Accessibility navigation


Analysis of Crassostrea gasar transcriptome reveals candidate genes involved in metal metabolism

Ferreira, C. P., Moreira, R. S., Toledo-Silva, G., Schroeder, D. C., Bainy, A. C. D. and Lüchmann, K. H. (2022) Analysis of Crassostrea gasar transcriptome reveals candidate genes involved in metal metabolism. Chemosphere, 307 (Pt 4). 136009. ISSN 0045-6535

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1016/j.chemosphere.2022.136009

Abstract/Summary

Oysters have been extensively employed for monitoring of metal pollution in dynamic aquatic ecosystems. Therefore, the use of specific biomarkers can assist in discriminating the ecotoxicological implications of different elements in such complex environments. In this study, we revisited the sequencing data of gills and digestive glands transcripts in the mangrove oyster Crassostrea gasar and generated a reference transcriptome assembly from multiple assemblers, seven in total. Overall, we were able to identify a total of 11,917 transcripts, with 86.6% of them being functionally annotated and 1.4 times more than the first annotation. We screened the annotated transcripts to identify genes potentially involved in metals' transport, storage, and detoxification. Our findings included genes related to Zn distribution in cells (Zn transporters - ZIP, ZnT), metallothionein (MT-I and MT-IV), GSH biosynthesis, Ca transporter (NCX and ATP2B), and Cu distribution in cells (ATP7, ATOX1, CCS, and laccase-like). These results provided a reference transcriptome for additional insights into the transcriptional profile of C. gasar and other bivalves to better understand the molecular pathways underpinning metal tolerance and susceptibility. The study also provided an auxiliary tool for biomonitoring metal contamination in dynamic environments as estuaries.

Item Type:Article
Refereed:Yes
Divisions:Life Sciences > School of Biological Sciences > Biomedical Sciences
ID Code:107029
Uncontrolled Keywords:Metal-metabolism, Biomarkers, Sentinel organisms, Oysters
Publisher:Elsevier

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation