Evidence map›Paper›PMID 33781078›Full record

ReviewAnnual review of biomedical engineering2021

Integrating Systems and Synthetic Biology to Understand and Engineer Microbiomes.

Patrick A Leggieri, Yiyi Liu, Madeline Hayes, Bryce Connors, Susanna Seppälä, Michelle A O'Malley, Ophelia S Venturelli

Open access · hybridAbstract readReview
In one paragraph

Review in Annual review of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

31 citing papers in PubMed, 61 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Patrick A LeggieriDepartment of Chemical Engineering, University of California, Santa Barbara, California 93106, USA; email: momalley@ucsb.edu.
Yiyi LiuDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA; email: venturelli@wisc.edu.
Madeline HayesDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA; email: venturelli@wisc.edu.
Bryce ConnorsDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA; email: venturelli@wisc.edu.
Susanna SeppäläDepartment of Chemical Engineering, University of California, Santa Barbara, California 93106, USA; email: momalley@ucsb.edu.
Michelle A O'MalleyDepartment of Chemical Engineering, University of California, Santa Barbara, California 93106, USA; email: momalley@ucsb.edu.
Ophelia S VenturelliDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA; email: venturelli@wisc.edu.
University of Wisconsin–Madison · USUniversity of California, Santa Barbara · US

Funding

Elucidating the molecular and ecological design principles of stability and assembly of the human gut microbiotaR35GM124774 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Ophelia Venturelli · 2017 to 2026
$2.9M
Model-guided design of next-generation bacterial therapeutics to treat cardiovascular diseaseR01EB030340 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI REY, FEDERICO E, ROMERO, PHILIP ANTHONY · 2020 to 2023
$2.8M
Elucidating ecological mechanisms for propagation of antibiotic resistance genes via massively parallelized single-cell sequencingR21AI156438 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI VENTURELLI, OPHELIA · 2021 to 2022
$427k
NIAID NIH HHS R21 AI156438NIBIB NIH HHS R01 EB030340NIGMS NIH HHS R35 GM124774
6 · The paper itself

Abstract

Microbiomes are complex and ubiquitous networks of microorganisms whose seemingly limitless chemical transformations could be harnessed to benefit agriculture, medicine, and biotechnology. The spatial and temporal changes in microbiome composition and function are influenced by a multitude of molecular and ecological factors. This complexity yields both versatility and challenges in designing synthetic microbiomes and perturbing natural microbiomes in controlled, predictable ways. In this review, we describe factors that give rise to emergent spatial and temporal microbiome properties and the meta-omics and computational modeling tools that can be used to understand microbiomes at the cellular and system levels. We also describe strategies for designing and engineering microbiomes to enhance or build novel functions. Throughout the review, we discuss key knowledge and technology gaps for elucidating the networks and deciphering key control points for microbiome engineering, and highlight examples where multiple omics and modeling approaches can be integrated to address these gaps.

Indexed as

MicrobiotaSynthetic BiologyHumanscomputational modelinggenetic engineeringmeta-omicsmicrobial interaction networkmicrobiomesynthetic biology

Identifiers

PMID33781078
PMCPMC8277735
OpenAlexW3145520847

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.