Population Genetics and Molecular Evolution of 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 (31 March 2026) | Viewed by 1249

Special Issue Editor


E-Mail Website
Guest Editor
Institute of Biological Sciences, Faculty of Biology and Environmental Sciences, Cardinal Stefan Wyszynski University in Warsaw, Wóycickiego 1/3 Street, 01-938 Warsaw, Poland
Interests: molecular biology; molecular genetics; genetics of conservation; forensic sciences
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Population genetics and molecular evolution studies in forest trees reveal high genetic diversity and adaptive potential, shaped by long lifespans, gene flow, and interbreeding. Integrated omics approaches—genomics, transcriptomics, proteomics, and metabolomics—are uncovering mechanisms of evolutionary divergence and environmental adaptation. Recent genomic studies highlight the role of genome duplication and dynamic gene regulation, especially in response to biotic and abiotic stressors like pathogens, drought, and soil contamination. Transcriptomic analyses identify differentially expressed genes in key metabolic pathways, while proteomics deepens our understanding of post-transcriptional adaptations. Population genomics detects selective pressures and links nucleotide polymorphisms to local adaptation, emphasizing trees’ genomic plasticity proving that the genomic evolution of trees acts as a buffer against climate and environmental changes, with a constant need for broader data on advanced omics technologies, including predictive modeling of evolutionary responses, related to plant growth and adaptation to anthropogenic pressures in forest environments.

These insights support the prediction that evolutionary responses to anthropogenic pressures may effectively contribute to forest management while maintaining the sustainability of future forest ecosystems, with a pressing need for more data on underrepresented tree species using advanced omics technologies. This Special Issue invites interdisciplinary submissions, from experimental to modeling studies, focused on population and evolutionary genetics of forest trees, aiming to conserve forest genetic resources and influence future forest policies.

Prof. Dr. Justyna A. Nowakowska
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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-blind 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

  • adaptive evolution/selection
  • climate resilience
  • conservation genetics/genomics
  • genomic plasticity
  • environmental adaptation
  • epigenomics
  • management of forest genetic resources
  • molecular evolution
  • population genetics
  • proteomics
  • transcriptomics

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

14 pages, 3755 KB  
Article
Genetic Diversity of Robinia pseudoacacia L. Populations from North-Western Romania Revealed by ISSR Markers
by Ruben Budau, Eliza Maria Agud, Vasile Laslo, Adrian Ioan Timofte and Mariana Florica Bei
Forests 2025, 16(12), 1795; https://doi.org/10.3390/f16121795 - 29 Nov 2025
Cited by 3 | Viewed by 722
Abstract
This study aims to evaluate the genetic diversity of the species Robinia pseudoacacia L. using several populations selected from places located in the Crișana Region. The first six ISSRs tested gave distinct bands, with a total of 59 loci, of which 45 were [...] Read more.
This study aims to evaluate the genetic diversity of the species Robinia pseudoacacia L. using several populations selected from places located in the Crișana Region. The first six ISSRs tested gave distinct bands, with a total of 59 loci, of which 45 were polymorphic (63.85%). The percentage of polymorphic loci varied within populations from 33.33% to 100%. The average number of observed alleles (Na) is 1.7627 and the average effective number of alleles (Ne) is 1.4926, indicating that the effective variability is lower than the observed variability. For the Nei (h) gene diversity index, we recorded an average value of 0.2795, and for allelic entropy, the average value of the Shannon index (I) was 0.4137. The study finds a significant differentiation between populations, with a Gst coefficient value of 0.43 indicating that 43% of the variability is due to interpopulation differences. Full article
(This article belongs to the Special Issue Population Genetics and Molecular Evolution of Trees)
Show Figures

Figure 1

Back to TopTop