Integration and application of multiomics breeding data base for white shrimp

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簡歷

基本資料

Project title

Code/計畫編號

PW11408-0417

Translated Name/計畫中文名

白蝦跨體學育種資料庫整合與應用

Project Coordinator/計畫主持人

Fan-Hua Nan

Funding Organization/主管機關

MOA ( Ministry of Agriculture)

Website

https://www.grb.gov.tw/search/planDetail?id=18180871

Year

2025

Start date/計畫起

01-01-2025

Expected Completion/計畫迄

31-12-2025

Bugetid/研究經費

13,072千元

ResearchField/研究領域

漁業

本計畫旨在通過搜集來自不同來源的種蝦，建立一個涵蓋白蝦免疫基因體學、表觀遺傳體學、代謝體學與表型體學的綜合數據庫，為數位育種研究奠定基礎。第一年將專注於建立數位育種資料庫的框架，開始搜集來自不同縣市、養殖場與品系的白蝦樣本，確保樣本的多樣性和代表性。這些樣本將涵蓋不同生長階段、健康狀況和環境條件，從而確保研究數據的廣泛適用性。接下來，將進行代謝體學、表觀遺傳體學、基因體學和表型體學的初步分析，檢測和定量關鍵代謝物、基因與表型數據，最終構建一個綜合的多體學資料庫。這些數據將有助於識別與白蝦生長、抗病力等重要生理特徵相關的育種指標。為了確保數據的準確性與一致性，還將設計並實施標準化的數據收集與處理流程，以保障未來數據更新和擴展時的穩定性。此外，計畫將應用跨體學技術提升育種精準度，通過系統性數據生產與管理，優化育種資料的積累與整合。開發白蝦表型調查技術，並規劃相關技術的對外服務模式。還將構建應用大量數據支援育種決策的模式，驗證其在選擇育種個體中的效率，並促進育種經驗的傳承。同時，提升我國育種相關的數據管理和表型分析能力，並培養專業人才。這些努力將促進白蝦產業的可持續發展，並強化我國在育種領域的國際競爭力。The aim of this project is to establish a comprehensive database encompassing the metabolomics, epigenomics, immunogenomics, and phenomics of white shrimp by collecting broodstock from various sources. This database will serve as a foundation for digital breeding research.In the first year, we will focus on establishing the framework for the digital breeding database. Efforts will begin to collect white shrimp samples from various counties, farms, and strains, ensuring diversity and representativeness. These samples will cover different growth stages, health conditions, and environmental factors, ensuring the broad applicability of the research data.Next, preliminary analyses will be conducted on metabolomics, epigenomics, genomics, and phenomics, focusing on detecting and quantifying key metabolites, genes, and phenotypic data. The ultimate goal is to build a comprehensive multi-omics database. These data will aid in identifying breeding markers related to critical physiological traits of white shrimp, such as growth and disease resistance.To ensure data accuracy and consistency, standardized data collection and processing protocols will be designed and implemented, ensuring stability during future data updates and expansions. Additionally, the project will apply cross-omics techniques to enhance breeding precision, optimizing the accumulation and integration of breeding data through systematic data production and management. A white shrimp phenotyping technology will also be developed, with plans to offer related services to external partners.A model that utilizes large-scale data to support breeding decisions will also be developed, with its efficiency in selecting breeding individuals validated. This effort will help transfer breeding expertise and improve the country's capabilities in data management and phenotypic analysis related to breeding. Additionally, the project will focus on training professionals in the field. These initiatives will promote the sustainable development of the white shrimp industry and enhance the nation's international competitiveness in breeding.

Keyword(s)

跨體學；育種；白蝦:Multiomics；breeding；white shrimp

DSpace CRIS

Integration and application of multiomics breeding data base for white shrimp

基本資料

Description