ArticleEvolutionary applications2020
Landscape genomics predicts climate change-related genetic offset for the widespread
Article in Evolutionary applications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
46 citing papers in PubMed.
- Assessing Future Maladaptation Risk in the Keystone SpeciesEvolutionary applications · 2026Article
- Insight Into the Genetic Architecture of Local (Mal)Adaptation in Wild and Feral Brassica rapa Populations.Molecular ecology · 2026Article
- Dissecting the genetic basis of climatic adaptation in wild relatives (Malus baccata) for climate-resilient apple breeding.Journal of integrative plant biology · 2026Article
- Landscape Genomics Reveals Divergent Adaptation Modes and Predicts Climate Vulnerability in Xinjiang Indigenous Sheep.Animals : an open access journal from MDPI · 2026Article
- A chromosome-level genome assembly of Platycladus orientalis and comparative genomics reveal pivotal roles of transposable elements in gene duplication and pseudogenization across gymnosperm giga-genomes.Plant communications · 2026Article
- Genomic forecasting for climate-resilient fruit trees.The New phytologist · 2026Review
- Climate-Induced Genomic Selection: Genetic Structure Variation ofEvolutionary applications · 2026Article
- Genomic insights into adaptive divergence and genetic vulnerability to climate change of the medicinal plant Isodon rubescens (Hemsl.) H. Hara in central China.BMC plant biology · 2026Article
- Re-Interpreting Genetic Offset: Quantifying the Least Required Evolutionary Rate Under Climate Change at the Mediterranean Range Margin of European Beech.Evolutionary applications · 2026Article
- Biogeography and Climate Drive Population Divergence and Genomic Vulnerability in High Altitude Endemic Bird.Molecular ecology · 2026Article
- Spatiotemporal genomic patterns ofForestry research · 2026Article
- Integrated chloroplast genomics and whole-genome resequencing reveals demographic history and selection signatures of black walnuts.The plant genome · 2025Article
- Genomics-Driven Monitoring of Fraxinus latifolia (Oregon Ash) to Inform Conservation and EAB-Resistance Breeding.Molecular ecology · 2025Article
- Wet Season Environments Drive Local Adaptation in the Timber Tree Dicorynia guianensis in French Guiana.Molecular ecology · 2025Article
- Applying Genomic Offsets to Breeding Programmes: Bridging Evolutionary Insights With Practical Applications.Evolutionary applications · 2025Article
- Predicting fitness in future climates: insights from temporally replicated field experiments inEvolution letters · 2025Article
- Local Adaptation and Climate Change Vulnerability of the Relict Tree SpeciesEvolutionary applications · 2025Article
- Strong Environmental and Genome-Wide Population Differentiation Underpins Adaptation and High Genomic Vulnerability in the Dominant Australian Kelp (Ecology and evolution · 2025Article
- Revealing that artificial reproduction promotes increased genetic diversity between generations inFrontiers in plant science · 2025Article
- Genomics reveal population structure, genetic diversity and evolutionary history ofFrontiers in plant science · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding and quantifying populations' adaptive genetic variation and their response to climate change are critical to reforestation's seed source selection, forest management decisions, and gene conservation. Landscape genomics combined with geographic and environmental information provide an opportunity to interrogate forest populations' genome-wide variation for understanding the extent to which evolutionary forces shape past and contemporary populations' genetic structure, and identify those populations that may be most at risk under future climate change. Here, we used genotyping by sequencing to generate over 11,000 high-quality variants from
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