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Current genetic strategies to investigate gene functions in Trichoderma reesei

Overview of attention for article published in Microbial Cell Factories, May 2023
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Title
Current genetic strategies to investigate gene functions in Trichoderma reesei
Published in
Microbial Cell Factories, May 2023
DOI 10.1186/s12934-023-02104-3
Pubmed ID
Authors

Chixiang Ma, Jialong Liu, Jiaxin Tang, Yuanlu Sun, Xiaojie Jiang, Tongtong Zhang, Yan Feng, Qinghua Liu, Lei Wang

Abstract

The filamentous fungus Trichoderma reesei (teleomorph Hypocrea jecorina, Ascomycota) is a well-known lignocellulolytic enzymes-producing strain in industry. To increase the fermentation titer of lignocellulolytic enzymes, random mutagenesis and rational genetic engineering in T. reesei were carried out since it was initially found in the Solomon Islands during the Second World War. Especially the continuous exploration of the underlying regulatory network during (hemi)cellulase gene expression in the post-genome era provided various strategies to develop an efficient fungal cell factory for these enzymes' production. Meanwhile, T. reesei emerges competitiveness potential as a filamentous fungal chassis to produce proteins from other species (e.g., human albumin and interferon α-2b, SARS-CoV-2 N antigen) in virtue of the excellent expression and secretion system acquired during the studies about (hemi)cellulase production. However, all the achievements in high yield of (hemi)cellulases are impossible to finish without high-efficiency genetic strategies to analyze the proper functions of those genes involved in (hemi)cellulase gene expression or secretion. Here, we in detail summarize the current strategies employed to investigate gene functions in T. reesei. These strategies are supposed to be beneficial for extending the potential of T. reesei in prospective strain engineering.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 13%
Unspecified 2 13%
Student > Master 2 13%
Other 1 7%
Student > Ph. D. Student 1 7%
Other 0 0%
Unknown 7 47%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 33%
Unspecified 2 13%
Unknown 8 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 May 2023.
All research outputs
#15,986,962
of 23,727,139 outputs
Outputs from Microbial Cell Factories
#1,035
of 1,680 outputs
Outputs of similar age
#109,556
of 204,021 outputs
Outputs of similar age from Microbial Cell Factories
#6
of 23 outputs
Altmetric has tracked 23,727,139 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,680 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 204,021 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.