gb4gv: a genome browser for geminivirus

BACKGROUND

Geminiviruses (family Geminiviridae) are prevalent plant viruses that imperil agriculture globally, causing serious damage to the livelihood of farmers, particularly in developing countries. The virus evolves rapidly, attributing to its single-stranded genome propensity, resulting in worldwide circulation of diverse and viable genomes. Genomics is a prominent approach taken by researchers in elucidating the infectious mechanism of the virus. Currently, the NCBI Viral Genome website is a popular repository of viral genomes that conveniently provides researchers a centralized data source of genomic information. However, unlike the genome of living organisms, viral genomes most often maintain peculiar characteristics that fit into no single genome architecture. By imposing a unified annotation scheme on the myriad of viral genomes may downplay their hallmark features. For example, the viron of begomoviruses prevailing in America encapsulates two similar-sized circular DNA components and both are required for systemic infection of plants. However, the bipartite components are kept separately in NCBI as individual genomes with no explicit association in linking them. Thus, our goal is to build a comprehensive Geminivirus genomics database, namely gb4gv, that not only preserves genomic characteristics of the virus, but also supplements biologically relevant annotations that help to interrogate this virus, for example, the targeted host, putative iterons, siRNA targets, etc.

METHODS

We have employed manual and automatic methods to curate 508 genomes from four major genera of Geminiviridae, and 161 associated satellites obtained from NCBI RefSeq and PubMed databases.

RESULTS

These data are available for free access without registration from our website. Besides genomic content, our website provides visualization capability inherited from UCSC Genome Browser.

DISCUSSION

With the genomic information readily accessible, we hope that our database will inspire researchers in gaining a better understanding of the incredible degree of diversity of these viruses, and of the complex relationships within and between the different genera in the Geminiviridae.

AVAILABILITY AND IMPLEMENTATION

The database can be found at: http://gb4gv.lafayette.edu.

CRISPR/Cas9-mediated deletion of lncRNA Gm26878 in the distant Foxf1 enhancer region

Recent genome editing techniques, including CRISPR mutagenesis screens, offer unparalleled opportunities to study the regulatory non-coding genomic regions, enhancers, promoters, and functional non-coding RNAs. Heterozygous point mutations in FOXF1 and genomic deletion copy-number variants at chromosomal region 16q24.1 involving FOXF1 or its regulatory region mapping ~300 kb upstream of FOXF1 and leaving it intact have been identified in the vast majority of patients with a lethal neonatal lung disease, alveolar capillary dysplasia with misalignment of pulmonary veins (ACDMPV). Homozygous Foxf1 ^-/- mice have been shown to die by embryonic day 8.5 because of defects in the development of extraembryonic and lateral mesoderm-derived tissues, whereas heterozygous Foxf1 ^+/- mice exhibit features resembling ACDMPV. We have previously defined a human lung-specific enhancer region encoding two long non-coding RNAs, LINC01081 and LINC01082, expressed in the lungs. To investigate the biological significance of lncRNAs in the Foxf1 enhancer region, we have generated a CRISPR/Cas9-mediated ~2.4 kb deletion involving the entire lncRNA-encoding gene Gm26878, located in the mouse region syntenic with the human Foxf1 upstream enhancer. Very recently, this mouse genomic region has been shown to function as a Foxf1 enhancer. Our results indicate that homozygous loss of Gm26878 is neonatal lethal with low penetrance. No changes in Foxf1 expression were observed, suggesting that the regulation of Foxf1 expression differs between mouse and human.

GeneNetwork: A Toolbox for Systems Genetics

The goal of systems genetics is to understand the impact of genetic variation across all levels of biological organization, from mRNAs, proteins, and metabolites, to higher-order physiological and behavioral traits. This approach requires the accumulation and integration of many types of data, and also requires the use of many types of statistical tools to extract relevant patterns of covariation and causal relations as a function of genetics, environment, stage, and treatment. In this protocol we explain how to use the GeneNetwork web service, a powerful and free online resource for systems genetics. We provide workflows and methods to navigate massive multiscalar data sets and we explain how to use an extensive systems genetics toolkit for analysis and synthesis. Finally, we provide two detailed case studies that take advantage of human and mouse cohorts to evaluate linkage between gene variants, addiction, and aging.

