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Zeng, Y.

Publications and source records attributed to Zeng, Y..

At least 163 records · Page 9Linked to original sources

Unraveling three-dimensional chromatin structural dynamics during spermatogonial differentiation

Spermatogonial stem cells (SSCs) are able to undergo self-renewal and differentiation. Unlike the self-renewal that replenishes the SSC and progenitor pool, the differentiation is an irreversible process committed to meiosis. While the preparations for meiotic events in differentiating spermatogonia (Di-SG) are likely to be accompanied by alterations in chromatin structure, the three-dimensional (3D) chromatin architectural difference between SSCs and Di-SG, and the higher-order chromatin dynamics during spermatogonial differentiation, have not been systematically investigated. Here, we performed in situ high-throughput chromosome conformation capture (Hi-C), RNA-sequencing (RNA-seq) and chromatin immunoprecipitation-sequencing (ChIP-seq) analyses on porcine undifferentiated spermatogonia (Un-SG, which consist of SSCs and progenitors) and Di-SG. By integrating and analyzing these data, we identified that Di-SG exhibited increased disorder but weakened compartmentalization and topologically associating domains (TADs) in comparison with Un-SG, suggesting that diminished higher-order chromatin architecture in meiotic cells, as shown by recent reports, is preprogramed in Di-SG. Our data also revealed that A/B compartments and TADs were related to dynamic gene expression during spermatogonial differentiation. We further unraveled the contribution of promoter-enhancer interactions (PEIs) to pre-meiotic transcriptional regulation, which has not been accomplished in previous studies due to limited cell input and resolution. Together, our study uncovered the 3D chromatin structure of SSCs/progenitors and Di-SG, as well as the interplay between higher-order chromatin architecture and dynamic gene expression during spermatogonial differentiation, providing novel insights into the mechanisms for SSC self-renewal and differentiation and having implications for diagnosis and treatment of male sub-/infertility.

developmental biology↗

Losartan shifts social reward motivation and punishment feedback sensitivity via modulating midbrain-striato-frontal circuits

Social deficits and dysregulations in dopaminergic midbrain-striato-frontal circuits represent transdiagnostic symptoms across psychiatric disorders. Animal models suggest that interactions between the dopamine and renin-angiotensin system may modulate learning and reward-related processes. The present study therefore examined the behavioral and neural effects of the angiotensin II type 1 receptor (AT1R) antagonist Losartan on social reward and punishment processing in humans. A pre-registered randomized double-blind placebo-controlled between-subject pharmacological design was combined with a social incentive delay fMRI paradigm during which subjects could avoid social punishment or gain social reward. Healthy volunteers received a single-dose of Losartan (50mg, n=43) or placebo (n=44). Reaction times and emotional ratings served as behavioral outcomes, on the neural level activation and connectivity were modelled. Relative to placebo, Losartan modulated the reaction time and arousal differences between social punishment and social reward. On the neural level the Losartan-enhanced motivational salience of social rewards was accompanied by stronger ventral striatum-prefrontal connectivity during reward anticipation. Losartan increased the reward-neutral difference in the ventral tegmental area (VTA) and attenuated VTA associated connectivity with the bilateral insula in response to punishment during the outcome phase. Losartan modulated approach-avoidance motivation and emotional salience during social punishment versus social reward via modulating distinct core nodes of the midbrain-striato-frontal circuits. The findings document a modulatory role of the renin-angiotensin system in these circuits and associated social processes, suggesting a promising treatment target to alleviate social dysregulations. Significance StatementSocial deficits and anhedonia characterize several mental disoders and have been linked to the midbrain-striato-frontal circuits of the brain. Based on initial findings from animal models we here combine the pharmacological blockade of the angiotensin II type 1 receptor (AT1R) via Losartan with functional MRI to demonstrate that AT1R blockade enhances the motivational salience of social rewards and attenuates the negative impact of social punishment via modulating the communication in the midbrain-striato-frontal circuits in humans. The findings demonstrate for the first time an important role of the AT1R in social reward processing in humans and render the AT1R as promising novel treatment target for social and motivational deficits in mental disoders.

