Evidence map›Paper›PMID 33972605›Full record

ArticleScientific reports2021

A TILLING by sequencing approach to identify induced mutations in sunflower genes.

Valentina Fanelli, Kathie J Ngo, Veronica L Thompson, Brennan R Silva, Helen Tsai, Wilma Sabetta, Cinzia Montemurro, Luca Comai, Stacey L Harmer

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Review
  3. Accelerated Breeding forPlants (Basel, Switzerland) · 2023
    Review
  4. Is it the end of TILLING era in plant science?Frontiers in plant science · 2023
    Review
  5. 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

9 authors at 3 institutions in 2 countries.

Valentina FanelliDepartment of Soil, Plant and Food Sciences (DiSSPA), University of Bari Aldo Moro, 70124, Bari, Italy. valentina.fanelli@uniba.it.
Kathie J NgoDepartment of Plant Biology, University of California, Davis, CA, 95616, USA.
Veronica L ThompsonDepartment of Plant Biology, University of California, Davis, CA, 95616, USA.
Brennan R SilvaDepartment of Plant Biology, University of California, Davis, CA, 95616, USA.
Helen TsaiDepartment of Plant Biology, University of California, Davis, CA, 95616, USA.
Wilma SabettaNational Research Council, Institute of Bioscience and BioResources-IBBR, 70124, Bari, Italy.
Cinzia MontemurroDepartment of Soil, Plant and Food Sciences (DiSSPA), University of Bari Aldo Moro, 70124, Bari, Italy.
Luca ComaiDepartment of Plant Biology, University of California, Davis, CA, 95616, USA.
Stacey L HarmerDepartment of Plant Biology, University of California, Davis, CA, 95616, USA. slharmer@ucdavis.edu.
University of California, Davis · USUniversity of Bari Aldo Moro · ITInstitute of Biosciences and Bioresources · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Targeting Induced Local Lesions in Genomes (TILLING) technology is a reverse genetic strategy broadly applicable to every kind of genome and represents an attractive tool for functional genomic and agronomic applications. It consists of chemical random mutagenesis followed by high-throughput screening of point mutations in targeted genomic regions. Although multiple methods for mutation discovery in amplicons have been described, next-generation sequencing (NGS) is the tool of choice for mutation detection because it quickly allows for the analysis of a large number of amplicons. The aim of the present work was to screen a previously generated sunflower TILLING population and identify alterations in genes involved in several important and complex physiological processes. Twenty-one candidate sunflower genes were chosen as targets for the screening. The TILLING by sequencing strategy allowed us to identify multiple mutations in selected genes and we subsequently validated 16 mutations in 11 different genes through Sanger sequencing. In addition to addressing challenges posed by outcrossing, our detection and validation of mutations in multiple regulatory loci highlights the importance of this sunflower population as a genetic resource.

Indexed as

Genome, PlantComputational BiologyCrops, AgriculturalGene LibraryGenetic LociHelianthusHigh-Throughput Nucleotide SequencingMutagenesisPlant BreedingPoint MutationPolymorphism, Single NucleotideReverse Genetics

Identifiers

PMID33972605
PMCPMC8110748
OpenAlexW3163061010

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.