Evidence map›Paper›PMID 39090559›Full record

ArticleBMC microbiology2024

Microbial carbohydrate active enzyme (CAZyme) genes and diversity from Menagesha Suba natural forest soils of Ethiopia as revealed by shotgun metagenomic sequencing.

Amsale Melkamu Sime, Bezayit Amare Kifle, Adugna Abdi Woldesemayat, Mesfin Tafesse Gemeda

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Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Amsale Melkamu SimeBiotechnology Department, College of Natural and Applied Sciences, Addis Ababa Sciences and Technology University, Addis Ababa, Ethiopia.
Bezayit Amare KifleBiotechnology Department, College of Natural and Applied Sciences, Addis Ababa Sciences and Technology University, Addis Ababa, Ethiopia.
Adugna Abdi WoldesemayatBiotechnology Department, College of Natural and Applied Sciences, Addis Ababa Sciences and Technology University, Addis Ababa, Ethiopia.
Mesfin Tafesse GemedaBiotechnology Department, College of Natural and Applied Sciences, Addis Ababa Sciences and Technology University, Addis Ababa, Ethiopia. mesfin.tafesse@aastu.edu.et.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe global over-reliance on non-renewable fossil fuels has led to the emission of greenhouse gases, creating a critical global environmental challenge. There is an urgent need for alternative solutions like biofuels. Advanced biofuel is a renewable sustainable energy generated from lignocellulosic plant materials, which can significantly contribute to mitigating CO

resultsThe microbial diversity based on small subunit (SSU) rRNA analysis revealed the dominance of the bacterial domain representing 81.82% and 92.31% in the studied samples. Furthermore, the phylum composition result indicated the dominance of the phyla Proteobacteria (23.08%, 27.27%), Actinobacteria (11.36%, 20.51%), and Acidobacteria (10.26%, 15.91%). The study also identified unassigned bacteria which might have a unique potential for biopolymer hydrolysis. The metagenomic study revealed that 100,244 and 65,356 genes were predicted from the two distinct samples. A total number of 1806 CAZyme genes were identified, among annotated CAZymes, 758 had a known enzyme assigned to CAZymes. Glycoside hydrolases (GHs) CAZyme family contained most of the CAZyme genes with known enzymes such as β-glucosidase, endo-β-1,4-mannanase, exo-β-1,4-glucanase, α-L-arabinofuranosidase and oligoxyloglucan reducing end-specific cellobiohydrolase. On the other hand, 1048 of the identified CAZyme genes were putative CAZyme genes with unknown enzymatical activity and the majority of which belong to the GHs family.

conclusionsIn general, the identified putative CAZymes genes open up an opportunity for the discovery of new enzymes responsible for hydrolyzing biopolymers utilized for biofuel energy generation. This finding is used as a first-hand piece of evidence to serve as a benchmark for further and comprehensive studies to unveil novel classes of bio-economically valuable genes and their encoded products.

Indexed as

BacteriaForestsMetagenomicsPhylogenySoil MicrobiologyBacterial ProteinsBiodiversityBiofuelsCarbohydrate MetabolismEthiopiaGlycoside HydrolasesMetagenomeMicrobiotaRNA, Ribosomal, 16SSequence Analysis, DNASoilBacterial ProteinsBiofuelsGlycoside HydrolasesRNA, Ribosomal, 16SSoilCarbohydrate-active enzymeCAZyme genesForest soilShotgun metagenomic sequencing

Identifiers

PMID39090559
PMCPMC11293184

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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.