Biology subjects

Zhang, Y.-P.

Publications and source records attributed to Zhang, Y.-P..

18 recordsLinked to original sources

bioRxiv2026

GWAS and multi-omics uncover the SLC6A3 locus for canine stranger-directed social anxiety and implicate NRIP3 in dopaminergic network regulation

The social anxiety disorder (SAD) is one of the most common mental health disorders, often developing in adolescence. It can severely impair educational achievement, career progression, and social functioning. Certain individuals within the Chinese Kunming dog (CKD) population display spontaneous, SAD-like behaviors towards strangers, offering a valuable model for genetic investigation. Using whole-genome sequencing data, we conducted a genome-wide association study on this SAD-like behavior in 100 CKDs, identifying several genes previously linked to human psychiatric disorders. Notably, SLC6A3 reached genome-wide significance, whereas CADPS2 exceeded only the suggestive threshold and is therefore considered a network-supported candidate locus. By integrating weighted gene co-expression network analysis with public RNA-seq data from the VTA of 38 mice (after quality control), we further showed that Slc6a3 and Cadps2 are part of a co-expression network module associated with the dopamine system. These findings suggest that this specific module may play a functional role in the stranger-directed anxiety-related behaviours in CKDs. Furthermore, we identified Nrip3 as a key candidate transcriptional coregulator in this specific module. Subsequent virus-mediated overexpression and behavioural experiments showed that Nrip3 regulates gene expression within this network and induces a spectrum of behavioural alterations in mice, including social avoidance, anhedonia, and increased locomotor activity. Collectively, this study highlights the involvement of dopamine system genes in canine social anxiety and suggests Nrip3 as an upstream regulator of Slc6a3 associated with anxiety. The identification of conserved anxiety-related signatures between humans and dogs further supports the dog as a valuable translational model for psychiatric research.

genetics↗

bioRxiv2026

Oncolytic Adenovirus Armed with cGAS Activates STING Pathway and Enhances Antitumor Immunity in Lung Cancer with Superior Combined Efficacy of PD-L1 Therapy

The extensive expression of STING in patients with non - small cell lung cancer (NSCLC) is closely associated with overall survival and other factors. Activation of the STING pathway can suppress NSCLC. However, the clinical translation of STING agonists remains hindered by challenges such as off-target effects, metabolic instability, and suboptimal pharmacokinetics. In this study, we engineered two oncolytic adenoviruses (OAds), OAd-HcGAS and OAd-McGAS, expressing human or murine cGAS, respectively, using an Ad5/3 chimeric adenovirus platform under regulation by the hTERT promoter to evaluatewhether OVs carrying the cGAS gene are capable of specifically activating the STING pathway within tumors and enhancing the anti - tumor efficacy of OVs both in vitro and in vivo.In vitro, OAd-HcGAS exhibited robust replication and potent cytolytic activity in tumor cells. It activated the STING-TBK1-IRF3 signaling axis, triggering a strong type I interferon (IFN-I) and pro-inflammatory cytokine response without compromising viral replication. In a murine Lewis lung carcinoma allograft model, intratumoral (i.t.) administration of OAd-McGAS led to substantial cGAS expression and consequential activation of the STING pathway. Moreover, the combination with anti-PD-L1 therapy resulted in tumor regression in over half of the cases. Notably, this armed oncolytic virus strategy enhanced the activation and infiltration of multiple immune cell populations. Collectively, these findings establish cGAS-expressing oncolytic adenoviruses as a novel and effective therapeutic strategy for lung cancer treatment. Graphical AbstractViral replication & Transgene expression & Cancer treatment

immunology↗

bioRxiv2024

Forestwalk: A machine learning workflow brings new insights into posture and balance in rodent beam walking

AbstractThe beam walk is widely used to study coordination and balance in rodents. While the task has ethological validity, the main endpoints of foot slip counts and time to cross are prone to human-rater variability and offer limited sensitivity and specificity. We asked if machine learning-based methods could reveal previously hidden, but biologically relevant, insights from the task. Marker-less pose estimation, using DeepLabCut, was deployed to label 13 anatomical points on mice traversing the beam. Next, we automated classical endpoint detection, including foot slips, with high recall (>90%) and precision (>80%). A total of 395 features were engineered and a random-forest classifier deployed that, together with skeletal visualizations, could test for group differences and identify determinant features. This workflow, named Forestwalk, uncovered pharmacological treatment effects in C57BL/6J mice, revealed phenotypes in transgenic mice used to study Angelman syndrome and SLC6A1-related neurodevelopmental disorder, and will facilitate a deeper understanding of how the brain controls balance in health and disease.

