Low cycle number multiplex PCR: A novel strategy for the construction of amplicon libraries for next-generation sequencing.

Multiplex PCR is a critical step when preparing amplicon library for next-generation sequencing. However, there are several challenges related to multiplex PCR including poor uniformity, nonspecific amplification, and primer-dimers. To address these issues, we propose a novel solution strategy that involves using a low cycle number (<10 cycles) in multiplex PCR and then employing carrier DNAs and magnetic beads for the selection of targeted products. This technique improves the amplicon uniformity while also reducing primer-dimers and PCR artifacts. To evaluate our technique, we initially utilized 120 DNA fragments from mouse genome containing single nucleotide polymorphism (SNP) sites. Sequencing results demonstrated that with only 7 cycles of multiplex PCR, 95.8% of the targeted SNP sites were mapped, with a coverage of at least 1×. The average sequencing depth of all amplicons was 1705.79 ± 1205.30×; 87% of them reached a coverage depth that exceeded 0.2-fold of the average sequencing depth. Our method had a greater uniformity (87%) when compared to Hi-Plex PCR (53.3%). Furthermore, we validated our strategy by randomly selecting 90 primer pairs twice from the initial set of 120 primer-pairs. Next, we used the same protocol to prepare amplicon libraries. The two groups had an average sequencing depth of 1013.30 ± 585.57× and 219.10 ± 158.27×, respectively; over 84% of the amplicons had a sequencing depth that exceeded 0.2-fold of average depth. These results suggest that the use of a low cycle number in multiplex PCR is a cost-effective and efficient approach for the preparation of amplicon libraries.

Multiplex Detection of RNA Viruses Based on Ligation Reaction and Universal PCR Amplification.

To detect several RNA viruses simultaneously, a method based on multiplex ligation reaction combined with multiplex qPCR or multiplex PCR+capillary electrophoresis was established to detect four RNA viruses: human immunodeficiency virus (HIV), hepatitis C (HCV), influenza A virus (IAV) H1N1 and H5N1. The experimental conditions including ligation probe concentration, annealing procedure, ligation temperature and ligase dosage were optimized intensively. We found that the specificity of the ligation reaction was affected by the probe concentration predominantly, high-probe concentration (100 nM) resulted in splint-independent ligation with efficiency comparable to that with RNA splint. The sensitivity of the ligation reaction was affected by the annealing mode apparently as the sensitivity of the step-down annealing mode was 100 times higher than that of the isothermal annealing at 37 °C. Under the optimized condition, this assay could detect virus RNA as low as 16 viral copies per reaction in doubleplex and triplex real-time quantitative PCR detection with satisfactory specificity and precision. By multiplex PCR+capillary electrophoresis, four RNA viruses could be detected in one tube with the sensitivity of 10 copies per reaction.

Individual preferences, government policy, and COVID-19: A game-theoretic epidemiological analysis.

Purpose: The ongoing COVID-19 pandemic imposes serious short-term and long-term health costs on populations. Restrictive government policy measures decrease the risks of infection, but produce similarly serious social, mental health, and economic problems. Citizens have varying preferences about the desirability of restrictive policies, and governments are thus forced to navigate this tension in making pandemic policy. This paper analyses the situation facing government using a game-theoretic epidemiological model. Methodology: We classify individuals into health-centered individuals and freedom-centered individuals to capture the heterogeneous preferences of citizens. We first use the extended Susceptible-Exposed-Asymptomatic-Infectious-Recovered (SEAIR) model (adding individual preferences) and the signaling game model (adding government) to analyze the strategic situation against the backdrop of a realistic model of COVID-19 infection. Findings: We find the following: 1. There exists two pooling equilibria. When health-centered and freedom-centered individuals send anti-epidemic signals, the government will adopt strict restrictive policies under budget surplus or balance. When health-centered and freedom-centered individuals send freedom signals, the government chooses not to implement restrictive policies. 2. When governments choose not to impose restrictions, the extinction of an epidemic depends on whether it has a high infection transmission rate; when the government chooses to implement non-pharmacological interventions (NPIs), whether an epidemic will disappear depends on how strict the government's restrictions are. Originality/value: Based on the existing literature, we add individual preferences and put the government into the game as a player. Our research extends the current form of combining epidemiology and game theory. By using both we get a more realistic understanding of the spread of the virus and combine that with a richer understanding of the strategic social dynamics enabled by game theoretic analysis. Our findings have important implications for public management and government decision-making in the context of COVID-19 and for potential future public health emergencies.

