Combined Study of Gene Expression and Chromosome Three-Dimensional Structure in Escherichia coli During Growth Process.

The chromosome structure of different bacteria has its unique organization pattern, which plays an important role in maintaining the spatial location relationship between genes and regulating gene expression. Conversely, transcription also plays a global role in regulating the three-dimensional structure of bacterial chromosomes. Therefore, we combine RNA-Seq and Hi-C technology to explore the relationship between chromosome structure changes and transcriptional regulation in E. coli at different growth stages. Transcriptome analysis indicates that E. coli synthesizes many ribosomes and peptidoglycan in the exponential phase. In contrast, E. coli undergoes more transcriptional regulation and catabolism during the stationary phase, reflecting its adaptability to changes in environmental conditions during growth. Analyzing the Hi-C data shows that E. coli has a higher frequency of global chromosomal interaction in the exponential phase and more defined chromosomal interaction domains (CIDs). Still, the long-distance interactions at the replication termination region are lower than in the stationary phase. Combining transcriptome and Hi-C data analysis, we conclude that highly expressed genes are more likely to be distributed in CID boundary regions during the exponential phase. At the same time, most high-expression genes distributed in the CID boundary regions are ribosomal gene clusters, forming clearer CID boundaries during the exponential phase. The three-dimensional structure of chromosome and expression pattern is altered during the growth of E. coli from the exponential phase to the stationary phase, clarifying the synergy between the two regulatory aspects.

T2T-YAO: A Telomere-to-telomere Assembled Diploid Reference Genome for Han Chinese.

Since its initial release in 2001, the human reference genome has undergone continuous improvement in quality, and the recently released telomere-to-telomere (T2T) version - T2T-CHM13 - reaches its highest level of continuity and accuracy after 20 years of effort by working on a simplified, nearly homozygous genome of a hydatidiform mole cell line. Here, to provide an authentic complete diploid human genome reference for the Han Chinese, the largest population in the world, we assembled the genome of a male Han Chinese individual, T2T-YAO, which includes T2T assemblies of all the 22 + X + M and 22 + Y chromosomes in both haploid. The quality of T2T-YAO is much better than all currently available diploid assemblies, and its haploid version, T2T-YAO-hp, generated by selecting the better assembly for each autosome, reaches the top quality of fewer than one error per 29.5 Mb, even higher than that of T2T-CHM13. Derived from an individual living in the aboriginal region of the Han population, T2T-YAO shows clear ancestry and potential genetic continuity from the ancient ancestors. Each haplotype of T2T-YAO possesses ∼ 330-Mb exclusive sequences, ∼ 3100 unique genes, and tens of thousands of nucleotide and structural variations as compared with CHM13, highlighting the necessity of a population-stratified reference genome. The construction of T2T-YAO, a truly accurate and authentic representative of the Chinese population, would enable precise delineation of genomic variations and advance our understandings in the hereditability of diseases and phenotypes, especially within the context of the unique variations of the Chinese population.

Intestinal butyrate-metabolizing species contribute to autoantibody production and bone erosion in rheumatoid arthritis.

The imbalance between pathogenic and beneficial species of the intestinal microbiome and metabolism in rheumatoid arthritis (RA) remains unclarified. Here, using shotgun-based metagenome sequencing for a treatment-naïve patient cohort and a "quasi-paired cohort" method, we observed a deficiency of butyrate-producing species and an overwhelming number of butyrate consumers in RA patients. These outcomes mainly occurred in patients with positive ACPA, with a mean AUC of 0.94. This panel was also validated in established RA with an AUC of 0.986 in those with joint deformity. In addition, we showed that butyrate promoted Tregs, while suppressing Tconvs and osteoclasts, due to potentiation of the reduction in HDAC expression and down-regulation of proinflammatory cytokine genes. Dietary butyrate supplementation conferred anti-inflammatory benefits in a mouse model by rebalancing TFH cells and Tregs, as well as reducing antibody production. These findings reveal the critical role of butyrate-metabolizing species and suggest the potential of butyrate-based therapies for RA patients.

Enhanced intestinal protein fermentation in schizophrenia.

