Evidence map›Paper›PMID 25990729›Full record

ArticleNucleic acids research2015

Frequency-based haplotype reconstruction from deep sequencing data of bacterial populations.

Sergio Pulido-Tamayo, Aminael Sánchez-Rodríguez, Toon Swings, Bram Van den Bergh, Akanksha Dubey, Hans Steenackers, Jan Michiels, Jan Fostier, Kathleen Marchal

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
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

32 citing papers in PubMed.

  1. Article
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  3. Floria: fast and accurate strain haplotyping in metagenomes.Bioinformatics (Oxford, England) · 2024
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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

9 authors.

Sergio Pulido-TamayoDepartment of Information Technology, Ghent University, iMinds, 9050 Gent, Belgium Department of Microbial and Molecular Systems, Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 20, 3001 Leuven, Belgium Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium.
Aminael Sánchez-RodríguezDepartment of Microbial and Molecular Systems, Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 20, 3001 Leuven, Belgium Departamento de Ciencias Naturales, Universidad Técnica Particular de Loja, San Cayetano Alto S/N, EC1101608 Loja, Ecuador.
Toon SwingsDepartment of Microbial and Molecular Systems, Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 20, 3001 Leuven, Belgium.
Bram Van den BerghDepartment of Microbial and Molecular Systems, Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 20, 3001 Leuven, Belgium.
Akanksha DubeyDepartment of Microbial and Molecular Systems, Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 20, 3001 Leuven, Belgium.
Hans SteenackersDepartment of Microbial and Molecular Systems, Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 20, 3001 Leuven, Belgium.
Jan MichielsDepartment of Microbial and Molecular Systems, Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 20, 3001 Leuven, Belgium.
Jan FostierDepartment of Information Technology, Ghent University, iMinds, 9050 Gent, Belgium.
Kathleen MarchalDepartment of Information Technology, Ghent University, iMinds, 9050 Gent, Belgium Department of Microbial and Molecular Systems, Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 20, 3001 Leuven, Belgium Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium kathleen.marchal@ugent.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clonal populations accumulate mutations over time, resulting in different haplotypes. Deep sequencing of such a population in principle provides information to reconstruct these haplotypes and the frequency at which the haplotypes occur. However, this reconstruction is technically not trivial, especially not in clonal systems with a relatively low mutation frequency. The low number of segregating sites in those systems adds ambiguity to the haplotype phasing and thus obviates the reconstruction of genome-wide haplotypes based on sequence overlap information.Therefore, we present EVORhA, a haplotype reconstruction method that complements phasing information in the non-empty read overlap with the frequency estimations of inferred local haplotypes. As was shown with simulated data, as soon as read lengths and/or mutation rates become restrictive for state-of-the-art methods, the use of this additional frequency information allows EVORhA to still reliably reconstruct genome-wide haplotypes. On real data, we show the applicability of the method in reconstructing the population composition of evolved bacterial populations and in decomposing mixed bacterial infections from clinical samples.

Indexed as

Genome, BacterialHaplotypesBacterial InfectionsCoinfectionEscherichia coliEvolution, MolecularHigh-Throughput Nucleotide SequencingHumansPolymorphism, GeneticSequence Analysis, DNA

Identifiers

PMID25990729
PMCPMC4652744

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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.