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Zhang, Z.

Publications and source records attributed to Zhang, Z..

At least 613 records · Page 34Linked to original sources

Evaluation of scalp-based targeting methods of DLPFC for TMS therapy: EEG cap F3, Beam F3, CPC F3, and adjusted Beam F3

BackgroundRepetitive transcranial magnetic stimulation targeting the left dorsolateral prefrontal cortex (DLPFC) offers a promising approach for treating depression. Scalp-based targeting methods, including EEG Cap, Beam F3, CPC F3, and adjusted Beam F3, have evolved to improve clinical application. ObejectivesTo evaluate and compare the accuracy, reliability, speed, and training efficacy of these four methods. MethodsThree trained technicians conducted repeated DLPFC targeting measurements on 10 3D-printed head models. Accuracy was assessed by calculating targeting error and electric field strength at the subgenual anterior cingulate cortex anti-correlated peak. Reliability was evaluated through inter- and intra-rater variability, and training efficacy was examined by comparing targeting errors between trained technicians and novices. ResultsCPC F3, Beam F3, and adjusted Beam F3 demonstrated comparable accuracy in terms of electric field strength, but CPC F3 had the lowest targeting error (4.2 mm). CPC F3 also exhibited the highest reliability (inter-rater variability at 3.3 mm, intra-rater variability at 2.3 mm). The EEG cap was the fastest method (80 seconds), while CPC F3 was faster than Beam F3 but slower than EEG Cap. No significant differences in targeting error between trained technicians and novices were noted with CPC F3 and adjusted Beam F3. ConclusionThe comparative analysis of four scalp-based targeting methods provides insights that can enhance clinical decision-making and the practical application. While accuracy among CPC F3, Beam F3, and adjusted Beam F3 was comparable, CPC F3 emerges as highly practical due to its significantly better reliability, training efficacy, moderate speed, and straightforward implementation.

neuroscience↗

The Plasmodium falciparum NCR1 membrane protein is a novel antimalarial target that exports cholesterol to maintain membrane homeostasis

Malaria is an extremely devastating parasitic infection that kills over half a million people each year. It is the leading cause of death in many developing countries, in part, due to a lack of resources and readily available therapeutics. Unfortunately, the most prevalent and deadliest causative agent of malaria, Plasmodium falciparum, has developed resistance to nearly all currently available antimalarial drugs. The P. falciparum Niemann-Pick Type C1-related (PfNCR1) transporter has been identified as a druggable target, as it is required for membrane homeostasis of the parasite. However, the structure and detailed molecular mechanism of this membrane protein are not yet available. Here we present three structures of PfNCR1 both in the absence and presence of the functional inhibitor MMV009108 at resolutions between 2.98 [A] and 3.81 [A] using single-particle cryo-electron microscopy (cryo-EM). The data suggest that PfNCR1 binds cholesterol and forms a cholesterol transport tunnel to modulate the composition of the parasite plasma membrane. Cholesterol efflux assays substantiate this as they show that PfNCR1 is an exporter capable of extruding cholesterol from the membrane. Additionally, the inhibition mechanism of MMV009108 appears to be due to a direct blockage of PfNCR1, preventing this transporter from shuttling cholesterol.

biochemistry↗

Knockout of the SfVipR1 gene confers high-level resistance to Bacillus thuringiensis Vip3Aa toxin in Spodoptera frugiperda

BackgroundBacillus thuringiensis (Bt) insecticidal proteins, including Cry proteins and vegetative insecticidal proteins (Vips), are extensively utilized in transgenic crops due to their efficacy and safety. The fall armyworm, Spodoptera frugiperda, has evolved practical resistance to Cry1Fa, yet no practical resistance to Vip3Aa has been documented. However, both laboratory selection and field screen studies indicate a high potential for this pest to evolve resistance to Vip3Aa, making it crucial to evaluate potential resistance genes. HaVipR1 has recently been identified as a key determinant of Vip3Aa resistance in the cotton bollworm, Helicoverpa armigera. This study investigated whether the HaVipR1-homologous gene in S. frugiperda (SfVipR1) is similarly involved in Vip3Aa resistance. ResultsWe employed CRISPR/Cas9 technology to generate a homozygous knockout strain of SfVipR1. In comparison with the parent susceptible YJ-19 strain, the knockout strain (Sfru-KO) exhibited high-level resistance to Vip3Aa (>1875-fold) but showed no resistance to Cry1Fa. This acquired resistance to Vip3Aa is autosomal, recessive, and genetically linked to the deletion mutation in SfVipR1 within the Sfru-KO strain of S. frugiperda. ConclusionDisruption of SfVipR1 results in high-level resistance to Vip3Aa, highlighting SfVipR1 has a critical role in Vip3Aa toxicity in S. frugiperda, despite the exact mechanism remaining unclear. Early detection of SfVipR1 mutant alleles in the field is essential for developing adaptive resistance management strategies against S. frugiperda.

