Evidence map›Paper›PMID 26512100›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Library preparation methodology can influence genomic and functional predictions in human microbiome research.

Marcus B Jones, Sarah K Highlander, Ericka L Anderson, Weizhong Li, Mark Dayrit, Niels Klitgord, Martin M Fabani, Victor Seguritan, Jessica Green, David T Pride and 4 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 2 pooled it
–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

115 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Paucibacterial Microbiome and Resident DNA Virome of the Healthy Conjunctiva.Investigative ophthalmology & visual science · 2016
    Trial
  4. Article
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  7. Absolute Quantification of Bacteria in the Microbiome and Its Application.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
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  20. A new spike-in-based method for quantitative metabarcoding of soil fungi and bacteria.International microbiology : the official journal of the Spanish Society for Microbiology · 2024
    Article

55 more citing papers are in PubMed but not listed here.

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

14 authors.

Marcus B JonesHuman Longevity, Inc., San Diego, CA 92121; Genomic Medicine, J. Craig Venter Institute, La Jolla, CA 92037; mjones@humanlongevity.com jcventer@humanlongevity.com.
Sarah K HighlanderGenomic Medicine, J. Craig Venter Institute, La Jolla, CA 92037;
Ericka L AndersonHuman Longevity, Inc., San Diego, CA 92121;
Weizhong LiHuman Longevity, Inc., San Diego, CA 92121; Genomic Medicine, J. Craig Venter Institute, La Jolla, CA 92037;
Mark DayritHuman Longevity, Inc., San Diego, CA 92121;
Niels KlitgordHuman Longevity, Inc., San Diego, CA 92121;
Martin M FabaniHuman Longevity, Inc., San Diego, CA 92121;
Victor SeguritanHuman Longevity, Inc., San Diego, CA 92121;
Jessica GreenHuman Longevity, Inc., San Diego, CA 92121;
David T PrideDepartment of Pathology, University of California, San Diego, La Jolla, CA 92093; Department of Medicine, University of California, San Diego, La Jolla, CA 92093.
Shibu YoosephHuman Longevity, Inc., San Diego, CA 92121; Genomic Medicine, J. Craig Venter Institute, La Jolla, CA 92037;
William BiggsHuman Longevity, Inc., San Diego, CA 92121;
Karen E NelsonHuman Longevity, Inc., San Diego, CA 92121; Genomic Medicine, J. Craig Venter Institute, La Jolla, CA 92037;
J Craig VenterHuman Longevity, Inc., San Diego, CA 92121; Genomic Medicine, J. Craig Venter Institute, La Jolla, CA 92037; mjones@humanlongevity.com jcventer@humanlongevity.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Observations from human microbiome studies are often conflicting or inconclusive. Many factors likely contribute to these issues including small cohort sizes, sample collection, and handling and processing differences. The field of microbiome research is moving from 16S rDNA gene sequencing to a more comprehensive genomic and functional representation through whole-genome sequencing (WGS) of complete communities. Here we performed quantitative and qualitative analyses comparing WGS metagenomic data from human stool specimens using the Illumina Nextera XT and Illumina TruSeq DNA PCR-free kits, and the KAPA Biosystems Hyper Prep PCR and PCR-free systems. Significant differences in taxonomy are observed among the four different next-generation sequencing library preparations using a DNA mock community and a cell control of known concentration. We also revealed biases in error profiles, duplication rates, and loss of reads representing organisms that have a high %G+C content that can significantly impact results. As with all methods, the use of benchmarking controls has revealed critical differences among methods that impact sequencing results and later would impact study interpretation. We recommend that the community adopt PCR-free-based approaches to reduce PCR bias that affects calculations of abundance and to improve assemblies for accurate taxonomic assignment. Furthermore, the inclusion of a known-input cell spike-in control provides accurate quantitation of organisms in clinical samples.

Indexed as

Gene LibraryAnalysis of VarianceBase CompositionBase SequenceFecesGenome, BacterialHigh-Throughput Nucleotide SequencingHumansMetagenomicsMicrobiotaMolecular Sequence DataPolymerase Chain ReactionSequence Analysis, DNASpecies Specificitygenomicsmicrobiomesequencing

Identifiers

PMID26512100
PMCPMC4653211

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.