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The mosquito family Culicidae is divided into two subfamilies named the Culicinae and Anophelinae.Nix, the dominant male-determining factor, has only been found in the culicinesAedes aegyptiandAe. albopictus, two important arboviral vectors that belong to the subgenus Stegomyia. Here we performed sex-specific whole-genome sequencing and RNAseq of divergent mosquito species and explored additional male-inclusive datasets to investigate the distribution ofNix. Except for the Culex genus,Nixhomologs were found in all species surveyed from the Culicinae subfamily, including 12 additional species from three highly divergent tribes comprising 4 genera, suggestingNixoriginated at least 133-165 MYA. Heterologous expression of one of three divergentNixORFs inAe. aegyptiresulted in partial masculinization of genetic females as evidenced by morphology anddoublesexsplicing. It is not clear whether insufficient transgene expression or sequence divergence or both are responsible for the lack of phenotype for the other two. Phylogenetic analysis suggestsNixis related tofemaleless(fle), a recently described intermediate sex-determining factor found exclusively in anopheline mosquitoes.Nixfrom all species has a conserved structure, including three RNA-recognition motifs (RRMs), as doesfle. However,Nixhas evolved at a much faster rate thanfle. The RRM3 of bothNixandfleare related to the single RRM of a widely distributed and conserved splicing factortransformer-2(tra2). RRM3-based phylogenetic analysis suggests this domain inNixandflemay have evolved fromtra2in a common ancestor of mosquitoes. Our results provide insights into the evolution of sex-determination and sex chromosomes in mosquitoes, and will inform broad applications of mosquito-control strategies based on manipulating sex ratios towards the non-biting males.

Aedes aegypti is a major vector of arboviruses that cause dengue, chikungunya, yellow fever, and Zika. Although recent success in reverse genetics has facilitated rapid progress in basic and applied research, integration of forward genetics with modern technologies remains challenging in this important species, as up to 47% of its chromosome is refractory to genetic mapping due to extremely low rate of recombination. Here, we report the development of a marker-assisted mapping strategy to readily screen for and genotype only the rare but informative recombinants, drastically increasing both the resolution and signal-to-noise ratio. Using marker-assisted mapping, we mapped a transgene that was inserted in a >100-Mb recombination desert and a sex-linked spontaneous red-eye (re) mutation just outside the region. We subsequently determined, by CRISPR/Cas9-mediated knockout, that cardinal is the causal gene of re, which is the first forward genetic identification of a causal gene in Ae. aegypti. The identification of the causal gene of the sex-linked re mutation provides the molecular foundation for using gene editing to develop versatile and stable genetic sexing methods. To facilitate genome-wide forward genetics in Ae. aegypti, we generated and compiled a number of lines with markers throughout the genome. Thus, by overcoming the challenges presented by the vast recombination deserts and the scarcity of markers, we have shown that effective forward genetic analysis is increasingly feasible in this important arboviral vector species.

Chromosome level assemblies are accumulating in various taxonomic groups including mosquitoes. However, even in the few reference-quality mosquito assemblies, a significant portion of the heterochromatic regions including telomeres remain unresolved. Here we produce a de novo assembly of the New World malaria mosquito, Anopheles albimanus by integrating Oxford Nanopore sequencing, Illumina, Hi-C and optical mapping. This 172.6 Mbps female assembly, which we call AalbS3, is obtained by scaffolding polished large contigs (contig N50=13.7 Mbps) into three chromosomes. All chromosome arms end with telomeric repeats, which is the first in mosquito assemblies and represents a significant step towards the completion of a genome assembly. These telomeres consist of tandem repeats of a novel 30-32 bp telomeric repeat unit (TRU) and are confirmed by analysing the termini of long reads and through both chromosomal in situ hybridization and a Bal31 sensitivity assay. The AalbS3 assembly included previously uncharacterized centromeric and rDNA clusters and more than doubled the content of transposable elements and other repetitive sequences. This telomere-to-telomere assembly, although still containing gaps, represents a significant step towards resolving biologically important but previously hidden genomic components. The comparison of different scaffolding methods will also inform future efforts to obtain reference-quality genomes for other mosquito species.100-word Article SummaryWe report AalbS3, a telomere-to-telomere assembly of the Anopheles albimanus genome produced by integrating advancing technologies including Oxford Nanopore and Bionano optical mapping. AalbS3 features much of the difficult-to-assemble genomic ‘dark matters’ including previously missed transposons, centromeres and rDNA clusters. We describe novel telomeric repeats that are confirmed by analysis of long reads and by telomere hybridization assays. This reference-quality assembly represents a significant step towards completing the genomic puzzle pieces and informs efforts to improve the assembly of other mosquito species. Future research into the relationship between telomere and mosquito life span may have significant implications to disease control.

