Cited by 263Gut microbiota and healthGenomics and Phylogenetic StudiesBacteriophages and microbial interactions

Combining metagenomics, metatranscriptomics and viromics to explore novel microbial interactions: towards a systems-level understanding of human microbiome

Open access
Bikel, Shirley, Valdez-Lara, Alejandra, Cornejo-Granados, Fernanda, Rico, Karina, Canizales-Quinteros, Samuel, Soberón, Xavier, Del Pozo-Yauner, Luis, Ochoa-Leyva, Adrián·2015·Computational and Structural Biotechnology Journal

Abstract

The advances in experimental methods and the development of high performance bioinformatic tools have substantially improved our understanding of microbial communities associated with human niches. Many studies have documented that changes in microbial abundance and composition of the human microbiome is associated with human health and diseased state. The majority of research on human microbiome is typically focused in the analysis of one level of biological information, i.e., metagenomics or metatranscriptomics. In this review, we describe some of the different experimental and bioinformatic strategies applied to analyze the 16S rRNA gene profiling and shotgun sequencing data of the human microbiome. We also discuss how some of the recent insights in the combination of metagenomics, metatranscriptomics and viromics can provide more detailed description on the interactions between microorganisms and viruses in oral and gut microbiomes. Recent studies on viromics have begun to gain importance due to the potential involvement of viruses in microbial dysbiosis. In addition, metatranscriptomic combined with metagenomic analysis have shown that a substantial fraction of microbial transcripts can be differentially regulated relative to their microbial genomic abundances. Thus, understanding the molecular interactions in the microbiome using the combination of metagenomics, metatranscriptomics and viromics is one of the main challenges towards a system level understanding of human microbiome.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.csbj.2015.06.001

Cites

179 of 179 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Shotgun metagenomics employs random fragmentation and adapter ligation to sequence in an unbiased manner all extracted DNA, enabling more in-depth analyses of the pan-genomic gene content in microbiomes.

    “This approach employs random fragmentation and adapter ligation sequence in an unbiased manner all extracted DNA, enabling more in‐depth analyses of the pan‐genomic gene content in microbiomes.3”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

2 of the 181 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Bikel, S., Valdez-Lara, A., Cornejo-Granados, F., Rico, K., Canizales-Quinteros, S., Soberón, X., Del Pozo-Yauner, L., & Ochoa-Leyva, A.
Affiliations
  • National Institute of Genomic Medicine (MX)
  • Unidad de Genómica de Poblaciones Aplicada la Salud, Facultad de Química, UNAM, Instituto Nacional de Medicina Genómica (INMEGEN), México, D.F. 14610, Mexico
  • Instituto Nacional de Medicina Genómica (INMEGEN), México, D.F., Mexico
Venue
Computational and Structural Biotechnology Journal
Published
2015-01
Volume
13
Pages
390-401
ISSN
2001-0370 (ISSN-L)
OpenAlex
W1222064643
Cited by
263
References
181
Citations by year
2026: 19 · 2025: 26 · 2024: 26 · 2023: 27 · 2022: 26 · 2021: 34 · 2020: 28 · 2019: 20 · 2018: 20 · 2017: 18 · 2016: 18 · 2015: 1
FWCI
1.84
Type
journal article
Language
en
Open access
Locations
  • Computational and Structural Biotechnology Journal (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
CONACyT (CB-2013-223279, SALUD-2014-C01-234188)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Physical Sciences › Environmental Science › Ecology › Bacteriophages and microbial interactions
Keywords
human microbiome, metagenomics, metatranscriptomics, viromics, oral microbiota, gut microbiota, dysbiosis, 16S rRNA gene profiling, shotgun sequencing

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review