Literature DB >> 33450911

Targeted Sequencing of Mitochondrial Genes Reveals Signatures of Molecular Adaptation in a Nearly Panmictic Small Pelagic Fish Species.

Miguel Baltazar-Soares1, André Ricardo de Araújo Lima1, Gonçalo Silva1.   

Abstract

Ongoing climatic changes, with predictable impacts on marine environmental conditions, are expected to trigger organismal responses. Recent evidence shows that, in some marine species, variation in mitochondrial genes involved in the aerobic conversion of oxygen into ATP at the cellular level correlate with gradients of sea surface temperature and gradients of dissolved oxygen. Here, we investigated the adaptive potential of the European sardine Sardina pilchardus populations offshore the Iberian Peninsula. We performed a seascape genetics approach that consisted of the high throughput sequencing of mitochondria's ATP6, COI, CYTB and ND5 and five microsatellite loci on 96 individuals coupled with environmental information on sea surface temperature and dissolved oxygen across five sampling locations. Results show that, despite sardines forming a nearly panmictic population around Iberian Peninsula, haplotype frequency distribution can be explained by gradients of minimum sea surface temperature and dissolved oxygen. We further identified that the frequencies of the most common CYTB and ATP6 haplotypes negatively correlate with minimum sea surface temperature across the sampled area, suggestive of a signature of selection. With signatures of selection superimposed on highly connected populations, sardines may be able to follow environmental optima and shift their distribution northwards as a response to the increasing sea surface temperatures.

Entities:  

Keywords:  OXPHOS complex; adaptive potential; climate change; small pelagic fishes

Year:  2021        PMID: 33450911      PMCID: PMC7828364          DOI: 10.3390/genes12010091

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.096


  40 in total

1.  Not so different after all: a comparison of methods for detecting amino acid sites under selection.

Authors:  Sergei L Kosakovsky Pond; Simon D W Frost
Journal:  Mol Biol Evol       Date:  2005-02-09       Impact factor: 16.240

2.  Influence of ocean winds on the pelagic ecosystem in upwelling regions.

Authors:  Ryan R Rykaczewski; David M Checkley
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-04       Impact factor: 11.205

3.  DnaSP v5: a software for comprehensive analysis of DNA polymorphism data.

Authors:  P Librado; J Rozas
Journal:  Bioinformatics       Date:  2009-04-03       Impact factor: 6.937

Review 4.  Climate change and dead zones.

Authors:  Andrew H Altieri; Keryn B Gedan
Journal:  Glob Chang Biol       Date:  2014-11-10       Impact factor: 10.863

Review 5.  Aquatic Landscape Genomics and Environmental Effects on Genetic Variation.

Authors:  Jared A Grummer; Luciano B Beheregaray; Louis Bernatchez; Brian K Hand; Gordon Luikart; Shawn R Narum; Eric B Taylor
Journal:  Trends Ecol Evol       Date:  2019-03-20       Impact factor: 17.712

6.  Adaptive phenotypic plasticity and local adaptation for temperature tolerance in freshwater zooplankton.

Authors:  Lev Y Yampolsky; Tobias M M Schaer; Dieter Ebert
Journal:  Proc Biol Sci       Date:  2013-12-18       Impact factor: 5.349

Review 7.  Mitonuclear Compensatory Coevolution.

Authors:  Geoffrey E Hill
Journal:  Trends Genet       Date:  2020-04-11       Impact factor: 11.639

Review 8.  Thermal performance curves, phenotypic plasticity, and the time scales of temperature exposure.

Authors:  Patricia M Schulte; Timothy M Healy; Nann A Fangue
Journal:  Integr Comp Biol       Date:  2011-08-13       Impact factor: 3.326

9.  Signals of selection in the mitogenome provide insights into adaptation mechanisms in heterogeneous habitats in a widely distributed pelagic fish.

Authors:  Wilson Sebastian; Sandhya Sukumaran; P U Zacharia; K R Muraleedharan; P K Dinesh Kumar; A Gopalakrishnan
Journal:  Sci Rep       Date:  2020-06-03       Impact factor: 4.379

10.  Fast and accurate long-read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2010-01-15       Impact factor: 6.937

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  1 in total

1.  Evolutionary Dynamics of Wild Populations.

Authors:  Delphine Legrand; Simon Blanchet
Journal:  Genes (Basel)       Date:  2021-05-19       Impact factor: 4.096

  1 in total

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