genetics↗

Transcriptional memories mediate the plasticity of sulfide stress responses to enable acclimation in Urechis unicinctus

To cope with environmental stresses, organisms often adopt a memory response upon primary stress exposure to facilitate a quicker and/or stronger reaction to recurring stresses. Somatic stress memory is essential in dealing with contemporary stress. The earliest sign of somatic stress memory is a change in gene transcription levels, which alters physiology and phenotype to better cope with stress. Sulfide is a common environmental pollutant; however, some organisms have successfully colonized sulfur-rich environments. Whether stress memory plays important role in sulfide stress adaptation remains unclear. In this study, to determine whether Urechis unicinctus, a sulfur-tolerant organism, retains the memory of previous sulfide stress, we simulated a repetitive sulfide stress/recovery system. The results showed that the tolerance of U. unicinctus to sulfide stress was significantly increased after priming with 50 {micro}M sulfide. Further, transcriptional memory genes (TMGs) involved in regulating sulfide stress memory were identified, classified according to their expression patterns, and functionally analyzed. TMGs involved in sulfide metabolism, sugar metabolism, and protein homeostasis pathway showed an enhanced response, whereas those related to DNA repair pathway demonstrated a modified response pattern. Our study indicated that U. unicinctus retains memory of sulfide stress priming, which mediates plasticity to accelerate sulfide stress adaptation.

zoology↗

TvAP65 in Trichomonas vaginalis Promotes HPV Infection by Interacting with Host Molecules

Cervical cancer induced by human papillomavirus (HPV) infection poses a serious threat to womens health. Studies have shown that Trichomonas vaginalis (T. vaginalis), which is widely prevalent globally, can facilitate HPV infection. However, the underlying mechanism remains unclear. This study found that T. vaginalis significantly enhanced HPV infection in HaCaT cells and mouse vaginas through in vivo and in vitro experiments, and promoted the expression of HPV membrane receptor molecules CD151 and HSPG2. The HPV infection rate and CD151/HSPG2 expression levels were significantly decreased after reducing the expression of T. vaginalis adhesion protein 65 (TvAP65). In contrast, both HPV infection rates and CD151/HSPG2 expression were significantly increased in HaCaT cells over-expressing TvAP65. When both TvAP65 in T. vaginalis and CD151/HSPG2 in HaCaT cells were knocked down simultaneously, the infection rate of HPV in HaCaT cells was further reduced. These results suggest that TvAP65 promotes HPV infection by up-regulating the expression of CD151 and HSPG2. Furthermore, this study knocked down the 12 interacting molecules of TvAP65 in HaCaT cells one by one, and found that the HPV infection rate was significantly reduced after T. vaginalis infected HaCaT cells with low expression of FTH1, SPCS1, ATP5MC3, ITGB7, PMEPA1 or REEP5. Among them, SPCS1 played the most significant role. Simultaneous knockdown of TvAP65 and SPCS1 further significantly down-regulated the infection rate of HPV in HaCaT cells. Moreover, this molecule also down-regulated the promoting effect of T. vaginalis on HSPG2/CD151 expression. These results imply that SPCS1 plays an important role in T. vaginalis promoting HSPG2/CD151 expression and HPV infection. This study not only further proved that T. vaginalis can promote HPV infection but also explores the molecular mechanism by which TvAP65, through its interaction with SPCS1, up-regulates the expression of HSPG2 and CD151, thereby facilitating HPV infection. This provides a theoretical basis for clarifying the mechanism of co-infection between T. vaginalis and HPV.

