基本信息
1976.05
科学伦理与学术规范，遗传学进展，专业导论等
办公电话：027-87280110
电子邮件：yjianbing@mail.hzau.edu.cn
严建兵，永利最新登录入口教授，博士生导师。兼任yl23455永利副董事长，作物遗传改良国家重点实验室副主任，洪山实验室首席科学家、实验室常务副主任等职务。目前主要从事玉米基因组学和分子育种方面的研究。1995年9月-2003年6月，在华中农业老员工命科学技术学院先后获得理学学士、理学博士学位。2003年12月-2005年9月，在中国农业大学任讲师；2005年10月-2009年7月，在中国农业大学任教授；2006年10月-2008年9月，在国际玉米小麦改良中心从事博后研究；2008年10月-2011年3月，先后在国际玉米小麦改良中心担任副科学家、科学家；2010年9月至今（含6个月过渡期），于yl23455永利担任教授。在本学科主流杂志上发表SCI论文163篇：以第一作者或通讯作者（含共同）在Nat Genet（3篇）, Nat Commun（7篇）, PNAS, PLoS Genet, Plant Cell（2篇）, New Phytol（2篇）, Mol Plant（8篇）, Plant J（4篇）, Plant Physiol（6篇）等期刊发表论文83篇。论文累计被引频次总计9038次，单篇最高被引538次，H-index为51（基于Web of Science，20210725）。先后主持多项国家自然科学基金项目、转基因专项、863项目、十三五国家重点研发专项等国家级项目及课题。目前为中国作物学会常务理事；中国植物生理与分子生物学学会理事。作物学报，Genome Biology, Plant Journal, Theoretical and Applied Genetics, Journal of Integrative Plant Biology, Science China Life Sciences, Journal of Genetics and Genomics等学术期刊编委。
1. 国家重点研发计划-“战略性科技创新合作”专项，2020YFE0202300，G2P: 农作物基因资源阐析，2020.06-2024.06，在研，主持
2. 国家自然基金联合基金项目，U1901201，甜玉米品质遗传基础解析及关键基因挖掘和利用，2020.01-2023.12，在研，主持
3. 国家自然基金联合基金项目国际(地区)合作与交流项目，31961133002，结合多组学和新兴技术开展基于知识驱动的玉米产量遗传改良，2019.01-2021.12，在研，主持
4. 国家自然基金重点项目，31730064，玉米单倍体诱导机制的遗传和分子解析，2018.01-2022.12，在研，主持
5. 国家重点研发计划七大作物育种专项课题，2016YFD0101003，玉米产量、品质性状的功能基因组与调控网络，2016.07-2020.12，在研，主持
6. 国家自然基金国家杰出青年科学基金项目，31525017，玉米基因组学与分子育种，2016.01 - 2020.12，在研，主持
7. 国家科技重大专项转基因项目，2014ZX0800944B，控制玉米和水稻粒重主效QTL的克隆和功能分析，2014.01-2016.12，结题，主持
8. 国家高技术研究发展计划（863计划），2012AA10A307，玉米大规模功能基因发掘及基因组学研究的资源、技术、信息等平台建设，2012.01-2015.12，结题，主持
9. 国家自然基金优秀青年科学基金项目，31222041，玉米基因组学与分子育种，2013.01-2015.12，结题，主持
10. 国家自然基金国际（地区）合作与交流项目，31161140347，结合连锁和关联分析剖析玉米主要叶部病害的遗传结构，2012.01-2016.12，结题，主持
11. 国家自然基金优秀国家重点实验室研究项目，31123009，玉米和水稻重要性状的全基因组关联分析，2012.01-2015.12，结题，主持
发明专利：
1. METHODS OF IDENTIFYING, SELECTING, AND PRODUCING SOUTHERN CORN RUST RESISTANT CROPS，授权专利（美国），WO 2019/236257 A1， 1/8
2. 控制玉米株高和穗位高基因ZKM89及其应用，授权专利（中国），ZL 2019 1 1271451.8，4/6
3. 一种控制玉米雌性性状的基因以及用于创制玉米雌性不育系的试剂盒、突变基因型和方法，授权专利（中国），ZL 2019 1 1260400.5，4/4
4. 一种基因组特定区域的DNA测序方法，授权专利（中国），ZL 2018 1 1606050.9，2/3
5. 控制玉米叶宽基因ZmNL4及其应用，授权专利（中国），ZL 2018 1 0108676.0，1/2
6. 一种含CCT结构域的转录因子ZmCOL3及其编码基因、载体、宿主菌和应用，授权专利（中国），ZL 2017 1 0668440.8 ，3/9
7. 调控玉米生育酚合成的核苷酸序列及其应用，授权专利（中国），ZL 2017 1 0431535.8，2/2
8. 一种与玉米GPAT基因连锁的SNP位点及其应用，授权专利（中国），ZL 2012 1 0444681.1，1/4
9. 一种玉米油份含量相关的LACS基因位点及其应用，授权专利（中国），ZL 2012 1 0444682.6 ，1/4
10. 一种玉米油份含量相关基因的分子标记的应用，授权专利（中国），ZL 2012 1 0444716.1，1/4
11. 玉米油份含量相关的衣被蛋白复合体(COPⅡ)基因位点及应用，授权专利（中国），ZL 2012 1 0444717.6 ，1/4
12. 一种玉米油份含量相关的SNP位点及其应用，授权专利（中国），ZL 2012 1 0444673.7，1/4
主要奖励：
1. 2019年 获湖北“师德先进个人”荣誉称号
2. 2018年 荣获第七届中国侨界贡献奖二等奖
3. 2017年 入选第三批“国家高层次人才计划”科技创新领军人才
4. 2016年 荣获国家技术发明奖二等奖（第二完成人）；获第14届中国青年科技奖；入选科技部创新人才推进计划“中青年科技创新领军人才”；入选“长江学者奖励计划”特聘教授
5. 2015年 入选农业部“农业科研杰出人才”，带领的玉米团队入选农业部“创新团队”和湖北省自然基金委创新团队；获国家杰出青年科学基金
6. 2014年 荣获国际玉米小麦改良中心青年杰出员工
7. 2013年 入选首批中组部“国家高层次人才计划-青年拔尖人才计划”、教育部技术发明奖一等奖（第二完成人）
8. 2012年 获国家自然科学基金委优秀青年基金、荣获湖北省青年五四奖章光荣称号
9. 2011年 入选“新世纪优秀人才支持计划”（教育部）、荣获“杜邦青年教授奖” （该奖项每年授予全世界范围内生命科学，农学，工程，电子等不同学科领域取得突出贡献的青年科学家，严建兵教授是2011年度我国唯一的获奖者、当年全球共有18人获奖）
10. 2010年 荣获日本“国际青年农业科学家奖” （该奖项由日本农业部颁发，每年在全世界范围内奖励三名在农业研究方面做出突出贡献的青年农业科学家）
学术论文
1. Zhou Q#, Fu Z#*, Liu H, Wang J, Guo Z, Zhang X, Tian R, Liu Y, Qu J, Li W, Yan J*, Tang J* (2021) Mining novel kernel size-related genes by pQTL mapping and multi-omics integrative analysis in developing maize kernels. Plant Biotechnol J, doi: 10.1111/pbi.13634
2. Fernie AR*, Alseekh S, Liu J, Yan J*(2021) Using Precision Phenotyping to Inform de novo Domestication. Plant Physiol, doi: 10.1093/plphys/kiab160
3. Xiao Y#, Jiang S#, Cheng Q#, Wang X#, Yan J, Zhang R, Qiao F, Ma C, Luo J, Li W, Liu H, Yang W, Song W, Meng Y, Warburton ML, Zhao J*, Wang X*, Yan J*(2021) The genetic mechanism of heterosis utilization in maize improvement. Genome Biol, 10;22(1):148
4. Liang Y#, Liu H#, Yan J*, Tian F* (2021) Natural Variation in Crops: Realized Understanding, Continuing Promise. Annu Rev Plant Biol, doi: 10.1146/annurev-arplant-080720-090632
5. Li W, Yu Y, Wang L, Luo Y, Peng Y, Xu Y, Liu X, Wu S, Jian L, Xu J, Xiao Y*, Yan J*(2021) The genetic architecture of the dynamic changes in grain moisture in maize. Plant Biotechnol J, 19(6):1195-1205
