Stepwise identification of potent antimicrobial peptides from human genome

The increasing incidence of hospital acquired infections caused by antibiotic resistant pathogens has led to an increase in morbidity and mortality, finding alternative antibiotics unaffected by resistance mechanisms is fundamentally important for treating this problem. Naturally occurring proteins usually carry short peptide fragments that exhibit noticeable biological activity against a wide variety of microorganisms such as bacteria, fungi and protozoa. Traditional discovery of such antimicrobially active fragments (i.e. antimicrobial peptides, AMPs) from protein repertoire is either random or led by chance. Here, we report the use of a rational protocol that combines in silico prediction and in vitro assay to identify potential AMPs with high activity and low toxicity from the entire human genome. In the procedure, a three-step inference strategy is first proposed to perform genome-wide analysis to infer AMPs in a high-throughput manner. By employing this strategy we are able to screen more than one million peptide candidates generated from various human proteins, from which we identify four highly promising samples, and subsequently their antibacterial activity on five strains as well as cytotoxicity on human myoblasts are tested experimentally. As a consequence, two high-activity, low-toxicity peptides are discovered, which could be used as the structural basis to further develop new antibiotics. In addition, from 1491 known AMPs we also derive a quantitative measure called antibacterial propensity index (API) for 20 naturally occurring amino acids, which shows a significant allometric correlation with the theoretical minimal inhibitory concentration of putative peptides against Gram-positive and Gram-negative bacteria. This study may provide a proof-of-concept paradigm for the genome-wide discovery of novel antimicrobial peptides by using a combination of in silico and in vitro analyses.     

Comparing methods for metabolic network analysis and an application to metabolic engineering

Bioinformatics tools have facilitated the reconstruction and analysis of cellular metabolism of various organisms based on information encoded in their genomes. Characterization of cellular metabolism is useful to understand the phenotypic capabilities of these organisms. It has been done quantitatively through the analysis of pathway operations. There are several in silico approaches for analyzing metabolic networks, including structural and stoichiometric analysis, metabolic flux analysis, metabolic control analysis, and several kinetic modeling based analyses. They can serve as a virtual laboratory to give insights into basic principles of cellular functions. This article summarizes the progress and advances in software and algorithm development for metabolic network analysis, along with their applications relevant to cellular physiology, and metabolic engineering with an emphasis on microbial strain optimization. Moreover, it provides a detailed comparative analysis of existing approaches under different categories.     

Gene Re-annotation in Genome of the Extremophile Pyrobaculum Aerophilum by Using Bioinformatics Methods

Abstract

In this paper, we re-annotated the genome of Pyrobaculum aerophilum str. IM2, particularly for hypothetical ORFs. The annotation process includes three parts. Firstly and most importantly, 23 new genes, which were missed in the original annotation, are found by combining similarity search and the ab initio gene finding approaches. Among these new genes, five have significant similarities with function-known genes and the rest have significant similarities with hypothetical ORFs contained in other genomes. Secondly, the coding potentials of the 1645 hypothetical ORFs are re-predicted by using 33 Z curve variables combined with Fisher linear discrimination method. With the accuracy being 99.68%, 25 originally annotated hypothetical ORFs are recognized as non-coding by our method. Thirdly, 80 hypothetical ORFs are assigned with potential functions by using similarity search with BLAST program. Re-annotation of the genome will benefit related researches on this hyperthermophilic crenarchaeon. Also, the re-annotation procedure could be taken as a reference for other archaeal genomes. Details of the revised annotation are freely available at http://cobi.uestc.edu.cn/resource/paero/     

An Unbiased Approach to Identifying Tau Kinases That Phosphorylate Tau at Sites Associated with Alzheimer Disease