Immunodeficiency, centromeric instability and facial anomalies syndrome (ICF) is a rare autosomal recessive disorder, which is characteristic of a severe impairment of immunity. In the genetic aspect, ICF is featured with mutations primarily located in the specific genes (

Aedes aegypti is a major vector of arboviruses that cause dengue, chikungunya, yellow fever and Zika. Although recent success in reverse genetics has facilitated rapid progress in basic and applied research, integration of forward genetics with modern technologies remains challenging in this important species, as up-to-47% of its chromosome is refractory to genetic mapping due to extremely low rate of recombination. Here we report the development of a marker-assisted-mapping (MAM) strategy to readily screen for and genotype only the rare but informative recombinants, drastically increasing both the resolution and signal-to-noise ratio. Using MAM, we mapped a transgene that was inserted in a >100 Mb recombination desert and a sex-linked spontaneous red-eye (re) mutation just outside the region. We subsequently determined, by CRISPR/Cas9-mediated knockout, that cardinal is the causal gene of re, which is the first forward genetic identification of a causal gene in Ae. aegypti. This study provides the molecular foundation for using gene-editing to develop versatile and stable genetic sexing methods by improving upon the current re-based genetic sexing strains. MAM does not require densely populated markers and can be readily applied throughout the genome to facilitate the mapping of genes responsible for insecticide- and viral-resistance. By enabling effective forward genetic analysis, MAM bridges a significant gap in establishing Ae. aegypti as a model system for research in vector biology. As large regions of suppressed recombination are also common in other plant and animal species including those of economic significance, MAM will have broad applications beyond vector biology.

Background Ovarian cancer (OC) is one of the most common malignant gynecological tumors, but its pathogenesis is unclear. Bromine domain protein 4 (BRD4) is involved in the malignant transformation of cells, as well as the invasion and metastasis of tumor cells. The biological role of BRD4 in ovarian cancer is yet to be determined. Methods The differential expression of BRD4 in OC and corresponding normal tissues was evaluated by exploring the Tumor Immune Assessment Resources (TIMER) and the Oncomine database. The correlation between the expression level of BRD4 and the prognosis of OC patients was evaluated using the Kaplan-Meier Plotter database. Using TIMER, we further studied the correlation between BRD4 and tumor immune cell infiltration. Results The expression of BRD4 was significantly higher in patients with OC, and high BRD4 expression was closely related to low overall survival rate. The BRD4 expression was associated with the levels of immune markers of macrophages, dendritic cells, neutrophils, and various effector T cells. Taken together, these findings show that BRD4 expression is significantly related to immune infiltration in OC and suggest that BRD4 might play an important role in the immune evasion of OC cells. Conclusion The expression level of BRD4 in OC tissues is significantly upregulated, and its high expression is significantly associated with poor prognosis of patients and is closely related to tumor immune infiltration. These results suggest that BRD4 can be used as a prognostic marker and a marker of immune infiltration in OC.

BackgroundAnopheles coluzzii and An. arabiensis belong to the An. gambiae complex and are among the major malaria vectors in Sub-Saharan Africa. However, chromosome-level reference genome assemblies are still lacking for these medically important mosquito species.FindingsIn this study, we produced de novo chromosome-level genome assemblies for An. coluzzii and An. arabiensis using the long-read Oxford Nanopore sequencing technology and the Hi-C scaffolding approach. We obtained 273.4 Mbp and 256.8 Mbp of the total assemblies for An. coluzzii and An. arabiensis, respectively. Each assembly consists of three chromosome-scale scaffolds (X, 2, 3), complete mitochondrion, and unordered contigs identified as autosomal pericentromeric DNA, X pericentromeric DNA, and Y sequences. Comparison of these assemblies with the existing assemblies for these species demonstrated that we obtained improved reference-quality genomes. The new assemblies allowed us to identify genomiccoordinates for the breakpoint regions of fixed and polymorphic chromosomal inversions in An. coluzzii and An. arabiensis.ConclusionThe new chromosome-level assemblies will facilitate functional and population genomic studies in An. coluzzii and An. arabiensis. The presented assembly pipeline will accelerate progress toward creating high-quality genome references for other disease vectors.

OBJECTIVE: To analyze the relationship between CDKN2A and CDKN2B gene methylation with aging in the general population. METHODS: We collected peripheral blood samples from 284 male and 246 female healthy subjects for detection of methylation levels of CDKN2A and CDKN2B genes using quantitative methylation-specific PCR (qMSP). The relationship between the methylation levels of CDKN2A and CDKN2B genes and aging was analyzed using Spearman or Pearson correlation test. RESULTS: We found a significant positive correlation between the methylation levels of the two genes in these subjects (P < 0.05). In the overall population as well in the female subjects, CDKN2A methylation was found to be inversely correlated with age (P < 0.05). The methylation levels of CDKN2A and CDKN2B genes were inversely correlated with TG, ApoE, Lp(a) and AST in the overall population (P < 0.05). In both the female and male subjects, the methylation levels of the two genes were inversely correlated with Lp(a) (P < 0.05). In the male subjects, CDKN2A methylation was inversely correlated with AST (P < 0.05), while CDKN2B methylation was inversely correlated with HDL and ApoE (P < 0.05). In the female subjects, CDKN2A methylation was positively correlated with LDL and inversely correlated with ApoE and AST (P < 0.05). CONCLUSION: The methylation levels of CDKN2A and CDKN2B are closely related to age and the levels of multiple proteins in healthy subjects.

