Evidence map›Paper›PMID 42164564›Full record

ArticleCurrent genomics2025

A Novel

Bharat Taindu Jain, Mukul Jain, Nil Patil, Alpa Yadav, Paramdeep Singh Danda, Meenakshi Sharma, Prashant Kaushik

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In one paragraph

Article in Current genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Bharat Taindu JainDepartment of Genetics and Plant Breeding, CCS, HAU, College of Agriculture, Bawal, Haryana 123501, India.
Mukul JainCell and Developmental Biology Lab, Research & Development Cell, Parul University, Vadodara, Gujarat 391760, India.
Nil PatilCell and Developmental Biology Lab, Research & Development Cell, Parul University, Vadodara, Gujarat 391760, India.
Alpa YadavDepartment of Botany, Indira Gandhi University, Rewari 125002, India.
Paramdeep Singh DandaDepartment of Biochemistry, Punjab Agricultural University, Ludhiana 141027, India.
Meenakshi SharmaDepartment of Chemistry, Ranchi University, Ranchi 834001, India.
Prashant KaushikChaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aims to conduct a comprehensive transcriptome analysis of Methodology: High-throughput Illumina sequencing was performed, generating 32.97 million clean reads from roots and 33.96 million from leaves. A 98.75% complete Results: A total of 316,613 SNPs were identified in roots and 247,967 SNPs in leaves. SSR analysis revealed 21,634 markers, with mononucleotide repeats being predominant. A total of 5,781 transcription factors (TFs) were characterized, including members of the C2H2, MYB-HB-like, and bHLH families. Differential expression analysis identified 4,643 DEGs, with flavonoid biosynthesis genes upregulated in leaves and lignin-associated genes upregulated in roots. Discussion: GO and KEGG analyses highlighted significant enrichment of metabolic and biosynthetic pathways. The medicinal benefits of Conclusion: This study provides valuable SNP and SSR markers and offers insights into the genetic mechanisms underlying the medicinal properties of

Indexed as

de novo assemblyflavonoid biosynthesisPhalsaSNPsSSRstranscriptome

Identifiers

PMID42164564
PMCPMC13154278

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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.