doi:10.48130/newcontam-0026-0018

[1]

Noguera-Oviedo K, Aga DS. 2016. Lessons learned from more than two decades of research on emerging contaminants in the environment. Journal of Hazardous Materials 316:242−251

doi: 10.1016/j.jhazmat.2016.04.058

[2]

Schwarzenbach RP, Escher BI, Fenner K, Hofstetter TB, Johnson CA, et al. 2006. The challenge of micropollutants in aquatic systems. Science 313:1072−1077

doi: 10.1126/science.1127291

[3]

Wang Z, Walker GW, Muir DCG, Nagatani-Yoshida K. 2020. Toward a global understanding of chemical pollution: a first comprehensive analysis of national and regional chemical inventories. Environmental Science & Technology 54:2575−2584

doi: 10.1021/acs.est.9b06379

[4]

Judson R, Richard A, Dix DJ, Houck K, Martin M, et al. 2009. The toxicity data landscape for environmental chemicals. Environmental Health Perspectives 117:685−695

doi: 10.1289/ehp.0800168

[5]

Persson L, Carney Almroth BM, Collins CD, Cornell S, de Wit CA, et al. 2022. Outside the safe operating space of the planetary boundary for novel entities. Environmental Science & Technology 56:1510−1521

doi: 10.1021/acs.est.1c04158

[6]

Bambino K, Chu J. 2017. Zebrafish in toxicology and environmental health. Current Topics in Developmental Biology 124:331−367

doi: 10.1016/bs.ctdb.2016.10.007

[7]

Busquet F, Strecker R, Rawlings JM, Belanger SE, Braunbeck T, et al. 2014. OECD validation study to assess intra- and inter-laboratory reproducibility of the zebrafish embryo toxicity test for acute aquatic toxicity testing. Regulatory Toxicology and Pharmacology 69:496−511

doi: 10.1016/j.yrtph.2014.05.018

[8]

Padilla S, Corum D, Padnos B, Hunter DL, Beam A, et al. 2012. Zebrafish developmental screening of the ToxCast™ Phase I chemical library. Reproductive Toxicology 33:174−187

doi: 10.1016/j.reprotox.2011.10.018

[9]

Howe K, Clark MD, Torroja CF, Torrance J, Berthelot C, et al. 2013. The zebrafish reference genome sequence and its relationship to the human genome. Nature 496:498−503

doi: 10.1038/nature12111

[10]

Planchart A, Mattingly CJ, Allen D, Ceger P, Casey W, et al. 2016. Advancing toxicology research using in vivo high throughput toxicology with small fish models. ALTEX 33:435−452

doi: 10.14573/altex.1601281

[11]

Fitzgerald JA, Könemann S, Krümpelmann L, Županič A, vom Berg C. 2021. Approaches to test the neurotoxicity of environmental contaminants in the zebrafish model: from behavior to molecular mechanisms. Environmental Toxicology and Chemistry 40:989−1006

doi: 10.1002/etc.4951

[12]

Hasan AKMM, Rachamalla M, Uddin MH, Putnala SK, Krol ES, et al. 2026. Developmental exposure to Bisphenol S causes neurobehavioural deficits in larval zebrafish (Danio rerio). Aquatic Toxicology 291:107701

doi: 10.1016/j.aquatox.2025.107701

[13]

Hwang WY, Fu Y, Reyon D, Maeder ML, Tsai SQ, et al. 2013. Efficient genome editing in zebrafish using a CRISPR-Cas system. Nature Biotechnology 31:227−229

doi: 10.1038/nbt.2501

[14]

Jao LE, Wente SR, Chen W. 2013. Efficient multiplex biallelic zebrafish genome editing using a CRISPR nuclease system. Proceedings of the National Academy of Sciences of the United States of America 110:13904−13909

doi: 10.1073/pnas.1308335110

[15]

Zimmer AM, Pan YK, Chandrapalan T, Kwong RWM, Perry SF. 2019. Loss-of-function approaches in comparative physiology: is there a future for knockdown experiments in the era of genome editing? Journal of Experimental Biology 222:jeb175737

doi: 10.1242/jeb.175737

[16]

Imberechts D, Ny A, Copmans D. 2025. Established and emerging new approach methodologies in neuroscience. Frontiers in Neuroscience 19:1696937

doi: 10.3389/fnins.2025.1696937

[17]

Kushawah G, Hernandez-Huertas L, Abugattas-Nuñez Del Prado J, Martinez-Morales JR, DeVore ML, et al. 2020. CRISPR-Cas13d induces efficient mRNA knockdown in animal embryos. Developmental Cell 54:805−817.e7

doi: 10.1016/j.devcel.2020.07.013

[18]

Kobayashi D, Takeda H. 2008. Medaka genome project. Briefings in Functional Genomics and Proteomics 7:415−426

doi: 10.1093/bfgp/eln044

[19]

Schartl M. 2014. Beyond the zebrafish: diverse fish species for modeling human disease. Disease Models & Mechanisms 7:181−192

doi: 10.1242/dmm.012245

[20]

