Application of Genetical Markers for Assessment of Population Structure of Fish Species
A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Marine Biology".
Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 532
Special Issue Editors
Interests: molecular taxonomy; population genetics; invasive species; marine biology
Interests: fisheries; fish/shellfish biodiversity; stress ecology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Knowledge of genetic structure is key to understanding species connectivity patterns and to defining the spatiotemporal scales over which conservation management plans should be designed and implemented. The distribution of genetic diversity (within and among populations) greatly influences species ability to cope with and adapt to environmental changes, ultimately determining their long-term resilience to ecological disturbances [1]. Higher genetic diversity leads to greater adaptation possibilities in the challenging times of climate change and overfishing [2]. Fish stocks represent fundamental units in fisheries management, and their identification, especially in mixed fisheries, represents one of the primary challenges to ensure sustainable harvest [3]. Most stocks with validated assessments are still reported as being fished outside safe biological limits.
DNA markers offer possibility to identify fish population structure and infer the demographic history of populations [4]. A key question for the application of genetic methods to fisheries management is assessing the level of divergent populations that is required to justify their separate management [5]. Various molecular markers are now being used in fisheries and aquaculture.
Assessment of population structure and genetic diversity is essential for both conservation and management strategies of highly exploited and endangered species [6].
Dr. Petya P. Ivanova
Dr. Violin Raykov
Guest Editors
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Keywords
- population genetics
- molecular markers
- fish species
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