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Abstract

Forest Genetic Monitoring in a Biodiversity Hotspot †

by
Filippos A. Aravanopoulos
1,2,*,
Nikolaos Tourvas
1,
Ermioni Malliarou
1,
Fani G. Lyrou
1,
Vasiliki-Maria Kotina
1 and
Anna-Maria Farsakoglou
1
1
Laboratory of Forest Genetics, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
2
Hellenic Agricultural Academy, 11855 Athens, Greece
*
Author to whom correspondence should be addressed.
Presented at the 3rd International Electronic Conference on Forests—Exploring New Discoveries and New Directions in Forests, 15–31 October 2022; Available online: https://iecf2022.sciforum.net/.
Environ. Sci. Proc. 2022, 22(1), 33; https://doi.org/10.3390/IECF2022-13127
Published: 31 October 2022

Abstract

:
The genetic monitoring of forest trees is of the utmost importance for securing the maintenance of species’ adaptive potential. Genetic monitoring, the quantification of temporal changes in a population’s genetic variation and structure, introduces prognosis and assists in defining tools for the management of genetic resources. Forest genetic monitoring (FGM) is imperative in biodiversity hotspots such as Greece, one of the most species-rich European countries, where >7000 native plant taxa (~20% endemics) exist and 28% of its land base is included in the Natura 2000 Special Areas of Conservation network. Moreover, (meta-)analyses of genetic data have shown that Greek forests’ tree populations present significantly higher values of polymorphism and differentiation compared to the average values reported in the international literature. FGM studies in Greece involve the following species: Abies borissi regis, Castanea sativa, Fagus sylvatica, Quercus petraea, Q. robur, Pinus nigra, and Prunus avium. FGM uses a genealogical approach and employs 11–26 Simple Sequence Repeat (SSR) loci in different cohorts (mature and juvenile trees), while the average time internal between assessments is 12.9 years. The results so far for A. borissi regis and F. sylvatica indicate a maintenance of genetic diversity over time, but with a slight drop of Ne in the juvenile cohort of hybrid firs compared to the mature trees.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/IECF2022-13127/s1.

Author Contributions

Conceptualization, F.A.A.; Methodology, F.A.A., E.M., N.T., A.-M.F.; Software, F.A.A., E.M., N.T.; Writing-original draft preparation, F.A.A.; Writing-review and editing, F.G.L., V.-M.K., N.T., A.-M.F.; Supervision, F.A.A. All authors have read and agreed to the published version of the manuscript.

Funding

The research was partially supported by project Crown Genome, funded by the General Secretariat for Research and Innovation, Greece and the Aristotle University of Thessaloniki. It has also been supported by the European Union’s LIFE financial mechanism (LIFEGENMON project, LIFE13 ENV/SI/00148).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Raw data will become available at the Dryad Digital Repository upon completion of this study.

Conflicts of Interest

The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Aravanopoulos, F.A.; Tourvas, N.; Malliarou, E.; Lyrou, F.G.; Kotina, V.-M.; Farsakoglou, A.-M. Forest Genetic Monitoring in a Biodiversity Hotspot. Environ. Sci. Proc. 2022, 22, 33. https://doi.org/10.3390/IECF2022-13127

AMA Style

Aravanopoulos FA, Tourvas N, Malliarou E, Lyrou FG, Kotina V-M, Farsakoglou A-M. Forest Genetic Monitoring in a Biodiversity Hotspot. Environmental Sciences Proceedings. 2022; 22(1):33. https://doi.org/10.3390/IECF2022-13127

Chicago/Turabian Style

Aravanopoulos, Filippos A., Nikolaos Tourvas, Ermioni Malliarou, Fani G. Lyrou, Vasiliki-Maria Kotina, and Anna-Maria Farsakoglou. 2022. "Forest Genetic Monitoring in a Biodiversity Hotspot" Environmental Sciences Proceedings 22, no. 1: 33. https://doi.org/10.3390/IECF2022-13127

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