animal behavior and cognition↗

bioRxiv2023

Decoding genetic architecture of dog complex traits by constructing fine-scale genomic ancestry of admixture

Domestic animals and plants exhibit remarkable phenotypic diversity in terms of morphology, behavior, and physiology, which can be attributed to the complex interbreeding process of various breeds and artificial selection. Here we develop a method that can efficiently construct fine-scale interbreeding history of local segments along the genome. Since ancestral breeds usually exhibit diverse phenotypes, the method provides a valuable approach for unraveling the genetic architecture of complex traits in admixed breeds. Simulated data demonstrates that the method performs well, even in scenarios involving complex interbreeding with up to 19 ancestral breeds. The method is applied to analyze three mixed dog breeds, Irish Wolfhound, Giant Schnauzer, and Miniature Schnauzer, representing instances of body-size enlargement and miniaturization. Numerous novel ancestor breed-specific genes determining body size are identified, including FGFR2, WDR11, and FARS2. We also validate genes reported in previous GWAS or genomic sweep scans, such as LCORL, STC2, NPR2, and FGF4. These findings highlight the validity of the method as a valuable tool for investigating the genetic basis underlying ancestry-specific traits in domestic animals and plants with complex interbreeding histories.

evolutionary biology↗

bioRxiv2023

Signaling from the C. elegans Hypodermis Non-autonomously Facilitates Short-term Associative Memory

Memory loss is one of the most debilitating symptoms of aging. While we normally think of memory regulation as autonomous to the brain, other factors outside of the brain can also affect neuron function. We have shown that the longevity insulin/IGF-1 signaling (IIS) pathway regulates neuron-specific activity, but whether the maintenance of memory through the IIS pathway is completely autonomous to the nervous system, or if there are systemic inputs, is unknown. We address this question using the auxin-inducible degradation (AID) system to degrade the IIS receptor, DAF-2, in specific tissues. Surprisingly, DAF-2 degradation specifically in the hypodermis improves memory in both young and aged C. elegans through the hypodermal expression of the diffusible Notch ligand, OSM-11. The Notch receptor LIN-12 is required for OSM-11s effect on memory, as are the downstream transcription factor LAG-1 and co-activator SEL-8. Furthermore, mid-life overexpression of the Notch ligand OSM-11 improves memory and slows cognitive decline. Hypodermal DAF-2 degradation suppresses the expression of ins-19, whose downregulation extends memory. Together, our data suggest a model in which the hypodermis, a metabolic tissue, can non-autonomously regulate neuronal activity and function, indicating a systemic connection between metabolism and memory regulation.

genetics↗

bioRxiv2021

A Generalizable Speech Emotion Recognition Model Reveals Depression and Remission

ObjectiveAffective disorders are associated with atypical voice patterns; however, automated voice analyses suffer from small sample sizes and untested generalizability on external data. We investigated a generalizable approach to aid clinical evaluation of depression and remission from voice using transfer learning: we train machine learning models on easily accessible non-clinical datasets and test them on novel clinical data in a different language. MethodsA Mixture-of-Experts machine learning model was trained to infer happy/sad emotional state using three publicly available emotional speech corpora in German and US English. We examined the models predictive ability to classify the presence of depression on Danish speaking healthy controls (N = 42), patients with first-episode major depressive disorder (MDD) (N = 40), and the subset of the same patients who entered remission (N = 25) based on recorded clinical interviews. The model was evaluated on raw, de-noised, and speaker-diarized data. ResultsThe model showed separation between healthy controls and depressed patients at the first visit, obtaining an AUC of 0.71. Further, speech from patients in remission was indistinguishable from that of the control group. Model predictions were stable throughout the interview, suggesting that 20-30 seconds of speech might be enough to accurately screen a patient. Background noise (but not speaker diarization) heavily impacted predictions. ConclusionA generalizable speech emotion recognition model can effectively reveal changes in speaker depressive states before and after remission in patients with MDD. Data collection settings and data cleaning are crucial when considering automated voice analysis for clinical purposes. Significant outcomes- Using a speech emotion recognition model trained on other languages, we predicted the presence of MDD with an AUC of 0.71. - The speech emotion recognition model could accurately detect changes in voice after patients achieved remission from MDD. - Preprocessing steps, particularly background noise removal, greatly influenced classification performance. Limitations- No data from non-remitters, meaning that changes to voice for that group could not be assessed. - It is unclear how well the model would generalize beyond Germanic languages. Data availability statementDue to the nature of the data (autobiographical interviews in a clinical population), the recordings of the participants cannot be shared publicly. The aggregated model predictions and code used to run the analyses is available at https://github.com/HLasse/SERDepressionDetection.

