Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 4 von 216

Details

Autor(en) / Beteiligte
Titel
Genomic models predict successful coral adaptation if future ocean warming rates are reduced
Ist Teil von
  • Science advances, 2017-11, Vol.3 (11), p.e1701413-e1701413
Ort / Verlag
United States: American Association for the Advancement of Science
Erscheinungsjahr
2017
Link zum Volltext
Quelle
Free E-Journal (出版社公開部分のみ)
Beschreibungen/Notizen
  • Population genomic surveys suggest that climate-associated genetic variation occurs widely across species, but whether it is sufficient to allow population persistence via evolutionary adaptation has seldom been quantified. To ask whether rapid adaptation in reef-building corals can keep pace with future ocean warming, we measured genetic variation at predicted warm-adapted loci and simulated future evolution and persistence in a high-latitude population of corals from Rarotonga, Cook Islands. Alleles associated with thermal tolerance were present but at low frequencies in this cooler, southerly locality. Simulations based on predicted ocean warming in Rarotonga showed rapid evolution of heat tolerance resulting in population persistence under mild warming scenarios consistent with low CO emission plans, RCP2.6 and RCP4.5. Under more severe scenarios, RCP6.0 and RCP8.5, adaptation was not rapid enough to prevent extinction. Population adaptation was faster for models based on smaller numbers of additive loci that determine thermal tolerance and for higher population growth rates. Finally, accelerated migration via transplantation of thermally tolerant individuals (1 to 5%/year) sped adaptation. These results show that cool-water corals can adapt to warmer oceans but only under mild scenarios resulting from international emissions controls. Incorporation of genomic data into models of species response to climate change offers a promising method for estimating future adaptive processes.
Sprache
Englisch
Identifikatoren
ISSN: 2375-2548
eISSN: 2375-2548
DOI: 10.1126/sciadv.1701413
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5665595

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX