Evidence map›Paper›PMID 28555427›Full record

Article3 Biotech2017

Optimization of high-yielding protocol for DNA extraction from the forest rhizosphere microbes.

Sadam D V Satyanarayana, M S R Krishna, Pindi Pavan Kumar

Open access · hybridAbstract read
In one paragraph

Article in 3 Biotech, 2017. 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
1.0field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 1 country.

Sadam D V SatyanarayanaDepartment of Biotechnology, K L University, Guntur, Andhrapradesh, India.
M S R KrishnaDepartment of Biotechnology, K L University, Guntur, Andhrapradesh, India.
Pindi Pavan KumarDepartment of Microbiology, Palamuru University, Mahbubnagar, Telangana, India. pavankumarpindi@gmail.com.
Koneru Lakshmaiah Education Foundation · INPalamuru University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil is major reservoir for microbes and harbors a vast microbial diversity. Soil microbiota plays a pivotal role in biogeochemical cycles, bioremediation, and in health and disease states of humans, animals, and plants. It is imperative to understand the microbial signatures which are specific in such an ecosystem to unravel their potential role and impact on environment. During the recent years, exploration of soil microbial communities has been geared up with the advent of advanced sequencing technologies. Introduction of custom-made protocols and optimized procedures have enhanced the accuracy levels along with cost-effectiveness of DNA extraction. Standardization of DNA extraction method from soil microbiota has its own limitations due to different nature of soils and the complexity of ecosystems. Though a few standardized protocols are in usage, huge variations and complexities among the microbial communities frequently suggest the optimization, based on various known and unknown factors. Therefore, a set of four standardized DNA isolation protocols was comparatively analyzed with respect to our custom-made protocol owing to the scientific fact that the same protocol does not hold good for all soil samples. Furthermore, the developed protocol has been successfully applied for the identification of efficient plant-specific Rhizobial stains for five legume plants from the soils of various locations under same geographical region. Out of 40 Badrachalam forest soils, five samples, KPFS36, CHFS17, TPFS33, GVFS06, and GPFS40, one for each of Arachis hypogaea, Vigna radiata, Vigna mungo, Glycine max, and Cicer arietinum plants, were selected, respectively, for the soil DNA extraction. A considerable improvement in the DNA yield was identified using the modified protocol with a yield of 21.08 μg/g providing abundant DNA fragments for further investigation on Rhizobial species.

Indexed as

DNA protocol optimizationForest soil DNARhizobial speciesRoot nodulesSoil DNA extraction

Identifiers

PMID28555427
PMCPMC5447523
OpenAlexW2617828759

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.