microbiology↗

An Atlas of Linkage Disequilibrium Across Species

Linkage disequilibrium (LD) is a key metric that characterizes populations in flux. To reach a genomic scale LD illustration, which has a substantial computational cost of[O] (nm2), we introduce a framework with two novel algorithms for LD estimation: X-LD, with a time complexity of[O] (n2m) suitable for small sample sizes (n < 104); X-LDR, a stochastic algorithm with a time complexity of[O] (nmB) for biobank-scale data (B iterations); n the sample size, and m the number of SNPs. These methods can refine the entire genome into high-resolution LD grids, such as more than 9 million grids for UK Biobank samples ([~]4.2 million SNPs). The efficient resolution for genome-wide LD leads to intriguing biological discoveries. I) High-resolution LD illustrations revealed how the pericentromeric regions and the HLA region lead to intense and extended LD patterns. II) Two universal LD patterns, identified as Norm I and Norm II patterns, provide insights on the evolutionary history of populations and can also highlight genomic regions of deviation, such as chromosomes 6 and 11 or ncRNA regions. III) The results of our innovative LD decay method aligned with the LD decay scores of 59.5 for Europeans, 60.2 for East Asians, and 33.2 for Africans; correspondingly, the length of the LD was approximately 2.85 Mb, 2.18 Mb, and 1.58 Mb for these three ethnicities. Rare or imputed variants universally increased LD. IV) An unprecedented LD atlas for 25 reference populations contoured interspecies diversity in terms of their Norm I and Norm II LD patterns, highlighting the impact of refined population structure, quality of reference genomes, and uncovered a profound status quo of these populations. The algorithms have been implemented in C++ and are freely available (https://github.com/gc5k/gear2).

genetics↗

Analytical and computational solution for the estimation of SNP-heritability in biobank-scale and distributed datasets

Estimation of heritability has been a routine in statistical genetics, in particular with the increasing sample size such as biobank-scale data and distributed datasets, the latter of which has increasing concerns of privacy. Recently a randomized Haseman-Elston regression (RHE-reg) has been proposed to estimate SNP-heritability, and given sufficient iteration (B) RHE-reg can tackle biobank-scale data, such as UK Biobank (UKB), very efficiently. In this study, we present an analytical solution that balances iteration B and RHE-reg estimation, which resolves the convergence of the proposed RHE-reg in high precision. We applied the method for 81 UKB quantitative traits and estimated their SNP-heritability and test statistics precisely. Furthermore, we extended RHE-reg into distributed datasets and demonstrated their utility in real data application and simulated data. The software for estimating SNP-heritability for biobank-scale data is released: https://github.com/gc5k/gear2.

genetics↗

Multi-generational biotic stress increases the rate of spontaneous epimutations in a ROS1-dependent manner

Mistakes in the maintenance of CG methylation are a source of spontaneous epimutations in plants that can be inherited across generations. The extent to which these stochastic events are affected by prolonged exposure to biotic and abiotic stress remains poorly characterized. Here, we grew Arabidopsis Mutation Accumulation (MA) lines for 12 generations in the presence of two biotic stressors: Pseudomonas syringae (Pst) and salicylic acid (SA). We found that multi-generational exposure to Pst and SA led to an 18%-32% and 23%-61% increase in the genome-wide epimutation rate, respectively. These rate increases were mainly targeted to subsets of genes characterized by low steady-state methylation (LM), on average, and a lack of transcriptional responsiveness to stress. We show that these effects are mediated by the DNA demethylase Repressor of Silencing 1 (ROS1). Loss of ROS1 not only buffers transcriptional responses to biotic stress, but also stabilizes epimutation rates, particularly in LM genes, rendering them insensitive to environmental perturbations. Taken together, our data demonstrates that stress can induce heritable epimutations and highlights a ROS1-mediated link between transcriptional plasticity and DNA methylation maintenance fidelity over generations.

evolutionary biology↗

Mitigating Cellular Dysfunction by Addressing Contaminants in Synthetic circRNA

Synthetic circular RNA (circRNA) shows great potential in biomedical research and therapies, but impurities introduced during its synthesis can undermine circRNA efficacy. This study investigated the immunogenic potential of byproducts generated during its production. We found that trace amounts of double-stranded RNA in high molecular weight impurities, 5 triphosphates of uncircularized RNA or small intron fragments, and hydrolyzed RNA fragments significantly impact the functionality of circRNA by activating innate immune responses through the sensory molecules involved in RNA sensing. To address this, we developed a novel multi-step purification process that employs enzymatic treatments and cellulose-based filtration to selectively remove these detrimental contaminants. This tailored approach minimizes cellular immune reactions and substantially improves circRNA yields with up to more than 10 times increase. Our findings underscore the critical impact of precise contaminant management in enhancing the expression and potential therapeutic utility of circRNA. This suggests a new direction for optimizing their production for both research and clinical applications.

bioengineering↗

Distinct duration and diet dependent lipid profiles and renal complicationsin GCK-MODY

