Cotton2035:From genomics research to optimized breeding  

作　　者：Wang Kun He Shoupu Zhu Yuxian 

机构地区：[1]College of Life Sciences,Wuhan University,Wuhan 430072,China [2]State Key Laboratory of Cotton Bio-breeding and Integrated Utilization,Institute of Cotton Research of the Chinese Academy of Agricultural Sciences,Anyang 455000,China [3]Institute for Advanced Studies,Wuhan University,Wuhan 430072,China [4]Hubei Hongshan Laboratory,Wuhan 430072,China [5]TaiKang Center for Life and Medical Sciences,Wuhan University,Wuhan 430072,China [6]National Nanfan Research Institute(Sanya),Chinese Academy of Agricultural Sciences,Sanya,Hainan 572000,China

出　　处：《Molecular Plant》2025年第2期298-312,共15页分子植物(英文版)

基　　金：supported by the National Key Research and Development Program of China(2022YFF1001400 and 2021YFF1000101);the National Natural Science Foundation of China(32470433 and 32122062);the Foundation of Hubei Hongshan Laboratory(2021hszd014),and the Hubei Provincial Research Center of Basic Discipline of Biology.

摘　　要：Cotton is the world’s most important natural fiber crop and serves as an ideal model for studying plant genome evolution,cell differentiation,elongation,and cell wall biosynthesis.The first draft genome assembly for Gossypium raimondii,completed in 2012,marked the beginning of global efforts in studying cotton genomics.Over the past decade,the cotton research community has continued to assemble and refine the genomes for both wild and cultivated Gossypium species.With the accumulation of de novo genome assemblies and resequencing data across virous cotton populations,significant progress has been made in uncovering the genetic basis of key agronomic traits.Achieving the goal of cotton genomics-to-breeding(G2B)will require a deeper understanding of the spatiotemporal regulatory mechanisms involved in genome information storage and expression.We advocate for a cotton ENCODE project to systematically decode the functional elements and regulatory networks within the cotton genome.Technological advances,particularly on single-cell sequencing and high-resolution spatiotemporal omics,will be essential for elucidating these regulatory mechanisms.By integrating multi-omics data,genome editing tools,and artificial intelligence,these efforts will empower the genomics-driven strategies needed for future cotton G2B breeding.

关 键 词：cotton genomics cotton ENCODE project cotton breeding genomics-to-breeding(G2B) 

分 类 号：F41[经济管理—产业经济]