Evidence map›Paper›PMID 31395870›Full record

ArticleNature communications2019

Microbial carbon use efficiency predicted from genome-scale metabolic models.

Mustafa Saifuddin, Jennifer M Bhatnagar, Daniel Segrè, Adrien C Finzi

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–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

46 citing papers in PubMed.

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  9. Precipitation increase promotes soil organic carbon formation and stability via the mycorrhizal fungal pathway.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  18. Beyond carbonate biomineralization: why prokaryote-driven COFrontiers in bioengineering and biotechnology · 2025
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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

4 authors.

Mustafa SaifuddinBoston University, Boston, MA, 02215, USA.
Jennifer M BhatnagarBoston University, Boston, MA, 02215, USA.ORCID http://orcid.org/0000-0001-6424-4133
Daniel SegrèBoston University, Boston, MA, 02215, USA.ORCID http://orcid.org/0000-0003-4859-1914
Adrien C FinziBoston University, Boston, MA, 02215, USA. afinzi@bu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiration by soil bacteria and fungi is one of the largest fluxes of carbon (C) from the land surface. Although this flux is a direct product of microbial metabolism, controls over metabolism and their responses to global change are a major uncertainty in the global C cycle. Here, we explore an in silico approach to predict bacterial C-use efficiency (CUE) for over 200 species using genome-specific constraint-based metabolic modeling. We find that potential CUE averages 0.62 ± 0.17 with a range of 0.22 to 0.98 across taxa and phylogenetic structuring at the subphylum levels. Potential CUE is negatively correlated with genome size, while taxa with larger genomes are able to access a wider variety of C substrates. Incorporating the range of CUE values reported here into a next-generation model of soil biogeochemistry suggests that these differences in physiology across microbial taxa can feed back on soil-C cycling.

Indexed as

Carbon CycleModels, BiologicalSoil MicrobiologyBacteriaBiomassCarbonComputer SimulationGenome, BacterialMetabolomeMetabolomicsCarbon

Identifiers

PMID31395870
PMCPMC6687798

What OpenQuestion holds

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Registered trials

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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.