Mining antimicrobial peptides from small open reading frames in Ciona intestinalis

Though being able to encode various kinds of bioactive peptides, small open reading frames (sORFs) are poorly annotated in many genomic data. The present study was conducted to evaluate the potential of sORFs in encoding antimicrobial peptides (AMPs) in the basal chordate model Ciona intestinalis. About 4.8 m genomic sequence was first retrieved for sORFs mining by the program sORFfinder, then the sORFs were translated into amino acid sequences for AMP prediction via CAMP server, and thereafter, ten putative AMPs were selected for expression and antimicrobial activity validation. In total, over 180 peptides deduced from the sORFs were predicted to be AMPs. Among the ten tested peptides, six were found to have significant expressed sequence tag matches, providing strong evidence for gene expression; five were proved to be active against the bacterial strains. These results indicate that many sORFs in C. intestinalis genome contain AMP information. This work can serve as an important initial step to investigate the role of sORFs in the innate defense of C. intestinalis. Copyright © 2013 European Peptide Society and John Wiley & Sons, Ltd.     

原核生物蛋白质基因组学研究进展

随着基因组测序技术的不断发展,大量微生物基因组序列可以在短时间内得以准确鉴定。为了进一步探究基因组的结构与功能,基于序列特征与同源特征的基因组注释算法广泛应用于新测序物种。然而受基因组测序质量以及算法本身准确性偏低等问题的影响,现有的基因组注释存在着相当比例的假基因以及注释错误,尤其是蛋白质N端的注释错误。为了弥补基因组注释的不足,以基因芯片或RNA-seq为核心的转录组测序技术和以串联质谱为核心的蛋白质组测序技术可以高通量地对基因的转录和翻译产物进行精确测定,进而实现预测基因结构的实验验证。然而,原核生物细胞中存在的大量非编码RNA给转录组测序技术引入了污染数据,限制了其对基因组注释的应用。相对而言,以串联质谱技术为核心的蛋白质组学测序可以在短时间内鉴定到生物体内大量的蛋白质,实现注释基因的验证甚至校准。已成为基因组注释和重注释的重要依据,并因而衍生了"蛋白质基因组学"的新研究方向。文中首先介绍传统的基于序列预测和同源比对的基因组注释算法,指出其中存在的不足。在此基础上,结合转录组学与蛋白质组学的技术特点,分析蛋白质组学对于原核生物基因组注释的优势,总结现阶段大规模蛋白质基因组学研究的进展情况。最后从信息学角度指出当前蛋白质组数据进行基因组重注释存在的问题与相应的解决方案,进而探讨未来蛋白质基因组学的发展方向。     

KEGG Mapper for inferring cellular functions from protein sequences

KEGG is a reference knowledge base for biological interpretation of large‐scale molecular datasets, such as genome and metagenome sequences. It accumulates experimental knowledge about high‐level functions of the cell and the organism represented in terms of KEGG molecular networks, including KEGG pathway maps, BRITE hierarchies, and KEGG modules. By the process called KEGG mapping, a set of protein coding genes in the genome, for example, can be converted to KEGG molecular networks enabling interpretation of cellular functions and other high‐level features. Here we report a new version of KEGG Mapper, a suite of KEGG mapping tools available at the KEGG website ( https://www.kegg.jp/ or https://www.genome.jp/kegg/ ), together with the KOALA family tools for automatic assignment of KO (KEGG Orthology) identifiers used in the mapping.     

Isolation and characterization of microsatellite markers from Hibiscus rosa-sinensis (Malvaceae) and cross-species amplifications

We report on the development of 10 microsatellite markers in Hibiscus rosa-sinensis (Hrs). Three markers were obtained from sequences available in GenBank and seven were isolated using a two-step ‘primer extension’ procedure, based on the microsatellite-AFLP (M-AFLP) technique. Polymorphism was explored in 21 Hrs genotypes representing the genetic variation within commercial varieties. Inter-specific amplification was assessed on 12 Hibiscus wild species. A total of 45 and 56 alleles (ranging from 1 to 10 for each locus) was amplified respectively from the 21 Hrs varieties and among the full Hibiscus spp. genotype set. Primers and conditions for polymerase chain reaction (PCR) amplification of the detected loci are reported.     

