Evidence map›Paper›PMID 29453765›Full record

ArticleMolecular biology reports2018

Statistical assessment of DNA extraction methodology for culture-independent analysis of microbial community associated with diverse environmental samples.

Rishi Mahajan, Sampan Attri, Kavita Sharma, Niharika Singh, Deepika Sharma, Gunjan Goel

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Review
  2. Transcriptome Analysis ofIndian journal of microbiology · 2022
    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

6 authors.

Rishi MahajanDepartment of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, 173234, India.
Sampan AttriDepartment of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, 173234, India.
Kavita SharmaDepartment of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, 173234, India.
Niharika SinghDepartment of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, 173234, India.
Deepika SharmaDepartment of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, 173234, India.
Gunjan GoelDepartment of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, 173234, India. gunjanmicro@gmail.com.

Funding

Department of Science and Technology, Ministry of Science and Technology INT/RUS/RFBR/P-175
6 · The paper itself

Abstract

Cost-effectiveness, quality, time-effectiveness and ease of the methodology are the most crucial factors in isolating quality DNA from wide variety of samples. Thus, research efforts focusing on the development of an efficient DNA extraction protocol is the need of the hour. The present study therefore, focuses on development of an efficient, rapid and free of inhibitory substances based methodology for extracting metagenomic DNA from diverse environmental samples viz. anaerobic biogas digesta, ruminant stomach, human feces, soil, and microbial starter cultures used for preparation of fermented food. PCR-DGGE based analysis and quality metagenomic library preparation, using DNA extraction methodology, validates the developed protocol. The developed protocol is cost effective, capable of isolating DNA from small sample size (100-1000 µl), time efficient (1.5-2.0 h protocol) and results in significantly higher DNA yield (4-8 times increased yield) when compared to previously available DNA extraction method and a commercial DNA extraction kit. The DNA extracted from the samples using different protocols was evaluated based on its ability to identify diverse microbial species using PCR-DGGE profiles targeting variable region within the 16S rRNA gene. The results of microbial community analysis revealed comparability of the developed protocol to commercial kits, in effectively identifying dominant representatives of the microbial community in different samples. Using the DNA extracted from the presented methodology, metagenomic libraries were prepared, which were found suitable for sequencing on Illumina platform.

Indexed as

AnimalsDNADNA, BacterialFecesHumansMetagenomicsMicrobiotaPolymerase Chain ReactionSequence Analysis, DNASoilDNADNA, BacterialSoilDNA extractionEnvironmental samplesMetagenomic libraryMicrobial communityPCR–DGGE

Identifiers

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.