Search bioRxiv⌕ Search

Biology subjects

Zhang, R.

Publications and source records attributed to Zhang, R..

At least 37 records · Page 2Linked to original sources

Cis-element acquisition converts pervasive transcripts into translated mRNAs

Mammalian genomes produce many unstable non-coding transcripts (e.g., PROMPTs and eRNAs) that are rapidly degraded by the nuclear exosome. This study tests whether adding splicing and polyadenylation signals to endogenous non-coding loci can convert them into stable mRNAs. Using CRISPR-Cas9 knock-in in murine cancer cells, the authors show that both signals together render transcripts stable, polyadenylated, exported, and translated into protein. Quantitatively, polyadenylation extends half-life from ~20 minutes to ~12 hours, while splicing primarily drives nuclear export, with export efficiency predicting protein output. Interestingly, untranslated regions of naturally intronless genes can substitute for splicing, mainly by enhancing export. A genome-wide CRISPR screen implicates export, processing, and translation factors such as NXF1, PABPN1, and EIF3G in this conversion. Overall, defined cis-elements suffice to transform pervasive transcripts into functional mRNAs, with nuclear export as the key rate-limiting step. This provides experimental evidence for a potential evolutionary path by which non-coding loci can be co-opted into the coding genome.

molecular biology↗

MAPT regulates autophagic-lysosomal function and phagocytosis in human microglia

Tauopathies are characterized by the accumulation and spread of pathogenic tau aggregates throughout the brain, a process that is increasingly recognized to involve not only neurons but also microglia. However, whether pathogenic MAPT directly alters microglial degradative capacity remains poorly understood. Here, using isogenic human induced pluripotent stem cell-derived microglia carrying the pathogenic MAPT IVS10+16 mutation, we identify tau as a regulator of microglial lysosomal function. MAPT IVS10+16 microglia exhibited coordinated suppression of lysosomal and autophagic pathways, reduced lysosomal protease abundance and activity, and impaired autophagosome-lysosome fusion. Mutant microglia also showed reduced uptake of extracellular tau aggregates, reduced tau accumulation in acidic compartments, and a blunted lysosomal response to proteopathic stress. Conversely, genetic loss of MAPT increased lysosomal degradative capacity and accumulation of extracellular tau aggregates within acidic compartments, supporting a cell-intrinsic role for endogenous tau in regulating microglial degradative function. Pharmacologic enhancement of the autophagy lysosome pathway in MAPT IVS10+16 microglia increased proteolytic activity and improved tau handling. Together, these findings reveal a reciprocal relationship between tau and microglial lysosome function and identify degradative capacity as a modifiable component of the microglial response to tau pathology.

neuroscience↗

LINC00536 regulates transcriptional repressor TRPS1 in breast cancer

Metastatic breast cancer with complex molecular mechanisms of progression accounts for most cancer related deaths in women. To improve diagnosis and drug development, it is important to identify novel biomarkers and critical molecular pathways involved in tumor initiation and progression. Here, we profiled and analyzed the expression of long non-coding RNAs (lncRNAs) from three distinct stages of tumor initiation and progression (hyperplasia, adenoma, and carcinoma). We performed RNAseq on tumor and mammary epithelial cells derived from ROSAmT/mG tumor and non-tumor mice. We identified 1913 differentially expressed protein coding genes and 324 lncRNAs in breast cancer cells of all stages compared with normal mammary epithelial cells. Pearson correlation analysis correlated 93 differentially expressed lncRNAs with protein coding genes, providing a comprehensive lncRNA-protein coding genes co-expression network. Among them, we focused on Gm19303 which was paired with the differentially expressed protein coding gene, transcriptional repressor GATA binding 1 (Trps1), and identified its human counterpart as LINC00536. Both LINC00536 and TRPS1 are only overexpressed in breast cancer and correlate with poor prognosis of patient from the TCGA and GTEx databases. Single cell RNAseq data from the Atlas of Human breast cancers further confirmed that TRPS1 is upregulated in human breast cancer compared to normal human mammary tissue with highest expression in ER+ subgroup. In summary, our study explored the potential role of lncRNAs in breast cancer initiation and progression. *Implications statement: Our findings imply that human LINC00536/TRPS1 serves as a novel and early biomarker of cancer progression and a potential therapeutic target for breast cancer.