6. Yang N*, Yan J*(2021) New genomic approaches for enhancing maize genetic improvement. Curr Opin Plant Biol, 60:101977
7. Liu N, Du Y, Warburton ML, Xiao Y*, Yan J*(2020) Phenotypic plasticity contributes to maize adaptation and heterosis. Mol Biol Evol, 38(4):1262-1275
8. Liu J*, Fernie AR, Yan J*(2020) Crop breeding - from experience-based selection to precision design. J Plant Physiol, 256:153313
9. Liu J, Li J, Wang H*, Yan J*(2020) Application of Deep Learning in Genomics. Sci China Life Sci, 63(12):1860-1878
10. Li Q*, Yan J* (2020) Sustainable agriculture in the era of omics: knowledge-driven crop breeding. Genome Biol, 21(1):154
11. Gui S, Yang L, Li J, Luo J, Xu X, Yuan J, Chen L, Li W, Yang X, Wu S, Li S, Wang Y, Zhu Y, Gao Q, Yang N*, Yan J* (2020) ZEAMAP, a comprehensive database adapted to the maize multi-omics era. iScience, 23(6):101241
12. Luo C, Femie AR, Yan J* (2020) Single-Cell Genomics and Epigenomics: Technologies and Applications in Plants. Trends Plant Sci, 25(10):1030-1040
13. Huang J, Lu G, Liu L, Raihan MS, Xu J, Jian L, Zhao L, Thu M. Tran, Zhang Q, Liu J, Li W, Wei C, Braun DM, Li Q, Fernie AR, Jackson D*, Yan J* (2020) The kernel size-related quantitative trait locus qKW9 encodes a pentatricopeptide repeat protein that affects photosynthesis and grain filling. Plant Physiol, 183(4):1696-1709
14. Fernie AR*, Yan J* (2020) Targeting Key Genes to Tailor Old and New Crops for a Greener Agriculture. Mol Plant, 13(3):354-356
15. Wang S#, Tian L#, Liu H#, Li X, Zang J, Chen X, Jia X, Zheng X, Chen Y, Yan J*, Wu L* (2020) Large-scale Discovery of Non-conventional Peptides in Maize and Arabidopsis Through an Integrated Peptidogenomic Pipeline. Mol Plant, 13 (7): 1078-1093
16. Liu H#, Jian L#, Xu J#, Zhang Q, Zhang M, Jin M, Peng Y, Yan J, Han B, Liu J, Gao F, Liu X, Huang L, Wei W, Ding Y, Yang X, Li Z, Zhang M, Sun J, Bai M, Song W, Chen H, Sun X, Li W, Lu Y, Liu Y, Zhao J, Qian Y, Jackson D, Fernie AR, Yan J* (2020) High-Throughput CRISPR/Cas9 Mutagenesis Streamlines Trait Gene Identification in Maize. Plant Cell, 32(5):1397-1413
17. Liu H#, 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 architecturepromises directed maize improvement. Genome Biol, 21(1):20
18. Liu J*, Fernie AR, Yan J*(2020) The past, present and future of maize improvement – domestication, genomics and functional genomic routes towards crop enhancement. Plant Commun, 1,100010
19. Yang N, Wu Shen, Yan J* (2019) Structural variation in complex genome: detection, integration and function. Sci China Life Sci, 62(8): 1098-1100
20. Peng Y#, Xiong D#, Zhao L, Ouyang W, Wang S, Sun J, Zhang Q, Guan P, Xie L, Li W, Li G*, Yan J*, Li X* (2019) Chromatin interaction maps reveal genetic regulation for quantitative traits in maize. Nat Commun, 10(1):2632
21. Yan J*, Tan BC (2019) Maize biology: From functional genomics to breeding application. J Integr Plant Biol, 2019, 61(6):654-657
22. Zhan W, Liu J, Pan Q, Wang H, Yan S, Li K, Deng M, Li W, Liu N, Kong Q, Fernie AR, Yan J* (2019) An allele of ZmPORB2 encoding a protochlorophyllide oxidoreductase promotes tocopherol accumulation in both leaves and kernels of maize. Plant J, 100(1):114-127
23. Yang N#, Liu J#, Gao Q#, Gui S, Chen L, Yang L, Huang J, Deng T, Luo J, He L, Wang Y, Xu P, Peng Y, Shi Z, Lan L, Ma Z, Yang X, Zhang Q, Bai M, Li S, Li W, Liu L, Jackson D, Yan J* (2019) Genome assembly of a tropical maize inbred line provides insights into structural variation and crop improvement. Nat Genet, 51(6):1052-1059
24. Fernie AR*, Yan J* (2019) De Novo Domestication: An Alternative Route toward New Crops for the Future. Mol Plant, 12(5):615-631
25. Li K#, Wen W#, Alseekh S, Yang X, Guo H, Li W, Wang L, Pan Q, Zhan W, Liu J, Li Y, Wu X, Brotman Y, Willmitzer L, Li J*, Fernie AR*, Yan J* (2019) Large-scale metabolite quantitative trait locus analysis provides new insights for high-quality maize improvement. Plant J, 99(2):216-230
26. Li X#, Chen L#, Zhang Q, Sun Y, Li Q*, Yan J* (2019) BRIF-Seq: Bisulfite-Converted Randomly Integrated Fragments Sequencing at the Single-Cell Level. Mol Plant, 12(3):438-446
