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Time-specific and pleiotropic quantitative trait loci coordinately modulate stem growth in Populus.

Qingzhang Du1,2,3, Xiaohui Yang1,2,3, Jianbo Xie1,2,3

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Summary

Understanding tree growth variation is key for improving competitiveness. This study identifies genetic factors influencing stem height and diameter in Populus, revealing time-specific gene effects crucial for breeding better trees.

Keywords:
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Area of Science:

  • Plant genetics and genomics
  • Quantitative trait genetics in woody plants

Background:

  • Coordinated stem height and diameter growth in juvenile trees enhances light competition.
  • Genetic factors controlling variation in tree stem growth during the juvenile phase are largely unknown.

Purpose of the Study:

  • To decipher the genetic architecture of juvenile stem growth traits in Populus.
  • To identify specific genes and genetic variations influencing stem growth dynamics over time.

Main Methods:

  • Utilized linkage-linkage disequilibrium (LD) mapping with two distinct Populus populations (linkage and association mapping panels).
  • Mapped quantitative trait loci (QTL) across 12 timepoints and identified significant SNPs within segmental homology regions (SHRs).
  • Analyzed gene expression profiles and signatures of selection in relation to identified genetic variants.

Main Results:

  • Mapped 311 QTL for three growth traits to 42 regions, with 28 regions (233 QTL) identified as SHRs.
  • Identified significant SNPs within SHRs affecting stem growth across nine timepoints, demonstrating complex additive, dominance, and epistatic patterns.
  • Discovered 19 genes linked to potential causative alleles with time-specific or pleiotropic effects, overlapping with selection signatures.

Conclusions:

  • The genetic basis of complex tree growth traits is temporally dynamic and influenced by pleiotropic and time-specific gene actions.
  • Identified genes with species-specific temporal expression patterns highlight their role in juvenile stem development.
  • Findings provide a foundation for the molecular design of improved tree ideotypes by considering the temporal genetic architecture of growth.