Evidence map›Paper›PMID 35064403›Full record

ReviewMolecular biology reports2022

Perspectives and recent progress of genome-wide association studies (GWAS) in fruits.

Ghassan Zahid, Yıldız Aka Kaçar, Dicle Dönmez, Ayzin Küden, Tommaso Giordani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 28 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Ghassan ZahidDepartment of Biotechnology, Institute of Natural and Applied Sciences, Çukurova University, 01330, Adana, Turkey. ghassanzahid@gmail.com.ORCID http://orcid.org/0000-0003-3516-362X
Yıldız Aka KaçarDepartment of Horticulture, Faculty of Agriculture, Çukurova University, 01330, Adana, Turkey.ORCID http://orcid.org/0000-0001-5314-7952
Dicle DönmezBiotechnology Research and Application Center, Çukurova University, 01330, Adana, Turkey.ORCID http://orcid.org/0000-0002-7446-9405
Ayzin KüdenDepartment of Horticulture, Faculty of Agriculture, Çukurova University, 01330, Adana, Turkey.ORCID http://orcid.org/0000-0002-0811-6695
Tommaso GiordaniDepartment of Agriculture, Food and Environment, University of Pisa, 56124, Pisa, Italy.ORCID http://orcid.org/0000-0003-2933-5683
Cukurova University · TRUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarlier next-generation sequencing technologies are being vastly used to explore, administer, and investigate the gene space with accurate profiling of nucleotide variations in the germplasm. OVERVIEW AND PROGRESS: Recently, novel advancements in high-throughput sequencing technologies allow a genotyping-by-sequencing approach that has opened up new horizons for extensive genotyping exploiting single-nucleotide-polymorphisms (SNPs). This method acts as a bridge to support and minimize a genotype to phenotype gap allowing genetic selection at the genome-wide level, named genomic selection that could facilitate the selection of traits also in the pomology sector. In addition to this, genome-wide genotyping is a prerequisite for genome-wide association studies that have been used successfully to discover the genes, which control polygenic traits including the genetic loci, associated with the trait of interest in fruit crops. AIMS AND PROSPECTS: This review article emphasizes the role of genome-wide approaches to unlock and explore the genetic potential along with the detection of SNPs affecting the phenotype of fruit crops and highlights the prospects of genome-wide association studies in fruits.

Indexed as

FruitGenome-Wide Association StudyCrops, AgriculturalGenotypeHigh-Throughput Nucleotide SequencingNucleotidesPolymorphism, Single NucleotideNucleotidesFruitsGenome-wide association studies (GWAS)Genomic selection (GS)Genotyping-by-sequencing (GBS)Next-generation sequencing (NGS)Single-nucleotide polymorphisms (SNPs)

Identifiers

PMID35064403
OpenAlexW4207066238

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.