Biology subjects

Chen, Q.

Publications and source records attributed to Chen, Q..

At least 415 records · Page 23Linked to original sources

bioRxiv2020

The cleavage furrow ingression and cell separation are both accompanied by calcium spikes during fission yeast cytokinesis

The role of calcium signaling during cytokinesis has long remained ambiguous. The studies of embryonic cell division discovered that calcium concentration increases transiently at the division plane just before the cleavage furrow ingression, leading to the hypothesis that these calcium transients trigger the contractile ring constriction. However, such calcium transients have only been found in animal embryos and their function remains controversial. Here we explored cytokinetic calcium transients in the model organism fission yeast. We adopted GCaMP, a genetically encoded calcium indicator, to determine the intracellular calcium level. We validated GCaMP as a highly sensitive calcium indicator which allowed us to capture the calcium transients stimulated by osmotic shocks. To identify calcium transients during cytokinesis, we first identified a correlation between the intracellular calcium level and cell division. Next, we discovered calcium spikes at the start of the cleavage furrow ingression and the end of the cell separation using time-lapse microscopy to. Inhibition of these calcium spikes slowed down the furrow ingression and led to frequent lysis of the daughter cells. We conclude that like the larger animal embryos fission yeast triggers cytokinetic calcium transients which promote the ring constriction and daughter cell integrity (194). Highlight summary for TOCCalcium rises transiently at the division plane during embryonic cell cytokinesis, but the conservation and function of such calcium transients remain unclear. We identified similar calcium spikes during fission yeast cytokinesis and demonstrated that these spikes promote the contractile ring constriction and the daughter cell integrity (257).

cell biology↗

bioRxiv2020

Identification and exploration of 2'-O-methylation sites in rRNA and mRNA with a novel RNase based platform

Ribose 2'-O-methylation is involved in critical biological processes, but its biological functions and significance in mRNAs remain largely unknown due to the lack of accurate and efficient identification tools. To overcome this gap, we established NJU-seq (an accurate high-throughput single-base method) and Nm-VAQ (a site-specific quantification tool). We identified thousands of new Nm sites on mRNA of human and mouse cell lines, in which 68 of 84 selected sites were further validated to be 2'-O-methylated more than 1%. Unlike rRNA, the methylated ratios of most validated mRNA Nm sites were lower than 30%. In addition, mRNA 2'-O-methylation was dynamic-changing according to the circumstance, which was presented with MHV infection. Furthermore, Nm sites of lung surgery samples revealed commonness of lung cancer pathogenesis, providing potential new diagnostic markers.

biochemistry↗

bioRxiv2020

Negative effects characterization and comparative transcriptomics elucidation on the lag phase of an industrial S. cerevisiae under the corn stover hydrolysate stress

During biofuels fermentation from pretreated lignocellulosic biomass, the strong toxicity of the lignocellulose hydrolysate is resulted from the synergistic effect of multiple lignocellulosic inhibitors, which far exceeds the sum of effects caused by every single inhibitor. Meanwhile, the synergistic effect is unclear and the underlying response mechanism of the industrial yeast towards the actual pretreated lignocellulose hydrolysate is still under exploration. Here, we employed an industrial S. cerevisiae for the transcriptomic analysis in two time points (early and late) of the lag phase under the corn stover hydrolysate stress. As investigation, the corn stover hydrolysate caused the accumulation of reactive oxygen species (ROS), damages of mitochondrial membrane and endoplasmic reticulum (ER) membrane in the industrial S. cerevisiae YBA_08 during the lag phase, especially these negative effects were more significant at the early lag phase. Based on the transcriptome profile, the industrial S. cerevisiae YBA_08 might recruit stress-related transcription factors (MSN4, STE12, SFL1, CIN5, COM2, MIG3, etc.) through the mitogen-activated protein kinase (MAPK)-signaling pathway to induce a transient G1/G2 arrest, and to activate defense bioprocesses like protectants metabolism, sulfur metabolism, glutaredoxin system, thioredoxin system, heat shock proteins chaperone and oxidoreductase detoxification, resisting those compounded stresses including oxidative stress, osmotic stress and structural stress. Surprisingly, this defense system might be accompanied with the transient repression of several bioprocesses like fatty acid metabolism, purine de novo biosynthesis and ergosterol biosynthesis. ImportanceThis research systematically demonstrated the lag phase response of an industrial yeast to the lignocellulosic hydrolysate in transcriptional level, providing a molecular fundament for understanding the synergistic effect of various lignocellulosic inhibitors and the regulatory mechanism of tolerance for industrial yeasts under this stress.

