Literature DB >> 27397556

High contaminant loads in Lake Apopka's riparian wetland disrupt gene networks involved in reproduction and immune function in largemouth bass.

Christopher J Martyniuk1, Nicholas J Doperalski2, Melinda S Prucha2, Ji-Liang Zhang2, Kevin J Kroll2, Roxanne Conrow3, David S Barber2, Nancy D Denslow4.   

Abstract

Lake Apopka (FL, USA) has elevated levels of some organochlorine pesticides in its sediments and a portion of its watershed has been designated a US Environmental Protection Agency Superfund site. This study assessed reproductive endpoints in Florida largemouth bass (LMB) (Micropterus salmoides floridanus) after placement into experimental ponds adjacent to Lake Apopka. LMB collected from a clean reference site (DeLeon Springs) were stocked at two periods of time into ponds constructed in former farm fields on the north shore of the lake. LMB were stocked during early and late oogenesis to determine if there were different effects of contamination on LMB that may be attributed to their reproductive stage. LMB inhabiting the ponds for ~4months had anywhere from 2 to 800 times higher contaminant load for a number of organochlorine pesticides (e.g. p, p'-DDE, methoxychlor) compared to control animals. Gonadosomatic index and plasma vitellogenin were not different between reproductively-stage matched LMB collected at reference sites compared to those inhabiting the ponds. However, plasma 17β-estradiol was lower in LMB inhabiting the Apopka ponds compared to ovary stage-matched LMB from the St. Johns River, a site used as a reference site. Sub-network enrichment analysis revealed that genes related to reproduction (granulosa function, oocyte development), endocrine function (steroid metabolism, hormone biosynthesis), and immune function (T cell suppression, leukocyte accumulation) were differentially expressed in the ovaries of LMB placed into the ponds. These data suggest that (1) LMB inhabiting the Apopka ponds showed disrupted reproduction and immune responses and that (2) gene expression profiles provided site-specific information by discriminating LMB from different macro-habitats.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Environmental genomics; Environmental monitoring; Field study; Organochlorine pesticides; Sub-network enrichment analysis

Mesh:

Substances:

Year:  2016        PMID: 27397556     DOI: 10.1016/j.cbd.2016.06.003

Source DB:  PubMed          Journal:  Comp Biochem Physiol Part D Genomics Proteomics        ISSN: 1744-117X            Impact factor:   2.674


  6 in total

1.  Tissue distribution of organochlorine pesticides in largemouth bass (Micropterus salmoides) from laboratory exposure and a contaminated lake.

Authors:  Viet D Dang; Kevin J Kroll; Samuel D Supowit; Rolf U Halden; Nancy D Denslow
Journal:  Environ Pollut       Date:  2016-07-06       Impact factor: 8.071

2.  Activated carbon as a means of limiting bioaccumulation of organochlorine pesticides, triclosan, triclocarban, and fipronil from sediments rich in organic matter.

Authors:  Viet D Dang; Kevin J Kroll; Samuel D Supowit; Rolf U Halden; Nancy D Denslow
Journal:  Chemosphere       Date:  2018-01-16       Impact factor: 7.086

Review 3.  Ecotoxico-lipidomics: An emerging concept to understand chemical-metabolic relationships in comparative fish models.

Authors:  David A Dreier; John A Bowden; Juan J Aristizabal-Henao; Nancy D Denslow; Christopher J Martyniuk
Journal:  Comp Biochem Physiol Part D Genomics Proteomics       Date:  2020-09-11       Impact factor: 2.674

4.  Steroidogenic acute regulatory protein transcription is regulated by estrogen receptor signaling in largemouth bass ovary.

Authors:  Melinda S Prucha; Christopher J Martyniuk; Nicholas J Doperalski; Kevin J Kroll; David S Barber; Nancy D Denslow
Journal:  Gen Comp Endocrinol       Date:  2019-10-31       Impact factor: 2.822

5.  Transcriptome and physiological effects of toxaphene on the liver-gonad reproductive axis in male and female largemouth bass (Micropterus salmoides).

Authors:  Christopher J Martyniuk; Alvine C Mehinto; Reyna Cristina Colli-Dula; Kevin J Kroll; Nicholas J Doperalski; David S Barber; Nancy D Denslow
Journal:  Comp Biochem Physiol Part D Genomics Proteomics       Date:  2020-09-19       Impact factor: 2.674

6.  Metagenomic Analysis Reveals Bacterial and Fungal Diversity and Their Bioremediation Potential From Sediments of River Ganga and Yamuna in India.

Authors:  Bijay Kumar Behera; Hirak Jyoti Chakraborty; Biswanath Patra; Ajaya Kumar Rout; Budheswar Dehury; Basanta Kumar Das; Dhruba Jyoti Sarkar; Pranaya Kumar Parida; Rohan Kumar Raman; Atmakuri Ramakrishna Rao; Anil Rai; Trilochan Mohapatra
Journal:  Front Microbiol       Date:  2020-10-16       Impact factor: 5.640

  6 in total

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