A novel multiplex qPCR method for assessing the comparative lengths of telomeres.

BACKGROUND: The comparative length of telomeres is considered to be related to diseases such as cancer, aging, and cardiovascular diseases. qPCR is currently one of the main methods for detecting telomere length. However, due to the unique sequence of telomeres (highly repetitive six-base sequence), it is difficult to design primers and probes to expand and detect telomere and to put internal reference gene and telomere into the same tube for detection to reduce the possible inter-pore errors and improve amplification efficiency. Besides, the stability and accuracy of the test results are greatly affected by the difference between reference genes and telomere copy number. METHODS: In this study, the single-copy genes were replaced with high-copy genes (300 copies) as the internal control to reduce the copy number difference of the internal genes and telomere. In addition, a multiplex qPCR system was constructed to detect the telomeres and an internal reference gene product. We also detected the lengths of telomeres in the genomic DNA in immortalized cells (293T and Hela) from different generations of cells. RESULTS: We detected the comparative telomere lengths of 1500 random Chinese volunteers of different ages with the multiplex qPCR method; the result shows that the comparative length of telomeres is negatively related to age. In addition, we compared our qPCR detection method with a terminal restriction fragmentation (TRF) method. Both of them were highly consistent, indicating that the qPCR method was reliable. CONCLUSIONS: In conclusion, we developed a stable, convenient, and accurate comparative telomere length detection method.

A novel multiplex fluorescent competitive PCR for copy number variation detection.

The copy number variation (CNV) is an important genetic marker in cancer and other diseases. To detect CNVs of specific genetic loci, the multiplex ligation-dependent probe amplification (MLPA) is an appropriate approach, but the experimental optimization and probe synthesis are still great challenges. The multiplex competitive PCR is an alternative method for CNV detection. However, the construction of internal competitive template and establishment of a stable multiplex PCR system are the main limiting factors for this method. Here, we introduce a novel multiplex fluorescent competitive PCR (NMFC-PCR) for detecting CNVs. In this method, the blunt hairpin primers are used to rapidly establish a stable multiplex PCR system due to the reduction of non-specific amplification, and limited cycles' amplification is used to obtain the internal competitive template instead of artificial synthesis. With this method, we tested 21 clinical samples with potential LIM homeobox 1 (LHX1) or T-box 6 (TBX6) deletion. Every three segments located on the LHX1 and TBX6 were selected as the target regions, while two segments located on X-chromosome and five segments located on autosome were selected as the reference regions for detecting CNVs. The results showed that the gender information of 21 samples can be accurately inferred by the copy number ratio (CNR) of X-chromosomal reference region to autosomal reference region (X/A), and 2 samples had one copy of LHX1 and 9 samples had one copy of TBX6. To evaluate the accuracy of NMFC-PCR, 5 random samples with CNV were also detected by array-based comparative genomic hybridization (aCGH), and the results of aCGH were consistent with the NMFC-PCR results. To further assess the performance of NMFC-PCR, 60 normal samples were simultaneously tested. The results showed that the gender results were exactly the same as known information, and CNVs of LHX1 or TBX6 were not found. In conclusion, the method is a cheap, efficient, accurate, and convenient competitive PCR method for CNV detection.

A multiplex SNP genotyping by allele-specificspecific PCR based on stem-loop and universal fluorescent primers of Chr1daxin mice.

Single nucleotide polymorphisms (SNPs) are one of the most common markers in mammals. Rapid, accurate, and multiplex typing of SNPs is critical for subsequent biological and genetic research. In this study, we have developed a novel method for multiplex genotyping SNPs in mice. The method involves allele-specific PCR amplification of genomic DNA with two stem-loop primers accompanied by two different universal fluorescent primers. Blue and green fluorescent signals were conveniently detected on a DNA sequencer. We verified four SNPs of 65 mice based on the novel method, and it is well suited for multiplex genotyping as it requires only one reaction per sample in a single tube with multiplex PCR. The use of universal fluorescent primers greatly reduces the cost of designing different fluorescent probes for each SNP. Therefore, this method can be applied to many biological and genetic studies, such as multiple candidate gene testing, genome-wide association study, pharmacogenetics, and medical diagnostics.