microbiology↗

bioRxiv2020

HCFC1R1 Deficiency Blocks Herpes Simplex Virus-1 Infection by Inhibiting Nuclear Translocation of HCFC1 and VP16

Upon HSV-1 infection, viral protein 16 (VP16), supported by Host Cell Factor C1 (HCFC1), is rapidly transported into the nucleus, and help to express a series of HSV-1 immediate-early proteins to begin its lytic replication. However, no direct evidence has shown if the HCFC1 deficiency can affect the proliferation of HSV-1 so far. Here, we showed that the HCFC1 deficiency led to a strong resistance to HSV-1 infection. Moreover, we identified Host Cell Factor C1 Regulator 1 (HCFC1R1) as a new host factor acting early in HSV infection for the transport of the HSV-1 capsid to the nucleus. The HCFC1R1 deficiency also led to a strong resistance to HSV-1 infection. The HCFC1R1 deficiency did not affect the attachment of HSV-1 to host cells but act early in HSV-1 infection by perturbing the formation of HCFC1/VP16 complex. Remarkably, in addition to wild-type HSV-1 infection, the host cells in the absence of either HCFC1 or HCFC1R1 showed strong resistant to the infection of TK-deficient HSV-1, which strain can course severe symptoms and tolerate to the current anti-HSV drug Acyclovir. Our data suggest that HCFC1 or HCFC1R1 may be used as the novel target for developing anti-HSV-1 therapies. IMPORTANCEHerpes simplex virus-1 (HSV-1) is widely spread in the human population and can cause a variety of herpetic diseases. Acyclovir, a guanosine analogue that targets the TK protein of HSV-1, is the first specific and selective anti-HSV-1 drug. However, the rapid emergence of resistant HSV-1 strains is occurring worldwide, endangering the efficacy of Acyclovir. Alternatively, targeting host factors is another strategy to stop HSV-1 infection. Unfortunately, although the HSV-1s receptor, Nectin-1, was discovered in 1998, no effective antiviral drug to date has been developed by targeting Nectin-1. Targeting multiple pathways is the ultimate choice to prevent HSV-1 infection. Here we demonstrated that the deletion of HCFC1 or HCFC1R1 exhibits a strong inhibitory effect on both wild-type and TK-deficient HSV-1. Overall, we present evidence that HCFC1 or HCFC1R1 may be used as the novel target for developing anti-HSV-1 therapies with a defined mechanism of action.

microbiology↗

bioRxiv2020

Crystal structure of SARS-CoV-2 nucleocapsid protein RNA binding domain reveals potential unique drug targeting sites

The outbreak of coronavirus disease (COVID-19) in China caused by SARS-CoV-2 virus continually lead to worldwide human infections and deaths. It is currently no specific viral protein targeted therapeutics yet. Viral nucleocapsid protein is a potential antiviral drug target, serving multiple critical functions during the viral life cycle. However, the structural information of SARS-CoV-2 nucleocapsid protein is yet to be clear. Herein, we have determined the 2.7 [A] crystal structure of the N-terminal RNA binding domain of SARS-CoV-2 nucleocapsid protein. Although overall structure is similar with other reported coronavirus nucleocapsid protein N-terminal domain, the surface electrostatic potential characteristics between them are distinct. Further comparison with mild virus type HCoV-OC43 equivalent domain demonstrates a unique potential RNA binding pocket alongside the {beta}-sheet core. Complemented by in vitro binding studies, our data provide several atomic resolution features of SARS-CoV-2 nucleocapsid protein N-terminal domain, guiding the design of novel antiviral agents specific targeting to SARS-CoV-2.

