Evidence map›Paper›PMID 35943623›Full record

ArticleTransgenic research2022

Conversion of sheath blight susceptible indica and japonica rice cultivars into moderately resistant through expression of antifungal β-1,3-glucanase transgene from Trichoderma spp.

Shivali Pathania, Jagjeet Singh Lore, Anu Kalia, Ajinder Kaur, Manveer Sharma, Gurjit Singh Mangat, Jagdeep Singh Sandhu

Abstract read
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In one paragraph

Article in Transgenic research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Transcriptomic Response ofJournal of fungi (Basel, Switzerland) · 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

7 authors at 1 institution in 1 country.

Shivali PathaniaSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India.
Jagjeet Singh LoreDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India.
Anu KaliaElectron Microscopy and Nanoscience Laboratory, Punjab Agricultural University, Ludhiana, India.
Ajinder KaurSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India.
Manveer SharmaSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India.
Gurjit Singh MangatDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India.
Jagdeep Singh SandhuSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India. js_sandhu@pau.edu.ORCID 0000-0003-3743-2985
Punjab Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice is an important food crop for three billion people worldwide. The crop is vulnerable to several diseases. Sheath blight caused by fungal pathogen Rhizoctonia solani is a significant threat to rice cultivation accounting for up to 50% yield losses. The pathogen penetrates leaf blades and sheaths, leading to plant necrosis; and major disease resistance gene against the pathogen is not available. This study describes development of sheath blight resistant transgenic indica and japonica rice cultivars through introduction of antifungal β-1,3-glucanase transgene cloned from Trichoderma. The transgene integration and expression in transformed T

Indexed as

OryzaTrichodermaAntifungal AgentsHumansPlant DiseasesTransgenesAntifungal AgentsBioassayOptical microscopyRhizoctonia solaniSheath blight resistanceTransgenic riceβ-1,3-glucanase

Identifiers

PMID35943623
OpenAlexW4293323525

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.