Genetic Diversity, Adaptive Evolution, and Conservation Genomics of Forest Trees

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Genetics and Molecular Biology".

Deadline for manuscript submissions: closed (30 June 2026) | Viewed by 970

Editors


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Guest Editor
Department of Biology, University of Oxford, Oxford, UK
Interests: forest trees; population genetics; conservation genetics; evolutionary biology

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Guest Editor
Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Büsgenweg 2, D-37077 Göttingen, Germany
Interests: evolutionary, population, conservation and ecological genetics; environmental stress and adaptive genes; comparative and population genomics; complete pine and larch genome sequencing; genome, QTL, comparative, candidate gene and association mapping; genome breeding; plant molecular systematics and phylogeny; introgressive hybridization, gene flow and mating system; molecular genetic marker development
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Special Issue Information

Dear Colleagues,

Forest trees are epitomes of ecological significance and evolutionary resilience. Their unusual genetic complexity, arising from their immense genome sizes, long lifespans, ancient evolutionary history, and distinct life histories, presents unique opportunities and challenges for research. As sessile organisms, trees exemplify resilience in the face of environmental change, yet remain vulnerable to mounting global threats. This Special Issue highlights this dynamic tension by presenting cutting-edge studies spanning molecular mechanisms to applied conservation strategies.

The rapid development of genomic technologies, machine learning, and advanced biostatistical approaches has transformed forest tree research and enabled more informed management decisions. In an era of accelerated climatic change and anthropogenic pressures, leveraging genomic information has become essential to safeguard forests and their genetic resources.

We welcome contributions that advance understanding of forest tree biology through genomic perspectives, while also equipping practitioners and policymakers with actionable knowledge for conservation. Potential topics include, but are not limited to:

  • Population and Landscape Genomics: Revealing spatial genetic patterns across environmental gradients to disentangle neutral and adaptive processes;
  • Adaptive Traits and Genotype–Phenotype Mapping: Using QTL mapping, GWAS, and functional assays to uncover traits linked to drought tolerance, phenology, and disease resistance;
  • Epigenetic Regulation and Plasticity: Examining how trees employ epigenetic mechanisms to buffer, modulate, or accelerate responses to stressors;
  • Conservation Genomics in Practice: Translating genetic insights into policy and management, from setting priorities to designing targeted restoration strategies;
  • Methodological Innovations: Developing novel genomic and biostatistical tools to address increasingly complex datasets;
  • Synthesis and Reviews: Integrating theories, case studies, and frameworks to assess progress, identify gaps, and highlight future directions.

We extend our sincere gratitude to all contributing authors and reviewers, whose rigorous scholarship drives forward the science and practice of forest genetics and conservation.

Dr. Tin Hang Hung
Prof. Dr. Konstantin V. Krutovsky
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • genetic diversity
  • adaptive evolution
  • forest tree genomics
  • conservation genomics
  • landscape genomics
  • epigenetics
  • climate change adaptation
  • population structure
  • provenance and restoration
  • forest genetic resources

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Published Papers (1 paper)

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Research

49 pages, 11941 KB  
Article
Genomic Offset Reveals Siberian Larch (Larix sibirica L.) Populations Potentially Vulnerable to Future Climate
by Serafima V. Novikova, Natalia V. Oreshkova, Vadim V. Sharov and Konstantin V. Krutovsky
Forests 2026, 17(6), 696; https://doi.org/10.3390/f17060696 - 12 Jun 2026
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Abstract
This study evaluates the vulnerability of Siberian larch (Larix sibirica L.) populations to future climate change using a genomic offset (GO) framework that integrates genome-wide SNP data with environmental variables. We analyzed 488 individuals from 37 populations across climatically diverse regions of [...] Read more.
This study evaluates the vulnerability of Siberian larch (Larix sibirica L.) populations to future climate change using a genomic offset (GO) framework that integrates genome-wide SNP data with environmental variables. We analyzed 488 individuals from 37 populations across climatically diverse regions of Russia, genotyped by sequencing at over 20,000 SNP loci using the ddRADseq method. Gene–environment association (GEA) analyses (BayeScEnv, LFMM2, and RDA) identified candidate adaptive loci linked to six key bioclimatic variables. Based on these loci, GO was estimated using three approaches implemented in RONA–RDA, RDA, and Gradient Forest frameworks under multiple climate models (MIROC6, BCC-CSM2-MR, MRI-ESM2-0), scenarios (SSP2-4.5, SSP3-7.0, SSP5-8.5), and time periods (2041–2060, 2061–2080, and 2081–2100). Results revealed consistent spatial patterns of vulnerability, with northern and high-altitude populations, as well as populations from more continental and moisture-limited regions, exhibiting the highest GO and thus the greatest risk of maladaptation. In contrast, several central and southern populations showed relatively low vulnerability. The importance of temperature stability (isothermality) and precipitation of the driest month as key drivers of adaptive variation was highlighted. Despite differences in SNP datasets, population rankings remained highly consistent, supporting the robustness of predictions. Overall, our findings demonstrate substantial heterogeneity in climate vulnerability across the species range and provide a genomic basis for conservation strategies, including assisted gene exchange and climate-adaptive forest management. Full article
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