cancer biology↗

A virus co-opts vector's m⁶A machinery for adaptive compensation

Insect vectors harbor diverse viruses that threaten human health and agricultural production, yet the genetic basis of mutualistic virus-vector interactions remain elusive. This underscores a long-standing paradox in pest management: viruses that cause destructive diseases also facilitate vector adaptation in ways that benefit both parties. Here we show that the globally devastating tomato yellow leaf curl virus (TYLCV) acts as a Cooperative Partner, co-opting its vector's m6A epitranscriptomic machinery to offset the reproductive fitness costs of neonicotinoid resistance in the whitefly. In resistant vectors, TYLCV infection alleviates reproductive deficits via the m6A-dependent pathway, where the methyltransferase METTL14 and demethylase ALKBH4 coordinately stabilize vitellogenin (Vg) transcripts to boost female fecundity. Mechanistically, the viral C2 and CP proteins directly interact with METTL14 and ALKBH4, respectively, remodeling their RNA binding affinity to facilitate mA modification on Vg. Disrupting either of these viral-vector protein interactions restores a reproductive cost phenotype in viruliferous resistant vectors, offering novel targets for sustainable pest control. Our findings uncover a fundamental role of epigenetic marks in adaptive trait, reshaping beneficial virus-vector relationships and providing new insights for innovative public health and crop protection strategies to address global challenges.

microbiology↗

Pre-existing antibiotic tolerance facilitates plasmid-mediated carbapenem resistance evolution in clinical Klebsiella pneumoniae

Antibiotic tolerance enables bacteria to survive bactericidal antibiotic exposure and has been linked to resistance evolution in laboratory systems and individual infections, but its role in plasmid-mediated resistance evolution in clinical populations remains unclear. Here, we analyzed a longitudinal collection of more than 800 clinical Klebsiella pneumoniae isolates spanning 1997-2020. Among 779 minimum inhibitory concentration (MIC)-defined ertapenem-susceptible isolates, 137 (17.6%) displayed hidden ertapenem tolerance, defined by enhanced survival after 6 h at 30 times the isolate-specific ertapenem MIC, mostly without extended lag time or reduced growth rate. Tolerance was detected before local ertapenem introduction and was enriched among ertapenem-resistant isolates, supporting a population-level association between pre-existing tolerance and the emergence of carbapenem resistance. Genomic and plasmid-curing analyses separated plasmid-mediated carbapenem resistance from plasmid-independent antibiotic tolerance. Moreover, tolerant recipient backgrounds enhanced resistance plasmid acquisition, preserved viable recipients following antibiotic exposure and accelerated ceftazidime-avibactam resistance evolution. A phylogeny-guided variant-enrichment analysis further identified the uhpABC regulatory operon as a candidate tolerance-associated locus, and coordinated expression of the complete operon increased ertapenem survival. Together, these findings identify clinical antibiotic tolerance as a pre-existing, MIC-hidden phenotype that can facilitate plasmid-mediated carbapenem resistance evolution in K. pneumoniae.

microbiology↗

Melittin intervention induces lncRNA response, mitochondrial dysfunction, and cell proliferation in murine cervical cancer cells

Melittin exhibits antitumor activity in cervical cancer models, yet the long non-coding RNA (lncRNA) response and associated regulatory networks remain poorly understood. Here, strand-specific RNA-seq data from melittin-treated and untreated U14 murine cervical cancer cells were analyzed to characterize melittin-responsive lncRNAs and explore their potential functional associations. A total of 28,162 lncRNAs were identified, including 27,307 known and 855 novel transcripts. Differential expression analysis revealed 404 differentially expressed lncRNAs (DElncRNAs), comprising 191 upregulated and 213 downregulated lncRNAs, w most of which were predicted to localize to the cytoplasm or nucleus. Cis-target analysis identified 52 neighboring mRNAs as putative targets of 46 DElncRNAs. Functional enrichment highlighted mitochondrial electron transfer and redox-related processes, including the mitochondrial electron transfer flavoprotein complex, electron-transferring-flavoprotein dehydrogenase activity, ubiquinone binding, and quinone binding. In parallel, melittin induced mitochondrial membrane depolarization and increased intracellular reactive oxygen species accumulation in U14 cells. Co-expression analysis further identified 138 lncRNAs co-expressed with 161 mRNAs, which were enriched in chromatin remodeling, DNA replication, and DNA repair. EdU incorporation decreased with increasing melittin concentrations, indicating suppression of DNA synthesis and proliferative activity. RT-qPCR analysis confirmed the expression trends of selected DElncRNAs. Collectively, these findings demonstrate extensive remodeling of the lncRNA landscape in melittin-treated U14 cells and suggest that melittin-responsive lncRNA-mRNA networks are associated with mitochondrial redox disruption and impaired DNA synthesis. This study provides a transcriptomic framework for identifying candidate lncRNA-mRNA regulatory axes underlying the antitumor response to melittin.

