DnaSAM: Software to perform neutrality testing for large datasets with complex null models

Patterns of DNA sequence polymorphisms can be used to understand the processes of demography and adaptation within natural populations. High-throughput generation of DNA sequence data has historically been the bottleneck with respect to data processing and experimental inference. Advances in marker technologies have largely solved this problem. Currently, the limiting step is computational, with most molecular population genetic software allowing a gene-by-gene analysis through a graphical user interface. An easy-to-use analysis program that allows both high-throughput processing of multiple sequence alignments along with the flexibility to simulate data under complex demographic scenarios is currently lacking. We introduce a new program, named DnaSAM, which allows high-throughput estimation of DNA sequence diversity and neutrality statistics from experimental data along with the ability to test those statistics via Monte Carlo coalescent simulations. These simulations are conducted using the ms program, which is able to incorporate several genetic parameters (e.g. recombination) and demographic scenarios (e.g. population bottlenecks). The output is a set of diversity and neutrality statistics with associated probability values under a user-specified null model that are stored in easy to manipulate text file.     

MPA: a multiple peak alignment algorithm to perform multiple comparisons of liquid-phase proteomic profiles

Present proteomic studies increasingly address experimental strategies focused on multiple comparisons of proteomic profiles. To accomplish semiautomatic protein separations based on 2-D LC, the Beckman Coulter PF2D has been developed. Here, we present a novel general purpose tool called MPA (multiple peak alignment) able to perform multiple comparisons of proteomic profiles both in a pairwise guided fashion and in a fully automatic mode using a strategy based on dynamic programing and progressive alignment of time series. The tool is available at http://grup.cribi.unipd.it/people/stefano/mpa/.     

An automated system for genome analysis to support microbial whole-genome shotgun sequencing

We developed a semi-automated genome analysis system called GAMBLER in order to support the current whole-genome sequencing project focusing on alkaliphilic Bacillus halodurans C-125. GAMBLER was designed to reduce the human intervention required and to reduce the complications in annotating thousands of ORFs in the microbial genome. GAMBLER automates three major routines: analyzing assembly results provided by genome assembler software, assigning ORFs, and homology searching. GAMBLER is equipped with an interface for convenience of annotation. All processes and options are manipulatable through a WWW browser that enables scientists to share their genome analysis results without choosing computer platforms.     

Fully automated single-use stirred-tank bioreactors for parallel microbial cultivations

Single-use stirred tank bioreactors on a 10-mL scale operated in a magnetic-inductive bioreaction block for 48 bioreactors were equipped with individual stirrer-speed tracing, as well as individual DO- and pH-monitoring and control. A Hall-effect sensor system was integrated into the bioreaction block to measure individually the changes in magnetic field density caused by the rotating permanent magnets. A restart of the magnetic inductive drive was initiated automatically each time a Hall-effect sensor indicates one non-rotating gas-inducing stirrer. Individual DO and pH were monitored online by measuring the fluorescence decay time of two chemical sensors immobilized at the bottom of each single-use bioreactor. Parallel DO measurements were shown to be very reliable and independently from the fermentation media applied in this study for the cultivation of Escherichia coli and Saccharomyces cerevisiae. The standard deviation of parallel pH measurements was pH 0.1 at pH 7.0 at the minimum and increased to a standard deviation of pH 0.2 at pH 6.0 or at pH 8.5 with the complex medium applied for fermentations with S. cerevisiae. Parallel pH-control was thus shown to be meaningful with a tolerance band around the pH set-point of ± pH 0.2 if the set-point is pH 6.0 or lower.     

Using between-model comparisons to fine-tune linear models of species ranges

Aim To offer an objective approach to some of the problems associated with the development of logistic regression models: how to compare different models, determination of sample size adequacy, the influence of the ratio of positive to negative cells on model accuracy, and the appropriate scale at which the hypothesis of a non‐random distribution should be tested. Location Test data were taken from Southern Africa. Methods The approach relies mainly on the use of the AUC (Area under the Curve) statistic, based on ROC (threshold Receiver Operating Characteristic) plots, for between‐model comparisons. Data for the distribution of the bont tick Amblyomma hebraeum Koch (Acari: Ixodidae) are used to illustrate the methods. Results Methods for the estimation of minimum sample sizes and more accurate hypothesis‐testing are outlined. Logistic regression is robust to the assumption that uncollected cells can be scored as negative, provided that the sample size of cells scored as positive is adequate. The variation in temperature and rainfall at localities where A. hebraeum has been collected is significantly lower than expected from a random sample of points across the data set, suggesting that within‐site variation may be an important determinant of its distribution. Main conclusions Between‐model comparisons relying on AUCs can be used to enhance objectivity in the development and refinement of logistic regression models. Both between‐site and within‐site variability should be considered as potentially important factors determining species distributions.     

