Evidence map›Paper›PMID 34580777›Full record

ArticleWorld journal of microbiology & biotechnology2021

Insights into endophytic bacterial diversity of rice grown across the different agro-ecological regions of West Bengal, India.

Pranamita Kunda, Abhishek Mukherjee, Paltu Kumar Dhal

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Article in World journal of microbiology & biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Endophytic bacterial communities in wild rice (Frontiers in plant science · 2023
    Article
4 · The record

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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.

Pranamita KundaDepartment of Life Science and Biotechnology, Jadavpur University, 188 Raja S.C. Mullick Road, Kolkata, West Bengal, 700 032, India.
Abhishek MukherjeeAgricultural and Ecological Research Unit, Biological Sciences Division, Indian Statistical Institute, Giridih, Jharkhand, India.
Paltu Kumar DhalDepartment of Life Science and Biotechnology, Jadavpur University, 188 Raja S.C. Mullick Road, Kolkata, West Bengal, 700 032, India. paltuk.dhal@jadavpuruniversity.in.ORCID http://orcid.org/0000-0001-5790-3268

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endophytes have recently garnered importance worldwide and multiple studies are being conducted to understand their important role and mechanism of interaction inside plants. But before we indulge in their functions it is necessary to dig into the microbiome. This will help to get a complete picture of the microbes intrinsic to their host and understand changes in community composition with respect to their habitats. To fulfil this requirement in our study we have attempted to dissect the endophytic diversity in roots of rice plant grown across the various agro-ecological zones of West Bengal by undergoing amplicon analysis of their 16S rRNA gene. Based on the measured environmental parameters agro-ecological zones can be divided into two groups: nutrient dense groups, representing zones like Gangetic, Northern hill and Terai-Teesta zone characterised by soil with higher levels of nitrogen (N) and total organic carbon and nutrient low groups representing Coastal saline, Red-laterite and Vindhyan zone mainly characterised by high electroconductivity and pH. Gammaproteobacteria, Alphaproteobacteria, Bacilli and Bacteroidetes were mostly abundant in nutrient dense sites whereas Clostridia and Planctomycetes were concentrated in nutrient low sites. Few genera (Aeromonas, Sulfurospirillum, Uliginosibacterium and Acidaminococcus) are present in samples cultivated in all the zones representing the core microbiome of rice in West Bengal, while some other genera like Lactococcus, Dickeya, Azonexus and Pectobacterium are unique to specific zone. Hence it can be concluded that this study has provided some insight in to the endophytic status of rice grown across the state of West Bengal.

Indexed as

PhylogenyBacteriaBiodiversityEndophytesIndiaMetagenomicsMicrobiotaOryzaPlant RootsRNA, Ribosomal, 16SSoilRNA, Ribosomal, 16SSoil16S rRNA gene sequencingAgro-ecological zonesAmplicon metagenomicsRice root endophytes

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Registered trials

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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.