Liu Z, Li L, Sun B, Ding Y, Lv Y, et al. 2025. Transgenerational effects of Nanoplastics and bisphenol A on Zebrafish lipid metabolism: disruption of the gut Microbiota-liver axis via mTOR pathway. Aquatic Toxicology 284:107401

doi: 10.1016/j.aquatox.2025.107401

[21]

Luo Y, Zhang Z, Li X, Zhuang Z, Li Y, et al. 2025. Reproductive toxicity and transgenerational effects of co-exposure to polystyrene microplastics and arsenic in zebrafish. Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology 290:110134

doi: 10.1016/j.cbpc.2025.110134

[22]

Cheng Y, Fan Z, Wu J, Li L, Cheng G, et al. 2025. Combined exposure of polystyrene nanoplastics and silver nanoparticles exacerbating hepatotoxicity in zebrafish mediated by ferroptosis pathway through increased silver accumulation. Journal of Hazardous Materials 492:138260

doi: 10.1016/j.jhazmat.2025.138260

[23]

Uddin MH, Ritu JR, Niyogi S, Chivers DP. 2026. Multigenerational effects of selected environmental contaminants in fishes: a comprehensive review. Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology 302:110453

doi: 10.1016/j.cbpc.2026.110453

[24]

Bhagat J, Zang L, Nishimura N, Shimada Y. 2020. Zebrafish: an emerging model to study microplastic and nanoplastic toxicity. Science of The Total Environment 728:138707

doi: 10.1016/j.scitotenv.2020.138707

[25]

Naderi M, Puar P, JavadiEsfahani R, Kwong RWM. 2022. Early developmental exposure to bisphenol A and bisphenol S disrupts socio-cognitive function, isotocin equilibrium, and excitation-inhibition balance in developing zebrafish. NeuroToxicology 88:144−154

doi: 10.1016/J.NEURO.2021.11.009

[26]

Kwong RWM, Kumai Y, Perry SF. 2016. Neuroendocrine control of ionic balance in zebrafish. General and Comparative Endocrinology 234:40−46

doi: 10.1016/j.ygcen.2016.05.016

[27]

Guh YJ, Lin CH, Hwang PP. 2015. Osmoregulation in zebrafish: ion transport mechanisms and functional regulation. EXCLI Journal 14:627−659

doi: 10.17179/excli2015-246

[28]

Yan JJ, Hwang PP. 2019. Novel discoveries in acid-base regulation and osmoregulation: a review of selected hormonal actions in zebrafish and medaka. General and Comparative Endocrinology 277:20−29

doi: 10.1016/j.ygcen.2019.03.007

[29]

Perry SF, Abdallah S. 2012. Mechanisms and consequences of carbon dioxide sensing in fish. Respiratory Physiology & Neurobiology 184:309−315

doi: 10.1016/j.resp.2012.06.013

[30]

Perry SF, Pan YK, Gilmour KM. 2023. Insights into the control and consequences of breathing adjustments in fishes-from larvae to adults. Frontiers in Physiology 14:1065573

doi: 10.3389/fphys.2023.1065573

[31]

Köblitz L, Fiechtner B, Baus K, Lussnig R, Pelster B. 2015. Developmental expression and hypoxic induction of hypoxia inducible transcription factors in the zebrafish. PLoS One 10:e0128938

doi: 10.1371/journal.pone.0128938

[32]

Kwong RWM, Kumai Y, Perry SF. 2014. The physiology of fish at low pH: the zebrafish as a model system. Journal of Experimental Biology 217:651−662

doi: 10.1242/jeb.091603

[33]

Clifford AM, Tresguerres M, Goss GG, Wood CM. 2022. A novel K⁺-dependent Na⁺ uptake mechanism during low pH exposure in adult zebrafish (Danio rerio): new tricks for old dogma. Acta Physiologica 234:e13777

doi: 10.1111/apha.13777

[34]

Morgan R, Sundin J, Finnøen MH, Dresler G, Vendrell MM, et al. 2019. Are model organisms representative for climate change research? Testing thermal tolerance in wild and laboratory zebrafish populations. Conservation Physiology 7:coz036

doi: 10.1093/conphys/coz036

[35]

Feugere L, Bates A, Emagbetere T, Chapman E, Malcolm LE, et al. 2023. Heat induces multiomic and phenotypic stress propagation in zebrafish embryos. PNAS Nexus 2:pgad137

doi: 10.1093/pnasnexus/pgad137

[36]

Feng Y, Xian H, Bai R, Li Z, Li H, et al. 2025. Multi-omics insights into 6PPD- and 6PPDQ-induced gut-liver axis disruption and non-alcoholic fatty liver disease progression in zebrafish (Danio rerio). Journal of Hazardous Materials 495:138822

doi: 10.1016/j.jhazmat.2025.138822

[37]

Teng M, Zhao X, Wang C, Wang C, White JC, et al. 2022. Polystyrene nanoplastics toxicity to zebrafish: dysregulation of the brain-intestine-microbiota axis. ACS Nano 16:8190−8204

doi: 10.1021/acsnano.2c01872

[38]

