真菌群落构建机制研究进展

真菌是真核生物中生物多样性最丰富的类群之一,广泛分布于自然界,在生物多样性的分布与维持、群落构建以及物质与能量循环过程中发挥着重要的生态功能。近年来随着DNA高通量测序技术和生物信息学的发展,极大推动了真菌多样性分布格局与群落构建机制的研究进展。本文概述了基于生态位理论(niche theory)和中性理论(neutral theory)的选择(selection)、扩散(dispersal)、成种(speciation)和漂变(drift)等过程与生态模型的定量分析确定性过程和随机性过程对群落构建贡献的机制,及其在真菌群落构建中应用的最新研究进展。     

Environmental metabarcoding reveals heterogeneous drivers of microbial eukaryote diversity in contrasting estuarine ecosystems

Assessing how natural environmental drivers affect biodiversity underpins our understanding of the relationships between complex biotic and ecological factors in natural ecosystems. Of all ecosystems, anthropogenically important estuaries represent a ‘melting pot'' of environmental stressors, typified by extreme salinity variations and associated biological complexity. Although existing models attempt to predict macroorganismal diversity over estuarine salinity gradients, attempts to model microbial biodiversity are limited for eukaryotes. Although diatoms commonly feature as bioindicator species, additional microbial eukaryotes represent a huge resource for assessing ecosystem health. Of these, meiofaunal communities may represent the optimal compromise between functional diversity that can be assessed using morphology and phenotype–environment interactions as compared with smaller life fractions. Here, using 454 Roche sequencing of the 18S nSSU barcode we investigate which of the local natural drivers are most strongly associated with microbial metazoan and sampled protist diversity across the full salinity gradient of the estuarine ecosystem. In order to investigate potential variation at the ecosystem scale, we compare two geographically proximate estuaries (Thames and Mersey, UK) with contrasting histories of anthropogenic stress. The data show that although community turnover is likely to be predictable, taxa are likely to respond to different environmental drivers and, in particular, hydrodynamics, salinity range and granulometry, according to varied life-history characteristics. At the ecosystem level, communities exhibited patterns of estuary-specific similarity within different salinity range habitats, highlighting the environmental sequencing biomonitoring potential of meiofauna, dispersal effects or both.     

Novel bioinformatic developments for exome sequencing

With the widespread adoption of next generation sequencing technologies by the genetics community and the rapid decrease in costs per base, exome sequencing has become a standard within the repertoire of genetic experiments for both research and diagnostics. Although bioinformatics now offers standard solutions for the analysis of exome sequencing data, many challenges still remain; especially the increasing scale at which exome data are now being generated has given rise to novel challenges in how to efficiently store, analyze and interpret exome data of this magnitude. In this review we discuss some of the recent developments in bioinformatics for exome sequencing and the directions that this is taking us to. With these developments, exome sequencing is paving the way for the next big challenge, the application of whole genome sequencing.     

环RNA研究概况

在1976年就已经发现RNA可以具有环形形式。但是长期以来对环形RNA(circRNAs)主要是作为一些特例加以研究。随着高通量RNA测序技术以及生物信息学的发展,近几年的研究发现circRNAs在真核生物中普遍存在,并且具有一定的保守性和细胞特异性。越来越多的证据指明circRNAs不是剪切噪音,而是具有一定生物学功能,可能与一系列调控甚至疾病的发生和发展相关。     

台风利奇马对海水贝塘浮游生物群落的影响

为了揭示台风前后海水池塘贝类养殖过程中浮游生物群落结构的变化,对养殖水体环境基因组DNA中16S和18S rRNA基因进行了高通量测序和生物信息学分析。结果显示,原核生物OTU数(28728)明显高于真核生物(8498),其中原核生物优势类群主要为变形菌门(Proteobacteria)、蓝藻门(Cyanobacteria)、拟杆菌门(Bacteroidetes)、放线菌门(Actinobacteria)和绿菌门(Chlorobi)等;真核生物优势类群为纤毛虫、鞭毛虫、原绵虫、杯鞭虫、隐藻、棕鞭藻和硅藻等,其中硅藻丰度占比在台风后显著性增加(P<0.05)。台风过后真核生物多样性均未发生显著改变,原核生物Shannon指数和Simpson指数出现显著性差异(P<0.05),表现为先降低后升高,而OTU数和Chao I指数则未发生显著改变。PCoA分析显示,台风后原核和真核生物群落结构均产生时间异质性,但仅原核生物群落结构产生显著差异。ANOSIM显示,真核和原核微生物群落在台风前后均存在显著性差异(P<0.05),其中原核微生物每个时间点之间均有显著差异(P<0...     

基于RNA-Seq的长非编码RNA预测

随着新一代生物技术和生物信息学的发展,研究发现,在真核生物转录组中存在大量长非编码RNA(long non-codingRNA,lncRNA),而这些lncRNA可能在基因表达调控过程中起到关键性的功能作用.当前lncRNA研究主要采用高通量RNA-Seq测序技术,并通过生物信息学方法对测序数据进行处理和分析,以挖掘其中lncRNA的序列、结构、表达及功能等信息.本文将对基于RNA-Seq的lncRNA预测流程进行介绍,对其中涉及的生物信息学方法进行较为全面的综述,就相关问题和挑战展开讨论,并对研究进行展望.     