molecular biology↗

bioRxiv2020

Effects of carbon-based additive and ventilation rate on nitrogen loss and microbial community during chicken manure composting

Aerobic composting is a sustainable method for recycling of chicken manure, while its unsuitable porosity and carbon to nitrogen ratio limit the oxygen supply, which must result in high nitrogen loss because of anaerobic micro-zones in the materials. Treatments with five carbon-based additives and two ventilation rates (0.18 and 0.36 L{middle dot}min-1{middle dot}kg-1 DM) were set in chicken manure composting, to investigate their effects on biodegradation process, ammonia (NH3) emission, nitrogen loss, physiochemical properties and microbial community. The additives and ventilation rates influenced the CO2 production from the 2nd week, meanwhile varied the physiochemical parameters all the process. No inhibitory effect on the maturity were observed in all treatments. With woody peat as additive, the NH3 emission amount and nitrogen loss rate were shown as 15.86 mg and 4.02 %, when compared with 31.08-80.13 mg and 24.26-34.24 % in other treatments. The high aeration rate increased the NH3 emission and nitrogen loss, which were varied with different additives. The T-RFLP results showed that the additives and the ventilation rates changed the microbial community, while the prominent microbial clones belonged to the class of Bacilli and Clostridia (in the phylum of Firmicutes), and Alphaproteobacteria, Deltaproteobacteria and Gammaproteobacteria (in the phylum of Proteobacteria). Bacillus spp. was observed to be the most dominant bacteria in all the composting stages and treatments. We concluded that woody peat could improve chicken manure composting more than other additives, especially on controlling nitrogen loss. 0.18 L{middle dot}min-1{middle dot}kg-1 DM was suitable for chicken manure composting with different additives.

bioengineering↗

bioRxiv2020

Infrared heater warming system markedly reduces dew formation: An overlooked factor in arid ecosystems

Dew plays a vital role in ecosystem processes in arid and semi-arid regions and is expected to be affected by climate warming. Infrared heater warming systems have been widely used to simulate climate warming effects on ecosystem. However, how this warming system affects dew formation has been long ignored and rarely addressed. In a typical alpine grassland ecosystem on the Northeast of the Tibetan Plateau, we measured dew amount and duration by artificial condensing surfaces, leaf wetness sensors and in situ dew formation on plants from 2012 to 2017. We also measured plant traits related to dew conditions. The results showed that (1) warming reduced the dew amount by 41.6%-91.1% depending on the measurement method, and reduced dew duration by 32.1 days compared to the ambient condition. (2) Different plant functional groups differed in dew formation. (3) Under the infrared warming treatment, the dew amount decreased with plant height, while under the ambient conditions, the dew amount showed the opposite trend. We concluded that warming with an infrared heater system greatly reduces dew formation, and if ignored, it may lead to overestimation of the effects of climate warming on ecosystem processes in climate change simulation studies.

ecology↗

bioRxiv2020

Molecular and cellular heterogeneity of gastric cancer explained by methylation-driven key regulators

Gastric cancer (GC) is a heterogeneous disease of diverse genetic, genomic, and epigenetic alterations. Tumor microenvironment (TME) also contributes to the heterogeneity of GC. To investigate GC heterogeneity, we developed an Integrative Sequential Causality Test (ISCT) to identify key regulators of GC by integrating DNA methylation, copy number variation, and transcriptomic data. Applying ISCT to three GC cohorts containing methylation, CNV and transcriptomic data, 11 common methylation-driven key regulators (ADHFE1, CDO1, CRYAB, FSTL1, GPT, PKP3, PTPRCAP, RAB25, RHOH, SFN, and SORD) were identified. Based on these 11 genes, gastric tumors were clustered into 3 clusters which were associated with known molecular subtypes, Lauren classification, tumor stage, and patient survival, suggesting significance of the methylation-driven key regulators in molecular and histological heterogeneity of GC. We further showed that chemotherapy benefit was different in the 3 GC clusters and varied depending on the tumor stage. Both immune/stromal proportions in TME and tumor cell genomic variations contributed to expression variations of the 11 methylation-driven key regulators and to the GC heterogeneity.

