TraitMap Lab 連結田間性狀、基因體資料與分子育種，利用 GWAS、RNA-seq、BSA-seq 與高通量表型分析，解析作物抗病與逆境反應，並開發可應用於育種的分子標記。
TraitMap Lab connects field traits, genomic data, and molecular breeding. We integrate GWAS, RNA-seq, BSA-seq, and high-throughput phenotyping to study crop disease resistance and stress responses, then translate discoveries into breeding-ready molecular markers.
News
兩位同學的研究提案獲得國科會大專學生研究計畫肯定，主題延伸實驗室在抗病、逆境反應與分子育種上的核心方向。
Their proposals were recognized by the NSTC Undergraduate Student Research Project program and extend the lab's core work in disease resistance, stress responses, and molecular breeding.
Lab Signature
我們不只做單一技術，而是把「性狀觀察、基因體分析、候選基因驗證、育種應用」串成完整研究路徑。
Our strength is not a single technique. We connect trait observation, genomic analysis, candidate-gene validation, and breeding application into one research path.
以抗病、逆境、產量與重要農藝性狀為起點，讓研究題目貼近作物改良需求。
We begin with disease resistance, stress response, yield, and agronomic traits that matter for crop improvement.
整合表型、基因型、轉錄體與族群資料，解析性狀背後的遺傳調控。
We integrate phenotypes, genotypes, transcriptomes, and population data to understand trait regulation.
將研究成果轉化為分子標記與篩選策略，支援抗病品種與精準育種。
We translate discoveries into molecular markers and screening strategies for precision breeding.
Research
實驗室訓練學生同時理解作物、分子實驗與資料分析，從研究設計到結果詮釋都能看見完整脈絡。
Students learn to connect crop biology, molecular experiments, and data analysis, seeing the full logic from study design to biological interpretation.
Step 1
建立作物材料、病害或逆境處理，以及可量化的性狀資料。
Build plant materials, disease or stress assays, and measurable trait data.
Step 2
利用 GWAS、spGWAS、BSA-seq 或族群資料找出關聯區域。
Use GWAS, spGWAS, BSA-seq, or population datasets to identify associated loci.
Step 3
透過 RNA-seq 與表現分析縮小候選基因並推論調控機制。
Use RNA-seq and expression analysis to refine candidate genes and mechanisms.
Step 4
開發分子標記，協助抗病、耐逆境與重要性狀的育種選拔。
Develop markers to support selection for resistance, stress tolerance, and key traits.
Latest Publications
近年成果聚焦作物基因體、抗病與逆境反應、分子標記開發與多層級資料整合，展現 TraitMap Lab 將基礎研究轉化為育種線索的能力。
Recent publications highlight the lab's work in crop genomics, disease and stress responses, molecular marker development, and multi-layer data integration for precision breeding.
Crop Systems
解析抗病材料的早期反應、候選基因與跨層級驗證。
Studying early resistance responses, candidate genes, and cross-level validation.
面對多倍體作物的基因型資料、表型量測與 GWAS 挑戰。
Working with genotype data, phenotyping, and GWAS challenges in polyploid crops.
尋找可支援品種改良的抗病相關基因體線索。
Identifying genomic leads that can support resistance breeding.
Join Us
我們歡迎對作物科學、分子育種、基因體學或生物資訊有興趣的學生。你不需要一開始就會所有技術，但需要願意在田間、實驗室與資料之間來回思考。
We welcome students interested in crop science, molecular breeding, genomics, or bioinformatics. You do not need to know every technique at the start, but curiosity across field work, wet-lab work, and data analysis matters here.
作物表型調查、DNA/RNA 實驗、定序資料處理、GWAS、轉錄體分析與分子標記設計。
Crop phenotyping, DNA/RNA experiments, sequencing data processing, GWAS, transcriptome analysis, and marker design.
大學部專題生、碩士生、博士生，以及對跨領域作物研究有興趣的合作夥伴。
Undergraduate researchers, M.S. students, Ph.D. students, and collaborators interested in cross-disciplinary crop research.
PI & Background
鄭舒允副教授任職於國立中興大學農藝學系，研究專長為基因體學與分子育種。取得博士學位後，赴康乃爾大學 Edward Buckler 實驗室從事玉米 miRNA eQTL GWAS 研究，後於中央研究院植物暨微生物學研究所應用 RNA-seq 與 BSA-seq 探討玉米減數分裂中的基因調控與甲基化機制。
Dr. Shu-Yun Chen is an Associate Professor in the Department of Agronomy at National Chung Hsing University. After completing his Ph.D., he conducted maize miRNA eQTL GWAS research in Edward Buckler's lab at Cornell University, followed by postdoctoral research at Academia Sinica applying RNA-seq and BSA-seq to study gene regulation and methylation during maize meiosis.
他也曾於經緯航太科技累積 UAV 智慧農業實務經驗，並於成功大學從事蝴蝶蘭抗鐮孢菌基因鑑定研究。現在於中興大學推動絲瓜、甘藷、苦瓜等作物之抗病與重要性狀研究。
He also gained UAV-based smart agriculture experience at GeoSat Aerospace & Technology and studied Fusarium resistance genes in Phalaenopsis orchids at NCKU. At NCHU, his lab advances disease-resistance and trait research in luffa, sweet potato, bitter melon, and related crops.
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