Next Article in Journal
On a Cold Night: Transcriptomics of Grapevine Flower Unveils Signal Transduction and Impacted Metabolism
Previous Article in Journal
Chemerin Isoforms and Activity in Obesity
Article Menu
Issue 5 (March-1) cover image

Export Article

Open AccessArticle

Evolutionary Toxicogenomics of the Striped Killifish (Fundulus majalis) in the New Bedford Harbor (Massachusetts, USA)

1
Marine Biology and Ecology, Rosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, Miami, FL 33149, USA
2
Dipartimento di Scienze della Vita e dell‘Ambiente, Universita‘ Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy
3
Laboratory of Integrative Biology of Marine Models, CNRS-Sorbonne University, Station Biologique de Roscoff, Place Georges Teissier, 29680 Roscoff, France
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2019, 20(5), 1129; https://doi.org/10.3390/ijms20051129
Received: 17 January 2019 / Revised: 18 February 2019 / Accepted: 23 February 2019 / Published: 5 March 2019
(This article belongs to the Section Molecular Genetics and Genomics)
  |  
PDF [2619 KB, uploaded 9 March 2019]
  |     |  

Abstract

In this paper, we used a Genotyping-by-Sequencing (GBS) approach to find and genotype more than 4000 genome-wide SNPs (Single Nucleotide Polymorphisms) from striped killifish exposed to a variety of polychlorinated biphenyls (PCBs) and other aromatic pollutants in New Bedford Harbor (NBH, Massachusetts, USA). The aims of this study were to identify the genetic consequences of exposure to aquatic pollutants and detect genes that may be under selection. Low genetic diversity (HE and π) was found in the site exposed to the highest pollution level, but the pattern of genetic diversity did not match the pollution levels. Extensive connectivity was detected among sampling sites, which suggests that balanced gene flow may explain the lack of genetic variation in response to pollution levels. Tests for selection identified 539 candidate outliers, but many of the candidate outliers were not shared among tests. Differences among test results likely reflect different test assumptions and the complex pollutant mixture. Potentially, selectively important loci are associated with 151 SNPs, and enrichment analysis suggests a likely involvement of these genes with pollutants that occur in NBH. This result suggests that selective processes at genes targeted by pollutants may be occurring, even at a small geographical scale, and may allow the local striped killifish to resist the high pollution levels. View Full-Text
Keywords: candidate outliers; migration; evolutionary genomics; GBS; SNPs; toxicant resistance candidate outliers; migration; evolutionary genomics; GBS; SNPs; toxicant resistance
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

Ruggeri, P.; Du, X.; Crawford, D.L.; Oleksiak, M.F. Evolutionary Toxicogenomics of the Striped Killifish (Fundulus majalis) in the New Bedford Harbor (Massachusetts, USA). Int. J. Mol. Sci. 2019, 20, 1129.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Int. J. Mol. Sci. EISSN 1422-0067 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top