Lufeng Ren

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.

A pyrosequencing-based metagenomic study of methane-producing microbial community in solid-state biogas reactor

BackgroundA solid-state anaerobic digestion method is used to produce biogas from various solid wastes in China but the efficiency of methane production requires constant improvement. The diversity and abundance of relevant microorganisms play important roles in methanogenesis of biomass. The next-generation high-throughput pyrosequencing platform (Roche/454 GS FLX Titanium) provides a powerful tool for the discovery of novel microbes within the biogas-generating microbial communities.ResultsTo improve the power of our metagenomic analysis, we first evaluated five different protocols for extracting total DNA from biogas-producing mesophilic solid-state fermentation materials and then chose two high-quality protocols for a full-scale analysis. The characterization of both sequencing reads and assembled contigs revealed that the most prevalent microbes of the fermentation materials are derived from Clostridiales (Firmicutes), which contribute to degrading both protein and cellulose. Other important bacterial species for decomposing fat and carbohydrate are Bacilli, Gammaproteobacteria, and Bacteroidetes (belonging to Firmicutes, Proteobacteria, and Bacteroidetes, respectively). The dominant bacterial species are from six genera: Clostridium, Aminobacterium, Psychrobacter, Anaerococcus, Syntrophomonas, and Bacteroides. Among them, abundant Psychrobacter species, which produce low temperature-adaptive lipases, and Anaerococcus species, which have weak fermentation capabilities, were identified for the first time in biogas fermentation. Archaea, represented by genera Methanosarcina, Methanosaeta and Methanoculleus of Euryarchaeota, constitute only a small fraction of the entire microbial community. The most abundant archaeal species include Methanosarcina barkeri fusaro, Methanoculleus marisnigri JR1, and Methanosaeta theromphila, and all are involved in both acetotrophic and hydrogenotrophic methanogenesis.ConclusionsThe identification of new bacterial genera and species involved in biogas production provides insights into novel designs of solid-state fermentation under mesophilic or low-temperature conditions.

The next-generation sequencing technology and application

As one of the key technologies in biomedical research, DNA sequencing has not only improved its productivity with an exponential growth rate but also been applied to new areas of application over the past few years. This is largely due to the advent of newer generations of sequencing platforms, offering ever-faster and cheaper ways to analyze sequences. In our previous review, we looked into technical characteristics of the next-generation sequencers and provided prospective insights into their future development. In this article, we present a brief overview of the advantages and shortcomings of key commercially available platforms with a focus on their suitability for a broad range of applications.

The next-generation sequencing technology: A technology review and future perspective

As one of the most powerful tools in biomedical research, DNA sequencing not only has been improving its productivity in an exponential growth rate but also been evolving into a new layout of technological territories toward engineering and physical disciplines over the past three decades. In this technical review, we look into technical characteristics of the next-gen sequencers and provide prospective insights into their future development and applications. We envisage that some of the emerging platforms are capable of supporting the

Heteroresistance at the Single-Cell Level: Adapting to Antibiotic Stress through a Population-Based Strategy and Growth-Controlled Interphenotypic Coordination

1000 genome and

Drug delivery property, antibacterial performance and cytocompatibility of gentamicin loaded poly(lactic-co-glycolic acid) coating on porous magnesium scaffold

100 genome goals if given a few years for technical maturation. We also suggest that scientists from China should play an active role in this campaign that will have profound impact on both scientific research and societal healthcare systems.

Transcriptome-wide evolutionary analysis on essential brown algae(Phaeophyceae)in China

