Using Interactome Big Data to Crack Genetic Mysteries and Enhance Future Crop Breeding  

作　　者：Leiming Wu Linqian Han Qing Li Guoying Wang Hongwei Zhang Lin Li 

机构地区：[1]National Key Laboratory of Crop Genetic Improvement,Huazhong Agricultural University,Wuhan 430070,China [2]lnstitute of Crop Science,Chinese Academy of Agricultural Sciences,Beijing 100081,China

出　　处：《Molecular Plant》2021年第1期77-94,共18页分子植物（英文版）

基　　金：This research was supported by the National Natural Science Foundation of China(92035302,31922068);the Fundamental Research Funds for the Central Universities(ZK201908);the Fundamental Research Funds for the Central Universities(2662020ZKPY017);the Huazhong Agricultural University Scientific&Technological Self-innovation Foundation(2015R016);the China Postdoctoral Science Foundation(2019M662666).

摘　　要：The functional genes underlying phenotypic variation and their interactions represent“genetic mysteries”.Understanding and utilizing these genetic mysteries are key solutions for mitigating the current threats to agriculture posed by population growth and individual food preferences.Due to advances in highthroughput multi-omics technologies,we are stepping into an Interactome Big Data era that is certain to revolutionize genetic research.In this article,we provide a brief overview of current strategies to explore genetic mysteries.We then introduce the methods for constructing and analyzing the Interactome Big Data and summarize currently available interactome resources.Next,we discuss how Interactome Big Data can be used as a versatile tool to dissect genetic mysteries.We propose an integrated strategy that could revolutionize genetic research by combining Interactome Big Data with machine learning,which involves mining information hidden in Big Data to identify the genetic models or networks that control various traits,and also provide a detailed procedure for systematic dissection of genetic mysteries,Finally,we discuss three promising future breeding strategies utilizing the Interactome Big Data to improve crop yields and quality.

关 键 词：genetic mystery interactome big data machine learning crop breeding 

分 类 号：Q943[生物学—植物学] S330[农业科学—作物遗传育种]