cancer biology↗

A neurofunctional signature of romantic love predicts rewards on social media, effects of oxytocin and drug-cue reactivity

Romantic love is a selective motivational state supporting pair bonding, yet its neural representation and relation to other affiliative-rewarding experiences remain unclear. Across eight fMRI studies (n=420) spanning naturalistic affiliative-reward, pharmacological and addiction-relevant experiments, we developed and evaluated multivariate whole-brain decoders of romantic love and friendship. Both signatures engaged mesocorticolimbic reward systems and the precuneus, yet were dissociable at the whole-brain level and in their recruitment of social-cognitive systems. The love signature generalized to reward on social media, was specific to positive valence, and did not track sweet-taste or monetary reward, indicating a distinct social-affiliative reward representation. Oxytocin selectively increased love - but not friendship - signature reactivity to the romantic partner. In an independent drug-cue-reactivity dataset, the love signature specifically identified heavy cannabis users. These findings establish a dissociable neurofunctional signature of romantic love in conserved bonding circuits that extend to digital affiliation and are co-opted in addiction.

neuroscience↗

Plasma titration provides a physical ruler for cross-platform proteomics

Plasma proteomics is expanding across platforms and cohorts, and integrating these data for AI demands comparability at the protein level, not merely concordant associations1,2. Affinity and MS platforms use distinct probes (antibodies, aptamers, or peptides) and signal readouts, yielding contradictory cross-platform results3,4. Without a known quantitative truth, we cannot distinguish biology from measurement distortion, leaving no gold standard for integration. Here we introduce Plasmix--a plasma reference suite with predefined male:female ratios (M, 1:0; Y, 3:1; P, 1:1; X, 1:3; F, 0:1)--and show that preserving this quantitative titration gradient, not just technical repeatability, predicts cross-platform concordance and identifies protein measurements suitable for integration. Profiling Plasmix across five platforms (Olink, SomaScan, NULISA, AAgAtlas, and MS-DIA) and 12 protocols across 17 batches, we found discordance is dominated by signal generation, not sample identity, and platforms distort signals in a protein-specific manner. Crucially, proteins retaining the titration response showed stronger agreement in an independent cohort; anchoring to the Plasmix midpoint (P) via sample-to-reference ratios reduced distortions, extending harmonizable coverage by 10-20%. Plasmix thus provides a physical ruler to benchmark accuracy, identifying genuinely integrable measurements before pooling datasets or training AI models--a critical bottleneck for plasma proteomics.

molecular biology↗

Pseudouridines in the U2 Branch Site Recognition Region Differentially Contribute to Branch Site Recognition during Pre-mRNA Splicing

Pseudouridines ({Psi}s) are highly enriched in conserved, functionally critical regions of spliceosomal snRNAs, particularly within the U2 branch site recognition region (BSRR), which contains six {Psi}s in humans and three in S. cerevisiae. To investigate how U2 BSRR pseudouridylation influences branch site sequence (BSS) recognition, we developed a large-scale, high-throughput screening system in S. cerevisiae that allows a library of pre-mRNAs with randomized BSSs to be spliced in distinct U2 BSRR pseudouridylation backgrounds. Screening and next-generation sequencing (NGS) revealed that different U2 pseudouridylation backgrounds exhibit distinct recognition patterns and efficiencies for specific BSSs. Notably, {Psi}42 and {Psi}44 generally enhanced splicing, whereas {Psi}38 alone, and in some contexts together with {Psi}35, consistently impaired BSS recognition. The differential effects were validated using endogenous S. cerevisiae genes. In addition, splicing assays with engineered pre-mRNA constructs guided by the screening results demonstrated that BSRR {Psi}s directly influence BSS selection, supporting a model in which U2 pseudouridylation modulates BSS recognition and could contribute to alternative splicing in more complex eukaryotes. Finally, synthetic-lethality analyses with a Prp5 mutant, together with Prp5-U2-pre-mRNA binding assays, indicate that U2 BSRR {Psi}s are critical for Prp5 recruitment and, consequently, for proper U2-BSS interactions during spliceosome assembly. Collectively, these findings establish U2 pseudouridylation as a key determinant of branch site recognition and spliceosome function.

