Evidence map›Paper›PMID 33968595›Full record

Article3 Biotech2021

Prokaryotic diversity of tropical coastal sand dunes ecosystem using metagenomics.

Sulochana A Shet, Sandeep Garg

Open access · greenAbstract read
In one paragraph

Article in 3 Biotech, 2021. 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
0.8field-weighted citation impact, top 26% 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, 6 citations in OpenAlex.

  1. Bacterial diversity in the aquatic system in India based on metagenome analysis-a critical review.Environmental science and pollution research international · 2023
    Review
  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

2 authors at 1 institution in 1 country.

Sulochana A ShetDepartment of Microbiology, Goa University, Taleigao-Plateau, Goa 403206 India.
Sandeep GargDepartment of Microbiology, Goa University, Taleigao-Plateau, Goa 403206 India.ORCID 0000-0001-9636-1596
Goa University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coastal sand dunes (CSDs), unique, stressed and hostile habitats act as a barrier between marine and terrestrial ecosystems. CSDs are stressed in terms of nutrition and fluctuating physio-chemical conditions. CSD is classified into several types, each of which presents different challenges for life forms. This study focuses on exploring bacterial and archaeal diversity and community structure in four CSD namely, Embryo, Fore, Gray, and Mature dunes of Keri beach, Goa along the west coast of India. The study was carried out using Next Generation Sequencing of hypervariable V3-V4 regions of the 16S rRNA gene using Illumina HiSeq platform. The present study hypothesizes that the prokaryotic communities at each dune may be different and could have different role in the ecosystem. The NGS for Embryo, Fore, Gray, and Mature dunes gave 1,045,447, 1,451,753, 1,321,867, and 1,537,758 paired-end reads, respectively, out of which 54,500, 50,032, 37,819, and 111,186 were retained through various quality filtrations. A total of 74, 63, 65, and 65% of OTUs, respectively, remained unknown at the species level. The highest bacterial and archaeal abundance was reported from Mature and Embryo dunes, respectively. Phylum Actinobacteria dominated the Embryo, Fore, and Mature dunes, whereas phylum Proteobacteria was the dominant in the Gray dune. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-021-02809-5.

Indexed as

BiodiversityCoastal sand duneHypervariable V3–V4 regionsIllumina HiSeq platformMetagenomicsNext Generation Sequencing

Identifiers

PMID33968595
PMCPMC8096885
OpenAlexW3158323146

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.