Evidence map›Paper›PMID 31615393›Full record

ArticleBMC evolutionary biology2019

ChromaClade: combined visualisation of phylogenetic and sequence data.

Christopher Monit, Richard A Goldstein, Greg J Towers

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Christopher MonitDivision of Infection and Immunity, University College London, London, WC1E 6BT, UK. c.monit.12@ucl.ac.uk.ORCID 0000-0002-1717-0431
Richard A GoldsteinDivision of Infection and Immunity, University College London, London, WC1E 6BT, UK.
Greg J TowersDivision of Infection and Immunity, University College London, London, WC1E 6BT, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/P007562/1Medical Research Council G0801172Medical Research Council MC_PC_13056Medical Research Council MC_U117573805Medical Research Council MR/S023380/1Wellcome TrustWellcome Trust 108183
6 · The paper itself

Abstract

backgroundStudying site-specific amino acid frequencies by eye can reveal biologically significant variability and lineage-specific adaptation. This so-called 'sequence gazing' often informs bioinformatics and experimental research. But it is important to also account for the underlying phylogeny, since similarities may be due to common descent rather than selection pressure, and because it is important to distinguish between founder effects and convergent evolution. We set out to combine phylogenetic and sequence data to produce evolutionarily insightful visualisations.

resultsWe present ChromaClade, a convenient tool with a graphical user-interface that works in concert with popular tree viewers to produce colour-annotated phylogenies highlighting residues found in each taxon and at each site in a sequence alignment. Colouring branches according to residues found at descendent tips also quickly identifies lineage-specific residues and those internal branches where key substitutions have occurred. We demonstrate applications of ChromaClade to human immunodeficiency virus and influenza A virus datasets, illustrating cases of conservative, adaptive and convergent evolution.

conclusionsWe find this to be a powerful approach for visualising site-wise residue distributions and detecting evolutionary patterns, especially in large datasets. ChromaClade is available for Windows, macOS and Unix or Linux; program executables and source code are available at github.com/chrismonit/chroma_clade .

Indexed as

PhylogenySequence Analysis, DNASoftwareComputational BiologyHIV-1HumansPhylogeneticsProtein evolutionVisualisation

Identifiers

PMID31615393
PMCPMC6792252

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.