Bioinformatic challenges for DNA metabarcoding of plants and animals

Almost all empirical studies in ecology have to identify the species involved in the ecological process under examination. DNA metabarcoding, which couples the principles of DNA barcoding with next generation sequencing technology, provides an opportunity to easily produce large amounts of data on biodiversity. Microbiologists have long used metabarcoding approaches, but use of this technique in the assessment of biodiversity in plant and animal communities is under-explored. Despite its relationship with DNA barcoding, several unique features of DNA metabarcoding justify the development of specific data analysis methodologies. In this review, we describe the bioinformatics tools available for DNA metabarcoding of plants and animals, and we revisit others developed for DNA barcoding or microbial metabarcoding. We also discuss the principles and associated tools for evaluating and comparing DNA barcodes in the context of DNA metabarcoding, for designing new custom-made barcodes adapted to specific ecological question, for dealing with PCR and sequencing errors, and for inferring taxonomical data from sequences.     

Long‐term dynamics in microbial eukaryotes communities: a palaeolimnological view based on sedimentary DNA

Assessing the extent to which changes in lacustrine biodiversity are affected by anthropogenic or climatic forces requires extensive palaeolimnological data. We used high‐throughput sequencing to generate time‐series data encompassing over 2200 years of microbial eukaryotes (protists and Fungi) diversity changes from the sedimentary DNA record of two lakes (Lake Bourget in French Alps and Lake Igaliku in Greenland). From 176 samples, we sequenced a large diversity of microbial eukaryotes, with a total 16 386 operational taxonomic units distributed within 50 phylogenetic groups. Thus, microbial groups, such as Chlorophyta, Dinophyceae, Haptophyceae and Ciliophora, that were not previously considered in lacustrine sediment record analyses appeared to be potential biological markers of trophic status changes. Our data suggest that shifts in relative abundance of extant species, including shifts between rare and abundant taxa, drive ecosystem responses to local and global environmental changes. Community structure shift events were concomitant with major climate variations (more particularly in Lake Igaliku). However, this study shows that the impacts of climatic fluctuations may be overpassed by the high‐magnitude eutrophication impacts, as observed in the eutrophicated Lake Bourget. Overall, our data show that DNA preserved in sediment constitutes a precious archive of information on past biodiversity changes.     

Inventory of the benthic eukaryotic diversity in the oldest European lake

We have profound knowledge on biodiversity on Earth including plants and animals. In the recent decade, we have also increased our understanding on microorganisms in different hosts and the environment. However, biodiversity is not equally well studied among different biodiversity groups and Earth''s systems with eukaryotes in freshwater sediments being among the least known. In this study, we used high‐throughput sequencing of the 18S rRNA gene to investigate the entire diversity of benthic eukaryotes in three distinct habitats (littoral sediment and hard substrate, profundal sediment) of Lake Ohrid, the oldest European lake. Eukaryotic sequences were dominated by annelid and arthropod animals (54% of all eukaryotic reads) and protists (Ochrophyta and Ciliophora; together 40% of all reads). Eukaryotic diversity was 15% higher in the deep profundal than on either near‐surface hard substrates or littoral sediments. The three habitats differed in their taxonomic and functional community composition. Specifically, heterotrophic organisms accounted for 92% of the reads in the profundal, whereas phototrophs accounted for 43% on the littoral hard substrate. The profundal community was the most homogeneous, and its network was the most complex, suggesting its highest stability among the sampled habitats.     

Protein glycosylation in bacterial mucosal pathogens

In eukaryotes, glycosylated proteins are ubiquitous components of extracellular matrices and cellular surfaces. Their oligosaccharide moieties are implicated in a wide range of cell-cell and cell-matrix recognition events that are required for biological processes ranging from immune recognition to cancer development. Glycosylation was previously considered to be restricted to eukaryotes; however, through advances in analytical methods and genome sequencing, there have been increasing reports of both O-linked and N-linked protein glycosylation pathways in bacteria, particularly amongst mucosal-associated pathogens. Studying glycosylation in relatively less-complicated bacterial systems provides the opportunity to elucidate and exploit glycoprotein biosynthetic pathways. We will review the genetic organization, glycan structures and function of glycosylation systems in mucosal bacterial pathogens, and speculate on how this knowledge may help us to understand glycosylation processes in more complex eukaryotic systems and how it can be used for glycoengineering.     

Ten years of the Génolevures Consortium: a brief history

We report the early phase of yeast comparative genomics conducted by a group of seven French CNRS laboratories: the Génolevures Consortium. This first multispecies comparison of Hemiascomycetes (now called Saccharomycotina) opened the way to yeast evolutionary genomics. This analysis indicates that yeasts are powerful organisms to decipher the different mechanisms acting to reshape the genome of eukaryotes during long evolution periods. This initial DNA approach reveals how biodiversity could be characterized with robust data.     

