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易国强课题组

易国强课题组

  Yi Guoqiang Lab

  课题组长

  易国强,研究员,博士生导师,深圳市海外高层次人才。2010年和2015年于中国农业大学分别获得农学学士和博士学位。2015年至2019年在荷兰拉德堡德大学从事博士后研究。研究方向主要为利用多组学技术挖掘影响重要表型的遗传位点和表观调控元件。相关文章以第一作者身份发表在Cell Reports, Blood Cancer Journal, Epigenetics & Chromatin和BMC Genomics等高水平期刊上。

  

  工作经历

  2019.5-至今             中国农业科学院农业基因组研究所        研究员

  2015.9-2019.3         荷兰拉德堡德大学                                博士后  

 

  教育经历

  2010.9-2015.6           中国农业大学             博士研究生               

  2006.9-2010.6           中国农业大学             本科                                  

 

  研究方向

  团队一直致力于利用多组学技术解析影响猪重要经济性状和抗病力的分子机制,为品种改良提供理论和技术支持。研究方向包括:1)精细定位与猪产肉性能和抗病能力相关的遗传位点和调控元件,解析遗传变异与复杂性状的关联机制;2)结合群体遗传学手段研究不同猪品种驯化进程,阐释猪遗传及表型多样性形成和进化的演化机制;3)阐释影响猪骨骼肌等重要组织器官发育的表观调控机制。

 

 

  研究进展

  1)正在构建不同猪品种遗传变异精细图谱和泛基因组,解析猪遗传及表型多样性形成和进化的演化机制;

  2)正在组装德保矮马基因组序列,整合不同马品种重测序数据研究矮小性状的形成机制;

  3)正在利用scRNA-seq和 ChIP-seq技术解析猪支原体肺炎的发生机制及有效靶标位点;

  4)利用全基因组关联分析鉴定与猪产肉性能和繁殖性能相关的遗传标记及其分子机制。

 

 

  PI

  Guoqiang Yi, Principle Investigator, Doctoral Advisor[z2] . He has received the Overseas High-level Talents in Shenzhen in 2019. Guoqiang obtained his Bachelor and Ph.D. from China Agricultural University in 2010 and 2015, where he studied animal genetics and breeding. In 2015, he joined the Department of Molecular biology at Radboud University, to start his postdoc training. His group focuses on mining genetic loci and epigenetic regulatory elements behind important phenotypes in livestock. In the past five years, he has published more than 20 papers in Cell Reports, Blood Cancer Journal, Epigenetics & Chromatin, BMC Genomics and other journals.

 

  Working Experience

  2019.5-Present            Agricultural Genomics Institute at Shenzhen-CAAS         Research Professor            

  2015.9-2019.3             Radboud University Nijmegen                                          Postdoctoral Fellow 

  

  Education Experience

  2010.9-2015.6              China Agricultural University                     Ph.D.                                 

  2006.9-2010.6              China Agricultural University                     Bachelor   

                       

  Research Interests

  The major focus of our group is to decipher the molecular mechanisms behind complex traits and disease in pig by integrating multi-omics approaches, which could lay a foundation for breed improvement both in theory and technique. 1) Detect potential genetic loci and regulatory elements under pork production and disease, and reveal the relationships between genetic variations and complex traits; 2) Elucidate the evolutionary history of genetic and phenotypic diversity in pig domestication by population genetics approaches; 3) Study the molecular mechanisms of developmental trajectory for porcine skeletal muscle and other key organs.

 

  Major Achievements

  1) Establishing high-resolution maps of genetic variations and pan-genome in pig, to decipher the evolutionary history of pig genetic and phenotypic diversity;

  2) Assembling the reference genome of Debao pony, and revealing the dwarfish mechanisms by population genetics analysis;

  3) Elucidating potential pathogenesis and targets of mycoplasmal pneumonia of swine using scRNA-seq and ChIP-seq;

  4) Genome-wide identification of genetic loci associated with pork production and reproduction traits.

  

  Selected Publication

  1. Yi G, Wierenga ATJ, Petraglia F, Narang P, Janssen-Megens EM, Mandoli A, Merkel A,Berentsen K, Kim B, Matarese F, Singh AA, Habibi E, Prange KHM, Mulder AB, Jansen JH,Clarke L, Heath S van der Reijden BA, Flicek P, Yaspo ML, Gut , Bock C, Schuringa JJ, AltucciL, Vellenga E, Stunnenberg HG, Martens JHA. Chromatin-Based Classification of GeneticallyHeterogeneous AMLs into Two Distinct Subtypes with Diverse Stemness Phenotypes. Cell Reports, 2019. 

  2. Yi G, Mandoli A, Jussen L, Tijchon E, van Bergen MGJM, Cordonnier G, Hansen M, Kim B,Nguyen LN, Jansen PWTC, Vermeulen M, van der Reijden B, van den Akker E, Bond J, MartensJHA. CBFβ-MYH11 interferes with megakaryocyte differentiation via modulating a geneprogram that includes GATA2 and KLF1. Blood Cancer Journal, 2019.

  3. Qu J#, Yi G#, Zhou H. p63 cooperates with CTCF to modulate chromatin architecture in skin keratinocytes. Epigenetics & Chromatin, 2019.

  4. Yi G, Shen M, Yuan J, Sun C, Duan Z, Qu L, Dou T, Ma M, Lu J, Guo J, Chen S, Qu L, Wang  K, Yang N. Genome-wide association study dissects genetic architecture underlying longitudinalegg weights in chickens. BMC Genomics, 2015.

  5. Yi G, Qu L, Liu J, Yan Y, Xu G, Yang N. Genome-wide patterns of copy number variation in thediversified chicken genomes using next-generation sequencing. BMC Genomics, 2014.

  6. Yi G, Yuan J, Bi H, Yan W, Yang N, Qu L. In-Depth Duodenal Transcriptome Survey in Chickens with Divergent Feed Efficiency Using RNA-Seq. PLoS One, 2015.

  7. Yi G, Qu L, Chen S, Xu G, Yang N. Genome-wide copy number profiling using high-density  SNP array in chickens. Animal Genetics, 2015.

  8. Yi G, Liu W, Li J, Zheng J, Qu L, Xu G, Yang N.Genetic analysis for dynamic changes of egg weight in 2 chicken lines. Poultry Science, 2014.

 

易国强课题组更新于2020年7月

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