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<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
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<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
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<issn pub-type="epub">1664-3224</issn>
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<article-id pub-id-type="doi">10.3389/fimmu.2026.1788094</article-id>
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<subj-group subj-group-type="heading">
<subject>Editorial</subject>
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<title-group>
<article-title>Editorial: Immunomics in aquaculture: deciphering the immune landscape of aquacultured animals through omics technologies</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Galindo-Villegas</surname><given-names>Jorge</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/157097/overview"/>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Pereiro</surname><given-names>Patricia</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/337710/overview"/>
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<aff id="aff1"><label>1</label><institution>Department of Genomics, Faculty of Biosciences and Aquaculture, Nord University</institution>, <city>Bod&#xf8;</city>,&#xa0;<country country="no">Norway</country></aff>
<aff id="aff2"><label>2</label><institution>Institute of Marine Research (IIM), Spanish National Research Council (CSIC)</institution>, <city>Vigo</city>,&#xa0;<country country="es">Spain</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Jorge Galindo-Villegas, <email xlink:href="mailto:jorge.galindo-villegas@nord.no">jorge.galindo-villegas@nord.no</email>; Patricia Pereiro, <email xlink:href="mailto:patriciapereiro@iim.csic.es">patriciapereiro@iim.csic.es</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-09">
<day>09</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1788094</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>29</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Galindo-Villegas and Pereiro.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Galindo-Villegas and Pereiro</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-09">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<kwd-group>
<kwd>disease resistance</kwd>
<kwd>functional genomics</kwd>
<kwd>host-pathogen interactions</kwd>
<kwd>immunometabolism</kwd>
<kwd>molecular phenotyping</kwd>
<kwd>single-cell transcriptomics</kwd>
<kwd>systems Immunology</kwd>
<kwd>precision aquaculture</kwd>
</kwd-group>
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<ref-count count="17"/>
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<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Comparative Immunology</meta-value>
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<notes notes-type="frontiers-research-topic">
<p>Editorial on the Research Topic <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/research-topics/66979">Immunomics in aquaculture: deciphering the immune landscape of aquacultured animals through omics technologies</ext-link>
</p>
</notes>
</front>
<body>
<sec id="s1">
<title>From descriptive immunology to systems-level understanding</title>
<p>Advances in high-throughput omics technologies have reshaped modern biological research, with aquaculture standing among the disciplines most profoundly transformed. Genomics, epigenomics, metagenomics, transcriptomics, proteomics, and metabolomics now provide unprecedented resolution of the molecular and cellular processes that govern health, performance, and resilience in aquacultured species. This technological convergence is driving a transition toward precision aquaculture, in which data-driven insights inform selective breeding, nutritional strategies, and evidence-based disease management. Within this framework, immunomics has emerged as a unifying concept that integrates multiple molecular layers to interrogate immune function as a dynamic system. Classical descriptive immunology in aquaculture has largely relied on limited panels of generic immune markers, bulk tissue analyses, and static end-point measurements, approaches that provide only partial insight into the complexity of host-pathogen interactions. In contrast, immunomics enables the simultaneous interrogation of genetic architecture, cellular heterogeneity, transcriptional programs, and metabolic state, thereby transforming immune responses from qualitative descriptors into quantitative, mechanistically informed, and increasingly predictive biological systems. Metagenomics further expands this perspective by incorporating host-associated microbial communities as integral components of immune development and disease susceptibility.</p>
</sec>
<sec id="s2">
<title>From genomic architecture to functional disease resistance</title>
<p>Genomics provides the foundational blueprint for immune potential and disease resistance in aquaculture species. Whole-genome sequencing (WGS) and resequencing approaches have enabled the identification of single nucleotide polymorphisms (SNPs) and structural variants associated with resistance phenotypes in fish (<xref ref-type="bibr" rid="B1">1</xref>), mollusks (<xref ref-type="bibr" rid="B2">2</xref>), and crustaceans (<xref ref-type="bibr" rid="B3">3</xref>). These studies have demonstrated that resistance traits are often oligogenic and shaped by complex genetic architectures rather than single major-effect loci (<xref ref-type="bibr" rid="B4">4</xref>). Importantly, the power of genomics is amplified when coupled with functional layers of analysis. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2025.1562307">Zhu et&#xa0;al.</ext-link> exemplify this integrative approach by combining genome-wide association studies (GWAS) with transcriptomic profiling to dissect resistance of <italic>Larimichthys polyactis</italic> to <italic>Pseudomonas plecoglossicida</italic>. Their identification of resistance-associated loci and the cGAS-STING signaling pathway, with <italic>sting1</italic> emerging as a key candidate gene, illustrates how genomic signals can be mechanistically anchored to immune pathways of direct biological relevance. Similarly, <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2024.1522666">Pereiro et&#xa0;al.</ext-link> demonstrate that genetic resistance may be partially constitutive. By comparing resistant and susceptible full-sibling families of turbot (<italic>Scophthalmus maximus</italic>), they revealed profound baseline transcriptomic differences in immune organs even in the absence of infection. Upon challenge with <italic>Aeromonas salmonicida</italic> subsp. <italic>salmonicida</italic> resistant fish displayed more controlled inflammatory responses and enhanced antigen presentation, reinforcing the concept that disease resistance is encoded not only in inducible responses but also in preconfigured immune states.</p>
