: genetic dissection of tocopherol content in maize kernels by combining linkage and association analyses. Plant Biotechnol J. 2018, 16(8):1464-1475.

4. Wen W#, Jin M#, Li K, Liu H, Xiao Y, Zhao M, Alseekh S, Li W, de Abreu E Lima F, Brotman Y, Willmitzer L, Fernie AR*, Yan J*. An integrated multi-layered analysis of the metabolic networks of different tissues uncovers key genetic components of primary metabolism in maize. Plant J. 2018, 93(6):1116-1128.

5. Liu J, Huang J, Guo H, Lan L, Wang H, Xu Y, Yang X, Li W, Tong H, Xiao Y, Pan Q, Qiao F, Raihan MS, Liu H, Zhang X, Yang N, Wang X, Deng M, Jin M, Zhao L, Luo X, Zhou Y, Li X, Zhan W, Liu N, Wang H, Chen G, Li Q*, Yan J*. The conserved and unique genetic architecture of kernel size and weight in maize and rice. Plant Physiology. 2017, 175(2): 774-785.

6. Deng M, Li D, Luo J, Xiao Y, Liu H, Pan Q, Zhang X, Jin M, Zhao M, Yan J*. The genetic architecture of amino acids dissection by association and linkage analysis in maize. Plant Biotechnol J. 2017, 15(10): 1250-1263.

7. Liu H*, Yan J*. Rice domestication: An imperfect African solution. Nat Plants. 2017, 3:17083.

8. Xiao Y#, Liu H#, Wu L#, Warburton M, Yan J*. Genome-wide association studies in maize: praise and stargaze. Mol Plant. 2016, pii: S1674-2052(16)30308-2.

9. Liu H#, Wang F, Xiao Y, Tian Z, Wen W, Zhang X, Chen X, Liu N, Li W, Liu L, Liu J, Yan J, Liu J*. MODEM: Multi-Omics Data Envelopment and Mining in maize. Database(Oxford), 2016, pii: baw117.

10. Liu H#, Luo X#, Niu L, Xiao Y, Chen L, Liu J, Wang X, Jin M, Li W, Zhang Q, Yan J*. Distant eQTLs and non-coding sequences play critical roles in regulating gene expression and quantitative trait variation in maize. Mol Plant. 2016, pii: S1674-2052(16)30129-0.

11. Li X*, Liu N, You L, Ke X, Liu H, Huang M, Waddington S. Patterns of Cereal Yield Growth across China from 1980 to 2010 and Their Implications for Food Production and Food Security. PLoS One. 2016, 11(7):e0159061.

12. Zhang X#, Warburton ML, Setter T, Liu H, Xue Y, Yang N, Yan J, Xiao Y*. Genome-wide association studies of drought-related metabolic changes in maize using an enlarged SNP panel. Theor Appl Genet. 2016, 129(8):1449-63.

13. Jin M#, Liu H#, He C#, Fu J, Xiao Y, Wang Y, Xie W, Wang G, Yan J*. Maize pan-transcriptome provides novel insights into genome complexity and quantitative trait variation. Sci Rep. 2016, 6:18936.

14. Wen W*, Liu H, Zhou Y, Jin M, Yang N, Li D, Luo J, Xiao Y, Pan Q, Tohge T, Fernie A, Yan J. Combining quantitative genetics approaches with regulatory network analysis to dissect the complex metabolism of the maize kernel. Plant Physiol. 2016, 170(1):136-46.

15. Xiao Y#, Tong H#, Yang X, Xu S, Pan Q, Qiao F, Raihan MS, Luo Y, Liu H, Zhang X, Yang N, Wang X, Deng M, Jin M, Zhao L, Luo X, Zhou Y, Li X, Liu J, Zhan W, Liu N, Wang H, Chen G, Cai Y, Xu G, Wang W, Zheng D, Yan J*. Genome-wide dissection of the maize ear genetic architecture using multiple populations. New Phytol. 2016, 210(3):1095-106.

16. Wen W#, Li K, Alseek S, Omranian N, Zhou Y, Xiao Y, Jin M, Yang N, Liu H, Florian A, Li W, Pan Q, Nikoloski Z, Yan J* and Fernie A*. Genetic Determinants of the Network of Primary Metabolism and Their Relationships to Plant Performance in a Maize Recombinant Inbred Line Population. Plant Cell. 2015, 27(7):1839-56.

17. Liu H#, Wang X#, Warburton L, Wen W, Jin M, Liu J, Tong H, Pan Q, Yang X, Yan J*. Genomic, transcriptomic and phenomic variation reveals the complex adaptation of modern maize breeding. Mol Plant. 2015, 8(6):871-84.

18. Zuo W#, Chao Q#, Zhang N#, Ye J, Tan G, Li B, Xing Y, Zhang B, Liu H, Fengler K, Zhao J, Zhao X, Chen Y, Lai J, Yan J, Xu M*. A maize wall-associated kinase confers quantitative resistance to head smut. Nat Genet, 2015, 47(2):151-7.

19. Wen W#Li D#Li XGao YLi WLi HLiu JLiu HChen WLuo J*Yan J*. Metabolome-based genome-wide association study of maize kernel leads to novel biochemical insights. Nat Commun. 2014 5:3438.

20. Yan W#, Liu H#, Zhou X, Li Q, Zhang J, Lu L, Liu T, Liu HZhang C, Zhang Z, Shen G, Yao W, Chen H, Yu S, Xie WXing Y*. Natural variation in Ghd7.1 plays an important role in grain yield and adaptation in rice. Cell Res. 2013 23:969-71.

(#co-first author,  *Corresponding author;  ordered by publication date)

LIU,HAIJUN

HONORS

SKILLS

Programming in Perl, R and shell scripts.
Next-generation sequencing data analyzing.

Population genetics & quantitative genetics.

And … learn quickly.

2017    National Postdoctoral Program for Innovative Talents

2016    National Merit Scholarship (for PhD candidate)

2016     Academic Star of HZAU

2015     DuPont-Pioneer Scholarship

2013     National Merit Scholarship (for graduate student)

Professional positions

2017-Present    Post-Doctoral Fellow, National key laboratory of crop genetic improvement,

                        college of plant science and technology, Huazhong Agricultural University