一株稀有海洋真菌Stachybotrys longispora FG216的De Novo测序及基因组学分析

【背景】长孢葡萄穗霉菌(Stachybotrys longispora) FG216是一株稀有海洋真菌,其次生代谢产物FGFC1具有纤溶活性。进行S. longispora FG216的基因组序列分析,将充实和促进海洋微生物功能基因和次生代谢产物合成生物学的基础研究和应用研究。【目的】解析S. longispora FG216的基因组序列,分析基因组生物功能和同源相似性关系,分析次生代谢产物纤溶活性化合物FGFC1的相关基因。【方法】基于Illumina HiSeq高通量测序平台对S. longispora FG216菌株进行De Novo测序,使用SSPACE、Augustus等软件进行组装、编码基因预测、基因功能注释、物种共线性分析以及预测FGFC1次生代谢产物合成基因簇。【结果】S. longispora FG216的基因组测序总长度为45622830bp,共得到605个Scaffold,GC含量为51.31%,注释预测得到13329个编码基因和169个非编码RNA。基因组测序数据提交至国家微生物科学数据中心(编号为NMDC60016264),其中13 053、8 422、8 460、7 714和2 847个基因分别能够在NR、KEGG、KOG、GO和CAZy数据库匹配到注释信息。比较基因组学分析发现,Stachybotrys具有保守性,核心基因占基因家族总数目的71.44%,S. longispora FG216与S. chlorohalonata IBT 40285的相似性最高;同时,预测得到101个次生代谢产物合成基因簇,其中18个基因簇与已知的化合物相匹配。通过antiSMASH预测,Cluster57是编码合成FGFC1母核结构异吲哚啉酮的基因簇,与S.chlorohalonataIBT40285中的基因簇相似度为40%。【结论】海洋稀有真菌S.longisporaFG216的基因组信息已上传至国家微生物科学数据中心公开使用,为Stachybotrys种属的研究提供了重要的参考意义,同时发现了S. longispora FG216次生代谢产物纤溶活性化合物FGFC1母核部分编码基因是Cluster 57。     

基因组挖掘默诺霉素生物合成基因簇的比较分析

通过对NCBI数据库的检索,使用次级代谢基因挖掘的方法对整个基因组数据进行扫描,发现含有潜在的默诺霉素家族磷酸糖脂类抗生素合成途径基因簇的6株链霉菌:Streptomyces ghanaensis、Streptomyces bambergiensis、 Streptomyces prasinus、 Streptomyces lincolnensis、 Streptomyces. sp. SAT1和Streptomyces clavuligerus。将搜寻获取的候选基因簇与S. ghanaensis中的默诺霉素合成相关基因簇进行比较基因组学分析,从共线性比对、合成基因的进化水平和同源性比对结果的分析,说明默诺霉素合成基因簇存在两种不同的进化来源与途径。其中5株链霉菌的合成基因簇位于染色体的两臂区,该区域常发生染色体插入或缺失的水平转移。通过对移动元件的基因岛序列的预测,发现默诺霉素合成基因簇是由20 kb大小的基因组岛实现了种间水平转移。基因组岛的插入是链霉菌获得新性状的重要途径,可以阐述基因簇在种间转移的途径和进化方向,以生物信息学基因组分析的角度为高产菌株的构建提供数据支持和改造。     

基因组分析揭示拟茎点霉XP-8产松脂醇及其糖苷等多种次级代谢产物的合成途径

【目的】通过解析拟茎点霉属XP-8的基因组序列信息,揭示该菌株潜在的代谢途径,并分析松脂醇及其糖苷化合物等次级代谢产物生物合成相关的关键基因。【方法】使用Illumina Hi Seq 2500高通量测序平台对拟茎点霉XP-8菌株进行全基因组测序,并通过不同软件对测序数据进行序列拼接,基因预测与功能注释。【结果】组装后的拟茎点霉XP-8基因组大小为55.2 Mb,GC含量53.5%,含有17094个蛋白编码基因和310个非编码基因。获得了松脂醇及其糖苷化合物等次级代谢产物生物合成相关的基因。系统发育分析揭示出拟茎点霉XP-8与5种子囊菌共有12635个同源基因和5626个基因家族。【结论】拟茎点霉XP-8具有用于合成松脂醇及其糖苷化合物等多种次级代谢物的基因组基础,为下一步的代谢工程改造提供依据。     

