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Understanding the factors explaining the observed patterns of genetic diversity is an important question in evolutionary biology. We provide the first data on the genetic structure of a Mediterranean octocoral, the yellow gorgonian Eunicella cavolini, along with insights into the demographic history of this species. We sampled populations in four areas of the Mediterranean Sea: continental France, Algeria, Turkey, and the Balearic and Corsica islands. Along French coasts, three sites were sampled at two depths (20 and 40 m). We demonstrated a high genetic structure in this species (overall FST = 0.13), and most pairwise differentiation tests were significant. We did not detect any difference between depths at the same site. Clustering analyses revealed four differentiated groups corresponding to the main geographical areas. The levels of allelic richness and heterozygosity were significantly different between regions, with highest diversity in Algeria and lowest levels in Turkey. The highest levels of private allelic richness were observed in Algeria followed by Turkey. Such contrasted patterns of genetic diversity were not observed in other Mediterranean octocorals and could be the result of different evolutionary histories. We also provide new empirical evidence of contrasting results between tests and model‐based studies of demographic history. Our results have important consequences for the management of this species.

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“…The correlation was tested with a Mantel test ( n = 10 000 permutations) in IBDWS 3.16 (Jensen, Bohonak, & Kelley, 2005). …”

Section: Methodsmentioning

confidence: 99%

Contrasted levels of genetic diversity in a benthic Mediterranean octocoral: Consequences of different demographic histories?

Masmoudi

Chaoui

Topçu

et al. 2016

Ecology and Evolution

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“…Given our use of microsatellites, we used CoDiDi 1.0 (Correlation between Diversity and Differentiation; Wang 2015) to ensure that F ST estimates were not underestimating population differentiation. Among other things, CoDiDi is used to test for a correlation between G ST and H S values, allowing for confidence in reporting population differentiation statistics (Wang 2015 Jensen et al 2005) to investigate a relationship between genetic and geographic distance with 10,000 randomizations. Again, pairwise geographic distances were determined by measuring the distance between the center of each population.…”

Section: Microsatellite Data Analysesmentioning

confidence: 99%

“…The number of permutations was set at 10,000 at P ¼ 0.05. To investigate the relationship between genetic (F ST /(1 À F ST )) and geographic distances, we tested for isolation-bydistance (IBD) using Isolation By Distance Web Services 3.23 (IBDWS; Jensen et al 2005). Pairwise geographic distances were determined by measuring the distance between the center of each population.…”

Section: Mitochondrial Dna Data Analysesmentioning

confidence: 99%

How connectivity shapes genetic structure during range expansion: Insights from the Virginia's Warbler

Bubac

Spellman

2016

The Auk

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“…IBD v3.23 (Jensen, Bohonak, & Kelly, 2005) was used to examine the correlation between F ST /(1 − F ST ) and the logarithm of the geographic distance between localities. Using a geographic information system (GIS) in ArcGIS software, geographic distances between localities were calculated as the minimum distance by sea between each other.…”

Section: Methodsmentioning

confidence: 99%

“…Similar to microsatellites, a Mantel test based on the mtDNA data set was performed using IBD v2.23 (Jensen et al., 2005). …”

Section: Methodsmentioning

confidence: 99%

Patterns of population structure at microsatellite and mitochondrial DNA markers in the franciscana dolphin (Pontoporia blainvillei)

Gariboldi

Túnez

Failla³

et al. 2016

Ecology and Evolution

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The franciscana dolphin, Pontorporia blainvillei, is an endemic cetacean of the Atlantic coast of South America. Its coastal distribution and restricted movement patterns make this species vulnerable to anthropogenic factors, particularly to incidental bycatch. We used mitochondrial DNA control region sequences, 10 microsatellites, and sex data to investigate the population structure of the franciscana dolphin from a previously established management area, which includes the southern edge of its geographic range. F‐statistics and Bayesian cluster analyses revealed the existence of three genetically distinct populations. Based on the microsatellite loci, similar levels of genetic variability were found in the area; 13 private alleles were found in Monte Hermoso, but none in Claromecó. When considering the mitochondrial DNA control region sequences, lower levels of genetic diversity were found in Monte Hermoso, when compared to the other localities. Low levels of gene flow were found between most localities. Additionally, no evidence of isolation by distance nor sex‐biased dispersal was detected in the study area. In view of these results showing that populations from Necochea/Claromecó, Monte Hermoso, and Río Negro were found to be genetically distinct and the available genetic information for the species previously published, Argentina would comprise five distinct populations: Samborombón West/Samborombón South, Cabo San Antonio/Buenos Aires East, Necochea/Claromecó/Buenos Aires Southwest, Monte Hermoso, and Río Negro. In order to ensure the long‐term survival of the franciscana dolphin, management and conservation strategies should be developed considering each of these populations as different management units.

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Cited by 1,231 publications

References 8 publications

Contrasted levels of genetic diversity in a benthic Mediterranean octocoral: Consequences of different demographic histories?

Contrasted levels of genetic diversity in a benthic Mediterranean octocoral: Consequences of different demographic histories?

How connectivity shapes genetic structure during range expansion: Insights from the Virginia's Warbler

Patterns of population structure at microsatellite and mitochondrial DNA markers in the franciscana dolphin (Pontoporia blainvillei)

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