基因芯片数据分析过程:从原始数据到生物学意义

基因芯片实验要得到可靠的生物学结论,必须基于优化的实验设计和科学的数据分析。讨论了与基因芯片数据分析方法相关的实验设计方面的几个问题,简述了差异表达分析、聚类分析及功能富集分析等分析方法及其进展,并介绍了部分软件及应用。     

一组高度保守的水稻trs-like基因的鉴定与分析

基于对水稻基因组序列的注解和同源搜索的结果,用RT-PCR结合测序的方法证明了水稻中至少有10个具有转录活性的trs-like基因。这10个基因的编码产物与酵母TRAPP蛋白复合体已知10个亚基中的6个分别同源。其中4对基因是双拷贝的,另2个则是单拷贝的(基于已知的水稻基因组序列)。所有这10个基因均在不同时期的水稻组织中广泛表达,并与其他真核生物的trs-like基因在基因结构及编码蛋白质序列水平上高度保守。     

大豆BAC克隆基因注释

根据来源于大豆BAC克隆库中的基因组序列,与其比对的基因或蛋白质序列可以从一些数据库中搜索,如GenBank序列数据库、EMBL数据库、PDB数据库等,然后利用NCBI的Entrz程序在数据库中搜索大豆基因类似物,获取其登录号及核苷酸序列,以及这些基因编码的氨基酸序列,通过GENSCAN等软件分析,得出的是与拟南芥等物种序列比对的结果,根据GENSCAN的预测结果,可以初步得知序列长度、基因数目及具有编码某种功能蛋白的基因存在的可能性,进而对预测出的氨基酸或核苷酸序列利用数据库NCBI中的BLAST进行序列的相似性搜索及比对分析,寻找其保守区域。最后对其功能基因进行注释。     

Genome-wide survey and genetic characteristics of Ophichthus evermanni based on Illumina sequencing platform

Ophichthidae fishes limit to continental shelf of all tropical and subtropical oceans and contain more than 350 species, representing the greatest specialization diversity in the order Anguiliformes. In the present study, we conducted a genome survey sequencing (GSS) analysis of Ophichthus evermanni by Illumina sequencing platform to briefly reveal its genomic characteristics and phylogenetic relationship. The first de novo assembled 1.97 Gb draft genome of O. evermanni was predicted based on K-mer analysis without obvious nucleotide bias. The heterozygosity ratio was 0.70%, and the sequence repeat ratio was calculated to be 43.30%. A total of 9016 putative coding genes were successfully predicted, in which 3587 unigenes were identified by gene ontology (GO) analysis and 4375 unigenes were classified into cluster of orthologous groups for enkaryotic complete genomes (KOG) functional categories. About 2,812,813 microsatellite motifs including mono-, di-, tri-, tetra-, penta- and hexanucleotide motifs were identified, with an occurrence frequency of 23.32%. The most abundant type was dinucleotide repeat motifs, accounting for 49.19% of the total repeat types. The mitochondrial genome, as a byproduct of GSS, was assembled to investigate the evolutionary relationships between O. evermanni and its relatives. Bayesian inference (BI) phylogenetic tree inferring from concatenated 12 protein-coding genes (PCGs) showed complicated relationships among Ophichthidae species, indicating a polyphyletic origin of the family. The results would achieve more thorough genetic information of snake eels and provide a theoretical basis and reference for further genome-wide analysis of O. evermanni.     

JaponicusDB: rapid deployment of a model organism database for an emerging model species

The fission yeast Schizosaccharomyces japonicus has recently emerged as a powerful system for studying the evolution of essential cellular processes, drawing on similarities as well as key differences between S. japonicus and the related, well-established model Schizosaccharomyces pombe. We have deployed the open-source, modular code and tools originally developed for PomBase, the S. pombe model organism database (MOD), to create JaponicusDB (www.japonicusdb.org), a new MOD dedicated to S. japonicus. By providing a central resource with ready access to a growing body of experimental data, ontology-based curation, seamless browsing and querying, and the ability to integrate new data with existing knowledge, JaponicusDB supports fission yeast biologists to a far greater extent than any other source of S. japonicus data. JaponicusDB thus enables S. japonicus researchers to realize the full potential of studying a newly emerging model species and illustrates the widely applicable power and utility of harnessing reusable PomBase code to build a comprehensive, community-maintainable repository of species-relevant knowledge.