微生物基因组精简优化的研究进展

微生物基因组精简优化是构建合成生物学底盘细胞的重要策略.文中从基因组精简的整体设计出发,归纳了微生物的必需基因及其确定方法,重点介绍了各种微生物基因组精简策略,分析了多种基因组精简菌株的特点,充分展示了基因组精简优化在构建合成生物学底盘细胞中的重要作用.     

从碱基到人造生命——基因组的从头合成

人工方法合成基因可通过DNA化学合成,这也是基因获取的手段之一,是密码子优化、蛋白质工程、代谢工程及基因组工程等方面不可缺少的技术。本文从寡核苷酸的合成开始,对短片段DNA的合成、基因长度的DNA合成、基因组长度的DNA合成、长片段及基因组水平的DNA组装、基因组DNA的移植等方面的技术和问题进行了阐述。     

保幼激素合成的研究进展

保幼激素 (juvenile hormone,JH) 是通过甲羟戊酸途径合成的一类倍半萜化合物。以昆虫中普遍存在的JH Ⅲ为例,从分子水平上概述了JH合成途径中的各种酶,并对其中的两个关键酶：羟甲基戊二酰辅酶A还原酶和保幼激素酸甲基转移酶作了详细介绍。还从家蚕基因组数据库(http://silkworm.genomics.org.cn)中推测出了JH合成途径中大部分酶的编码基因,初探了JH合成的调节机制,讨论了JH合成的研究趋势。     

基于全基因组数据华根霉产真菌毒素分析

【目的】在对中国传统优势浓香型白酒产业中重要功能微生物华根霉菌株CCTCCM201021全基因组测序的基础上,以生物信息学的方法和手段主要针对真菌毒素的合成代谢途径及关键基因进行分析,考察微生物在食品工业应用中的安全性。【方法】应用Illumina平台Solexa测序技术对华根霉进行基因组测序,运用SOAPdenovo组装软件进行拼接,并进行一系列生物信息分析,考察根霉素、小孢根霉素及典型丝状真菌毒素代谢的主要途径及相关基因,包括PKS、NRPS与PKS-NRPS混合代谢途径;萜类化合物代谢和其他代谢途径等,判断华根霉是否具有产真菌毒素的潜在危害性。【结果】测序结果表明华根霉全基因组大小为45.70 Mb左右,GC含量为36.99%。通过基因预测软件分析得到基因17 676个,共注释基因13 243个。通过进化树与同源基因比较分析,与目前基因组测序完成的仅有的3株接合菌基因组相比,序列相似性普遍偏低,与华根霉存在较为显著的差异,但同源基因的相似性在60%左右。代谢分析表明,华根霉中仅存在较少聚酮合成、萜类化合物合成途径代谢基因,存在大量异源物质降解途径基因。【结论】华根霉基本不具备产目前已知的真菌毒素的关键基因或合成能力,可以认为其发酵产品是相对安全的。在酿造过程中,不仅可作为糖化菌,在混菌发酵时,对部分具有抑菌能力的抗生物质具有降解功能,是发酵工业中应用的相对安全的重要生产菌。     

基因组扫描发现2个新的糖尿病基因

基因组扫描发现２个新的糖尿病基因英国牛津大学ＪｏｈｎＡ．Ｔｏｄｄ研究组在美国缅因州ＢａｒＨａｂｏｒ的一次遗传学会议上报道,使用基因组扫描,在４６个Ⅰ型糖尿病人中发现１８个不同的染色体区域与该病有关（工作发表在１９９４年８月６日《Ｓｃｉｅｎｃｅ》上）,...     