BACKGROUND: Emerging findings highlighted the associations of mental illness to nutrition and dysbiosis in the intestinal microbiota, but the underlying mechanisms, especially in schizophrenia (SZ), remain unclarified. METHODS: We conducted a case-control study of SZ patients (case to control=100:52) by performing sequencing of the gut metagenome; measurement of fecal and plasma non-targeted metabolome; including short-, medium-, and long-chain fatty acids; and targeted metabolites, along with recorded details of daily intakes of food. RESULTS: The metagenome analysis uncovered enrichment of asaccharolytic species and reduced abundance of carbohydrate catabolism pathways and enzymes in the gut of SZ patients, but increased abundance of peptidases in contrast to their significantly reduced protein intake. Fecal metabolome analysis identified increased concentrations of many protein catabolism products, including amino acids (AAs), urea, branched short-chain fatty acids, and various nitrogenous derivates of aromatic AAs in SZ patients. Protein synthesis, represented by the abundance of AA-biosynthesis pathways and aminoacyl-tRNA transferases in metagenome, was significantly decreased. The AUCs (area under the curve) of the diagnostic random forest models based on their abundance achieved 85% and 91%, respectively. The fecal levels of AA-fermentative enzymes and products uniformly showed positive correlations with the severity of psychiatric symptoms. CONCLUSIONS: Our findings revealed apparent dysbiosis in the intestinal microbiome of SZ patients, where microbial metabolism is dominated by protein fermentation and shift from carbohydrate fermentation and protein synthesis in healthy conditions. The aberrant macronutrient metabolism by gut microbes highlights the importance of nutrition care and the potential for developing microbiota-targeted therapeutics in SZ.

Gut lactate-producing bacteria promote CD4 T cell recovery on Anti-retroviral therapy in HIV-infected patients.

Anti-retroviral therapy (ART) effectively suppresses viral replication in HIV-infected patients, however CD4 + cell restoration to normal value is not achieved by 15-20% of patients who are called immune non-responders. Gut microbiota composition has been shown to influence host immunity. Herein, to identify intestinal microbial agents that may influence the CD4 recovery in HIV-infected patients, we utilized a "Quasi-paired cohort" method to analyze intestinal metagenome data from immunological responders (IRs) and immunological non-responders (INRs). This method identified significant enrichment for Streptococcus sp. and related lactate-producing bacteria (LAB) in IRs. In a validation cohort, positive correlations between the abundance of these LAB and the post-ART CD4 + recovery was observed, and a prediction model based on these LAB performed well in predicting immune recovery. Finally, experiments using a germ-free mouse model of antibody-induced CD4 + cell depletion showed that supplementation with a lactate-producing commensal Streptococcus thermophilus strongly promoted CD4 recovery. In conclusion, our study identified a group of LAB that was associated with enhanced immune recovery in post-ART HIV-infected patients and promotes CD4 + cell restoration in a mouse model. These findings favour supplementation of LAB commensal as a therapeutic strategy for CD4 + cell count improvement in HIV-infected patients.

Roles of host small RNAs in the evolution and host tropism of coronaviruses.

Human coronaviruses (CoVs) can cause respiratory infection epidemics that sometimes expand into globally relevant pandemics. All human CoVs have sister strains isolated from animal hosts and seem to have an animal origin, yet the process of host jumping is largely unknown. RNA interference (RNAi) is an ancient mechanism in many eukaryotes to defend against viral infections through the hybridization of host endogenous small RNAs (miRNAs) with target sites in invading RNAs. Here, we developed a method to identify potential RNAi-sensitive sites in the viral genome and discovered that human-adapted coronavirus strains had deleted some of their sites targeted by miRNAs in human lungs when compared to their close zoonic relatives. We further confirmed using a phylogenetic analysis that the loss of RNAi-sensitive target sites could be a major driver of the host-jumping process, and adaptive mutations that lead to the loss-of-target might be as simple as point mutation. Up-to-date genomic data of severe acute respiratory syndrome coronavirus 2 and Middle-East respiratory syndromes-CoV strains demonstrate that the stress from host miRNA milieus sustained even after their epidemics in humans. Thus, this study illustrates a new mechanism about coronavirus to explain its host-jumping process and provides a novel avenue for pathogenesis research, epidemiological modeling, and development of drugs and vaccines against coronavirus, taking into consideration these findings.

The bacterial RNA ligase RtcB accelerates the repair process of fragmented rRNA upon releasing the antibiotic stress.

RtcB, a highly conserved RNA ligase, is found in all three domains of life, and demonstrated to be an essential tRNA splicing component in archaea and metazoans. However, the biological functions of RtcB in bacteria, where there is no splicing, remains to be clarified. We first performed bioinformatics analysis which revealed highly conserved structures and presumably conserved functions of RtcB in bacteria. However, its orthologs only occur in ∼ 0.5% of bacterial species across diverse phyla with significant signals of frequent horizontal transfer, highlighting its non-essential role in bacteria. Next, by constructing an rtcB-knockout strain, we find that the removal of antibiotic stress induces a significant impact on rtcB expression in wild-type strain, and furthermore the depletion of RtcB (ARtcB strain) delays the recovery process. Our transcriptomic analysis, comprising the 3'-end labeling of RNAs, highlights a significant increase in unmapped reads and cleaved rRNAs in the Δ RtcB strain, particularly during recovery. Our observations suggest that the conserved RNA ligase RtcB, repairs damaged rRNAs following stress, which potentially saves energy and accelerates recovery of its host. We propose that acquisition of RtcB by diverse bacterial taxa provides a competitive advantage under stressful conditions.

Microfluidics-Based Enrichment and Whole-Genome Amplification Enable Strain-Level Resolution for Airway Metagenomics.