SAND, a new protein family: from nucleic acid to protein structure and function prediction

As a result of genome, EST and cDNA sequencing projects, there are huge numbers of predicted and/or partially characterised protein sequences compared with a relatively small number of proteins with experimentally determined function and structure. Thus, there is a considerable attention focused on the accurate prediction of gene function and structure from sequence by using bioinformatics. In the course of our analysis of genomic sequence from Fugu rubripes, we identified a novel gene, SAND, with significant sequence identity to hypothetical proteins predicted in Saccharomyces cerevisiae, Schizosaccharomyces pombe, Caenorhabditis elegans, a Drosophila melanogaster gene, and mouse and human cDNAs. Here we identify a further SAND homologue in human and Arabidopsis thaliana by use of standard computational tools. We describe the genomic organisation of SAND in these evolutionarily divergent species and identify sequence homologues from EST database searches confirming the expression of SAND in over 20 different eukaryotes. We confirm the expression of two different SAND paralogues in mammals and determine expression of one SAND in other vertebrates and eukaryotes. Furthermore, we predict structural properties of SAND, and characterise conserved sequence motifs in this protein family.     

Sample richness and genetic diversity as drivers of chimera formation in nSSU metagenetic analyses

Eukaryotic diversity in environmental samples is often assessed via PCR-based amplification of nSSU genes. However, estimates of diversity derived from pyrosequencing environmental data sets are often inflated, mainly because of the formation of chimeric sequences during PCR amplification. Chimeras are hybrid products composed of distinct parental sequences that can lead to the misinterpretation of diversity estimates. We have analyzed the effect of sample richness, evenness and phylogenetic diversity on the formation of chimeras using a nSSU data set derived from 454 Roche pyrosequencing of replicated, large control pools of closely and distantly related nematode mock communities, of known intragenomic identity and richness. To further investigate how chimeric molecules are formed, the nSSU gene secondary structure was analyzed in several individuals. For the first time in eukaryotes, chimera formation proved to be higher in both richer and more genetically diverse samples, thus providing a novel perspective of chimera formation in pyrosequenced environmental data sets. Findings contribute to a better understanding of the nature and mechanisms involved in chimera formation during PCR amplification of environmentally derived DNA. Moreover, given the similarities between biodiversity analyses using amplicon sequencing and those used to assess genomic variation, our findings have potential broad application for identifying genetic variation in homologous loci or multigene families in general.     

真菌生物信息学研究概况

真菌是真核生物的一大类群,主要包含酵母、霉菌之类的微生物以及最为人所熟知的菇类,无论是在生态、生命周期以及形态都有很大的差别.然而,到目前为止,对于真菌界的了解还很少,预估大约有150万个物种,之中已知种约占5％.1986年,美国科学家Thomas Roderick提出了基因组学概念,1990年代几个物种基因组计划的启动,揭开了历史性的一页.随着生物实验技术和信息处理技术的迅速发展与提高,生物信息学的概念应运而生,利用数学、信息学、统计学和计算机科学的方法研解决生物学的问题.介绍真菌的测序技术,概述了真菌基因组学、转录组学、蛋白质组学等方面的进展,并对真菌生物信息学的未来研究内容进行展望.     

Functional annotation of hypothetical proteins - A review

The complete human genome sequences in the public database provide ways to understand the blue print of life. As of June 29, 2006, 27 archaeal, 326 bacterial and 21 eukaryotes is complete genomes are available and the sequencing for 316 bacterial, 24 archaeal, 126 eukaryotic genomes are in progress. The traditional biochemical/molecular experiments can assign accurate functions for genes in these genomes. However, the process is time-consuming and costly. Despite several efforts, only 50-60 % of genes have been annotated in most completely sequenced genomes. Automated genome sequence analysis and annotation may provide ways to understand genomes. Thus, determination of protein function is one of the challenging problems of the post-genome era. This demands bioinformatics to predict functions of un-annotated protein sequences by developing efficient tools. Here, we discuss some of the recent and popular approaches developed in Bioinformatics to predict functions for hypothetical proteins.     

Distribution and Diversity of Microbial Eukaryotes in Bathypelagic Waters of the South China Sea

Little is known about the biodiversity of microbial eukaryotes in the South China Sea, especially in waters at bathyal depths. Here, we employed SSU rDNA gene sequencing to reveal the diversity and community structure across depth and distance gradients in the South China Sea. Vertically, the highest alpha diversity was found at 75‐m depth. The communities of microbial eukaryotes were clustered into shallow‐, middle‐, and deep‐water groups according to the depth from which they were collected, indicating a depth‐related diversity and distribution pattern. Rhizaria sequences dominated the microeukaryote community and occurred in all samples except those from less than 50‐m deep, being most abundant near the sea floor where they contributed ca. 64–97% and 40–74% of the total sequences and OTUs recovered, respectively. A large portion of rhizarian OTUs has neither a nearest named neighbor nor a nearest neighbor in the GenBank database which indicated the presence of new phylotypes in the South China Sea. Given their overwhelming abundance and richness, further phylogenetic analysis of rhizarians were performed and three new genetic clusters were revealed containing sequences retrieved from the deep waters of the South China Sea. Our results shed light on the diversity and community structure of microbial eukaryotes in this not yet fully explored area.