Evidence map›Paper›PMID 26655498›Full record

ArticleNature biotechnology2016

Synthetic long-read sequencing reveals intraspecies diversity in the human microbiome.

Volodymyr Kuleshov, Chao Jiang, Wenyu Zhou, Fereshteh Jahanbani, Serafim Batzoglou, Michael Snyder

Abstract read
In one paragraph

Article in Nature biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Human microbiome acquisition and transmission.Nature reviews. Microbiology · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Application of Microbiome in Forensics.Genomics, proteomics & bioinformatics · 2023
    Review
  8. Article
  9. Review
  10. Microbial characterization based on multifractal analysis of metagenomes.Frontiers in cellular and infection microbiology · 2023
    Article
  11. Profiling of d-alanine production by the microbial isolates of rat gut microbiota.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2022
    Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Metagenome SNP calling via read-colored de Bruijn graphs.Bioinformatics (Oxford, England) · 2021
    Article
  18. Review
  19. Article
  20. Review
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

6 authors.

Volodymyr KuleshovDepartment of Computer Science, Stanford University, Stanford, California, USA.
Chao JiangDepartment of Genetics, Stanford University School of Medicine, Stanford, California, USA.
Wenyu ZhouDepartment of Genetics, Stanford University School of Medicine, Stanford, California, USA.
Fereshteh JahanbaniDepartment of Genetics, Stanford University School of Medicine, Stanford, California, USA.
Serafim BatzoglouDepartment of Computer Science, Stanford University, Stanford, California, USA.
Michael SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, California, USA.

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
Longitudinal Multiomics Microbial Profiling in Healthy and Disease IndividualsU54DK102556 · NIDDK · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P., WEINSTOCK, GEORGE M · 2014 to 2015
$7.7M
NHGRI NIH HHS P50 HG007735NHGRI NIH HHS T32 HG000044NIDDK NIH HHS U54 DK102556
6 · The paper itself

Abstract

Identifying bacterial strains in metagenome and microbiome samples using computational analyses of short-read sequences remains a difficult problem. Here, we present an analysis of a human gut microbiome using TruSeq synthetic long reads combined with computational tools for metagenomic long-read assembly, variant calling and haplotyping (Nanoscope and Lens). Our analysis identifies 178 bacterial species, of which 51 were not found using shotgun reads alone. We recover bacterial contigs that comprise multiple operons, including 22 contigs of >1 Mbp. Furthermore, we observe extensive intraspecies variation within microbial strains in the form of haplotypes that span up to hundreds of Kbp. Incorporation of synthetic long-read sequencing technology with standard short-read approaches enables more precise and comprehensive analyses of metagenomic samples.

Indexed as

High-Throughput Nucleotide SequencingMicrobiotaSpecies SpecificityHumans

Identifiers

PMID26655498
PMCPMC4884093

What OpenQuestion holds

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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.