Reconstructing a Thauera genome from a hydrogenotrophic-denitrifying consortium using metagenomic sequence data

Here, shotgun metagenomic sequencing was conducted to reveal the hydrogen-oxidizing autotrophic-denitrifying metabolism in an enriched Thauera-dominated consortium. A draft genome named Thauera R4 of over 90 % completeness (3.8 Mb) was retrieved mainly by a coverage-defined binning method from 3.5 Gb paired-end Illumina reads. We identified 1,263 genes (accounting for 33 % of total genes in the finished genome of Thauera aminoaromatica MZ1T) with average nucleotide identity of 87.6 % shared between Thauera R4 and T. aminoaromatica MZ1T. Although Thauera R4 and T. aminoaromatica shared quite similar nitrogen metabolism and a high nucleotide similarity (98.8 %) in their 16S ribosomal RNA genes, they showed different functional potentials in several important environmentally relevant processes. Unlike T. aminoaromatica MZ1T, Thauera R4 carries an operon of [NiFe]-hydrogenase (EC 1.12.99.6) catalyzing molecular hydrogen oxidation in nitrate-rich solution. Moreover, Thauera R4 is a mixtrophic bacterium possessing key enzymes for autotrophic CO₂-fixation and heterotrophic acetate assimilation metabolism. This Thauera R4 bin provides another genetic reference to better understand the niches of Thauera and demonstrates a model pipeline to reveal functional profiles and reconstruct novel and dominant genomes from a simplified mixed culture in environmental studies.     

全基因组范围代谢网络的构建和最小基因组研究

全基因组范围代谢网络（genome-scale metabolic network,GSMN）的构建是合成生物学研究的一个重要研究手段。通过整合各种组学数据和借助计算机进行模拟分析,将基因型与表型的关系进行定量关联,从而为从全局的角度探索和揭示生物代谢机制,进而对生物进行合理的重新设计和工程改造提供了有效的框架。该方法在最小基因组研究中也有着突出的优势,通过计算机辅助的基因组最小化模拟与分析,能够系统鉴定微生物基因组基因的必需性。迄今为止,已有近百个基因组范围的代谢网络发表,覆盖的生物包括原核生物、真核生物和古生生物,并广泛应用于医药、能源、环境、工业和农业等多个领域,展现出了广阔的应用前景。将对全基因组范围代谢网络构建的方法、应用,特别是其在最小基因组研究中的应用作简要的综述。     

Reconstructing an ultrametric galled phylogenetic network from a distance matrix

Given a distance matrix M that specifies the pairwise evolutionary distances between n species, the phylogenetic tree reconstruction problem asks for an edge-weighted phylogenetic tree that satisfies M, if one exists. We study some extensions of this problem to rooted phylogenetic networks. Our main result is an O(n(2) log n)-time algorithm for determining whether there is an ultrametric galled network that satisfies M, and if so, constructing one. In fact, if such an ultrametric galled network exists, our algorithm is guaranteed to construct one containing the minimum possible number of nodes with more than one parent (hybrid nodes). We also prove that finding a largest possible submatrix M' of M such that there exists an ultrametric galled network that satisfies M' is NP-hard. Furthermore, we show that given an incomplete distance matrix (i.e. where some matrix entries are missing), it is also NP-hard to determine whether there exists an ultrametric galled network which satisfies it.     

Extraction of phylogenetic network modules from the metabolic network

Background  

In bio-systems, genes, proteins and compounds are related to each other, thus forming complex networks. Although each organism has its individual network, some organisms contain common sub-networks based on function. Given a certain sub-network, the distribution of organisms common to it represents the diversity of its function.     

Stress-response balance drives the evolution of a network module and its host genome

Stress response genes and their regulators form networks that underlie drug resistance. These networks often have an inherent tradeoff: their expression is costly in the absence of stress, but beneficial in stress. They can quickly emerge in the genomes of infectious microbes and cancer cells, protecting them from treatment. Yet, the evolution of stress resistance networks is not well understood. Here, we use a two-component synthetic gene circuit integrated into the budding yeast genome to model experimentally the adaptation of a stress response module and its host genome in three different scenarios. In agreement with computational predictions, we find that: (i) intra-module mutations target and eliminate the module if it confers only cost without any benefit to the cell; (ii) intra- and extra-module mutations jointly activate the module if it is potentially beneficial and confers no cost; and (iii) a few specific mutations repeatedly fine-tune the module''s noisy response if it has excessive costs and/or insufficient benefits. Overall, these findings reveal how the timing and mechanisms of stress response network evolution depend on the environment.     

一株乳酸利用、丁酸产生菌的分离与鉴定及代谢特性的初步研究

利用改进型Hungate技术从猪粪中分离到一株乳酸利用、丁酸产生双重功能菌株LB01。常规生化检测表明菌株LB01为革兰氏阳性、严格厌氧菌,能利用葡萄糖、果糖、麦芽糖和乳酸等碳源,并产生大量的气体;16S rRNA序列比对表明其与GenBank中的Megasphaera hominis与Uncultured rumen bacterium 3c3d-18的同源性最高,同源性高达99%。菌株LB01可以利用乳酸,并将其主要转化为丁酸和丙酸,在有葡萄糖的情况下,菌株LB01尚能够利用乙酸并生成丁酸。与乳杆菌K9共培养时,菌株LB01有效地利用了乳杆菌K9代谢过程中产生的乳酸,减缓了由于乳酸积累而造成的pH值下降,并且将乳酸转化为丁酸和丙酸。这些代谢特征表明菌株LB01是一株具有潜在应用价值的肠道益生菌,它能够利用乳酸和乙酸(补充额外能量),能有效地防止乳酸和乙酸的积累,同时生成包括丁酸在内有益的短链脂肪酸,调控后肠道pH,营造着微酸的环境。     

