Biology subjects

Chang, Y.

Publications and source records attributed to Chang, Y..

At least 91 records · Page 5Linked to original sources

bioRxiv2022

A systematic evaluation revealed that detecting translated non-canonical ORFs from ribosome profiling data remains challenging

Non-canonical open reading frames (ORFs), which are ORFs that are not included in reference genome annotations, are gaining more and more research interest in recent years. While vast numbers of non-canonical ORFs have been identified with ribosome profiling (Ribo-Seq) by various state-of-the-art computational methods, the performance of these methods has not been assessed systematically. To this end, we evaluated the four most popular methods for translated non-canonical ORF prediction using various public datasets. We found that non-canonical ORFs predicted by different methods differ substantially and are not saturated at typical sequence depths. Furthermore, the precision and accuracy of all four methods are not satisfactory, especially for ORFs with near-cognate start codons. Based on these results, we suggest that improved sequence depth, biological repetitions, and translation initiation site profiling should be considered to obtain a high-quality catalog of translated non-canonical ORFs in future studies.

genomics↗

bioRxiv2022

SpaGFT is a graph Fourier transform for tissue module identification from spatially resolved transcriptomics

Tissue module (TM) is a spatially organized tissue region and executes specialized biological functions, recurring and varying at different tissue sites. However, the computational identification of TMs poses challenges due to their convoluted biological functions, poorly-defined molecular features, and varying spatially organized patterns. Here, we present a hypothesis-free graph Fourier transform model, SpaGFT, to represent spatially organized features using the Fourier coefficients, leading to an accurate representation of spatially variable genes and proteins and the characterization of TM at a fast computational speed. We implemented sequencing-based and imaging-based spatial transcriptomics, spatial-CITE-seq, and spatial proteomics to identify spatially variable genes and proteins, define TM identities, and infer convoluted functions among TMs in mouse brains and human lymph nodes. We collected a human tonsil sample and performed CODEX to accurately demonstrate molecular and cellular variability within the secondary follicle structure. The superior accuracy, scalability, and interpretability of SpaGFT indicate that it is an effective representation of spatially-resolved omics data and an essential tool for bringing new insights into molecular tissue biology.

bioinformatics↗

bioRxiv2022

DHHC3 mediated Cadm4 palmitoylation regulates myelination in CNS

Cell adhesion molecule 4 (Cadm4) plays important roles on plasma membrane (PM) to regulate myelin formation and the downregulation of Cadm4 is a prominent feature in many demyelination diseases. However, how Cadm4 maintains its level on PM has been elusive. Here, we identify that Cadm4 is palmitoylated at cysteine-347 (C347) and palmitoylation regulates the stable localization of Cadm4 on PM, as blocking palmitoylation by mutating C347 into alanine (C347A) results in the dissociation of Cadm4 from PM and targeting for degradation. Intriguingly, blocking Cadm4 palmitoylation by introducing C347A (Cadm4-KI) causes myelin abnormalities in CNS, characterized by loss of myelination, myelin infoldings and hypermyelination. Moreover, it is uncovered that Cadm4 palmitoylation is catalyzed by DHHC3, reducing Cadm4 palmitoylation by the deletion of DHHC3 renders the redistribution of Cadm4 for degrading. Consistently, the genetic deletion of DHHC3 leads to downregulated Cadm4 palmitoylation and defects in CNS myelination, virtually phenocopies that of the Cadm4-KI mice. Our findings suggest a mechanism that the stable localization of Cadm4 on PM regulated by protein palmitoylation is vital for myelination in CNS.

neuroscience↗

bioRxiv2022

Anellovirus Structure Reveals a Mechanism for Immune Evasion

The significant impact of the human virome on human physiology is beginning to emerge thanks to modern sequencing methods and bioinformatic tools1. Anelloviruses, the principal constituent of the commensal human virome, are universally acquired in infancy and found throughout the body2,3,4. Since the discovery of the original torque teno virus in 19975, three genera of the Anelloviridae family, each extremely diverse genetically, have been found in humans. These viruses elicit weak immune responses that permit multiple strains to co-exist and persist for years in a typical individual6. However, because they do not cause disease7 and due to the lack of an in vitro culture system, anelloviruses remain poorly understood8,9. Basic features of the virus, such as the identity of its structural protein, have been unclear until now. Here, we describe the first structure of an anellovirus particle, which includes a jelly roll domain that forms a 60-mer icosahedral particle core from which spike domains extend to form a salient part of the particle surface. The spike domains come together around the 5-fold symmetry axes to form crown-like features. Relatively conserved patches of amino acids are near the base of the spike domain while a hypervariable region is at the apex. We propose that this structure renders the particle less susceptible to antibody neutralization by hiding vulnerable conserved epitopes while exposing highly diverse epitopes as immunological decoys, thereby contributing to the immune evasion properties of anelloviruses. This would contrast with viruses such as beak and feather disease virus, canine parvovirus or adeno-associated virus which lack such pronounced surface features. These results shed light on the structure of anelloviruses and provide a framework to understand their interactions with the immune system.

