A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä

Development of transcriptional biomarkers for ammonia stress in fish;




TekijätDuenser, Anna; Ahi, Ehsan Pashay

KustantajaSpringer

Julkaisuvuosi2026

Lehti: Aquaculture International

Artikkelin numero222

Vuosikerta34

Numero6

ISSN0967-6120

eISSN1573-143X

DOIhttps://doi.org/10.1007/s10499-026-02618-8

Julkaisun avoimuus kirjaamishetkelläAvoimesti saatavilla

Julkaisukanavan avoimuus Osittain avoin julkaisukanava

Verkko-osoitehttps://doi.org/10.1007/s10499-026-02618-8

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/526920206

Rinnakkaistallenteen lisenssiCC BY

Rinnakkaistallennetun julkaisun versioKustantajan versio


Tiivistelmä

Ammonia loading is recognized as a pervasive constraint in intensive aquaculture and eutrophic waters, yet transcriptional indicators of ammonia stress have been reported across disparate species, tissues, and exposure regimes. In this review, fish studies linking ammonia exposure to mRNA responses are synthesized using a tissue-forward framework that prioritizes first-contact epithelia and downstream metabolic organs. In gills, recurring modulation is described for Rhesus glycoproteins, particularly Rhbg and Rhcg/RhCG isoforms, and associated acid–base and ionoregulatory machinery (V-type H + -ATPase, Na + /H + exchangers, carbonic anhydrase, Na + /K + -ATPase), alongside inflammatory and remodeling signals consistent with epithelial disturbance. In liver and other internal tissues, coherent shifts are reported in amino-acid and nitrogen metabolism, mitochondrial energy pathways, redox control, and cell-death programs, with representative candidate biomarkers including glutamine synthetase, carbamoyl phosphate synthetase I, antioxidant/redox genes, cytokine-related markers, and apoptosis/ferroptosis-associated transcripts. Because many oxidative and immune transcripts are shared among stressors, improved diagnostic value is expected when biomarker panels are derived from co-regulated modules using network-guided reduction approaches, including weighted gene co-expression network analysis (WGCNA), and validated against key confounders. Candidate gene sets are collated and a roadmap is outlined for translating tissue signatures into compact assays for aquaculture management and field surveillance.



Avainsanat:
Ammonia stressEco-toxicologyEnvironmental RNANon-invasive biomonitoringTranscriptional biomarkers

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Open Access funding provided by University of Helsinki (including Helsinki University Central Hospital).


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