High levels of genetic diversity and population structure in the Mediterranean seagrass Posidonia oceanica at its easternmost distribution limit

Author:

Tutar Ozge12,Ruocco Miriam1ORCID,Dattolo Emanuela1,Lacorata Guglielmo34,Corrado Raffaele3,Watteaux Romain1,Iudicone Daniele1,Fach Bettina5,Procaccini Gabriele1ORCID

Affiliation:

1. Stazione Zoologica Anton Dohrn , Villa Comunale, 80121 Napoli NA , Italy

2. Department of Earth and Environmental Sciences, University Milano-Bicocca , 4- Piazza della Scienza 1 e 4, I-20126 Milano , Italy

3. Consiglio Nazionale delle Ricerche, Istituto di Scienze Marine (ISMAR) , Via del Fosso del Cavaliere 100 00133 - Roma , Italy

4. Center of Excellence of Telesensing of the Environment and Model Prediction of Severe events (CETEMPS) , via Vetoio snc (Fraz. Coppito), 67100 L’Aquila (AQ) , Italy

5. Middle East Technical University, Institute of Marine Sciences , Deniz Bilimleri Enstitüsü, Orta Doğu Teknik Üniversitesi, 33731 Erdemli/Mersin , Turkey

Abstract

Abstract High levels of genetic diversity and connectivity are crucial for the persistence of local populations, especially at the edge of species’ distribution ranges. Here, we assessed the potential and realized connectivity of populations of the Mediterranean seagrass Posidonia oceanica at its easternmost distribution using physical modelling and genetic analyses. Genetic assessments of diversity and gene flow among populations were carried out with 18 microsatellite loci, while oceanographic connectivity was assessed via Lagrangian dispersal simulations. Levels of genetic and clonal diversities were prevalent among shallow and deep sites without signs of reproductive isolation. Both approaches identified two main clusters corresponding to “Aegean” populations along the western Turkey coast and “Levantine” populations along the southern Turkey coast. Aegean populations were genetically homogeneous, connected by high levels of gene flow, whereas Levantine populations were genetically heterogeneous. Within-sea patterns of genetic connectivity did not fully overlap with those derived from physical modelling; the realized connectivity was greater than that predicted by ocean-current simulations, especially in the Aegean Sea. Lagrangian dispersion dynamics cannot necessarily explain genetic connectivity patterns among populations, which are shaped over longer temporal scales and can be affected by human activities and local environmental conditions.

Funder

Ministry of Education, University and Research

DEKOSIM

Turkish Ministry of Development

Publisher

Oxford University Press (OUP)

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

Reference59 articles.

1. A review on Posidonia oceanica (Linnaeus) Delile coverage along the Turkish coasts until 2019;Akçalı;Journal of the Black Sea/Mediterranean Environment,2019

2. New microsatellite markers for the endemic Mediterranean seagrass Posidonia oceanica;Alberto;Molecular Ecology Notes,2003

3. LOSITAN: a workbench to detect molecular adaptation based on a FST-outlier method;Antao;Bmc Bioinformatics [Electronic Resource],2008

4. A marine heatwave drives massive losses from the world's largest seagrass carbon stocks;Arias-Ortiz;Nature Climate Change,2018

5. Vicariance patterns in the Mediterranean Sea: east-west cleavage and low dispersal in the endemic seagrass Posidonia oceanica;Arnaud-Haond;Journal of Biogeography,2007

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3