A SRSF1 self-binding mechanism restrains Mir505-3p from inhibiting proliferation of neural tumor cell lines.

Srsf1 has currently been demonstrated to be an oncogene that is precisely autoregulated for normal physiology. Although Mir505-3p has been reported as one of the regulatory miRNAs of Srsf1 in mouse embryonic fibroblast (MEF), the inhibitory effect of Mir505-3p on Srsf1 is poorly described in neural tumors. Whether SRSF1 autoregulation interferes with miRNA targeting on the Srsf1 transcript is unclear. In this work, we screened out one target site, out of three potential target sites on 3' UTR of Srsf1 transcript, that was required for Mir505-3p targeting. We showed that Mir505-3p was capable of inhibiting tumor proliferation driven by SRSF1 in two neural tumor cell lines, Neuro-2a (N2a) and U251, exclusively in serum-reduced condition. We observed that the protein level of SRSF1 was gradually promoted by increasing concentration of serum. We also found that overexpressed exogenous SRSF1 protein abolished this RNA interfering related targeting, suggesting that serum-rich condition restrains Mir505-3p from inhibiting Srsf1 transcript after inducing SRSF1 protein overexpression. Moreover, by applying bioinformatic analysis, the SRSF1 self-binding motif was found proximal to the Mir505-3p target site, which was required for a SRSF1 competitive self-binding interaction. The interaction of overexpressed exogenous SRSF1 protein and the SRSF1 self-binding motif was sufficient to restrain Mir505-3p from targeting the Srsf1 transcript. These results provide a better understanding of how tumorous microenvironment influences anticancer therapy in the neural system, suggesting potential strategic design for anticancer drugs.

Sequence analysis of chromosome 1 revealed different selection patterns between Chinese wild mice and laboratory strains.

Both natural and artificial selection play a critical role in animals' adaptation to the environment. Detection of the signature of selection in genomic regions can provide insights for understanding the function of specific phenotypes. It is generally assumed that laboratory mice may experience intense artificial selection while wild mice more natural selection. However, the differences of selection signature in the mouse genome and underlying genes between wild and laboratory mice remain unclear. In this study, we used two mouse populations: chromosome 1 (Chr 1) substitution lines (C1SLs) derived from Chinese wild mice and mouse genome project (MGP) sequenced inbred strains and two selection detection statistics: Fst and Tajima's D to identify the signature of selection footprint on Chr 1. For the differentiation between the C1SLs and MGP, 110 candidate selection regions containing 47 protein coding genes were detected. A total of 149 selection regions which encompass 7.215 Mb were identified in the C1SLs by Tajima's D approach. While for the MGP, we identified nearly twice selection regions (243) compared with the C1SLs which accounted for 13.27 Mb Chr 1 sequence. Through functional annotation, we identified several biological processes with significant enrichment including seven genes in the olfactory transduction pathway. In addition, we searched the phenotypes associated with the 47 candidate selection genes identified by Fst. These genes were involved in behavior, growth or body weight, mortality or aging, and immune systems which align well with the phenotypic differences between wild and laboratory mice. Therefore, the findings would be helpful for our understanding of the phenotypic differences between wild and laboratory mice and applications for using this new mouse resource (C1SLs) for further genetics studies.

A novel three-round multiplex PCR for SNP genotyping with next generation sequencing.

Owing to the high throughput and low cost, next generation sequencing has attracted much attention for SNP genotyping application for researchers. Here, we introduce a new method based on three-round multiplex PCR to precisely genotype SNPs with next generation sequencing. This method can as much as possible consume the equivalent amount of each pair of specific primers to largely eliminate the amplification discrepancy between different loci. After the PCR amplification, the products can be directly subjected to next generation sequencing platform. We simultaneously amplified 37 SNP loci of 757 samples and sequenced all amplicons on ion torrent PGM platform; 90.5 % of the target SNP loci were accurately genotyped (at least 15×) and 90.4 % amplicons had uniform coverage with a variation less than 50-fold. Ligase detection reaction (LDR) was performed to genotype the 19 SNP loci (as part of the 37 SNP loci) with 91 samples randomly selected from the 757 samples, and 99.5 % genotyping data were consistent with the next generation sequencing results. Our results demonstrate that three-round PCR coupled with next generation sequencing is an efficient and economical genotyping approach. Graphical Abstract The schematic diagram of three-round PCR.

