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Journal of Experimental Marine Biology and Ecology
Article . 2007 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Contribution of genetics and genomics to seagrass biology and conservation

Authors: Thorsten B. H. Reusch; Gabriele Procaccini; Jeanine L. Olsen;

Contribution of genetics and genomics to seagrass biology and conservation

Abstract

Genetic diversity is one of three forms of biodiversity recognized by the IUCN as deserving conservation along with species and ecosystems. Seagrasses provide all three levels in one. This review addresses the latest advances in our understanding of seagrass population genetics and genomics within the wider context of ecology and conservation. Case studies are used from the most widely studied, northern hemisphere species Zostera marina, Z. noltii, Posidonia oceanica and Cytnodocea nodosa. We begin with an analysis of the factors that have shaped population structure across a range of spatial and temporal scales including basin-level phylogeography, landscape-scale connectivity studies, and finally, local-scale analyses at the meadow level-including the effects of diversity, clonality and mating system. Genetic diversity and clonal architecture of seagrass meadows differ within and among species at virtually all scales studied. Recent experimental studies that have manipulated seagrass genetic biodiversity indicate that genotypic diversity matters in an immediate ecological context, and enhances population growth, resistance and resilience to perturbation, with positive effects on abundance and diversity of the larger community. In terms of the longer term, evolutionary consequences of genetic/genotypic diversity in seagrass beds, our knowledge remains meagre. It is here that the new tools of ecogenomics will assist in unravelling the genetic basis for adaptation to both biotic and abiotic change. Gene expression studies will further assist in the assessment of physiological performance which may provide an early warning system under complex disturbance regimes that seagrasses are at or near their tolerance thresholds. At the most fundamental level, ecological interactions of seagrasses with their environment depends on the genetic architecture and response diversity underlying critical traits. Hence, given the rapid progress in data acquisition and analysis, we predict an increasing role of genetic and genomic tools for seagrass ecology and conservation. (C) 2007 Elsevier B.V. All rights reserved.

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Keywords

CYMODOCEA-NODOSA, ESTs, seagrass, ENDEMIC MEDITERRANEAN SEAGRASS, ecogenomics, OUTBREEDING DEPRESSION, MICROSATELLITE MARKERS, microsatellites, GENOTYPIC DIVERSITY, MULTILOCUS GENOTYPES, POSIDONIA-OCEANICA, conservation genetics, EELGRASS ZOSTERA-MARINA, POPULATION-GENETICS, molecular ecology, RAPID CLIMATE-CHANGE

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    141
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
141
Top 10%
Top 10%
Top 10%