Gene enrichment in plant genomic shotgun libraries

The Arabidopsis genome (about 130 Mbp) has been completely sequenced; whereas a draft sequence of the rice genome (about 430 Mbp) is now available and the sequencing of this genome will be completed in the near future. The much larger genomes of several important crop species, such as wheat (about 16,000 Mbp) or maize (about 2500 Mbp), may not be fully sequenced with current technology. Instead, sequencing-analysis strategies are being developed to obtain sequencing and mapping information selectively for the genic fraction (gene space) of complex plant genomes.     

PatternLab for proteomics: a tool for differential shotgun proteomics

Background  

A goal of proteomics is to distinguish between states of a biological system by identifying protein expression differences. Liu et al. demonstrated a method to perform semi-relative protein quantitation in shotgun proteomics data by correlating the number of tandem mass spectra obtained for each protein, or "spectral count", with its abundance in a mixture; however, two issues have remained open: how to normalize spectral counting data and how to efficiently pinpoint differences between profiles. Moreover, Chen et al. recently showed how to increase the number of identified proteins in shotgun proteomics by analyzing samples with different MS-compatible detergents while performing proteolytic digestion. The latter introduced new challenges as seen from the data analysis perspective, since replicate readings are not acquired.     

cid: a rapid and efficient bioinformatic tool for the detection of SSRs from genomic libraries

cid is a computational tool developed in the Web environment to process cloned DNA fragments with the objective of masking the vector and adaptor regions, detecting the presence of microsatellites and designing the most appropriate primer pairs for the amplification of the identified repetitive sequences. This entire process is executed by the user in a simple and automated manner with the data input as a Zip file of chromatograms or a multiFASTA file. Thus, it is possible to analyse dozens of sequences at the same time, optimizing data processing and the search for the information of interest. cid is freely available on http://www.shrimp.ufscar.br/cid/index.php.     

solGS: a web-based tool for genomic selection

Background

Genomic selection (GS) promises to improve accuracy in estimating breeding values and genetic gain for quantitative traits compared to traditional breeding methods. Its reliance on high-throughput genome-wide markers and statistical complexity, however, is a serious challenge in data management, analysis, and sharing. A bioinformatics infrastructure for data storage and access, and user-friendly web-based tool for analysis and sharing output is needed to make GS more practical for breeders.

Results

We have developed a web-based tool, called solGS, for predicting genomic estimated breeding values (GEBVs) of individuals, using a Ridge-Regression Best Linear Unbiased Predictor (RR-BLUP) model. It has an intuitive web-interface for selecting a training population for modeling and estimating genomic estimated breeding values of selection candidates. It estimates phenotypic correlation and heritability of traits and selection indices of individuals. Raw data is stored in a generic database schema, Chado Natural Diversity, co-developed by multiple database groups. Analysis output is graphically visualized and can be interactively explored online or downloaded in text format. An instance of its implementation can be accessed at the NEXTGEN Cassava breeding database, http://cassavabase.org/solgs.

Conclusions

solGS enables breeders to store raw data and estimate GEBVs of individuals online, in an intuitive and interactive workflow. It can be adapted to any breeding program.

Electronic supplementary material

The online version of this article (doi:10.1186/s12859-014-0398-7) contains supplementary material, which is available to authorized users.     

InSatDb: a genomic tool for insect geneticists

Microsatellites show tremendous variation between genomes in terms of their occurrence and composition. Availability of whole genome sequences allows us to study microsatellite characteristics of fully sequenced insect genomes to understand the evolution and biological significance of microsatellites. InSatDb is an insect microsatellite database that provides an interactive interface to query information on microsatellites annotated with size (in base pairs and repeat units), genomic location (exon, intron, up-stream or transposon), nature (perfect or imperfect), and sequence composition (repeat motif and GC%). Here we present a snapshot of the distribution and composition of microsatellites in introns and exons of insect genomes. The data present interesting observations regarding the microsatellite life-cycle and genome flux.     

LSID Tester,a tool for testing Life Science Identifier resolution services

Background  

Life Science Identifiers (LSIDs) are persistent, globally unique identifiers for biological objects. The decentralised nature of LSIDs makes them attractive for identifying distributed resources. Data of interest to biodiversity researchers (including specimen records, images, taxonomic names, and DNA sequences) are distributed over many different providers, and this community has adopted LSIDs as the identifier of choice.     