Interregional comparisons of sediment microbial respiration in streams

• 1 The rate of microbial respiration on fine‐grained stream sediments was measured at 371 first to fourth‐order streams in the Central Appalachian region (Maryland, Pennsylvania, Virginia, and West Virginia), Southern Rocky Mountains (Colorado), and California's Central Valley in 1994 and 1995.
• 2 Study streams were randomly selected from the United States Environmental Protection Agency's (USEPA) River Reach File (RF3) using the sample design developed by USEPA's Environmental Monitoring and Assessment Program (EMAP).
• 3 Respiration rate ranged from 0 to 0.621 g O₂ g^‐1 AFDM h^‐1 in Central Appalachian streams, 0‐0.254 g O₂ g^‐1 AFDM h^‐1 in Rocky Mountain streams, and 0‐0.436 g O₂ g^‐1 AFDM h^‐1 in Central Valley streams.
• 4 Respiration was significantly lower in Southern Rocky Mountain streams and in cold water streams (< 15 °C) of the Central Appalachians.
• 5 Within a defined index period, respiration was not significantly different between years, and was significantly correlated with stream temperature and chemistry (DOC, total N, total P, K, Cl, and alkalinity).
• 6 The uniformity of respiration estimates among the three study regions suggests that sediment microbial respiration may be collected at any number of scales above the site‐level for reliable prediction of respiration patterns at larger spatial scales.

     

Development of an automated microbial sensor system

An automated whole cell biosensor system was developed by integration of immobilized microbial cells in a flow-through system with screen-printed flow-through electrodes as detectors. The detectors used were thick-film Pt-electrodes in a 3-electrode configuration constructed as sandwich flow-through cells with a volume of about 36 microliters polarized at -900 mV. The measuring principle was the determination of oxygen consumption due to the microbial metabolism. Fructose was used as model analyte. The microorganisms were immobilized on cellulose-acetate membranes and integrated into a newly created reaction chamber (membrane reactor). The microbial cells used were Rhodococcus erythropolis and Issatchenkia orientalis known to be suitable for the determination of biological oxygen demand.     

Mesophilic and thermophilic conditions select for unique but highly parallel microbial communities to perform carboxylate platform biomass conversion

The carboxylate platform is a flexible, cost-effective means of converting lignocellulosic materials into chemicals and liquid fuels. Although the platform's chemistry and engineering are well studied, relatively little is known about the mixed microbial communities underlying its conversion processes. In this study, we examined the metagenomes of two actively fermenting platform communities incubated under contrasting temperature conditions (mesophilic 40°C; thermophilic 55 °C), but utilizing the same inoculum and lignocellulosic feedstock. Community composition segregated by temperature. The thermophilic community harbored genes affiliated with Clostridia, Bacilli, and a Thermoanaerobacterium sp, whereas the mesophilic community metagenome was composed of genes affiliated with other Clostridia and Bacilli, Bacteriodia, γ-Proteobacteria, and Actinobacteria. Although both communities were able to metabolize cellulosic materials and shared many core functions, significant differences were detected with respect to the abundances of multiple Pfams, COGs, and enzyme families. The mesophilic metagenome was enriched in genes related to the degradation of arabinose and other hemicellulose-derived oligosaccharides, and the production of valerate and caproate. In contrast, the thermophilic community was enriched in genes related to the uptake of cellobiose and the transfer of genetic material. Functions assigned to taxonomic bins indicated that multiple community members at either temperature had the potential to degrade cellulose, cellobiose, or xylose and produce acetate, ethanol, and propionate. The results of this study suggest that both metabolic flexibility and functional redundancy contribute to the platform's ability to process lignocellulosic substrates and are likely to provide a degree of stability to the platform's fermentation processes.     

