Genome‐wide association study of multiyear dynamic growth traits in hybrid Liriodendron identifies robust genetic loci associated with growth trajectories

Abstract

SUMMARYThe genetic factors underlying growth traits differ over time points or stages. However, most current studies of phenotypes at single time points do not capture all loci or explain the genetic differences underlying growth trajectories. Hybrid Liriodendron exhibits obvious heterosis and is widely cultivated, although its complex genetic mechanism underlying growth traits remains unknown. A genome‐wide association study (GWAS) is an effective method for elucidating the genetic architecture by identifying genetic loci underlying complex quantitative traits. In the present study, using a GWAS, we identified robust loci associated with growth trajectories in hybrid Liriodendron populations. We selected 233 hybrid progenies derived from 25 crosses for resequencing, and measured their tree height (H) and diameter at breast height (DBH) for 11 consecutive years; 192 972 high‐quality single nucleotide polymorphisms (SNPs) were obtained. The dynamics of the multiyear single‐trait GWAS showed that year‐specific SNPs predominated, and only five robust SNPs for DBH were identified in at least three different years. Multitrait GWAS analysis with model parameters as latent variables also revealed 62 SNPs for H and 52 for DBH associated with the growth trajectory, displaying different biomass accumulation patterns, among which four SNPs exerted pleiotropic effects. All identified SNPs also exhibited temporal variations in effect sizes and inheritance patterns potentially related to different growth and developmental stages. The haplotypes resulting from these significant SNPs might pyramid favorable loci, benefitting the selection of superior genotypes. The present study provides insights into the genetic architecture of dynamic growth traits and lays a basis for future molecular‐assisted breeding.

Analysis of Growth Trajectories and Verification of Related SNPs in Populus deltoides

“…Researchers have recognized this issue and have conducted numerous studies to investigate the genetic mechanisms underlying the growth of forest trees [16][17][18][19]. The functional mapping approach proposed by Wu and Lin [20] has been widely used for dissecting the genetic architecture of growth traits in forest trees [5,21,22]. By incorporating a temporal dimension, the functional mapping approach takes into account the dynamic nature of growth and captures the genetic effects on traits at different developmental stages.…”