Han XB, Lei ENY, Lam MHW, Wu RSS. 2011. A whole life cycle assessment on effects of waterborne PBDEs on gene expression profile along the brain–pituitary–gonad axis and in the liver of zebrafish. Marine Pollution Bulletin 63:160−165

doi: 10.1016/j.marpolbul.2011.04.001

[39]

Chelcea I, Örn S, Hamers T, Koekkoek J, Legradi J, et al. 2022. Physiologically based toxicokinetic modeling of bisphenols in zebrafish (Danio rerio) accounting for variations in metabolic rates, brain distribution, and liver accumulation. Environmental Science & Technology 56:10216−10228

doi: 10.1021/acs.est.2c01292

[40]

Péry ARR, Devillers J, Brochot C, Mombelli E, Palluel O, et al. 2014. A physiologically based toxicokinetic model for the zebrafish Danio rerio. Environmental Science & Technology 48:781−790

doi: 10.1021/es404301q

[41]

Lin X, Wang H, Zhang J, Jiang G, Xia X. 2025. Toxicokinetic modeling for intermittent dietary uptake of per- and polyfluoroalkyl substances by zebrafish. Environmental Science & Technology 59:11493−11504

doi: 10.1021/acs.est.5c03205

[42]

Richardson SD, Ternes TA. 2022. Water analysis: emerging contaminants and current issues. Analytical Chemistry 94:382−416

doi: 10.1021/acs.analchem.1c04640

[43]

Petrie B, Barden R, Kasprzyk-Hordern B. 2015. A review on emerging contaminants in wastewaters and the environment: current knowledge, understudied areas and recommendations for future monitoring. Water Research 72:3−27

doi: 10.1016/j.watres.2014.08.053

[44]

Werbowski LM, Gilbreath AN, Munno K, Zhu X, Grbic J, et al. 2021. Urban stormwater runoff: a major pathway for anthropogenic particles, black rubbery fragments, and other types of microplastics to urban receiving waters. ACS ES& T Water 1:1420−1428

doi: 10.1021/acsestwater.1c00017

[45]

Masoner JR, Kolpin DW, Cozzarelli IM, Barber LB, Burden DS, et al. 2019. Urban stormwater: an overlooked pathway of extensive mixed contaminants to surface and groundwaters in the United States. Environmental Science & Technology 53:10070−10081

doi: 10.1021/acs.est.9b02867

[46]

Tian Z, Zhao H, Peter KT, Gonzalez M, Wetzel J, et al. 2021. A ubiquitous tire rubber–derived chemical induces acute mortality in coho salmon. Science 371:185−189

doi: 10.1126/science.abd6951

[47]

Stehle S, Schulz R. 2015. Agricultural insecticides threaten surface waters at the global scale. Proceedings of the National Academy of Sciences of the United States of America 112:5750−5755

doi: 10.1073/pnas.1500232112

[48]

Chatterjee S, Lufkin T. 2011. Fishing for function: zebrafish BAC transgenics for functional genomics. Molecular BioSystems 7:2345−2351

doi: 10.1039/c1mb05116d

[49]

Kalueff AV, Gebhardt M, Stewart AM, Cachat JM, Brimmer M, et al. 2013. Towards a comprehensive catalog of zebrafish behavior 1.0 and beyond. Zebrafish 10:70−86

doi: 10.1089/ZEB.2012.0861

[50]

Paules R. 2003. Phenotypic anchoring: linking cause and effect. Environmental Health Perspectives 111:A338−A339

doi: 10.1289/ehp.111-a338

[51]

Ankley GT, Bennett RS, Erickson RJ, Hoff DJ, Hornung MW, et al. 2010. Adverse outcome pathways: a conceptual framework to support ecotoxicology research and risk assessment. Environmental Toxicology and Chemistry 29:730−741

doi: 10.1002/etc.34

[52]

Schultz DR, Frydas IS, Papaioannou N, Papageorgiou T, Gabriel C, et al. 2026. Development of an integrative cross-omics approach for conceptual adverse outcome pathway network construction. Environment International 209:110171

doi: 10.1016/j.envint.2026.110171

[53]

Mousavi SE, Zarean M, Yu J, Abbasi S, Kwong RWM. 2026. Identifying possible neurodevelopmental effects of per- and polyfluoroalkyl substances (PFAS) through an adverse outcome pathway (AOP) network for human developmental neurotoxicology. The Science of the Total Environment 1011:181170

doi: 10.1016/j.scitotenv.2025.181170

[54]

Xia P, Wang P, Liu S, Peng Y, Gou X, et al. 2026. Network-based assessment of environmental neurotoxicants using high-throughput transcriptomics in zebrafish embryos. Environmental Science & Technology 60:8326−8338

doi: 10.1021/acs.est.5c11994

[55]

Zonouzi-Marand M, Naderi M, Kwong RWM. 2022. Toxicological assessment of cadmium-containing quantum dots in developing zebrafish: physiological performance and neurobehavioral responses. Aquatic Toxicology 247:106157

doi: 10.1016/j.aquatox.2022.106157

[56]