27. Luo C#, Li X*#, Zhang Q, Yan J*(2019) Single gametophyte sequencing reveals that crossover events differ between sexes in maize. Nat Commun, 10(1):785
28. 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* (2018) An Integrated Multi-layered Analysis of the Metabolic Networks of Different Tissues Uncovers Key Genetic Components of Primary Metabolism in Maize. Plant J, 93(6): 1116–1128
29. 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* (2018) Beyond pathways: genetic dissection of tocopherol content in maize kernels by combining linkage and association analyses. Plant Biotechnol J, 16(8):1464-1475
30. Liu H*, Yan J*(2018) Crop genome-wide association study: A harvest of biological relevance. Plant J, 97(1): 8-18
31. 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 C, Hao D, Yan J* (2018) ZmCOL3, a CCT gene represses flowering in maize by interfering with the circadian clock and activating expression of ZmCCT. J Integr Plant Biol, 60(6):465-480
32. Ma H, Li G, Würschum T, Zhang Y, Zheng D, Yang X, Li J, Liu W*, Yan J*, Chen S* (2018) Genome-Wide Association Study of Haploid Male Fertility in Maize (Zea Mays L.). Front Plant Sci, 9:974
33. Liu C#, Li X#, Meng D#, Zhong Y, Chen C, Dong X, Xu X, Chen B, Li W, Li L, Tian X, Zhao H, Song W, Luo H, Zhang Q, Lai J, Jin W*, Yan J*(2017) A 4-bp Insertion at ZmPLA1 Encoding a Putative Phospholipase A Generates Haploid Induction in Maize. Mol Plant, 10(3):520-522
34. Liu H#, Luo X#, Niu L, Xiao Y, Chen L, Liu J, Wang X, Jin M, Li W, Zhang Q, Yan J*(2017) Distant eQTLs and non-coding sequences play critical roles in regulating gene expression and quantitative trait variation in maize. Mol Plant, 10(3):414-426
35. 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(3):1554-1564
36. 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
37. 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 HJ, 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*(2017) The Conserved and Unique Genetic Architecture of Kernel Size and Weight in Maize and Rice. Plant Physiol, 175(2):774-785
38. Yang N#, Xu X#, Wang R, Peng W, Cai L, Song J, Li W, Luo X, Niu L, Wang Y, Jin M, Chen L, Luo J, Deng M, Wang L, Pan Q, Liu F, Jackson D, Yang X, Chen L*, Yan J*(2017) Contributions of Zea mays subspecies mexicana haplotypes to modern maize. Nat Commun, 8(1):1874
39. Li X#, Meng D#, Chen S, Luo H, Zhang Q, Jin W*, Yan J* (2017) Single nucleus sequencing reveals spermatid chromosome fragmentation as a possible cause of maize haploid induction. Nat Commun, 8(1):991
40. 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, 15(10):1250-1263
41. Pan Q, Xu Y, Li K, Peng Y, Zhan W, Li W, Li L*, Yan J*(2017) The Genetic Basis of Plant Architecture in 10 Maize Recombinant Inbred Line Populations. Plant Physiol, 175(2):858-873
42. Liu H*, Yan J*(2017) RICE DOMESTICATION An imperfect African solution. Nat Plants, 3(6):17083
43. Raihan MS, Liu J, Huang J, Guo H, Pan QC, Yan J*（2016）Multi-environment QTL analysis of grain morphology traits and fine mapping of a kernel-width QTL in Zheng58 × SK maize population. Theor Appl Genet, 129:1465–1477
44. Pan Q, Li L, Yang X, Tong H, Xu S, Li Z, Li W, Muehlbauer G, Li J, Yan J* (2016) Genome-wide recombination dynamics are associated with phenotypic variation in maize. New Phytol, 210(3):1083-1094
45. Xiao Y, Tong H, Yang X, Xu S, Pan Q, Qiao F, Raihan M, 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 Wei, 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 by using multiple populations. New Phytol, 210(3):1095-1106
46. 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-UK，6:18936
47. Liu J, Deng M, Guo H, Raihan D, Luo J, Xu Y, Dong X, Yan J* (2015) Maize orthologs of rice GS5 and their trans-regulator are associated with kernel development. J Integr Plant Biol,57(11):943-953
48. Ding J, Ali F, Chen G, Li H, Mahuku G, Yang N, Narro L, Magorokosho C, Makumbi D, Yan J*(2015) Genome-wide association mapping reveals novel sources of resistance to northern corn leaf blight in maize. BMC Plant Biol,15:206
49. 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 A* (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(7): 1839–1856
