Evidence map›Paper›PMID 42092753›Full record

ArticleBMC genomic data2026

Shotgun metagenomic dataset of leaf endophytic microbiome of the garden sage (Salvia officinalis L.).

Mouliraj Palanisamy, Olubukola Oluranti Babalola, Sathishkumar Ramalingam

Abstract read
In one paragraph

Article in BMC genomic data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Mouliraj PalanisamyPlant Genetic Engineering Laboratory, Department of Biotechnology, Bharathiar University, Coimbatore, Tamil Nadu, 641046, India.ORCID 0009-0007-1880-1817
Olubukola Oluranti BabalolaFood Security and Safety Focus Area, Faculty of Natural and Agricultural Sciences, North-West University, Mmabatho, 2735, South Africa.ORCID 0000-0003-4344-1909
Sathishkumar RamalingamPlant Genetic Engineering Laboratory, Department of Biotechnology, Bharathiar University, Coimbatore, Tamil Nadu, 641046, India. rsathish@buc.edu.in.ORCID 0000-0002-3145-7324

Funding

Chief Minister`s Research Grant (CMRG), Government of Tamil Nadu, India CMRG2400927
6 · The paper itself

Abstract

objectivesGarden sage (Salvia officinalis L.) is a traditional medicinal plant known for its rich bioactive secondary metabolites. However, there is limited information about the diversity of endophytic microbial communities, including bacteria, fungi, archaea, and viruses. Therefore, the study employs shotgun metagenomics to generate and make publicly available a dataset representing the leaf endophytic microbiome of Salvia officinalis. DATA DESCRIPTION: Metagenomic DNA was extracted from leaves of S. officinalis collected as three biological replicates and sequenced using the Illumina NovaSeq X platform. Host-derived and contaminant sequences were removed by mapping reads to the S. officinalis reference genome using BWA-MEM. The resulting high-quality FASTQ files were analyzed to characterize the taxonomic composition of the endophytic microbiome using Kraken2-based classification.

Indexed as

EndophytesMetagenomeMetagenomicsMicrobiotaPlant LeavesSalvia officinalisBacteriaShotgun SequencingEndophytic microbiomePlant-microbe interactionsSalvia officinalisShotgun metagenome sequencingTaxonomic profiling

Identifiers

PMID42092753
PMCPMC13154648

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.