Heterozygous inactivating mutations in the glucokinase (GCK) gene cause one of the most common types of maturity-onset diabetes of the young type 2 (MODY2), also named GCK-MODY. Studies suggest that, unlike other types of diabetes, patients with GCK-MODY do not have increased risk of diabetic complications and therefore do not typically require antihyperglycemic therapy. However, long-term outcomes of GCK-MODY on lipid profiles and chronic complications under different dietary scenarios remain unclear. Herein, using a knock-in mouse model expressing a novel MODY causing mutation GCK-Q26L (GCKMut), we examined age- and diet-related lipid profiles and diabetic complications. We found that, although GCKMut mice exhibited mild elevated blood glucose, the lipid profiles, body fat composition, and diabetic kidney disease (DKD) were initially improved in high-fat-diet (HFD) fed mice at the age of 28 weeks, supporting potential beneficial effects of GCKMut on lipid metabolism and kidney health. Unexpectedly however, those protective effects diminished by 40 weeks, and became more severe dyslipidemia and kidney injury associated with renal fibrosis and inflammation at 60-week-old mice fed with normal diet (ND) or HFD. Those findings revealed distinct duration- and diet-dependent effects of inactivating GCK mutation on lipid profiles and DKD, highlighting previously unrealized long-term chronic complications in GCK-MODY.

physiology↗

Involvement of 5' and 3' UTRs on SARS-CoV-2 Genome Packaging

The SARS-CoV-2 virus, responsible for the COVID-19 pandemic, packages its large single-stranded RNA genome through a precise yet enigmatic mechanism. A packaging signal (PS) within its genome was proposed to facilitate the assembly of new viral particles. Here in this study, we report the role of the 5 and 3 untranslated regions (UTRs) in PS-mediated genome packaging. Utilizing proximity ligation data, we demonstrate direct interactions between the UTRs and the PS9 element, a key packaging signal within the SARS-CoV-2 genome. Multiple evidence confirmed that the presence of UTRs enhance the packaging efficiency of infectious virus-like particles (iVLPs) and recruits more nucleocapsid (N) protein, suggesting a critical role in genome compaction and packaging. These insights into the regulatory mechanisms of SARS-CoV-2 genome packaging provide novel targets for antiviral therapeutics and contribute to the broader understanding of coronavirus assembly.

microbiology↗

Global remodeling of ADP-ribosylation by PARP1 suppresses influenza A virus infection

ADP-ribosylation is a highly dynamic and fully reversible post-translational modification performed by poly(ADP-ribose) polymerases (PARPs) that modulates protein function, abundance, localization and turnover. Here we show that influenza A virus infection causes a rapid and dramatic upregulation of global ADP-ribosylation that inhibits viral replication. Mass spectrometry defined for the first time the global ADP-ribosylome during infection, creating an infection-specific profile with almost 4,300 modification sites on [~]1,080 host proteins, as well as over 100 modification sites on viral proteins. Our data indicate that the global increase likely reflects a change in the form of ADP-ribosylation rather than modification of new targets. Functional assays demonstrated that modification of the viral replication machinery antagonizes its activity and further revealed that the anti-viral activity of PARPs and ADP-ribosylation is counteracted by the influenza A virus protein NS1, assigning a new activity to the primary viral antagonist of innate immunity. We identified PARP1 as the enzyme producing the majority of poly(ADP-ribose) present during infection. Influenza A virus replicated faster in cells lacking PARP1, linking PARP1 and ADP-ribosylation to the anti-viral phenotype. Together, these data establish ADP-ribosylation as an anti-viral innate immune-like response to viral infection antagonized by a previously unknown activity of NS1.

microbiology↗

A single ancestral ANP32 locus in ticks creates multiple protein variants that all support the Thogoto virus polymerase

Viral polymerases rely on cellular cofactors to support efficient transcription of viral genes and replication of the viral genome. The RNA-dependent RNA polymerase of influenza virus, an orthomyxovirus, requires cellular ANP32A or ANP32B proteins for genome replication. However, little is known about whether ANP32 proteins are required by other orthomyxoviruses like the tick-borne thogotoviruses. Recent structural studies coupled with functional assays suggested that the Thogoto virus polymerase uses both ANP32A and ANP32B from brown dog ticks. We clarify here that this tick vector encodes a single ANP32 locus corresponding to ANP32A. This single gene produces multiple protein variants through alternative splicing and start-site selection, all of which enhance Thogoto virus polymerase. Thogoto virus polymerase activity is also enhanced by human and chicken ANP32 proteins. Thus, ANP32A is a deeply conserved pro-viral cofactor and Thogoto virus shows remarkable plasticity utilizing ANP32 homologues separated by almost 1 billion years of evolution.

