In recent years, adaptive laboratory evolution (ALE) has emerged as a powerful tool for basic research in microbiology (e.g., molecular mechanisms of microbial evolution) and efforts on evolutionary engineering of microbial strains (e.g., accelerated evolution of industrial strains by bringing beneficial mutations). The ongoing rapid development of next-generation sequencing platforms has provided novel insights into growth kinetics and metabolism of microbes, and thus led to great advances of this technique. In this review, we summarize recent advances in the applications of long-term and short-term ALE techniques mainly for microbial strain engineering, and different modes of ALE are also introduced. Furthermore, we discuss the current limitations of ALE and potential solutions. We believe that the information reviewed here will make a significant contribution to further advancement of ALE.
High-Throughput Nucleotide Sequencing ; Laboratories ; Mutation

Objective: To evaluate the impact of the targeted next-generation sequencing (NGS) assay for difficult congenital anemias. Methods: Blood Disease Hospital Anemia Panel 2014 (BDHAP-2014) including 217 known genes of congenital anemias was developed. NGS and parental verification were performed for patients who were suspected diagnosed with congenital anaemia from August 2014 to July 2017. Results: A total of 46 patients were enrolled in this study, the clinical suspection were 11 cases Fanconi anemia (FA), 8 cases congenital dyserythropoietic anemia (CDA), 6 cases congenital sideroblast anemia (CSA), 12 cases congenital hemolytic anemia (CHA), 1 case dyskeratosis congenital (DC), 4 cases iron-refractory iron deficiency anemia and 4 cases unexplained cytopenia (Uc), respectively. 28 (60.9%) of 46 patients became confirmed cases after targeted NGS, corresponding to 44 mutations of which 33 were new. 26(56.5%) patients with results of the assay matching to clinical suspection, including FA (5/11, 45.5%), CSA (6/6, 100.0%), CDA (3/8, 37.5%) and CHA (12/12, 100.0%). 2 (4.3%) cases not matching to clinical suspection, including dyskeratosis congenital (DC) was made in 1(2.2%) patients with suspected FA and familial hemophagocytic lymphohistiocytosis (FHL) was made in 1(2.2%) patients with suspected unexplained cytopenia (Uc). In 12 CHA patients, the hemolytic type was further clarified by the NGS. The remaining 18 cases were not clearly diagnosed. Conclusion: Targeted NGS assay is of major impact on congenital anemias. The assay should be used routinely in congenital anemias.
Anemia ; High-Throughput Nucleotide Sequencing ; Humans

The development of high-throughput sequencing techniques enabled a deeper and more comprehensive understanding of environmental microbiology. Specifically, the third-generation sequencing techniques represented by nanopore sequencing have greatly promoted the development of environmental microbiology research due to its advantages such as long sequencing reads, fast sequencing speed, real-time monitoring of sequencing data, and convenient machine carrying, as well as no GC bias and no PCR amplification requirement. This review briefly summarized the technical principle and characteristics of nanopore sequencing, followed by discussing the application of nanopore sequencing techniques in the amplicon sequencing, metagenome sequencing and whole genome sequencing of environmental microorganisms. The advantages and challenges of nanopore sequencing in the application of environmental microbiology research were also analyzed.
Environmental Microbiology ; High-Throughput Nucleotide Sequencing ; Metagenome ; Nanopore Sequencing ; Nanopores

The 16S rRNA gene is the most commonly used molecular marker for identifying microorganisms. It is used in sequencing technology, including the first-generation, the second-generation, and the third-generation sequencing technology. A large number of studies on the 16S rRNA gene have contributed to a deeper understanding of oral microbial diversity. In the healthy oral cavity, there is microbial diversity in time and space. With the occurrence or development of oral diseases such as caries, periodontal disease, or halitosis, the microbial diversity will be changed.
High-Throughput Nucleotide Sequencing ; Mouth ; RNA, Ribosomal, 16S ; genetics

To explore the diversity of bacterial community structure between different layers of agarwood, Hiseq(high-throughput sequencing) was used to analyze the bacterial community structure of samples from different layers of agarwood. Our results showed that 1 150 096 optimized sequences and 9 690 OTUs were obtained from 15 samples of 5 layers of agarwood, which belonged to 28 bacterial phyla, 61 classes, 110 orders, 212 families and 384 genera. Further analysis revealed that the normal layer(NL) had the lowest bacterial species richness and the smallest number of OTUs. And the total number of OTUs of the agarwood layer(AL) and NL was zero, which was quite different.At the same time, there were significant differences in bacterial community structure and species diversity between NL and the other four layers. While there were some common dominant bacterial genera in both transition layer(TL) and NL. The similarity of bacterial distribution in 4 non-NL layers was relatively high, which had four common genera, such as Acidibacter, Bradyrhizobium, Acidothemus and Sphingomonas. While Acidibacter, Bradyrhizobium and Acidothemus were the dominant bacterial genus of DA and AL, and all of these layers contained volatile oil. In addition, the Bradyrhizobium was the most abundant in agarwood layer. Our results showed that bacterial community diversity and abundance were decreasing from DL to AL, and different layers showed significant differences in bacterial enrichment. It provided the clues to investigate how bacteria participate in the formation of agarwood.
Bacteria ; High-Throughput Nucleotide Sequencing ; Oils, Volatile ; Thymelaeaceae ; genetics

