Environmental gradients predict the genetic population structure of a coral reef fish in the Red Sea

Handle URI:
http://hdl.handle.net/10754/563343
Title:
Environmental gradients predict the genetic population structure of a coral reef fish in the Red Sea
Authors:
Nanninga, Gerrit B. ( 0000-0002-0134-1689 ) ; Saenz Agudelo, Pablo; Manica, Andrea; Berumen, Michael L. ( 0000-0003-2463-2742 )
Abstract:
The relatively recent fields of terrestrial landscape and marine seascape genetics seek to identify the influence of biophysical habitat features on the spatial genetic structure of populations or individuals. Over the last few years, there has been accumulating evidence for the effect of environmental heterogeneity on patterns of gene flow and connectivity in marine systems. Here, we investigate the population genetic patterns of an anemonefish, Amphiprion bicinctus, along the Saudi Arabian coast of the Red Sea. We collected nearly one thousand samples from 19 locations, spanning approximately 1500 km, and genotyped them at 38 microsatellite loci. Patterns of gene flow appeared to follow a stepping-stone model along the northern and central Red Sea, which was disrupted by a distinct genetic break at a latitude of approximately 19°N. The Red Sea is characterized by pronounced environmental gradients along its axis, roughly separating the northern and central from the southern basin. Using mean chlorophyll-a concentrations as a proxy for this gradient, we ran tests of isolation by distance (IBD, R2 = 0.52) and isolation by environment (IBE, R2 = 0.64), as well as combined models using partial Mantel tests and multiple matrix regression with randomization (MMRR). We found that genetic structure across our sampling sites may be best explained by a combined model of IBD and IBE (Mantel: R2 = 0.71, MMRR: R2 = 0.86). Our results highlight the potential key role of environmental patchiness in shaping patterns of gene flow in species with pelagic larval dispersal. We support growing calls for the integration of biophysical habitat characteristics into future studies of population genetic structure. © 2014 John Wiley & Sons Ltd.
KAUST Department:
Red Sea Research Center (RSRC); Biological and Environmental Sciences and Engineering (BESE) Division; Marine Science Program; Reef Ecology Lab
Publisher:
Wiley-Blackwell
Journal:
Molecular Ecology
Issue Date:
20-Jan-2014
DOI:
10.1111/mec.12623
PubMed ID:
24320929
Type:
Article
ISSN:
09621083
Appears in Collections:
Articles; Red Sea Research Center (RSRC); Marine Science Program; Biological and Environmental Sciences and Engineering (BESE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorNanninga, Gerrit B.en
dc.contributor.authorSaenz Agudelo, Pabloen
dc.contributor.authorManica, Andreaen
dc.contributor.authorBerumen, Michael L.en
dc.date.accessioned2015-08-03T11:46:13Zen
dc.date.available2015-08-03T11:46:13Zen
dc.date.issued2014-01-20en
dc.identifier.issn09621083en
dc.identifier.pmid24320929en
dc.identifier.doi10.1111/mec.12623en
dc.identifier.urihttp://hdl.handle.net/10754/563343en
dc.description.abstractThe relatively recent fields of terrestrial landscape and marine seascape genetics seek to identify the influence of biophysical habitat features on the spatial genetic structure of populations or individuals. Over the last few years, there has been accumulating evidence for the effect of environmental heterogeneity on patterns of gene flow and connectivity in marine systems. Here, we investigate the population genetic patterns of an anemonefish, Amphiprion bicinctus, along the Saudi Arabian coast of the Red Sea. We collected nearly one thousand samples from 19 locations, spanning approximately 1500 km, and genotyped them at 38 microsatellite loci. Patterns of gene flow appeared to follow a stepping-stone model along the northern and central Red Sea, which was disrupted by a distinct genetic break at a latitude of approximately 19°N. The Red Sea is characterized by pronounced environmental gradients along its axis, roughly separating the northern and central from the southern basin. Using mean chlorophyll-a concentrations as a proxy for this gradient, we ran tests of isolation by distance (IBD, R2 = 0.52) and isolation by environment (IBE, R2 = 0.64), as well as combined models using partial Mantel tests and multiple matrix regression with randomization (MMRR). We found that genetic structure across our sampling sites may be best explained by a combined model of IBD and IBE (Mantel: R2 = 0.71, MMRR: R2 = 0.86). Our results highlight the potential key role of environmental patchiness in shaping patterns of gene flow in species with pelagic larval dispersal. We support growing calls for the integration of biophysical habitat characteristics into future studies of population genetic structure. © 2014 John Wiley & Sons Ltd.en
dc.publisherWiley-Blackwellen
dc.subjectconnectivityen
dc.subjectcoral reef fishen
dc.subjectgenetic structureen
dc.subjectisolation by distanceen
dc.subjectisolation by environmenten
dc.subjectmicrosatellitesen
dc.titleEnvironmental gradients predict the genetic population structure of a coral reef fish in the Red Seaen
dc.typeArticleen
dc.contributor.departmentRed Sea Research Center (RSRC)en
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.contributor.departmentMarine Science Programen
dc.contributor.departmentReef Ecology Laben
dc.identifier.journalMolecular Ecologyen
dc.relation.referencesNanninga, G. B., Saenz-Agudelo, P., Andrea, M., & Berumen, M. L. (2013). Data from: Environmental gradients predict the genetic population structure of a coral reef fish in the Red Sea (Version 1) [Data set]. Dryad Digital Repository. https://doi.org/10.5061/dryad.47vh3en
dc.relation.referencesDOI:10.5061/DRYAD.47VH3en
dc.relation.referencesHANDLE:http://hdl.handle.net/10754/624171en
dc.contributor.institutionDepartment of Zoology, University of Cambridge, Cambridge CB2 3EJ, United Kingdomen
dc.contributor.institutionBiology Department, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, United Statesen
kaust.authorNanninga, Gerrit B.en
kaust.authorSaenz Agudelo, Pabloen
kaust.authorBerumen, Michael L.en

Related articles on PubMed

All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.