Biology subjects

Xia, C.

Publications and source records attributed to Xia, C..

At least 19 recordsLinked to original sources

bioRxiv2026

Endosperm secretion remodels the maternal seed coat

In flowering plants and mammals, maternal tissues must accommodate the growth of the offspring they enclose. The maternal seed coat expands around the developing embryo and endosperm. Endosperm pressure and hormonal signals coordinate seed-coat development1,2, but whether the endosperm directly promotes maternal cell elongation remains unclear. Here we show that the coenocytic Arabidopsis endosperm directly supplies cell-wall-loosening proteins to maternal seed-coat walls. The seed-size-regulating HAIKU-WRKY10 pathway activates an endosperm secretory programme enriched in cell-wall-associated proteins. These proteins spread through a shared extracellular domain across multiple inner seed-coat layers, revealing an extensive functional maternal-filial interface through which the endosperm reaches maternal cells it does not directly contact. Among these proteins, three expansins are necessary and sufficient for maternal cell elongation and seed growth. The endosperm therefore promotes its own growth by enabling expansion of the maternal tissues that enclose it. Paternal DNA methylation and maternal Polycomb activity jointly regulate this programme, with Polycomb also required for timely shutdown of expansin expression. These findings link parental epigenetic states to maternal tissue expansion through proteins supplied by the offspring. This cross-generational control of growth parallels epigenetically regulated signaling from mammalian extraembryonic tissues3, suggesting a shared strategy for adapting the maternal environment to offspring development.

plant biology↗

bioRxiv2026

CucurbitAgent: An AI agent for exploring cucurbit multi-omics resources

Functional genomics in crops increasingly depends on integrating information from an extensive literature and heterogeneous multi-omics datasets. Large language models (LLMs) offer a powerful approach to synthesizing these resources and revealing hidden connections across datasets; however, they frequently hallucinate, producing plausible but unsupported claims, when responding to gene-specific queries. Here, we present CucurbitAgent, an AI research agent for functional genomics in the Cucurbitaceae, a major family of horticultural crops. CucurbitAgent integrates multi-omics resources from nine cultivated cucurbit species and more than 18,000 publications, encompassing approximately 256,000 genes, tissue-resolved expression profiles, over 16 million natural genetic variants, and roughly 242,000 predicted protein structures with more than 14 million predicted binding-site residue annotations. Responses link retrieved evidence to source records, including gene entries, expression measurements, structural predictions, and literature passages. On a curated benchmark of 50 tasks assessed by domain experts under blinded conditions, CucurbitAgent achieved an overall pairwise win rate of 96.0% against nine general-purpose LLMs, based on weighted scores for factual accuracy, completeness, relevance, and traceability. The platform is freely available at https://cucurbitagent.com and supports queries in 37 languages collectively spoken by an estimated 70% or more of the world's population. CucurbitAgent not only unifies evidence retrieval and interpretation but also reveals latent associations across datasets, helping researchers formulate testable hypotheses and substantially accelerating candidate-gene research. Its framework is readily transferable to other crops and, more broadly, provides a blueprint for building specialized agents in any domain.

bioinformatics↗

bioRxiv2026

The Human Contraceptive Antibody Targets A Semenogelin Galectin-3 N-Linked Glycan Complex on the Sperm Surface