neuroscience↗

Chasing the metabolism of novel syntrophic acetate-oxidizing bacteria in thermophilic methanogenic chemostats

BackgroundAcetate is the major intermediate of anaerobic digestion of organic waste to CH4. In anaerobic methanogenic systems, acetate degradation is carried out by either acetoclastic methanogenesis or a syntrophic degradation by a syntrophy of acetate oxidizers and hydrogenotrophic methanogens. Due to challenges in isolation of syntrophic acetate-oxidizing bacteria (SAOB), the diversity and metabolism of SAOB, as well as the mechanisms of their interactions with methanogenic partners remain poorly understood. ResultsIn this study, we successfully enriched previously unknown SAOB by operating continuous thermophilic anaerobic chemostats fed with acetate, propionate, butyrate, or isovalerate as the sole carbon and energy source. They represent novel clades belonging to Clostridia, Thermoanaerobacteraceae, Anaerolineae, and Gemmatimonadetes. In these SAOB, acetate is degraded through reverse Wood-Ljungdahl pathway or an alternative pathway mediated by the glycine cleavage system, while the SAOB possessing the latter pathway dominated the bacterial community. Moreover, H2 is the major product of the acetate degradation by these SAOB, which is mediated by [FeFe]-type electron-confurcating hydrogenases, formate dehydrogenases, and NADPH reoxidation complexes. We also identified the methanogen partner of these SAOB in acetate-fed chemostat, Methanosarcina thermophila, which highly expressed genes for CO2-reducing methanogenesis and hydrogenases to supportively consuming H2 at transcriptional level. Finally, our bioinformatical analyses further suggested that these previously unknown syntrophic lineages were prevalent and might play critical roles in thermophilic methanogenic reactors. ConclusionThis study expands our understanding on the phylogenetic diversity and in situ biological functions of uncultured syntrophic acetate degraders, and presents novel insights on how they interact with their methanogens partner. These knowledges strengthen our awareness on the important role of SAO in thermophilic methanogenesis and may be applied to manage microbial community to improve the performance and efficiency of anaerobic digestion.

microbiology↗

In vitro Evaluation of Lytic Phages for Carbapenem-Resistant Klebsiella pneumoniae Isolates

Klebsiella pneumoniae is a dominant cause of community-acquired and nosocomial infections, specifically among immunocompromised individuals. The increasing occurrence of multidrug-resistant (MDR) isolates has significantly impacted the effectiveness of antimicrobial agents. As antibiotic resistance is becoming prevalent, the use of bacteriophages to treat pathogenic bacterial infections is becoming revitalized. Elucidating the details of phage-bacteria interactions will provide insights into phage biology and the better development of phage therapies. In this study, a total of 22 K. pneumoniae isolates were assessed for their genetic and phenotypic relatedness by multi-locus sequence typing (MLST), endonuclease S1 nuclease pulsed-field gel electrophoresis (S1-PFGE), and in vitro antibiotic susceptibility testing. In addition, the beta-lactamase gene (blaKPC) was characterized to determine the spread and outbreak of K. pneumoniae carbapenemase (KPC)-producing enterobacterial pathogens. Using these K. pneumoniae isolates, three phages were isolated and characterized to evaluate the application of lytic phages against these 22 ST11 K. pneumoniae isolates. In vitro inhibition assays with three phages and K. pneumoniae strain ZS15 demonstrated the strong lytic potential of the phages, however, followed by the rapid growth of phage-resistant mutants. Together, this data adds more comprehensive knowledge to known phage biology and further emphasizes their complexity and future challenges to overcome prior to using phages for controlling this important MDR bacterium.

microbiology↗

Lifestyle and Genetic Factors Modify Parent-of-Origin Effects on the Human Methylome

