Transcriptome analysis of avian livers reveals different molecular changes to three urban pollutants: soot, artificial light at night and noise.

ALAN gene expression particulate matter sensory pollution zebra finch

Journal

Environmental pollution (Barking, Essex : 1987)
ISSN: 1873-6424
Titre abrégé: Environ Pollut
Pays: England
ID NLM: 8804476

Informations de publication

Date de publication:
02 Jul 2024
Historique:
received: 23 01 2024
revised: 18 06 2024
accepted: 25 06 2024
medline: 5 7 2024
pubmed: 5 7 2024
entrez: 4 7 2024
Statut: aheadofprint

Résumé

Identifying key molecular pathways and genes involved in the response to urban pollutants is an important step in furthering our understanding of the impact of urbanisation on wildlife. The expansion of urban habitats and the associated human-introduced environmental changes are considered a global threat to the health and persistence of humans and wildlife. The present study experimentally investigates how short-term exposure to three urban-related pollutants -soot, artificial light at night (ALAN) and traffic noise- affects transcriptome-wide gene expression in livers from captive female zebra finches (Taeniopygia guttata). Compared to unexposed controls, 17, 52, and 28 genes were differentially expressed in soot, ALAN and noise-exposed birds, respectively. In soot-exposed birds, the enriched gene ontology (GO) terms were associated with a suppressed immune system such as interferon regulating genes (IRGs) and responses to external stimuli. For ALAN-exposed birds, enriched GO terms were instead based on downregulated genes associated with detoxification, redox, hormonal-, and metabolic processes. Noise exposure resulted in downregulation of genes associated with the GO terms: cellular responses to substances, catabolic and cytokine responses. Among the individually differentially expressed genes (DEGs), soot led to an increased expression of genes related to tumour progression. Likewise, ALAN revealed an upregulation of multiple genes linked to different cancer types. Both sensory pollutants (ALAN and noise) led to increased expression of genes linked to neuronal function. Interestingly, noise caused upregulation of genes associated with serotonin regulation and function (SLC6A4 and HTR7), which previous studies have shown to be under selection in urban birds. These outcomes indicate that short-term exposure to the three urban pollutants perturbate the liver transcriptome, but most often in different ways, which highlights future studies of multiple-stress exposure and their interactive effects, along with their long-term impacts for urban-dwelling wildlife.

Identifiants

pubmed: 38964643
pii: S0269-7491(24)01175-8
doi: 10.1016/j.envpol.2024.124461
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

124461

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest ☒ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ☐ The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:

Auteurs

C Isaksson (C)

Department of Biology, Lund University, SE-223 62 Lund, Sweden. Electronic address: Caroline.Isaksson@biol.lu.se.

A K Ziegler (AK)

Department of Biology, Lund University, SE-223 62 Lund, Sweden.

Powell D (P)

Department of Biology, Lund University, SE-223 62 Lund, Sweden; Centre for Bioinnovation, University of the Sunshine Coast, Sippy Downs, QLD, Australia.

A Gudmundsson (A)

Ergonomics and Aerosol Technology, Department of Design Sciences, Faculty of Engineering, Lund University, SE-223 62 Lund, Sweden.

M N Andersson (MN)

Department of Biology, Lund University, SE-223 62 Lund, Sweden.

J Rissler (J)

Ergonomics and Aerosol Technology, Department of Design Sciences, Faculty of Engineering, Lund University, SE-223 62 Lund, Sweden.

Classifications MeSH