</sec>
<sec id="s3">
<title>Transcriptomics as the cornerstone of aquaculture immunomics</title>
<p>Transcriptomics remains the most widely applied immunomics approach in aquaculture, owing to its affordability, sensitivity, and mature analytical pipelines. Bulk RNA sequencing has been instrumental in identifying immune pathways activated during bacterial (<xref ref-type="bibr" rid="B5">5</xref>), viral (<xref ref-type="bibr" rid="B6">6</xref>), and parasitic (<xref ref-type="bibr" rid="B7">7</xref>) infections, and in linking transcriptional programs to phenotypic outcomes such as survival, pathology, and tolerance. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2025.1575476">Hao et&#xa0;al.</ext-link> provide a clear example of the power of temporal transcriptomics by profiling the hepatopancreas of <italic>Macrobrachium rosenbergii</italic> following infection with Decapod iridescent virus 1 (DIV1). Their analysis revealed coordinated activation of lysosomal, phagosomal, and C-type lectin receptor pathways, alongside pronounced metabolic remodeling. These findings highlight how time-resolved transcriptomics can capture the dynamic progression of host defense mechanisms and identify intervention-relevant pathways. In parallel, transcriptomic studies have expanded beyond protein-coding genes to encompass non-coding regulatory layers. Long non-coding RNAs (lncRNAs) (<xref ref-type="bibr" rid="B8">8</xref>), circular RNAs (circRNAs) (<xref ref-type="bibr" rid="B9">9</xref>), and small non-coding RNAs (sncRNAs) (<xref ref-type="bibr" rid="B10">10</xref>) are now recognized as integral components of immune regulation, contributing to transcriptional control across diverse aquaculture species.</p>
</sec>
<sec id="s4">
<title>Resolving cellular heterogeneity through single-cell immunomics</title>
<p>While bulk transcriptomics has transformed the field, it inherently averages signals across heterogeneous cell populations. Single-cell and single-nucleus RNA sequencing (scRNA-Seq and snRNA-Seq) now enable the resolution of immune cell diversity, lineage specialization, and cell-type-specific response trajectories (<xref ref-type="bibr" rid="B11">11</xref>). <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2026.1713369">Aldersey et&#xa0;al.</ext-link> illustrate the transformative potential of single-cell immunomics through the analysis of the hepatopancreas of Pacific white shrimp (<italic>Litopenaeus vannamei</italic>) during <italic>Vibrio parahaemolyticus</italic> infection. By resolving distinct cellular populations, the study uncovered cell-specific activation of pathogen recognition receptors, humoral effectors, and potential toxin-responsive pathways, alongside profound metabolic reprogramming. These findings provide high-resolution insight into shrimp host-pathogen interactions and underscore the importance of cellular context at the single-cell resolution when interpreting immune responses. Despite these advances, single-cell immunomics in aquaculture species remains constrained by the absence, incompleteness, or fragmentation of references genomes, limited annotation of immune cell markers, and challenges in cross-species cell-type inference. Continued efforts in genome improvement, immune cell atlas generation, and comparative immunology will be essential to fully exploit scRNA-Seq and snRNA-Seq technologies in non-model aquatic organisms.</p>
</sec>
<sec id="s5">
<title>Immunometabolism as a central axis of host defense</title>
<p>Beyond gene expression, immune competence is tightly coupled to metabolic state. Proteomics and metabolomics offer direct openings into the effector molecules and biochemical pathways that execute and sustain immune responses. Although proteomic approaches face challenges related to cost and data complexity (<xref ref-type="bibr" rid="B12">12</xref>), they have yielded valuable insights into conserved immune mechanisms across vertebrates (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>) and invertebrates (<xref ref-type="bibr" rid="B15">15</xref>). Metabolomics has revealed that immune activation is intimately linked to metabolic remodeling. By capturing changes in small-molecule metabolites, metabolomic analyses illuminate how immune activation reshapes energy allocation and redox balance (<xref ref-type="bibr" rid="B16">16</xref>). This immunometabolic perspective is strongly reinforced across studies in this Research Topic. Both <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2025.1575476">Hao et&#xa0;al.</ext-link> and <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2026.1713369">Aldersey et&#xa0;al.</ext-link> report extensive metabolic reprogramming accompanying immune activation, while <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2025.1636453">Zhou et&#xa0;al.</ext-link> demonstrate how oxidative stress markers and antioxidant enzyme activities reflect immune perturbations during ectoparasitic infection. For instance, shifts toward glycolytic metabolism are associated with pro-inflammatory effector functions, including enhanced phagocytosis and antimicrobial activity, whereas oxidative and lipid-based metabolic programs support immune resolution, antioxidant defense, and tissue repair (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Such metabolic polarization is evident in both vertebrate and invertebrate aquaculture species, underscoring immunometabolism as a functional driver. Together, these studies position immunometabolism not as a secondary consequence, but as a core axis of host-pathogen interaction in aquatic cultured species.</p>