Backgroundparent-of-origin effects (POE) play important roles in development and complex disease and thus understanding their regulation and associated molecular and phenotypic variation are warranted. Previous studies have mainly focused on the detection of genomic regions or phenotypes regulated by POE. Understanding whether POE may be modified by environmental or genetic exposures is important for understanding of the source of POE-associated variation, but only a few case studies addressing these modifiable POE exist. Methodsin order to understand this high order of POE regulation, we screened 101 genetic and environmental factors such as "predicted mRNA expression levels" of DNA methylation/imprinting machinery genes and early/late lifestyle/environmental exposures. POE-mQTL-modifier interaction models were proposed to test the potential of these factors to modify POE at DNA methylation using data from Generation Scotland: The Scottish Family Health Study(N=2315). Resultsa set of vulnerable/modifiable POE-CpGs were identified (modifiable-POE-regulated CpGs, N=3). Four factors, "lifetime smoking status" and "predicted mRNA expression levels" of TET2, SIRT1 and KDM1A, were found to significantly modify the POE on the three CpGs in both discovery and replication datasets. Importantly, the POE on one of the CpGs were modified by both genetic and environmental factors. We further identified plasma protein and health-related phenotypes associated with the methylation level of one of the identified CpGs. Conclusionsthe modifiable POE identified here revealed an important yet indirect path through which genetic background and environmental exposures introduce their effect on DNA methylation, motivating future comprehensive evaluation of the role of these modifiers in complex diseases. Key MessagesO_LIPrevious population studies showed that parent-origin-effects(POE) on human methylome can be widespread and affect health-related traits and diseases. C_LIO_LIWhether the POE remained stable throughout the life or can be modified by genetic or environmental factors were largely unknown. C_LIO_LIBy systematically screening 101 genetic and environmental factors in a large cohort(GS:SFHS) we provided the first population-level replicated evidence that those measuring lifestyle (smoking) and predicted expression of DNA methylation- or imprinting-machinery genes are amongst the factors that can modulate the POE of mQTLs for a set of CpG sites. C_LIO_LIWe found those modifiable-POE-regulated CpGs are also phenotypically relevant - one is associated with the plasma levels of CLEC4C and health-related phenotypes such as HDL levels. C_LIO_LIThe modifiable POE identified here revealed an important yet indirect path through which genetic background and environmental exposures introduce their effect on DNA methylation and their potential phenotypic consequences. This also provided a paradigm for further studies to explore how environmental and genetic effects can be integrated at methylation level. C_LI

genetics↗

A Robust and Scalable Graph Neural Network for Accurate Single Cell Classification

MotivationSingle-cell RNA sequencing (scRNA-seq) techniques provide high-resolution data on cellular heterogeneity in diverse tissues, and a critical step for the data analysis is cell type identification. Traditional methods usually cluster the cells and manually identify cell clusters through marker genes, which is time-consuming and subjective. With the launch of several large-scale single-cell projects, millions of sequenced cells have been annotated and it is promising to transfer labels from the annotated datasets to newly generated datasets. One powerful way for the transferring is to learn cell relations through the graph neural network (GNN), while vanilla GNN is difficult to process millions of cells due to the expensive costs of the message-passing procedure at each training epoch. ResultsHere, we have developed a robust and scalable GNN-based method for accurate single cell classification (GraphCS), where the graph is constructed to connect similar cells within and between labelled and unlabelled scRNA-seq datasets for propagation of shared information. To overcome the slow information propagation of GNN at each training epoch, the diffused information is pre-calculated via the approximate Generalized PageRank algorithm, enabling sublinear complexity for a high speed and scalability on millions of cells. Compared with existing methods, GraphCS demonstrates better performance on simulated, cross-platform, and cross-species scRNA-seq datasets. More importantly, our model can achieve superior performance on a large dataset with one million cells within 50 minutes.

bioinformatics↗

Broad neutralization against SARS-CoV-2 variants induced by a modified B.1.351 protein-based COVID-19 vaccine candidate