genomics↗

bioRxiv2020

The origin of domestication genes in goats

Goat domestication was critical for agriculture and civilization, but its underlying genetic changes and selection regimes remain unclear. Here we analyze the genomes of worldwide domestic goats, wild caprid species and historical remains, providing evidence of an ancient introgression event from a West Caucasian tur-like species to the ancestor of domestic goats. One introgressed locus with a strong signature of selection harbors the MUC6 gene which encodes a gastrointestinally secreted mucin. Experiments revealed that the nearly fixed introgressed haplotype confers enhanced immune resistance to gastrointestinal pathogens. Another locus with a strong signal of selection may be related to behavior. The selected alleles at these two loci emerged in domestic goats at least 7,200 and 8,100 years ago, respectively, and increased to high frequencies concurrent with the expansion of the ubiquitous modern mitochondrial haplogroup A. Tracking these archaeologically cryptic evolutionary transformations provides new insights into the mechanism of animal domestication. One Sentence SummaryGoat domestication mainly focused on immune and neural genes, with adaptive leaps driven by introgression and selection.

genomics↗

bioRxiv2019

Vineyard ecosystems are structured and distinguished by fungal communities impacting the flavour and quality of wine

The flavours of foods and beverages are formed by the agricultural environment where the plants are grown. In the case of wine, the location and environmental features of the vineyard site imprint the wine with distinctive aromas and flavours. Microbial growth and metabolism play an integral role in wine production from the vineyard to the winery, by influencing grapevine health, wine fermentation, and the flavour, aroma and quality of finished wines. The mechanism by which microbial distribution patterns drive wine metabolites is unclear and while flavour has been correlated with bacterial composition for red wines, bacterial activity provides a minor biochemical conversion in wine fermentation. Here, we collected samples across six distinct winegrowing areas in southern Australia to investigate regional distribution patterns of both fungi and bacteria and how this corresponds with wine aroma compounds. Results show that soil and must microbiota distinguish winegrowing regions and are related to wine chemical profiles. We found a strong relationship between microbial and wine metabolic profiles, and this relationship was maintained despite differing abiotic drivers (soil properties and weather/ climatic measures). Notably, fungal communities played the principal role in shaping wine aroma profiles and regional distinctiveness. We found that the soil microbiome is a potential source of grape- and must-associated fungi, and therefore the weather and soil conditions could influence the wine characteristics via shaping the soil fungal community compositions. Our study describes a comprehensive scenario of wine microbial biogeography in which microbial diversity responds to surrounding environments and ultimately sculpts wine aromatic characteristics. These findings provide perspectives for thoughtful human practices to optimise food and beverage flavour and composition through understanding of fungal activity and abundance.

microbiology↗

bioRxiv2019

Cep57 and Cep57l1 cooperate to recruit the Cep63-Cep152 complex for centriole biogenesis

Cep152 and Cep63 act as the cradle and recruit Plk4 to initiate the centriole biogenesis in a mother centriole dependent manner. However, how the Cep152-Cep63 complex is targeted to the proximal end of mother centrioles is unclear. In this study, we show that Cep57 and its paralog, Cep57l1, colocalize with Cep63 and Cep152 at the proximal end of mother centrioles in both cycling cells and differentiated multiciliated cells. Both Cep57 and Cep57l1 associate with the Cep152-Cep63 complex by directly binding to the centrosomal targeting region of Cep63. Co-depletion of Cep57 and Cep57l1 blocks the loading of Cep63-Cep152 to the centriole and subsequently prevents centriole duplication. We propose that Cep57 and Cep57l1 act together to ensure the recruitment of the Cep63-Cep152 complex to the mother centrioles for procentriole formation. Summary statementCep57 and its paralog, Cep57l1, cooperatively act as a molecular scaffold to recruit the Cep63-Cep152 cradle to the proximal end of centrioles in the early stages of centriole duplication.

