Genome-Wide Association Studies Provide Molecular Insights into the Genetic Determination of the Fruit Shape-Related Traits of Actinidia eriantha

In the selection of new horticultural crops varieties, fruit shape and size are key agronomic traits targeted by breeders, as well as critical criteria for commercial evaluation and grading. Wild germplasm resources typically exhibit greater genetic diversity in fruit morphology compared to cultivated varieties. The study analyzed fruit shape-related traits of 216 Actinidia eriantha plants from a wild population in Jiangxi Province, China, and identified significant associated single nucleotide polymorphisms (SNPs) and candidate genes for the target traits using genome-wide association analysis (GWAS). The results revealed substantial phenotypic variation in fruit shape- and size-related traits. A total of 115 SNPs and 349 putative coding genes were significantly associated with 7 fruit shape-related traits. Within the candidate genomic regions, we identified several key genes linked to specific morphological features, including F-box and MADS4, previously reported to influence fruit shape; WOX, F-box, and OVATE, associated with fruit shape index; RING-type E3 ubiquitin transferase, correlated with transverse diameter; and PLATZ, COL, and Aux/IAA, implicated in fruit weight regulation. These findings facilitate the precise identification of genes or quantitative trait loci (QTLs) governing fruit morphology. Furthermore, the associated SNP markers provide valuable tools for marker-assisted breeding, enabling the development of elite cultivars with desirable fruit characteristics.

Authors

Institutions

Publication Details

Journal
Horticulturae
Published
2025-05-15
DOI
https://doi.org/10.3390/horticulturae11050538
Citations
3
Primary Topic
Plant Gene Expression Analysis
Type
article
Field-Weighted Citation Impact
2.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genome-Wide Association Studies Provide Molecular Insights into the Genetic Determination of the Fruit Shape-Related Traits of Actinidia eriantha

Jipeng Mao, Xiaobiao Xu, Dongfeng Jia, Lu Chen et al.
3 citations
Horticulturae
Plant Gene Expression Analysis
2.42
article

Genome-Wide Association Studies Provide Molecular Insights into the Genetic Determination of the Fruit Shape-Related Traits of Actinidia eriantha

Jipeng Mao, Xiaobiao Xu, Dongfeng Jia, Lu Chen, Huan Gao, Yansong Liu
article en
3 citations

Abstract

In the selection of new horticultural crops varieties, fruit shape and size are key agronomic traits targeted by breeders, as well as critical criteria for commercial evaluation and grading. Wild germplasm resources typically exhibit greater genetic diversity in fruit morphology compared to cultivated varieties. The study analyzed fruit shape-related traits of 216 Actinidia eriantha plants from a wild population in Jiangxi Province, China, and identified significant associated single nucleotide polymorphisms (SNPs) and candidate genes for the target traits using genome-wide association analysis (GWAS). The results revealed substantial phenotypic variation in fruit shape- and size-related traits. A total of 115 SNPs and 349 putative coding genes were significantly associated with 7 fruit shape-related traits. Within the candidate genomic regions, we identified several key genes linked to specific morphological features, including F-box and MADS4, previously reported to influence fruit shape; WOX, F-box, and OVATE, associated with fruit shape index; RING-type E3 ubiquitin transferase, correlated with transverse diameter; and PLATZ, COL, and Aux/IAA, implicated in fruit weight regulation. These findings facilitate the precise identification of genes or quantitative trait loci (QTLs) governing fruit morphology. Furthermore, the associated SNP markers provide valuable tools for marker-assisted breeding, enabling the development of elite cultivars with desirable fruit characteristics.

HorticulturaeVol. 11(5)
Jiangxi Academy of Sciences (CN), Jiangxi Agricultural University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 12%
Plant Gene Expression Analysis
2.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.