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地中海无花果树的遗传嵌合体:基因库收集的综合基因组见解。

Genetic mosaic of the Mediterranean fig: comprehensive genomic insights from a gene bank collection.

机构信息

Institute of Plant Breeding and Genetic Resources, ELGO DIMITRA, Thermi, Greece.

Joint Laboratory of Horticulture, ELGO DIMITRA, Thermi, Greece.

出版信息

Physiol Plant. 2024 Jul-Aug;176(4):e14482. doi: 10.1111/ppl.14482.

DOI:10.1111/ppl.14482
PMID:39149812
Abstract

High-depth whole-genome resequencing of 53 diverse fig tree genotypes yielded a rich dataset of genetic variants. We successfully identified 5,501,460 single-nucleotide polymorphisms (SNPs) and 1,228,537 insertions and deletions (InDels), providing a high-density and excellent-quality genetic map of the fig tree. We also performed a detailed population structure analysis, dividing the 53 genotypes into three geographical groups and assessing their genetic diversity and divergence. Analysis of structural variants (SVs) and copy number variations (CNVs) revealed their potential functional impact, particularly in plant-pathogen interaction and secondary metabolism. Metabolomic fingerprinting of fig genotypes uncovered extensive variation in primary metabolites and polyphenolic compounds, highlighting the influence of genotype on fruit quality traits such as nutritional content and bioactive compound composition. The genome-wide association study (GWAS) identified critical SNPs associated with fruit quality and morphological features. The discovery of significant candidate genes, such as AGL62, GDSL, and COBRA-like protein 4 genes, offers promising targets for marker-assisted selection and genome editing approaches to improve fig fruit morphological and quality traits. This extensive genomic analysis of fig trees enhances our understanding of the genetic basis of important agronomic traits and provides a rich resource for future research in this economically and nutritionally significant fruit.

摘要

对 53 个不同的无花果树基因型进行深度全基因组重测序,产生了丰富的遗传变异数据集。我们成功鉴定了 5,501,460 个单核苷酸多态性(SNP)和 1,228,537 个插入和缺失(InDel),为无花果树提供了高密度和高质量的遗传图谱。我们还进行了详细的种群结构分析,将 53 个基因型分为三个地理组,并评估了它们的遗传多样性和分化。结构变异(SVs)和拷贝数变异(CNVs)的分析揭示了它们潜在的功能影响,特别是在植物-病原体相互作用和次生代谢中。无花果树基因型的代谢组指纹分析揭示了初级代谢物和多酚化合物的广泛变异,突出了基因型对果实品质性状的影响,如营养含量和生物活性化合物组成。全基因组关联研究(GWAS)鉴定了与果实品质和形态特征相关的关键 SNP。发现重要候选基因,如 AGL62、GDSL 和 COBRA-like protein 4 基因,为标记辅助选择和基因组编辑方法提供了有希望的目标,以改善无花果树果实的形态和品质特征。对无花果树的广泛基因组分析增强了我们对重要农艺性状遗传基础的理解,并为未来在这个具有经济和营养意义的水果中的研究提供了丰富的资源。

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