Abstract
Background
Earlier 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.
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Data availability
The data used to support the review of this study is included in the review article.
Abbreviations
- QTLs:
-
Quantitative trait loci
- RIL:
-
Recombinant inbred line
- LD:
-
Linkage disequilibrium
- GWAS:
-
Genome-wide association study
- SNP:
-
Single-nucleotide polymorphism
- WGS:
-
Whole genome sequencing
- GS:
-
Genomic selection
- NGS:
-
Next-generation sequencing
- MAS:
-
Marker-assisted selection
- GBS:
-
Genotyping-by-sequencing
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YAK conceived the need for this review and suggested it to GZ who initiated the process and did a good part of the review work.GZ, DD and AK assisted in the write-up, and YK, GZ, and TG prepared the framework for the study. All authors read and approved the final manuscript.
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Zahid, G., Aka Kaçar, Y., Dönmez, D. et al. Perspectives and recent progress of genome-wide association studies (GWAS) in fruits. Mol Biol Rep 49, 5341–5352 (2022). https://doi.org/10.1007/s11033-021-07055-9
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DOI: https://doi.org/10.1007/s11033-021-07055-9


