Evidence map›Paper›PMID 26828929›Full record

ArticlePloS one2016

A Phylogenomic Approach Based on PCR Target Enrichment and High Throughput Sequencing: Resolving the Diversity within the South American Species of Bartsia L. (Orobanchaceae).

Simon Uribe-Convers, Matthew L Settles, David C Tank

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Comparative medicine · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Practical considerations for plant phylogenomics.Applications in plant sciences · 2018
    Review
  18. Primers forApplications in plant sciences · 2017
    Article
  19. Article
  20. Primers forApplications in plant sciences · 2017
    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

3 authors.

Simon Uribe-ConversDepartment of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America.
Matthew L SettlesDepartment of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America.
David C TankDepartment of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America.

Funding

UNDERGRADUATE COLLEGE OUTREACH PROGRAMP20RR016454 · NCRR · UNIVERSITY OF IDAHO · PI CHASE, JENNIFER R · 2001 to 2011
$35.3M
The Evolution of Protein FlexibilityP20RR016448 · NCRR · UNIVERSITY OF IDAHO · PI ROBISON, BARRIE D · 2002 to 2011
$19.3M
NCRR NIH HHS P20 RR016448NCRR NIH HHS P20 RR016454NCRR NIH HHS P20RR016454NCRR NIH HHS P20RR16448
6 · The paper itself

Abstract

Advances in high-throughput sequencing (HTS) have allowed researchers to obtain large amounts of biological sequence information at speeds and costs unimaginable only a decade ago. Phylogenetics, and the study of evolution in general, is quickly migrating towards using HTS to generate larger and more complex molecular datasets. In this paper, we present a method that utilizes microfluidic PCR and HTS to generate large amounts of sequence data suitable for phylogenetic analyses. The approach uses the Fluidigm Access Array System (Fluidigm, San Francisco, CA, USA) and two sets of PCR primers to simultaneously amplify 48 target regions across 48 samples, incorporating sample-specific barcodes and HTS adapters (2,304 unique amplicons per Access Array). The final product is a pooled set of amplicons ready to be sequenced, and thus, there is no need to construct separate, costly genomic libraries for each sample. Further, we present a bioinformatics pipeline to process the raw HTS reads to either generate consensus sequences (with or without ambiguities) for every locus in every sample or--more importantly--recover the separate alleles from heterozygous target regions in each sample. This is important because it adds allelic information that is well suited for coalescent-based phylogenetic analyses that are becoming very common in conservation and evolutionary biology. To test our approach and bioinformatics pipeline, we sequenced 576 samples across 96 target regions belonging to the South American clade of the genus Bartsia L. in the plant family Orobanchaceae. After sequencing cleanup and alignment, the experiment resulted in ~25,300 bp across 486 samples for a set of 48 primer pairs targeting the plastome, and ~13,500 bp for 363 samples for a set of primers targeting regions in the nuclear genome. Finally, we constructed a combined concatenated matrix from all 96 primer combinations, resulting in a combined aligned length of ~40,500 bp for 349 samples.

Indexed as

Genetic VariationGenome, PlantPhylogenyCell NucleusDNA, ChloroplastDNA PrimersFlowersGeographyHigh-Throughput Nucleotide SequencingMicrofluidicsOrobanchaceaePolymerase Chain ReactionReproducibility of ResultsSpecies SpecificityDNA, ChloroplastDNA Primers

Identifiers

PMID26828929
PMCPMC4734709

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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.