bioinformatics↗

bioRxiv2021

Degrading intestinal DAF-2 nearly doubles Caenorhabditis elegans lifespan without affecting development or reproduction

Twenty-eight years following the breakthrough discovery that a single-gene mutation of daf-2 can double the lifespan of Caenorhabditis elegans, it remains unclear where this gene, which encodes an insulin/IGF-1 receptor, is expressed and where it acts to regulate aging. Here, by inserting DNA sequences of fluorescent tags into the genomic locus of daf-2 and that of its downstream transcription factor daf-16, we determined that both genes are expressed in most or all tissues from embryos through adulthood, in line with their diverse functions. Using tissue-specific auxin-induced protein degradation, we determined that both DAF-2 and DAF-16 act in the intestine to regulate organismal aging. Strikingly, loss of DAF-2 in the intestine nearly doubled C. elegans lifespan but did not produce the adverse developmental or reproductive phenotypes associated with genetic daf-2 mutants. These findings unify the mechanism of lifespan regulation by genes and that by dietary restriction, and begin to focus anti-aging research on nutrient supply. HighlightsO_LIdaf-2 and daf-16 are expressed in most or all cells of C. elegans using genome editing. C_LIO_LIDAF-2 and DAF-16 both regulate lifespan from the intestine as determined using auxin-induced protein degradation. C_LIO_LIReduced insulin signaling in the intestine nearly doubles C. elegans lifespan without adverse effects on development or reproduction. C_LIO_LILifespan regulation by genes and dietary restriction are unified by intestinal supply of nutrients and metabolism. C_LI

cell biology↗

bioRxiv2021

Revision of the genus Dichaetophora Duda (Diptera: Drosophilidae), part I: DNA bar-coding and molecular phylogenetic reconstruction

The genus Dichaetophora is currently comprised of 67 formally described species assigned into five species groups, i.e., agbo, tenuicauda, acutissima, sinensis and trilobita. In the present study, we challenged to delimit species from a huge amount of samples of Dichaetophora and allied taxa (the genus Mulgravea and the subgenus Dudaica of Drosophila) collected from a wide range of the Oriental and east Palearctic regions. We first sorted all specimens into morpho-species, which were tentatively classified into the species groups of Dichaetophora, Mulgravea and Dudaica based on the morphological diagnoses for these supraspecific taxa. Then, we selected representative specimen(s) for each morpho-species and subjected them to barcoding of COI (the cytochrome c oxidase subunit I gene) sequences. The applied ABGD (automatic barcode gap discovery) algorithm estimated a total of 222 MOTUs (molecular operational taxonomic units). Although most of the morpho-species were recognized as individual MOTUs, some others were divided into multiple MOTUs or combined into a single MOTU, suggesting the existence of cryptic sibling species, subspecies or intraspecific genetic varieties. Out of the 222 MOTUs, 88 representing the supraspecific taxa of Dichaetophora, Mulgravea and Dudaica were selected, along with 33 species from major genera and subgenera of Drosophila in the tribe Drosophilini, as in-group (four species from the tribe Colocasiomyini as out-group) for phylogenetic reconstruction. We analyzed a dataset of concatenated nucleotide sequences of 12 nuclear gene markers by the maximum likelihood and Bayesian inference methods. As a result, the three focal taxa (i.e., Dichaetophora, Mulgravea and Dudaica) formed a clade, which we called the "pan-Dichaetophora". Within this large clade, the agbo, tenuicauda, sinensis and trilobita groups of Dichaetophora, Mulgravea and Dudaica were recovered as monophyletic groups, but Dichaetophora and its acutissima group were regarded as paraphyletic. In addition, two clusters were recognized among ungrouped MOTUs of Dichaetophora. Thus, the present study has uncovered some problems in the taxonomy of the pan-Dichaetophora. Solving such problems will be challenged in Part II of this serial work.