Cascading Failure in Cyber-Physical Systems: A Review on Failure Modeling and Vulnerability Analysis.

Cascading failures pose a significant security threat to networked systems, with recent global incidents underscoring their destructive potential. The security threat of cascading failures has always existed, but the evolution of cyber-physical systems (CPSs) has introduced novel dimensions to cascading failures, intensifying their threats owing to the intricate fusion of cyber and physical domains. Addressing these threats requires a nuanced understanding achieved through failure modeling and vulnerability analysis. By analyzing the historical failures in different CPSs, the cascading failure in CPSs is comprehensively defined as a complicated propagation process in coupled cyber and physical systems, initialized by natural accidents or human interference, which exhibits a progressive evolution within the networked structure and ultimately results in unexpected large-scale systemic failures. Subsequently, this study advances the development of instructions for modeling cascading failures and conducting vulnerability analyses within CPSs. The examination also delves into the core challenges inherent in these methodologies. Moreover, a comprehensive survey and classification of extant research methodologies and solutions are undertaken, accompanied by a concise evaluation of their advancements and limitations. To validate the performance of these methodologies, numerical experiments are conducted to ascertain their distinct features. In conclusion, this article advocates for future research initiatives, particularly emphasizing the exploration of uncertainty analysis, defense strategies, and verification platforms. By addressing these areas, the resilience of CPSs against cascading failures can be significantly enhanced.

Quantitative analysis of multiple genes' expressions based on a novel competitive RT-PCR assay.

We established a novel gene expression analysis platform, Multiplex Competitive RT-PCR Using Fluorescent Universal Primers (MCF-PCR), to study multi-gene expression patterns simultaneously. This platform combines fluorescent universal primers, multiplex competitive RT-PCR, and capillary electrophoretic separation, which ensures MCF-PCR a reliable, medium-throughput, cost-effective technology for gene expression profiling. With cloned standard DNAs, the detection limits, precision, and sensitivity of MCF-PCR were evaluated and compared with that of the assay without adding competitive templates and real-time PCR, respectively. The results showed that detection limit was 3.125 × 10(3) to 3.2 × 10(6) copies, and 10 % copy differences between two samples can be detected by MCF-PCR. To validate MCF-PCR, we analyzed expression profile of five genes in interleukin (IL)-4/IL-13 pathway in peripheral blood of 20 healthy adults and 20 allergic dermatitis patients; three genes including IL-4, IL-13, and STAT6 were found differentially expressed in the two sample groups, which maybe key players in IL-4/IL-13 immunological signaling pathway and need further function analysis.

Susceptibility loci affecting ERBB2/neu-induced mammary tumorigenesis in mice.

Twenty percent of breast cancers exhibit amplification or overexpression of ERBB2/neu and a poor prognosis. As the susceptibility genes controlling ERBB2 tumorgenesis are unknown, in a genetic mapping project we crossed transgenic mice expressing the neu oncogene under control of MMTV promoter with recombinant congenic (RC) strains, which provided a high mapping power. RC strains differed considerably in tumor latency (P = 0.0002), suggesting a strong genetic control of tumor development. Linkage analysis in neu-transgene carrying F2 hybrids between the most susceptible and most resistant RC strain revealed three mammary tumor susceptibility (Mts) loci with main effects, Mts1 (chr. 4), Mts2 (chr. 10), Mts3 (chr. 19), and two interacting loci Mts4 (chr.6) and Mts5 (chr. 8), significantly affecting mammary tumor latency. Suggestive significance levels indicated control of tumor numbers by Mts1 alone and in interaction with Mts5, and by two additional interacting loci on chromosomes 1 and 8. These loci combined explain to a large extent the tumor latency and number in individual F2 mouse. We also identified a suggestive locus on chromosome 17 controls metastasis to the lung. The loci Mts1, Mts1b, and Mts3 are located in the Naad4-4,5 and Naad19-2 LOH-regions of neu-induced mammary tumors, corresponding to the frequent human breast cancer LOH-regions 1p34/1p36, and 10q25, respectively. These results expand the knowledge of ERBB2 tumorigenesis and point to a combined control of specific tumor phenotypes by germ-line polymorphisms and somatic alterations.