聚苹果酸生产菌出芽短梗霉CCTCC M2012223的全基因组测序及序列分析

【目的】解析出芽短梗霉CCTCC M2012223的基因组序列信息,分析其代谢产物聚苹果酸、黑色素、普鲁兰多糖合成相关基因,为深入研究遗传多样性和代谢工程改造提供序列背景信息。【方法】使用Illumina Hi Seq高通量测序平台对出芽短梗霉CCTCC M2012223菌株进行全基因组测序,并对测序数据进行序列拼接,基因预测与功能注释,COG/GO聚类分析,比较基因组学分析等。下载其他5株出芽短梗霉基因组序列,比较分析6株菌的种内同源基因、全基因组进化以及代谢产物合成相关基因。【结果】出芽短梗霉CCTCC M2012223基因组序列全长30756831 bp,GC含量47.49%,编码9452个基因。比较基因组分析表明出芽短梗霉CCTCC M2012223的基因组组装长度最长,6株菌的同源基因数达到7092个,普鲁兰多糖和聚苹果酸合成相关基因的蛋白序列有很高的保守性。出芽短梗霉CCTCC M2012223和Aureobasidium pullulans var.melanogenum亲缘关系最近,而这2株菌的黑色素合成相关基因的蛋白序列有一些插入和突变。【结论】本研究解析了出芽短梗霉CCTCC M2012223的基因组序列信息,获得黑色素、普鲁兰多糖和聚苹果酸合成相关基因,为后续的代谢机制解析和改造提供相关依据。     

基因合成技术研究进展

基因合成是生物学中一项最基本的、最常用的技术.对DNA调控元件、基因、途径乃至整个基因组的合成是验证生物学假设和利用生物学为人类服务的有力工具.合成生物学的快速发展对基因合成能力提出了日益迫切的需求.近年来,基于微芯片基因合成技术取得了很多令人振奋的新进展,正在向着高通量、高保真、自动化的方向发展.文中综述了DNA化学合成和基因组装及相关技术的最新研究进展和发展趋势,这些新技术正在推动着合成生物学向着更高的水平发展.     

Nonribosomal peptides in fungal cell factories: from genome mining to optimized heterologous production

Fungi are notoriously prolific producers of secondary metabolites including nonribosomal peptides (NRPs). The structural complexity of NRPs grants them interesting activities such as antibiotic, anti-cancer, and anti-inflammatory properties. The discovery of these compounds with attractive activities can be achieved by using two approaches: either by screening samples originating from various environments for their biological activities, or by identifying the related clusters in genomic sequences thanks to bioinformatics tools. This genome mining approach has grown tremendously due to recent advances in genome sequencing, which have provided an incredible amount of genomic data from hundreds of microbial species. Regarding fungal organisms, the genomic data have revealed the presence of an unexpected number of putative NRP-related gene clusters. This highlights fungi as a goldmine for the discovery of putative novel bioactive compounds. Recent development of NRP dedicated bioinformatics tools have increased the capacity to identify these gene clusters and to deduce NRPs structures, speeding-up the screening process for novel metabolites discovery. Unfortunately, the newly identified compound is frequently not or poorly produced by native producers due to a lack of expression of the related genes cluster. A frequently employed strategy to increase production rates consists in transferring the related biosynthetic pathway in heterologous hosts. This review aims to provide a comprehensive overview about the topic of NRPs discovery, from gene cluster identification by genome mining to the heterologous production in fungal hosts. The main computational tools and methods for genome mining are herein presented with an emphasis on the particularities of the fungal systems. The different steps of the reconstitution of NRP biosynthetic pathway in heterologous fungal cell factories will be discussed, as well as the key factors to consider for maximizing productivity. Several examples will be developed to illustrate the potential of heterologous production to both discover uncharacterized novel compounds predicted in silico by genome mining, and to enhance the productivity of interesting bio-active natural products.     

Genome-wide prediction,display and refinement of binding sites with information theory-based models

Background  

We present Delila-genome, a software system for identification, visualization and analysis of protein binding sites in complete genome sequences. Binding sites are predicted by scanning genomic sequences with information theory-based (or user-defined) weight matrices. Matrices are refined by adding experimentally-defined binding sites to published binding sites. Delila-Genome was used to examine the accuracy of individual information contents of binding sites detected with refined matrices as a measure of the strengths of the corresponding protein-nucleic acid interactions. The software can then be used to predict novel sites by rescanning the genome with the refined matrices.     