zoology↗

bioRxiv2021

Best practices for analyzing imputed genotypes from low-pass sequencing in dogs

Although DNA array-based approaches for genome wide association studies (GWAS) permit the collection of thousands of low-cost genotypes, it is often at the expense of resolution and completeness, as SNP chip technologies are ultimately limited by SNPs chosen during array development. An alternative low-cost approach is low-pass whole genome sequencing (WGS) followed by imputation. Rather than relying on high levels of genotype confidence at a set of select loci, low-pass WGS and imputation relies on the combined information from millions of randomly sampled low confidence genotypes. To investigate low-pass WGS and imputation in the dog, we assessed accuracy and performance by downsampling 97 high-coverage (>15x) WGS datasets from 51 different breeds to approximately 1x coverage, simulating low-pass WGS. Using a reference panel of 676 dogs from 91 breeds, genotypes were imputed from the downsampled data and compared to a truth set of genotypes generated from high coverage WGS. Using our truth set, we optimized a variant quality filtering strategy that retained approximately 80% of 14M imputed sites and lowered the imputation error rate from 3.0% to 1.5%. Seven million sites remained with a MAF > 5% and an average imputation quality score of 0.95. Finally, we simulated the impact of imputation errors on outcomes for case-control GWAS, where small effect sizes were most impacted and medium to large effect sizes were minorly impacted. These analyses provide best practice guidelines for study design and data post-processing of low-pass WGS imputed genotypes in dogs.

genomics↗

bioRxiv2020

Worldwide tracing of mutations and the evolutionary dynamics of SARS-CoV-2

Understanding the mutational and evolutionary dynamics of SARS-CoV-2 is essential for treating COVID-19 and the development of a vaccine. Here, we analyzed publicly available 15,818 assembled SARS-CoV-2 genome sequences, along with 2,350 raw sequence datasets sampled worldwide. We investigated the distribution of inter-host single nucleotide polymorphisms (inter-host SNPs) and intra-host single nucleotide variations (iSNVs). Mutations have been observed at 35.6% (10,649/29,903) of the bases in the genome. The substitution rate in some protein coding regions is higher than the average in SARS-CoV-2 viruses, and the high substitution rate in some regions might be driven to escape immune recognition by diversifying selection. Both recurrent mutations and human-to-human transmission are mechanisms that generate fitness advantageous mutations. Furthermore, the frequency of three mutations (S protein, F400L; ORF3a protein, T164I; and ORF1a protein, Q6383H) has gradual increased over time on lineages, which provides new clues for the early detection of fitness advantageous mutations. Our study provides theoretical support for vaccine development and the optimization of treatment for COVID-19. We call researchers to submit raw sequence data to public databases.

microbiology↗

bioRxiv2020

Integrating Genomic and Transcriptomic Data to Reveal Genetic Mechanisms Underlying Piao Chicken Rumpless Trait

Piao chicken, a rare Chinese native poultry breed, lacks primary tail structures, such as pygostyle, caudal vertebra, uropygial gland and tail feathers. So far, the molecular mechanisms underlying tail absence in this breed have remained unclear. We employed comprehensive comparative transcriptomic and genomic analyses to unravel potential genetic underpinnings of rumplessness in the Piao chicken. Our results reveal many biological factors involved in tail development and several genomic regions under strong positive selection in this breed. These regions contain candidate genes associated with rumplessness, including IRX4, IL-18, HSPB2, and CRYAB. Retrieval of quantitative trait loci (QTL) and gene functions implied that rumplessness might be consciously or unconsciously selected along with the high-yield traits in Piao chicken. We hypothesize that strong selection pressures on regulatory elements might lead to gene activity changes in mesenchymal stem cells of the tail bud and eventually result in tail truncation by impeding differentiation and proliferation of the stem cells. Our study provides fundamental insights into early initiation and genetic bases of the rumpless phenotype in Piao chicken.