cell biology↗

bioRxiv2019

Genetic Association Study of Childhood Aggression across raters, instruments and age

Childhood aggressive behavior (AGG) has a substantial heritability of around 50%. Here we present a genome-wide association meta-analysis (GWAMA) of childhood AGG, in which all phenotype measures across childhood ages from multiple assessors were included. We analyzed phenotype assessments for a total of 328 935 observations from 87 485 children aged between 1.5 and 18 years, while accounting for sample overlap. We also meta-analyzed within subsets of the data - i.e. within rater, instrument and age. SNP-heritability for the overall meta-analysis (AGGoverall) was 3.31% (SE=0.0038). We found no genome-wide significant SNPs for AGGoverall. The gene-based analysis returned three significant genes: ST3GAL3 (P=1.6E-06), PCDH7 (P=2.0E-06) and IPO13 (P=2.5E-06). All three genes have previously been associated with educational traits. Polygenic scores based on our GWAMA significantly predicted aggression in a holdout sample of children (variance explained = 0.44%) and in retrospectively assessed childhood aggression (variance explained = 0.20%). Genetic correlations (rg) among rater-specific assessment of AGG ranged from rg =0.46 between self- and teacher-assessment to rg =0.81 between mother- and teacher-assessment. We obtained moderate to strong rgs with selected phenotypes from multiple domains, but hardly with any of the classical biomarkers thought to be associated with AGG. Significant genetic correlations were observed with most psychiatric and psychological traits (range |rg| : 0.19 - 1.00), except for obsessive-compulsive disorder. Aggression had a negative genetic correlation (rg =~ -0.5) with cognitive traits and age at first birth. Aggression was strongly genetically correlated with smoking phenotypes (range |rg| : 0.46 - 0.60). The genetic correlations between aggression and psychiatric disorders were weaker for teacher-reported AGG than for mother- and self-reported AGG. The current GWAMA of childhood aggression provides a powerful tool to interrogate the rater-specific genetic etiology of AGG.

genomics↗

bioRxiv2019

The human mitochondrial 12S rRNA m4C methyltransferase METTL15 is required for proper mitochondrial function

Mitochondrial DNA (mtDNA) gene expression is coordinately regulated pre- and post-transcriptionally, and its perturbation can lead to human pathologies. Mitochondrial ribosomal RNAs (mt-rRNAs) undergo a series of nucleotide modifications following release from polycistronic mitochondrial RNA (mtRNA) precursors, which is essential for mitochondrial ribosomal biogenesis. Cytosine N4 methylation (m4C) at position 839 of the 12S small subunit (SSU) mt-rRNA was identified decades ago, however, its biogenesis and function have not been elucidated in details. Here we demonstrate that human Methyltransferase Like 15 (METTL15) is responsible for 12S mt-rRNA methylation at C839 (m4C839) both in vivo and in vitro. We tracked the evolutionary history of RNA m4C methyltransferases and revealed the difference in substrates preference between METTL15 and its bacterial ortholog rsmH. Additionally, unlike the very modest impact on ribosome upon loss of m4C methylation in bacterial SSU rRNA, we found that depletion of METTL15 specifically causes severe defects in mitochondrial ribosome assembly, which leads to an impaired translation of mitochondrial protein-coding genes and a decreased mitochondrial respiration capacity. Our findings point to a co-evolution of methylatransferase specificities and modification patterns in rRNA with differential impact on prokaryotic ribosome versus eukaryotic mitochondrial ribosome.

molecular biology↗

bioRxiv2019

Behaviour and cold hardiness of the purple stem borer in winter, colonizing more northerly latitudes

