Integration of population genetics with oceanographic models reveals strong connectivity among coral reefs across Seychelles

珊瑚礁 珊瑚 暗礁 群体遗传学 地理 人口 海洋学 生物 生态学 渔业 进化生物学 地质学 人口学 社会学
作者
April J. Burt,Noam Vogt-Vincent,H. L. Johnson,Ashley T. Sendell‐Price,Steven Kelly,Sonya M. Clegg,Catherine E. I. Head,Nancy Bunbury,Frauke Fleischer‐Dogley,Marie-May Jeremie,Nasreen Khan,Richard H. G. Baxter,Gilberte Gendron,Christophe Mason-Parker,Rowana Walton,Lindsay A. Turnbull
出处
期刊:Scientific Reports [Springer Nature]
卷期号:14 (1)
标识
DOI:10.1038/s41598-024-55459-x
摘要

Abstract Many countries with tropical reef systems face hard choices preserving coral reefs in the face of climate change on limited budgets. One approach to maximising regional reef resilience is targeting management efforts and resources at reefs that export large numbers of larvae to other reefs. However, this requires reef connectivity to be quantified. To map coral connectivity in the Seychelles reef system we carried out a population genomic study of the Porites lutea species complex using 241 sequenced colonies from multiple islands. To identify oceanographic drivers of this connectivity and quantify variability, we further used a 2 km resolution regional ocean simulation coupled with a larval dispersal model to predict the flow of coral larvae between reef sites. Patterns of admixture and gene flow are broadly supported by model predictions, but the realised connectivity is greater than that predicted from model simulations. Both methods detected a biogeographic dispersal barrier between the Inner and Outer Islands of Seychelles. However, this barrier is permeable and substantial larval transport is possible across Seychelles, particularly for one of two putative species found in our genomic study. The broad agreement between predicted connectivity and observed genetic patterns supports the use of such larval dispersal simulations in reef system management in Seychelles and the wider region.
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