volume 219 pages 109361

Genome-wide association study and transcriptome analysis reveal the genetic basis underlying the environmental adaptation of plant height in a woody plant

Yao Liu 1
Yanmin Hu 2
Liang Yang 3
Tao Zhao 4
Sifan Zheng 1
Xianjun Peng 5, 6
Publication typeJournal Article
Publication date2025-02-01
scimago Q1
wos Q1
SJR1.322
CiteScore10.0
Impact factor5.7
ISSN09819428, 18732690
Abstract
Studies on plant height have been conducted in several crops. However, the underlying genetic mechanisms in woody plants remain unclear. To improve the genetic understanding of plant height, the genome-wide association study (GWAS) was conducted on the 298 individuals of paper mulberry (Broussonetia papyrifera), and the individuals with the highest and lowest plant heights were selected for comparative transcriptome analysis. The analysis of phenotypic data showed that plant height decreased from low latitude (N: 24°30′) to high latitude (N: 41°00′), ranging from 372 to 150 cm. Furthermore, the plant height of paper mulberry was significantly correlated with environmental factors, such as latitude, frost-free period, hours of sunshine and so on, indicating adaptive phenotypic divergence across environmental gradients. A total of 228 candidate genes were identified through the GWAS, including three genes (Bp10g0547, Bp10g0551 and Bp10g0817) that contained nonsynonymous SNP variations significantly affecting plant height. A total of 2554 differentially expressed genes (DEGs) were identified through RNA sequencing (RNA-seq) analysis, including 28, 5, 3, 20 and 138 DEGs involved in auxin, gibberellin, cytokinin, ubiquitylation and transcription factors, respectively. Besides, there were 13 common genes identified by integrating GWAS and RNA-seq analysis, including Bp10g0817, which encodes COP1 (CONSTITUTIVELY PHOTOMORPHOGENIC 1) and belongs to the RING type E3 ubiquitin ligase gene family. Collectively, this study provides valuable insights into the genetic mechanisms underlying plant height and adaptation of woody plants to diverse environments.
Found 
Found 

Top-30

Journals

1
Plant Physiology and Biochemistry
1 publication, 33.33%
Biomass and Bioenergy
1 publication, 33.33%
International Journal of Molecular Sciences
1 publication, 33.33%
1

Publishers

1
2
Elsevier
2 publications, 66.67%
MDPI
1 publication, 33.33%
1
2
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
3
Share
Cite this
GOST |
Cite this
GOST Copy
Liu Y. et al. Genome-wide association study and transcriptome analysis reveal the genetic basis underlying the environmental adaptation of plant height in a woody plant // Plant Physiology and Biochemistry. 2025. Vol. 219. p. 109361.
GOST all authors (up to 50) Copy
Liu Y., Hu Y., Yang L., Zhao T., Zheng S., Peng X. Genome-wide association study and transcriptome analysis reveal the genetic basis underlying the environmental adaptation of plant height in a woody plant // Plant Physiology and Biochemistry. 2025. Vol. 219. p. 109361.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.plaphy.2024.109361
UR - https://linkinghub.elsevier.com/retrieve/pii/S0981942824010295
TI - Genome-wide association study and transcriptome analysis reveal the genetic basis underlying the environmental adaptation of plant height in a woody plant
T2 - Plant Physiology and Biochemistry
AU - Liu, Yao
AU - Hu, Yanmin
AU - Yang, Liang
AU - Zhao, Tao
AU - Zheng, Sifan
AU - Peng, Xianjun
PY - 2025
DA - 2025/02/01
PB - Elsevier
SP - 109361
VL - 219
PMID - 39631345
SN - 0981-9428
SN - 1873-2690
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Liu,
author = {Yao Liu and Yanmin Hu and Liang Yang and Tao Zhao and Sifan Zheng and Xianjun Peng},
title = {Genome-wide association study and transcriptome analysis reveal the genetic basis underlying the environmental adaptation of plant height in a woody plant},
journal = {Plant Physiology and Biochemistry},
year = {2025},
volume = {219},
publisher = {Elsevier},
month = {feb},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0981942824010295},
pages = {109361},
doi = {10.1016/j.plaphy.2024.109361}
}