A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties

  • Sarah L. Addison a , ∗,Luciana L. Mendoza b ,Megan A. Rúa c , d , Peter W. Clinton e , (Global Tree Root Microbiome Consortium) † , Steve A. Wakelin e
  • , Eoin Lettice

Research output: Contribution to journalArticlepeer-review

Abstract

Pinus radiata D. Don is one of the most widely planted conifer species globally. While it holds major commercial importance as a softwood plantation tree, its native pop- ulations are endangered, making it a species of high con- servation value. Here, we present a comprehensive dataset of genetic variation in P. radiata , derived from 821 trees (113 endemic and 708 introduced) sampled across 16 coun- tries. These include both highly domesticated material used in commercial forestry and genetically unaltered individuals from endemic populations. Genotyping was performed using genotype-by-sequencing (GBS), also known as double-digest RAD sequencing (ddRADseq), from P. radiata needle-derived genomic DNA. Alongside the SNP-by-sample dataset, we pro- vide an identity-by-state (IBS) matrix capturing genetic relat- edness among individuals. These resources can help trace the genetic origins of current tree breeding selections, identify opportunities to introgress novel genetic material to improve form, growth, and resilience, understand invasiveness of the taxon and guide efforts in conservation and restoration while maintaining the genetic integrity of endemic populations of this globally important species.
Original languageEnglish (Ireland)
Pages (from-to)2352-3409
JournalData in Brief
DOIs
Publication statusPublished - 3 Oct 2025

Keywords

  • Conservation Forestry Genetic gain Population ecology

Fingerprint

Dive into the research topics of 'A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties'. Together they form a unique fingerprint.

Cite this