Evidence map›Paper›PMID 36452918›Full record

ArticleFrontiers in microbiology2022

Influence of host genotype in establishing root associated microbiome of

Arjun Singh, Murugan Kumar, Hillol Chakdar, Kuppusamy Pandiyan, Shiv Charan Kumar, Mohammad Tarique Zeyad, Bansh Narayan Singh, K T Ravikiran, Arunima Mahto, Alok Kumar Srivastava and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.5field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 32 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Arjun SinghICAR-National Bureau of Agriculturally Important Microorganisms, Mau, India.
Murugan KumarICAR-National Bureau of Agriculturally Important Microorganisms, Mau, India.
Hillol ChakdarICAR-National Bureau of Agriculturally Important Microorganisms, Mau, India.
Kuppusamy PandiyanICAR-National Bureau of Agriculturally Important Microorganisms, Mau, India.
Shiv Charan KumarICAR-National Bureau of Agriculturally Important Microorganisms, Mau, India.
Mohammad Tarique ZeyadICAR-National Bureau of Agriculturally Important Microorganisms, Mau, India.
Bansh Narayan SinghICAR-National Bureau of Agriculturally Important Microorganisms, Mau, India.
K T RavikiranICAR-Central Soil Salinity Research Institute, RRS, Lucknow, India.
Arunima MahtoNational Institute of Plant Genome Research, New Delhi, India.
Alok Kumar SrivastavaICAR-National Bureau of Agriculturally Important Microorganisms, Mau, India.
Anil Kumar SaxenaICAR-National Bureau of Agriculturally Important Microorganisms, Mau, India.
National Bureau of Agriculturally Important Microorganisms · INCentral Soil Salinity Research Institute · INCentral Institute for Research on Cotton Technology · INNational Institute of Plant Genome Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice plants display a unique root ecosystem comprising oxic-anoxic zones, harboring a plethora of metabolic interactions mediated by its root microbiome. Since agricultural land is limited, an increase in rice production will rely on novel methods of yield enhancement. The nascent concept of tailoring plant phenotype through the intervention of synthetic microbial communities (SynComs) is inspired by the genetics and ecology of core rhizobiome. In this direction, we have studied structural and functional variations in the root microbiome of 10

Indexed as

community metagenomicsindica ricemachine learningPiCRUSTSynComs

Identifiers

PMID36452918
PMCPMC9702084
OpenAlexW4309042826

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.