50. Xing A, Gao Y, Ye L, Zhang W, Cai L, Ching A, Llaca V, Johnson B, Liu L, Yang XH, Kang D*, Yan J*, Li J* (2015) A rare SNP mutation in Brachytic2 moderately reduces plant height and increases yield potential in maize. J Exp Bot,66 (13): 3791-3801
51. Liu H, Wang X, Warburton M, Wen W, Jin M, Deng M, Liu J, Tong H, Pan Q, Yang X, Yan J*(2015) Genomic, Transcriptomic, and Phenomic Variation Reveals the Complex Adaptation of Modern Maize Breeding. Mol Plant, 8(6): 871-84
52. Li X, Li L, Yan J* (2015) Dissecting meiotic recombination based on tetrad analysis by single microspore sequencing in maize. Nat Commun,6: 6648
53. Guo T, Yang N, Tong H, Pang Q, Yang X, Tang J, Wang J, Li J, Yan J* (2014) Genetic basis of grain yield heterosis in an “immortalized F2s” maize population. Theor Appl Genet,127: 2149-2158
54. Yang N, Lu Y, Yang X, Huang J, Zhou Y, Ali F, Wen W, Liu J, Li J, Yan J*(2014) Genome Wide Association Studies Using a New Nonparametric Model Reveal the Genetic Architecture of 17 Agronomic Traits in an Enlarged Maize Association Panel. PLoS Genet, 10(9):e1004573
55. Wen W, Li D, Li X, Gao Y, Li W, Li H, Liu J, Liu H, Chen W, Luo J*, Yan J* (2014) Metabolome-based genome-wide association study of maize kernel leads to novel biochemical insights. Nat Commun,5:3438
56. Fu J, Cheng Y, Linghu J, Yang X, Kang L, Zhang Z, Zhang J, He C, Du X, Peng Z, Wang B, Zhai L, Dai C, Xu J, Wang W, Li X, Zheng J, Chen L, Luo L, Liu J, Qian X, Yan J*, Wang J*, Wang G* (2013) RNA sequencing reveals the complex regulatory network in the maize kernel. Nat Commun,4:2832
57. Yang Q, Li Z, Li W, Ku L, Ye J, Li K, Yang N, Li Y, Zhong T, Li J, Chen Y*, Yan J*, Yang X*, Xu M* (2013) CACTA-like transposable element in ZmCCT attenuated photoperiod sensitivity and accelerated the postdomestication spread of maize. ProcNatlAcadSciUSA,110(42):16969-16974
58. Xue Y, Warburton ML, Sawkins M, Zhang X, Setter T, Xu Y, Grudloyma P, Gethi J, Ribaut JM, Li W, Zhang X, Zheng Y, Yan J* (2013) Genome-wide association analysis for nine agronomic traits in maize under well-watered and water-stressed conditions. Theor Appl Genet, 126(10): 2587-2596
59. Ali F, Pan Q, Chen G, Zahid KR, Yan J* (2013) Evidence of multiple disease resistance (MDR) and implication of meta-analysis in marker assisted selection. PLoS ONE, 8 (7): e68150
60. Fu Z, Chai Y, Zhou Y, Yang X, Warburton ML, Xu S, Cai Y, Zhang D, Li J, Yan J* (2013) Natural variation in the sequence of PSY1 and frequency of favorable polymorphisms among tropical and temperate maize germplasm. Theor Appl Genet,126(4):923-35
61. Li H, Peng Z, Yang X, Wang W, Fu J, Wang J, Han Y, Chai Y, Guo T, Yang N, Liu J, Warburton ML, Cheng Y, Hao X, Zhang P, Zhao J, Liu Y, Wang G*, Li J*, Yan J*(2013) Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels. Nat Genet,45(1): 43-50
62. Pan Q, Ali F, Yang X, Li J, Yan J* (2012) Exploring the genetic characteristics of two recombinant inbred line populations via high-density SNP markers in maize. PLoS ONE, 7(12): e52777
63. Xu S, Zhang D, Cai Y, Zhou Y, Shah T, Ali F, Li Q, Li Z, Wang W, Li J, Yang X, Yan J* (2012) Dissecting tocopherols content in maize (Zea mays L.), using two segregating populations and high-density single nucleotide polymorphism markers. BMC Plant Biol, 12:201
64. Li Q, Yang X, Xu S, Cai Y, Zhang D, Han Y, Li L, Zhang Z, Gao S, Li J*, Yan J* (2012) Genome-wide association studies identified three independent polymorphisms associated with α-tocopherol content in maize kernels. PLoS ONE, 7 (5): e36807
65. Ali F, Yan J* (2012) Disease resistance in maize and the role of molecular breeding in defending against global threat. J Integr Plant Biol,54(3): 134-151
66. Yang X, Gao S, Xu S, Zhang Z, Prasanna BM, Li L, Li J, Yan J* (2011) Characterization of a global germplasm collection and its potential utilization for analysis of complex quantitative traits in maize. Mol Breeding, 28 (4): 511-526
67. Wen W, Araus JL, Shah T, Cairns J, Mahuku G, Bänziger M, Torres JL, Sánchez C, Yan J* (2011) Molecular characterization of a diverse maize inbred line collection and its potential utilization for stress tolerance improvement. Crop Sci,51 (6): 2569-2581