Standard percent DNA sequence difference for insects does not predict species boundaries

Diagnosis and assessment of species boundaries of economically important insects are often problematic because of limited morphological and/or biological characters. DNA data can help to identify and revise species. Nonoverlapping intra- and interspecific sequence divergences are often used as evidence for species. Thus, the establishment of a standardized percent nucleotide divergence to predict species boundaries would aid in cases where species status is suspect. However, given variation in nucleotide mutation rates and species concepts, association between a standard percent sequence divergence and species is questionable. This review surveys the percent DNA sequence difference found between sister-species of economically important insects, to assess whether a standard divergence associates with all taxa. Sixty-two comparisons of intra- and interspecific pairwise DNA differences were made for mitochondrial and nuclear loci spanning families of Isoptera, Phthiraptera, Hemiptera, Coleoptera, Lepidoptera, Diptera, and Hymenoptera. Intra- and interspecific sequence divergences varied widely among insects, 0.04-26.0 and 1.0-30.7%, respectively. The ranges of intra- and interspecific sequence divergences overlapped in 28 of 62 comparisons. This implies that a standardized percent sequence divergence would fail to correctly diagnose species for 45% of the cases. Common occurrence of nonmonophyly among closely related species probably explains this observation. Nonmonophyly and overlap of intra- and interspecific divergences were significantly associated. The reviewed studies suggest that a standard percent sequence divergence does not predict species boundaries among economically important insects. DNA data can help best to predict species boundaries via its inclusion in nonphenetic phylogenetic analysis and subsequent systematic expert scrutiny.     

NOO3D: A procedure to perform 3D species distribution models

There is consensus surrounding the need to include a third dimension when estimating Species Distribution Models (SDMs), which is of special interest for marine species. Application of the third dimension is, however, rarely available, thus users are obliged to manually combine 2D SDM outputs (i.e., suitability or presence/absence maps) for 3D distribution generation. Herein, the Niche of Occurrence 3D (NOO3D) is presented, which is a new, simple modelling procedure that provides 3D distributions using both 3D occurrence samples and environmental datasets that consist of one layer per depth value. NOO3D performance was evaluated using five virtual marine species to avoid errors associated with real data sets (three pelagic species, with wide, medium, and narrow distributions, respectively, a mesopelagic species and an abyssal species). These virtual species are distributed across the North Atlantic Ocean and were built to a 0.5° x 0.5° resolution and considering 49 depth levels (from 0.43 m to an undersea depth of 5274.7 m). NOO3D results were also compared to those provided by 3D Alpha Shapes and Maximum Entropy (MaxEnt). The True Positive Rate (TPR), or sensitivity, True Negative Rate (TNR), or specificity, False Positive Rate (FPR), or commission error, and False Negative Rate (FNR), or omission error, were employed in order to facilitate comparison between methods. MaxEnt performed best for TPR, TSS and FNR, and Alpha Shape 3D performed best for FPR and TNR. NOO3D was always the second-ranked method for all metrics considered, which indicates that it was the most suitable method. The provided results indicate that NOO3D can be considered a viable alternative in achieving three-dimensional species distribution models.     

Evaluation of the Biolog automated microbial identification system

Biolog's identification system was used to identify 39 American Type Culture Collection reference taxa and 45 gram-negative isolates from water samples. Of the reference strains, 98% were identified to genus level and 76% to species level within 4 to 24 h. Identification of some authentic strains of Enterobacter, Klebsiella, and Serratia was unreliable. A total of 93% of the water isolates were identified.     

