Graph-based pangenome provides insights into structural variations and genetic basis of metabolic traits in potato

Potato is the world's most important nongrain crop. In this study, to assess genetic diversity within the Petota section, 29 genomes from Petota and Etuberosum sections were newly de novo assembled and 248 accessions of wild potatoes, landraces, and modern cultivars were re-sequenced at >25× depth. Subsequently, a graph-based pangenome was constructed using DM8.1 as the backbone, integrating194,330 nonredundant structural variants. To characterize the metabolome of tubers and illuminate the genomic basis of metabolic traits, LC-MS/MS was employed to obtain the metabolome of 157 accessions, and 9,321 structural variants (SVs) were detected to be significantly associated with 1,258 distinct metabolites via PAV (presence and absence variations)-based metabolomics-GWAS analysis, including metabolites of flavonoids, phenolic acids, and phospholipids. To facilitate the utilization of pangenome resources, a comprehensive platform, the Potato Pangenome Database (PPDB), was developed. Our study provides a comprehensive genomic resource for dissecting the genomic basis of agronomic and metabolic traits in potato, which will accelerate functional genomics studies and genetic improvements in potato.

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Publication Details

Journal
Molecular Plant
Published
2025-01-27
DOI
https://doi.org/10.1016/j.molp.2025.01.017
Citations
9
Primary Topic
Potato Plant Research
Type
article
Field-Weighted Citation Impact
10.46

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article

Graph-based pangenome provides insights into structural variations and genetic basis of metabolic traits in potato

Yuye Yu, Qiang Wang, Shaoyang Wang, Xuewei Wu et al.
9 citations
Molecular Plant
Potato Plant Research
10.46
article

Graph-based pangenome provides insights into structural variations and genetic basis of metabolic traits in potato

Yuye Yu, Qiang Wang, Shaoyang Wang, Xuewei Wu, Ping Wang, Xianping Li, Qiqi Liang, Zhe Liang, Sui QiJun, Qin Chen, Tingting Wang, Meng Li, Hai Du, Qiongfen Yang, Rui Yang, Xiaoling Zhu, Huachun Guo, Binquan Huang, Qian Zeng
article en
9 citations

Abstract

Potato is the world's most important nongrain crop. In this study, to assess genetic diversity within the Petota section, 29 genomes from Petota and Etuberosum sections were newly de novo assembled and 248 accessions of wild potatoes, landraces, and modern cultivars were re-sequenced at >25× depth. Subsequently, a graph-based pangenome was constructed using DM8.1 as the backbone, integrating194,330 nonredundant structural variants. To characterize the metabolome of tubers and illuminate the genomic basis of metabolic traits, LC-MS/MS was employed to obtain the metabolome of 157 accessions, and 9,321 structural variants (SVs) were detected to be significantly associated with 1,258 distinct metabolites via PAV (presence and absence variations)-based metabolomics-GWAS analysis, including metabolites of flavonoids, phenolic acids, and phospholipids. To facilitate the utilization of pangenome resources, a comprehensive platform, the Potato Pangenome Database (PPDB), was developed. Our study provides a comprehensive genomic resource for dissecting the genomic basis of agronomic and metabolic traits in potato, which will accelerate functional genomics studies and genetic improvements in potato.

Molecular PlantVol. 18(4)
Southwest University (CN), Yunnan University (CN), Yunnan Agricultural University (CN), Huazhong Agricultural University (CN), Sichuan Agricultural University (CN), Yunnan Academy of Agricultural Sciences (CN), Chinese Academy of Agricultural Sciences (CN), Biotechnology Research Institute (CN), Northwest A&F University (CN)
National Natural Science Foundation of China, Yunnan University, Yunnan Provincial Science and Technology Department
Zero hunger
Openalex Percentile: Top 2%
Potato Plant Research
10.46
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