ArticlePLoS genetics2022
A transcriptome-based association study of growth, wood quality, and oleoresin traits in a slash pine breeding population.
Article in PLoS genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Integrating GWAS-guided markers preselection with genomic selection enhances prediction of pulpwood-related traits in slash pine (Pinus elliottii Englem.).BMC plant biology · 2026Article
- Exploring Pinus nigra's induced defense arsenal against Diplodia sapinea through gene and metabolic pathway analysis.BMC genomics · 2026Article
- Transcriptional regulation modulates nitrate uptake and utilization ofFrontiers in plant science · 2026Article
- Application and development prospect of genomic selection breeding in coniferous trees.Planta · 2025Review
- Long term proliferation and physiological response of embryogenic callus in Slash pine (Pinus Elliottii Engelm).Scientific reports · 2025Article
- The speed breeding technology of five generations per year in cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- MTSC-Net: A Semi-Supervised Counting Network for Estimating the Number of Slash pine New Shoots.Plant phenomics (Washington, D.C.) · 2024Article
- Genetic selection for growth, wood quality and resin traits of potential Slash pine for multiple industrial uses.Forestry research · 2024Article
- Association Mapping and Expression Analysis of the Genes Involved in the Wood Formation of Poplar.International journal of molecular sciences · 2023Article
- Combined genome-wide association studies and expression quantitative trait locus analysis uncovers a genetic regulatory network of floral organ number in a tree peony (Horticulture research · 2023Article
- Genetic analysis and elite tree selection of the main resin components ofFrontiers in plant science · 2023Article
- CountShoots: Automatic Detection and Counting of Slash Pine New Shoots Using UAV Imagery.Plant phenomics (Washington, D.C.) · 2023Article
- Phenomic selection in slash pine multi-temporally using UAV-multispectral imagery.Frontiers in plant science · 2023Article
- Current status and trends in forest genomics.Forestry research · 2022Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Slash pine (Pinus elliottii Engelm.) is an important timber and resin species in the United States, China, Brazil and other countries. Understanding the genetic basis of these traits will accelerate its breeding progress. We carried out a genome-wide association study (GWAS), transcriptome-wide association study (TWAS) and weighted gene co-expression network analysis (WGCNA) for growth, wood quality, and oleoresin traits using 240 unrelated individuals from a Chinese slash pine breeding population. We developed high quality 53,229 single nucleotide polymorphisms (SNPs). Our analysis reveals three main results: (1) the Chinese breeding population can be divided into three genetic groups with a mean inbreeding coefficient of 0.137; (2) 32 SNPs significantly were associated with growth and oleoresin traits, accounting for the phenotypic variance ranging from 12.3% to 21.8% and from 10.6% to 16.7%, respectively; and (3) six genes encoding PeTLP, PeAP2/ERF, PePUP9, PeSLP, PeHSP, and PeOCT1 proteins were identified and validated by quantitative real time polymerase chain reaction for their association with growth and oleoresin traits. These results could be useful for tree breeding and functional studies in advanced slash pine breeding program.
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