68. Li L, Li H, Li Q, Yang X, Zheng D, Warburton ML, Chai Y, Zhang P, Guo Y, Yan J*, Li J* (2011) An 11-bp Insertion in Zea mays fatb reduces the palmitic acid content of fatty acids in maize grain. PLoS ONE, 6 (9): e24699
69. Yang X, Xu Y, Shah T, Li H, Han Z, Li J, Yan J* (2011) Comparison of SSRs and SNPs in assessment of genetic relatedness in maize. Genetica,139 (8): 1045-1054
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77. Li Q, Yang X, Bai G, Warburton ML, Mahuku G, Gore M, Dai J, Li J*, Yan J* (2010) Cloning and characterization of a putative GS3 ortholog involved in maize kernel development. Theor Appl Genet, 120 (4): 753-763
78. Yan J#, Kandianis C#, Harjes C, Bai L, Kim E, Yang X, Skinner D, Fu Z, Mitchell S, Li Q, Fernandez M, Zaharieva M, Babu R, Fu Y, Palacios N, Li J, Dellapenna D, Brutnell T, Buckler ES, Warburton ML*, Rocheford T* (2010) Rare genetic variation at Zea mays crtRB1 increases β-carotene in maize grain. Nat Genet, 42 (4): 322-327
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80. Yan J, Shah T, Warburton ML*, Buckler ES, McMullen MD, Crouch J (2009) Genetic characterization and linkage disequilibrium estimation of a global maize collection using SNP markers. PLoS ONE, 4 (12): e8451
81. Li Q, Li L, Dai J, Li J, Yan J* (2009) Identification and characterization of CACTA transposable elements capturing gene fragments in maize. Chin Sci Bull, 54 (4), 642-651
82. YanJ, Tang H, HuangY, Zheng Y, Subhash C, Li J (2006) A genome scan for quantitative trait loci affecting grain yield and its components of maize both in single-and two-locus levels. Chin Sci Bull, 51 (12): 1452-1461
83. Yan J, Tang H, Huang Y, Zheng Y, Li J (2006) Quantitative trait loci mapping and epistatic analysis for grain yield and yield components using molecular markers with an elite maize hybrid. Euphytica, 149 (1-2): 121-131
84. Yan J, Tang H, Huang Y, Shi Y, Li J, Zheng Y (2003) Dynamic analysis of QTL for plant height at different developmental stages in maize (Zea mays L.). Sci Bull, 48 (23): 2601-2607
85. Alseekh S, Scossa F, Wen W, Luo J, Yan J, Beleggia R, Klee HJ, Huang S, Papa R*, Fernie AR* (2021) Domestication of Crop Metabolomes: Desired and Unintended Consequences. Trends Plant Sci, 26(6):650-661
86. Xu J, Yin Y, Jian L, Han B, Chen Z, Yan J, Liu X*(2021) Seeing is believing: a visualization toolbox to enhance selection efficiency in maize genome editing. Plant Biotechnol J, 19(5):872-874
87. Wu X#, Feng H#, Wu D, Yan S, Zhang P, Wang W, Zhang J, Ye J, Dai G, Fan Y, Li W, Song B, Geng Z, Yang W, Chen G, Qin F, Terzaghi W, Stitzer M, Li L, Xiong L, Yan J, Buckler E, Yang W*, Dai M* (2020) Using high-throughput multiple optical phenotyping to decipher the genetic architecture of maize drought tolerance. Genome Biology, 22 (1):185
88. Liu S#, Li C#, Wang H , Wang S, Yang S, Liu X, Yan J, Li B, Beatty M, Zastrow-Hayes G , Song S*, Qin F* (2020) Mapping regulatory variants controlling gene expression in drought response and tolerance in maize. Genome Biology, 21 (1):163
89. Luo J, Wei C, Liu H, Cheng S, Xiao Y, Wang X, Yan J, Liu J* (2020) Maize CUBIC: a comprehensive variation database for a maize synthetic population. Database, baaa044
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91. Li H*#, Wang M#, Li W#, He L, Zhou Y, Zhu J, Che R , Warburton ML, Yang X , Yan J(2020) Genetic Variants and Underlying Mechanisms Influencing Variance Heterogeneity in Maize. Plant J, 103 (3): 1089-1102
92. Deng M, Zhang X, Luo J, Liu H, Wen W, Luo H, Yan J, Xiao Y* (2020) Metabolomics analysis reveals differences in evolution between maize and rice. Plant J, 103(5): 1710-1722
93. Yang W*, Feng H, Zhang X, Zhang J, Doonan JH, Batchelor WD, Xiong L, Yan J (2020) Crop Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges, and Future Perspectives. Mol Plant, 13(2):187-214
94. Liu J*, Tian Z, Xiao Y, Liu H, Hao S, Zhang X, Wang C, Sun J, Yu H, Yan J (2020) Gene Regulatory Relationship Mining Using Improved Three-Phase Dependency Analysis Approach. IEEE/ACM Trans Comput Biol Bioinform, 17(1):339-346
95. Li N, Lin B, Wang H, Li X, Yang F, Ding X, Yan J, Chu Z* (2019) Natural variation in ZmFBL41 confers banded leaf and sheath blight resistance in maize. Nat Genet. 51(10):1540-1548
