Evidence map›Paper›PMID 27446237›Full record

ArticleBiotechnology for biofuels2016

Identification and functional characterization of novel xylose transporters from the cell factories Aspergillus niger and Trichoderma reesei.

Jasper Sloothaak, Juan Antonio Tamayo-Ramos, Dorett I Odoni, Thanaporn Laothanachareon, Christian Derntl, Astrid R Mach-Aigner, Vitor A P Martins Dos Santos, Peter J Schaap

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed, 100 citations in OpenAlex.

  1. Applied and environmental microbiology · 2026
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  12. Identification ofJournal of fungi (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

8 authors at 3 institutions in 3 countries.

Jasper Sloothaak *Laboratory of Systems and Synthetic Biology, Wageningen University and Research, Stippeneng 4, 6708WE Wageningen, The Netherlands.
Juan Antonio Tamayo-Ramos *Laboratory of Systems and Synthetic Biology, Wageningen University and Research, Stippeneng 4, 6708WE Wageningen, The Netherlands.ORCID 0000-0002-7071-002X
Dorett I OdoniLaboratory of Systems and Synthetic Biology, Wageningen University and Research, Stippeneng 4, 6708WE Wageningen, The Netherlands.
Thanaporn LaothanachareonLaboratory of Systems and Synthetic Biology, Wageningen University and Research, Stippeneng 4, 6708WE Wageningen, The Netherlands.
Christian DerntlResearch Area Biochemical Technology, Institute of Chemical Engineering, TU Wien, Gumpendorfer Str. 1a, Vienna, Austria.
Astrid R Mach-AignerResearch Area Biochemical Technology, Institute of Chemical Engineering, TU Wien, Gumpendorfer Str. 1a, Vienna, Austria.
Vitor A P Martins Dos SantosLaboratory of Systems and Synthetic Biology, Wageningen University and Research, Stippeneng 4, 6708WE Wageningen, The Netherlands.
Peter J SchaapLaboratory of Systems and Synthetic Biology, Wageningen University and Research, Stippeneng 4, 6708WE Wageningen, The Netherlands.ORCID 0000-0002-4346-6084
Wageningen University & Research · NLTU Wien · ATNational Science and Technology Development Agency · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobal climate change and fossil fuels limitations have boosted the demand for robust and efficient microbial factories for the manufacturing of bio-based products from renewable feedstocks. In this regard, efforts have been done to enhance the enzyme-secreting ability of lignocellulose-degrading fungi, aiming to improve protein yields while taking advantage of their ability to use lignocellulosic feedstocks. Access to sugars in complex polysaccharides depends not only on their release by specific hydrolytic enzymes, but also on the presence of transporters capable of effectively transporting the constituent sugars into the cell. This study aims to identify and characterize xylose transporters from Aspergillus niger and Trichoderma reesei, two fungi that have been industrially exploited for decades for the production of lignocellulose-degrading hydrolytic enzymes.

resultsA hidden Markov model for the identification of xylose transporters was developed and used to analyze the A. niger and T. reesei in silico proteomes, yielding a list of candidate xylose transporters. From this list, three A. niger (XltA, XltB and XltC) and three T. reesei (Str1, Str2 and Str3) transporters were selected, functionally validated and biochemically characterized through their expression in a Saccharomyces cerevisiae hexose transport null mutant, engineered to be able to metabolize xylose but unable to transport this sugar. All six transporters were able to support growth of the engineered yeast on xylose but varied in affinities and efficiencies in the uptake of the pentose. Amino acid sequence analysis of the selected transporters showed the presence of specific residues and motifs recently associated to xylose transporters. Transcriptional analysis of A. niger and T. reesei showed that XltA and Str1 were specifically induced by xylose and dependent on the XlnR/Xyr1 regulators, signifying a biological role for these transporters in xylose utilization.

conclusionsThis study revealed the existence of a variety of xylose transporters in the cell factories A. niger and T. reesei. The particular substrate specificity and biochemical properties displayed by A. niger XltA and XltB suggested a possible biological role for these transporters in xylose uptake. New insights were also gained into the molecular mechanisms regulating the pentose utilization, at inducer uptake level, in these fungi. Analysis of the A. niger and T. reesei predicted transportome with the newly developed hidden Markov model showed to be an efficient approach for the identification of new xylose transporting proteins.

Indexed as

Aspergillus nigerHidden Markov modelStr1Str2Str3Sugar porterTransport kineticsTrichoderma reeseiXltAXltBXltCXylose

Identifiers

PMID27446237
PMCPMC4955148
OpenAlexW2479253297

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.