microbiology↗

Tumorigencity decrease in Bcl-xL deficient MDCK cells ensuring the safety for influenza vaccine production

Madin-Darby canine kidney (MDCK) cells are the recognized cell strain for influenza vaccine production. However, the tumorigenic potential of MDCK cells raises concerns about their use in biological product manufacturing. To reduce MDCK cells tumorigenicity and ensure the safety of influenza vaccine production, a B-cell lymphoma extra-large (Bcl-xL) gene, which plays a pivotal role in apoptosis regulation, was knocked-out in original MDCK cells by CRISPR-Cas9 gene editing technology, so that a homozygous MDCK-Bcl-xL-/- cell strain was acquired and named as BY-02. Compared with original MDCK cells, the proliferation and migration ability of BY-02 were significantly reduced, while apoptosis level was significantly increased, the endogenous mitochondrial apoptotic pathway were also modulated after Bcl-xL knock-out in MDCK cells. For tumor formation assays in nude mouse tests, all ten mice injected with original MDCK cells presented tumors growth in the injection site, in contrast to only one mouse injected with BY-02 cells presented tumors growth. These findings suggest that Bcl-xL knock-down is an effective strategy to inhibit tumor formation in MDCK cells, making BY-02 a promising genetically engineered cell strain for influenza vaccine production.

cell biology↗

Towards genuine three-dimensional diffusion imaging with physiological motion compensation

PurposeWe aim to implement a 3D DWI sequence and show its usage on patients with new ischemic lesions. Materials and MethodsThe proposed 3D DWI sequence was implemented by integrating second-order gradient moment nulling (M2) and cardiac motion synchronization (Sync). All data were acquired on a 3T MAGNETOM Prisma scanner (Siemens Healthcare, Erlangen, Germany) using a 64 channel head and neck coil. 21 healthy volunteers underwent 3D DWI scans at 0.9 mm isotropic resolution using four motion compensation methods for comparison: no compensation (M0), M2 only, Sync only and the proposed M2+Sync method. 2D phase variation maps with different motion compensation methods were also acquired for one subject to illustrate the mechanism of the proposed method. A ghost-to-signal ratio (GSR) and blurring index was defined and compared among the four methods with repeated measures ANOVA and Tukeys test. 3D DWI was compared with 2D DWI for ADC quantification. Image quality and ischemic lesion conspicuity were evaluated with 12 patients after endovascular treatment. >ResultsWhole brain 3D DWI was achieved at 0.9 mm isotropic resolution within 5 minutes using the proposed sequence. M2+Sync achieved the lowest level of GSR and blurring along the slice direction. ADC quantification showed no statistically significant difference between M2+Sync compared to 2D DWI. 3D DWI showed similar image quality, higher lesion conspicuity and counts compared to 2D DWI. ConclusionDirect 3D DWI can be achieved by the combination of second order gradient moment nulling and cardiac synchronization.

bioengineering↗

Dynamic imaging of myelin pathology in physiologically preserved human brain tissue using third harmonic generation microscopy

Myelin pathology is known to play a central role in disorders such as multiple sclerosis (MS) among others. Despite this, the pathological mechanisms underlying these conditions are often difficult to unravel. Conventional techniques like immunohistochemistry or dye-based approaches, do not provide a temporal characterization of the pathophysiological aberrations responsible for myelin changes in human specimens. Here, to circumvent this curb, we present a label-free, live-cell imaging approach of myelin using recent advancements in nonlinear harmonic generation microscopy applied to physiologically viable human brain tissue from post-mortem donors. Gray and white matter brain tissue from epilepsy surgery and post-mortem donors was excised. To sustain viability of the specimens for several hours, they were subjected to either acute or organotypic slice culture protocols in artificial cerebral spinal fluid. Imaging was performed using a femtosecond pulsed 1060 nm laser to generate second harmonic generation (SHG) and third harmonic generation (THG) signals directly from myelin and axon-like structures without the need to add any labels. Experiments on acute human brain slices and post-mortem human slice cultures reveal that myelin, along with lipid bodies, are the prime sources of THG signal. We show that tissue viability is maintained over extended periods during THG microscopy, and that prolonged THG imaging is able to detect experimentally induced subtle alterations in myelin morphology. Finally, we provide practical evidence that live-cell imaging of myelin with THG microscopy is a sensitive tool to investigate subtle changes in white matter of neurological donors. Overall, our findings support that nonlinear live-cell imaging is a suitable setup for researching myelin morphology in neurological conditions like MS.