96. Xu J#, Chen G#, Hermanson PJ, Xu Q, Sun C, Chen W, Kan Q, Li M, Crisp PA, Yan J, Li L, Springer NM*, Li Q* (2019) Population-level analysis reveals the widespread occurrence and phenotypic consequence of DNA methylation variation not tagged by genetic variation in maize. Genome Biol, 20:243
97. Zhang L, Zhang X, Wang X, Xu J, Wang M, Li L, Bai G, Fang H, Hu S, Li J, Yan J, Li J, Yang X* (2019) SEED CAROTENOID DEFICIENT Functions in Isoprenoid Biosynthesis via the Plastid MEP Pathway. Plant Physiol, 179:1723-1738
98. Li H, Thrash A, Tang JD, He L, Yan J, Warburton ML* (2019) Leveraging GWAS data to identify metabolic pathways and networks involved in maize lipid biosynthesis. Plant J, 98(5):853-863
99. Li C#, Song W#, Luo Y#, Gao S#, Zhang R, Shi Z, Wang X, Wang R, Wang F, Wang J, Zhao Y, Su A, Wang S, Li X, Luo M, Wang S, Zhang Y, Ge J, Tan X, Yuan Y, Bi X, He H, Yan J, Wang Y*, Hu S*, Zhao J* (2019) The HuangZaoSi Maize Genome Provides Insights into Genomic Variation and Improvement History of Maize. Mol Plant, 12(3):402-409
100. Xie K*, Guo L, Bai Y, Liu W, Yan J, Bucher M* (2019) Microbiomics and Plant Health: An Interdisciplinary and International Workshop on the Plant Microbiome. Mol Plant, 12(1):1-3
101. Fang H#, Fu X#, Wang Y#, Xu J, Feng H, Li W, Xu J, Jittham O, Zhang X, Zhang L, Yang N, Xu G, Wang M, Li X, Li J, Yan J, Yang X* (2019) Genetic basis of kernel nutritional traits during maize domestication and improvement. Plant J,101(2):278-292
102. Chen Q#, Han Y#, Liu H#, Wang X, Sun J, Zhao B, Li W, Tian J, Liang Y, Yan J, Yang X*, Tian F* (2018) Genome-Wide Association Analyses Reveal the Importance of Alternative Splicing in Diversifying Gene Function and Regulating Phenotypic Variation in Maize. Plant Cell, 30(7):1404-1423, IF=9.378
103. Sun J#, Liu H#, Liu J, Cheng S, Peng Y, Zhang Q, Yan J, Liu HJ*, Chen LL* (2018) CRISPR-Local: a local single-guide RNA (sgRNA) design tool for nonreference plant genomes. Bioinformatics, 35(14): 2501-2503
104. Liu N, Liu J, Li W, Pan Q, Liu J, 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
105. de Abreu E Lima F#, Li K#, Wen W, Yan J, Nikoloski Z*, Willmitzer L, Brotman Y (2018) Unraveling lipid metabolism in maize with time-resolved multi-omics data. Plant J, 93(6):1102-1115
106. Chen L#, Zhang P#, Fan Y#, Lu Q, Li Q, Yan J, Muehlbauer GJ, Schnable PS, Dai M, Li L*(2018) Circular RNAs mediated by transposons are associated with transcriptomic and phenotypic variation in maize. New Phytol, 217(3):1292-1306
107. Ju C#*, Zhang W#, Liu Y, Gao Y, Wang X, Yan J, Yang X, Li J* (2018) Genetic analysis of seedling root traits reveals the association of root trait with other agronomic traits in maize. BMC Plant Biol , 18(1):171
108. Zhang R#, Xu G#, Li J, Yan J, Li H*, Yang X* (2018) Patterns of genomic variation in Chinese maize inbred lines and implications for genetic improvement. Theor Appl Genet, 131(6):1207-1221
109. Pan Q, Deng M, Yan J, Li L*(2017) Complexity of genetic mechanisms conferring nonuniformity of recombination in maize. SCI REP-UK, 7(1):1205
110. Jin M#, Zhang X#, Zhao M, Deng M, Du Y, Zhou Y, Wang S, Tohge T, Fernie AR, Willmitzer L, Brotman Y, Yan J, Wen W*(2017) Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis. BMC Plant Biol, 17(1):17
111. Wang X#, Wang H#, Liu S, Ferjani A, Li J, Yan J, Yang X*, Qin F* (2016) Genetic variation in ZmVPP1 contributes to drought tolerance in maize seedlings. Nat Genet,48(10):1233-41
112. 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,2016. pii: baw117
113. Wen W, Brotman Y, Willmitzer L, Yan J, Fernie AR*（2016）Broacening Our Portfolio in the Genetic Improvement of Maize Chemical Composition. Trends Genet,32(8):459-69
114. 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, 129:1449–1463
115. Liang X, Wang K, Huang C, Zhang X, Yan J, Yang W*(2016) A high-throughput maize kernel traits scorer based on line-scan imaging. Measurement, 90.453-460
116. Li Z, Chen J, Han L, Wen J, Chen G, Li H, Wang Y, Zhao R, Zhang X, Xia Z, Yan J, Wu J, Ding J*(2016) Association mapping resolving the major loci Scmv2 conferring resistance to sugarcane mosaic virus in maize. EUR J PlantPathol,145(2):385-391