Beginning in late 2020, the emergence and spread of multiple variant SARS-CoV-2 strains harboring mutations which may enable immune escape necessitates the rapid evaluation of second generation COVID-19 vaccines, with the goal of inducing optimized immune responses that are broadly protective. Here we demonstrate in a mouse immunogenicity study that two doses of a modified B.1.351 spike (S)-Trimer vaccine (B.1.351 S-Trimer) candidate can induce strong humoral immune responses that can broadly neutralize both the original SARS-CoV-2 strain (Wuhan-Hu-1) and Variants of Concern (VOCs), including the UK variant (B.1.1.7), South African variant (B.1.351) and Brazil variant (P.1). Furthermore, while immunization with two doses (prime-boost) of Prototype S-Trimer vaccine (based on the original SARS-CoV-2 strain) induced lower levels of cross-reactive neutralization against the B.1.351 variant, a third dose (booster) administered with either Prototype S-Trimer or B.1.351 S-Trimer was able to increase neutralizing antibody titers against B.1.351 to levels comparable to neutralizing antibody titers against the original strain elicited by two doses of Prototype S-Trimer.

immunology↗

An Aerobic Anoxygenic Phototrophic Bacterium Fixes CO2 via the Calvin-Benson-Bassham Cycle

Aerobic anoxygenic phototrophic bacteria (AAnPB) are photoheterotrophs, which use light as auxiliary energy and require organic carbon (OC) for growth. Herein, we report the unusual strain B3, which is a true AAnPB because it requires oxygen for growth, harbours genes for cbb3- and bd-type cytochromes and acsF, and produces bacteriochlorophyll. The B3 genome encodes the complete metabolic pathways for AAnPB light utilization, CO2 fixation via Calvin-Benson-Bassham (CBB) cycle and oxidation of sulfite and H2, and the transcriptome indicated that all components of these pathways were fully transcribed. Expression of the marker genes related to photosynthesis, including pufM for light harnessing and rbcL for CO2 fixation, and the activity of RubisCO, the key enzyme in the Calvin-Benson-Bassham (CBB) cycle, increased in response to decreased OC supply. Large amounts of cell biomass were obtained in liquid BG11 medium under illumination. The strain thus likely photoautotrophically grows using sulfite or H2 as an electron donor. Similar GC contents between photosynthesis, the CBB cycle and 16S rRNA genes and the consistency of their phylogenetic topologies implied that light harnessing and carbon fixation genes evolved vertically from an anaerobic phototrophic ancestor of Rhodospirillaceae in Alphaproteobacteria. In conclusion, strain B3 represents a novel AAnPB characterized by photoautotrophy using the CBB cycle. This kind of AAnPB may be ecologically significant in the global carbon cycle.

microbiology↗

Location, location, location- choice of Voxel-Based Morphometry processing pipeline drives variability in the location of neuroanatomical brain markers

Fundamental and clinical neuroscience has benefited from the development of automated computational analyses of Magnetic Resonance Imaging (MRI) data, such as Voxel-based Morphometry (VBM). VBM determines regional gray matter variations with high spatial resolution and results are commonly interpreted in a regional-specific manner, for instance with respect to which specific brain regions differ in volume between women and men. In excess of 600 papers using VBM are now published every year and a number of different automated VBM processing pipelines are frequently used in analyses although it remains to be fully and systematically assessed whether they come up with the same answers. Here we have therefore examined variability between four commonly used VBM pipelines in two large brain structural datasets. Spatial similarity, reproducibility and reliability of the processed gray matter brain maps was generally low between pipelines. Examination of sex-differences and age-related changes in gray matter volumes revealed considerable differences between the pipelines in terms of the specific regions identified as well as meta-analytic characterization of their function. In contrast, applying machine learning-based multivariate analyses allowed an accurate prediction of sex or age based on the gray matter maps across pipelines, although prediction accuracy differed strongly between them. Together the findings suggest that the choice of pipeline alone leads to considerable variability in brain structural analyses which poses a serious challenge for reproducibility as well as interpretation.

neuroscience↗

scAdapt: Virtual adversarial domain adaptation network for single cell RNA-seq data classification across platforms and species

