Evidence map›Paper›PMID 28719667›Full record

ArticlePloS one2017

Assessing intragenomic variation of the internal transcribed spacer two: Adapting the Illumina metagenomics protocol.

Lo'ai Alanagreh, Caitlin Pegg, Amritha Harikumar, Mark Buchheim

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Review
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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

4 authors.

Lo'ai AlanagrehDepartment of Biological Science, The University of Tulsa, Tulsa, Oklahoma, United States of America.
Caitlin PeggDepartment of Biological Science, The University of Tulsa, Tulsa, Oklahoma, United States of America.
Amritha HarikumarDepartment of Biological Science, The University of Tulsa, Tulsa, Oklahoma, United States of America.
Mark BuchheimDepartment of Biological Science, The University of Tulsa, Tulsa, Oklahoma, United States of America.ORCID http://orcid.org/0000-0002-8897-8745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary and secondary structural data from the internal transcribed spacer two (ITS2) have been used extensively for diversity studies of many different eukaryotic organisms, including the green algae. Ease of amplification is due, at least in part, to the fact that ITS2 is part of the tandemly-repeated rRNA array. The potential confounding influence of intragenomic variability has yet to be addressed except in a few organisms. Moreover, few of the assessments of intragenomic variation have taken advantage of the deep sequencing capacity of sequence-by-synthesis protocols. We present results from our adaptation of the 16S Metagenomics Sequencing Library Preparation/Illumina protocol for deep sequencing of the ITS2 genes in selected isolates of the green algal genus, Haematococcus. Deep sequencing yielded from just under 20,000 to more than 500,000 merged reads, outpacing results from recent pyrosequencing efforts. Furthermore, a conservative evaluation of these data revealed a range of three to six ITS2 sequence haplotypes (defined as unique sets of nucleotide polymorphisms) across the taxon sampling. The frequency of the dominant haplotype ranged from 0.35 to 0.98. In all but two cases, the haplotype with the greatest frequency corresponded to a sequence obtained by the Sanger method using PCR templates. Our data also show that results from the sequencing-by-synthesis approach are reproducible. In addition to advancing our understanding of ribosomal RNA variation, the results of this investigation will allow us to begin testing hypotheses regarding the maintenance of homogeneity across multi-copy genes.

Indexed as

MetagenomicsDNA, Ribosomal SpacerHigh-Throughput Nucleotide SequencingPhylogenySequence Analysis, DNAVolvocidaDNA, Ribosomal Spacer

Identifiers

PMID28719667
PMCPMC5515447

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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.