Providing Biological Context for GWAS Results Using eQTL Regulatory and Co-Expression Networks in Populus

Mengjun Shu, Timothy Yates, Cai John, Anne Harman-Ware, Renee Happs, Nathan Bryant, Sara Jawdy, Arthur Ragauskas, Gerald Tuskan, Wellington Muchero, Jin-Gui Chen

Research output: Contribution to journalArticlepeer-review

Abstract

Our study utilized genome-wide association studies (GWAS) to link nucleotide variants to traits in Populus trichocarpa, a species with rapid linkage disequilibrium decay. The aim was to overcome the challenge of interpreting statistical associations at individual loci without sufficient biological context, which often leads to reliance solely on gene annotations from unrelated model organisms.We employed an integrative approach that included GWAS targeting multiple traits using three individual techniques for lignocellulose phenotyping, expression quantitative trait loci (eQTL) analysis to construct transcriptional regulatory networks around each candidate locus and co-expression analysis to provide biological context for these networks, using lignocellulose biosynthesis in Populus trichocarpa as a case study.The research identified three candidate genes potentially involved in lignocellulose formation, including one previously recognized gene (Potri.005G116800/VND1, a critical regulator of secondary cell wall formation) and two genes (Potri.012G130000/AtSAP9 and Potri.004G202900/BIC1) with newly identified putative roles in lignocellulose biosynthesis.Our integrative approach offers a framework for providing biological context to loci associated with trait variation, facilitating the discovery of new genes and regulatory networks.
Original languageAmerican English
JournalNew Phytologist
DOIs
StatePublished - 2024

NREL Publication Number

  • NREL/JA-5H00-91227

Keywords

  • expression quantitative trait loci
  • gene networks
  • genome-wide associationstudies
  • lignocellulose formation
  • Populus

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