Pangenome analysis of Liriodendron reveals presence/absence variations associated with growth traits

Beyond single nucleotide polymorphisms (SNPs), gene presence/absence variation (PAV) plays a crucial role in elucidating species' genetic diversity, uncovering the genetic basis of key traits, and advancing molecular marker-assisted breeding in plants. In this study, we constructed a pangenome of Liriodendron based on 24 accessions. Comparative analysis with the reference genome revealed 116 Mb of non-reference sequences and obtained 32,773 genes, including 3,558 novel genes. We subsequently employed resequencing data from 247 Liriodendron genotypes to identify PAVs, comprising 13,779 core genes and 18,179 dispensable genes. To further assess PAV applicability, a genome-wide association study (GWAS) was conducted to link gene PAVs with growth traits in hybrid Liriodendron, and identified 14 candidate genes associated with these growth traits above. Additionally, gene PAVs appeared to predominantly contribute to heterosis in growth traits, displaying a dominant expression pattern when comparing leaf, shoot, and phloem tissues of strong and weak heterotic combinations. Additionally, two key candidate genes, Litul.02G164100 and Litul.01G057400, exhibit high parental expression patterns consistent with hybrid vigor in strong heterotic combinations of leaf and shoot tissues. Altogether, this study expands the Liriodendron genomic dataset, identifies candidate genes linked to growth traits, and provides insights into their heterotic mechanisms in hybrid Liriodendron.

Authors

Institutions

Publication Details

Journal
BMC Plant Biology
Published
2025-08-08
DOI
https://doi.org/10.1186/s12870-025-07109-1
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Pangenome analysis of Liriodendron reveals presence/absence variations associated with growth traits

Yaxian Zong, Siqi Chen, Huogen Li, Chunfa Tong et al.
BMC Plant Biology
Genetic Mapping and Diversity in Plants and Animals
article

Pangenome analysis of Liriodendron reveals presence/absence variations associated with growth traits

Yaxian Zong, Siqi Chen, Huogen Li, Chunfa Tong, Jing Wang, Hainan Wu, Lichun Yang
article en

Abstract

Beyond single nucleotide polymorphisms (SNPs), gene presence/absence variation (PAV) plays a crucial role in elucidating species' genetic diversity, uncovering the genetic basis of key traits, and advancing molecular marker-assisted breeding in plants. In this study, we constructed a pangenome of Liriodendron based on 24 accessions. Comparative analysis with the reference genome revealed 116 Mb of non-reference sequences and obtained 32,773 genes, including 3,558 novel genes. We subsequently employed resequencing data from 247 Liriodendron genotypes to identify PAVs, comprising 13,779 core genes and 18,179 dispensable genes. To further assess PAV applicability, a genome-wide association study (GWAS) was conducted to link gene PAVs with growth traits in hybrid Liriodendron, and identified 14 candidate genes associated with these growth traits above. Additionally, gene PAVs appeared to predominantly contribute to heterosis in growth traits, displaying a dominant expression pattern when comparing leaf, shoot, and phloem tissues of strong and weak heterotic combinations. Additionally, two key candidate genes, Litul.02G164100 and Litul.01G057400, exhibit high parental expression patterns consistent with hybrid vigor in strong heterotic combinations of leaf and shoot tissues. Altogether, this study expands the Liriodendron genomic dataset, identifies candidate genes linked to growth traits, and provides insights into their heterotic mechanisms in hybrid Liriodendron.

BMC Plant BiologyVol. 25(1)
Nanjing Forestry University (CN)
U.S. Department of Energy, Joint Genome Institute, National Natural Science Foundation of China, Priority Academic Program Development of Jiangsu Higher Education Institutions, Office of Science, National Key Research and Development Program of China
Life in Land
Openalex Percentile: Top 78%
Genetic Mapping and Diversity in Plants and Animals
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.