Power generation from ambient humidity using protein nanowires.

Harvesting energy from the environment offers the promise of clean power for self-sustained systems1,2. Known technologies-such as solar cells, thermoelectric devices and mechanical generators-have specific environmental requirements that restrict where they can be deployed and limit their potential for continuous energy production3-5. The ubiquity of atmospheric moisture offers an alternative. However, existing moisture-based energy-harvesting technologies can produce only intermittent, brief (shorter than 50 seconds) bursts of power in the ambient environment, owing to the lack of a sustained conversion mechanism6-12. Here we show that thin-film devices made from nanometre-scale protein wires harvested from the microbe Geobacter sulfurreducens can generate continuous electric power in the ambient environment. The devices produce a sustained voltage of around 0.5 volts across a 7-micrometre-thick film, with a current density of around 17 microamperes per square centimetre. We find the driving force behind this energy generation to be a self-maintained moisture gradient that forms within the film when the film is exposed to the humidity that is naturally present in air. Connecting several devices linearly scales up the voltage and current to power electronics. Our results demonstrate the feasibility of a continuous energy-harvesting strategy that is less restricted by location or environmental conditions than other sustainable approaches.

The MOV10 RNA helicase is a dosage-dependent host restriction factor for LINE1 retrotransposition in mice.

Transposable elements constitute nearly half of the mammalian genome and play important roles in genome evolution. While a multitude of both transcriptional and post-transcriptional mechanisms exist to silence transposable elements, control of transposition in vivo remains poorly understood. MOV10, an RNA helicase, is an inhibitor of mobilization of retrotransposons and retroviruses in cell culture assays. Here we report that MOV10 restricts LINE1 retrotransposition in mice. Although MOV10 is broadly expressed, its loss causes only incomplete penetrance of embryonic lethality, and the surviving MOV10-deficient mice are healthy and fertile. Biochemically, MOV10 forms a complex with UPF1, a key component of the nonsense-mediated mRNA decay pathway, and primarily binds to the 3' UTR of somatically expressed transcripts in testis. Consequently, loss of MOV10 results in an altered transcriptome in testis. Analyses using a LINE1 reporter transgene reveal that loss of MOV10 leads to increased LINE1 retrotransposition in somatic and reproductive tissues from both embryos and adult mice. Moreover, the degree of LINE1 retrotransposition inhibition is dependent on the Mov10 gene dosage. Furthermore, MOV10 deficiency reduces reproductive fitness over successive generations. Our findings demonstrate that MOV10 attenuates LINE1 retrotransposition in a dosage-dependent manner in mice.

Predicting metabolite-disease associations based on auto-encoder and non-negative matrix factorization.

Metabolism refers to a series of orderly chemical reactions used to maintain life activities in organisms. In healthy individuals, metabolism remains within a normal range. However, specific diseases can lead to abnormalities in the levels of certain metabolites, causing them to either increase or decrease. Detecting these deviations in metabolite levels can aid in diagnosing a disease. Traditional biological experiments often rely on a lot of manpower to do repeated experiments, which is time consuming and labor intensive. To address this issue, we develop a deep learning model based on the auto-encoder and non-negative matrix factorization named as MDA-AENMF to predict the potential associations between metabolites and diseases. We integrate a variety of similarity networks and then acquire the characteristics of both metabolites and diseases through three specific modules. First, we get the disease characteristics from the five-layer auto-encoder module. Later, in the non-negative matrix factorization module, we extract both the metabolite and disease characteristics. Furthermore, the graph attention auto-encoder module helps us obtain metabolite characteristics. After obtaining the features from three modules, these characteristics are merged into a single, comprehensive feature vector for each metabolite-disease pair. Finally, we send the corresponding feature vector and label to the multi-layer perceptron for training. The experiment demonstrates our area under the receiver operating characteristic curve of 0.975 and area under the precision-recall curve of 0.973 in 5-fold cross-validation, which are superior to those of existing state-of-the-art predictive methods. Through case studies, most of the new associations obtained by MDA-AENMF have been verified, further highlighting the reliability of MDA-AENMF in predicting the potential relationships between metabolites and diseases.

