Evidence map›Paper›PMID 32444908›Full record

ArticleCurrent microbiology2020

Extrication of the Microbial Interactions of Activated Sludge Used in the Textile Effluent Treatment of Anaerobic Reactor Through Metagenomic Profiling.

Veena Gayathri Krishnaswamy, S Aishwarya, Tasneem M Kathawala

Abstract read
PubMed Publisher
In one paragraph

Article in Current microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Visualizing metagenomic and metatranscriptomic data: A comprehensive review.Computational and structural biotechnology journal · 2024
    Review
  3. Review
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

3 authors at 1 institution in 1 country.

Veena Gayathri KrishnaswamyDepartment of Biotechnology, Stella Maris College, Chennai, 600086, India. veenagayathri2018@gmail.com.ORCID https://orcid.org/0000-0002-3012-8561
S AishwaryaDepartment of Bioinformatics, Stella Maris College, Chennai, 600086, India.ORCID https://orcid.org/0000-0002-5112-9379
Tasneem M KathawalaDepartment of Biotechnology, Stella Maris College, Chennai, 600086, India.
Department of Biotechnology · IN

Funding

University Grants Commission UGC-MRP-6970
6 · The paper itself

Abstract

Industrial effluents are potential threats to water bodies owing to the chemicals they contain to create pollution. Activated sludge effluents represent an ecosystem of multifaceted and interactive microbial consortia that flourish with different genetic as well as metabolic potential. This study is applied to a nanopore sequencing to understand the microbial organisms involved in degradation pathways, and their interaction among them. The taxonomic profile determined the occurrence of Proteobacteria, Actinobacteria, Terrabacteria, bacteria, and Firmicutes with the dominance of Burkholderiales. Burkholderia pseudomallei was found to be 13.79% of the classified reads. The Gene ontology evaluation revealed that mobile elements and tRNA genes were the predominant genetic composition of the community with 16% of the total genes. The functional annotation of genes ensured the presence of genes encoding various types of RNA, homo and heteromultimeric proteins and pseudogenes as well. Pathways that involved in effluent treatment such as amines, aromatic, organic, and aromatic compound degradation were also illustrated. Amino acyl tRNA charging, signal transduction, and hormone degradation were the pathways that are identified to be common in all the organisms of the activated sludge. The study elaborated on the xenobiotic degradation that is exclusive of the predominant Burkholderiales and the interaction of them in the community as a whole. The present study revealed the genes, proteins, and the pathways of the activated sludge microbiome which will enhance the perceptions of the core mechanisms of effluent degradation.

Indexed as

MetagenomeSewageAnaerobiosisBioreactorsMicrobial InteractionsTextilesSewage

Identifiers

PMID32444908
OpenAlexW3027135652

What OpenQuestion holds

Textmetadata
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.