The human contraception antibody (HCA) is a non-hormonal topical contraceptive entering Phase II clinical trials that functions by agglutinating and immobilizing sperm. To date, the HCA epitope has been described as an N-linked polylactosamine glycan motif on CD52, but this assignment has been inferred only by colocalization with anti-CD52 and S19 antibodies in western blots. Here, we report that HCA may instead bind semenogelin-galectin-3 complexes associated with the sperm surface. Semenogelins are gel forming, highly glycosylated proteins, with molecular weights of 50-70 kDa that are cleaved into smaller segments that adhere to sperm during semen liquefaction. In this study, we isolated the HCA antigen from seminal plasma and sperm using an HCA affinity column and identified semenogelin by mass spectrometry. Western blot analysis of seminal plasma showed that HCA binds to a large smear of proteins with a higher apparent molecular mass than CD52, and that these may correspond to semenogelin sequences. Flow cytometric analysis of enzymatically deglycosylated sperm demonstrated that HCA binding requires sperm surface N-linked glycans. However, despite this apparent glycan dependence, HCA failed to bind any glycans represented on a comprehensive glycan microarray. In addition to semenogelin, Galectin-3 was identified in the HCA purified sperm lysates, supporting a model in which HCA recognizes semenogelin-derived glycopeptides that are tethered to the sperm surface via a galectin mediated interaction with an N-linked glycan. We found that O-linked glycan modifications on the semenogelin proteins contain LacNAc motifs that can bind to galectins. Finally, we found that depletion of galectins bound to the sperm surface by competitive inhibitors reduced HCA-mediated agglutination, and this could be rescued by addition of recombinant galectin-3/semenogelin-2 complexes to sperm cultures. Collectively, our findings suggest that HCA's binding site involves a semenogelin-galectin-3 complex anchored to the sperm surface via an N-linked glycan.

immunology↗

bioRxiv2026

Systematic mapping of enhancers, silencers, and topological elements with prime editing deletion screens

Noncoding regulatory elements in the human genome can control gene expression through distinct mechanisms, including acting as enhancers, silencers, or topological elements. However, we lack tools to identify all such classes systematically and quantify their effects on gene expression in an endogenous genomic context. Here we develop Swap-seq, a method that combines pooled twin prime editing with flow-sorting to delete hundreds of endogenous regulatory sequences and measure their quantitative effects on the expression of a nearby gene. We apply Swap-seq to dissect the regulatory elements that control PPIF expression in THP-1 monocytes. We quantify the effects of distal and intronic enhancers, characterize CTCF insulators, and discover a silencer that regulates distal genes through histone deacetylase (HDAC)-mediated repression of neighboring enhancers. Hundreds of other genomic elements share its chromatin signatures and transcription factor binding sites, suggesting that this silencer represents a broader class of repressive elements. We leverage Swap-seq data to benchmark sequence-to-function models and show that they often capture the local activity of regulatory elements but fail to link them to distal target genes. Swap-seq thus provides a generalizable tool to discover regulatory elements across mechanistic classes, characterize their effects on gene expression, and generate large-scale datasets for evaluating sequence-to-function models.

genomics↗

bioRxiv2026

Single-cell DNA cytometry with magnetic- and fluorescence-activated bead sorting

Many clinically important cell populations are defined by intracellular DNA or RNA signatures, but isolating and profiling these cells remains difficult. Probe-based in situ hybridization strategies that are compatible with cytometry have difficulty resolving low-abundance transcripts, integrated provirus, or single-copy genomic mutations. In contrast, droplet digital PCR achieves single-molecule sensitivity; however, subsequent cell isolation requires specialized microfluidic sorters that are slow and not widely available. Here, we introduce magniFIND-seq, a nucleic acid cytometry platform that combines the sensitivity of digital PCR with commercial magnetic-activated (MACS) and fluorescence-activated (FACS) sorting instruments. Single-cell genomes and transcriptomes are captured in agarose beads, target sequences are detected by digital PCR, and bead-bound amplicons are labeled with magnetic or fluorescent probes. Controlled evaporation shrinks beads from 55 to 20 m, enabling scalable magnetic separation, fast single-bead FACS sorting, and their combination for high-purity recovery of rare populations. Using magniFIND-seq, we demonstrate multiplexed single-copy detection and FACS-based isolation of simian immunodeficiency virus proviral pol and env targets. Separately, using BCR::ABL1 as a disease-defining target, we enrich chronic myeloid leukemia cells and recover single-cell transcriptomes that resolve tyrosine kinase inhibitor-resistance programs. magniFIND-seq extends the throughput and accessibility of nucleic acid cytometry by engineering compatibility with commercial instruments.