Analysis of perinatal outcomes for emergency cervical cerclage in singleton pregnancies at 24-28 weeks of gestation.

BACKGROUND: Cervical cerclage is the only effective treatment for cervical insufficiency, effectively preventing late miscarriage and preterm birth. The effectiveness and safety of emergency cervical cerclage (ECC) as an emergency treatment when the cervix is already dilated or when there is protrusion of the fetal membranes into the vagina remain controversial, especially in pregnancies at 24-28 weeks when the fetus is viable. There is still no consensus on whether emergency cervical cerclage should be performed in such cases. PURPOSE: To investigate the effectiveness and safety of emergency cervical cerclage in singleton pregnant women at 24-28 weeks of gestation. METHODS: This study employed a single-center prospective cohort design, enrolling singleton pregnant women at 24-28 weeks of gestation with ultrasound or physical examination indicating cervical dilation or even membrane protrusion. Emergency cervical cerclage was compared with conservative treatment. The primary endpoints included a comprehensive assessment of perinatal pregnancy loss, significant neonatal morbidity, and adverse neonatal outcomes. Secondary endpoints included prolonged gestational age, preterm birth, neonatal hospitalization rate, premature rupture of membranes, and intrauterine infection/chorioamnionitis. RESULTS: From June 2021 to March 2023, a total of 133 pregnant women participated in this study, with 125 completing the trial, and were allocated to either the Emergency Cervical Cerclage (ECC) group (72 cases) or the conservative treatment group (53 cases) based on informed consent from the pregnant women. The rate of adverse neonatal outcomes was 8.33% in the ECC group and 26.42% in the conservative treatment (CT) group, with a statistically significant difference (P = 0.06). There were no significant differences between the two groups in terms of perinatal pregnancy loss and significant neonatal morbidity. The conservative treatment group had a mean prolonged gestational age of 63.0 (23.0, 79.5) days, while the ECC group had 84.0 (72.5, 89.0) days, with a statistically significant difference between the two groups (P < 0.001). Compared with CT group, the ECC group showed a significantly reduced incidence of preterm birth before 28 weeks, 32 weeks, and 34 weeks, with statistical significance (P = 0.046, 0.007, 0.001), as well as a significantly decreased neonatal hospitalization rate (P = 0.013, 0.031). Additionally, ECC treatment did not increase the risk of preterm premature rupture of membranes or intrauterine infection/chorioamnionitis, with no statistically significant differences (P = 0.406, 0.397). CONCLUSION: In singleton pregnant women with cervical insufficiency at 24-28 weeks of gestation, emergency cervical cerclage can reduce adverse neonatal pregnancy outcomes, effectively prolong gestational age, decrease preterm births before 28 weeks, 32 weeks, and 34 weeks, lower neonatal hospitalization rates, and does not increase the risk of preterm premature rupture of membranes or intrauterine infection/chorioamnionitis.

COMPASS core subunits MpSet1 and MpSwd3 regulate Monascus pigments synthesis in Monascus purpureus.

In eukaryotes, methylation of histone H3 at lysine 4 (H3K4me) catalyzed by the complex of proteins associated with Set1 (COMPASS) is crucial for the transcriptional regulation of genes and the development of organisms. In Monascus, the functions of COMPASS in establishing H3K4me remain unclear. This study first identified the conserved COMPASS core subunits MpSet1 and MpSwd3 in Monascus purpureus and confirmed their roles in establishing H3K4me2/3. Loss of MpSet1 and MpSwd3 resulted in slower growth and development and inhibited the formation of cleistothecia, ascospores, and conidia. The loss of these core subunits also decreased the production of extracellular and intracellular Monascus pigments (MPs) by 94.2%, 93.5%, 82.7%, and 82.5%, respectively. In addition, RNA high-throughput sequencing and quantitative real-time polymerase chain reaction (qRT-PCR) showed that the loss of MpSet1 and MpSwd3 altered the expression of 2646 and 2659 genes, respectively, and repressed the transcription of MPs synthesis-related genes. In addition, the ΔMpset1 and ΔMpswd3 strains demonstrated increased sensitivity to cell wall stress with the downregulation of chitin synthase-coding genes. These results indicated that the COMPASS core subunits MpSet1 and MpSwd3 help establish H3K4me2/3 for growth and development, spore formation, and pigment synthesis in Monascus. These core subunits also assist in maintaining cell wall integrity.

