Literature DB >> 33574384

Shallow seamounts represent speciation islands for circumglobal yellowtail Seriola lalandi.

Sven Kerwath1,2,3, Rouvay Roodt-Wilding4, Toufiek Samaai5,6, Henning Winker7, Wendy West7, Sheroma Surajnarayan8, Belinda Swart4, Aletta Bester-van der Merwe4, Albrecht Götz9, Stephen Lamberth7,10, Christopher Wilke7.   

Abstract

Phenotypic plasticity in life-history traits in response to heterogeneous environments has been observed in a number of fishes. Conversely, genetic structure has recently been detected in even the most wide ranging pelagic teleost fish and shark species with massive dispersal potential, putting into question previous expectations of panmixia. Shallow oceanic seamounts are known aggregation sites for pelagic species, but their role in genetic structuring of widely distributed species remains poorly understood. The yellowtail kingfish (Seriola lalandi), a commercially valuable, circumglobal, epipelagic fish species occurs in two genetically distinct Southern Hemisphere populations (South Pacific and southern Africa) with low levels of gene-flow between the regions. Two shallow oceanic seamounts exist in the ocean basins around southern Africa; Vema and Walters Shoal in the Atlantic and Indian oceans, respectively. We analysed rare samples from these remote locations and from the South African continental shelf to assess genetic structure and population connectivity in S. lalandi and investigated life-history traits by comparing diet, age, growth and maturation among the three sites. The results suggest that yellowtail from South Africa and the two seamounts are genetically and phenotypically distinct. Rather than mere feeding oases, we postulate that these seamounts represent islands of breeding populations with site-specific adaptations.

Entities:  

Year:  2021        PMID: 33574384     DOI: 10.1038/s41598-021-82501-z

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  16 in total

1.  MICROSATELIGHT--pipeline to expedite microsatellite analysis.

Authors:  Ferran Palero; Fernando González-Candelas; Marta Pascual
Journal:  J Hered       Date:  2010-12-02       Impact factor: 2.645

2.  Estimation of average heterozygosity and genetic distance from a small number of individuals.

Authors:  M Nei
Journal:  Genetics       Date:  1978-07       Impact factor: 4.562

3.  G(ST) and its relatives do not measure differentiation.

Authors:  Lou Jost
Journal:  Mol Ecol       Date:  2008-09       Impact factor: 6.185

4.  Genetic structure and history of populations of the deep-sea fish Helicolenus dactylopterus (Delaroche, 1809) inferred from mtDNA sequence analysis.

Authors:  M A Aboim; G M Menezes; T Schlitt; A D Rogers
Journal:  Mol Ecol       Date:  2005-04       Impact factor: 6.185

5.  genepop'007: a complete re-implementation of the genepop software for Windows and Linux.

Authors:  François Rousset
Journal:  Mol Ecol Resour       Date:  2008-01       Impact factor: 7.090

6.  THE EVOLUTION OF PHENOTYPIC PLASTICITY IN LIFE-HISTORY TRAITS: PREDICTIONS OF REACTION NORMS FOR AGE AND SIZE AT MATURITY.

Authors:  Stephen C Stearns; Jacob C Koella
Journal:  Evolution       Date:  1986-09       Impact factor: 3.694

7.  Strong trans-Pacific break and local conservation units in the Galapagos shark (Carcharhinus galapagensis) revealed by genome-wide cytonuclear markers.

Authors:  Diana A Pazmiño; Gregory E Maes; Madeline E Green; Colin A Simpfendorfer; E Mauricio Hoyos-Padilla; Clinton J A Duffy; Carl G Meyer; Sven E Kerwath; Pelayo Salinas-de-León; Lynne van Herwerden
Journal:  Heredity (Edinb)       Date:  2018-01-11       Impact factor: 3.821

8.  Global and New Caledonian patterns of population genetic variation in the deep-sea splendid alfonsino, Beryx splendens, inferred from mtDNA.

Authors:  Lauriana Lévy-Hartmann; Valérie Roussel; Yves Letourneur; Daniel Y Sellos
Journal:  Genetica       Date:  2012-04-19       Impact factor: 1.082

Review 9.  Genetics in geographically structured populations: defining, estimating and interpreting F(ST).

Authors:  Kent E Holsinger; Bruce S Weir
Journal:  Nat Rev Genet       Date:  2009-09       Impact factor: 53.242

10.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

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