bioengineering↗

bioRxiv2026

A cross-kingdom interactome predicted by AlphaFold3 reveals a DNF2-centered interface required for symbiotic accommodation

Legumes convert atmospheric nitrogen into ammonium through symbiotic bacteria housed in root nodules, yet the molecular interactions between rhizobial and host proteins inside nodules remain poorly understood. Here we employed AlphaFold3 to construct a cross-kingdom interactome between Medicago truncatula and its symbiont Sinorhizobium meliloti. Screening more than 217,000 protein pairs yielded 7,137 putative interactions, providing a valuable resource for the broader symbiosis community. Within this network, we focused on DEFECTIVE IN NITROGEN FIXATION 2 (DNF2), a host protein required for rhizobial persistence within nodules. We showed that DNF2 localizes to the peribacteroid space and associates with previously uncharacterized secreted rhizobial proteins (SRPs), suggesting it may function as a hub for host-symbiont communication. Notably, knockout of two DNF2-interacting proteins, SRP86 and SRP485, results in white, nitrogen-fixation-deficient nodules with abnormal symbiosomes and elevated expression of senescence-associated genes, closely phenocopying the dnf2 loss-of-function mutant. Together, our findings define a DNF2-SRP molecular framework underlying symbiotic accommodation, and illustrate the potential of AI-guided interactome mapping to uncover molecular mechanisms of plant-microbe interactions with relevance to sustainable agriculture.

plant biology↗

bioRxiv2026

PlantAI: A Multi-Agent System for Plant Functional Genomics Analysis and Biological Knowledge Interpretation

Plant functional genomics requires the integration of sequence, expression, evolutionary, regulatory and literature evidence. However, the corresponding analyses are often distributed across disparate programs, scripts and databases, creating substantial barriers to task organization and result interpretation. Here, we present PlantAI, a multi-agent system that integrates bioinformatics analysis, project-level process tracking and knowledge-assisted interpretation. A Main Agent coordinates two complementary routes: an analysis route that invokes bioinformatics tools for RNA-seq and gene-family analyses, and a knowledge route that uses PlantAI-RAG for knowledge retrieval and evidence synthesis. PlantAI-RAG currently contains 31,207 plant-science literature records, comprising approximately 3.82 million normalized entities and 8.25 million literature-supported relation assertions. In an evaluation using plant-science questions, it achieved a Gold evidence-assertion recall of 86.7%, while strict accuracy ranged from 77% to 82% across three independent evaluator models. We further demonstrate an end-to-end task using 24 rice RNA-seq libraries collected under salt stress, spanning transcriptome analysis, candidate-family screening, HXK/HKL family analysis and knowledge-assisted interpretation, and prioritize OsHXK8 for experimental validation. By preserving analysis artifacts, run manifests, logs and environment records, PlantAI supports result verification and repeat execution while linking project-derived results to traceable literature evidence. Together, these capabilities provide an integrated and auditable framework to support plant functional genomics research.

bioinformatics↗

bioRxiv2026

GAMETE maps the genetic architecture of chromatin accessibility in rice pollen at single-nucleus resolution

BackgroundDissecting the genetic basis of cell-type-specific gene regulation during gametogenesis remains a major challenge. Population-level studies mask cellular heterogeneity, while the extreme data sparsity of single-cell profiling has precluded robust genetic mapping. ResultsWe present GAMETE (Genetic Architecture Mapping of Epigenetic Traits at single-nucleus resolution), an integrated framework combining MPS-ATAC-seq, a high-throughput single-nucleus ATAC-seq method, with robust computational approaches for genotype inference and genetic mapping from sparse single-nucleus data. Applying GAMETE to hybrid rice pollen, we simultaneously profiled chromatin accessibility and inferred the genotypes of 4,887 individual haploid nuclei, revealing distinct chromatin landscapes across pollen cell types. This uncovered an unexpected elevation of chromatin accessibility at gypsy retrotransposons in microspores preceding their silencing in sperm cells, exposing a surveillance gap that may contribute to genome expansion. The synchronized profiling enabled us to construct a single-cell recombination map, map segregation distortion loci and trace their developmental origins, and identify 16,113 chromatin accessibility QTLs (caQTLs), 48.6% of which exhibited pronounced cell-type specificity. Analysis of introgression lines supported a cell-type-specific trans-acting caQTL regulating the pollen-essential gene DTM1. ConclusionsThis work establishes GAMETE as a broadly applicable framework for dissecting the genetic architecture of chromatin accessibility during gametogenesis without the need for subsequent generations.