biochemistry↗

bioRxiv2022

Divergent evolution of early terrestrial fungi reveals the evolution of Mucormycosis pathogenicity factors

Fungi have evolved over millions of years and their species diversity is predicted to be the second largest on the earth. Fungi have cross-kingdom interactions with many organisms which have mutually shaped their evolutionary trajectories. Zygomycete fungi hold a pivotal position in the fungal tree of life and provide important perspectives on the early evolution of fungi from aquatic to terrestrial environments. Phylogenomic analyses have found that zygomycete fungi diversified into two separate clades, the Mucoromycota which are frequently associated with plants and Zoopagomycota that are commonly animal-associated fungi. Genetic elements that contributed to the fitness and divergence of these lineages may have been shaped by the varied interactions these fungi have had with plants, animals, bacteria and other microbes. To investigate this, we performed comparative genomic analyses of the two clades in the context of Kingdom Fungi, benefiting from our generation of a new collection of zygomycete genomes. We identified lineage-specific genomic content which may contribute to the disparate biology observed in these zygomycetes. Our findings include the discovery of undescribed diversity in CotH, a Mucormycosis pathogenicity factor, which was found in a broad set of zygomycetes. Reconciliation analysis identified multiple duplication events and an expansion of CotH copies throughout Mucoromycotina, Mortierellomycotina, Neocallimastigomycota, and Basidiobolus lineages. A kingdom-level phylogenomic analysis also identified new evolutionary relationships within the sub-phyla of Mucoromycota and Zoopagomycota.

evolutionary biology↗

bioRxiv2022

On-Demand Fully-Enclosed Superhydrophobic-Optofluidic Device Enabled by High Precision Microstereolithography

Superhydrophobic surface-based optofluidics have been introduced to biosensors and unconventional optics with unique advantages such as low light loss and power consumption. However, most of these platforms were made with planar-like micro- and nano-structures, which may cause bonding issues and resulting in significant waveguide loss. Here, we introduce a fully-enclosed superhydrophobic-based optofluidics system, enabled by a one-step high precision microstereolithography procedure. Various micro-structured cladding designs with a feature size down to 100 m were studied and a "T-type" overhang design exhibits the lowest optical loss, regardless of the excitation wavelength. Surprisingly, the optical loss of superhydrophobic-based optofluidics is not solely decided by the solid area fraction at the solid/water/air interface, but also the cross-section shape and the effective cladding layer composition. We show that this fully-enclosed optofluidic system can be used for CRISPR-labeled quantum dot quantification, intended for in vitro and in vivo CRISPR therapeutics.

bioengineering↗

bioRxiv2022

Human anelloviruses produced by recombinant expression of synthetic genomes.

Human anelloviruses are acquired universally in infancy, highly prevalent, abundant in blood, and extremely diverse. Their apparent lack of pathogenicity indicates that they are a major component of the commensal human virome. Despite their being extensively intertwined with human biology, these viruses are poorly understood. A major impediment in studying anelloviruses is the lack of an in vitro system for their production and/ or propagation. Here we show that the T cell-derived human cell line MOLT-4 can be transfected with plasmids comprising tandem anellovirus genomes to produce viral particles visualized by electron microscopy. We found that a previously described human anellovirus of the Betatorquevirus genus (LY2), as well as a second Betatorquevirus detected by sequencing DNA extracted from a human retinal pigmental epithelium (nrVL4619), can be synthesized and produced by these means, enabling further molecular virology studies. Southern blot was used to demonstrate replication, and site-directed mutagenesis of the viral genome was performed to show that the production of anellovirus in this cell line is dependent on the expression of certain viral proteins. Finally, experiments performed in mice using purified nrVL4619 particles produced in MOLT-4 cells demonstrated infectivity in vivo in the tissue of origin. These results indicate that anelloviruses can be produced in vitro and manipulated to improve our understanding of this viral family which is ubiquitous in humans and many other mammals. Applications of this work to gene therapy and other therapeutic modalities are currently under investigation. IMPORTANCEAnelloviruses are a major component of the human virome. However, their biology is not well understood mainly due to the lack of an in vitro system for anellovirus production and/or propagation. In this study, we used multiple orthogonal measures to show that two different anelloviruses belonging to the Betatorquevirus genus can be produced in a T-cell-derived human cell line, MOLT-4, via recombinant expression of synthetic genomes. Additionally, we show that anellovirus particles generated in this in vitro system demonstrate infectivity in vivo. Our findings enable new molecular virology studies of this highly prevalent, non-pathogenic, and weakly immunogenic family of viruses, potentially leading to therapeutic applications.

