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The transcription of interferon-stimulated gene 15 (isg15) is induced by type I interferons. ISG15 can covalently modify target proteins through the sequential action of enzymesE1, E2, and E3, a process known as ISGylation. The ISGylation of host proteins is widely involved in immune responses, such as host antiviral defence. Ubiquitin-specific protease 18 (USP18), as a deubiquitinase (DUB), can remove ISG15 conjugated to target proteins and inhibit host immune responses by suppressing the type I interferon signaling. The dynamic balance between ISGylation and deISGylation mediated by ISG15 or USP18 respectively plays a significant role in the tuberculosis. Furthermore, similar to ISG15, USP18 is extensively involved in virus-host interaction. In this review, we summarize the roles of ISGylation and deISGylation in tuberculosis and other important diseases mediated by ISG15 and USP18 respectively, underlying regulator network. Further studies in this aspect will inspire new host-targeted strategies to control important diseases such as tuberculosis.

Influenza A viruses have a wide range of hosts and are highly infectious, which can cause zoonotic diseases and pose a serious public health threat to human safety. An influenza pandemic could outbreak if new strains gain the ability of human-to-human transmission, either by genetic mutation or by gene reassortment. It is an urgent issue for the scientific community to reveal the genetic basis and molecular mechanisms underlying the interspecies transmission of influenza viruses, which will provide important implications for the effective monitoring and prevention of potential influenza pandemics. In this review, we summarize the molecular determinants of influenza viruses for host adaptation, and highlight the advances in the gene mutations of the virus itself and the interaction between virus and host factors. This will help to make a theoretical reserve for the next influenza pandemic and find new strategies to fight against influenza.

The CRISPR genome editing technology shows great application prospects in gene manipulation and infectious disease research, and is of great value for effective control and cure of infectious diseases. It has been utilized to generate specific disease models in cells, organoids and animals, which provide great convenience for research into the molecular mechanisms associated with infectious diseases. CRISPR screening technology enables high-throughput identification of risk factors. New molecular diagnostic tools based on CRISPR offer a more sensitive and faster method for detecting pathogens. The use of CRISPR tools to introduce resistance genes or to specifically destroy risk genes and virus genomes is intended to help prevent or treat infectious diseases. This review discusses the application of CRISPR genome editing technologies in the construction of disease models, screening of risk factors, pathogen diagnosis, and prevention and treatment of infectious diseases, thereby providing a reference for follow-up research in pathogenesis, diagnosis, prevention and treatment of infectious diseases.

Combined mutagenesis is widely applied for the breeding of robust Yarrowia lipolytica used in the production of erythritol. However, the changes of genome after mutagenesis remains unclear. This study aimed to unravel the mechanism involved in the improved erythritol synthesis of CA20 and the evolutionary relationship between different Y. lipolytica by comparative genomics analysis. The results showed that the genome size of Y. lipolytica CA20 was 20,420,510 bp, with a GC content of 48.97%. There were 6330 CDS and 649 ncRNA (non-coding RNA) in CA20 genome. Average nucleotide identity (ANI) analysis showed that CA20 genome possessed high similarity (ANI > 99.50%) with other Y. lipolytica strains, while phylogenetic analysis displayed that CA20 was classified together with Y. lipolytica IBT 446 and Y. lipolytica H222. CA20 shared 5342 core orthologous genes with the 8 strains while harbored 65 specific genes that mainly participated in the substrate and protein transport processes. CA20 contained 166 genes coding for carbohydrate-active enzymes (CAZymes), which was more than that found in other strains (108－137). Notably, 4, 2, and 13 different enzymes belonging to glycoside hydrolases (GHs), glycosyltransferases (GTs), and carbohydrate esterases (CEs), respectively, were only found in CA20. The enzymes involved in the metabolic pathway of erythritol were highly conserved in Y. lipolytica, except for transaldolase (TAL1). In addition, the titer and productivity of erythritol by CA20 were 190.97 g/L and 1.33 g/L/h, respectively, which were significantly higher than that of WT5 wherein 128.61 g/L and 0.92 g/L/h were obtained (P< 0.001). Five frameshift mutation genes and 15 genes harboring nonsynonymous mutation were found in CA20 compared with that of WT5. Most of these genes were involved in the cell division, cell wall synthesis, protein synthesis, and protein homeostasis maintenance. These findings suggested that the genome of Y. lipolytica is conserved during evolution, and the variance of living environment is one important factor leading to genome divergence. The varied number of CAZymes existed in Y. lipolytica is one factor that contributes to the performance difference. The increased synthesis of erythritol by Y. lipolytica CA20 is correlated with the improvement of the stability of cell structure and internal environment. The results of this study provide a basis for the directional breeding of robust strains used in erythritol production.

Massively parallel reporter assay (MPRA) is a high-throughput analysis method that can simultaneously investigate the activity of thousands of regulatory elements in the genome. MPRA introduces a uniquely identified barcode on a conventional luciferase reporter gene vector, sequences the DNA barcode before transfection and the mRNA barcode after transfection by next-generation sequencing technology, and uses the ratio of mRNA and DNA barcode reads to analyze the activity of cis-regulatory elements. Since MPRA was proposed, it has been widely used in the identification of genomic cis-regulatory elements and functional variants, the effect of post-transcriptional regulation on phenotypes and so on. In this review, we summarize the development history, basic principles, experimental procedures and statistical analysis methods of MPRA, and its applications in post-transcriptional regulation and cis-regulatory elements. It also provides prospects for its development and useful references for researchers in related fields to understand and apply MPRA.