genetics↗

bioRxiv2019

The wild species genome ancestry of domestic chickens

Hybridization and/or introgression play a key role in the evolutionary history of animal species. It is commonly observed in several orders in wild birds. The domestic chicken Gallus gallus domesticus is the commonest livestock species exploited for the benefit of mankind. The origin of its diversity remains unsettled. Here, we report a genome-wide analyses for signatures of introgression within domestic village chicken. We first established the genome-wide phylogeny and divergence time across the genus Gallus, showing the sister relationships between Grey junglefowl G. sonneratii and Ceylon junglefowl G. lafayettii and that the Green junglefowl is the first diverging lineage within the genus Gallus. Then, by analysing the whole-genome sequences of geographically diverse chicken populations, we reveal extensive bidirectional introgression between Grey junglefowl and domestic chicken and to a much less extent with Ceylon junglefowl. A single case of Green junglefowl G. varius introgression was identified. These introgressed regions include biological functions related to the control of gene expression. Our results show that while the Red junglefowl is the main ancestral species, introgressive hybridization episodes have impacted the genome and contributed to the diversity of domestic chicken, although likely at different level across its geographic range.

evolutionary biology↗

bioRxiv2019

Genomic approaches reveal an endemic sub-population of gray wolves in Southern China

Despite being one of the most widely distributed terrestrial mammals, the history of gray wolves (Canis lupus) in China is not well understood as their habitats have been destroyed with growing economic development. Using six specimens from wolf skins in Chinese Natural History museums, we sequenced their genome using a modified ancient DNA procedure. Using whole genome sequence analysis, we showed that gray wolves from Southern China (SC) derive from a single lineage, distinct from gray wolves from the Tibetan Plateau (Canis lupus chanco) and Northern China, suggesting that SC gray wolves may form a distinct sub-population. Of SC gray wolves, one wolf from Zhejiang carries a genetic component from a canid that must have diverged earlier from other wolves than jackals did, perhaps through gene flow from a population related to or further diverged from wolves than the dhole, a species distributed in Southern China and Southeast Asia. This may indicate that interspecific gene flow likely played an important role in shaping the speciation patterns and population structure in the genus Canis. Our study is the first to survey museum genomes of gray wolves from Southern China, revealing the presence of an endemic population with ancient interspecific gene flow from a population related to the dhole, and highlighting how sequencing the paleogenome from museum specimens can help us to study extinct species.

evolutionary biology↗

bioRxiv2018

Canine transmissible venereal tumor genome reveals ancient introgression from coyotes to arctic sled dogs

Dear Editor,\n\nAncient genome-sequencing studies have extensively refined our understanding of the genetic histories and adaptive evolution of humans1, as well as the domestic process of livestock and crops2. Recent studies about ancient and modern canids all indicate that canids have intricate histories, and lots of canine populations disappeared during evolution3-6. Thus, ancient genomes from canine fossils are in high demand to clarify canine evolution and the processes leading to dog domestication. Canine transmissible venereal tumor (CTVT), the oldest known somatic cell line, is a living fossil, originating from cancer cells transmitted from a host to other canids during the mating process7. Clonal origin analyses hints that the original dog infected with CTVT (CTVT founder) came from an ancient sled dog or wolf population ...

evolutionary biology↗

bioRxiv2018

Insulin Signaling-independent Activation of DAF-16 Shapes the Transcriptome during Normal Aging