microbiology↗

bioRxiv2022

Unlocking the microblogging potential for science and medicine

Microblogging platform Twitter allows researchers to showcase their work, receive constructive feedback, find jobs, and build scientific collaborations. While existing literature has analyzed the benefits of Twitter in the development and distribution of scientific knowledge, most of the studies only took into account a limited number of researchers, which affected the generalizability of derived results. Our study analyzed the activity of 6,000 biomedical scientists on Twitter using data-driven approaches, a third of whom were female. Furthermore, we estimated that up to a quarter of the members of the scientific community are engaged on Twitter. While the number of male scientists joining the microblogging platform every year has decreased, the number of female scientists has remained roughly the same. Scientists are very selective in who they are following as compared to the general public. We also found that the type of tweets and retweets one posts may affect the number of followers, specifically, that a moderate to high level of professionalism and a high level of positivity is correlated with followers count. Moreover, female scientists send fewer negative tweets as compared to male scientists (31.1% for females and 34.7% for males). Our analysis could provide insights and launch a conversation on the advantages and limitations of using Twitter for disseminating scientific information and engaging in constructive discussion and collaborations within the scientific community.

scientific communication and education↗

bioRxiv2022

Analysis of community connectivity in spatial transcriptomics data

The advent of high throughput spatial transcriptomics (HST) has allowed for unprecedented characterization of spatially distinct cell communities within a tissue sample. While a wide range of computational tools exist for detecting cell communities in HST data, none allow for characterization of community connectivity, i.e., the relative similarity of cells within and between found communities - an analysis task that can elucidate cellular dynamics in important settings such as the tumor microenvironment. To address this gap, we introduce the concept of analysis of community connectivity (ACC), which entails not only labeling distinct cell communities within a tissue sample, but understanding the relative similarity of cells within and between communities. We develop a Bayesian multi-layer network model called BANYAN for integration of spatial and gene expression information to achieve ACC. We use BANYAN to implement ACC in invasive ductal carcinoma, and uncover distinct community structure relevant to the interaction of cell types within the tumor microenvironment. Next, we show how ACC can help clarify ambiguous annotations in a human white adipose tissue sample. Finally, we demonstrate BANYANs ability to recover community connectivity structure via a simulation study based on real sagittal mouse brain HST data. AvailabilityAn R package banyan is available at https://github.com/carter-allen/banyan. Contactchung.911@osu.edu Supplementary informationSupplementary data are available online. Author SummaryThe proliferation of spatial transcriptomics technologies have prompted the development of numerous statistical models for characterizing the makeup of a tissue sample in terms of distinct cell sub-populations. However, existing methods regard inferred sub-populations as static entities and do not offer any ability to discover the relative similarity of cells within and between communities, thereby obfuscating the true interactive nature of cells in a tissue sample. We develop BANYAN: a statistical model for implementing analysis of community connectivity (ACC), i.e., the process of inferring the similarity of cells within and between cell sub-populations. We demonstrate the utility of ACC through the analysis of a publicly available breast cancer data set, which revealed distinct community structure between tumor suppressive and invasive cancer cell sub-populations. We then showed how ACC may help elucidate ambiguous sub-population annotations in a publicly available human white adipose tissue data set. Finally, we implement a simulation study to validate BANYANs ability to recover true community connectivity structure in HST data.

bioinformatics↗

bioRxiv2022

Transcriptome of epibiont Saccharibacteria Nanosynbacter lyticus strain TM7x during establishment of symbiosis

