Evidence map›Paper›PMID 34575737›Full record

ReviewJournal of fungi (Basel, Switzerland)2021

Trends and Applications of Omics Technologies to Functional Characterisation of Enzymes and Protein Metabolites Produced by Fungi.

Grace N Ijoma, Sylvie M Heri, Tonderayi S Matambo, Memory Tekere

Open access · goldAbstract readReview
In one paragraph

Review in Journal of fungi (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
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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 at 1 institution in 1 country.

Grace N IjomaInstitute for the Development of Energy for African Sustainability (IDEAS), College of Science, Engineering and Technology, University of South Africa, P.O. Box 392, UNISA, Pretoria 0001, South Africa.ORCID 0000-0002-1568-8851
Sylvie M HeriInstitute for the Development of Energy for African Sustainability (IDEAS), College of Science, Engineering and Technology, University of South Africa, P.O. Box 392, UNISA, Pretoria 0001, South Africa.ORCID 0000-0003-2153-0273
Tonderayi S MatamboInstitute for the Development of Energy for African Sustainability (IDEAS), College of Science, Engineering and Technology, University of South Africa, P.O. Box 392, UNISA, Pretoria 0001, South Africa.ORCID 0000-0001-9432-3772
Memory TekereDepartment of Environmental Science, College of Agricultural and Environmental Science, University of South Africa, P.O. Box 392, UNISA, Pretoria 0001, South Africa.ORCID 0000-0002-0606-7826
University of South Africa · ZA

Funding

Department of Science and Technology, Republic of South Africa DST/CON 0197/2017Technology Innovations Agency, South Africa 2018/FUN/0166
6 · The paper itself

Abstract

Identifying and adopting industrial applications for proteins and enzymes derived from fungi strains have been at the focal point of several studies in recent times. To facilitate such studies, it is necessary that advancements and innovation in mycological and molecular characterisation are concomitant. This review aims to provide a detailed overview of the necessary steps employed in both qualitative and quantitative research using the omics technologies that are pertinent to fungi characterisation. This stems from the understanding that data provided from the functional characterisation of fungi and their metabolites is important towards the techno-economic feasibility of large-scale production of biological products. The review further describes how the functional gaps left by genomics, internal transcribe spacer (ITS) regions are addressed by transcriptomics and the various techniques and platforms utilised, including quantitive reverse transcription polymerase chain reaction (RT-qPCR), hybridisation techniques, and RNA-seq, and the insights such data provide on the effect of environmental changes on fungal enzyme production from an expressional standpoint. The review also offers information on the many available bioinformatics tools of analysis necessary for the analysis of the overwhelming data synonymous with the omics approach to fungal characterisation.

Indexed as

bioinformaticsfungilignin modifying enzymesomics

Identifiers

PMID34575737
PMCPMC8464691
OpenAlexW3196950246

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.