</sec>
<sec id="s6">
<title>Barrier tissues and peripheral immune landscapes</title>
<p>Traditionally, immunological studies in fish have focused on primary immune organs such as the head kidney and spleen. However, omics technologies are increasingly revealing the importance of barrier tissues and peripheral organs as active immune interfaces. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2025.1636453">Zhou et&#xa0;al.</ext-link> investigated the response of <italic>Larimichthys crocea</italic> to infection with the scuticociliate parasite <italic>Metanophrys</italic> sp. by integrating enzymatic immune profiling across multiple tissues with skin transcriptomics. Their results identify the skin as a dynamic immune barrier, where antioxidant defenses, osmoregulatory (Na<sup>+</sup>/K<sup>+</sup>-ATPase) enzymes and immune effectors are coordinately regulated in response to the ectoparasite infestation. Comparison of the skin transcriptome between control and infested fish revealed numerous differentially expressed genes, providing valuable information about mechanisms of defense against this pathogen. Extending this tissue-centric view, <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2024.1528721">Appel et&#xa0;al.</ext-link> analyzed brain transcriptomes of Nile tilapia (<italic>Oreochromis niloticus</italic>) infected with distinct <italic>Streptococcus agalactiae</italic> serotypes. The contrasting immune and neuroendocrine responses elicited by different serotypes emphasize the functional relevance of non-canonical immune tissues. Importantly, omics-based analyses increasingly point to bidirectional crosstalk between peripheral barrier tissues and systemic immune organs, including emerging evidence for gut-brain communication and liver-centered immunometabolic axes (<xref ref-type="bibr" rid="B17">17</xref>). Signals originating in the skin, gut, brain, or liver can reshape immune cell composition, metabolic state, and activation programs in central organs such as the head kidney and spleen, reinforcing immunity as a distributed, interconnected system rather than a collection of isolated compartments.</p>
</sec>
<sec id="s7">
<title>Pathogen diversity and the need for context-aware immunomics</title>
<p>A recurring theme across studies in this Research Topic is that immune responses are profoundly shaped by pathogen identity, strain, and virulence strategy. The serotype-specific responses reported by <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2024.1528721">Appel et&#xa0;al.</ext-link> underscore the risk of oversimplification when extrapolating immune mechanisms across pathogens. These findings highlight the necessity of context-aware immunomics approaches that explicitly account for pathogen diversity when designing vaccines, immunostimulants, and experimental infection models.</p>
</sec>
<sec id="s8">
<title>Concluding perspectives</title>
<p>Collectively, the studies assembled in this Research Topic illustrate the transformative capacity of immunomics to resolve the complexity of immune systems in aquaculture species (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). By integrating classical and emerging omics layers, now increasingly combined with single-cell and systems-level resolution, immunomics is driving a conceptual shift from descriptive immunology toward predictive, mechanistically grounded strategies. As omics platforms continue to mature and converge, immunomics will play a central role in shaping sustainable, resilient, and precision-driven aquaculture systems. Beyond improving disease management, these approaches provide a foundation for rational breeding, targeted nutritional interventions, and anticipatory health strategies capable of supporting the growing global demand for aquatic food production.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Integrated immunomics framework in aquaculture. Classical and emerging omics layers (including genomics, transcriptomics, proteomics, metabolomics, metagenomics, and single-cell technologies) are computationally integrated to illustrate the scope of immunomics approaches capable of resolving immune complexity across biological scales and informing biomarker discovery, predictive modeling, and translational aquaculture strategies.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1788094-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating immunomics in aquaculture, comparing classical omics such as genomics and proteomics with emerging omics like single-cell analysis and metabolomics, highlighting computational integration, immunometabolism, actionable outputs, and their impacts on breeding, disease management, and sustainability.</alt-text>
</graphic></fig>
</sec>
</body>
<back>
<sec id="s9" sec-type="author-contributions">
<title>Author contributions</title>
<p>JG-V: Project administration, Visualization, Conceptualization, Supervision, Writing &#x2013; original draft, Resources, Writing &#x2013; review &amp; editing, Investigation. PP: Writing &#x2013; original draft, Project administration, Resources, Visualization, Investigation, Conceptualization, Supervision, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank Frontiers in Immunology for the opportunity to serve as Guest Editors of this Research Topic, and all contributing authors, reviewers, and editors for their engagement and valuable contributions throughout this process.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The author JG-V declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p></sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author JG-V declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If&#xa0;you identify any issues, please contact us.</p></sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
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