MotivationIn single cell analyses, cell types are conventionally identified based on known marker gene expressions. Such approaches are time-consuming and irreproducible. Therefore, many new supervised methods have been developed to identify cell types for target datasets using the rapid accumulation of public datasets. However, these approaches are sensitive to batch effects or biological variations since the data distributions are different in cross-platforms or species predictions. ResultsWe developed scAdapt, a virtual adversarial domain adaptation network to transfer cell labels between datasets with batch effects. scAdapt used both the labeled source and unlabeled target data to train an enhanced classifier, and aligned the labeled source centroid and pseudo-labeled target centroid to generate a joint embedding. We demonstrate that scAdapt outperforms existing methods for classification in simulated, cross-platforms, cross-species, and spatial transcriptomic datasets. Further quantitative evaluations and visualizations for the aligned embeddings confirm the superiority in cell mixing and preserving discriminative cluster structure present in the original datasets. Availabilityhttps://github.com/zhoux85/scAdapt. Contactangyd25@mail.sysu.edu.cn or luojinx5@mail.sysu.edu.cn

bioinformatics↗

De novo assembly, annotation, and comparative analysis of 26 diverse maize genomes

We report de novo genome assemblies, transcriptomes, annotations, and methylomes for the 26 inbreds that serve as the founders for the maize nested association mapping population. The data indicate that the number of pan-genes exceeds 103,000 and that the ancient tetraploid character of maize continues to degrade by fractionation to the present day. Excellent contiguity over repeat arrays and complete annotation of centromeres further reveal the locations and internal structures of major cytological landmarks. We show that combining structural variation with SNPs can improve the power of quantitative mapping studies. Finally, we document variation at the level of DNA methylation, and demonstrate that unmethylated regions are enriched for cis-regulatory elements that overlap QTL and contribute to changes in gene expression. One sentence summaryA multi-genome analysis of maize reveals previously unknown variation in gene content, genome structure, and methylation.

genomics↗

Secondary rewards acquire enhanced incentive motivation via increasing anticipatory activity of the lateral orbitofrontal cortex

The motivation to strive for and consume primary rewards such as palatable food is bound by internal satiation and devaluation mechanisms, yet secondary rewards such as money may not be bound by these regulatory mechanisms. The present study therefore aimed at determining diverging devaluation trajectories for primary (chocolate milk) and secondary (money) reinforcers on the behavioral and neural level. Satiation procedures combined with a choice (Experiment 1) and an incentive delay (Experiment 2) paradigm consistently revealed decreased hedonic value for the primary reward as reflected by decreasing hedonic evaluation and choice preference, while hedonic value and preferences for the secondary reward increased. Concomitantly acquired functional near-infrared spectroscopy (fNIRS) data during the incentive delay paradigm revealed that increasing value of the secondary reward was accompanied by increasing anticipatory activation in the lateral orbitofrontal cortex, while during the consummatory phase the secondary reinforcer associated with higher medial orbitofrontal activity irrespective of devaluation stage. Overall, the findings suggest that - in contrast to primary reinforcers - secondary reinforcers can acquire progressively enhanced incentive motivation with repeated receipt, suggesting a mechanism which could promote escalating striving to obtain secondary rewards.

neuroscience↗

Dissecting human skeletal stem cell ontogeny by single-cell transcriptomic and functional analyses

Human skeletal stem cells (SSCs) have been discovered in fetal and adult bones. However, the spatiotemporal ontogeny of human SSCs during embryogenesis has been elusive. Here we map the transcriptional landscape of human embryonic skeletogenesis at single-cell resolution to address this fundamental question. We found remarkable heterogeneity within human limb bud mesenchyme and epithelium, as well as the earliest osteo-chondrogenic progenitors. Importantly, embryonic SSCs (eSSCs) were found in the perichondrium of human long bones, which self-renew and generate osteochondral lineage cells, but not adipocytes or hematopoietic stroma. eSSCs are marked by the adhesion molecule CADM1 and highly enrich FOXP1/2 transcriptional network. Interestingly, neural crest-derived cells with similar phenotypic markers and transcriptional network were also found in the sagittal suture of human embryonic calvaria. Taken together, this study revealed the cellular heterogeneity and lineage hierarchy during human embryonic skeletogenesis, and identified distinct skeletal stem/progenitor cells that orchestrate endochondral and intramembranous ossification.

developmental biology↗

Kaposi's Sarcoma Herpesvirus Is Associated with Osteosarcoma in Xinjiang Uyghur Population