Two-Terminal MoS2 Memristor and the Homogeneous Integration with a MoS2 Transistor for Neural Networks.

Memristors are promising candidates for constructing neural networks. However, their dissimilar working mechanism to that of the addressing transistors can result in a scaling mismatch, which may hinder efficient integration. Here, we demonstrate two-terminal MoS2 memristors that work with a charge-based mechanism similar to that in transistors, which enables the homogeneous integration with MoS2 transistors to realize one-transistor-one-memristor addressable cells for assembling programmable networks. The homogenously integrated cells are implemented in a 2 × 2 network array to demonstrate the enabled addressability and programmability. The potential for assembling a scalable network is evaluated in a simulated neural network using obtained realistic device parameters, which achieves over 91% pattern recognition accuracy. This study also reveals a generic mechanism and strategy that can be applied to other semiconducting devices for the engineering and homogeneous integration of memristive systems.

Characteristics of glucolipid metabolism and oxidative stress in breeding pigeons (Columba livia) during lactation.

Breeding pigeons is a fundamental source of profit in various enterprises but little is known on the metabolic laws governing their lactation. In this study, we analysed the metabolic profile of different sex of breeding pigeons (Columba livia, European pigeons, Mimas) during lactation. We found that male pigeons exhibited catabolism during lactation. Extension of lactation resulted in increased weight loss, then slow recovery of body weight. Conversely, the weight loss in female pigeons peaked on the seventh day of lactation. They then gradually recovered their body weight. Male pigeons showed more duration of combing, while female pigeons showed more duration of resting. In male pigeons, except for triglyceride (TG), which increased, blood lipid indexes barely changed during lactation. Conversely, in females, both TG and total cholesterol increased in middle and late lactation. The level of oxidative stress in female pigeons during lactation was higher than in males, lipid peroxide malondialdehyde, hydrogen peroxide (H2 O2 ), plasma calcium (Ca) and phosphorus (P) levels increased in late lactation. Levels of estradiol and progesterone in female pigeons increased during lactation, whereas those of luteotropic hormone (LH), follicle-stimulating hormone (FSH), prolactin (PRL) and testosterone gradually decreased. As per LC-MS spectra analysis, the differential metabolites in the plasma on the day of hatching and before laying in female pigeons in lactation were enriched in retrograde endocannabinoid signalling, α-linolenic acid, arachidonic acid, choline, glycerophospholipid metabolisms, and valine, leucine, and isoleucine degradations. Levels of fatty acids, amino acids, sphingomyelin and phosphatidylinositol related to the secretion of pigeon milk had reduced, whereas the levels of phosphatidylcholine, phosphatidylethanolamine, and TG, which are all related to egg production, had increased. In conclusion, our study systematically revealed the different metabolic characteristics of male and female breeding pigeons during lactation. This is useful for precision feeding of pigeons and applicable in nutritional interventions for improved production.

miR-19a may function as a biomarker of oral squamous cell carcinoma (OSCC) by regulating the signaling pathway of miR-19a/GRK6/GPCRs/PKC in a Chinese population.

