Evidence map›Paper›PMID 33317635›Full record

ArticleBiotechnology for biofuels2020

Consolidated bioprocessing of cellulose to itaconic acid by a co-culture of Trichoderma reesei and Ustilago maydis.

Ivan Schlembach, Hamed Hosseinpour Tehrani, Lars M Blank, Jochen Büchs, Nick Wierckx, Lars Regestein, Miriam A Rosenbaum

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 74 citations in OpenAlex.

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  16. Huitlacoche (Molecules (Basel, Switzerland) · 2023
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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 3 institutions in 1 country.

Ivan SchlembachLeibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute, Jena, Germany.
Hamed Hosseinpour TehraniInstitute of Applied Microbiology - iAMB, Aachen Biology and Biotechnology - ABBt, RWTH Aachen University, Aachen, Germany.
Lars M BlankInstitute of Applied Microbiology - iAMB, Aachen Biology and Biotechnology - ABBt, RWTH Aachen University, Aachen, Germany.
Jochen BüchsAVT‑Biochemical Engineering, RWTH Aachen University, Aachen, Germany.
Nick WierckxInstitute of Applied Microbiology - iAMB, Aachen Biology and Biotechnology - ABBt, RWTH Aachen University, Aachen, Germany.
Lars RegesteinLeibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute, Jena, Germany.
Miriam A RosenbaumLeibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute, Jena, Germany. miriam.rosenbaum@leibniz-hki.de.ORCID http://orcid.org/0000-0002-4566-8624
Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI) · DERWTH Aachen University · DEForschungszentrum Jülich · DE

Funding

Deutsche Forschungsgemeinschaft EXE 236Deutsche Forschungsgemeinschaft EXS 2186Fachagentur Nachwachsende Rohstoffe FKZ 22030515
6 · The paper itself

Abstract

backgroundItaconic acid is a bio-derived platform chemical with uses ranging from polymer synthesis to biofuel production. The efficient conversion of cellulosic waste streams into itaconic acid could thus enable the sustainable production of a variety of substitutes for fossil oil based products. However, the realization of such a process is currently hindered by an expensive conversion of cellulose into fermentable sugars. Here, we present the stepwise development of a fully consolidated bioprocess (CBP), which is capable of directly converting recalcitrant cellulose into itaconic acid without the need for separate cellulose hydrolysis including the application of commercial cellulases. The process is based on a synthetic microbial consortium of the cellulase producer Trichoderma reesei and the itaconic acid producing yeast Ustilago maydis. A method for process monitoring was developed to estimate cellulose consumption, itaconic acid formation as well as the actual itaconic acid production yield online during co-cultivation.

resultsThe efficiency of the process was compared to a simultaneous saccharification and fermentation setup (SSF). Because of the additional substrate consumption of T. reesei in the CBP, the itaconic acid yield was significantly lower in the CBP than in the SSF. In order to increase yield and productivity of itaconic acid in the CBP, the population dynamics was manipulated by varying the inoculation delay between T. reesei and U. maydis. Surprisingly, neither inoculation delay nor inoculation density significantly affected the population development or the CBP performance. Instead, the substrate availability was the most important parameter. U. maydis was only able to grow and to produce itaconic acid when the cellulose concentration and thus, the sugar supply rate, was high. Finally, the metabolic processes during fed-batch CBP were analyzed in depth by online respiration measurements. Thereby, substrate availability was again identified as key factor also controlling itaconic acid yield. In summary, an itaconic acid titer of 34 g/L with a total productivity of up to 0.07 g/L/h and a yield of 0.16 g/g could be reached during fed-batch cultivation.

conclusionThis study demonstrates the feasibility of consortium-based CBP for itaconic acid production and also lays the fundamentals for the development and improvement of similar microbial consortia for cellulose-based organic acid production.

Indexed as

CelluloseCo-cultureConsolidated bioprocessingItaconic acidLignocelluloseMetabolic engineeringMicrobial consortiumMixed culturePlatform chemicalSimultaneous saccharification and fermentation

Identifiers

PMID33317635
PMCPMC7737373
OpenAlexW3107114247

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.