Structure of the 3' terminus of the hepatitis C virus genome.

Hepatitis C virus (HCV), a positive-strand RNA virus, has been considered to have a poly(U) stretch at the 3' terminus of the genome. We previously found a novel 98-nucleotide sequence downstream from the poly(U) stretch on the HCV genome by primer extension analysis of the 5' end of the antigenomic-strand RNA in infected liver (T. Tanaka, N. Kato, M.-J. Cho, and K. Shimotohno, Biochem. Biophys. Res. Commun. 215: 744-749, 1995). Here, we show that the novel sequence is a highly conserved 3' tail of the HCV genome. We repeated primer extension analyses with four HCV-infected liver samples and found the 98-nucleotide sequence in all the samples. Furthermore, experiments in which RNA oligonucleotide was ligated to the 3' end of the HCV genome existing in infectious serum revealed nearly identical 3' termini with no extra sequence downstream from the 98-nucleotide sequence, suggesting that this sequence is the tail of the HCV genome. This tail sequence was highly conserved among individuals and even between the two most genetically distant HCV types, II/1b and III/2a. Computer modeling predicted that the tail sequence can form a conserved stem-and-loop structure. These results suggest that the novel 3' tail is a common structure of the HCV genome that plays an important role in initiation of genomic replication.     

Implementation of a de novo genome-wide computational approach for updating Brachypodium miRNAs

Plant microRNAs (miRNAs) are single-stranded 20-22 nt small RNAs (sRNA) that are produced from their own genes. We have developed a de novo genome-wide approach for the computational identification of novel plant miRNAs based on the integration of the complete genome sequence with sRNA libraries. It comprises three modules - the clustering module identifies genomic regions that have two closely-located unidirectional sRNA clusters, the mirplan module explores the secondary structure of the genomic regions, and the duplex module predicts miRNA/miRNA* duplexes. We applied our approach to the Brachypodium genome and publicly available sRNA libraries and predicted 102 miRNAs. Our results extend the list of known miRNAs with 58 novel miRNAs and define the genomic loci of all predicted miRNAs. Because this approach considers specific features of plant miRNAs, it can be employed for the analysis of the genome and sRNA libraries generated for plant species to achieve systematic miRNA discovery.     

Full-length RNA structure prediction of the HIV-1 genome reveals a conserved core domain

A distance constrained secondary structural model of the ≈10 kb RNA genome of the HIV-1 has been predicted but higher-order structures, involving long distance interactions, are currently unknown. We present the first global RNA secondary structure model for the HIV-1 genome, which integrates both comparative structure analysis and information from experimental data in a full-length prediction without distance constraints. Besides recovering known structural elements, we predict several novel structural elements that are conserved in HIV-1 evolution. Our results also indicate that the structure of the HIV-1 genome is highly variable in most regions, with a limited number of stable and conserved RNA secondary structures. Most interesting, a set of long distance interactions form a core organizing structure (COS) that organize the genome into three major structural domains. Despite overlapping protein-coding regions the COS is supported by a particular high frequency of compensatory base changes, suggesting functional importance for this element. This new structural element potentially organizes the whole genome into three major domains protruding from a conserved core structure with potential roles in replication and evolution for the virus.     

全基因组水平扫描鉴定粗糙脉孢菌糖转运蛋白及其在酿酒酵母己糖发酵中的评价

木质纤维素降解真菌粗糙脉孢菌天然具有吸收利用多种单糖和寡糖的能力,但是目前基因组中注释的预测糖转运蛋白仍然有过半功能未知。本研究从全基因组水平系统分析了粗糙脉孢菌预测糖转运蛋白的转运底物。研究发现两个转运蛋白(NCU01868和NCU08152)具有转运多种己糖底物的功能,因此分别命名为NcHXT-1和NcHXT-2。利用荧光共振能量转移技术(FRET)确认了NcHXT-1/-2具有葡萄糖转运功能。在己糖转运蛋白全缺酿酒酵母EBY.VW4000中分别过表达NcHXT-1/-2,能恢复其在葡萄糖、半乳糖或甘露糖的液体培养基中生长并生成乙醇的能力。NcHXT-1/-2在很多纤维素降解真菌中均具有保守的同源蛋白。本研究通过全基因组扫描鉴定,发现了两个保守的丝状真菌己糖转运蛋白,为真菌降解利用木质纤维素及酵母利用单糖发酵提供了新的改造靶点。     

