Evidence map›Paper›PMID 32551031›Full record

ArticleComputational and structural biotechnology journal2020

Investigating metabolic interactions in a microbial co-culture through integrated modelling and experiments.

Aarthi Ravikrishnan, Lars M Blank, Smita Srivastava, Karthik Raman

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Evaluating Metabolic Support in Pairwise Microbial Communities Using MetQuest.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
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  6. Article
  7. Computational and structural biotechnology journal · 2025
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  18. Article
  19. Journal of fungi (Basel, Switzerland) · 2022
    Article
  20. 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

4 authors at 2 institutions in 2 countries.

Aarthi RavikrishnanDepartment of Biotechnology, Bhupat & Jyoti Mehta School of Biosciences, Indian Institute of Technology (IIT) Madras, Chennai 600 036, India.
Lars M BlankInstitute of Applied Microbiology - iAMB, Aachen Biology and Biotechnology - ABBt, Worringer Weg 1, RWTH Aachen University, D-52074 Aachen, Germany.
Smita SrivastavaDepartment of Biotechnology, Bhupat & Jyoti Mehta School of Biosciences, Indian Institute of Technology (IIT) Madras, Chennai 600 036, India.
Karthik RamanDepartment of Biotechnology, Bhupat & Jyoti Mehta School of Biosciences, Indian Institute of Technology (IIT) Madras, Chennai 600 036, India.
Indian Institute of Technology Madras · INRWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial co-cultures have been used in several biotechnological applications. Within these co-cultures, the microorganisms tend to interact with each other and perform complex actions. Investigating metabolic interactions in microbial co-cultures is crucial in designing microbial consortia. Here, we present a pipeline integrating modelling and experimental approaches to understand metabolic interactions between organisms in a community. We define a new index named "Metabolic Support Index (MSI)", which quantifies the benefits derived by each organism in the presence of the other when grown as a co-culture. We computed MSI for several experimentally demonstrated co-cultures and showed that MSI, as a metric, accurately identifies the organism that derives the maximum benefit. We also computed MSI for a commonly used yeast co-culture consisting of

Indexed as

Metabolic exchangesMetabolic Support IndexMicrobial co-culturesMicrobial interactionsPathway analyses

Identifiers

PMID32551031
PMCPMC7286961
OpenAlexW3014412917

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.