Satbhai KM, Marques ES, Ranjan R, Timme-Laragy AR. 2025. Single-cell RNA sequencing reveals tissue-specific transcriptomic changes induced by perfluorooctanesulfonic acid (PFOS) in larval zebrafish (Danio rerio). Journal of Hazardous Materials 489:137515

doi: 10.1016/j.jhazmat.2025.137515

[57]

Porto VA, da Rocha ER Jr, Ursulino JS, Porto RS, da Silva M, et al. 2023. NMR-based metabolomics applied to ecotoxicology with zebrafish (Danio rerio) as a prominent model for metabolic profiling and biomarker discovery: overviewing the most recent approaches. Science of The Total Environment 868:161737

doi: 10.1016/j.scitotenv.2023.161737

[58]

Okeke ES, Feng W, Mao G, Chen Y, Qian X, et al. 2023. A transcriptomic-based analysis predicts the neuroendocrine disrupting effect on adult male and female zebrafish (Danio rerio) following long-term exposure to tetrabromobisphenol A bis(2-hydroxyethyl) ether. Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology 264:109527

doi: 10.1016/j.cbpc.2022.109527

[59]

Van Aggelen G, Ankley GT, Baldwin WS, Bearden DW, Benson WH, et al. 2010. Integrating omic technologies into aquatic ecological risk assessment and environmental monitoring: hurdles, achievements, and future outlook. Environmental Health Perspectives 118:1−5

doi: 10.1289/ehp.0900985

[60]

Ford AT, Ågerstrand M, Brooks BW, Allen J, Bertram MG, et al. 2021. The role of behavioral ecotoxicology in environmental protection. Environmental Science & Technology 55:5620−5628

doi: 10.1021/acs.est.0c06493

[61]

Melvin SD, Wilson SP. 2013. The utility of behavioral studies for aquatic toxicology testing: a meta-analysis. Chemosphere 93:2217−2223

doi: 10.1016/j.chemosphere.2013.07.036

[62]

Brodin T, Piovano S, Fick J, Klaminder J, Heynen M, et al. 2014. Ecological effects of pharmaceuticals in aquatic systems—impacts through behavioural alterations. Philosophical Transactions of the Royal Society B: Biological Sciences 369:20130580

doi: 10.1098/rstb.2013.0580

[63]

Hellström G, Klaminder J, Finn F, Persson L, Alanärä A, et al. 2016. GABAergic anxiolytic drug in water increases migration behaviour in salmon. Nature Communications 7:13460

doi: 10.1038/ncomms13460

[64]

Yang B, Sun L, Peng Z, Zhang Q, Lin M, et al. 2025. Toxicity of rare earth elements europium and samarium on zebrafish development and locomotor performance. Journal of Hazardous Materials 487:137213

doi: 10.1016/j.jhazmat.2025.137213

[65]

Egan RJ, Bergner CL, Hart PC, Cachat JM, Canavello PR, et al. 2009. Understanding behavioral and physiological phenotypes of stress and anxiety in zebrafish. Behavioural Brain Research 205:38−44

doi: 10.1016/j.bbr.2009.06.022

[66]

Chen H, Li K, Kreiss L, Reamey P, Pierce LX, et al. 2026. High-throughput multi-camera array microscope platform for automated 3D behavioral analysis of swimming zebrafish larvae. Communications Biology 9:141

doi: 10.1038/s42003-025-09421-w

[67]

Fan YL, Hsu CH, Hsu FR, Liao LD. 2024. Exploring the use of deep learning models for accurate tracking of 3D zebrafish trajectories. Frontiers in Bioengineering and Biotechnology 12:1461264

doi: 10.3389/fbioe.2024.1461264

[68]

Yang P, Takahashi H, Murase M, Itoh M. 2021. Zebrafish behavior feature recognition using three-dimensional tracking and machine learning. Scientific Reports 11:13492

doi: 10.1038/s41598-021-92854-0

[69]

Einevoll GT, Kayser C, Logothetis NK, Panzeri S. 2013. Modelling and analysis of local field potentials for studying the function of cortical circuits. Nature Reviews Neuroscience 14:770−785

doi: 10.1038/nrn3599

[70]

Tomasello DL, Sive H. 2020. Noninvasive multielectrode array for brain and spinal cord local field potential recordings from live zebrafish larvae. Zebrafish 17:271−277

doi: 10.1089/zeb.2020.1874

[71]

Meyer M, Dhamne SC, LaCoursiere CM, Tambunan D, Poduri A, et al. 2016. Microarray noninvasive neuronal seizure recordings from intact larval zebrafish. PLoS One 11:e0156498

doi: 10.1371/journal.pone.0156498

[72]

Tomasello DL, Wlodkowic D. 2022. Noninvasive electrophysiology: emerging prospects in aquatic neurotoxicity testing. Environmental Science & Technology 56:4788−4794

doi: 10.1021/acs.est.1c08471

[73]

Zhang RW, Du JL. 2016. In vivo whole-cell patch-clamp recording in the zebrafish brain. Methods in Molecular Biology 1451:281−291

doi: 10.1007/978-1-4939-3771-4_19

[74]

