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用于培育抗气候变化豆类作物的基因编辑和基因组学技术的革命与进展:发展与前景

Revolution and advances in gene editing and genomics technology for developing climate-resilient legume crops: developments and prospects.

作者信息

Mishra Gayatri

机构信息

Institute of Biological Chemistry, The Washington State University, Pullman, WA, 99164, USA.

出版信息

Plant Mol Biol. 2025 Sep 8;115(5):106. doi: 10.1007/s11103-025-01637-y.

Abstract

Legumes are essential for agriculture and food security. Biotic and abiotic stresses pose significant challenges to legume production, lowering productivity levels. Most legumes must be genetically improved by introducing alleles that give pest and disease resistance, abiotic stress adaptability, and high yield potential. The quickest way to develop high-yielding elite legume varieties with long-lasting resistance is to tap into potential resistance alleles present in landraces and wild relatives and exploit them in legume resistance breeding programs using next-generation molecular breeding methods. Most of the reviews focus on the advancements made by genome editing technologies in generating climate-tolerant legumes for breeding. This review discusses the challenges of genome-based editing tools and how the integration of other popular breeding methodologies, such as QTLs and GWAS, as well as computational techniques, can aid in the development of climate-tolerant legume crops. This review highlights genomics-based methodologies and recent advances that make it easier to assess genetic diversity and uncover adaptive genes in legumes. Computational approaches, such as machine learning, are important in mining the breeding-related genes identified by CRISPR and other genomic tools, as well as detecting the key elements and factors that regulate the expression of these genes, which addresses the challenge of developing climate-resilient legume crops.

摘要

豆类对农业和粮食安全至关重要。生物和非生物胁迫对豆类生产构成重大挑战,降低了生产力水平。大多数豆类必须通过引入赋予抗病虫害、适应非生物胁迫和高产潜力的等位基因进行遗传改良。培育具有持久抗性的高产优良豆类品种的最快方法是挖掘地方品种和野生近缘种中存在的潜在抗性等位基因,并利用下一代分子育种方法在豆类抗性育种计划中加以利用。大多数综述聚焦于基因组编辑技术在培育耐气候豆类方面取得的进展。本综述讨论了基于基因组的编辑工具面临的挑战,以及其他流行育种方法(如数量性状位点和全基因组关联研究)与计算技术的整合如何有助于培育耐气候豆类作物。本综述重点介绍了基于基因组学的方法和最新进展,这些方法和进展使评估豆类遗传多样性和发现适应性基因变得更加容易。机器学习等计算方法对于挖掘由CRISPR和其他基因组工具鉴定的育种相关基因,以及检测调控这些基因表达的关键元件和因素很重要,这解决了培育气候适应型豆类作物的挑战。

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