Bronchoscopy ; High-Throughput Nucleotide Sequencing ; Humans ; Lung ; Lung Neoplasms ; Metagenomics

The research on endophytes of medicinal plants mainly relies on the traditional culture and isolation methods. Because of their functions such as promoting host growth, improving stress resistance, promoting the accumulation of medicinal active ingredients or directly producing medicinal active ingredients, the endophytes of medicinal plants have gradually attracted wide attention. However, it was found that the strains isolated by traditional methods were not the true dominant endophytes of medicinal plants by comparing the results of traditional culture isolation with high-throughput sequencing. The blind and random nature of traditional methods leads to the lack of standards in terms of medium selection, culture time and interaction between species. On the contrary, high-throughput sequencing technology is an emerging molecular biology technology developed in recent decades. Due to its high resolution level and indepen-dent culture, it can be used for thorough analysis of the community structure and diversity of environmental microorganisms. Therefore, we proposed the strategy of using high-throughput sequencing technology to guide the traditional culture and isolation of endophytes from medicinal plants. Firstly, the endophytic structure and diversity of medicinal plants were completely clear by high-throughput sequencing technology, and the dominant endophytes of the host were unequivocal. Then according to the characteristics of each dominant endophytes design or query suitable medium for its growth to culture and isolation. Finally, the function of the isolates was studied. This method can prevent researchers from missing out on the important functional strains of the host, expand the research scope of endophytes of medicinal plants, and facilitate the in-depth excavation and utilization of endophytes of medicinal plants.
Endophytes/genetics* ; High-Throughput Nucleotide Sequencing ; Plants, Medicinal ; Research Design

BRCA1 Protein ; BRCA2 Protein ; High-Throughput Nucleotide Sequencing

PURPOSE: Transition to next generation sequencing (NGS) for BRCA1/BRCA2 analysis in clinical laboratories is ongoing but different platforms and/or data analysis pipelines give different results resulting in difficulties in implementation. We have evaluated the Ion Personal Genome Machine (PGM) Platforms (Ion PGM, Ion PGM Dx, Thermo Fisher Scientific) for the analysis of BRCA1/2. MATERIALS AND METHODS: The results of Ion PGM with OTG-snpcaller, a pipeline based on Torrent mapping alignment program and Genome Analysis Toolkit, from 75 clinical samples and 14 reference DNA samples were compared with Sanger sequencing for BRCA1/BRCA2. Ten clinical samples and 14 reference DNA samples were additionally sequenced by Ion PGM Dx with Torrent Suite. RESULTS: Fifty types of variants including 18 pathogenic or variants of unknown significance were identified from 75 clinical samples and known variants of the reference samples were confirmed by Sanger sequencing and/or NGS. One false-negative results were present for Ion PGM/OTG-snpcaller for an indel variant misidentified as a single nucleotide variant. However, eight discordant results were present for Ion PGM Dx/Torrent Suite with both false-positive and -negative results. A 40-bp deletion, a 4-bp deletion and a 1-bp deletion variant was not called and a false-positive deletion was identified. Four other variants were misidentified as another variant. CONCLUSION: Ion PGM/OTG-snpcaller showed acceptable performance with good concordance with Sanger sequencing. However, Ion PGM Dx/Torrent Suite showed many discrepant results not suitable for use in a clinical laboratory, requiring further optimization of the data analysis for calling variants.
DNA ; Genome ; High-Throughput Nucleotide Sequencing ; Humans ; Statistics as Topic

Next generation sequencing (NGS), a high-throughput DNA sequencing technology, is widely used for molecular biological studies. In NGS, RNA-sequencing (RNA-Seq), which is a short-read massively parallel sequencing, is a major quantitative transcriptome tool for different transcriptome studies. To utilize the RNA-Seq data, various quantification and analysis methods have been developed to solve specific research goals, including identification of differentially expressed genes and detection of novel transcripts. Because of the accumulation of RNA-Seq data in the public databases, there is a demand for integrative analysis. However, the available RNA-Seq data are stored in different formats such as read count, transcripts per million, and fragments per kilobase million. This hinders the integrative analysis of the RNA-Seq data. To solve this problem, we have developed a web-based application using Shiny, COEX-seq (Convert a Variety of Measurements of Gene Expression in RNA-Seq) that easily converts data in a variety of measurement formats of gene expression used in most bioinformatic tools for RNA-Seq. It provides a workflow that includes loading data set, selecting measurement formats of gene expression, and identifying gene names. COEX-seq is freely available for academic purposes and can be run on Windows, Mac OS, and Linux operating systems. Source code, sample data sets, and supplementary documentation are available as well.
Computational Biology ; Dataset ; Gene Expression ; High-Throughput Nucleotide Sequencing ; Transcriptome