The roles and regulatory mechanisms of transriptome changes during aging are unclear. It has been proposed that the transcriptome suffers decay during aging owing to age-associated down-regulation of transcription factors. In this study, we characterized the role of a transcription factor DAF-16, which is a highly conserved lifespan regulator, in the normal aging process of Caenorhabditis elegans. We found that DAF-16 translocates into the nucleus in aged wild-type worms and activates the expression of hundreds of genes in response to age-associated cellular stress. Most of the age-dependent DAF-16 targets are different from the canonical DAF-16 targets downstream of insulin signaling, indicating that activation of DAF-16 during aging is not due to reduced insulin signaling from DAF-2. Further analysis showed that it is due to the loss of proteostasis during aging, at least in part. We also found that without daf-16, dramatic gene expression changes occur as early as on adult day 2, indicating that DAF-16 acts to stabilize the transcriptome during normal aging. Our results thus reveal that normal aging is not simply a process in which the gene expression program descends into chaos due to loss of regulatory activities; rather, there is active transcriptional regulation that fights aging.

systems biology↗

bioRxiv2017

Allopatric divergence, local adaptation, and multiple Quaternary refugia in a long-lived tree (Quercus spinosa) from subtropical China

O_LIThe complex geography and climatic changes occurring in subtropical China during the Tertiary and Quaternary might have provided substantial opportunities for allopatric speciation. To gain further insight into these processes, we reconstruct the evolutionary history of Quercus spinosa, a common evergreen tree species mainly distributed in this area.\nC_LIO_LIForty-six populations were genotyped using four chloroplast DNA regions and 12 nuclear microsatellite loci to assess genetic structure and diversity, which was supplemented by divergence time and diversification rate analyses, environmental factor analysis, and ecological niche modeling of the species distributions in the past and at present.\nC_LIO_LIThe genetic data consistently identified two lineages: the western Eastern Himalaya-Hengduan Mountains lineage and the eastern Central-Eastern China lineage, mostly maintained by populations environmental adaptation. These lineages diverged through climate/orogeny-induced vicariance during the Neogene and remained separated thereafter. Genetic data strongly supported the multiple refugia (per se, interglacial refugia) or refugia within refugia hypotheses to explain Q. spinosa phylogeography in subtropical China.\nC_LIO_LIQ. spinosa population structure highlighted the importance of complex geography and climatic changes occurring in subtropical China during the Neogene in providing substantial opportunities for allopatric divergence.\nC_LI

evolutionary biology↗

bioRxiv2016

Evolutionary history of the brown rat: out of southern East Asia and selection

The brown rat (Rattus norvegicus) is found wherever humans live and transmits many diseases, and its breeding produced the laboratory rat used widely in medical research. Here, we sequenced whole genomes from 118 rats to explore the origin and dispersal routes of the brown rat and the domestication of the laboratory rat. We showed that brown rats migrated about 3600 years ago from southern East Asia, rather than Northern Asia as formerly suggested, to the Middle East and then to Europe and Africa. Many genes involved in the immune system experienced positive selection in the wild brown rat, while genes involved in the nervous system and energy metabolism showed evidence of artificial selection during the domestication of laboratory strains. Our findings demystify the puzzling origin and migration of brown rats and reveal the impact of evolution and domestication on this animal.

evolutionary biology↗

bioRxiv2016

An improved de novo pipeline for enrichment of high diversity mitochondrial genomes from Amphibia to high-throughput sequencing

We present an improved de novo pipeline by combining long-range polymerase chain reaction (LR-PCR) and capture hybridization for enriching mitochondrial DNA to high-throughput sequencing. We test a new set of primers and hybridizing long-range library (LR-HY) with 112 mitochondrial genomes (MtG) representing three orders, 12 families, 54 genera, and 106 species of Amphibia. The primers are used for obtaining wide taxonomic MtG amplicons to sequence directly and/or make probes for closely related species. LR-HY is compared to standard hybridization. The primers successfully amplify 82 MtGs from all three order, all families, 92.6% (50/54) of the genera, and 74.5% (79/106) of the species, despite some DNA degradation and gene rearrangement. We observe a significantly negative correlation between sequence depth and gene variation. The pattern of highly variable regions is separately distributed in different regions within the length of < 4 kb in the 33-pooled sample. We demonstrate that using 2 kb libraries generate deeper sequence coverage in the highly variable loci than using 400 bp libraries. In total, the pipeline successfully recovers 83 complete and 14 almost complete MtGs from 53 of 54 genera, including 14 MtGs had rearranged protein-coding genes. This universal primers combined with LR-HY is an efficient way to enrich complete MtGs across the entire Amphibia.

genomics↗