Hong S, Lee P, Baraban SC, Lee LP. 2016. A novel long-term, multi-channel and non-invasive electrophysiology platform for zebrafish. Scientific Reports 6:28248

doi: 10.1038/srep28248

[75]

Saint-Amant L, Drapeau P. 2003. Whole-cell patch-clamp recordings from identified spinal neurons in the zebrafish embryo. Methods in Cell Science 25:59−64

doi: 10.1023/B:MICS.0000006896.02938.49

[76]

Badenetti L, Manzoli R, Rubin M, Cozza G, Moro E. 2023. Monitoring Nrf2/ARE pathway activity with a new zebrafish reporter system. International Journal of Molecular Sciences 24:6804

doi: 10.3390/ijms24076804

[77]

Nguyen-Chi M, Laplace-Builhe B, Travnickova J, Luz-Crawford P, Tejedor G, et al. 2015. Identification of polarized macrophage subsets in zebrafish. eLife 4:e07288

doi: 10.7554/eLife.07288

[78]

Kuri P, Ellwanger K, Kufer TA, Leptin M, Bajoghli B. 2017. A high-sensitivity bi-directional reporter to monitor NF-κB activity in cell culture and zebrafish in real time. Journal of Cell Science 130:648−657

doi: 10.1242/jcs.196485

[79]

Wrighton PJ, Shwartz A, Heo JM, Quenzer ED, LaBella KA, et al. 2021. Quantitative intravital imaging in zebrafish reveals in vivo dynamics of physiological-stress-induced mitophagy. Journal of Cell Science 134:jcs256255

doi: 10.1242/jcs.256255

[80]

Panieri E, Millia C, Santoro MM. 2017. Real-time quantification of subcellular H₂O₂ and glutathione redox potential in living cardiovascular tissues. Free Radical Biology and Medicine 109:189−200

doi: 10.1016/j.freeradbiomed.2017.02.022

[81]

Dukes AA, Bai Q, Van Laar VS, Zhou Y, Ilin V, et al. 2016. Live imaging of mitochondrial dynamics in CNS dopaminergic neurons in vivo demonstrates early reversal of mitochondrial transport following MPP+ exposure. Neurobiology of Disease 95:238−249

doi: 10.1016/j.nbd.2016.07.020

[82]

Xi Y, Yu M, Godoy R, Hatch G, Poitras L, et al. 2011. Transgenic zebrafish expressing green fluorescent protein in dopaminergic neurons of the ventral diencephalon. Developmental Dynamics: An Official Publication of the American Association of Anatomists 240:2539−2547

doi: 10.1002/dvdy.22742

[83]

Satou C, Kimura Y, Hirata H, Suster ML, Kawakami K, et al. 2013. Transgenic tools to characterize neuronal properties of discrete populations of zebrafish neurons. Development 140:3927−3931

doi: 10.1242/dev.099531

[84]

Sun F, Zeng J, Jing M, Zhou J, Feng J, et al. 2018. A genetically encoded fluorescent sensor enables rapid and specific detection of dopamine in flies, fish, and mice. Cell 174:481−496. e19

doi: 10.1016/j.cell.2018.06.042

[85]

Wyart C, Del Bene F, Warp E, Scott EK, Trauner D, et al. 2009. Optogenetic dissection of a behavioural module in the vertebrate spinal cord. Nature 461:407−410

doi: 10.1038/nature08323

[86]

Del Bene F, Wyart C. 2012. Optogenetics: a new enlightenment age for zebrafish neurobiology. Developmental Neurobiology 72:404−414

doi: 10.1002/dneu.20914

[87]

Kwong RWM, Perry SF. 2013. Cortisol regulates epithelial permeability and sodium losses in zebrafish exposed to acidic water. Journal of Endocrinology 217:253−264

doi: 10.1530/JOE-12-0574

[88]

Horng JL, Lin LY, Hwang PP. 2009. Functional regulation of H⁺-ATPase-rich cells in zebrafish embryos acclimated to an acidic environment. American Journal of Physiology Cell Physiology 296:C682−C692

doi: 10.1152/ajpcell.00576.2008

[89]

Shu Y, Lou Q, Dai Z, Dai X, He J, et al. 2016. The basal function of teleost prolactin as a key regulator on ion uptake identified with zebrafish knockout models. Scientific Reports 6:18597

doi: 10.1038/srep18597

[90]

Okendo J, Koren S, Rhie A, Torrado-Tapias A, Pickett BD, et al. 2025. Complete de novo assembly and re-annotation of the zebrafish genome. bioRxiv 00:Preprint

doi: 10.1101/2025.11.17.688901

[91]

Audira G, Siregar P, Strungaru SA, Huang JC, Hsiao CD. 2020. Which zebrafish strains are more suitable to perform behavioral studies? A comprehensive comparison by phenomic approach. Biology 9:200

doi: 10.3390/biology9080200

[92]

Meyer BM, Froehlich JM, Galt NJ, Biga PR. 2013. Inbred strains of zebrafish exhibit variation in growth performance and myostatin expression following fasting. Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology 164:1−9

doi: 10.1016/j.cbpa.2012.10.004

[93]