BACKGROUND: In this study, we aimed to investigate the potential of miR-19a as a biomarker of OSCC and its underlying molecular mechanisms. METHODS: We collected serum and saliva samples from 66 OSCC patients and 66 healthy control subjects. Real-time PCR analysis, bioinformatic analysis and luciferase assays were performed to establish a potential signaling pathway of miR-19a/GRK6/GPCRs/PKC. Flowcytometry and Transwell assays were performed to observe the changes in cell apoptosis, metastasis and invasion. RESULTS: We found that miR-19a, GPR39 mRNA and PKC mRNA were upregulated while GRK6 mRNA was downregulated in the serum and saliva samples collected from OSCC patients. Moreover, in silico analysis confirmed a potential binding site of miR-19a on the 3'UTR of GRK6 mRNA, and the subsequent luciferase assays confirmed the molecular binding between GRK6 and miR-19a. We further identified that the over-expression of miR-19a could regulate the signaling between GRK6, GPR39 and PKC via the signaling pathway of miR-19a/GRK6/GPR39/PKC, which accordingly resulted in suppressed cell apoptosis and promoted cell migration and invasion. CONCLUSION: Collectively, the findings of our study propose that miR-19a is a crucial mediator in the advancement of OSCC, offering a potential avenue for the development of innovative therapeutic interventions aimed at regulating GRK6 and its downstream signaling pathways.

ECTransNet: An Automatic Polyp Segmentation Network Based on Multi-scale Edge Complementary.

Colonoscopy is acknowledged as the foremost technique for detecting polyps and facilitating early screening and prevention of colorectal cancer. In clinical settings, the segmentation of polyps from colonoscopy images holds paramount importance as it furnishes critical diagnostic and surgical information. Nevertheless, the precise segmentation of colon polyp images is still a challenging task owing to the varied sizes and morphological features of colon polyps and the indistinct boundary between polyps and mucosa. In this study, we present a novel network architecture named ECTransNet to address the challenges in polyp segmentation. Specifically, we propose an edge complementary module that effectively fuses the differences between features with multiple resolutions. This enables the network to exchange features across different levels and results in a substantial improvement in the edge fineness of the polyp segmentation. Additionally, we utilize a feature aggregation decoder that leverages residual blocks to adaptively fuse high-order to low-order features. This strategy restores local edges in low-order features while preserving the spatial information of targets in high-order features, ultimately enhancing the segmentation accuracy. According to extensive experiments conducted on ECTransNet, the results demonstrate that this method outperforms most state-of-the-art approaches on five publicly available datasets. Specifically, our method achieved mDice scores of 0.901 and 0.923 on the Kvasir-SEG and CVC-ClinicDB datasets, respectively. On the Endoscene, CVC-ColonDB, and ETIS datasets, we obtained mDice scores of 0.907, 0.766, and 0.728, respectively.

Animal DNA Typing and Its Research Progress in Forensic Medicine.

With the advance of molecular biology, DNA analysis technology has been widely applied in forensic science. Non-human DNA analysis can be used in some special cases and has unique forensic value to provide investigation clues and trial basis. Animal DNA typing plays a more prominent role in the detection of all kinds of non-human DNA related cases and is the main content of forensic non-human DNA analysis. This paper reviews the development history, present situation, advantages and disadvantages of animal DNA typing according to its technology, characteristic, challenges facing forensic science application scenarios, and also its future development.

Genetic polymorphism of 23 autosomal STR loci in Han population from Yuncheng, Shanxi Province. / 山西运城汉族群体23个常染色体STRåŸºå› åº§é—ä¼ å¤šæ€æ€§.

