Evidence map›Paper›PMID 37329484›Full record

ArticleFunctional & integrative genomics2023

DSP: database of disease susceptibility genes in plants.

Sehgeet Kaur, Ritika Bishnoi, Pragya Priyadarshini, Deepak Singla, Parveen Chhuneja

Abstract read
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In one paragraph

Article in Functional & integrative genomics, 2023. 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
1.6field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. All Roads Lead to Rome: Pathways to Engineering Disease Resistance in Plants.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  2. Genome sequencing ofFrontiers in plant science · 2023
    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

5 authors at 1 institution in 1 country.

Sehgeet KaurBioinformatics Centre, School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India.
Ritika BishnoiBioinformatics Centre, School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India.
Pragya PriyadarshiniBioinformatics Centre, School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India.
Deepak SinglaBioinformatics Centre, School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India. deepak@pau.edu.
Parveen ChhunejaBioinformatics Centre, School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India.
Punjab Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Host-pathogen interaction is the most crucial factor that evokes the host immune system to fight against pathogens. In contrast to specialized immune cells present in humans and animals, plants have disease resistance (R-) and disease susceptibility (S-) genes. R-genes confer disease resistance and are generally introgressed from wild crop relatives to cultivated crops. S-genes, on the other hand, assist pathogens in establishing contact, displaying counter-defense measures, and spreading the infection. To achieve resistance in a variety of crops, researchers are now focusing on the identification, silencing, editing, or elimination of crucial S-genes. To aid in this field, we created the first curated database of disease susceptibility genes in plants (DSP), with the simple and advanced search tool that allows researchers to restrict the query and mining of specified hits. SSR marker identification and primer designing could be performed with the help of MISA and Primer3 software, respectively. The DSP database is available at http://45.248.163.60/bic/sgenos/ and http://14.139.62.220/sgenos/ .

Indexed as

Crops, AgriculturalDisease ResistanceAnimalsDisease SusceptibilityHumansPlant DiseasesDatabaseDisease susceptibility genesGenome engineeringPathogenResistance

Identifiers

PMID37329484
OpenAlexW4381054261

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.