Genome-wide association analysis reveals regulatory genes for the metabolite synthesis of 2-acetyl-1-pyrroline in aromatic coconut (Cocos nucifera L.)

文献类型： 外文期刊

第一作者： Ding, Hao

作者： Ding, Hao;Lv, Xiang;Liu, Xiaomei;Sun, Xiwei;Li, Jing;Yang, Yaodong;Ding, Hao;Lv, Xiang;Zhou, Guangzhen;Liu, Xiaomei;Sun, Xiwei;Li, Jing;Yang, Yaodong;Zhou, Guangzhen;Iqbal, Amjad

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关键词： Aromatic coconut; 2AP; SNP; Genome-wide association study (GWAS); Haplotype analysis

期刊名称：JOURNAL OF GENETICS AND GENOMICS （ 影响因子：7.1； 五年影响因子：6.4 ）

ISSN： 1673-8527

年卷期： 2025 年 52 卷 2 期

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收录情况： SCI

摘要： Coconut (Cocos nucifera L.) is a key tropical economic tree valued for its fruit flavor, particularly 2-acetyl-1pyrroline (2AP), a vital aroma metabolite. To enhance high-aromatic coconut breeding efforts, it is essential to deeply understand the hereditary factors governing the production of 2AP. In this study, a genome-wide association analysis identifies 32 loci that exhibit significant associations with 2AP content based on single nucleotide polymorphism (SNP) variations from 168 aromatic coconut germplasm resources. Transcriptome analysis then pinpoints 22 candidate genes near significant loci involved in 2AP metabolism. Proteins encoded by these genes are involved in amino acid metabolism, glycolysis, and secondary metabolism. Among these, Asparagine synthetase coding gene ASN1, Gamma-glutamylcysteine synthetase coding gene GSH1, and UbiA prenyltransferase coding gene UBIA are enriched in the linkage region constructed by significant locus Chr04_61490504. In particular, the SNP mutation of CnASN1 leads to amino acid changes in the functional region of the coding protein, potentially resulting in differences in 2AP content among haplotype populations. Identifying variations in related candidate genes, particularly the gene CnASN1, provides molecular markers closely associated with 2AP synthesis for coconut breeding and offers further insights into the metabolic mechanisms of 2AP. Copyright (c) 2024, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, and Genetics Society of China. Published by Elsevier Limited and Science Press. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

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