Literature DB >> 22165990

Taking microarrays to the field: differential hepatic gene expression of caged fathead minnows from Nebraska watersheds.

Marlo K Sellin Jeffries1, Alvine C Mehinto, Barbara J Carter, Nancy D Denslow, Alan S Kolok.   

Abstract

This study aimed to evaluate the utility of microarrays as a biomonitoring tool in field studies. A 15,000-oligonucleotide microarray was used to measure the hepatic gene expression of fathead minnows (Pimephales promelas) caged in four Nebraska, USA watersheds - the Niobrara and Dismal Rivers (low-impact agricultural sites) and the Platte and Elkhorn Rivers (high-impact agricultural sites). Gene expression profiles were site specific and fish from the low- and high-impact sites aggregated into distinct groups. Over 1500 genes were differentially regulated between fish from the low- and high-impact sites. Many gene expression differences (1218) were also noted when the Platte and Elkhorn minnows were compared to one another and Platte fish experienced a higher degree of transcript alterations than Elkhorn fish. These findings indicate that there are differences between the low-impact and high-impact sites, as well as between the two high-impact sites. Historical water quality data support these results as only trace levels of agrichemicals have been detected at the low-impact sites, while substantial levels of agrichemicals have been reported at the high-impact sites with agrichemical loads at the Platte generally exceeding those at the Elkhorn. Overall, this study demonstrates that microarrays can be utilized to discriminate sites with different contaminant loads from one another.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22165990     DOI: 10.1021/es2039097

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  5 in total

1.  Prioritization of Contaminants of Emerging Concern in Wastewater Treatment Plant Discharges Using Chemical:Gene Interactions in Caged Fish.

Authors:  Edward J Perkins; Tanwir Habib; Barbara L Escalon; Jenna E Cavallin; Linnea Thomas; Matthew Weberg; Megan N Hughes; Kathleen M Jensen; Michael D Kahl; Daniel L Villeneuve; Gerald T Ankley; Natàlia Garcia-Reyero
Journal:  Environ Sci Technol       Date:  2017-07-17       Impact factor: 9.028

2.  Evaluation of a field-portable DNA microarray platform and nucleic acid amplification strategies for the detection of arboviruses, arthropods, and bloodmeals.

Authors:  Nathan D Grubaugh; Lawrence N Petz; Vanessa R Melanson; Scott S McMenamy; Michael J Turell; Lewis S Long; Sarah E Pisarcik; Ampornpan Kengluecha; Boonsong Jaichapor; Monica L O'Guinn; John S Lee
Journal:  Am J Trop Med Hyg       Date:  2012-12-18       Impact factor: 2.345

Review 3.  The role of biomarkers in the assessment of aquatic ecosystem health.

Authors:  Sharon E Hook; Evan P Gallagher; Graeme E Batley
Journal:  Integr Environ Assess Manag       Date:  2014-05-12       Impact factor: 2.992

4.  Applications for next-generation sequencing in fish ecotoxicogenomics.

Authors:  Alvine C Mehinto; Christopher J Martyniuk; Daniel J Spade; Nancy D Denslow
Journal:  Front Genet       Date:  2012-04-25       Impact factor: 4.599

5.  Transcriptomic Profiles in Zebrafish Liver Permit the Discrimination of Surface Water with Pollution Gradient and Different Discharges.

Authors:  Zhou Zhang; Wei Liu; Yuanyuan Qu; Xie Quan; Ping Zeng; Mengchang He; Yanmei Zhou; Ruixia Liu
Journal:  Int J Environ Res Public Health       Date:  2018-08-03       Impact factor: 3.390

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.