Evidence map›Paper›PMID 26062548›Full record

ArticleBMC bioinformatics2015

A composite genome approach to identify phylogenetically informative data from next-generation sequencing.

Rachel S Schwartz, Kelly M Harkins, Anne C Stone, Reed A Cartwright

Abstract read
In one paragraph

Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Accurate, scalable, and fully automated inference of species trees from raw genome assemblies using ROADIES.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. A Primer on Infectious Disease Bacterial Genomics.Clinical microbiology reviews · 2016
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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

4 authors.

Rachel S SchwartzThe Biodesign Institute, Arizona State University, Tempe, AZ, USA. Rachel.Schwartz@asu.edu.
Kelly M HarkinsSchool of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA. kmharkin@ucsc.edu.
Anne C StoneSchool of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA. acstone@asu.edu.
Reed A CartwrightThe Biodesign Institute, Arizona State University, Tempe, AZ, USA. cartwright@asu.edu.

Funding

Mutation accumulation in the ciliate Tetrahymena thermophilaR01GM101352 · NIGMS · UNIVERSITY OF HOUSTON · PI ZUFALL, REBECCA · 2013 to 2017
$1.4M
NIGMS NIH HHS R01 GM101352NIGMS NIH HHS R01-GM101352-01A1
6 · The paper itself

Abstract

backgroundImprovements in sequencing technology now allow easy acquisition of large datasets; however, analyzing these data for phylogenetics can be challenging. We have developed a novel method to rapidly obtain homologous genomic data for phylogenetics directly from next-generation sequencing reads without the use of a reference genome. This software, called SISRS, avoids the time consuming steps of de novo whole genome assembly, multiple genome alignment, and annotation.

resultsFor simulations SISRS is able to identify large numbers of loci containing variable sites with phylogenetic signal. For genomic data from apes, SISRS identified thousands of variable sites, from which we produced an accurate phylogeny. Finally, we used SISRS to identify phylogenetic markers that we used to estimate the phylogeny of placental mammals. We recovered eight phylogenies that resolved the basal relationships among mammals using datasets with different levels of missing data. The three alternate resolutions of the basal relationships are consistent with the major hypotheses for the relationships among mammals, all of which have been supported previously by different molecular datasets.

conclusionsSISRS has the potential to transform phylogenetic research. This method eliminates the need for expensive marker development in many studies by using whole genome shotgun sequence data directly. SISRS is open source and freely available at https://github.com/rachelss/SISRS/releases.

Indexed as

PhylogenySoftwareAnimalsGenomeGenomicsHigh-Throughput Nucleotide SequencingHominidaeMammalsSequence Analysis, DNA

Identifiers

PMID26062548
PMCPMC4464851

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.