A guide to genome-wide association analysis and post-analytic interrogation

This tutorial is a learning resource that outlines the basic process and provides specific software tools for implementing a complete genome‐wide association analysis. Approaches to post‐analytic visualization and interrogation of potentially novel findings are also presented. Applications are illustrated using the free and open‐source R statistical computing and graphics software environment, Bioconductor software for bioinformatics and the UCSC Genome Browser. Complete genome‐wide association data on 1401 individuals across 861,473 typed single nucleotide polymorphisms from the PennCATH study of coronary artery disease are used for illustration. All data and code, as well as additional instructional resources, are publicly available through the Open Resources in Statistical Genomics project: http://www.stat-gen.org. © 2015 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd.

GPAC-genome presence/absence compiler: a web application to comparatively visualize multiple genome-level changes

Our understanding of genome-wide and comparative sequence information has been broadened considerably by the databases available from the University of California Santa Cruz (UCSC) Genome Bioinformatics Department. In particular, the identification and visualization of genomic sequences, present in some species but absent in others, led to fundamental insights into gene and genome evolution. However, the UCSC tools currently enable one to visualize orthologous genomic loci for a range of species in only a single locus. For large-scale comparative analyses of such presence/absence patterns a multilocus view would be more desirable. Such a tool would enable us to compare thousands of relevant loci simultaneously and to resolve many different questions about, for example, phylogeny, specific aspects of genome and gene evolution, such as the gain or loss of exons and introns, the emergence of novel transposed elements, nonprotein-coding RNAs, and viral genomic particles. Here, we present the first tool to facilitate the parallel analysis of thousands of genomic loci for cross-species presence/absence patterns based on multiway genome alignments. This genome presence/absence compiler uses annotated or other compilations of coordinates of genomic locations and compiles all presence/absence patterns in a flexible, color-coded table linked to the individual UCSC Genome Browser alignments. We provide examples of the versatile information content of such a screening system especially for 7SL-derived transposed elements, nuclear mitochondrial DNA, DNA transposons, and miRNAs in primates (http://www.bioinformatics.uni-muenster.de/tools/gpac, last accessed October 1, 2014).

Chromatin immunoprecipitation for human monocyte derived macrophages

The importance of Chromatin Immunoprecipitation (ChIP) technology has grown exponentially along with an increased interest in epigenetic regulation. The correlation of transcription factors with histone marks is now well established as the center of epigenetic studies; therefore, precise knowledge about histone marks is critical to unravel their molecular function and to understand their role in biological systems. This knowledge constantly accumulates and is provided openly in the expanding hubs of information such as the USCS Genome Browser. Nevertheless, as we gain more knowledge, we realize that the DNA-protein interactions are not driven by a "one size fits all" rule. Also, the diversity of interactions between DNA, histones, and transcriptional regulators is much bigger than previously considered. Besides a detailed protocol of sample preparation for the ChIP assay from primary human monocyte-derived macrophages (MDM) [an acceptable in vitro model for primary, human macrophage cells], we show that differences between various types of cells exist. Furthermore, we can postulate that such variations exist between transformed macrophage-like cell lines and primary macrophages obtained from healthy volunteers. We found that the most efficient fixation time for MDM is 10min. Finally, to perform multiple analytical assays, we showed that even with thorough methodology, the yield of material obtained from primary cells is the major challenge.

The UCSC Genome Browser: What Every Molecular Biologist Should Know

Electronic data resources can enable molecular biologists to quickly get information from around the world that a decade ago would have been buried in papers scattered throughout the library. The ability to access, query, and display these data makes benchwork much more efficient and drives new discoveries. Increasingly, mastery of software resources and corresponding data repositories is required to fully explore the volume of data generated in biomedical and agricultural research, because only small amounts of data are actually found in traditional publications. The UCSC Genome Browser provides a wealth of data and tools that advance understanding of genomic context for many species, enable detailed analysis of data, and provide the ability to interrogate regions of interest across disparate data sets from a wide variety of sources. Researchers can also supplement the standard display with their own data to query and share this with others. Effective use of these resources has become crucial to biological research today, and this unit describes some practical applications of the UCSC Genome Browser.