Homology-directed repair protects the replicating genome from metabolic assaults

1. Download : Download high-res image (166KB)
2. Download : Download full-size image

     

一株瘤胃源乳酸利用菌的分离鉴定及其体外代谢特性

【目的】从饲喂高精料的本地山羊瘤胃内分离到一株利用乳酸并能产生大量丙酸的菌株L9,并进一步研究了该菌在调控瘤胃微生物发酵中的作用。【方法】采用厌氧培养技术,结合形态、生理生化特性和16SrRNA基因序列分析结果。【结果】该菌株被鉴定为反刍兽新月形单胞菌（Selenomonas ruminantium）。该菌株体外代谢特性研究表明,L9可利用乳酸作为唯一碳源,该菌在24h内可对90mmol／L的乳酸完全降解。体外摸拟瘤胃急性酸中毒的发酵试验结果表明,以淀粉为底物时,与对照组相比,添加菌株L9可显著降低瘤胃微生物体外培养体系中乳酸浓度,提高pH值,提高总挥发性脂肪酸和丙酸浓度,并显著降低乙酸与丙酸的浓度比（P〈0．05）。【结论】结果显示,菌株L9是一株可代谢乳酸,促进丙酸生成,提高总挥发性脂肪酸浓度的有益瘤胃细菌。     

Complete genome sequence of Acidaminococcus intestini RYC-MR95, a Gram-negative bacterium from the phylum Firmicutes

Acidaminococcus intestini belongs to the family Acidaminococcaceae, order Selenomonadales, class Negativicutes, phylum Firmicutes. Negativicutes show the double-membrane system of Gram-negative bacteria, although their chromosomal backbone is closely related to that of Gram-positive bacteria of the phylum Firmicutes. The complete genome of a clinical A. intestini strain is here presented.     

Reconstructing recombination network from sequence data: the small parsimony problem

The small parsimony problem is studied for reconstructing recombination networks from sequence data. The small parsimony problem is polynomial-time solvable for phylogenetic trees. However, the problem is proved NP-hard even for galled recombination networks. A dynamic programming algorithm is also developed to solve the small parsimony problem. It takes O(dn2(3h)) time on an input recombination network over length-d sequences in which there are h recombination and n - h tree nodes.     

The genome of Desulfotalea psychrophila, a sulfate-reducing bacterium from permanently cold Arctic sediments

Desulfotalea psychrophila is a marine sulfate-reducing delta-proteobacterium that is able to grow at in situ temperatures below 0 degrees C. As abundant members of the microbial community in permanently cold marine sediments, D. psychrophila-like bacteria contribute to the global cycles of carbon and sulfur. Here, we describe the genome sequence of D. psychrophila strain LSv54, which consists of a 3 523 383 bp circular chromosome with 3118 predicted genes and two plasmids of 121 586 bp and 14 663 bp. Analysis of the genome gave insight into the metabolic properties of the organism, e.g. the presence of TRAP-T systems as a major route for the uptake of C(4)-dicarboxylates, the unexpected presence of genes from the TCA cycle, a TAT secretion system, the lack of a beta-oxidation complex and typical Desulfovibrio cytochromes, such as c(553), c(3) and ncc. D. psychrophila encodes more than 30 two-component regulatory systems, including a new Ntr subcluster of hybrid kinases, nine putative cold shock proteins and nine potentially cold shock-inducible proteins. A comparison of D. psychrophila's genome features with those of the only other published genome from a sulfate reducer, the hyperthermophilic archaeon Archaeoglobus fulgidus, revealed many striking differences, but only a few shared features.     

Draft genome sequence of the purple photosynthetic bacterium Phaeospirillum molischianum DSM120, a particularly versatile bacterium

Here we present the draft genome sequence of the versatile and adaptable purple photosynthetic bacterium Phaeospirillum molischianum DSM120. This study advances the understanding of the adaptability of this bacterium, as well as the differences between the Phaeospirillum and Rhodospirillum genera.     

Metabolomics- and proteomics-assisted genome annotation and analysis of the draft metabolic network of Chlamydomonas reinhardtii

We present an integrated analysis of the molecular repertoire of Chlamydomonas reinhardtii under reference conditions. Bioinformatics annotation methods combined with GCxGC/MS-based metabolomics and LC/MS-based shotgun proteomics profiling technologies have been applied to characterize abundant proteins and metabolites, resulting in the detection of 1069 proteins and 159 metabolites. Of the measured proteins, 204 currently do not have EST sequence support; thus a significant portion of the proteomics-detected proteins provide evidence for the validity of in silico gene models. Furthermore, the generated peptide data lend support to the validity of a number of proteins currently in the proposed model stage. By integrating genomic annotation information with experimentally identified metabolites and proteins, we constructed a draft metabolic network for Chlamydomonas. Computational metabolic modeling allowed an identification of missing enzymatic links. Some experimentally detected metabolites are not producible by the currently known and annotated enzyme set, thus suggesting entry points for further targeted gene discovery or biochemical pathway research. All data sets are made available as supplementary material as well as web-accessible databases and within the functional context via the Chlamydomonas-adapted MapMan annotation platform. Information of identified peptides is also available directly via the JGI-Chlamydomonas genomic resource database (http://genome.jgi-psf.org/Chlre3/Chlre3.home.html).