Population genomics provides insights into the genetic diversity and adaptation of the Pieris rapae in China.

The cabbage white butterfly (Pieris rapae), a major agricultural pest, has become one of the most abundant and destructive butterflies in the world. It is widely distributed in a large variety of climates and terrains of China due to its strong adaptability. To gain insight into the population genetic characteristics of P. rapae in China, we resequenced the genome of 51 individuals from 19 areas throughout China. Using population genomics approaches, a dense variant map of P. rapae was observed, indicating a high level of polymorphism that could result in adaptation to a changing environment. The feature of the genetic structure suggested considerable genetic admixture in different geographical groups. Additionally, our analyses suggest that physical barriers may have played a more important role than geographic distance in driving genetic differentiation. Population history showed the effective population size of P. rapae was greatly affected by global temperature changes, with mild periods (i.e., temperatures warmer than those during glaciation but not excessively hot) leading to an increase in population size. Furthermore, by comparing populations from south and north China, we have identified selected genes related to sensing temperature, growth, neuromodulation and immune response, which may reveal the genetic basis of adaptation to different environments. Our study is the first to illustrate the genetic signatures of P. rapae in China at the population genomic level, providing fundamental knowledge of the genetic diversity and adaptation of P. rapae.

The phenotypic distribution of quantitative traits in a wild mouse F1 population.

The human complex diseases such as hypertension, precocious puberty, and diabetes have their own diagnostic thresholds, which are usually estimated from the epidemiological data of nature populations. In the mouse models, numerous phenotypic data of complex traits have been accumulated; however, knowledge of the phenotypic distribution of the natural mouse populations remains quite limited. In order to investigate the distribution of quantitative traits of wild mice, 170 F1 progeny aged 8-10 weeks and derived from wild mice collected from eight spots in the suburbs of Shanghai were tested for their values of anatomic, blood chemical, and blood hematological parameters. All the wild mice breeders were of Mus. m. musculus and Mus. m. castaneus maternal origin according to the single nucleotide polymorphism (SNP) markers of the mitochondrial DNA. The results showed that phenotypes in wild mice had a normal distribution with four to six times the standard deviation. For the majority of the traits, the wild outbred mice and laboratory inbred mice have significantly different ranges and mean values, whereas the wild mice did not necessarily show more phenotypic diversity than the inbred ones. Our data also showed that natural populations may have some unique phenotypes related to sugar and protein metabolism, as the mean value of wild mice differ dramatically from the inbred mice in the levels of blood glucose, BUN (blood urea nitrogen), and total blood protein. The epidemiological information of the complex traits in the nature population from our study provided valuable reference for the application of mouse models in those complex disease studies.

The impact of the government response on pandemic control in the long run-A dynamic empirical analysis based on COVID-19.

PURPOSE: Although the outbreak of the Corona Virus Disease 2019 (COVID-19) occurred on a global scale, governments from different countries adopted different policies and achieved different anti-epidemic effects. The purpose of this study is to investigate whether and how the government response affected the transmission scale of COVID-19 on the dynamic perspective. METHODOLOGY: This paper uses a dynamic generalized moment method to research the relationship between the government response and COVID-19 case fatality rate by using panel data from eight countries: China, United States, Canada, Australia, Italy, France, Japan, and South Korea. FINDINGS: We have the following findings: 1. Government responses have a significant impact on the scale of COVID-19 transmission. 2. The rate of increase of government responses on the growth rate of COVID-19 case fatality rate has the characteristics of cyclicity and repeatability, that is, with the increase in the growth rate of government responses, the COVID-19 case fatality rate shows the following cyclical motion law: increasing first, reaching the maximum point, and then declining, and finally reaching the minimum point and then rising; ultimately, its convergence becomes 0. The cyclical fluctuations of COVID-19 in the long term may be caused by the decline in the level of government response, the mutation of the virus, and the violation of restrictive policies by some citizens. 3. The government response has a lag in controlling the spread of COVID-19. ORIGINALITY/VALUE: Since there is a lack of literature on the impact of government responses on the development of COVID-19 from a long-term and dynamic perspective. This paper fills this gap in empirical research. We provide and expand new empirical evidence based on the current literature. This paper provides the basis for government decision-making and will help to formulate the response to other major public health events that may occur in the future.

