Evidence map›Paper›PMID 39961944›Full record

ArticleApplied biochemistry and biotechnology2025

Metagenomic Analysis of Microbial Community Associated with Food Waste Composting.

Jayanta Andraskar, Debishree Khan, Shailendra Yadav, Atya Kapley

Abstract read
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In one paragraph

Article in Applied biochemistry and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Article
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.

Jayanta AndraskarSustainable Environmental Processes (SEP), Environmental Bioprocesses, CSIR-National Environmental Engineering Research Institute (NEERI), Nehru Marg, Nagpur, 440020, India.
Debishree KhanAcademy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
Shailendra YadavDepartment of Botany, Banaras Hindu University, Varanasi, 221005, India.
Atya KapleySustainable Environmental Processes (SEP), Environmental Bioprocesses, CSIR-National Environmental Engineering Research Institute (NEERI), Nehru Marg, Nagpur, 440020, India. a_kapley@neeri.res.in.

Funding

Department of Biotechnology, Ministry of Science and Technology, India DBT/JRF/BET-18/1/2018/AL/23
6 · The paper itself

Abstract

Food waste is an increasing cause of concern in India. Its management through composting plays a vital role in managing the biodegradable fraction of municipal solid waste. However, the existing composting process has many challenges, such as the lack of optimum microenvironment and microbiome knowledge, which limits efficient outcomes. Therefore, the present study aims to bridge the gap by applying metagenomics to study microbial community dynamicity during different stages of composting. The bacterial community analysis showed that genus Marionobacter (9.4%) and Halomonas (7.4%) were prevalent during the mesophilic stage, whereas the Bacillus (12.2%) and Cellulomonas (0.1%) were prevalent during the thermophilic and maturation stage of composting. The functional profiling of metagenome indicated the abundance of genes involved in degradation of polymeric compounds such as carbohydrates, lipids, and proteins. The relative abundance of arginine and proline metabolisms increased during the thermophilic stage. Whereas the relative abundance of genes involved in fatty acid, tryptophan, galactose, and propanoate metabolisms declined. Similarly, the CAZyme tool predicted that the genes encoding for glycoside hydrolase (GH) families were higher during the mesophilic and thermophilic stages of composting. These enzymes play an important role in degradation of complex polysaccharides such as cellulose and hemicellulose. The data obtained from the present study could be utilized for the optimization and improving the composting process.

Indexed as

BacteriaCompostingFoodMetagenomeMetagenomicsMicrobiotaSoil MicrobiologyFood Loss and WasteFood Loss and WasteBacterial communityBiodegradationCompostingMetagenome

Identifiers

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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.