117. Hu H, Schrag TA, Peis R, Unterseer S, Schipprack W, Chen S, Lai J, Yan J, Prasanna BM, Nair SK, Chaikam V, Rotarenco V, Shatskaya OA, Zavalishina A, Scholten S, Schon CC, Melchinger AE*(2016) The Genetic Basis of Haploid Induction in Maize Identified with a Novel Genome-Wide Association Method. Genetics,202(4):1267-76
118. Wen W*, Liu H, Zhou Y, Jin M, Yang N, Li D, Luo J, Xiao Y, Pan Q, Tohge T, Fernie A, Yan J (2016) Combining quantitative genetics approaches with regulatory network analysis to dissect the complex metabolism of the maize kernel. Plant Physiol,170(1):136-46
119. Chen G ,Wang X, Long S, Jaqueth J, Li B, Yan J, Ding J* (2016) Mapping of QTL conferring resistance to northern corn leaf blight using high-density SNPs in maize. Mol Breeding, 36:4
120. Wang T, Wang M, Hu S, Xiao Y, Tong H, Pan Q,Xue J, Yan J, Li J, Yang X*（2015）Genetic basis of maize kernel starch content revealed by high-density single nucleotide polymorphism markers in a recombinant inbred line population. BMC Plant Biol,15:288
121. Chen G, Wang X, Hao J, Yan J, Ding J* (2015) Genome-Wide Association Implicates Candidate Genes Conferring Resistance to Maize Rough Dwarf Disease in Maize. PLoS ONE,10(11):e0142001
122. Liu L, Du Y, Shen X, Li M, Sun W, Huang J, Liu Z, Tao Y, Zheng Y, Yan J, Zhang Z* (2015) KRN4 controls quantitative variation in maize kernel row number. PLoS Genet, 11(11): e1005670
123. Liu L, Du Y, Huo D, Wang M, Shen X, Yue B, Qiu F, Zheng Y, Yan J, Zhang Z* (2015) Genetic Architecture of Maize Kernel Row Number and Whole Genome Prediction. Theor Appl Genet ,128:2243–2254
124. Feng Y, Zheng Q, Song H, Wang Y, Wang H, Jiang L, Yan J, Zheng Y, Yue B* (2015) Multiple loci not only Rf3 involved in the restoration ability of pollen fertility, anther exsertion and pollen shedding to S type cytoplasmic male sterile in maize. Theor Appl Genet，28:2341-2350
125. Mao H, Wang H, Liu S, Li Z, Yang X, Yan J, Li J, Tran LS, Qin F*(2015) A transposable element in a NAC gene is associated with drought tolerance in maize seedlings. Nat Commun, 6:8326
126. Zuo W, Chao Q, Zhang N, Ye J, Tan G, Li B, Xing Y, Zhang B, Liu H, Fengler KA, Zhao J, Zhao X, Chen Y, Lai J, Yan J, Xu M* (2015) A maize wall-associated kinase confers quantitative resistance to head smut. Nat Genet, 47:151-157
127. Li K, Yan J, Li J, Yang X (2014) Genetic architecture of rind penetrometer resistance in two maize recombinant inbred line populations. BMC Plant Biology,14:152
128. Osman K, Tang B, Wang Y, Chen J, Yu F, Li L, Han X, Zhang Z, Yan J, Zheng Y, Yue B, Qiu F (2013) Dynamic QTL Analysis and Candidate Gene Mapping for Waterlogging Tolerance at Maize Seedling Stage. PLoS ONE, 8 (11): e79305
129. Liu S, Wang X, Wang H, Xin H, Yang X, Yan J, Li J, Tran LSP, Shinozaki K, Yamaguchi-Shinozaki K, Qin F* (2013) Genome-wide analysis of ZmDREB genes and their association with natural variation in drought tolerance at seedling stage of Zea mays L. PLoS Genet, 9(9): e1003790
130. Feng F, Deng F, Zhou P, Yan J, Wang Q, Yang R, Li X (2013) QTL mapping for the tocopherols at milk stage of kernel development in sweet corn. Euphytica,193 (3): 409-417
131. Zhang X, Tang B, Yu F, Li L, Wang M, Xue Y, Zhang Z, Yan J, Yue B, Zheng Y, Qiu F* (2013) Identification of major QTL for waterlogging tolerance using genome-wide association and linkage mapping of maize seedlings. Plant Mol Biol Rep,31(3): 594-606
132. Babu R, Rojas NP, Gao S, Yan J, Pixley K (2013) Validation of the effects of molecular marker polymorphisms in LcyE and CrtRB1 on provitamin A concentrations for 26 tropical maize populations. Theor Appl Genet, 126 (2): 389-399
133. Guo T, Li H, Yan J, Tang J, Li J, Zhang Z, Zhang L, Wang J* (2013) Performance prediction of F-1 hybrids between recombinant inbred lines derived from two elite maize inbred lines. Theor Appl Genet,126 (1): 189-201
134. Zhang P, Allen W, Nagasawa N, Ching A, Heppard E, Li H, Hao X, Li X, Yang X, Yan J, Nagato Y, Sakai H, Shen B, Li J (2012) A transposable element insertion within ZmGE2 gene is associated with increase in embryo to endosperm ratio in maize. Theor Appl Genet,125 (7): 1463-1471