neuroscience↗

The African Swine Fever Virus gene MGF_360-4L inhibits interferon signaling by recruiting mitochondrial selective autophagy receptor SQSTM1 degrading MDA5 antagonizing innate immune responses

Multigene family (MGF) 360 genes, which are African swine fever virus (ASFV) virulence genes, primarily target key host immune molecules to suppress host interferon (IFN) production and interferon-stimulated gene (ISG) transcription, impairing host innate immune responses for efficient viral replication. However, the interactions between MGF 360 virulence genes and host molecules, as well as the mechanisms through which MGF 360 genes regulate host immune responses and interferon signaling, require further elucidation. In this study, we discovered that ASFV MGF_360-4L interacts with MDA5 and recruits the mitochondrial selective autophagy receptor SQSTM1 to degrade MDA5, thus impairing interferon signaling and compromising host innate immune responses. Furthermore, MGF_360-4L inhibits the interaction between MDA5 and MAVS, blocking ISG15-mediated ISGylation of MDA5. MGF_360-4L deficiency significantly attenuated virus-induced mitochondrial autophagy in vitro. Additionally, OAS1 ubiquitinates MGF_360-4L at residues K290, K295 and K327. Finally, a recombinant ASFV lacking the MGF_360-4L gene (ASFV-{Delta}MGF_360-4L) was generated using ASFV-CN/SC/2019 as the backbone, which demonstrated that the replication kinetics of ASFV-{Delta}MGF_360-4L in PAM cells were like those of the highly virulent parental ASFV-WT in vitro. Domestic pigs infected with ASFV-{Delta}MGF_360-4L exhibited milder symptoms than those infected with parental ASFV-WT, and ASFV-{Delta}MGF_360-4L-infected pigs presented with enhanced host innate antiviral immune response, confirming that the deletion of the MGF_360-4L gene from the ASFV genome highly attenuated virulence in pigs and provided effective protection against parental ASFV challenge. In conclusion, we identified a novel ASFV virulence gene, MGF_360-4L, further elucidating ASFV infection mechanisms and providing a new candidate for vaccine development. IMPORTANCEAfrican swine fever virus (ASFV) infection causes acute death in pigs, and there is currently no effective vaccine available for prevention. Multigene family (MGF) virulence genes have been shown to be crucial for ASFV ability to evade host innate immune responses. However, the functions of most MGF genes remain unknown, which poses significant challenges for the development of ASFV vaccines and antiviral drugs. In this study, we identified a virulence gene of ASFV, MGF_360-4L, that targets and recruits the selective autophagy receptor p62 to mediate the degradation of the dsRNA sensor MDA5, thereby blocking interferon signaling. Additionally, it inhibits the ISG15-mediated ISGylation activation of MDA5. ASFV lacking MGF_360-4L showed reduced virulence and provided protection in pigs. Our data identify a novel virulence gene and provide new insights for ASFV vaccine development.

microbiology↗

A statistical-based method for the construction and analysis of gene network:application to bacteria

Bacteria play a crucial role in environmental conservation, human health, and medicine. Whether in the gut or the soil, bacterial genomes are rich repositories of resources, such as exploring potential drugs and biopesticides. However, our ability to develop new therapies and deepen our understanding of the bacterial world is hindered by the largely unknown functions of bacterial genes. In this study, we proposed a method of gene network construction and analysis based on a Gaussian Graphical Model (GGM) and random sampling strategy to infer direct interactions at the genomic level in bacteria. Using Vibrio cholerae and Staphylococcus aureus as examples, we integrated partial correlation-based gene co-expression data with gene regulatory and essentiality information extracted from public databases to construct more comprehensive gene networks. Networks built upon bacterial different phenotypes, such as biofilm formation, flagellar assembly, and stress response, demonstrate the effectiveness of this method in deciphering unknown gene functions, uncovering new phenotype-associated factors, and identifying their corresponding interactions, thus providing new targets for experimental validation by researchers. Additionally, we extended this method to 14 bacteria, including 13 pathogens, supporting the investigation of gene functions and pathways at the genomic level in these bacteria. More importantly, for other species, this method of gene network construction can be easily implemented, provided that sufficient transcriptome sequencing samples are available.

systems biology↗