Updated in Nov 2020



Nationality: Chinese

Present address:

National Key Laboratory of Crop Genetic Improvement

Huazhong Agricultural University

Wuhan 430070, China

Educational background:

Ø 2007/9-2012/6: Ph.D of Agronomy, Crop genetics and breeding, Huazhong Agricultural University, Wuhan, China

Ø 2003/9-2007/6: Bachelor of Agronomy, Plant science and technology, Huazhong Agricultural University, Wuhan, China

Professional experience:

2019/4 to present: Associate Professor, Huazhong Agricultural University, Wuhan, China (Big data analysis and designed breeding in maize).

2018/3 C 2019/2: Visiting Scholar, North Carolina State University, Raleigh, NC, USA (Quantitative genetics and GS for heterosis and plasticity in maize)

2012/8 C 2018/2: Postdoctoral associate, Huazhong Agricultural University, Wuhan, China (GWAS for multiparent designed populations in maize)

Typical Publications: (# First author, * Corresponding author)

1.        Liu N, Du Y, Warburton ML, Xiao Y*, Yan J* (2020) Phenotypic plasticity contributes to maize adaptation and heterosis. Mol Biol Evol DOI: 10.1093/molbev/msaa1283

2.        Liu H-J#, Wang X#, Xiao Y#, Luo J#, Qiao F#, Yang W#, Zhang R#, Meng Y, Sun J, Yan S, Peng Y, Niu L, Jian L, Song W, Yan J, Li C, Zhao Y, Liu Y, Warburton ML, Zhao J*, Yan J* (2020) CUBIC: an atlas of genetic architecture promises directed maize improvement. Genome Biol 21:20

3.        Deng M#, Zhang X, Luo J, Liu H, Wen W, Luo H, Yan J, Xiao Y* (2020) Metabolomic analysis reveals differences in evolution between maize and rice. Plant J DOI: 101111/tpj14856

4.        Liu N, Liu J, Li W, Pan Q, Yang X, Yan J, Xiao Y* (2018) Intraspecific variation of residual heterozygosity and its utility for quantitative genetic studies in maize. BMC Plant Biol 18(1):66

5.        Xiao Y#, Liu H#, Wu L#, Warburton M, Yan J (2017) Genome-wide association studies in maize: praise and stargaze. Mol Plant 10(3):359-374

6.        Zhang X, Warburton ML, Setter T, Liu H, Xue Y, Yang N, Yan J, Xiao Y* (2016) Genome-wide association studies of drought-related metabolic changes in maize using an enlarged SNP panel. Theor Appl Genet 129(8):1449-1463

7.        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 (2016) Genome-wide dissection of the maize ear genetic architecture using multiple populations. New Phytol 210(3):1095-1106

8.        Wu Z, Wang B, Chen X, Wu J, King GJ, Xiao Y*, Liu K* (2016) Evaluation of linkage disequilibrium pattern and association study on seed oil content in Brassica napus using ddRAD sequencing. PLoS One 11(1):e0146383

9.        Cai D#, Xiao Y#, Yang W, Ye W, Wang B, Younas M, Wu J, Liu K (2014) Association mapping of six yield-related traits in rapeseed (Brassica napus L.). Theor Appl Genet 127(1):85-96

10.    Xiao Y, Cai D, Yang W, Ye W, Younas M, Wu J, Liu K (2012) Genetic structure and linkage disequilibrium pattern of a rapeseed (Brassica napus L.) association mapping panel revealed by microsatellites. Theor Appl Genet 125(3):437-447

11.    Younas M#, Xiao Y#, Cai D, Yang W, Ye W, Wu J, Liu K (2012) Molecular characterization of oilseed rape accessions collected from multi continents for exploitation of potential heterotic group through SSR markers. Mol Biol Rep 39(5):5105-5113

Participant Publications:

1.        Deng M, Li D, Luo J, Xiao Y, Liu H, Pan Q, Zhang X, Jin M, Zhao M, Yan J (2017) The genetic architecture of amino acids dissection by association and linkage analysis in maize. Plant Biotechnol J 5:1250-1263

2.        Zhang X, Huang C, Wu D, Qiao F, Li W, Duan L, Wang K, Xiao Y, Chen G, Liu Q, Xiong L, Yang W, Yan J (2017) High-throughput phenotyping and QTL mapping reveals the genetic architecture of maize plant growth. Plant Physiol 173:1554-1564

3.        Liu H, Luo X, Niu L, Xiao Y, Chen L, Liu J, Wang X, Jin M, Li W, Zhang Q, Yan J (2016) Distant eQTLs and non-coding sequences play critical roles in regulating gene expression and quantitative trait variation in maize. Mol Plant 10:414-426

4.        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 (2016) MODEM: multi-omics data envelopment and mining in maize. Database pii: baw117

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

6.        Wen W, Liu H, Zhou Y, Jin M, Yang N, Li D, Luo J, Xiao Y, Pan Q, Tohge T, Fernie AR, Yan J (2016) Combining quantitative genetics approaches with regulatory network analysis to dissect the complex metabolism of the maize kernel. Plant Physiol 170:136-146

7.        Wen W, Li K, Alseekh S, Omranian N, Zhao L, Zhou Y, Xiao Y, Jin M, Yang N, Liu H, Florian A, Li W, Pan Q, Nikoloski Z, Yan J, Fernie AR (2015) Genetic determinants of the network of primary metabolism and their relationships to plant performance in a maize recombinant inbred line population. Plant Cell 27:1839-1856

8.        Zhao H, Huai Z, Xiao Y, Wang X, Yu J, Ding G, Peng J (2014) Natural variation and genetic analysis of the tiller angle gene MsTAC1 in Miscanthus sinensis. Planta 240:161-175

9.        Wang F, Wang X, Chen X, Xiao Y, Li H, Zhang S, Xu J, Fu J, Huang L, Liu C, Wu J, Liu K (2012) Abundance, marker development and genetic mapping of microsatellites from unigenes in Brassica napus. Mol Breeding 33:731-744

10.    Huang L, Jiang H, Ren X, Chen Y, Xiao Y, Zhao X, Tang M, Huang J, Upadhyaya HD, Liao B (2012) Abundant Microsatellite Diversity and Oil Content in Wild Arachis Species. PLoS One 7:e50002