Osteosarcoma is the most common malignant tumor of bone predominately affecting adolescents and young adults. Viral etiology of osteosarcoma has been proposed more than a half-century ago but never been proven by identifying any virus authentically associated with human osteosarcoma. The Uyghur ethnic population in Xinjiang China has an unusually high prevalence of Kaposis sarcoma-associated herpesvirus (KSHV) infection and elevated incidence of osteosarcoma. In the current study, we explored the possible association of KSHV infection and osteosarcoma occurrence. Our seroepidemiological study revealed that KSHV prevalence was significantly elevated in osteosarcoma patients versus the general population in the Xinjiang Uyghur population (OR, 10.23; 95%CI, 4.25, 18.89). The KSHV DNA genome and viral latent nuclear antigen LANA were detected in most osteosarcoma tumor cells. Gene expression profiling analysis showed that KSHV positive osteosarcoma represents a distinct subtype of osteosarcomas with viral gene-driven signaling pathways that are important for osteosarcoma development. We conclude that KSHV infection is a risk factor for osteosarcoma and KSHV is associated with some osteosarcomas, representing a newly identified viral-associated endemic cancer. SignificanceViral etiology of osteosarcoma was proposed previously but has never been proven by identifying any virus that is authentically associated with human osteosarcoma. The current study revealed an association of human osteosarcoma with KSHV infection in Uyghur osteosarcoma patients. First, this study provides the first evidence that supports the possible viral etiology of human osteosarcoma. The gene expression profiling study showed that KSHV-positive osteosarcoma represents a distinct subtype of osteosarcomas, which is of diagnostic, prognostic and therapeutic significance. Second, KSHV-associated osteosarcomas preferentially occur in children and young adults, predicting that KSHV-positive children in KSHV endemic region may be at great risk for osteosarcoma. Third, the finding extended the range of human cancers associated with viruses.

microbiology↗

Dynamic integration and segregation of amygdala subregional functional circuits linking to physiological arousal

The dynamical organization of brain networks is essential to support human cognition and emotion for rapid adaption to ever-changing environment. As the core nodes of emotion-related brain circuitry, the basolateral amygdala (BLA) and centromedial amygdala (CMA) as two major amygdalar nuclei, are recognized to play distinct roles in affective functions and internal states, via their unique connections with cortical and subcortical structures in rodents. However, little is known how the dynamical organization of emotion-related brain circuitry reflects internal autonomic responses in humans. Using resting-state functional magnetic resonance imaging (fMRI) with K-means clustering approach in a total of 79 young healthy individuals (cohort 1: 42; cohort 2: 37), we identified two distinct states of BLA- and CMA-based intrinsic connectivity patterns, with one state (integration) showing generally stronger BLA- and CMA-based intrinsic connectivity with multiple brain networks, while the other (segregation) exhibiting weaker yet dissociable connectivity patterns. In an independent cohort 2 of fMRI data with concurrent recording of skin conductance, we replicated two similar dynamic states and further found higher skin conductance level in the integration than segregation state. Moreover, machine learning-based Elastic-net regression analyses revealed that time-varying BLA and CMA intrinsic connectivity with distinct network configurations yield higher predictive values for spontaneous fluctuations of skin conductance level in the integration than segregation state. Our findings highlight dynamic functional organization of emotion-related amygdala nuclei circuits and networks and its links to spontaneous autonomic arousal in humans.

neuroscience↗

The effect of Basal core promoter and pre-core mutations on HBV replication and persistence in mice