Guryev V, Koudijs MJ, Berezikov E, Johnson SL, Plasterk RHA, et al. 2006. Genetic variation in the zebrafish. Genome Research 16:491−497

doi: 10.1101/gr.4791006

[94]

Vignet C, Bégout ML, Péan S, Lyphout L, Leguay D, et al. 2013. Systematic screening of behavioral responses in two zebrafish strains. Zebrafish 10:365−375

doi: 10.1089/zeb.2013.0871

[95]

Gorissen M, Manuel R, Pelgrim TNM, Mes W, de Wolf MJS, et al. 2015. Differences in inhibitory avoidance, cortisol and brain gene expression in TL and AB zebrafish. Genes, Brain and Behavior 14:428−438

doi: 10.1111/gbb.12220

[96]

Barba-Escobedo PA, Gould GG. 2012. Visual social preferences of lone zebrafish in a novel environment: strain and anxiolytic effects. Genes, Brain and Behavior 11:366−373

doi: 10.1111/j.1601-183X.2012.00770.x

[97]

Monson CA, Sadler KC. 2010. Inbreeding depression and outbreeding depression are evident in wild-type zebrafish lines. Zebrafish 7:189−197

doi: 10.1089/zeb.2009.0648

[98]

Suurväli J, Whiteley AR, Zheng Y, Gharbi K, Leptin M, et al. 2020. The laboratory domestication of zebrafish: from diverse populations to inbred substrains. Molecular Biology and Evolution 37:1056−1069

doi: 10.1093/molbev/msz289

[99]

Bedell VM, Dubey P, Lee HB, Bailey DS, Anderson JL, et al. 2025. Zebrafishology, study design guidelines for rigorous and reproducible data using zebrafish. Communications Biology 8:739

doi: 10.1038/s42003-025-07496-z

[100]

Charlesworth D, Charlesworth B. 1987. Inbreeding depression and its evolutionary consequences. Annual Review of Ecology and Systematics 18:237−268

doi: 10.1146/annurev.es.18.110187.001321

[101]

Smallbone W, van Oosterhout C, Cable J. 2016. The effects of inbreeding on disease susceptibility: Gyrodactylus turnbulli infection of guppies, Poecilia reticulata. Experimental Parasitology 167:32−37

doi: 10.1016/j.exppara.2016.04.018

[102]

Taylor JS, Van de Peer Y, Braasch I, Meyer A. 2001. Comparative genomics provides evidence for an ancient genome duplication event in fish. Philosophical Transactions of the Royal Society of London Series B: Biological Sciences 356:1661−1679

doi: 10.1098/rstb.2001.0975

[103]

Glasauer SMK, Neuhauss SCF. 2014. Whole-genome duplication in teleost fishes and its evolutionary consequences. Molecular Genetics and Genomics 289:1045−1060

doi: 10.1007/s00438-014-0889-2

[104]

Goldstone JV, McArthur AG, Kubota A, Zanette J, Parente T, et al. 2010. Identification and developmental expression of the full complement of Cytochrome P450 genes in Zebrafish. BMC Genomics 11:643

doi: 10.1186/1471-2164-11-643

[105]

Yang P, Yamaki M, Kuwabara S, Kajiwara R, Itoh M. 2019. A newly developed feeder and oxygen measurement system reveals the effects of aging and obesity on the metabolic rate of zebrafish. Experimental Gerontology 127:110720

doi: 10.1016/j.exger.2019.110720

[106]

Kanoh T, Mizoguchi T, Tonoki A, Itoh M. 2024. Modeling of age-related neurological disease: utility of zebrafish. Frontiers in Aging Neuroscience 16:1399098

doi: 10.3389/fnagi.2024.1399098

[107]

Tsai SB, Tucci V, Uchiyama J, Fabian NJ, Lin MC, et al. 2007. Differential effects of genotoxic stress on both concurrent body growth and gradual senescence in the adult zebrafish. Aging Cell 6:209−224

doi: 10.1111/j.1474-9726.2007.00278.x

[108]

Mastrogiovanni M, Martínez-Navarro FJ, Bowman TV, Cayuela ML. 2024. Inflammation in development and aging: insights from the zebrafish model. International Journal of Molecular Sciences 25:2145

doi: 10.3390/ijms25042145

[109]

Zheng W, Xu H, Lam SH, Luo H, Karuturi RKM, et al. 2013. Transcriptomic analyses of sexual dimorphism of the zebrafish liver and the effect of sex hormones. PLoS One 8:e53562

doi: 10.1371/journal.pone.0053562

[110]

Zhai G, Jia J, Bereketoglu C, Yin Z, Pradhan A. 2022. Sex-specific differences in zebrafish brains. Biology of Sex Differences 13:31

doi: 10.1186/s13293-022-00442-2

[111]

Marques IJ, Lupi E, Mercader N. 2019. Model systems for regeneration: zebrafish. Development 146:dev167692

doi: 10.1242/dev.167692

[112]