ABSTRACT Heteroresistance refers to phenotypic heterogeneity of microbial clonal populations under antibiotic stress, and it has been thought to be an allocation of a subset of “resistant” cells for surviving in higher concentrations of antibiotic. The assumption fits the so-called bet-hedging strategy, where a bacterial population “hedges” its “bet” on different phenotypes to be selected by unpredicted environment stresses. To test this hypothesis, we constructed a heteroresistance model by introducing a blaCTX-M-14 gene (coding for a cephalosporin hydrolase) into a sensitive Escherichia coli strain. We confirmed heteroresistance in this clone and that a subset of the cells expressed more hydrolase and formed more colonies in the presence of ceftriaxone (exhibited stronger “resistance”). However, subsequent single-cell-level investigation by using a microfluidic device showed that a subset of cells with a distinguishable phenotype of slowed growth and intensified hydrolase expression emerged, and they were not positively selected but increased their proportion in the population with ascending antibiotic concentrations. Therefore, heteroresistance—the gradually decreased colony-forming capability in the presence of antibiotic—was a result of a decreased growth rate rather than of selection for resistant cells. Using a mock strain without the resistance gene, we further demonstrated the existence of two nested growth-centric feedback loops that control the expression of the hydrolase and maximize population growth in various antibiotic concentrations. In conclusion, phenotypic heterogeneity is a population-based strategy beneficial for bacterial survival and propagation through task allocation and interphenotypic collaboration, and the growth rate provides a critical control for the expression of stress-related genes and an essential mechanism in responding to environmental stresses. IMPORTANCE Heteroresistance is essentially phenotypic heterogeneity, where a population-based strategy is thought to be at work, being assumed to be variable cell-to-cell resistance to be selected under antibiotic stress. Exact mechanisms of heteroresistance and its roles in adaptation to antibiotic stress have yet to be fully understood at the molecular and single-cell levels. In our study, we have not been able to detect any apparent subset of “resistant” cells selected by antibiotics; on the contrary, cell populations differentiate into phenotypic subsets with variable growth statuses and hydrolase expression. The growth rate appears to be sensitive to stress intensity and plays a key role in controlling hydrolase expression at both the bulk population and single-cell levels. We have shown here, for the first time, that phenotypic heterogeneity can be beneficial to a growing bacterial population through task allocation and interphenotypic collaboration other than partitioning cells into different categories of selective advantage. Heteroresistance is essentially phenotypic heterogeneity, where a population-based strategy is thought to be at work, being assumed to be variable cell-to-cell resistance to be selected under antibiotic stress. Exact mechanisms of heteroresistance and its roles in adaptation to antibiotic stress have yet to be fully understood at the molecular and single-cell levels. In our study, we have not been able to detect any apparent subset of “resistant” cells selected by antibiotics; on the contrary, cell populations differentiate into phenotypic subsets with variable growth statuses and hydrolase expression. The growth rate appears to be sensitive to stress intensity and plays a key role in controlling hydrolase expression at both the bulk population and single-cell levels. We have shown here, for the first time, that phenotypic heterogeneity can be beneficial to a growing bacterial population through task allocation and interphenotypic collaboration other than partitioning cells into different categories of selective advantage.

Complete Genome Sequence of Marinobacter sp. BSs20148.

Abstract Implant associated infection remains a difficult medical problem in orthopaedic surgery. Here, we report on the fabrication of gentamicin loaded poly(lactic-co-glycolic acid) (PLGA) coating on porous magnesium scaffold (Gent-PLGA-Mg) for use as a type of controlled antibiotic delivery system bone scaffolds to achieve the sustained release of antibiotics in the local sites of bone defects. The drug loaded PLGA coating of Mg scaffold enable higher drug loading efficiency (28–33%) than non-coating gentamicin loaded Mg scaffold (Gent-Mg) (2–3%). The Gent-PLGA-Mg exhibited sustained drug release for more than 14 days, and this controlled release of gentamicin significantly inhibited bacterial adhesion and prevented biofilm formation by Staphylococcus aureus (ATCC25923) and Staphylococcus epidermidis (ATCC35984). Biocompatibility tests with human bone marrow stromal cells indicated that PLGA-Mg had better biocompatibility than Mg. Therefore, Gent-PLGA-Mg is potential to be used as a controlled drug delivery system bone scaffolds to prevent and/or treat orthopaedic peri-implant infections.

A complete genome assembly of Glaciecola mesophila sp. nov. sequenced by using BIGIS-4 sequencer system

Brown algae (Chromista, Ochrophyta, Phaeophyceae) are a large group of multicellular algae that play important roles in the ocean’s ecosystem and biodiversity. However, poor molecular bases for studying their phylogenetic evolutions and novel metabolic characteristics have hampered progress in the field. In this study, we sequenced the de novo transcriptome of 18 major species of brown algae in China, covering six orders and seven families, using the high-throughput sequencing platform Illumina HiSeq 2000. From the transcriptome data of these 18 species and publicly available genome data of Ectocarpus siliculosus and Phaeodactylum tricornutum, we identified 108 nuclear-generated orthologous genes and clarified the phylogenetic relationships among these brown algae based on a multigene method. These brown algae could be separated into two clades: Clade Ishigeales-Dictyotales and Clade Ectocarpales-Laminariales-Desmarestiale-Fucales. The former was at the base of the phylogenetic tree, indicating its early divergence, while the latter was divided into two branches, with Order Fucales diverging from Orders Ectocarpales, Laminariales, and Desmarestiale. In our analysis of taxonomy-contentious species, Sargassum fusiforme and Saccharina sculpera were found to be closely related to genera Sargassum and Saccharina, respectively, while Petalonia fascia showed possible relation to genus Scytosiphon. The study provided molecular evidence for the phylogenetic taxonomy of brown algae.

Comparative analysis of four essential Gracilariaceae species in China based on whole transcriptomic sequencing

ABSTRACT Marinobacter sp. BSs20148 was isolated from marine sediment collected from the Arctic Ocean at a water depth of 3,800 m. Here we report the complete genome sequence of Marinobacter sp. BSs20148. This genomic information will facilitate the study of the physiological metabolism, ecological roles, and evolution of the Marinobacter species.