Abnormal methylation of the TNFRSF10C and TNFRSF10D genes has been observed in numerous types of cancer; however, no studies have investigated the methylation of these genes in non-small cell lung cancer (NSCLC). The aim of the present study was to investigate the association between TNFRSF10C and TNFRSF10D methylation and NSCLC. Methylation levels of 44 pairs of NSCLC tumor tissues and distant non-tumor tissues were analyzed using quantitative methylation specific PCR and methylation reference percentage values (PMR). The methylation levels of the TNFRSF10C gene in NSCLC tumor tissue samples were significantly higher compared with those in the distant non-tumor tissues (median PMR, 2.73% vs. 0.75%; P=0.013). Subgroup analysis demonstrated that the methylation levels of TNFRSF10C in tumor tissues from male patients were significantly higher compared with those in distant non-tumor tissues (median PMR, 2.73% vs. 0.75%; P=0.041). The levels of TNFRSF10C methylation were also higher in the tumor tissues of patients who were non-smokers compared with their distant non-tumor tissues (median PMR, 2.50% vs. 0.63%; P=0.013). TNFRSF10C methylation levels were higher in the tumor tissues from male patients compared with those from female patients (median PMR, 2.50% vs. 0.63%; P=0.031). However, no significant differences in the methylation levels of the TNFRSF10D gene were observed between the sexes. Using the cBioPortal and The Cancer Genome Atlas lung cancer data, it was demonstrated that TNFRSF10C methylation levels were inversely correlated with TNFRSF10C mRNA expression levels (r=-0.379; P=0.008). In addition, demethylation of lung cancer cell lines A549 and NCI-H1299 using 5'-aza-deoxycytidine further confirmed that TNFRSF10C hypomethylation was associated with significant upregulation of TNFRSF10C mRNA expression levels [A549 fold-change (FC)=8; P=1.0×10-4; NCI-H1299 FC=3.163; P=1.143×10-5]. A dual luciferase reporter gene assay was also performed with the insert of TNFRSF10C promoter region, and the results revealed that the TNFRSF10C gene fragment significantly enhanced the transcriptional activity of the reporter gene compared with that in the control group (FC=1.570; P=0.032). Overall, the results of the present study demonstrated that hypermethylation of TNFRSF10C was associated with NSCLC.

Glutathione peroxidase 3 (GPX3) has an important function of scavenging hydrogen peroxide and preventing cancer. The purpose of this meta-analysis was to analyze the relationship between GPX3 gene methylation and cancer and to further evaluate its diagnostic value for cancer. We screened eligible literatures from the PubMed, Embase, CNKI and Wanfang databases. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were used to measure the association of GPX3 methylation with cancer. Summary receiver operating characteristics (SROC) analysis was used to assess the diagnostic value of GPX3 methylation for cancer. A total of 17 eligible articles were included in the meta-analysis involving a total of 960 tumor samples and 445 non-tumor samples. The results showed that GPX3 hypermethylation was significantly associated with cancer (OR = 17.32, 95% CI = 8.22-36.51, P 0.00001). Compared with cancer patients without lymph node metastasis, cancer patients with lymph node metastasis were more associated with GPX3 hypermethylation (OR = 2.97, 95% CI = 1.53-5.76, P = 0.001). SROC analysis showed for GPX3 methylation was a promising biomarker for cancer risk (AUC = 0.89, pooled sensitivity = 0.93, pooled specificity = 0.54, NLR = 0.15, PLR = 2.05, DOR = 17.32). TCGA database bioinformatics analysis of 696 pairs of tumor and non-tumor tissues further validate the association of GPX3 methylation with the risk of cancer [cg21504918: 0.10 (0.08, 0.15) vs. 0.09 (0.08, 0.11), P = 5.8E-28; cg26638444: 0.05 (0.04, 011) vs. 0.04 (0.03, 0.06), P = 8.7E-29]. In summary, our study indicates that GPX3 methylation is associated with cancer and has the potential to become a broad-spectrum tumor screening marker and has a value in predicting tumor lymph node metastasis.

DNA methylation plays a significant role in transcriptional regulation by repressing activity. Change of the DNA methylation level is an important factor affecting the expression of target genes and downstream phenotypes. Because current experimental technologies can only assay a small proportion of CpG sites in the human genome, it is urgent to develop reliable computational models for predicting genome-wide DNA methylation. Here, we proposed a novel algorithm that accurately extracted sequence complexity features (seven features) and developed a support-vector-machine-based prediction model with integration of the reported DNA composition features (trinucleotide frequency and GC content, 65 features) by utilizing the methylation profiles of embryonic stem cells in human. The prediction results from 22 human chromosomes with size-varied windows showed that the 600-bp window achieved the best average accuracy of 94.7%. Moreover, comparisons with two existing methods further showed the superiority of our model, and cross-species predictions on mouse data also demonstrated that our model has certain generalization ability. Finally, a statistical test of the experimental data and the predicted data on functional regions annotated by ChromHMM found that six out of 10 regions were consistent, which implies reliable prediction of unassayed CpG sites. Accordingly, we believe that our novel model will be useful and reliable in predicting DNA methylation.