Evidence map›Paper›PMID 41029518›Full record

ArticleBMC plant biology2025

Underpinning regions associated with nitrogen use efficiency in Brassica juncea L. Czern: using associative transcriptomics approach.

Akshita Awasthi, Indu Rialch, Harjeevan Kaur, Sanjula Sharma, Andrea L Harper, Lenka Havlickova, Ian Bancroft, Surinder S Banga

Abstract read
In one paragraph

Article in BMC plant biology, 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

8 authors.

Akshita AwasthiDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India.
Indu RialchDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India. indudehal@pau.edu.
Harjeevan KaurGurdev Singh Khush Institute of Genetics, Plant Breeding and Biotechnology, Punjab Agricultural University, Ludhiana, India.
Sanjula SharmaDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India.
Andrea L HarperDepartment of Biology, University of York, Heslington, York YO10 5DD, UK.
Lenka HavlickovaDepartment of Biology, University of York, Heslington, York YO10 5DD, UK.
Ian BancroftDepartment of Biology, University of York, Heslington, York YO10 5DD, UK.
Surinder S BangaDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India.

Funding

Newton-Bhabha Fund UK-India Pulses and Oilseeds Research Initiative, with funding from UK's Official Development Assistance Newton Fund awarded by UK Biotechnology and Biological Sciences Research Council BB/R019819/1
6 · The paper itself

Abstract

backgroundBreeding crops for enhanced understanding of apparent nitrogen use efficiency (NUE) requires understanding of phenotypic variations and underlying genetics. Improving NUE in Indian mustard is considered important to reduce nitrogen (N) fertilizer use without sacrificing crop yield. In the present study, 260 genotypes of Brassica juncea were field evaluated for seed yield and NUE-related traits at three N levels: N

resultsN response in plants varied depending on the dose of nitrogen applied and tended to vary across genotypes and the plant's developmental stages. A pooled analysis of variance revealed significant variations in the diversity-fixed foundation set for all the traits. Genotypes 252,026, PBR-91, EJ-15, IM-22, YSRL-9, RE-14, and IM-18 recorded high NUE at low N levels. These also showed improved crop performance under high N. Association analysis and principal component analysis revealed positive associations between seed yield and NUE. Associative transcriptomics enabled the prediction of 15 candidate genes for association with NUE, N uptake efficiency (NUpE), and N utilization efficiency (NUtE). Notable among these were: NRT1.7, AAP5, and PTR1. These are major nitrogen, amino acid, and protein transporter genes. Another significant amino acid transporter gene, AAP5, appeared associated with NUE under limited N conditions.

conclusionsBreeding for high NUE will be aided by sequence information for predicted candidate genes. Molecular pathways controlling nitrogen assimilation, transport, and redistribution within plants can be revealed by these genes.

Indexed as

Mustard PlantNitrogenTranscriptomeCrops, AgriculturalFertilizersGene Expression ProfilingGenotypePhenotypeSeedsFertilizersNitrogenAssociation mappingIndian mustardNUENUpENUtETransporter genes

Identifiers

PMID41029518
PMCPMC12487128

What OpenQuestion 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 OpenQuestion graph.