Evidence map›Paper›PMID 36569080›Full record

ArticleFrontiers in microbiology2022

Discovery of novel carbohydrate degrading enzymes from soda lakes through functional metagenomics.

Oliyad Jeilu, Addis Simachew, Erik Alexandersson, Eva Johansson, Amare Gessesse

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 2 institutions in 3 countries.

Oliyad JeiluInstitute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia.
Addis SimachewInstitute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia.
Erik AlexanderssonDepartment of Plant Protection Biology, Swedish University of Agricultural Sciences, Lomma, Sweden.
Eva JohanssonDepartment of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden.
Amare GessesseInstitute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia.
Addis Ababa University · ETSwedish University of Agricultural Sciences · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extremophiles provide a one-of-a-kind source of enzymes with properties that allow them to endure the rigorous industrial conversion of lignocellulose biomass into fermentable sugars. However, the fact that most of these organisms fail to grow under typical culture conditions limits the accessibility to these enzymes. In this study, we employed a functional metagenomics approach to identify carbohydrate-degrading enzymes from Ethiopian soda lakes, which are extreme environments harboring a high microbial diversity. Out of 21,000 clones screened for the five carbohydrate hydrolyzing enzymes, 408 clones were found positive. Cellulase and amylase, gave high hit ratio of 1:75 and 1:280, respectively. A total of 378 genes involved in the degradation of complex carbohydrates were identified by combining high-throughput sequencing of 22 selected clones and bioinformatics analysis using a customized workflow. Around 41% of the annotated genes belonged to the Glycoside Hydrolases (GH). Multiple GHs were identified, indicating the potential to discover novel CAZymes useful for the enzymatic degradation of lignocellulose biomass from the Ethiopian soda Lakes. More than 73% of the annotated GH genes were linked to bacterial origins, with

Indexed as

CAZymesextremophilesfunctional metagenomicsglycoside hydrolaseshalophileslignocellulose biomasssoda lakes

Identifiers

PMID36569080
PMCPMC9768486
OpenAlexW4311707129

What OpenQuestion holds

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LicenceCC BY
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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.