Evidence map›Paper›PMID 33762001›Full record

ReviewMicrobiome2021

Holo-omics for deciphering plant-microbiome interactions.

Ling Xu, Grady Pierroz, Heidi M-L Wipf, Cheng Gao, John W Taylor, Peggy G Lemaux, Devin Coleman-Derr

Abstract readReviewVideo-Audio Media
In one paragraph

Review in Microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. A practical introduction to holo-omics.Cell reports methods · 2024
    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

7 authors.

Ling XuDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA.ORCID 0000-0001-7974-3541
Grady PierrozDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA.
Heidi M-L WipfDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA.
Cheng GaoDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA.
John W TaylorDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA.
Peggy G LemauxDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA.
Devin Coleman-DerrDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA. colemanderr@berkeley.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Host-microbiome interactions are recognized for their importance to host health. An improved understanding of the molecular underpinnings of host-microbiome relationships will advance our capacity to accurately predict host fitness and manipulate interaction outcomes. Within the plant microbiome research field, unlocking the functional relationships between plants and their microbial partners is the next step to effectively using the microbiome to improve plant fitness. We propose that strategies that pair host and microbial datasets-referred to here as holo-omics-provide a powerful approach for hypothesis development and advancement in this area. We discuss several experimental design considerations and present a case study to highlight the potential for holo-omics to generate a more holistic perspective of molecular networks within the plant microbiome system. In addition, we discuss the biggest challenges for conducting holo-omics studies; specifically, the lack of vetted analytical frameworks, publicly available tools, and required technical expertise to process and integrate heterogeneous data. Finally, we conclude with a perspective on appropriate use-cases for holo-omics studies, the need for downstream validation, and new experimental techniques that hold promise for the plant microbiome research field. We argue that utilizing a holo-omics approach to characterize host-microbiome interactions can provide important opportunities for broadening system-level understandings and significantly inform microbial approaches to improving host health and fitness. Video abstract.

Indexed as

MicrobiotaPlants

Identifiers

PMID33762001
PMCPMC7988928

What OpenQuestion holds

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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.