Survival curves for microbial species stored by freeze-drying

The survival of a variety of species of microorganism following storage for up to 20 years has been analyzed. The organisms were freeze-dried, sealed in ampoules under vacuum (<1 Pa) and stored in the dark at 5 degrees C. The yeast that was tested, Saccharomyces cerevisiae, showed only 8% survival when recovered shortly after freeze-drying, but subsequent loss during storage was the least among all the tested microorganisms. The decrease in the logarithm of survival per year (log survival) was -0.010, which corresponds to a survival rate of 97.7% per year. The Gram-negative bacteria tested, Escherichia coli, Pseudomonas putida, and Enterobacter cloacae, showed 42.6, 33.5, and 50.8% survival shortly after freeze-drying, which was higher than the corresponding survival of S. cerevisiae, but the subsequent loss during storage was greater than S. cerevisiae, the log survival figures being -0.041, -0.058, and -0.073 per year. These values correspond to survival rates of 91.0, 87.5, and 84.5% each year. The Gram-positive bacteria tested, Lactobacillus acidophilus and Enteroccoccus faecium, showed 62.5 and 85.2% survival shortly after freeze-drying, which was even higher than that of the Gram-negative species, and these organisms also showed better survival during storage than Gram-negative bacteria; their log survival rates were -0.018 and -0.016 per year, which corresponded to survival rates of almost 96% per year. Comparison of these results with other published data for different drying conditions suggests that survival during storage is strongly influenced by the degree of vacuum under which the ampoules were sealed. The excellent survival after freeze-drying of each species might be attributable to the high level of desiccation and to sealing under vacuum.     

初学者做好蛋白质SDS—PAGE需要注意的一些问题

针对初学者在做蛋白质SDS—PAGE时经常遇到的一些问题提出了一些切实可行的解决办法。     

高通量自动化微生物微液滴进化培养与筛选技术及其装备化

液滴微流控由于可以快速生成大量微液滴,并实现单个液滴独立的控制,每个液滴都可以作为独立的单元进行微生物培养,因此在微生物的高通量培养方面具有独特的应用优势.然而现有研究多停留在实验室搭建和使用阶段,存在操作要求高、影响因素多、缺乏自动化集成技术等关键问题,制约了液滴微流控技术在微生物研究中的应用.文中以解决液滴微流控技...     

An automated comparative analysis of 17 complete microbial genomes

MOTIVATION: As sequenced genomes become larger and sequencing becomes faster, there is a need to develop accurate automated genome comparison techniques and databases to facilitate derivation of genome functionality; identification of enzymes, putative operons and metabolic pathways; and to derive phylogenetic classification of microbes. RESULTS: This paper extends an automated pair-wise genome comparison technique (Bansal et al., Math. Model. Sci. Comput., 9, 1-23, 1998, Bansal and Bork, in First International Workshop of Declarative Languages, Springer, pp. 275-289, 1999) used to identify orthologs and gene groups to derive orthologous genes in a group of genomes and to identify genes with conserved functionality. Seventeen microbial genomes archived at ftp://ncbi.nlm.nih.gov/genbank/genomes have been compared using the automated technique. Data related to orthologs, gene groups, gene duplication, gene fusion, orthologs with conserved functionality, and genes specifically orthologous to Escherichia coli and pathogens has been presented and analyzed. AVAILABILITY: A prototype database is available at ftp://www.mcs.kent.edu/arvind/intellibio / orthos.html. The software is free for academic research under an academic license. The detailed database for every microbial genome in NCBI is commercially available through intellibio software and consultancy corporation (Web site: http://www.mcs.kent.edu/?rvind/intellibio . html). CONTACT: arvind@mcs.kent.edu.     

Evaluation of the Biolog automated microbial identification system.

Biolog's identification system was used to identify 39 American Type Culture Collection reference taxa and 45 gram-negative isolates from water samples. Of the reference strains, 98% were identified to genus level and 76% to species level within 4 to 24 h. Identification of some authentic strains of Enterobacter, Klebsiella, and Serratia was unreliable. A total of 93% of the water isolates were identified.     

NotI passporting to identify species composition of complex microbial systems

We describe here a new method for large-scale scanning of microbial genomes on a quantitative and qualitative basis. To achieve this aim we propose to create NotI passports: databases containing NotI tags. We demonstrated that these tags comprising 19 bp of sequence information could be successfully generated using DNA isolated from intestinal or fecal samples. Such NotI passports allow the discrimination between closely related bacterial species and even strains. This procedure for generating restriction site tagged sequences (RSTS) is called passporting and can be adapted to any other rare cutting restriction enzyme. A comparison of 1312 tags from available sequenced Escherichia coli genomes, generated with the NotI, PmeI and SbfI restriction enzymes, revealed only 219 tags that were not unique. None of these tags matched human or rodent sequences. Therefore the approach allows analysis of complex microbial mixtures such as in human gut and identification with high accuracy of a particular bacterial strain on a quantitative and qualitative basis.