genomics↗

bioRxiv2026

4D spatial transcriptomics reveals nodule identity emerges through stacked parallel developmental programs

Legume root nodules enable symbiotic nitrogen fixation through the development of specialized cells that accommodate nitrogen-fixing bacteria intracellularly and support bacterial nitrogenase activity. Here, we present a 4D (3D space and time) spatial transcriptomic atlas of Medicago truncatula nodules and lateral roots, revealing specialized symbiotic cell types that develop alongside a conserved lateral-root-derived program that underpins vascularization. Spatial profiling of both plant and bacterial transcripts resolves distinct transcriptional states and previously unrecognized cell states. Spatial analysis of developmental regulator mutants uncovers a cascading series of cell-type-specific programs during nodule maturation. LSH1/LSH2 are central regulators of these programs, and lsh1/lsh2 mutants exhibit collapse of hormonal gradients and nodule identity. Strikingly, loss of nodule identity collapses to a primary-root identity rather than lateral-root fate. This work reveals how tissue complexity emerges through stacked developmental programs sustained in distinct cellular compartments, allowing the emergence of cell types specialized for harboring nitrogen-fixing bacteria. HIGHLIGHTSO_LI>136,000 cells define a 4D spatial atlas of nodules and lateral roots C_LIO_LI3D spatial and dual-species analysis resolves dynamic host and rhizobial cell states C_LIO_LIA shared meristem generates 3 spatially coordinated symbiotic, non-symbiotic, and vascular cell programs C_LIO_LILSH1/LSH2 are critical for regulatory programs underlying nodule development and identity C_LIO_LINodule identity loss collapses toward a primary root-associated state, not a lateral root fate C_LI

plant biology↗

bioRxiv2026

A transcription factor-pair work in concert to regulate gene expression across the life cycle of the pinewood nematode, Bursaphelenchus xylophilus

The migratory endoparasitic pinewood nematode (PWN), Bursaphelenchus xylophilus, is the causal agent of pine wilt disease, causing significant economic and ecological losses in conifer forest ecosystems in Europe and Asia. Understanding the molecular mechanisms regulating PWN parasitism-related genes may lead to new sustainable solutions for control. Based on previous PWN transcriptomic datasets from the pre-parasitic and parasitic stages and from the pharyngeal gland cells (GC), an in silico analysis was performed to identify transcription factors (TF) highly expressed in the GC. Seven candidates TF genes were selected, and their spatial expression validated by in situ hybridisation. From those, two GC-expressed TFs, BXY_079 and BXY_022, each encoding zinc finger domains, were successfully knocked down by RNA interference. Transcriptomic data from silenced BXY_079 and BXY_022 TFs, analysed with existing life cycle specific transcriptomic data, showed that both TFs control genes expressed at similar times, by repressing male-related genes while activating genes expressed during the J3 and D3 stages, yet each represents the extreme of the others minor function. In addition to these common roles, BXY_079 also activates parasitism-related genes in the J2 stage. These BXY_079-activated parasitism-related genes predominantly encode proteins with lytic functions, including secreted peptidases and glycoside hydrolases. Consistent with their proposed role in parasitism, these genes are highly expressed during the parasitic juvenile stages and are likely involved in nematode feeding, tissue penetration, and migration within the host. In contrast, BXY_022 also represses the expression of several genes related to the reproduction system, such as major sperm proteins and cytosolic motility proteins, particularly in the adult male stage. Taken together, both dual-functional TFs work together, non-redundantly, to regulate gene expression across the life cycle, while each is additionally specialised to regulate diverse and distinct gene sets: ranging from genes implicated in lytic parasitic functions to sexual dimorphism.