Application of a novel method PCR-ligase detection reaction for tracking predator-prey trophic links in insect-resistant GM rice ecosystem.

Insect-resistant genetically modified (IRGM) rice is on the verge of commercial release in China, however, its potential non-target effect on non-target insect natural enemies remains controversial. Tracking trophic interactions between predators and preys in IRGM rice ecosystem can provide new insights into better understanding of the ecological risks of IRGM rice. In the present study, a novel method based on ligase detection reaction (LDR), PCR-LDR was introduced to track 15 prey species in the gut of a predaceous spider Pirata subpiraticus, a dominant natural enemy in rice field. Our results indicated that PCR-LDR could provide high specificity and sensitivity in tracking prey-predator interactions in rice ecosystems. PCR-LDR could detect as little as 1,000 th of DNA mixture. Reliable detection of DNA samples of prey species using PCR-LDR could be significantly affected by digestion time and prey species. In the analysis of 200 field-collected P. subpiraticus and 105 field-collected Tetragnatha maxillosa individuals using PCR-LDR, prey remains were identified in 78.3 and 74.3% of the individuals, respectively, from which significant predation differences between the two spider species were observed. Predation behavior of the spider species was not significantly different between Bt and non-Bt control rice lines. These results indicated that PCR-LDR can be used as an important tool for ecological studies, especially on the interactions between predators and preys in IRGM rice or other similar ecosystems.

Genome wide methylation analysis to uncover genes related to recurrent pregnancy loss.

BACKGROUND: Recurrent pregnancy loss (RPL) refers to two or more consecutive spontaneous abortion before 24 weeks of gestation, representing 1% of couples of childbearing age. Epigenetic factors including dysregulation of DNA methylation of some genes may play a role in RPL. OBJECTIVE: To identify RPL related genes modulated by DNA methylation expressed in decidua and blood. METHODS: Three decidua samples each from RPL patients and normal controls were recruited to perform genome-wide bisulfite sequencing (GWBS) and transcriptome sequencing. Based on the above results, 22.52 kb of differential methylation regions (DMRs) from 17 genes were verified by bisulfite sequencing PCR at specific region (Hi-MethylSeq) in another 15 decidua (7RPL vs. 8 Controls) and 13 blood (5RPL vs. 8 Controls) samples. RESULTS: 23 genes showed significantly differential cytosine methylation status and distinct expression level between PRL patients and healthy controls synergistically. Three signaling pathways were found to be shared between genes with both hypomethylated differential methylation regions (DMR) and upregulated differential gene expression (DGE). The results from Hi-MethylSeq showed that the hypermethylation of SGK1 in both blood and decidua samples in RPL patients, which was consistent to its lower expression in endometrium reported earlier. SGK3 and CREB5 also showed modulated methylation level in RPL decidua. CONCLUSION: Our finding supported that aberrant methylation of SGK1 and CREB5 could be a cause of the dysregulation of these gens in the endometrium, which is one of cause of reproductive failure. The function of SGK3 in reproduction system deserves further investigation.

A 1-bp deletion in the gammaC-crystallin leads to dominant cataracts in mice.