To escape or alleviate low temperatures in winter, insects have evolved many behavioral and physiological strategies. The rice pest insect, the purple stem borer, Sesamia inferens (Walker) is currently reported to be expanding their northern distributions and causing damage to summer maize in Xinxiang, China. However, their method of coping with the lower temperature in the new northern breeding area in winter is largely unknown. This paper investigates the overwinter site of S. inferens, and identifies the cold hardiness of larvae collected from a new breeding area in winter and explores a potential distribution based on low temperature threshold and on species distribution model, MaxEnt. The results show that the overwintering location of the S. inferens population is more likely to be underground with increasing latitude and,in the north, with the temperature decreasing, the larvae gradually moved down the corn stalk and drilled completely underground by February 18th. Those who were still above ground were all winterkilled. The cold hardiness test shows the species is a moderate freeze-tolerant one, and Supercooling Points (SCP), Freezing Points (FP) and mortality rate during the middle of winter (January, SCP: -7.653, FP: -6.596) were significantly lower than early winter (October) or late winter (March). Distribution in the new expansion area was predicted and the survival probability area was below N 35{degrees} for the Air Lower Lethal Temperature (ALLT50) and below N 40{degrees} for the Underground Lower Lethal Temperature (ULLT50), The suitable habitat areas for S. inferens with MaxEnt were also below N 40{degrees}. This study suggests the overwinter strategies have led to the colonization of up to a five degree more northerly overwintering latitude. This behavior of S. inferens could help maize producers to propose a control method to increase pest mortality by extracting the maize stubble after harvest.

animal behavior and cognition↗

bioRxiv2019

A new method of teaching medical statistics at medical universities in Guangdong

Although statistics play a significant role in the medical profession, studying medical statistics is challenging because this topic is more difficult to comprehend than other subjects included in medical curricula. Therefore, improving the teaching of medical statistics to meet the requirements of modern medical students/physicians is an essential task. In this study, based on responses about studying medical statistics completed by medical students, we developed a novel approach to teaching medical statistics named "purpose, database, types of variable, and relationship between variables (PDTR)", which emphasizes how to simply master statistical applications and reduces class hours for students. Also, pilot course was implemented. We discovered that the participants using PDTR performed better on examinations of medical statistics than did graduates of institutions using traditional teaching methods (86.39{+/-}3.72 vs 73.72{+/-}6.58, P < 0.001). In addition, positive feedback was received by participants (>80%). Altogether, as a completely novel pedagogical method of teaching medical statistics, PDTR overcomes the negative attitudes of students towards medical statistics, enhances enthusiasm for learning statistics, and remarkably simplifies the process of studying statistical applications. These advantages are undoubtedly conductive to improving the effective use of medical statistics in physicians professional work.

scientific communication and education↗

bioRxiv2019

RNAseq studies reveal distinct transcriptional response to vitamin A deficiency in small intestine versus colon, discovering novel VA-regulated genes

Vitamin A (VA) deficiency remains prevalent in resource limited countries, affecting over 250 million preschool aged children. Vitamin A deficiency is associated with reduced intestinal barrier function and increased risk of mortality due to mucosal infection. Using Citrobacter rodentium (C. rodentium) infection in mice as a model for diarrheal diseases in humans, previous reports showed reduced pathogen clearance and survival in vitamin A deficient (VAD) mice compared to their vitamin A sufficient (VAS) counterparts. ObjectivesTo characterize and compare the impact of preexisting VA deficiency on gene expression patterns in the small intestine (SI) and the colon, and to discover novel target genes in VA-related biological pathways. MethodsVAD mice were generated by feeding VAD diet to pregnant C57/BL6 dams and their post-weaning offspring. RNAseq were performed using the total mRNAs extracted from SI and colon. Differentially Expressed Gene (DEG), Gene Ontology (GO) enrichment, and Weighted Gene Co-expression Network Analysis (WGCNA) were performed to characterize expression and co-expression patterns. ResultsDEGs compared between VAS and VAD groups detected 49 SI and 94 colon genes. By GO information, SI DEGs were significantly enriched in categories relevant to retinoid metabolic process, molecule binding, and immune function. Immunity related pathways, including "humoral immune response" and "complement activation" were positively associated with VA in SI. Three co-expression modules showed significant correlation with VA status in SI; these modules contained four known retinoic acid targets. In addition, other SI genes of interest (e.g. Mbl2, Cxcl14, and Nr0b2) in these modules were suggested as new candidate genes regulated by VA. Furthermore, our analysis showed that markers of two cell types in SI, mast cells and Tuft cells, were significantly altered by VA status. In colon, "cell division" was the only enriched category and was negatively associated with VA. Thus, comparison of co-expression modules between SI and colon indicated distinct networks under the regulation of dietary VA and suggest that preexisting VAD could have a significant impact on the host response to a variety of disease conditions.