Saccharibacteria Nanosynbacter lyticus strain TM7x is a member of the broadly distributed Candidate Phylum Radiation. These bacteria have ultrasmall cell size, reduced genomes and live as epibionts on the surface of other bacteria. The mechanisms by which they establish and maintain this relationship are not yet fully understood. The transcriptomes of the epibiont TM7x and its host bacteria Schaalia odontolyticus strain XH001 were captured across the establishment of symbiosis during both the initial interaction and stable symbiosis. The results showed a dynamic interaction with large shifts in gene expression for both species between the initial encounter and stable symbiosis, notably transporter genes. During stable symbiosis, the host XH001 showed higher gene expression for peptidoglycan biosynthesis, mannosylation, cell cycle and stress related genes, but lower expression of chromosomal partitioning genes. This was consistent with the elongated cell shape seen in XH001 infected with TM7x and our discovery that infection resulted in thickened cell walls. Within TM7x, increased pili, type IV effector gene, and arginine catabolism/biosynthesis gene expression during stable symbiosis implied a key role for these functions in the interaction. Consistent with its survival and persistence in the human microbiome as an obligate epibiont with reduced de novo biosynthetic capacities, TM7x also showed higher levels for energy production and peptidoglycan biosynthesis but lower expression of stress related genes during stable symbiosis. These results imply that TM7x and its host bacteria keep a delicate balance in order to sustain an episymbiotic lifestyle. IMPORTANCENanosynbacter lyticus type strain TM7x is the first cultivated member of the Saccharibacteria and the Candidate Phyla Radiation (CPR). It was discovered to have ultrasmall cell size with a highly reduced genome that establishes an obligate epibiotic relationship with its host bacterium. The CPR, now formally proposed as the Patescibacteria super-phylum, is a large monophyletic radiation of diverse bacteria with reduced genomes that includes Saccharibacteria. The vast majority of the CPR have yet to be cultivated in the laboratory and our insights into these unique organisms to date has been derived from only a few Saccharibacteria species. It is unknown however how these small obligate parasitic Saccharibacteria, that are missing many de novo biosynthetic pathways, are maintained at high prevalence within the human microbiome as well as in the environment. When TM7x infects its host bacterium there are distinct temporal phases, including an initial interaction, a killing phase, recovery phase, and finally stable symbiosis. Here we captured the gene expression of the host bacterium and epibiont during this dynamic interaction which represents the initial insights into the mechanisms of how these unique microbes may survive and persist.

microbiology↗

bioRxiv2022

Engineering chimeric antigen receptor neutrophils from human pluripotent stem cells for targeted cancer immunotherapy

Neutrophils, the most abundant white blood cells in the circulation, are closely related to cancer development and progression. Primary neutrophils from healthy donors present potent cytotoxicity against different human cancer cell lines through direct contact and via the generation of reactive oxygen species (ROS). However, due to their short half-life and resistance to genetic modification, neutrophils have not yet been engineered with widely used chimeric antigen receptors (CARs) to enhance their anti-tumor cytotoxicity for targeted immunotherapy. Here, we genetically engineered human pluripotent stem cells (hPSCs) with different synthetic CARs and successfully differentiated them into functional neutrophils by implementing a novel chemically-defined differentiation platform. Neutrophils expressing the chlorotoxin (CLTX)-T-CAR presented specific cytotoxicity against glioblastoma (GBM) cells both in monolayer and 3D cultures. In a GBM xenograft mouse model, systematically-administered CLTX-T-CAR neutrophils also displayed enhanced anti-tumor activity and prolonged animal survival compared with peripheral blood-neutrophils, hPSC-neutrophils and CLTX-NK-CAR natural killer (NK) cells. Collectively, we established a new platform for production of CAR-neutrophils, paving the way to myeloid cell-based therapeutic strategies that would complement and boost current cancer treatment approaches.

bioengineering↗

bioRxiv2022

MAPLE: A Hybrid Framework for Multi-Sample Spatial Transcriptomics Data

High throughput spatial transcriptomics (HST) technologies provide unprecedented opportunity to identify spatially resolved cell sub-populations in tissue samples. However, existing methods preclude joint analysis of multiple HST samples, do not allow for differential abundance analysis (DAA), and ignore uncertainty quantification. To address this, we developed MAPLE: a hybrid deep learning and Bayesian modeling framework for joint detection of spatially informed sub-populations, DAA, and uncertainty quantification. We demonstrate the capability of MAPLE to achieve these multi-sample analyses through four case studies that span a variety of organs in both humans and animal models. An R package maple is available on GitHub at https://github.com/carter-allen/maple.

