Evidence map›Paper›PMID 40210805›Full record

ArticleMolecular biology reports2025

Over-expression of Tfgd2-RsAFP2 fusion gene isolated from fenugreek and radish shows enhanced disease resistance against Alternaria blight disease caused by Alternaria alternata in transgenic pigeonpea.

Nirmala Nalluri, Vasavirama Karri

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

2 authors.

Nirmala NalluriDepartment of Life Sciences, GITAM School of Science, GITAM (Deemed to Be University), Visakhapatnam, 530045, Andhra Pradesh, India.ORCID http://orcid.org/0000-0002-0403-1600
Vasavirama KarriDepartment of Biotechnology, GITAM School of Technology, GITAM (Deemed to Be University), Visakhapatnam, 530045, Andhra Pradesh, India. vasavi8@gmail.com.ORCID http://orcid.org/0000-0002-6940-5677

Funding

Science and Engineering Research Board (SERB), Department of Science & Technology, Government of India (SERB-YSS (SB/YS/LS-83/2014)
6 · The paper itself

Abstract

backgroundPigeonpea is the second-most significant legume crop grown in tropics and subtropics. A substantial global concern lowering the yields of important crops like pigeonpea is disease-related damage which is accounting for major crop loss. Pigeonpea infestation with numerous insect pests and diseases result in reduced productivity. Among these Alternaria blight disease caused by Alternaria alternata fungi is one among the factors leading to decreased productivity. At micro-molar concentrations, fungal and bacterial growth can be inhibited by plant defensins, which are short, basic peptides rich in cysteine. METHODS AND

resultsIn the present investigation, two defensins Tfgd2 (Trigonella foenum-graecum defensin 2) and RsAFP2 (Raphanus sativus antifungal protein 2) combined by a linker peptide was incorporated as a fusion gene into pigeonpea through Agrobacterium mediated transformation. T

conclusionOur findings illustrate the promising activity of Tfgd2-RsAFP2 fusion gene in conferring Alternaria blight disease resistance in transgenic pigeonpea and the same can be employed in the further development of disease resistant transgenic lines in pigeonpea improvement studies.

Indexed as

AlternariaCajanusDefensinsDisease ResistancePlant DiseasesPlant ProteinsRaphanusPlants, Genetically ModifiedDefensinsPlant ProteinsAgrobacterium mediated transformationAlternaria alternataFusion genePigeonpea

Identifiers

What OpenQuestion holds

Textmetadata
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.