New Zealand Institute for Public Health and Forensic Science (PHF Science)
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<i>Pinus radiata</i> genome reveals a downward demographic trajectory and opportunities for genomics-assisted breeding

journal contribution
posted on 2025-08-18, 21:45 authored by Shane SturrockShane Sturrock, Tancred Frickey, Jules Freeman, Jakob ButlerJakob Butler, Steffi Fritsche, Paloma Gea, Natalie Graham, Lucy MacDonald, Céline Mercier, Mark Paget, Leonardo Rippel Salgado, Frances SussmilchFrances Sussmilch, Emily Telfer, Phillip Wilcox, Heidi Dungey, Gancho Slavov
<p dir="ltr"><i>Pinus radiata</i> D. Don is one of the most widely planted exotic conifers. It is also a threatened species because native populations are small, disjunct, and challenged by pests and pathogens, deforestation, and climate maladaptation. Genomic tools can both enhance genetic improvement in operational breeding programs, and support conservation efforts. Using PacBio long-read sequencing, we assembled 20.6 Gbp of the large and complex <i>P. radiata</i> genome into 305,330 scaffolds, achieving a scaffold N50 of 196.22 kbp, which corresponds to 89% of its estimated genome size. Gene annotation, based on transcriptome data with a 97.9% BUSCO score, yielded 86,039 gene models. Linkage maps were used to anchor 7,952 contigs totaling 1.79 Gbp (approximately 9% of the assembly) across 12 pseudomolecules, which included c. 26% of the predicted genes. Genome resequencing (5.2×) of 40 trees, from 4 native populations and a major Australasian breeding population, uncovered c. 608.3 M SNPs which were used for population genomic analyses. A key finding of these analyses was the slower-than-expected decay of linkage disequilibrium (i.e. <i>r</i><sup>2</sup> > 0.2 up to 30 kb for SNPs with minor allele frequencies ≥ 0.10), suggesting recent drastic reductions of effective population size. Our findings indicate that genomic prediction could use fewer markers than the ca. 30 k that are currently employed. Additionally, this study highlights the potential for Southern Hemisphere breeding programs as ex situ conservation resources and established a foundation for functional characterization of the <i>P. radiata</i> genome.</p>

Funding

Scion Strategic Science Investment Funding (SSIF, C04X1703, for Scion’s Forest Systems science platform)

The New Zealand Ministry of Business, Innovation and Employment (MBIE) 2019 (C04X1808; “Genomics and Remote Sensing for Radiata Pine Breeding”)

UTAS/Scion contractor agreements (Scion QT9412, QT10378, CN012641, UTAS 9408).

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    DOI - Is published in G3: Genes, Genomes and Genetics

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Salila Bryant

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    Institute of Environmental Science and Research

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