pathology↗

bioRxiv2026

Antagonistic action of a nuclear hormone receptor pair coordinates a switch from lytic to biotrophic effector production in a plant-parasitic nematode

Pathogens secrete overlapping and sequential waves of effectors to manipulate their host, and yet the regulators that conduct the ensemble are poorly understood. Here, we identify the Dorsal Gland Regulator DGR-1 in the beet cyst nematode Heterodera schachtii. DGR-1 controls the expression of 131 putative effectors, acting as a dual-functional switch that "switches off" early stage effectors involved in plant invasion, and "switches on" later stage effectors associated with biotrophic establishment in the host. Interestingly, DGR-1 works antagonistically with the only other known transcriptional regulator of effectors in plant-parasitic nematodes, the Subventral Gland Regulator-1 (SUGR-1), to coordinate this apparent switch from lytic to biotrophic effector production. Together, DGR-1 and SUGR-1 control the expression of nearly one half of all H. schachtii early-stage effectors, and over one fifth of effectors of any kind. The requirement to activate lytic effector functions in the cortex, and biotrophic effector functions in the vascular cylinder, suggests that this transcription factor pair must differentially respond to signals from the host. Consistent with this, we find that diffusates from the roots of A. thaliana Casparian strip mutant myb36/sgn3, which are enriched in molecules ordinarily restricted to the vascular cylinder, upregulate dgr-1, but not sugr-1, compared to Col-0. Taken together, these data indicate that H. schachtii responds to compartmentalised host-derived signals to appropriately regulate spatiotemporal effector expression during infection. Given that misregulating DGR-1 results in delayed development of parasitic nematodes in Arabidopsis and Mustard, strategies which impair effector regulation as a whole may hold promise for crop protection against these agriculturally important pathogens.

pathology↗

bioRxiv2026

Better late than never: the impact of hatching time on Heterodera schachtii parasitism

Plant-parasitic nematodes are a diverse, polyphyletic group of plant pathogens which can infect most plant tissues and all major crops. Amongst the most damaging clades are the cyst nematodes, which can remain dormant in the soil for decades as infection-competent, developmentally arrested, second-stage juveniles in eggs. Hatching is stimulated by a variety of factors. However, the impact of hatching factor responsiveness on nematode morphology, physiology, gene expression, and infection biology has not been explored. We examined the impact of hatching time on the beet cyst nematode, Heterodera schachtii. We found that late hatchers invaded host roots and established feeding sites in greater numbers than early hatchers. We demonstrate variation in baseline parasitism gene expression and in responsiveness of genes to effectostimulins, small, plant-derived molecules which upregulate parasitism genes. Three quarters of effectostimulin-induced transcriptional changes were also modulated, either positively or negatively, by hatching time. While there were no observable morphological differences between early and late hatching nematodes on the day of their emergence from the egg, the late hatchers displayed signs of faster utilisation of internal energy reserves after 7 days at 4{degrees}C, as evidenced by less body area attributed to fat, than early hatchers. Finally, we found no evidence of substantive genetic differences between early and late hatchers, they were representative of a single population, despite the observed differences in infection, gene expression, and physiology. Taken together, non-genetic differences likely drive late hatchers to more rapidly utilise their internal energy reserves, to be more responsive to host-derived signals, and to be ultimately more infective than their early hatching counterparts.

