张亚雯：副教授
邮箱：yawen@ujs.edu.cn
【教育经历】
2015.09-2021.06 华中农业大学，作物遗传育种，农学博士
2011.09-2015.06 福建农林大学，生物信息学，理学学士
【曾获奖励】
2024年湖北省科学技术奖自然科学类二等奖（第三完成人）
【科研与学术工作经历】
2023.06～至今 江苏大学生物科学与技术学院，教师
2021.07～2023.05 华中农业大学，植物保护，博士后
【研究方向】
主要从事统计遗传学、多组学数据分析与人工智能交叉研究，聚焦动植物复杂性状解析、关键基因挖掘和智能育种，开展遗传模型、算法与分析软件研发，为多组学数据解析和育种应用提供方法支撑。
【主持科研项目】
1. 中国博士后科学基金面上项目，2023M741439，2024.10 ~ ，8万元，主持，在研
2. 国家自然科学基金青年项目，32200500，2023.01 ~ 2025.12，30万元，主持，结题
3. 湖北省自然科学基金青年项目，2022CFB780，2022.06 ~ 2024.06，5万元，主持，结题
4. 2022年度湖北省博士后创新研究岗位资助，2022.10～2024.10，6万元，主持，结题
【发表论文】
1. Zhang Ya-Wen#, Tamba Cox Lwaka#, Wen Yang-Jun, Li Pei, Ren Wen-Long, Ni Yuan-Li, Gao Jun, Zhang Yuan-Ming*. mrMLM v4.0.2: An R platform for multi-locus genome-wide association studies. Genomics Proteomics Bioinformatics, 2020, 18:481-487. (IF=7.69，一作，中科院1区top期刊)
2. Zhang Ya-Wen, Wen Yang-Jun, Dunwell J M, Zhang Yuan-Ming*. QTL.gCIMapping.GUI v2.0: An R software for detecting small-effect and linked QTLs for quantitative traits in bi-parental segregation populations. Comput Struct Biotechnol J, 2020, 18:59-65. (IF= 7.27，一作，JCR一区)
3. Zhang Ya-Wen, Han Xue-Lian, Li Mei, Chen Ying, Zhang Yuan-Ming*. IIIVmrMLM.QEI: An effective tool for indirect detection of QTN-by-environment interactions in genome-wide association studies. Computational and structural biotechnology journal, 2024, 23: 4357-4368.(IF= 7.27，一作，JCR一区)
4. Zhao Qiong, Shi Xiao-Shi, Wang Tian, Chen Ying, Yang Rui, Mi Jiaming*, Zhang Ya-Wen*, Zhang Yuan-Ming. Identification of QTNs, QTN-by-environment interactions, and their candidate genes for grain size traits in main crop and ratoon rice. Front Plant Sci, 2023, 14: 1119218. (IF=6.63，第一通讯作者，中科院1区)
5. Li Mei#, Zhang Ya-Wen#, Zhang Ze-Chang, Xiang Yu, Liu Ming-Hui, Zhou Ya-Hui, Zuo Jian-Fang, Zhang Han-Qing, Chen-Ying, Zhang Yuan-Ming*. A compressed variance component mixed model for detecting QTNs, and QTN-by-environment and QTN-by-QTN interactions in genome-wide association studies. Molecular Plant, 2022,15:630-650. (IF = 21.949，共一，中科院1区top期刊；1%高被引论文；1‰热点论文)
6. Liu Jin-Yang#, Zhang Ya-Wen#, Han Xu, Zuo Jian-Fang, Zhang Zhi-Bin, Shang Hai-Hong, Song Qi-Jian, Zhang Yuan-Ming*. An evolutionary population structure model reveals pleiotropic effects of GmPDAT for traits related to seed size and oil content in soybean. J Exp Bot, 2020, 71:6988-7002. (IF=6.99，共一，中科院1区top期刊)
7. Li Jie-Qin#, Tang Wei-Jie#, Zhang Ya-Wen#, Chen Kai-Ning, Wang Chen-Chen, Liu Yan-Long, Zhan Qiu-Wen, Wang Chun-Ming, Wang Shi-Bo, Xie Shang-Qian*, Wang Li-Hua*. Genome-wide association studies for five forage quality-related traits in sorghum (Sorghum bicolor L.). Front Plant Sci, 2018, 9:1146. (IF=6.63，共一，中科院1区)
8. Li Mei, Zhang Ya-Wen, Xiang Yu, Liu Ming-Hui, Zhang Yuan-Ming. IIIVmrMLM: the R and C++ tools associated with 3VmrMLM, a comprehensive GWAS method for dissecting quantitative traits. Mol Plant, 2022, 15: 1251–1253. (IF=21.949，二作，中科院1区top期刊)
9. Wen Yang-Jun, Zhang Ya-Wen, Zhang Jin, Feng Jian-Ying, Dunwell Jim M, Zhang Yuan-Ming*. An efficient multi-locus mixed model framework for the detection of small and linked QTLs in F2. Brief Bioinform, 2019, 20:1913-1924. (IF=13.994，二作，中科院1区top期刊)
10. Han Xu, Zhang Ya-Wen, Liu Jin-Yang, Zuo Jian-Fang, Zhang Ze-Chang, Guo Liang*, Zhang Yuan-Ming*. 4D genetic networks reveal the genetic basis of metabolites and seed oil-related traits in 398 soybean RILs. Biotechnol Biofuels Bioprod, 2022, 15:92. (IF=7.67，二作，中科院1区)
11. Wen Yang-Jun, Zhang Ya-Wen, Zhang Jin, Feng Jian-ying, Zhang Yuan-Ming*. The improved FASTmrEMMA and GCIM algorithms for genome-wide association and linkage studies in large mapping populations. The Crop Journal, 2020, 8:723-732. (IF=4.40，二作，中科院1区top期刊)
【计算机软件著作权】
1. 植物数量性状主基因+多基因混合遗传分析软件[简称SEA] v1.0：章元明（导师）、张亚雯、杜应雯、任文龙，国家计算机软件著作权登记号2017SR579357；v2.0: 章元明（导师）、王靖天、张亚雯，国家计算机软件著作权登记号2021SR0560390
2. 多位点随机SNP效应混合模型全基因组关联分析软件[简称：mrMLM.GUI] v4.0：章元明（导师）、张亚雯、李沛，国家计算机软件著作权登记号2019SR0779728
3. QTL全基因组复合区间作图软件[简称：QTL.gCIMapping.GUI] v1.0：章元明（导师）、张亚雯、温阳俊、王诗博，国家计算机软件著作权登记号2018SR682083
更新于2026年9月