Phydbac "Gene Function Predictor" : a gene annotation tool based on genomic context analysis

Background  

The large amount of completely sequenced genomes allows genomic context analysis to predict reliable functional associations between prokaryotic proteins. Major methods rely on the fact that genes encoding physically interacting partners or members of shared metabolic pathways tend to be proximate on the genome, to evolve in a correlated manner and to be fused as a single sequence in another organism.     

Microsatellite markers for Vaccinium from EST and genomic libraries

We present 30 microsatellite loci isolated from expressed sequence tag (EST) and genomic libraries in Vaccinium corymbosum L. Allele number per locus in 11 tetraploid and one diploid V. corymbosum accessions ranged from two to 15 (mean = 8.16) in 24 single‐locus simple sequence repeats (SSRs). Cross‐species amplification in a panel of 12 species representing nine sections ranged from 30 to 100% (mean = 83%).     

RAPD-based screening of genomic libraries for positional cloning.

RAPD markers are frequently used for positional cloning. However, RAPD markers often contain repeated sequences which prevent genomic library screening by hybridisation. We have developed a simple RAPD analysis of genomic libraries based on the identification of cosmid pools and clones amplifying the RAPD marker of interest. Our method does not require the cloning or characterisation of the RAPD marker as it relies on the analysis of cosmid pools or clones using a simple RAPD protocol. We applied this strategy using four RAPD markers composed of single copy or repeated sequences linked to avirulence genes of the rice blast fungus Magnaporthe grisea . Cosmids containing these RAPD markers were easily and rapidly identified allowing the construction of physical contigs at these loci.     

On cloning and clone libraries for finite and infinite length genomes

This paper develops mathematical theory to determine the representativeness of clone libraries for various models, defined below in the text. In particular, the means and variances of fragment lengths and the mean of the length of a randomly selected fragment are determined, as well as the probability of the event that a particular base pair of a given double-stranded DNA sequence is clonable. Further, some results are given for partial digestion where the digest is stopped before all cuts are made. A summary is given comparing the main biological conclusions from assuming that the length of the genome is (effectively) infinite with the corresponding conclusions from the more realistic assumption that the genome is of finite length.     

Probe-based negative selection for underrepresented phylotypes in large environmental clone libraries

Studies based on cloning and sequencing to investigate microbial diversity in a vast range of samples has become widespread in recent years. Results have revealed immense microbial diversity in many different environments, but also dominance of a few sequence types in the constructed clone libraries. Here we describe a method to enrich the clone libraries by avoiding sequencing of known, abundant sequence types, instead focusing on novel, rare ones. The protocol is based on gridding the PCR products from clone libraries on membranes and hybridisation of species-specific probes. Clones that do not give positive hybridisation results are sequenced. This method was used for fungal clone libraries from compost samples. Altogether 1536 clones were gridded and six probes used. From these clones, 59% hybridised with a probe, and therefore, only 41% of the clones were sequenced. In addition, 384 samples were sequenced to verify the hybridisation results. The numbers of false-negative (5.2%) and false-positive (3.9%) hybridisations were low. This method provides a mean of lowering the costs of sequencing projects and speeding up the process of characterising microbial diversity in environmental samples. The method is especially suitable for samples with a few dominating sequence types.     

DNannotator: Annotation software tool kit for regional genomic sequences

Sequence annotation is essential for genomics-based research. Investigators of a specific genomic region who have developed abundant local discoveries such as genes and genetic markers, or have collected annotations from multiple resources, can be overwhelmed by the difficulty in creating local annotation and the complexity of integrating all the annotations. Presenting such integrated data in a form suitable for data mining and high-throughput experimental design is even more daunting. DNannotator, a web application, was designed to perform batch annotation on a sizeable genomic region. It takes annotation source data, such as SNPs, genes, primers, and so on, prepared by the end-user and/or a specified target of genomic DNA, and performs de novo annotation. DNannotator can also robustly migrate existing annotations in GenBank format from one sequence to another. Annotation results are provided in GenBank format and in tab-delimited text, which can be imported and managed in a database or spreadsheet and combined with existing annotation as desired. Graphic viewers, such as Genome Browser or Artemis, can display the annotation results. Reference data (reports on the process) facilitating the user's evaluation of annotation quality are optionally provided. DNannotator can be accessed at http://sky.bsd.uchicago.edu/DNannotator.htm.     