OBJECTIVES: Due to the genetic feature of high diversity than other DNA markers, short tandem repeat (STR) plays key roles in forensic, anthropology, and population genetics. Newly introduced multiple STR kit is more valuable because of the greatly improved discriminatory power with the increase in the number of STR loci. The genetic polymorphic data are essential for the application and research in specific population. This study aims to investigate the genetic polymorphism of Han population residing in Yuncheng district, Shanxi Province, to evaluate the application of 23 STR loci in forensic personal identification and paternity test, and to explore the genetic relationship of Han population between Yuncheng and other populations. METHODS: A total of 23 STR loci were amplified from 525 healthy unrelated individuals from the Han nationality in Yuncheng, Shanxi Province using the AGCU EX25 amplification kit. The products were detected and separated by ABI 3500 Genetic Analyzer. Alleles were genotyped by GeneMapper ID (Version 3.2) software, and corresponding frequencies and forensic parameters were calculated. We calculated the genetic distance and plotted the neighboring-joining tree with other 13 population. RESULTS: The allele frequency of the 23 STRs ranged from 0.0010 to 0.5090. No deviation from Hardy-Weinberg equilibrium (P>0.05) and linkage disequilibrium was observed. The cumulative discriminatory power (CPD), cumulative power of exclusion for trios (CPEtrio)and cumulative Power of exclusion for duos (CPEduo) with total 23 STRs were 1-1.305 263 374 8×10-27, 1-2.583 152 052 2×10-10 and 1-1.193 637 500 4×10-6, respectively. Comprehensive population comparison showed that Shanxi Yuncheng Han nationality was genetically closer to populations of the same linguistic family or geographically close proximity, such as Shaanxi Weinan Han, Liaoning Han, and Ningbo Han nationality while relatively far away from different linguistic ethnic groups and geographically distant populations like Xinjiang Uygur and Guangdong Han nationality. CONCLUSIONS: These 23 STRs are highly genetic polymorphic and informative in the Han population of Yuncheng, Shanxi Province, which can provide basic data for forensic personal identification, paternity testing, and population genetic research.

Expression of PD-L1 in ovarian cancer and its synergistic antitumor effect with PARP inhibitor.

BACKGROUND: Ovarian cancer samples were studied to determine the expression of programmed death ligand-1 (PD-L1) and its relationship with prognosis, and to explore the effect and potential mechanism of a PARP inhibitor combined with PD-L1 monoclonal antibody for the treatment of ovarian cancer. MATERIALS AND METHODS: PD-L1 expression in paraffin-embedded tissues of ovarian cancer was detected by immunohistochemistry (IHC). Flow cytometry was used to detect PD-L1 expression in TILs. Furthermore, we investigated the mechanism of the upregulation of PD-L1 expression by PARP inhibitors in vitro and verified the combined effect in vivo. RESULTS: Our study demonstrated that PD-L1 expression in ovarian cancer tissues was associated with the FIGO stage (P = 0.026). OS was significantly lower in high PD-L1 expression group than in the low expression group (P = 0.0005, HR = 2.689), PD-L1 high expression (P = 0.023, HR = 2.275) and FIGO stage (P = 0.024, HR = 11.229) were independent risk factors affecting the survival and prognosis of ovarian cancer patients. Flow cytometry test suggested that PD-L1+ expression was negatively correlated with CD8+ T cell count in ovarian cancer cells (P = 0.054, r = -0.624). In vitro experiments revealed that PD-L1 expression of ovarian cancer cell lines was upregulated after intervention with PARP inhibitors through the Chk1 pathway. The results of in vivo experiments suggested that the growth volume and quality of tumors in the combination group were significantly lower than those in control group (P < 0.05). CONCLUSIONS: PARP inhibitors could induce upregulation of PD-L1 expression by promoting phosphorylation of chk1. Antagonistic PD-L1 could reverse the inhibitory effect of PARP inhibitors on CD8+T cells, and had synergistic antitumor effect with PARP inhibitors.

Visual Interpretability in Computer-Assisted Diagnosis of Thyroid Nodules Using Ultrasound Images.

