Meena Vijay Kamal, Thribhuvan R, Dinkar Vishal, Bhatt Ashish, Pandey Saurabh, Ahmad Dilshad, Kumar Amarjeet, Singh Ashutosh
Agriculture Research Substation, Agriculture University (Jodhpur), Sumerpur, Pali, Rajasthan, 306902, India.
Division of Crop Improvement, ICAR-CRIJAF, Barrackpore, Kolkata, West Bengal, 700121, India.
Planta. 2025 Feb 1;261(3):51. doi: 10.1007/s00425-025-04622-3.
Haplotype-based breeding unleashed the genetic variations of unexplored germplasms and integration with recent genomics tools accelerated the genetic gain and address the present challenges of food security by climate change. Climate change is linked to unforeseen abiotic stresses and changes in the patterns of pests and diseases. Hence, it is necessary to use novel methods to detect genetic variations to mitigate the adverse effects on crops by climate change. Genomic-assisted breeding methods are strategies that improve the efficiency of breeding cereal crops in a dynamic environment. These methods detect differences in the structure of single nucleotide polymorphisms (SNPs) throughout the population. The decrease in sequencing costs has enabled the thorough sequencing of crop genomes, resulting in the discovery of millions of SNPs. By using statistical tests, it is possible to integrate these SNPs into a limited number of haplotype blocks. This allows for a more comprehensive analysis of how variation is distributed and segregated within a population. Therefore, the use of haplotype-based breeding shows great potential as a tool for creating tailored crop varieties. The process entails the identification of superior haplotypes and their use in breeding operations. The haplotype-based breeding (HBB) technique utilizes genome sequence data to identify specific allelic variations that accelerate the breeding cycle and overcome linkage drag difficulties. This study aims to present the idea of HBB, examine the connection between haplotype breeding and conventional breeding, and analyze the benefits and current advancements of HBB, with a specific focus on cereal crops.
基于单倍型的育种释放了未开发种质的遗传变异,与最新的基因组学工具相结合加速了遗传增益,并应对了气候变化对粮食安全带来的当前挑战。气候变化与不可预见的非生物胁迫以及病虫害模式的变化相关联。因此,有必要采用新方法来检测遗传变异,以减轻气候变化对作物的不利影响。基因组辅助育种方法是在动态环境中提高谷类作物育种效率的策略。这些方法可检测整个群体中单核苷酸多态性(SNP)结构的差异。测序成本的降低使得能够对作物基因组进行全面测序,从而发现了数百万个SNP。通过使用统计测试,有可能将这些SNP整合到数量有限的单倍型模块中。这使得能够更全面地分析变异在群体中的分布和分离情况。因此,基于单倍型的育种作为一种培育定制化作物品种的工具显示出巨大潜力。该过程需要识别优良单倍型并将其用于育种操作。基于单倍型的育种(HBB)技术利用基因组序列数据来识别特定的等位基因变异,从而加速育种周期并克服连锁累赘难题。本研究旨在介绍HBB的理念,探讨单倍型育种与传统育种之间的联系,并分析HBB的优势和当前进展,特别关注谷类作物。