molecular biology↗

bioRxiv2026

OryzaG3: A Single-species Genomic Foundation Model Pretrained on Rice Pangenome

While multi-species genomic language models have advanced biological representation learning, high-quality, single-species foundation models for crops remain scarce. Leveraging recently expanded rice pangenome resources, we introduce OryzaG3, a species-specific DNA language model with 700M parameters. OryzaG3 was pretrained on 59.20 Gb of chromosome-level sequences from 149 high-quality rice genomes using a non-overlapping 3-mer tokenization strategy and a causal language modeling objective, featuring context-length variants up to 32k tokens. On the Plants Genomic Benchmark polyA prediction task, OryzaG3 achieves competitive predictive performance against leading multi-species models while delivering a four-fold increase in inference throughput under identical long-context conditions. Ultimately, OryzaG3 demonstrates that lightweight, single-species foundation models trained on high-quality pangenomes can match multi-species benchmarks while significantly reducing computational overhead. This work provides a scalable framework for rice functional genomics, molecular breeding, and targeted crop foundation model development.

bioinformatics↗

bioRxiv2026

Glycoconjugate diversification in Campylobacter concisus is determined by two glycosyltransferases

Bacterial glycoconjugates are structurally diverse, with enormous variation in sugar identity, modifications and linkages. Glycoconjugates play key roles in numerous cell functions, acting as the primary interface with the environment. Asparagine (N)-linked glycosylation has been extensively studied in the pathogenic Campylobacter genus, due to the availability of numerous genome sequences and the highly conserved pathway logic, despite the final N-linked glycan product diversity. We recently reported on a partitioning of N-linked glycan structures between the Campylobacter species, focused on the inclusion of a C6-carboxyl-sugar in the third position of the growing glycan in Campylobacter concisus. However, at the time, the final glycan was not fully defined. Here, we identify the final glycan product in C. concisus, demonstrating surprising substrate promiscuity of the GT-A enzyme, PglI, which adds the penultimate sugar, and uncover a previously uncharacterized enzyme (GT-25) that unexpectedly adds the final sugar to complete the heptasaccharide product. Through a detailed study of these two C. concisus pathway enzymes, the intermediate and final glycans were defined, with determination of linkage positions of major and minor isomeric products following each glycan addition, through high-resolution electronic excitation dissociation tandem mass spectrometry. These findings on the Group II C. concisus N-linked glycan highlight the diversification of the glycan and the utilization, at the non-reducing end, of GlcNAc over GalNAc, which is dominant in the Group I species.

biochemistry↗

bioRxiv2026

Selective Elimination of TP53 Mutant Cells by Transcript-Activated Chromatin Shredding

Genetic mutations that drive cancer often occur in tumor suppressor proteins, including the p53 transcription factor which is altered in [~]40-50% of cases1,2. However, current therapies fail to target most such mutations because the mutant proteins typically lack defined drug-binding pockets, and restoring the endogenous function has proven challenging. Here, we programmed CRISPR-Cas12a2, an RNA-guided nuclease with trans-nucleolytic cleavage activities3,4, to selectively kill cancer cells by targeting cancer-specific transcripts. This approach eliminates cells by inducing trans chromatin cleavage, triggering DNA damage and cell death. Unlike existing methods, RNA-guided Cas12a2 senses cellular RNA signatures to shred chromatin, enabling precise targeting of undruggable mutations. Transcript-activated chromatin shredding provides an innovative paradigm to develop precision disease treatments for undruggable targets.

cell biology↗

bioRxiv2026

Development of a BM7G((TKO/hCD46/hCD55/hTHBD/hEPCR) Donor Pig with Endogenous Promoter-Driven Transgenes for Xenotransplantation

