Evidence map›Paper›PMID 37311932›Full record

ReviewPlanta2023

Allele mining through TILLING and EcoTILLING approaches in vegetable crops.

Raman Selvakumar, Gograj Singh Jat, Dalasanuru Chandregowda Manjunathagowda

Abstract readReview
PubMed Publisher
In one paragraph

Review in Planta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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  4. Review
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 at 3 institutions in 1 country.

Raman SelvakumarICAR-Indian Agricultural Research Institute, Pusa Campus, New Delhi, 110 012, India.ORCID http://orcid.org/0000-0001-7566-7449
Gograj Singh JatICAR-Indian Agricultural Research Institute, Pusa Campus, New Delhi, 110 012, India. singhgograj@gmail.com.ORCID http://orcid.org/0000-0002-4715-0722
Dalasanuru Chandregowda ManjunathagowdaDivision of Vegetable Crops, ICAR-Indian Institute of Horticultural Research, Hessaraghatta Lake Post, Bengaluru, Karnataka, 560 089, India.ORCID http://orcid.org/0000-0002-1506-7633
Indian Agricultural Research Institute · INIndian Agricultural Statistics Research Institute · INIndian Institute of Horticultural Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MAIN

conclusionThe present review illustrates a comprehensive overview of the allele mining for genetic improvement in vegetable crops, and allele exploration methods and their utilization in various applications related to pre-breeding of economically important traits in vegetable crops. Vegetable crops have numerous wild descendants, ancestors and terrestrial races that could be exploited to develop high-yielding and climate-resilient varieties resistant/tolerant to biotic and abiotic stresses. To further boost the genetic potential of economic traits, the available genomic tools must be targeted and re-opened for exploitation of novel alleles from genetic stocks by the discovery of beneficial alleles from wild relatives and their introgression to cultivated types. This capability would be useful for giving plant breeders direct access to critical alleles that confer higher production, improve bioactive compounds, increase water and nutrient productivity as well as biotic and abiotic stress resilience. Allele mining is a new sophisticated technique for dissecting naturally occurring allelic variants in candidate genes that influence important traits which could be used for genetic improvement of vegetable crops. Target-induced local lesions in genomes (TILLINGs) is a sensitive mutation detection avenue in functional genomics, particularly wherein genome sequence information is limited or not available. Population exposure to chemical mutagens and the absence of selectivity lead to TILLING and EcoTILLING. EcoTILLING may lead to natural induction of SNPs and InDels. It is anticipated that as TILLING is used for vegetable crops improvement in the near future, indirect benefits will become apparent. Therefore, in this review we have highlighted the up-to-date information on allele mining for genetic enhancement in vegetable crops and methods of allele exploration and their use in pre-breeding for improvement of economic traits.

Indexed as

Plant BreedingVegetablesAllelesClimateCrops, AgriculturalAllele miningEcoTILLINGPre-breedingTILLINGVegetable crops

Identifiers

PMID37311932
OpenAlexW4380433685

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.