molecular biology↗

A hierarchical orthology framework reveals viral carbohydrate-active genes across the global virosphere

Carbohydrate-active enzymes (CAZymes) shape virus-host interactions by modifying virion structures, host surfaces and extracellular glycans. However, the diversity and evolutionary origins of viral carbohydrate-active enzymes remain poorly understood, partly due to limited viral protein annotations. To address this, we present VirGenes, a database of viral orthologous groups constructed from the KEGG viral gene dataset. VirGenes uses a hierarchical framework that integrates sequence similarity, remote homology, and structural similarity to support evolutionary and functional analyses of viral proteins. By screening the sequence space of VirGenes, we identified 558 CAZyme-associated gene clusters spanning 102 CAZyme families, revealing particularly enriched repertoires in dsDNA viral lineages. Two bacteriophage families, Kleczkowskaviridae and Pootjesviridae, encoded more than 10 CAZymes per genome, followed by Mimiviridae, a representative family of eukaryotic giant viruses. Phylogenetic analyses systematically revealed divergent evolutionary histories of viral carbohydrate-active genes, including frequent horizontal transfer of endolysin genes from bacteria, which likely represents a viral strategy in the ongoing evolutionary arms race with their cellular hosts. Within the structural space of VirGenes, a large number of viral genes were found to contain CAZyme-like folds despite more than 85% of them lacking detectable sequence similarity to annotated CAZyme sequences. Notably, numerous hypothetical sequences from giant viruses exhibited glycoside hydrolase-like five-bladed {beta}-propeller folds. Overall, by integrating sequence, structural and functional evidence, we show that viral carbohydrate-active systems exemplify how distributed innovations, constrained by ancient folds, collectively build the functional complexity of the global virosphere. VirGenes is publicly accessible at https://www.genome.jp/vogdb/.

bioinformatics↗

Dendrite-specific synaptic inputs onto dopaminergic SNc neurons

Substantia nigra pars compacta (SNc) dopaminergic neurons integrate synaptic inputs through dendrites that project laterally within the SNc and ventrally into the substantia nigra pars reticulata (SNr), which then determines dopaminergic output. We use spatially-specific optogenetics to map excitatory subthalamic nucleus (STN) and pedunculopontine nucleus (PPN) as well as inhibitory SNr inputs that provide feedforward inhibition onto SNc neurons. Using multiple GABAergic mouse lines, we find that SNr inputs selectively inhibit SNc somas and proximal dendrites without preference for SNr versus SNc dendrites. Using glutamatergic mouse lines, we find that PPN inputs selectively excite somas and proximal dendrites, while STN inputs selectively excite SNr dendrites, mirroring dendrite-selective inhibition from striosomes. These findings reveal a high level of spatial organization in SNc synaptic inputs and point to separate functional roles for STN versus PPN control of dopaminergic activity. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=147 SRC="FIGDIR/small/742307v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@ac8c5borg.highwire.dtl.DTLVardef@32cb89org.highwire.dtl.DTLVardef@d08f79org.highwire.dtl.DTLVardef@7b546d_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Deciphering the Effect of Melittin on Murine Cervical Cancer Cells Based on Transcriptomic Investigation