BACKGROUND The number of studies on deep learning in artificial intelligence (AI)-assisted diagnosis of thyroid nodules is increasing. However, it is difficult to explain what the models actually learn in artificial intelligence-assisted medical research. Our aim is to investigate the visual interpretability of the computer-assisted diagnosis of malignant and benign thyroid nodules using ultrasound images. MATERIAL AND METHODS We designed and implemented 2 experiments to test whether our proposed model learned to interpret the ultrasound features used by ultrasound experts to diagnose thyroid nodules. First, in an anteroposterior/transverse (A/T) ratio experiment, multiple models were trained by changing the A/T ratio of the original nodules, and their classification, accuracy, sensitivity, and specificity were tested. Second, in a visualization experiment, class activation mapping used global average pooling and a fully connected layer to visualize the neural network to show the most important features. We also examined the importance of data preprocessing. RESULTS The A/T ratio experiment showed that after changing the A/T ratio of the nodules, the accuracy of the neural network model was reduced by 9.24-30.45%, indicating that our neural network model learned the A/T ratio information of the nodules. The visual experiment results showed that the nodule margins had a strong influence on the prediction of the neural network. CONCLUSIONS This study was an active exploration of interpretability in the deep learning classification of thyroid nodules. It demonstrated the neural network-visualized model focused on irregular nodule margins and the A/T ratio to classify thyroid nodules.

Updated population genetic data of 15 autosomal STR loci in a Shandong Han population from East China and genetic relationships among 26 Chinese populations.

BACKGROUND: The population genetics investigation of STR loci in specific populations is the basic premise for forensic practice, and the AmpFlSTRTM IdentifilerTM Plus kit is still widely used in most forensic DNA laboratories. AIM: To obtain more reliable and accurate population genetic data of 15 autosomal STRs in the Shandong Han population and explore the genetic relationship with 25 neighbouring Chinese populations. SUBJECTS AND METHODS: A total of 5356 unrelated Chinese Han individuals from Shandong Province were genotyped using the IdentifilerTM Plus Kit. Allele frequencies and corresponding forensic statistical parameters were calculated. Population comparisons were further explored through the neighbour-joining tree and multidimensional scaling analysis. RESULTS: A total of 217 alleles were calculated, the allele frequencies spanned from 0.0001 to 0.5340. The combined discrimination power (CDP) and the combined probability of paternity (CPE) of 15 STR loci were 0.99999999999999998755 and 0.999994524, respectively. Population comparisons demonstrated that Shandong Han have genetic homogeneity with most Sino-Tibetan populations. CONCLUSIONS: Our study updates the Shandong Han population database with a large sample size. These 15 STR loci in the Shandong Han population are more polymorphic and discriminatory than shown in previous data, which could be more applicable to personal identification and paternity testing, as well other population genetics studies.

Deterministic Assembly of Three-Dimensional Suspended Nanowire Structures.

Controlled assembly of nanowire three-dimensional (3D) geometry in an addressable way can lead to advanced 3D device integration and application. By combining a deterministic planar nanowire assembly and a transfer process, we show here a versatile method to construct vertically protruding and suspending nanowire structures. The method harnesses the merits from both processes to yield positional and geometric control in individual nanowires. Multiple transfers can further lead to hierarchical multiwire 3D structures. Assembled 3D nanowire structures have well-defined on-substrate terminals that allow scalable addressing and integration. Proof-of-concept nanosenors based on assembled 3D nanowire structures can achieve high sensitivity in force detection.

Candidate genes for grape white rot resistance based on SMRT and Illumina sequencing.

BACKGROUND: White rot is one of the most dangerous fungal diseases and can considerably affect grape berry production and quality. However, few studies have focused on this disease, and thus, finding candidate white rot resistance genes is of great importance for breeding resistant grapevine cultivars. Based on field observations and indoor experiments, the cultivars "Victoria" and "Zhuosexiang" showed significant differences in white rot resistance. For understanding the molecular mechanisms behind it, different phenotypes of grapevine leaves were used for RNA sequencing via Illumina and single-molecule real-time (SMRT) sequencing technology. RESULTS: A transcript library containing 53,906 reads, including known and novel transcripts, was constructed following the full-length transcriptome sequencing of the two grapevine cultivars. Genes involved in salicylic acid (SA) and jasmonic acid (JA) synthesis pathways showed different expression levels. Furthermore, four key transcription factors (TFs), NPR1, TGA4, Pti6, and MYC2, all involved in the SA and JA signal pathways were identified, and the expression profile revealed the different regulation of the pathogenesis related protein1 (PR1) resistance gene, as mediated by the four TFs. CONCLUSIONS: Full-length transcript sequencing can substantially improve the accuracy and integrity of gene prediction and gene function research in grapevine. Our results contribute to identify candidate resistance genes and improve our understanding of the genes and regulatory mechanisms involved in grapevine resistance to white rot.