bioinformatics↗

bioRxiv2022

Efficient Neutralization of SARS-CoV-2 Omicron and Other VOCs by a Broad Spectrum Antibody 8G3

Numerous mutations in the spike protein of SARS-CoV-2 B.1.1.529 Omicron variant pose a crisis for antibody-based immunotherapies. The efficacy of emergency use authorized (EUA) antibodies that developed in early SARS-CoV-2 pandemic seems to be in flounder. We tested the Omicron neutralization efficacy of an early B cell antibody repertoire as well as several EUA antibodies in pseudovirus and authentic virus systems. More than half of the antibodies in the repertoire that showed good activity against WA1/2020 previously had completely lost neutralizing activity against Omicron, while antibody 8G3 displayed non-regressive activity. EUA antibodies Etesevimab, Casirivimab, Imdevimab and Bamlanivimab were entirely desensitized by Omicron. Only Sotrovimab targeting the non-ACE2 overlap epitope showed a dramatic decrease activity. Antibody 8G3 efficiently neutralized Omicron in pseudovirus and authentic virus systems. The in vivo results showed that Omicron virus was less virulent than the WA1/2020 strain, but still caused deterioration of health and even death in mice. Treatment with 8G3 quickly cleared virus load of mice. Antibody 8G3 also showed excellent activity against other variants of concern (VOCs), especially more efficient against authentic Delta plus virus. Collectively, our results suggest that neutralizing antibodies with breadth remains broad neutralizing activity in tackling SARS-CoV-2 infection despite the universal evasion from EUA antibodies by Omicron variant.

cell biology↗

bioRxiv2022

Cohesin mutation sensitizes cancer cells to anti-PD-1 therapy through endogenous retrovirus-mediated PD-L1 upregulation

Immune checkpoint therapy shows impressive and durable clinical responses in cancer patients, but the genetic determinants that enable cancer cells to respond to anti-PD-1 therapy are still elusive. Herein, we identified that NIPBL deficiency promotes endogenous retrovirus (ERV) expression in tumour cells, which in turn inactivates CD8+ tumour-infiltrating lymphocytes (TILs) via the PD-L1/PD-1 inhibitory checkpoint pathway. Mechanistically, NIPBL deficiency impairs DNMT1 transcription, preventing DNMT1 from suppressing ERV expression in tumour cells; ERVs stimulate PD-L1 expression by inducing the STAT2-IRF9 complex, a downstream event of double-stranded RNA (dsRNA)-MAVS-IRF3 signalling, and thereby suppress CD8 TIL-mediated immunity. An anti-PD-1 monoclonal antibody achieved remarkable therapeutic effects in Nipbl-deficient syngeneic tumour models and improved host survival by eliciting an antitumour memory immune response. Cancer patients harbouring mutations of cohesin subunits and regulators plus DNMT1 had significantly better responses to anti-PD-1 therapy than their non-mutated counterparts did. Our study reveals a novel mechanism by which cohesin complex deregulation stimulates ERV expression by impairing DNMT1 expression and fosters an immunosuppressive tumour microenvironment by activating the PD-L1/PD-1 inhibitory checkpoint.

cancer biology↗

bioRxiv2022

Comprehensive Evaluation of ACE2-Fc Combination with Neutralization Antibody on Broad Protection against SARS-CoV-2 and Its Variants

Emerging SARS-CoV-2 variants are threatening the efficacy of antibody therapies. Combination treatments including ACE2-Fc have been developed to overcome the evasion of neutralizing antibodies (NAbs) in individual cases. Here we conducted a comprehensive evaluation of this strategy by combining ACE2-Fc with NAbs of diverse epitopes on the RBD. NAb+ACE2-Fc combinations efficiently neutralized HIV-based pseudovirus carrying the spike protein of the Delta or Omicron variants, achieving a balance between efficacy and breadth. In an antibody escape assay using replication-competent VSV-SARS-CoV-2-S, all the combinations had no escape after fifteen passages. By comparison, all the NAbs without combo with ACE2-Fc had escaped within six passages. Further, the VSV-S variants escaped from NAbs were neutralized by ACE2-Fc, revealing the mechanism of NAb+ACE2-Fc combinations survived after fifteen passages. We finally examined ACE2-Fc neutralization against pseudovirus variants that were resistant to the therapeutic antibodies currently in clinic. Our results suggest ACE2-Fc is a universal combination partner to combat SARS-CoV-2 variants including Delta and Omicron.