Neurofibrillary tangles, one of the hallmarks of Alzheimer disease (AD), are composed of paired helical filaments of abnormally hyperphosphorylated tau. The accumulation of these proteinaceous aggregates in AD correlates with synaptic loss and severity of dementia. Identifying the kinases involved in the pathological phosphorylation of tau may identify novel targets for AD. We used an unbiased approach to study the effect of 352 human kinases on their ability to phosphorylate tau at epitopes associated with AD. The kinases were overexpressed together with the longest form of human tau in human neuroblastoma cells. Levels of total and phosphorylated tau (epitopes Ser(P)-202, Thr(P)-231, Ser(P)-235, and Ser(P)-396/404) were measured in cell lysates using AlphaScreen assays. GSK3α, GSK3β, and MAPK13 were found to be the most active tau kinases, phosphorylating tau at all four epitopes. We further dissected the effects of GSK3α and GSK3β using pharmacological and genetic tools in hTau primary cortical neurons. Pathway analysis of the kinases identified in the screen suggested mechanisms for regulation of total tau levels and tau phosphorylation; for example, kinases that affect total tau levels do so by inhibition or activation of translation. A network fishing approach with the kinase hits identified other key molecules putatively involved in tau phosphorylation pathways, including the G-protein signaling through the Ras family of GTPases (MAPK family) pathway. The findings identify novel tau kinases and novel pathways that may be relevant for AD and other tauopathies.     

Forward Genetics by Genome Sequencing Reveals That Rapid Cyanide Release Deters Insect Herbivory of Sorghum bicolor

Whole genome sequencing has allowed rapid progress in the application of forward genetics in model species. In this study, we demonstrated an application of next-generation sequencing for forward genetics in a complex crop genome. We sequenced an ethyl methanesulfonate-induced mutant of Sorghum bicolor defective in hydrogen cyanide release and identified the causal mutation. A workflow identified the causal polymorphism relative to the reference BTx623 genome by integrating data from single nucleotide polymorphism identification, prior information about candidate gene(s) implicated in cyanogenesis, mutation spectra, and polymorphisms likely to affect phenotypic changes. A point mutation resulting in a premature stop codon in the coding sequence of dhurrinase2, which encodes a protein involved in the dhurrin catabolic pathway, was responsible for the acyanogenic phenotype. Cyanogenic glucosides are not cyanogenic compounds but their cyanohydrins derivatives do release cyanide. The mutant accumulated the glucoside, dhurrin, but failed to efficiently release cyanide upon tissue disruption. Thus, we tested the effects of cyanide release on insect herbivory in a genetic background in which accumulation of cyanogenic glucoside is unchanged. Insect preference choice experiments and herbivory measurements demonstrate a deterrent effect of cyanide release capacity, even in the presence of wild-type levels of cyanogenic glucoside accumulation. Our gene cloning method substantiates the value of (1) a sequenced genome, (2) a strongly penetrant and easily measurable phenotype, and (3) a workflow to pinpoint a causal mutation in crop genomes and accelerate in the discovery of gene function in the postgenomic era.     

水产品中河流弧菌分离株OmpU基因的克隆测序与生物信息学分析

目的 对河流弧菌(Vibrio fluvialis)水产品分离株OmpU基因进行克隆测序和生物信息学分析,为建立该菌的检测方法和研制疫苗奠定基础.方法 从市售水产品中分离细菌,采用表型和分子鉴定方法确定其种属,并测定其致病性和药物敏感性.根据弧菌属OmpU基因的序列特点,设计引物扩增河流弧菌OmpU基因,将其克隆到T载体上,筛选重组质粒并对其进行序列测定及生物信息学分析.结果 从水产品中分离的2个菌株(Vf1和Vt2)经鉴定确认为河流弧菌,它们均具有致病性,对15种测试抗菌药物敏感.2株河流弧菌OmpU基因全长分别为1 044和1 005 bp,含有1个开放性阅读框,分别编码由348和335个氨基酸组成的OmpU蛋白,该蛋白N端前22个氨基酸为信号肽.序列比对结果显示2株河流弧菌OmpU基因的核苷酸及其推导的氨基酸序列相似性分别为82.6％和81.2％.OmpU蛋白序列在6种弧菌种内和种间的相似性分别为81.4％ ～ 99.2％和71.2％ ～78.1％.表位预测结果显示河流弧菌OmpU蛋白的B细胞线性表位主要集中在第24 ～ 28、45～ 53、113～116、153～156、215～ 221和242～254位氨基酸区域,6种弧菌具有1个共同的抗原表位基序KDG-A-D-S.结论 OmpU蛋白是弧菌属中较为保守的一类功能蛋白,共同的抗原表位基序有望成为检测多种弧菌的靶标和研制多表位疫苗的靶位.     