Progress in interleukin-2 therapy for rheumatic immune diseases by regulating the immune balance of T cells.

Breaking the balance between effector T cells, including Th17 (T helper cell 17) cells, and regulatory T cells (Tregs) is a key link in the pathogenesis of rheumatic immune diseases, which lead to a new concept of regulating immune balance in the treatment of rheumatic immune diseases. Interleukin (IL)-2 can effectively regulate the differentiation, development and functional activity of regulatory T cells, thus restoring the immune balance between regulatory T cells and effector T cells. Therefore, low-dose IL-2 has been used in the treatment of rheumatic immune diseases, and it has become a promising new choice to achieve therapeutic purpose by regulating the immune balance of T cell. Here, we discuss the role of T cells immune imbalance in the pathogenesis of rheumatic immune diseases and the mechanism of IL-2 in the treatment of rheumatic immune diseases by regulating T cells immune balance and summarize the relevant clinical trials.

Forensic performance of 30 InDels included in the Investigator DIPplex system in Miao population and comprehensive genetic relationship in China.

Binary markers of insertion and deletion (InDel) play an important role in forensic personal identification, parentage testing, and individual ancestry inference. We first genotyped 30 InDels included in the Investigator DIPplex in 403 unrelated healthy Zunyi Miao people and analyzed the genetic polymorphisms, as well as explored the genetic relationship between Miao and 32 Chinese reference populations. No departures from the HWE were observed. The combined power of discrimination and the combined probability of exclusion were 0.99999999998 and 0.9884, respectively. Forensic parameters demonstrated that 30 markers are polymorphic and informative in the Zunyi Miao population and can be used as a tool for forensic personal identification and parentage testing. Allele frequency divergence analysis found that 12 out of 30 displaying high allele frequency difference between Turkic-speaking populations and other Chinese populations can be used as candidates of ancestry informative markers for ancestry inference of sub-population in East Asia. Population genetic parameters in the comprehensive population comparison among 33 Chinese populations indicated that our studied Hmong-Mien-speaking Miao has a close genetic relationship with geographically adjacent Enshi Tujia and genetically differentiate from Turkic-speaking populations.

Forensic characteristics and phylogenetic analysis of 23 Y-STR loci in the Miao population from Guizhou province, southwest China.

BACKGROUND: Investigation of haplotype/allele frequency data of Y-STR loci in ethnically diverse populations is essential for forensic reference database construction and genetic application. However, the population genetic characteristics of the Chinese Miao minority from Guizhou Province remain uncharacterised. AIM: To assess forensic characteristics for 23 Y-Chromosomal STR loci in Guizhou Miao and explore population genetic relationships with geographically neighbouring populations. SUBJECTS AND METHODS: Twenty-three Y-Chromosomal STRs were genotyped using the Powerplex® Y23 system in 103 unrelated Chinese Miao males from Guizhou Province, southwest China. Haplotypes and forensic parameters were obtained. Population relationships of Guizhou Miao with others were revealed using AMOVA and an MDS plot. RESULTS: A total of 96 haplotypes were identified with overall haplotype diversity (HD) and discrimination capacity (DC) of 0.9985 and 0.9320, respectively. Genetic differentiation was observed with most of the comparison populations, prominently for Guizhou Shui. CONCLUSION: The 23 Y-STR loci were highly polymorphic and discriminating in the Guizhou Miao population and could be used for forensic practice and population genetic studies. Population relationship analysis revealed Guizhou Miao had a close genetic relationship with geographically close Guizhou Gelao, as well as Han majorities derived from different regions.

WITHDRAWN: Whole genome sequencing identifies novel NOTCH3 mutations for leukoaraiosis.

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