Factors underlying a latitudinal gradient in the S/G lignin monomer ratio in natural poplar variants

W Weiwei Zhu (Division of Plant Science and Technology, University of Missouri) J Jin Zhang P Pradeep Kumar Prabhakar (Complex Carbohydrate Research Center, University of Georgia) Y Yen On Chan (Institute for Data Science and Informatics, Department of Biomedical Informatics, Biostatistics, and Medical Epidemiology, University of Missouri) R Rachel A. Weber (Division of Plant Science and Technology, University of Missouri) M Mengjun Shu (Biosciences Division, Oak Ridge National Laboratory) G Ganesh Panzade (Institute for Data Science and Informatics, Department of Biomedical Informatics, Biostatistics, and Medical Epidemiology, University of Missouri) C Connor J. Cooper (Independent Researcher) R Russell B. Davidson (Biosciences Division, Oak Ridge National Laboratory) J Jin-Gui Chen (Center for Bioenergy Innovation, Oak Ridge National Laboratory) S Sara S. Jawdy (Center for Bioenergy Innovation, Oak Ridge National Laboratory) J Jerry M. Parks B Breeanna R. Urbanowicz (Complex Carbohydrate Research Center, University of Georgia) G Gerald A. Tuskan (Center for Bioenergy Innovation, Oak Ridge National Laboratory) T Trupti Joshi (Institute for Data Science and Informatics, Department of Biomedical Informatics, Biostatistics, and Medical Epidemiology, University of Missouri) R Richard A. Dixon (Center for Bioenergy Innovation, Oak Ridge National Laboratory) W Wellington Muchero (Center for Bioenergy Innovation, Oak Ridge National Laboratory) J Jaime Barros (Division of Plant Science and Technology, University of Missouri)

Abstract

The chemical composition of wood plays a pivotal role in the adaptability and structural integrity of trees. However, few studies have investigated the environmental factors that determine lignin composition and its biological significance in plants. Here, we examined the lignin syringyl-to-guaiacyl (S/G) ratio in members of a Populus trichocarpa population sourced from their native habitat and conducted a genome wide association study to identify genes linked to lignin formation. Our results revealed many significant associations, suggesting that lignin biosynthesis is a complex polygenic trait. Additionally, we found an increase in the S/G ratio from northern to southern geographic origin of the trees sampled, along with a corresponding metabolic and transcriptional reprogramming of xylem cell wall biosynthesis. Further molecular analysis identified a mutation in a cell wall laccase genetically associated with higher S/G ratios that predominate in trees from warmer lower latitudes. Collectively, our findings suggest that lignin heterogeneity arises from an evolutionary process enabling poplar adaptation to different climatic challenges.

Article Details

Volume / Issue Vol. 122, Issue 34
Published August 26, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (18)

W

Weiwei Zhu

Division of Plant Science and Technology, University of Missouri

J

Jin Zhang

P

Pradeep Kumar Prabhakar

Complex Carbohydrate Research Center, University of Georgia

Y

Yen On Chan

Institute for Data Science and Informatics, Department of Biomedical Informatics, Biostatistics, and Medical Epidemiology, University of Missouri

R

Rachel A. Weber

Division of Plant Science and Technology, University of Missouri

M

Mengjun Shu

Biosciences Division, Oak Ridge National Laboratory

G

Ganesh Panzade

Institute for Data Science and Informatics, Department of Biomedical Informatics, Biostatistics, and Medical Epidemiology, University of Missouri

C

Connor J. Cooper

Independent Researcher

R

Russell B. Davidson

Biosciences Division, Oak Ridge National Laboratory

J

Jin-Gui Chen

Center for Bioenergy Innovation, Oak Ridge National Laboratory

S

Sara S. Jawdy

Center for Bioenergy Innovation, Oak Ridge National Laboratory

J

Jerry M. Parks

B

Breeanna R. Urbanowicz

Complex Carbohydrate Research Center, University of Georgia

G

Gerald A. Tuskan

Center for Bioenergy Innovation, Oak Ridge National Laboratory

T

Trupti Joshi

Institute for Data Science and Informatics, Department of Biomedical Informatics, Biostatistics, and Medical Epidemiology, University of Missouri

R

Richard A. Dixon

Center for Bioenergy Innovation, Oak Ridge National Laboratory

W

Wellington Muchero

Center for Bioenergy Innovation, Oak Ridge National Laboratory

J

Jaime Barros

Division of Plant Science and Technology, University of Missouri