Melittin, a highly active natural antimicrobial peptide derived from honeybee venom, holds immense pharmacological potential against solid tumors. However, its specific anti-tumor efficacy and transcriptomic dynamics in cervical carcinoma remain to be systematically characterized. This study evaluated the anti-cancer properties of melittin on murine U14 cervical cancer cells following by transcriptomic investigation of the underlying mechanism. Phenotypic evaluations revealed that melittin potently inhibited U14 cell viability, while wound healing assays demonstrated a profound, dose-dependent suppression of cellular migration, culminating in near-complete migratory arrest at high concentrations. Furthermore, flow cytometry quantified a dramatic, dose-dependent surge predominantly in late apoptotic cell populations. These apoptotic events were structurally corroborated by scanning electron microscopy (SEM), which revealed severe plasma membrane perforation and morphological exhaustion. Enrichment analyses indicated that the physical membrane disruption inflicted by melittin translated into a severe metabolic crisis, marked by a global suppression of ribosomal biogenesis and mitochondrial oxidative phosphorylation. Furthermore, melittin profoundly repressed the Tie2-mediated angiogenic pathway (Etv2 down-regulation) while triggering the lethal hyperactivation of the AP-1 transcriptional stress complex (Jun, Fos, Fosb). Collectively, these findings elucidate the pharmacological networks underlying melittins cytotoxicity, providing solid molecular evidence for its development as a natural therapeutic agent against cervical cancer.

cancer biology↗

Transcriptomic datasets of melittin- and un-treated murine cervical carcinoma U14 cells

Melittin, a potent amphipathic cationic peptide derived from bee venom, exhibits broad-spectrum antineoplastic efficacy, notably against cervical carcinoma. Despite its established therapeutic potential, the global transcriptional reprogramming orchestrating its acute multi-pathway cytotoxicity remains incompletely understood. To bridge this knowledge gap, we generated the first comprehensive, untargeted RNA-seq dataset profiling the acute phase of melittin-induced cell death in murine cervical carcinoma U14 cells (exposed to 4 g/mL melittin for 20 minutes) alongside untreated controls. Utilizing deep sequencing and rigorous bioinformatics workflows, we quantified genome-wide mRNA abundances and mapped a distinct transcriptomic shift, identifying 254 significantly differentially expressed genes, comprising 158 up- and 96 down-regulated transcripts. Validated by stringent quality control metrics, exceptional genomic mapping rates, and comprehensive functional annotations via the GO and KEGG databases, this high-resolution transcriptomic resource provides a systems-level map of early molecular alterations. All raw and processed sequencing data are publicly available. This transcriptomic resource provides a valuable foundation for elucidating the acute regulatory networks underlying melittin-induced anti-cervical cancer effects. DatasetThe dataset can be accessed through the NGDC website by searching with the BioProject accession number PRJCA068439. Reviewers may use this link for anonymous access during the review process. Direct URL to data: Genome Sequence Archive-CNCB-NGDC

genomics↗

Characterizing Functional Clusters of V4 Neurons in Digital Twins

Neurons in primate visual cortical area V4 display tuning for multiple visual features, including color, shape, texture, and depth. Whether and how these neurons are organized into functional architectures remains largely unknown. Using two-photon calcium imaging in anesthetized macaques, we recorded responses of hundreds of V4 neurons to natural images and used these data to train deep convolutional neural network models (digital twins), obtaining synthetic images (SI) that maximized neuronal responses. Based on their SIs, these neurons clustered into classes that spatially matched the orientation, color, and curvature maps from intrinsic signal imaging. Furthermore, lesion study in digital twins revealed different integration rules for different neuron classes. Thus, digital twins of V4 neurons can be applied as a promising tool to characterize neurons fundamental features, which underlie the functional clustering in this area. HighlightsO_LINeurons in V4 are examined with two-photon calcium imaging and DCNN modeling (digital twins) C_LIO_LISynthetic images derived from neurons digital twins reveal distinct neuron groups C_LIO_LIThese groups match functional types defined by intrinsic signal optical imaging C_LIO_LILesion study in digital twins demonstrates neural mechanisms underlying feature tuning C_LI

neuroscience↗

The CD19-4-1BBL antibody fusion protein unleashes the immune system against high-risk chronic lymphocytic leukemia

