Literature DB >> 34308098

Chromatiblock: scalable whole-genome visualization of structural differences in prokaryotes.

Mitchell John Sullivan1, Harm van Bakel1.   

Abstract

Chromatiblock is a Python application for visualizing the presence, absence and arrangement of syntenic blocks across large numbers of complete bacterial genomes. Chromatiblock is freely available under a GPL license, for macOS, GNU/Linux and Microsoft Windows from https://github.com/mjsull/chromatiblock/.

Entities:  

Year:  2020        PMID: 34308098      PMCID: PMC8297681          DOI: 10.21105/joss.02451

Source DB:  PubMed          Journal:  J Open Source Softw        ISSN: 2475-9066


Introduction

Visualizing structural variation between complete prokaryotic genomes is important for identifying the genetic basis of strain differences. This is generally accomplished by displaying the results of serial pairwise comparisons or multiple alignments in linear or circular layouts. Serial pairwise comparisons can be created using tools such as Easyfig (Sullivan, Petty, & Beatson, 2011) or GenoplotR (Guy, Roat Kultima, & Andersson, 2010) that display linear pairwise comparisons between two or more genomes. However, genomic loss, gain and structural variation can only be directly inferred for genomes adjacent to each other. Multiple alignment visualization tools such as Mauve (Darling, Mau, Blattner, & Perna, 2004) and GenomeRing (Alikhan, Petty, Ben Zakour, & Beatson, 2011) solve this issue by representing syntenic regions as blocks and using lines to connect blocks across genomes or to indicate block order, respectively. In large figures this can result in crisscrossing lines that are often difficult to interpret. Alternatively, ring plots, such as those created by the BLAST ring image generator (BRIG) (Herbig, Jäger, Battke, & Nieselt, 2012) or the CGView Comparison Tool (CCT) (Grant, Arantes, & Stothard, 2012) use a series of concentric circles to display the presence or absence of genomic regions across multiple genomes. These regions are ordered according to a reference, and as such they convey no information about their arrangement in each non-reference genome. Representing many genomes as circles can also result in large size differences between inner and outer rings, further complicating interpretation. Circos (Krzywinski et al., 2009) plots show genomes around the outside edge of a circle and represents regions of similarity as arcs, but this approach scales poorly as the number of arcs increases exponentially with each genome. Here we present Chomatiblock, an application for visualizing syntenic blocks in multiple genome alignments.

Statement of Need

Current methods of visualizing multiple genomes either don’t scale well, or only capture limited information about structural variation. With complete genomes becoming more prevalent, there is an need for a tool that can do both well. Chromatiblock was designed to create a linear visual representation of structural variation, including the presence and absence of genomic regions in an easy-to-comprehend and scalable manner, adding to the visualization options available for alignments of large numbers of complete genomes.

Implementation

Chromatiblock is a Python script available under a GPL license and runs on macOS, GNU/Linux and Microsoft Windows operating systems. Chromatiblock can be used to create publication-quality images displaying arrangement and presence of syntenic blocks. The results can also be viewed as an interactive webpage that allows the user to zoom, pan and highlight shared regions across genomes. Chromatiblock takes an extended multi-fasta alignment (MAF) file as input, which can be generated by a variety of multi-genome alignment programs (Angiuoli & Salzberg, 2011; Minkin & Medvedev, 2019). Alternatively, when provided with FASTA-formatted files for a set of genomes of interest, Chromatiblock can run Sibelia (Minkin, Patel, Kolmogorov, Vyahhi, & Pham, n.d.) to automatically generate the syntenic blocks required for input. Once syntenic blocks have been identified in the MAF file, Chromatiblock will generate a dual-panel layout consisting of a global alignment view and a detailed view of regions that differ between genomes. The global alignment view shows the arrangement of core blocks (i.e., syntenic regions found once in all genomes) in the alignment and how non-core blocks (i.e found in 2 or more genomes) and unique sequences (i.e., found in a single genome) are arranged relative to the core blocks. Core blocks are aligned according to their arrangement in the first genome. The color of the core blocks for each genome is determined by its position. Between any two adjacent core blocks there exists a combination of non-core blocks and unique sequence. This combination is grouped and positioned between the two core blocks to which they are adjacent. In instances where the group cannot be placed between its two adjacent core blocks it is placed arbitrarily next to one of the core blocks to which it is adjacent. This is indicated by removing the gap between core and non-core blocks. An example of a global alignment of 28 complete Clostridioides difficile genomes is shown in Fig. 1A. A large inversion can be observed in the third isolate from the top, indicated by a difference in ordering of core block colors relative to the reference. Plasmids, found in 9 genomes, consist entirely of non-core and unique blocks. They are positioned on the right side of the figure. The presence or absence of specific user-provided gene sequences can also be indicated by distinct gene symbols and are automatically annotated using BLASTx. In the example, six isolates contain a transposon carrying the erm(B) gene, encoding a 23S rRNA methyltransferase that confers resistance to erythromycin. The erm(B)gene is also present in an ST54 isolate but located on a novel transposon and inserted elsewhere in the genome (Fig. 1A).
Figure 1:

Chromatiblock visualization of 28 C, difficile genomes. Multi-locus sequence type (MLST) of each isolate is indicated on the left. Top) Global alignment view. Core blocks across genomes (rows) are visualized as vertically aligned solid rectangles that are colored according to their position in the genome. Non-core blocks are visualized as patterned rectangles, with each block represented by a unique combination of pattern and color. Finally, sequences unique to a single genome are depicted as solid black lines. Bottom) Alignment difference view. Each genome is represented as a row and each non-core block is assigned a column in the order they are most commonly found in the genome. Presence of each non-core block is shown as a patterned rectangle in the genomes row. As non-core blocks may be present more than once, duplicates are shown by splitting the blocks according to repeat number.

The alignment difference view shows the presence and absence of all non-core blocks. Chromatiblock can use BLAST+ to categorize and color each non-core block based on a user-provided reference database of nucleotide or amino acid FASTA files. Categories can also be assigned based on the size of the contig in which the non-core block is found. The example in Fig 1B shows that the main C. difficile pathogenicity locus (PaLoc) that contains the genes encoding the TcdA enterotoxin and TcdB cytotoxin, has been lost in the ST100 isolate. Plasmids carried by C. difficile are very chimeric, with large regions being shared, but with only the two MLST8 isolates carrying identical plasmids. In conclusion, Chromatiblock allows users to quickly and easily create publication-quality figures showing structural changes and genetic diversity at the whole genome level.
  9 in total

1.  Mauve: multiple alignment of conserved genomic sequence with rearrangements.

Authors:  Aaron C E Darling; Bob Mau; Frederick R Blattner; Nicole T Perna
Journal:  Genome Res       Date:  2004-07       Impact factor: 9.043

2.  Circos: an information aesthetic for comparative genomics.

Authors:  Martin Krzywinski; Jacqueline Schein; Inanç Birol; Joseph Connors; Randy Gascoyne; Doug Horsman; Steven J Jones; Marco A Marra
Journal:  Genome Res       Date:  2009-06-18       Impact factor: 9.043

3.  BLAST Ring Image Generator (BRIG): simple prokaryote genome comparisons.

Authors:  Nabil-Fareed Alikhan; Nicola K Petty; Nouri L Ben Zakour; Scott A Beatson
Journal:  BMC Genomics       Date:  2011-08-08       Impact factor: 3.969

4.  genoPlotR: comparative gene and genome visualization in R.

Authors:  Lionel Guy; Jens Roat Kultima; Siv G E Andersson
Journal:  Bioinformatics       Date:  2010-07-11       Impact factor: 6.937

5.  Comparing thousands of circular genomes using the CGView Comparison Tool.

Authors:  Jason R Grant; Adriano S Arantes; Paul Stothard
Journal:  BMC Genomics       Date:  2012-05-23       Impact factor: 3.969

6.  Easyfig: a genome comparison visualizer.

Authors:  Mitchell J Sullivan; Nicola K Petty; Scott A Beatson
Journal:  Bioinformatics       Date:  2011-01-28       Impact factor: 6.937

7.  Mugsy: fast multiple alignment of closely related whole genomes.

Authors:  Samuel V Angiuoli; Steven L Salzberg
Journal:  Bioinformatics       Date:  2010-12-09       Impact factor: 6.937

8.  GenomeRing: alignment visualization based on SuperGenome coordinates.

Authors:  A Herbig; G Jäger; F Battke; K Nieselt
Journal:  Bioinformatics       Date:  2012-06-15       Impact factor: 6.937

9.  Scalable multiple whole-genome alignment and locally collinear block construction with SibeliaZ.

Authors:  Ilia Minkin; Paul Medvedev
Journal:  Nat Commun       Date:  2020-12-10       Impact factor: 14.919

  9 in total

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