Mierzwa AS, Nguyen F, Xue M, Jonz MG. 2020. Regeneration of the gill filaments and replacement of serotonergic neuroepithelial cells in adult zebrafish (Danio rerio). Respiratory Physiology & Neurobiology 274:103366

doi: 10.1016/j.resp.2019.103366

[113]

Gemberling M, Bailey TJ, Hyde DR, Poss KD. 2013. The zebrafish as a model for complex tissue regeneration. Trends in Genetics 29:611−620

doi: 10.1016/j.tig.2013.07.003

[114]

Poss KD, Wilson LG, Keating MT. 2002. Heart regeneration in zebrafish. Science 298:2188−2190

doi: 10.1126/science.1077857

[115]

Griffitt RJ, Weil R, Hyndman KA, Denslow ND, Powers K, et al. 2007. Exposure to copper nanoparticles causes gill injury and acute lethality in zebrafish (Danio rerio). Environmental Science & Technology 41:8178−8186

doi: 10.1021/es071235e

[116]

Kirchmaier S, Naruse K, Wittbrodt J, Loosli F. 2015. The genomic and genetic toolbox of the teleost medaka (Oryzias latipes). Genetics 199:905−918

doi: 10.1534/genetics.114.173849

[117]

Hsu HH, Lin LY, Tseng YC, Horng JL, Hwang PP. 2014. A new model for fish ion regulation: identification of ionocytes in freshwater- and seawater-acclimated medaka (Oryzias latipes). Cell and Tissue Research 357:225−243

doi: 10.1007/s00441-014-1883-z

[118]

Hilgers L, Schwarzer J. 2019. The untapped potential of medaka and its wild relatives. eLife 8:e46994

doi: 10.7554/eLife.46994

[119]

Evans DH. 2008. Teleost fish osmoregulation: what have we learned since August Krogh, Homer Smith, and Ancel Keys. American Journal of Physiology Regulatory, Integrative and Comparative Physiology 295:R704−R713

doi: 10.1152/ajpregu.90337.2008

[120]

Evans DH, Piermarini PM, Choe KP. 2005. The multifunctional fish gill: dominant site of gas exchange, osmoregulation, acid-base regulation, and excretion of nitrogenous waste. Physiological Reviews 85:97−177

doi: 10.1152/physrev.00050.2003

[121]

Pan YK. 2024. Structure and function of the larval teleost fish gill. Journal of Comparative Physiology B, Biochemical, Systemic, and Environmental Physiology 194:569−581

doi: 10.1007/s00360-024-01550-8

[122]

Zimmer AM. 2024. Ammonia excretion by the fish gill: discoveries and ideas that shaped our current understanding. Journal of Comparative Physiology B, Biochemical, Systemic, and Environmental Physiology 194:697−715

doi: 10.1007/s00360-024-01561-5

[123]

Gilmour KM, Perry SF. 2009. Carbonic anhydrase and acid–base regulation in fish. Journal of Experimental Biology 212:1647−1661

doi: 10.1242/jeb.029181

[124]

Bilberg K, Hovgaard MB, Besenbacher F, Baatrup E. 2012. In vivo toxicity of silver nanoparticles and silver ions in zebrafish (Danio rerio). Journal of Toxicology 2012:293784

doi: 10.1155/2012/293784

[125]

Abreu MS, Giacomini ACV, Koakoski G, Oliveira TA, Gusso D, et al. 2015. Effects of waterborne fluoxetine on stress response and osmoregulation in zebrafish. Environmental Toxicology and Pharmacology 40:704−707

doi: 10.1016/j.etap.2015.09.001

[126]

Jönsson ME, Brunström B, Brandt I. 2009. The zebrafish gill model: induction of CYP1A, EROD and PAH adduct formation. Aquatic Toxicology 91:62−70

doi: 10.1016/j.aquatox.2008.10.010

[127]

Gugescu L, Yang Y, Kool JF, Fyhrquist N, Wincent E, et al. 2025. Microbiota modulates compound-specific toxicity of environmental chemicals: a multi-omics analysis in zebrafish embryos. Environment International 204:109828

doi: 10.1016/j.envint.2025.109828

[128]

Yang R, Ye Y, Chen Y, Yang Y, Yang L, et al. 2023. First insight into the formation of in vivo transformation products of 2-ethylhexyl diphenyl phosphate in zebrafish and prediction of their potential toxicities. Environmental Science & Technology 57:451−462

doi: 10.1021/acs.est.2c05506

[129]

Handy RD, van den Brink N, Chappell M, Mühling M, Behra R, et al. 2012. Practical considerations for conducting ecotoxicity test methods with manufactured nanomaterials: what have we learnt so far? Ecotoxicology 21:933−972

doi: 10.1007/s10646-012-0862-y

[130]

FraseR TWK, Reinardy HC, Shaw BJ, Henry TB, Handy RD. 2011. Dietary toxicity of single-walled carbon nanotubes and fullerenes (C60) in rainbow trout (Oncorhynchus mykiss). Nanotoxicology 5:98−108

doi: 10.3109/17435390.2010.502978

[131]