To date around 140 genetic alleles have been identified as being responsible for mouse cataract pathology, including Crya, Cryb, Cryg, Maf, Pax6, Pitx3, Sox, Connexins, MIP, and Lim-2. We obtained a dominant cataract mouse model from a spontaneous mutation in the F1 hybrids of outbred strain ICR mice crossed to the inbred strain BALB/cJ mice. Heterozygous and homozygous mutants expressed a nuclear cataract in both eyes. In 8-day-old mice, histological analysis showed that polygon epithelial cells were in the equatorial region and cortex underneath, and vacuole and sponge-like degeneration were in the cortical area underneath the posterior lens capsule. The nucleus of the lens was a deeply stained pink, with the shorter fibers losing their normal arrangement. For the entire eye, there was a blank zone in the equatorial region in 8-day-old mice; however, there was a certain degree of atrophy in cornea tension and retina in the lens in 3-month-old mice. The lens had been serious damaged in the homozygous mutants. For mutation mapping, heterozygous carriers were mated to wild-type C3H/HeJ mice, and offspring (F1 generation) with cataracts were backcrossed to the wild-type C3H/HeJ mice again. N2 mice with cataracts were used for genotyping. Using genome-wide linkage analysis, the mutation was mapped to chromosome 1 and the Cryg gene cluster between two markers was confirmed as the candidate gene. After direct sequencing the cDNA of the Cryg gene cluster, a 1-bp deletion was found in exon 3 of the Crygc gene, leading to a stop codon at the 76th amino acid of exon 3 which results in production of a truncated protein in mutant mice (Leu160Stop). Bioinformatic analysis of the mutant gammaC-crystallin reveals that the COOH-terminal of the mutant protein deletes a beta-sheet, which affects the function of the lens proteins and leads to the development of cataracts.

MiR-199-3p modulates the onset of puberty in rodents probably by regulating the expression of Kiss1 via the p38 MAPK pathway.

The Kiss1 gene plays an indispensable role in modulating the onset of puberty and fertility in mammals. Although an increasing number of genetic and environmental factors that influence reproduction through Kiss1 have been identified, the function of microRNAs, a class of posttranscriptional regulators, in regulating Kiss1 expression remains poorly understood. This study aimed at investigating the mechanism by which Kiss1 expression is regulated by microRNAs. A simplified miRNome screen by a dual-fluorescence reporter system based on Kiss1 was performed to identify microRNAs that affect the expression of Kiss1. The expression patterns of the identified microRNAs during the period of murine sexual development were investigated, and only miR-199-3p was studied further. Aided by bioinformatics algorithms, miR-199-3p was demonstrated to be a repressor of Kiss1 expression, as it blocked the expression of Kiss1 through the p38 MAPK pathway by simultaneously inhibiting several targets in both GT1-7 cells and primary hypothalamic neurons. Both the inhibition of the p38 MAPK pathway by the intracerebroventricular administration of chemical agents in rats and the ectopic expression of miR-199-3p by lentivirus injection in the hypothalamus in mice delayed puberty onset and gonad development. Our results presented a novel regulatory mechanism of puberty onset which the sustained downregulation of miR-199-3p might gradually release the inhibition of the p38 MAPK/Fos/CREB/Kiss1 pathway during puberty development.

Genome-Wide Analysis of MicroRNA-related Single Nucleotide Polymorphisms (SNPs) in Mouse Genome.

MicroRNAs are widely referred to as gene expression regulators for different diseases. The integration between single nucleotide polymorphisms (SNPs) and miRNAs has been associated with both human and animal diseases. In order to gain new insights on the effects of SNPs on miRNA and their related sequences, we steadily characterized a whole mouse genome miRNA related SNPs, analyzed their effects on the miRNA structural stability and target alteration. In this study, we collected 73643859 SNPs across the mouse genome, analyzed 1187 pre-miRNAs and 2027 mature miRNAs. Upon mapping the SNPs, 1700 of them were identified in 702 pre-miRNAs and 609 SNPs in mature miRNAs. We also discovered that SNP densities of the pre-miRNA and mature miRNAs are lower than the adjacent flanking regions. Also the flanking regions far away from miRNAs appeared to have higher SNP density. In addition, we also found that transitions were more frequent than transversions in miRNAs. Notably, 841 SNPs could change their corresponding miRNA's secondary structure from stable to unstable. We also performed target gain and loss analysis of 163 miRNAs and our results showed that few miRNAs remained unchanged and many miRNAs from wild mice gained target site. These results outline the first case of SNP variations in the mouse whole genome scale. Those miRNAs with changes in structure or target could be of interest for further studies.