CD19-4-1BBL is a bispecific antibody fusion protein that targets CD19 and costimulates 4-1BB on T cells and other immune cells. Its antitumor activity has been reported in B-cell non-Hodgkin lymphoma with emphasis on its T-cell mediated cytotoxic activity. Its effect on other 4-1BB expressing immune cells is unexplored. Here, we investigated the molecular mechanisms and the antileukemic effect of CD19-4-1BBL in chronic lymphocytic leukemia (CLL), a B-cell malignancy profoundly marked by the immunosuppressive activity of myeloid-derived suppressor cells, tumor-associated macrophages and CD4+ regulatory T cells. We demonstrated that CD19-4-1BBL simultaneously mitigates the immunosuppressive phenotype and transcriptome machinery of these cells and promotes antitumor CD8+ T-cell immunity. Finally, in a preclinical, patient-derived xenograft model of CLL, we observed a favourable survival impact, especially in mice transplanted with immune cells from patients with high-risk/progressive leukemia. Our findings provide evidence that the CD19-4-1BBL treatment is a multifaceted, immune-based strategy that should be clinically explored in patients with chronic lymphocytic leukemia. KEY POINTSO_LICD19-4-1BBL sharpens the myeloid cell transcriptome and stimulates diverse memory CD8+ T cell clonotypic responses. C_LIO_LICD19-4-1BBL costimulation can be therapeutically exploited in high-risk chronic lymphocytic leukemia. C_LI

immunology↗

Coupling of tubulin acetylation to microtubule stabilization through molecular mimicry

Microtubules support diverse cellular functions through regulation by microtubule-associated proteins and tubulin post-translational modification, yet how these two layers are mechanistically integrated remains unclear. -tubulin acetylation marks mechanically resilient microtubules, and its incorporation in defined microtubule sub-populations is not well understood. Here, we identify MTCL1 as a molecular link between microtubule stabilization and post-translational modification installation. We find that MTCL1 stabilizes microtubules and alters the luminal surface when copolymerized with tubulin, remodeling -tubulin and enhancing TAT-mediated tubulin acetylation through molecular mimicry. This effect depends on assembly history and is not observed in pre-assembled microtubules. Targeted deletion of MTCL1 in zebrafish impacts axonal organization, leading to motor defects and increased seizure susceptibility. These findings establish MTCL1 as a licensing factor that couples microtubule stabilization with acetylation to regulate neuronal function.

biophysics↗

Connectome-scale self-supervised representation learning reveals neuronal organization beyond canonical labels

Dense electron-microscopy connectomes provide synaptic-resolution maps of neuronal structure and wiring, but learning scalable representations that integrate structure and connectivity for connectome discovery with minimal human intervention remains difficult. Here we present a self-supervised framework for structure-connectivity representation learning in dense connectomes. A hierarchical graph neural network with skeleton decomposition enables contrastive learning from finely sampled FlyWire neuronal skeletons, showing that fine skeletons preserve substantially richer identity information than coarse representations. Coordinate-free topology reduces developmental and geometric confounds, improving clustering and label-efficient inference. We then use learned structural embeddings as continuous descriptors of synaptic partners to construct structure-driven connectivity representations, improving subtype discrimination without predefined partner-type labels. Iterative multi-hop learning further reveals higher-order organization, including hemispheric connectivity lateralization and connectivity-defined subgroups. Attention analysis links these differences to specific synaptic partners. Together, these results establish a self-supervised and scalable framework for discovering neuronal identity and connectome organization in a large-scale dense connectome.

neuroscience↗

Ecological genomics of a novel host-parasitoid arms-race in nature

Novel antagonistic interactions between species are expected to drive especially rapid coevolution. However, little is known about the genomic basis of such coevolution in nature because novel inter-specific interactions are rarely observed. Here, we study two species that recently came into first contact in Hawaii, the parasitoid fly Ormia ochracea and its cricket host Teleogryllus oceanicus. The fly locates crickets acoustically using their song, and parasitism usually results in host death. In response, protective male-silencing mutations have rapidly spread through cricket populations over the last [~]25 years, imposing novel selective pressure on flies. By integrating population genomic analyses of 358 re-sequenced flies with field surveys of selection imposed by host adaptations, we discover genomic signatures of recent selective sweeps driven by host adaptations, indicative of escalating arms-race dynamics. This evolutionary response is occurring despite severely depleted genetic variation after bottlenecks in Hawaiian fly populations. Comparative analyses suggest that the genomic substrate of modern-day, rapid counter-adaptation in O. ochracea has been under positive selection on intermediate and long-term timescales across parasitoid flies. Our findings thus support predictions of influential arms race coevolution models and illustrate the current and ancient genomic bases of counteradaptation in nature.

evolutionary biology↗