Histone deacetylase inhibitors and hemoglobin F induction in beta-thalassemia

Epigenomic modifiers, such as histone deacetylase inhibitors, are compounds that regulate gene expression by interfering with the enzymatic machinery that maintains the proper chromatin structure of the nucleus. These compounds are at the forefront of novel therapeutic agents for the treatment of several diseases including cancer and genetic disorders such as beta-thalassemia and sickle cell disease. Here we review the current understanding of the mechanism of action of epigenomic modifiers in the treatment of beta-thalassemia and sickle cell anemia. We also discuss how the lessons learned from the study of the effects of these compounds on the beta-globin locus, one of the best characterized regions of the human genome, might contribute to the understanding of the mechanism of action of these same compounds in cancer, where the specific regions of the genome that are responsible for the pathophysiology of the disease are often poorly defined.     

SECOM: a novel hash seed and community detection based-approach for genome-scale protein domain identification

With rapid advances in the development of DNA sequencing technologies, a plethora of high-throughput genome and proteome data from a diverse spectrum of organisms have been generated. The functional annotation and evolutionary history of proteins are usually inferred from domains predicted from the genome sequences. Traditional database-based domain prediction methods cannot identify novel domains, however, and alignment-based methods, which look for recurring segments in the proteome, are computationally demanding. Here, we propose a novel genome-wide domain prediction method, SECOM. Instead of conducting all-against-all sequence alignment, SECOM first indexes all the proteins in the genome by using a hash seed function. Local similarity can thus be detected and encoded into a graph structure, in which each node represents a protein sequence and each edge weight represents the shared hash seeds between the two nodes. SECOM then formulates the domain prediction problem as an overlapping community-finding problem in this graph. A backward graph percolation algorithm that efficiently identifies the domains is proposed. We tested SECOM on five recently sequenced genomes of aquatic animals. Our tests demonstrated that SECOM was able to identify most of the known domains identified by InterProScan. When compared with the alignment-based method, SECOM showed higher sensitivity in detecting putative novel domains, while it was also three orders of magnitude faster. For example, SECOM was able to predict a novel sponge-specific domain in nucleoside-triphosphatase (NTPases). Furthermore, SECOM discovered two novel domains, likely of bacterial origin, that are taxonomically restricted to sea anemone and hydra. SECOM is an open-source program and available at http://sfb.kaust.edu.sa/Pages/Software.aspx.     

Synthesis, in silico metabolic and toxicity prediction of some novel imidazolinones derivatives as potent anticonvulsant agents

A series of 1,2,4-trisubstituted 5-imidazolinone derivatives were synthesized by Erlenmeyer condensation of benzoylglycine (hippuric acid) with different aldehydes in the presence of sodium acetate and acetic anhydride. The derivatives of the compounds were prepared by condensation of some known sulpha drugs with 5-oxazolone derivatives. The anticonvulsant activity of the compounds was determined by the protection of pentylenetetrazole-induced convulsions that was ranged from 10 to 60%. The compounds with p-OCH?, p-OH and o-Cl substitutions in the phenyl ring on 4(th) position of the imidazolinone ring exhibited good anticonvulsant activity. In silico metabolic and toxicity studies showed that all the compounds in the series are not likely to exhibit toxicity except the compounds IIIa, IIIb, VIa and VIb, that is predicted to show 29% mutagenicity and 53% irritation in comparison to the other compounds. The predicted lethal effect and hERG toxicity of the compounds showed that IIa, IVa, Va and Vb might be toxic at higher concentrations. The results successfully establish the synthesized imidazolinone derivatives as novel compounds with anticonvulsant properties, low predicted cardiotoxicity and lethal effects thus can be promising leads for further development as novel anticonvulsants.