The appearance of the BCP or Pre-C mutations, which reduce or abolish HBeAg production, could increase HBV replication. The remove of the HBeAg often lead to a vigorous immune response, which has an important role in HBV related fulminant outcome. In this study, BCP mutations and Pre-C mutations were separately introduced by site-directed mutagenesis in the same genetic background of an HBV infectious clone, to determine the effect of these mutations per se on replication. BCP and Pre-C mutations increased HBV replication both in vitro and in vivo. HBV could persist in mice injected with wild type HBV infectious clone for about 7 weeks. However, HBV could persist about 5 weeks in mice injected with BCP HBV infectious clone, and 3 weeks only in mice injected with Pre-C HBV infectious clone. HBV related CD8+ CTL response in BCP HBV infectious clone injected mice only slightly increased, but significantly increased in Pre-C HBV infectious clone injected mice compared with that in wild type HBV infectious clone injected mice. The population of Tregs significantly increased in liver but not in spleen of mice injected with Pre-C HBV infectious clone. In summary, we demonstrate that HBeAg plays an important role in suppressing the CTL response, which is related with increasing the frequency of Tregs in mouse. Lack of HBeAg expression leads to the partial loss of immune tolerance.

microbiology↗

Omics versus Questionnaires: Using methylation data to assess the environmental impact of smoking on obesity-related traits

Variation in obesity-related traits has a genetic basis with heritabilities between 40 and 70%. While the global obesity pandemic is usually associated with environmental changes related to lifestyle and socioeconomic changes, most genetic studies do not include all relevant environmental covariates, so genetic contribution to variation in obesity-related traits cannot be accurately assessed. Some studies have described interactions between a few individual genes linked to obesity and environmental variables but there is no agreement on their total contribution to differences between individuals. Here we compared self-reported smoking data and a methylation-based proxy to explore the effect of smoking and genome-by-smoking interactions on obesity related traits from a genome-wide perspective to estimate the amount of variance they explain. Our results indicate that exploiting omic measures can improve models for complex traits such as obesity and can be used as a substitute for, or jointly with, environmental records to better understand causes of disease.

genomics↗

Potential Rhodopsin and Bacteriochlorophyll-Based Dual Phototrophy in a High Arctic Glacier

Conserving additional energy from sunlight through bacteriochlorophyll (BChl)-based reaction center or proton-pumping rhodopsin is a highly successful life strategy in environmental bacteria. Rhodopsin and BChl based systems display contrasting characteristics in the size of coding operon, cost of biosynthesis, ease of expression control, and efficiency of energy production. This raises an intriguing question of whether a single bacterium has evolved the ability to perform these two types of phototrophy complementarily according to energy needs and environmental conditions. Here we report four Tardiphaga sp. strains (Alphaproteobacteria) of monophyletic origin isolated from a high Arctic glacier in northeast Greenland (81.566{degrees} N, 16.363{degrees} W) that are at different evolutionary stages concerning phototrophy. Their >99.8% identical genomes contain footprints of horizontal operon transfers (HOT) of the complete gene clusters encoding BChl and xanthorhodopsin (XR)-based dual phototrophy. Two strains only possess a complete xanthorhodopsin (XR) operon, while the other two strains have both a photosynthesis gene cluster (PGC) and an XR operon in their genomes. All XR operons are heavily surrounded by mobile genetic elements and located close to a tRNA gene, strongly signaling that a HOT event of XR operon has occurred recently. Mining public genome databases and our High Arctic glacial and soil metagenomes revealed that phylogenetically diverse bacteria have the metabolic potential of performing BChl and rhodopsin-based dual phototrophy. Our data provide new insights on how bacteria cope with the harsh and energy-deficient environments in surface glaciers, possibly by maximizing the capability of exploiting solar energy. ImportanceOver billions of years of evolution, bacteria capable of light-driven energy production have occupied every corner of surface Earth where solar irradiation can reach. Only two general biological systems have evolved in bacteria to be capable of net energy conservation via light-harvesting: one is based on the pigment of (bacterio-)chlorophyll and the other based on light-sensing retinal molecules. There is emerging genomic evidence that these two rather different systems can co-exist in a single bacterium to take advantage of their contrasting characteristics in the number of genes involved, biosynthesis cost, ease of expression control and efficiency of energy production, and thus enhance the capability of exploiting solar energy. Our data provide the first clear-cut evidence that such dual phototrophy potentially exist in glacial bacteria. Further public genome mining suggests this understudied dual phototrophic mechanism is possibly more common than our data alone suggested. Sequence data availabilityGenomes, metagenomes and raw reads were deposited into GenBank under Bioprojects PRJNA548505 and PRJNA552582.

microbiology↗