There are abundant base modifications in bacteriophages' genomes, mainly for avoiding the digestion of host endonucleases. More than 40 years ago, researchers discovered that 2-amino-adenine (Z) completely replaced adenine (A) and forms a complementary pairing with three hydrogen bonds with thymine (T) in the DNA of cyanophage S-2L, forming a distinct "Z-genome". In recent years, researchers have discovered and validated the biosynthetic pathway of Z-genome in various bacteriophages, constituting a multi-enzyme system. This system includes the phage-encoded enzymes deoxy-2'-aminoadenylosuccinate synthetase (PurZ), deoxyadenosine triphosphate hydrolase (dATPase/DatZ), deoxyadenosine/deoxyguanosine triphosphate pyrophosphatase (DUF550/MazZ) and DNA polymerase (DpoZ). In this review, we provide a concise overview of the historical discovery on diversely modified nucleosides in bacteriophages, then we comprehensively summarize the research progress on multiple enzymes involved in the Z-genome biosynthetic pathway. Finally, the potential applications of the Z-genome and the enzymes in its biosynthetic pathway are discussed in order to provide reference for research in this field.

The analysis of mixed short tandem repeat (STR) profiles has been long considered as a difficult challenge in the forensic DNA analysis. In the context of China, the current approach to analyze mixed STR profiles depends mostly on forensic manual method. However, besides the inefficiency, this technique is also susceptible to subjective biases in interpreting analysis results, which can hardly meet up with the growing demand for STR profiles analysis. In response, this study introduces an innovative method known as the global minimum residual method, which not only predicts the proportion of each contributor within a mixture, but also delivers accurate analysis results. The global minimum residual method first gives new definitions to the mixture proportion, then optimizes the allele model. After that, it comprehensively considers all loci present in the STR profile, accumulates and sums the residual values of each locus and selects the mixture proportion with the minimum accumulative sum as the inference result. Furthermore, the grey wolf optimizer is also employed to expedite the search for the optimal value. Notably, for two-person STR profiles, the high accuracy and remarkable efficiency of the global minimum residual method can bring convenience to realize extensive STR profile analysis. The optimization scheme established in this research has exhibited exceptional outcomes in practical applications, boasting significant utility and offering an innovative avenue in the realm of mixed STR profile analysis.

This study aimed to assess and compare the performance of different machine learning models in predicting selected pig growth traits and genomic estimated breeding values (GEBV) using automated machine learning, with the goal of optimizing whole-genome evaluation methods in pig breeding. The research employed genomic information, pedigree matrices, fixed effects, and phenotype data from 9968 pigs across multiple companies to derive four optimal machine learning models: deep learning (DL), random forest (RF), gradient boosting machine (GBM), and extreme gradient boosting (XGB). Through 10-fold cross-validation, predictions were made for GEBV and phenotypes of pigs reaching weight milestones (100 kg and 115 kg) with adjustments for backfat and days to weight. The findings indicated that machine learning models exhibited higher accuracy in predicting GEBV compared to phenotypic traits. Notably, GBM demonstrated superior GEBV prediction accuracy, with values of 0.683, 0.710, 0.866, and 0.871 for B100, B115, D100, and D115, respectively, slightly outperforming other methods. In phenotype prediction, GBM emerged as the best-performing model for pigs with B100, B115, D100, and D115 traits, achieving prediction accuracies of 0.547, followed by DL at 0.547, and then XGB with accuracies of 0.672 and 0.670. In terms of model training time, RF required the most time, while GBM and DL fell in between, and XGB demonstrated the shortest training time. In summary, machine learning models obtained through automated techniques exhibited higher GEBV prediction accuracy compared to phenotypic traits. GBM emerged as the overall top performer in terms of prediction accuracy and training time efficiency, while XGB demonstrated the ability to train accurate prediction models within a short timeframe. RF, on the other hand, had longer training times and insufficient accuracy, rendering it unsuitable for predicting pig growth traits and GEBV.

Palmitoyl protein thioesterase 1(PPT1) is a lysosomal enzyme that catalyzes the protein depalmitoylation. It is considered to play a crucial role in regulating lysosomes, mitochondria and lipid metabolism. PPT1 has been reported to play an important role in the occurrence and progression of diseases, such as neurological diseases and cancers. However, the regulatory mechanisms remain unknown. In this review, we summarize the progress of PPT1 function and mechanisms in neurological disorders and cancers, which will provide as reference and guidance for exploring the regulatory mechanisms of PPT1 and developing new drugs for treating related diseases in the future.

Autotetraploid rice is a type of germplasm developed from the whole genome duplication of diploid rice, leading to large grains, high nutrient content, and resistance. However, its low fertility has reduced yield and hampered commercialization. To address this issue, a new type of high fertility tetraploid rice was developed, which may serve as a useful germplasm for polyploid rice breeding. In this review, we summarize the progress made in understanding the cellular and molecular genetic mechanisms underlying the low fertility of autotetraploid rice and its F₁ hybrid, as well as the main types of new tetraploid rice with high fertility. Lastly, the idea of utilizing the multi-generation heterosis of neo-tetraploid rice in the future is proposed as a reference for polyploid rice breeding.