Evidence map›Paper›PMID 40241265›Full record

ArticleAnnals of botany2025

Allelic value in gene regulation-implications for gene editing.

Mazahar Moin, Mayank Rai, Wricha Tyagi

Abstract read
In one paragraph

Article in Annals of botany, 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

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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
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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

3 authors.

Mazahar MoinInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, 502324, Telangana, India.
Mayank RaiPost Graduate College of Agriculture, Dr Rajendra Prasad Central Agricultural University (RPCAU), Pusa, Samastipur 848125, Bihar, India.
Wricha TyagiInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, 502324, Telangana, India.ORCID 0000-0001-9625-4870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGene editing has emerged as the most precise trait modification tool in plant breeding. However, an understanding of what to target and in which genetic background to obtain the intended phenotype is still emerging. This perspective presents an analytical overview of traits targeted, particularly in tomato and rice, where extensive data on gene editing are available in the public domain. SCOPE: The available gene editing data on allelic values for a given molecular pathway in crops like tomato and rice are revisited. The phenotypes of edits generated across genetic backgrounds were assessed and compared with available resequencing and phenotypic data. The traits evaluated in the current perspective were de novo domestication, grain quality, fruit colour, yield-related traits and stress tolerance to check whether the data available give significant leads to address these traits via editing in other crops. The rationale for editing a particular gene lies in the understanding of the diverse alleles generated, and in this perspective we attempt to discern both the advancements made and the bottlenecks encountered.

conclusionsThe effectiveness of gene editing relies significantly on the roles of alleles generated in regulating specific genetic pathways. It is essential to conduct functional validation of the targeted allele across multiple distinct genetic backgrounds to ascertain its utility. The influence an allele exerts on a given trait is contingent upon factors like the nature of the trait, the position of the gene within a given pathway, and the genetic background in which it has been/will be tested. This perspective highlights how editing has led to a range of phenotypic variations influenced by the genetic background, with certain lines achieving the desired phenotype alongside pleiotropic effects, whereas others do not manifest the expected phenotype. This challenge may be addressed by prioritizing the identification of the right candidate and specific motifs in the regulatory regions as potential targets rather than directly intervening in coding sequences.

Indexed as

Gene EditingGene Expression Regulation, PlantOryzaSolanum lycopersicumAllelesCrops, AgriculturalPhenotypePlant BreedingAllelesgenetic backgroundphenotypericetomatotrait

Identifiers

PMID40241265
PMCPMC12464954

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Registered trials

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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.