Evidence map›Paper›PMID 34583651›Full record

ArticleBMC bioinformatics2021

rKOMICS: an R package for processing mitochondrial minicircle assemblies in population-scale genome projects.

Manon Geerts, Achim Schnaufer, Frederik Van den Broeck

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 9 citations in OpenAlex.

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  7. Experimental Hybridization inPathogens (Basel, Switzerland) · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Manon GeertsDepartment of Biomedical Sciences, Institute of Tropical Medicine, 2000, Antwerp, Belgium.
Achim SchnauferInstitute of Immunology and Infection Research, University of Edinburgh, Edinburgh, EH9 3FL, UK.
Frederik Van den BroeckDepartment of Biomedical Sciences, Institute of Tropical Medicine, 2000, Antwerp, Belgium. fvandenbroeck@gmail.com.ORCID http://orcid.org/0000-0003-2542-5585
Instituut voor Tropische Geneeskunde · BERega Institute for Medical Research · BEUniversity of Edinburgh · GB

Funding

Gates Foundation INV-007319Medical Research Council MR/L019701/1
6 · The paper itself

Abstract

backgroundThe advent of population-scale genome projects has revolutionized our biological understanding of parasitic protozoa. However, while hundreds to thousands of nuclear genomes of parasitic protozoa have been generated and analyzed, information about the diversity, structure and evolution of their mitochondrial genomes remains fragmentary, mainly because of their extraordinary complexity. Indeed, unicellular flagellates of the order Kinetoplastida contain structurally the most complex mitochondrial genome of all eukaryotes, organized as a giant network of homogeneous maxicircles and heterogeneous minicircles. We recently developed KOMICS, an analysis toolkit that automates the assembly and circularization of the mitochondrial genomes of Kinetoplastid parasites. While this tool overcomes the limitation of extracting mitochondrial assemblies from Next-Generation Sequencing datasets, interpreting and visualizing the genetic (dis)similarity within and between samples remains a time-consuming process.

resultsHere, we present a new analysis toolkit-rKOMICS-to streamline the analyses of minicircle sequence diversity in population-scale genome projects. rKOMICS is a user-friendly R package that has simple installation requirements and that is applicable to all 27 trypanosomatid genera. Once minicircle sequence alignments are generated, rKOMICS allows to examine, summarize and visualize minicircle sequence diversity within and between samples through the analyses of minicircle sequence clusters. We showcase the functionalities of the (r)KOMICS tool suite using a whole-genome sequencing dataset from a recently published study on the history of diversification of the Leishmania braziliensis species complex in Peru. Analyses of population diversity and structure highlighted differences in minicircle sequence richness and composition between Leishmania subspecies, and between subpopulations within subspecies.

conclusionThe rKOMICS package establishes a critical framework to manipulate, explore and extract biologically relevant information from mitochondrial minicircle assemblies in tens to hundreds of samples simultaneously and efficiently. This should facilitate research that aims to develop new molecular markers for identifying species-specific minicircles, or to study the ancestry of parasites for complementary insights into their evolutionary history.

Indexed as

Genome, MitochondrialLeishmaniaDNA, KinetoplastHigh-Throughput Nucleotide SequencingSequence AlignmentDNA, KinetoplastAssemblyClusteringKinetoplastLeishmaniaMinicirclesParasitesSequencingTrypanosoma

Identifiers

PMID34583651
PMCPMC8479924
OpenAlexW3203829406

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.