Current BiologyGeneticsPeer-reviewed journal article
Integrative genomics reveals the polygenic basis of seedlessness in grapevine
Xu WangiD, Zhongjie LiuiD, Fan ZhangiD, Hua XiaoiD, Shuo CaoiD, Hui Xue, Wénwén LiúiD, Ying SuiD, Zhenya LiuiD, Haixia ZhongiD, Fuchun ZhangiD, Bilal AhmadiD, Qiming LongiD, Yingchun ZhangiD, Yuting LiuiD, Yu Gan, Ting HouiD, Zhongxin JiniD, Xinyu WuiD, Guotian LiuiD, Yiwen WangiD, Yanling PengiD, Yongfeng ZhouiD
Abstract
Seedlessness is a crucial quality trait in table grape (Vitis vinifera L.) breeding. However, the development of seeds involved intricate regulations, while the polygenic basis of seed abortion remains unclear. Here, we combine comparative genomics, population genetics, quantitative genetics, and integrative genomics to unravel the evolution and polygenic basis of seedlessness in grapes. We generated four haplotype-resolved telomere-to-telomere (T2T) genomes for two seedless grape cultivars, Thompson Seedless (TS, syn. Sultania) and Black Monukka (BM). Comparative genomics identified a [~]4.25 Mb hemizygous inversion on Chr10 specific in seedless cultivars, with seedless-associated genes VvTT16 and VvSUS2 located at breakpoints. Population genomic analyses of 548 grapevine accessions revealed two distinct clusters of seedless cultivars, tracing the origin of the seedlessness trait back to Sultania. Introgression, rather than convergent selection, shaped the evolutionary history of seedlessness in grape improvement. Genome-wide association study (GWAS) analysis identified 110 quantitative trait loci (QTLs) associated with 634 candidate genes, including novel candidate genes, such as three 11S GLOBULIN SEED STORAGE PROTEIN and two CYTOCHROME P450 genes, and well-known genes like VviAGL11. Integrative genomic analyses resulted in 339 core candidate genes categorized into 13 groups related to seed development. Machine learning based genomic selection achieved a remarkable 99% precision in predicting grapevine seedlessness. Our findings highlight the polygenic nature of seedless and provide novel candidate genes for molecular genetics and an effective prediction for seedlessness in grape genomic breeding.
- organism: virus
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: variant effect prediction
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 38
- FWCI
- 9.24
- Field percentile
- top 1%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Genome resequencing, improvement of variant calling, and population genomic analyses provide insights into the seedlessness in the genus Vitis
Myung‐Shin Kim, Youn Young Hur, … Soon‐Chun Jeong·G3 Genes Genomes GeneticsPeer-reviewed·Jul 22, 2020
- The Evolutionary Genomics of Grape (Vitis vinifera ssp. vinifera) Domestication
Y. Zhou, M. Massonnet, … B. S. Gaut·Proceedings of the National Academy of SciencesPeer-reviewed·Oct 17, 2017
- Genome-wide association study in a diverse grapevine collection provides insights into the genetic basis of berry size and cluster architecture traits
Geovani Luciano de Oliveira, Felipe Roberto Francisco, … Mara Fernandes Moura Furlan·PLoS ONEPeer-reviewed·Mar 2, 2026
- Genome-wide association and prediction study in grapevine deciphers the genetic architecture of multiple traits and identifies genes under many new QTLs
Timothée Flutre, Loïc Le Cunff, … Agnès Doligez·G3 Genes Genomes GeneticsPeer-reviewed·Apr 29, 2022
- The genetic basis of sex determination in grapevines (Vitis spp.)
M. Massonnet, N. Cochetel, … D. Cantu·bioRxiv·Dec 11, 2019
- Characterization of genes and alleles involved in the control of flowering time in grapevine
Nadia M. Kamal, Iris Ochßner, … Daniela Holtgräwe·PLoS ONEPeer-reviewed·Jul 3, 2019