Xenotransplantation offers a potential solution to the organ shortage crisis. Multi-gene modification of pigs, such as knockout of three carbohydrate antigen-related genes and expression of immunoprotective proteins, can significantly improve xenograft survival. However, existing strategies face challenges: transposon-based transgenesis may lead to unstable expression, while exogenous promoters used in site-specific integration are susceptible to epigenetic silencing, hindering long-term stable expression. Therefore, developing a donor pig model capable of sustained multi-gene expression is critical. To address this, CRISPR-Cas9 was used to knockout three major glycan antigen genes to eliminate hyperacute rejection. Subsequently, four human protective genes were site-specifically integrated into the porcine Rosa26 safe-harbor locus, with expression driven by the endogenous Rosa26 promoter and the THBD core promoter for long-term stable and tissue-specific expression, and the selection marker was removed using Cre/loxP. Results showed complete absence of the three glycan antigens in BM7G pigs, while the four protective proteins were stably expressed in vascular endothelial cells and major organs. Among them, hCD55 and hCD46 were widely expressed, while hTHBD and hEPCR showed vascular-specific expression. In-vitro assays confirmed that BM7G porcine endothelial cells significantly reduced human antibody binding, effectively inhibited complement-dependent cytotoxicity, and decreased thrombin-antithrombin complex formation. In conclusion, by combining xenoantigen knockout with endogenous promoter-driven expression of multiple human protective genes, a seven-gene modified pig model with low immunogenicity and synergistic protective function was successfully constructed, providing an important donor resource for xenotransplantation preclinical research.

immunology↗

bioRxiv2026

Porcine extended pluripotent stem cell-derived somite-like mesoderm cells with Dox-driven PAX7 are robust seed cell resource for facilitating production of cultured meat

Cultured meat technology, with its significant advantages of shortening meat production cycles, reducing natural resource consumption, minimizing the risk of zoonotic disease transmission, and enabling precise control over nutritional composition and texture, offers a novel alternative source for human meat consumption. One of the major challenges to produce cultured meat in large scale is how to establish high.quality seed cells, which should have long term proliferative capacities and are able to differentiate into muscles efficienuy with simple procedures. Here, we first established an engineered porcine expanded potential stem cells (Tet-On-PAX7 EPSCs) containing Tet-On regulated PAX7 gene. Then the Tet-On-PAX7 EPSCs were induced to somite-liKe mesodermal cells. These somite-liKe mesodermal cells can be expanded over 1025-fold even after 40 passages in-vitro culture while retaining strong myogenic potential. The somite-like mesodermal cells treated with DOX for one day would differentiate into muscle stem cells (Muses), and the later were able to differentiate into muscles with an efficiency of up to 90% within just 7 days in 11-FSDeDa without Dox. Moreover, when somite-liKe mesodermal cells were seeded on patterned scaffolds, microcarrier scaffolds, or cultured in anchorage-independent suspension, they maintained high efficiency in muscle differentiation, confirming their potential to be used as seed cells for scaled cultured meat production.

developmental biology↗

bioRxiv2025

Adenylyl cyclase 9: fundamental change of regulation in vertebrates and gene sub-functionalization after teleost-specific whole-genome duplication

Adenosine 3:5 monophosphate (cAMP) is a ubiquitous signalling molecule generated by the adenylyl cyclase family of proteins which is encoded by ten genes. The biological significance of this diversity is not well understood. In mammals, transmembrane adenylyl cyclase 9 (AC9) is resistant to regulation by heterotrimeric G proteins. A major facet of this resistance is auto-inhibition -- in the presence of activated Gs, AC9 is inhibited by its C-terminal domain. Here, we examined the natural evolution of this seemingly paradoxical control mechanism. At the primary sequence level, the hallmarks of auto-inhibition are apparent in all vertebrates, none are found in invertebrates. Teleost-specific genome duplication (TGD) resulted in adcy9 ohnologs, one of which lacked the hallmarks of auto-inhibition. This was confirmed in functional assays upon cloning and heterologous expression of the requisite cDNAs. The tissue distributions of the adcy9 ohnologs in teleost species also pointed to their sub-functionalization. Above all, auto-inhibited adcy9 was largely restricted to the brain indicating a fundamental role in brain development or function. Our findings document a quantum leap of the regulation of the enzymatic activity of AC9 in vertebrates and the potency of TGD to meet an adaptational challenge through functionally diversified ohnologs.

evolutionary biology↗