A binary vector for transferring genomic libraries to plants.

The transformation of mutant plants with a complete recombinant library derived from wild-type DNA followed by assay of transformed plants for complementation of the mutant phenotype is a promising method for the isolation of plant genes. The small genome of Arabidopsis thaliana is a good candidate for attempting this so-called shotgun transformation. We present the properties of an A. thaliana genomic library cloned in a binary vector, pC22. This vector, designed to introduce genomic libraries into plants, contains the oriV of the Ri plasmid pRiHR1 by which it replicates perfectly stably in Agrobacterium. Upon transfer of the library from E. coli to A. tumefaciens large differences in transfer efficiencies of individual recombinant clones were observed. There is a direct relation between transfer efficiency and stability of the recombinant clones both in E. coli and A. tumefaciens. The stability is independent of the insert size, but seems to be related to the nature of the insert DNA. The feasibility of shotgun transformation and problems of statistical sampling are discussed.     

Using partial genomic fosmid libraries for sequencing complete organellar genomes

Organellar genome sequences provide numerous phylogenetic markers and yield insight into organellar function and molecular evolution. These genomes are much smaller in size than their nuclear counterparts; thus, their complete sequencing is much less expensive than total nuclear genome sequencing, making broader phylogenetic sampling feasible. However; for some organisms, it is challenging to isolate plastid DNA for sequencing using standard methods. To overcome these difficulties, we constructed partial genomic libraries from total DNA preparations of two heterotrophic and two autotrophic angiosperm species using fosmid vectors. We then used macroarray screening to isolate clones containing large fragments of plastid DNA. A minimum tiling path of clones comprising the entire genome sequence of each plastid was selected, and these clones were shotgun-sequenced and assembled into complete genomes. Although this method worked well for both heterotrophic and autotrophic plants, nuclear genome size had a dramatic effect on the proportion of screened clones containing plastid DNA and, consequently, the overall number of clones that must be screened to ensure full plastid genome coverage. This technique makes it possible to determine complete plastid genome sequences for organisms that defy other available organellar genome sequencing methods, especially those for which limited amounts of tissue are available.     

Optimizing restriction fragment fingerprinting methods for ordering large genomic libraries

We present a statistical analysis of the problem of ordering large genomic cloned libraries through overlap detection based on restriction fingerprinting. Such ordering projects involve a large investment of effort involving many repetitious experiments. Our primary purpose here is to provide methods of maximizing the efficiency of such efforts. To this end, we adopt a statistical approach that uses the likelihood ratio as a statistic to detect overlap. The main advantages of this approach are that (1) it allows the relatively straightforward incorporation of the observed statistical properties of the data; (2) it permits the efficiency of a particular experimental method for detecting overlap to be quantitatively defined so that alternative experimental designs may be compared and optimized; and (3) it yields a direct estimate of the probability that any two library members overlap. This estimate is a critical tool for the accurate, automatic assembly of overlapping sets of fragments into islands called "contigs." These contigs must subsequently be connected by other methods to provide an ordered set of overlapping fragments covering the entire genome.     

A chromatographic tool for preparing combinatorial quinone-thiol conjugate libraries

Quinones are well established as key players in the production of reactive oxygen species within cellular environments. Many factors govern their cytotoxicity but most studies have been restricted to a few, core, derivatives. A new strategy for the in situ production of quinone derivatives has been developed such that libraries of diverse functionality can be rapidly created without recourse to extensive synthetic procedures. The approach relies upon nucleophilic addition by reduced thiol derivatives to the quinone core within a pre-culture assay mixture and provides a generic strategy that exploits the large reservoir of commercial thiols currently available. A readily accessible chromatographic method has been developed that allows the derivatisation process to be easily monitored and the purity of the resulting one pot preparation to be assessed. The viability of the combinatorial approach has been fully validated through comparison with a range of quinone-S-conjugates prepared using conventional bench synthesis. The latter have been fully characterised.