Evidence map›Paper›PMID 32777774›Full record

ReviewiScience2020

Holo-Omics: Integrated Host-Microbiota Multi-omics for Basic and Applied Biological Research.

Lasse Nyholm, Adam Koziol, Sofia Marcos, Amanda Bolt Botnen, Ostaizka Aizpurua, Shyam Gopalakrishnan, Morten T Limborg, M Thomas P Gilbert, Antton Alberdi

Open access · goldAbstract readReview
In one paragraph

Review in iScience, 2020. 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
7.6field-weighted citation impact, top 2% of its field
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, 166 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. A practical introduction to holo-omics.Cell reports methods · 2024
    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

9 authors at 2 institutions in 3 countries.

Lasse NyholmCenter for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen, Copenhagen 1353, Denmark. Electronic address: lasse.nyholm@sund.ku.dk.
Adam KoziolCenter for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen, Copenhagen 1353, Denmark.
Sofia MarcosDepartment of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa 48940, Spain.
Amanda Bolt BotnenCenter for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen, Copenhagen 1353, Denmark.
Ostaizka AizpuruaCenter for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen, Copenhagen 1353, Denmark.
Shyam GopalakrishnanCenter for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen, Copenhagen 1353, Denmark; Department of Health Technology, Section for Bioinformatics, Technical University of Denmark, Kongens Lyngby 2800, Denmark.
Morten T LimborgCenter for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen, Copenhagen 1353, Denmark.
M Thomas P GilbertCenter for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen, Copenhagen 1353, Denmark; Norwegian University of Science and Technology, University Museum, Trondheim 7491, Norway.
Antton AlberdiCenter for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen, Copenhagen 1353, Denmark.
University of Copenhagen · DKUniversity of the Basque Country · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

From ontogenesis to homeostasis, the phenotypes of complex organisms are shaped by the bidirectional interactions between the host organisms and their associated microbiota. Current technology can reveal many such interactions by combining multi-omic data from both hosts and microbes. However, exploring the full extent of these interactions requires careful consideration of study design for the efficient generation and optimal integration of data derived from (meta)genomics, (meta)transcriptomics, (meta)proteomics, and (meta)metabolomics. In this perspective, we introduce the holo-omic approach that incorporates multi-omic data from both host and microbiota domains to untangle the interplay between the two. We revisit the recent literature on biomolecular host-microbe interactions and discuss the implementation and current limitations of the holo-omic approach. We anticipate that the application of this approach can contribute to opening new research avenues and discoveries in biomedicine, biotechnology, agricultural and aquacultural sciences, nature conservation, as well as basic ecological and evolutionary research.

Indexed as

Evolutionary BiologyMicrobiome

Identifiers

PMID32777774
PMCPMC7416341
OpenAlexW3044646968

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.