cell biology↗

bioRxiv2021

The systematic assessment of completeness of public metadata accompanying omics studies

Recent advances in high-throughput sequencing technologies have made it possible to collect and share a massive amount of omics data, along with its associated metadata. Enhancing metadata availability is critical to ensure data reusability and reproducibility and to facilitate novel biomedical discoveries through effective data reuse. Yet, incomplete metadata accompanying public omics data may hinder reproducibility and reusability by reducing sample interpretability and limiting secondary analyses. In this study, we performed a comprehensive assessment of metadata completeness shared in both scientific publications and/or public repositories by analyzing over 253 studies encompassing over 164 thousands samples, including both human and non-human mammalian studies. We observed that studies often omit over a quarter of important phenotypes, with an average of only 74.8% of them shared either in the text of publication or the corresponding repository. Notably, public repositories alone contained 62% of the metadata, surpassing the textual content of publications by 3.5%. Only 11.5% of studies completely shared all phenotypes, while 37.9% shared less than 40% of the phenotypes. Studies involving non-human samples were more likely to share metadata than studies involving human samples. We observed similar results on the extended dataset spanning 2.1 million samples across over 61,000 studies from the Gene Expression Omnibus repository. The limited availability of metadata reported in our study emphasizes the necessity for improved metadata sharing practices and standardized reporting. Finally, we discuss the numerous benefits of improving the availability and quality of metadata to the scientific community and beyond, supporting data-driven decision-making and policy development in the field of biomedical research. This work provides a scalable framework for evaluating metadata availability and may help guide future policy and infrastructure development.

bioinformatics↗

bioRxiv2021

Biological network inference from single-cell multi-omics data using heterogeneous graph transformer

We present DeepMAPS (Deep learning-based Multi-omics Analysis Platform for Single-cell data) for biological network inference from single-cell multi-omics (scMulti-omics). DeepMAPS includes both cells and genes in a heterogeneous graph to simultaneously infer cell-cell, cell-gene, and gene-gene relations. The multi-head attention mechanism in a graph transformer considers the heterogeneous relation among cells and genes within both local and global context, making DeepMAPS robust to data noise and scale. We benchmarked DeepMAPS on 18 scMulti-omics datasets for cell clustering and biological network inference, and the results showed that our method outperformed various existing tools. We further applied DeepMAPS on lung tumor leukocyte CITE-seq data and matched diffuse small lymphocytic lymphoma scRNA-seq and scATAC-seq data. In both cases, DeepMAPS showed competitive performance in cell clustering and predicted biologically meaningful cell-cell communication pathways based on the inferred gene networks. Note that we deployed a webserver using DeepMAPS implementation equipped with multiple functions and visualizations to improve the feasibility and reproducibility of scMulti-omics data analysis. Overall, DeepMAPS represents a heterogeneous graph transformer for single-cell study and may benefit the use of scMulti-omics data in various biological systems.

bioinformatics↗

bioRxiv2021

Diverse northern Asian and Jomon-related genetic structure discovered among socially complex Three Kingdoms period Gaya region Koreans

The genetic history of prehistoric and protohistoric Korean populations is not well understood due to the lack of ancient Korean genomes. Here, we report the first paleogenomic data from Korea; eight shotgun-sequenced genomes (0.7x[~]6.1x coverage) from two archeological sites in Gimhae: Yuha-ri shell mound and Daesung-dong tumuli, the most important funerary complex of the Gaya confederacy. All eight individuals are from the Korean Three Kingdoms period (4th-7th century CE), during which there is archaeological evidence of extensive trade connections with both northern (modern-day China) and eastern (modern-day Japan) kingdoms. All genomes are best modeled as an admixture between a northern-Chinese Iron Age genetic source and a Japanese-Jomon-related ancestry. The proportion of Jomon-related ancestry suggests the presence of two genetic groups within the population. The observed substructure indicates diversity among the Gaya population that is not related to either social status or sex. Teaser1,700-year-old genomes reveal the genetic diversity of ancient Koreans in the Gimhae region.

evolutionary biology↗