Dysbiosis of airway microbiomes has been found in various respiratory diseases, but its molecular details in terms of taxonomic profile, metabolic characteristics, defensive function, and inhabit adaption are far from clear. Shotgun metagenome sequencing provides detailed information for microbes, whereas its application is rather limited in airways due to host DNA contaminants that overwhelm a minute amount of microbial content. Here, we describe a microfluidics-based enrichment device and an emulsion-based whole-genome amplification procedure (MEEA) for the preparation of DNA from sputa for shotgun sequencing in a metagenomics study. The two protocols coupled in MEEA are first separately assayed with mock samples and are both promising in efficiency and bias. The efficiency and consistency of MEEA are further evaluated in six clinical sputum samples against direct sequencing without enrichment, and MEEA enables 2 to 14 times enrichment for microbial reads, which take 14.68% to 33.52% of total reads. The dominant pathogens detected in MEEA are in excellent agreement with those from clinical etiological tests. Meanwhile, MEEA presents much more microbiome complexity and genome information at a strain level than direct sequencing, exhibiting high sensitivity for identifying prophages and DNA viruses. MEEA provides better microbiome profiling than direct sequencing without a preference for specific microorganisms. The more detailed functional and taxonomic characterization of their species constituents, including both bacterium and virus, facilitates metagenomics studies on the pathogenesis of respiratory microbiomes.IMPORTANCE The airway microbial community, which takes important pathogenic roles for respiratory diseases, is far from clear in terms of taxonomy and gene functions. One of the critical reasons is the heavy contamination of host cell/DNA in airway samples, which hinders the subsequent sequencing of the whole genomic contents of the microbial community-the metagenome. Here, we describe a protocol for airway sample preparation which couples a microbe enrichment microfluidic device and a DNA amplification method performed in numerous droplets. When evaluated with mock and clinical sputum samples, the microfluidics-based enrichment device and emulsion-based whole-genome amplification (MEEA) procedure efficiently removes host cells, amplifies the microbial genome, and shows no obvious bias among microbes. The efficiency of MEEA makes it a promising method in research of respiratory microbial communities and their roles in diseases.

Streamline-based purification of bacterial samples from liquefied sputum utilizing microfluidics.

The separation or purification of bacterial samples from a mixed cell suspension is critical in a variety of biomedical applications, such as sputum diagnostics and cell biology studies. We propose a streamline-based microfluidic filtration device for highly efficient purification of bacterial samples from a mixed cell suspension. The device is composed of tens of repeated streamline-based separation units that continuously filter the solution. By injecting a liquid sample such as liquefied human sputum solution through the device, approximately 50% of the injected sample solution can be collected from the filtration collection channels, which filter approximately 99.9% of the mammalian cells but retain approximately 60% to 90% of the bacteria. Different injection rates (0.2 ml h-1 to 30 ml h-1), different sample viscosities, and different initial bacterial densities were tested and confirmed that our separation method was robust. The easy operation, robustness and high efficiency indicate that our method may be useful for the separation or purification of bacterial samples from a mixed cell suspension, such as bacterial samples for sputum diagnostics.

Genome sequence and genetic diversity of the common carp, Cyprinus carpio.

The common carp, Cyprinus carpio, is one of the most important cyprinid species and globally accounts for 10% of freshwater aquaculture production. Here we present a draft genome of domesticated C. carpio (strain Songpu), whose current assembly contains 52,610 protein-coding genes and approximately 92.3% coverage of its paleotetraploidized genome (2n = 100). The latest round of whole-genome duplication has been estimated to have occurred approximately 8.2 million years ago. Genome resequencing of 33 representative individuals from worldwide populations demonstrates a single origin for C. carpio in 2 subspecies (C. carpio Haematopterus and C. carpio carpio). Integrative genomic and transcriptomic analyses were used to identify loci potentially associated with traits including scaling patterns and skin color. In combination with the high-resolution genetic map, the draft genome paves the way for better molecular studies and improved genome-assisted breeding of C. carpio and other closely related species.

[Heterogeneity of human breast cancer cells and their biological behavior].

OBJECTIVE: To investigate the heterogeneity of human breast cancer cells, their influence on biological behavior of tumor cells and clinical implications. METHODS: The subpopulations of MCF-7 breast cancer cells were isolated by Percoll gradient centrifugation. DNA content and cell cycle distribution were detected with flow cytometry. Tumor chemosensitivity analysis was performed with MTT assay. RESULTS: Heterogeneity was observed in DNA content and cell cycle distribution among four subpopulations of breast cancer cells, which were related to their proliferation ability and chemosensitivity results. CONCLUSION: Hereditary instability and intrinsic characteristics of most tumor cells, not only lead to tumor progression and heterogeneity but also cause the loss of monoclonality and the generation of subclones. Further study on some profiles of tumor heterogeneity such as DNA content, cell cycle distribution and their influence on tumor proliferation and chemosensitivity may very well improve the clinical treatment.