physiology↗

bioRxiv2019

The Bovine Genome Variation Database (BGVD): Integrated Web-database for Bovine Sequencing Variations and Selective Signatures

Next-generation sequencing has yielded a vast amount of cattle genomic data for the global characterization of population genetic diversity and the identification of regions of the genome under natural and artificial selection. However, efficient storage, querying and visualization of such large datasets remain challenging. Here, we developed a comprehensive Bovine Genome Variation Database (BGVD, http://animal.nwsuaf.edu.cn/BosVar) that provides six main functionalities: Gene Search, Variation Search, Genomic Signature Search, Genome Browser, Alignment Search Tools and the Genome Coordinate Conversion Tool. The BGVD contains information on genomic variations comprising [~]60.44 M SNPs, [~]6.86 M indels, 76,634 CNV regions and signatures of selective sweeps in 432 samples from modern cattle worldwide. Users can quickly retrieve distribution patterns of these variations for 54 cattle breeds through an interactive source of breed origin map using a given gene symbol or genomic region for any of the three versions of the bovine reference genomes (ARS-UCD1.2, UMD3.1.1, and Btau 5.0.1). Signals of selection are displayed as Manhattan plots and Genome Browser tracks. To further investigate and visualize the relationships between variants and signatures of selection, the Genome Browser integrates all variations, selection data and resources from NCBI, the UCSC Genome Browser and AnimalQTLdb. Collectively, all these features make the BGVD a useful archive for in-depth data mining and analyses of cattle biology and cattle breeding on a global scale.

genomics↗

bioRxiv2019

Parietal prefrontal feedforward connectivity in association with schizophrenia genetic risk and delusions

BackgroundConceptualizations of delusion formation implicate, in part, deficits at feed-forward information transfer across posterior to prefrontal cortices, resulting in dysfunctional integration of new information in favor of over-familiar prior beliefs. Here, we used functional MRI and machine learning models to examine feedforward parietal-prefrontal information transfer in schizophrenia patients in relation to delusional thinking, and polygenic risk for schizophrenia.\n\nMethodsWe studied 66 schizophrenia patients and 143 healthy controls as they performed context updating during working memory (WM). Dynamic causal models of effective connectivity were focused on prefrontal and parietal cortex, where we examined parietal-prefrontal connectivity in relation to delusions in patients. We further tested for an effect of polygenic risk for schizophrenia on connectivity in healthy individuals. We then leveraged support vector regression models to define optimal normalized target connectivity tailored for each patient, and tested the extent to which deviation from this target predicted individual variation in delusion severity.\n\nResultsIn schizophrenia patients, updating and manipulating context information was disproportionately less accurate than was WM maintenance, with a task accuracy-by-diagnosis interaction. Also, patients with delusions tended to have relatively reduced feedforward effective connectivity during context updating in WM manipulation. The same parietal-prefrontal feedforward prefrontal effective connectivity was adversely influenced by polygenic risk for schizophrenia in healthy subjects. Individual patients deviation from predicted normal feedforward connectivity based on the support vector models correlated with delusional severity.\n\nConclusionsThese computationally-derived observations support a role for feed-forward parietal-prefrontal information processing deficits in delusional psychopathology, and in genetic risk for schizophrenia.

neuroscience↗