135. Wang M, Yan J, Zhao J, Song W, Zhang X, Xiao Y, Zheng Y (2012) Genome-wide association study (GWAS) of resistance to head smut in maize. Plant Sci,196:125-31
136. Yang X, Ma H, Zhang P, Yan J, Guo Y, Song T, Li J (2012) Characterization of QTL for oil content in maize kernel. Theor Appl Genet, 125 (6): 1169-1179
137. Ullah H, Khalil I, Durrishahwar I, Khalil I, Fayaz M, Yan J, Ali F (2012) Selecting high yielding and stable mungbean [Vigna radiata (L.) Wilczek] genotypes using GGE biplot techniques. Can J Plant Sci,92(5): 951-960
138. Chai Y, Hao X, Yang X, Allen WB, Li J, Yan J, Shen B, Li J (2012) Validation of DGAT1-2 polymorphisms associated with oil content and development of functional markers for molecular breeding of high-oil maize. Mol Breeding,29 (4): 939-949
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141. Wen W, Franco J, Chavez-Tovar VH, Yan J, Taba S (2012) Genetic characterization of a core set of a tropical maize race Tuxpeño for further use in maize improvement. PLoS ONE, 7 (3): e32626
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143. Zhou L, Zhang J, Yan J, Song R (2011) Two transposable element insertions are causative mutations for the major domestication gene teosinte branched 1 in modern maize. Cell Res, 21 (8): 1267-1270
144. Liu Y, Subhash C, Yan J, Song C, Zhao J, Li J (2011) Maize leaf temperature responses to drought: Thermal imaging and quantitative trait loci (QTL) mapping. Environ Exp Bot,71(2): 158-165
145. Setter TL, Yan J, Warburton ML, Ribaut JM, Xu Y, Sawkins M, Buckler ES, Zhang Z, Gore MA (2011) Genetic association mapping identifies single nucleotide polymorphisms in genes that affect abscisic acid levels in maize floral tissues during drought. J Exp Bot,62 (2): 701-716
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147. Du H, Wu H, Yan J, Li J (2010) Effects of basal media, salt concentrations, antioxidant supplements and co-effects on the Agrobacterium-mediated transformation efficiency in maize. AJB, 9 (8): 1135-1143
148. Yang X, Guo Y, Yan J, Zhang J, Song t, Rocheford T, Li J (2010) Major and minor QTL and epistasis contribute to fatty acid compositions and oil concentration in high-oil maize. TheorAppl Genet, 120 (3): 665-678
149. Ortiz R, Taba S, Tovar VHC, Mezzalama M, Xu Y, Yan J, Crouch JH (2010) Conserving and Enhancing Maize Genetic Resources as Global Public Goods-A Perspective from CIMMYT. Crop Sci,50 (1): 13-28
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152. Liu Z, Yang X, Fu Y, Zhang Y, Yan J, Song T, Rocheford T, Li J (2009) Proteomic analysis of early germs with high-oil and normal inbred lines in maize. MolBiol Rep, 36 (4): 813-821
153. Chander S, Guo Y, Yang X, Yan J, Zhang Y, Song T, Li J (2008) Genetic dissection of tocopherol content and composition in maize grain using quantitative trait loci analysis and the candidate gene approach. Mol Breeding, 22 (3): 353-365
154. Ding J, Wang X, Chander S, Yan J, Li J (2008) QTL mapping of resistance to Fusarium ear rot using a RIL population in maize. Mol Breeding, 22 (3): 395-403
155. Chander S, Meng Y, Zhang Y, Yan J, Li J (2008) Comparison of nutritional traits variability in selected eighty-seven inbreds from Chinese maize (Zea mays L.) germplasm. J Agr Food Chem,56 (15): 6506-6511
156. Zhang J, Lu X, Song X, Yan J, Song T, Dai J, Rocheford T, Li J(2008) Mapping quantitative trait loci for oil, starch, and protein concentrations in grain with high-oil maize by SSR markers. Euphytica,162 (3): 335-344
157. Harjes C, Rocheford TR, Bai L, Brutnell TP, Kandianis CB, Sowinski SG, Stapleton AE, Vallabhaneni R, Williams M, Wurtzel ET, Yan J, Buckler ES (2008) Natural genetic variation in lycopene epsilon cyclase tapped for maize biofortification. Science, 319 (5861): 330
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161. Tang J, Ma X, Teng W, Yan J, Wu W, Dai J, Li J (2007) Detection of quantitative trait loci and heterotic loci for plant height using an immortalized F-2 population in maize. Chin Sci Bull, 52 (4): 477-483
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