番茄AT-hook基因家族的鉴定及胁迫条件下的表达分析

AT-hook蛋白家族在植物生长发育、器官构建及逆境胁迫和激素信号应答中发挥重要作用。本研究在番茄基因组范围内,利用生物信息学方法对番茄AT-hook基因家族的成员、分布、结构和功能进行分析。结果表明,番茄AT-hook家族包含32个成员,分为3种类型,其中类型Ⅰ含有13个成员;遗传进化分析表明番茄AT-hook基因成员与拟南芥家族基因具有相似分类。利用实时荧光定量PCR对番茄32个基因开展组织表达分析,结果表明AT-hook基因具有表达差异,主要在根和花中表达较高。氧化胁迫分析结果表明,32个基因受ABA、SA、盐、高温和低温诱导表达,其中部分基因显著上调或下调表达,很可能参与了番茄逆境胁迫条件下的防御应答反应。本研究结果将为番茄AT-hook家族基因的深入研究提供依据,为进一步解析番茄AT-hook基因的功能奠定基础。     

The advantage of laser‐capture microdissection over whole tissue analysis in proteomic profiling studies

Laser‐capture microdissection (LCM) offers a reliable cell population enrichment tool and has been successfully coupled to MS analysis. Despite this, most proteomic studies employ whole tissue lysate (WTL) analysis in the discovery of disease biomarkers and in profiling analyses. Furthermore, the influence of tissue heterogeneity in WTL analysis, nor its impact in biomarker discovery studies have been completely elucidated. In order to address this, we compared previously obtained high resolution MS data from a cohort of 38 breast cancer tissues, of which both LCM enriched tumor epithelial cells and WTL samples were analyzed. Label‐free quantification (LFQ) analysis through MaxQuant software showed a significantly higher number of identified and quantified proteins in LCM enriched samples (3404) compared to WTLs (2837). Furthermore, WTL samples displayed a higher amount of missing data compared to LCM both at peptide and protein levels (p‐value < 0.001). 2D analysis on co‐expressed proteins revealed discrepant expression of immune system and lipid metabolisms related proteins between LCM and WTL samples. We hereby show that LCM better dissected the biology of breast tumor epithelial cells, possibly due to lower interference from surrounding tissues and highly abundant proteins. All data have been deposited in the ProteomeXchange with the dataset identifier PXD002381 ( http://proteomecentral.proteomexchange.org/dataset/PXD002381 ).     

Short‐term calorie restriction ameliorates genomewide,age‐related alterations in DNA methylation

DNA methylation plays major roles in many biological processes, including aging, carcinogenesis, and development. Analyses of DNA methylation using next‐generation sequencing offer a new way to profile and compare methylomes across the genome in the context of aging. We explored genomewide DNA methylation and the effects of short‐term calorie restriction (CR) on the methylome of aged rat kidney. Whole‐genome methylation of kidney in young (6 months old), old (25 months old), and OCR (old with 4‐week, short‐term CR) rats was analyzed by methylated DNA immunoprecipitation and next‐generation sequencing (MeDIP‐Seq). CpG islands and repetitive regions were hypomethylated, but 5′‐UTR, exon, and 3′‐UTR hypermethylated in old and OCR rats. The methylation in the promoter and intron regions was decreased in old rats, but increased in OCR rats. Pathway enrichment analysis showed that the hypermethylated promoters in old rats were associated with degenerative phenotypes such as cancer and diabetes. The hypomethylated promoters in old rats related significantly to the chemokine signaling pathway. However, the pathways significantly enriched in old rats were not observed from the differentially methylated promoters in OCR rats. Thus, these findings suggest that short‐term CR could partially ameliorate age‐related methylation changes in promoters in old rats. From the epigenomic data, we propose that the hypermethylation found in the promoter regions of disease‐related genes during aging may indicate increases in susceptibility to age‐related diseases. Therefore, the CR‐induced epigenetic changes that ameliorate age‐dependent aberrant methylation may be important to CR's health‐ and life‐prolonging effects.