The Contribution of Genetic and Genomic Tools in Diversity Conservation: The Case of Endemic Plants of Greece

Author:

Liveri Eleni1ORCID,Passa Kondylia2,Papasotiropoulos Vasileios3ORCID

Affiliation:

1. Department of Biology, University of Patras, GR-26504 Patras, Greece

2. Department of Agriculture, University of Patras, GR-30200 Messolonghi, Greece

3. Laboratory of Plant Breeding and Biometry, Department of Crop Science, Agricultural University of Athens, GR-11855 Athens, Greece

Abstract

The conservation of endemic plant species has come into the global spotlight, not only because of their contribution to biodiversity but also their vulnerability and high extinction risk due to environmental and anthropogenic threats. Based on these developments, it is now essential to monitor and protect these species by applying integrated conservation strategies, especially in view of climate change, which is one of the most severe threats to plants. Genetic and genomic tools provide new potential in assessing and quantifying genetic diversity and thus can be utilized to devise conservation strategies and contribute to biodiversity conservation efforts. Greece comprises a plant biodiversity hotspot in the Mediterranean Basin with a wide variety of rare, threatened, and endemic plant taxa. In this review, we examine several cases where a broad spectrum of genetic tools has been utilized so far in the diversity assessment and conservation management of Greek Endemic Plants (GEPs). Following an extensive database search, we have identified and included in our final data collection 19 studies concerning 32 GEPs for which molecular markers have been used for the determination of population genetic structure and diversity assessment, while at the same time, the research outcomes have been taken into consideration for conservation management. The limited application of genetic and genomic tools in GEP management is demonstrated, while the significance of implementing a comprehensive conservation strategy that will integrate genetic analyses and the data derived therein is also highlighted.

Publisher

MDPI AG

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