首页|茄子果实相关农艺性状全基因组关联分析研究进展与展望

茄子果实相关农艺性状全基因组关联分析研究进展与展望

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茄子是重要的园艺作物,也是茄科植物中种植最广泛的蔬菜之一.茄子果实相关农艺性状是一种复杂的数量性状,传统育种选育效率低、周期长.高通量测序技术与生物信息学技术的快速发展,使得全基因组关联分析(genome-wide association study,GWAS)在解析茄子果实相关复杂农艺性状的遗传规律方面展现出巨大的应用前景.本文对全基因组关联分析在茄子的果形、果色等果实相关农艺性状中的研究进展进行了综述;针对茄子数量性状遗传研究中普遍存在的"丢失遗传力"(missing heritability)问题,从4个GWAS策略在茄子果实相关农艺性状研究中的应用热点出发,提出了未来茄子 GWAS 的发展对策;并结合当前茄子遗传改良的实践需求,展望了 GWAS 策略在茄子分子育种领域的广阔应用前景.本文为今后利用GWAS解析各种茄子果实相关性状的遗传基础以及选育符合消费者需求的果实材料提供了理论依据和参考.
Genome-wide association analysis of agronomic traits related to eggplant fruits:a review
Eggplant is an important horticultural crop and one of the most widely grown vegetables in the Solanaceae family.Eggplant fruit-related agronomic traits are complex quantitative traits with low efficiency and long cycle time for traditional breeding selection.With the rapid development of high-throughput sequencing technology and bioinformatics tools,genome-wide association study(GWAS)has shown great application potential in analyzing the genetic rules of complex agronomic traits related to eggplant fruits.This paper first reviews the progress of genome-wide association analysis in eggplant fruit shape,fruit color and other fruit-related agronomic traits.Subsequently,aiming at the problem of missing heritability,which is common in the genetic studies of eggplant quantitative traits,this paper puts forward the development strategies of eggplant GWAS in the future based on the hot spots of application of four GWAS strategies in the research of agronomics traits related to eggplant fruits.Lastly,the application of GWAS strategy in the field of eggplant molecular breeding is expected to provide a theoretical basis and reference for the future use of GWAS to analyze the genetic basis of various eggplant fruit-related traits and to select fruit materials that meet consumer needs.

genome-wide association studyphylogeneticsgenetic structuremissing heritabilitymolecular breeding

黎成、杨婷、庄彬贤、温永仙

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福建农林大学计算机与信息学院,福建 福州 350002

福建农林大学农学院,福建 福州 350028

福建省作物设计育种重点实验室,福建 福州 350003

福建农林大学统计及应用研究所,福建 福州 350002

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全基因组关联分析 系统遗传学 遗传结构 丢失遗传力 分子育种

国家自然科学基金福建农林大学科技创新专项基金

32071892CXZX2020109A

2024

生物工程学报
中国科学院微生物研究所 中国微生物学会

生物工程学报

CSTPCD北大核心
影响因子:0.641
ISSN:1000-3061
年,卷(期):2024.40(1)