Spence R, Gerlach G, Lawrence C, Smith C. 2008. The behaviour and ecology of the zebrafish, Danio rerio. Biological Reviews 83:13−34

doi: 10.1111/j.1469-185X.2007.00030.x

[132]

Brinkmann M, Montgomery D, Selinger S, Miller JGP, Stock E, et al. 2022. Acute toxicity of the tire rubber-derived chemical 6PPD-quinone to four fishes of commercial, cultural, and ecological importance. Environmental Science & Technology Letters 9:333−338

doi: 10.1021/acs.estlett.2c00050

[133]

Hiki K, Asahina K, Kato K, Yamagishi T, Omagari R, et al. 2021. Acute toxicity of a tire rubber-derived chemical, 6PPD quinone, to freshwater fish and crustacean species. Environmental Science & Technology Letters 8:779−784

doi: 10.1021/acs.estlett.1c00453

[134]

Vandenberg LN, Colborn T, Hayes TB, Heindel JJ, Jacobs DR Jr, et al. 2012. Hormones and endocrine-disrupting chemicals: low-dose effects and nonmonotonic dose responses. Endocrine Reviews 33:378−455

doi: 10.1210/er.2011-1050

[135]

Lagarde F, Beausoleil C, Belcher SM, Belzunces LP, Emond C, et al. 2015. Non-monotonic dose-response relationships and endocrine disruptors: a qualitative method of assessment. Environmental Health 14:13

doi: 10.1186/1476-069X-14-13

[136]

Bertram MG, Ågerstrand M, Balshine S, Brand JA, Brooks BW, et al. 2026. Are behavioral ecotoxicity endpoints relevant at the population level? Evidence-based insights for environmental protection. Environmental Science & Technology 60:86−95

doi: 10.1021/acs.est.5c07777

[137]

Noyes PD, McElwee MK, Miller HD, Clark BW, Van Tiem LA, et al. 2009. The toxicology of climate change: environmental contaminants in a warming world. Environment International 35:971−986

doi: 10.1016/j.envint.2009.02.006

[138]

Hooper MJ, Ankley GT, Cristol DA, Maryoung LA, Noyes PD, et al. 2013. Interactions between chemical and climate stressors: a role for mechanistic toxicology in assessing climate change risks. Environmental Toxicology and Chemistry 32:32−48

doi: 10.1002/etc.2043

[139]

Sokolova IM. 2013. Energy-limited tolerance to stress as a conceptual framework to integrate the effects of multiple stressors. Integrative and Comparative Biology 53:597−608

doi: 10.1093/icb/ict028

[140]

Yang R, Wang D, Wang YP, Yan M, Li H, et al. 2026. Making waves: impaired osmotic reserve by chemical exposure amplifies vulnerability of estuarine organisms to climate-driven salinity shifts. Water Research 300:125987

doi: 10.1016/j.watres.2026.125987

[141]

Ngu MS, Toro S, Burger A, Ang KC. 2025. Building a framework for reproducibility: the case for standardized data reporting and metadata integration in zebrafish research. Disease Models & Mechanisms 18:dmm052441

doi: 10.1242/dmm.052441

[142]

Shaw R, Festing MFW, Peers I, Furlong L. 2002. Use of factorial designs to optimize animal experiments and reduce animal use. ILAR Journal 43:223−232

doi: 10.1093/ilar.43.4.223

[143]

Festing MFW. 2002. The design and statistical analysis of animal experiments. ILAR Journal 43:191−193

doi: 10.1093/ilar.43.4.191

[144]

Kang J, Koulis T, Pourmohamad T. 2025. Sample size reduction in preclinical experiments: a Bayesian sequential decision-making framework. Journal of Biopharmaceutical Statistics 00:1−16

doi: 10.1080/10543406.2025.2556680

[145]

Grimm V, Martin BT. 2013. Mechanistic effect modeling for ecological risk assessment: where to go from here? Integrated Environmental Assessment and Management 9:e58−e63

doi: 10.1002/ieam.1423

[146]

Brack W. 2003. Effect-directed analysis: a promising tool for the identification of organic toxicants in complex mixtures? Analytical and Bioanalytical Chemistry 377:397−407

doi: 10.1007/s00216-003-2139-z

[147]

Luo W, Chou L, Cui Q, Wei S, Zhang X, et al. 2024. High-efficiency effect-directed analysis (EDA) advancing toxicant identification in aquatic environments: Latest progress and application status. Environment International 190:108855

doi: 10.1016/j.envint.2024.108855

[148]

LaLone CA, Villeneuve DL, Burgoon LD, Russom CL, Helgen HW, et al. 2013. Molecular target sequence similarity as a basis for species extrapolation to assess the ecological risk of chemicals with known modes of action. Aquatic Toxicology 144–145:141−154

doi: 10.1016/j.aquatox.2013.09.004

[149]

LaLone CA, Villeneuve DL, Lyons D, Helgen HW, Robinson SL, et al. 2016. Editor's highlight: sequence alignment to predict across species susceptibility (SeqAPASS): a web-based tool for addressing the challenges of cross-species extrapolation of chemical toxicity. Toxicological Sciences 153:228−245

doi: 10.1093/toxsci/kfw119