Evidence map›Paper›PMID 34739926›Full record

ReviewCurrent opinion in microbiology2022

Engineering temporal dynamics in microbial communities.

Carlotta Ronda, Harris H Wang

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. A new era of synthetic biology-microbial community design.Synthetic biology (Oxford, England) · 2024
    Review
  5. Review
  6. Article
  7. Cybergenetic control of microbial community composition.Frontiers in bioengineering and biotechnology · 2022
    Review
  8. Article
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

2 authors at 1 institution in 1 country.

Carlotta RondaDepartment of Systems Biology, Columbia University, New York, NY, USA.
Harris H WangDepartment of Systems Biology, Columbia University, New York, NY, USA; Department of Pathology and Cell Biology, Columbia University, New York, NY, USA. Electronic address: hw2429@columbia.edu.
Columbia University · US

Funding

Micron-scale Spatial Metagenomic Mapping of Microbial Biogeography in the Gastrointestinal TractR01AI132403 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Harris H Wang · 2017 to 2026
$6.0M
Ecological dynamics and metabolic interactions in thegut microbiome across space and timeR01DK118044 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI VITKUP, DENNIS, WANG, HARRIS H · 2018 to 2022
$3.4M
Discovery of immunomodulatory gut microbes with MAGICR21AI146817 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI IVANOV, IVAYLO IVANOV · 2019 to 2020
$437k
NIAID NIH HHS R01 AI132403NIAID NIH HHS R21 AI146817NIDDK NIH HHS R01 DK118044
6 · The paper itself

Abstract

Microbial communities are a key part to tackling global challenges in human health, environmental conservation, and sustainable agriculture in the coming decade. Recent advances in synthetic biology to study and modify microbial communities have led to important insights into their physiology and ecology. Understanding how targeted changes to microbial communities result in reproducible alterations of the community's intrinsic fluctuations and function is important for mechanistic reconstruction of microbiomes. Studies of synthetic microbial consortia and comparative analysis of communities in normal and disrupted states have revealed ecological principles that can be leveraged to engineer communities towards desired functions. Tools enabling temporal modulation and sensing of the community dynamics offer precise spatiotemporal control of functions, help to dissect microbial interaction networks, and improve predictions of population temporal dynamics. Here we discuss recent advances to manipulate microbiome dynamics through control of specific strain engraftment and abundance, modulation of cell-cell signaling for tuning population dynamics, infiltration of new functions in the existing community with in situ engineering, and in silico modeling of microbial consortia to predict community function and ecology.

Indexed as

MicrobiotaHumansMicrobial ConsortiaMicrobial InteractionsSynthetic Biology

Identifiers

PMID34739926
PMCPMC10659046
OpenAlexW3209527983

What OpenQuestion holds

Textmetadata
LicenceTDM
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.