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Review
. 2022 Nov 1;12(11):1752.
doi: 10.3390/life12111752.

Utilization of Genotyping-by-Sequencing (GBS) for Rice Pre-Breeding and Improvement: A Review

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Review

Utilization of Genotyping-by-Sequencing (GBS) for Rice Pre-Breeding and Improvement: A Review

Vincent Pamugas Reyes et al. Life (Basel). .

Abstract

Molecular markers play a crucial role in the improvement of rice. To benefit from these markers, genotyping is carried out to identify the differences at a specific position in the genome of individuals. The advances in sequencing technologies have led to the development of different genotyping techniques such as genotyping-by-sequencing. Unlike PCR-fragment-based genotyping, genotyping-by-sequencing has enabled the parallel sequencing and genotyping of hundreds of samples in a single run, making it more cost-effective. Currently, GBS is being used in several pre-breeding programs of rice to identify beneficial genes and QTL from different rice genetic resources. In this review, we present the current advances in the utilization of genotyping-by-sequencing for the development of rice pre-breeding materials and the improvement of existing rice cultivars. The challenges and perspectives of using this approach are also highlighted.

Keywords: DNA markers; NGS; genomic selection; molecular breeding.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Conventional scheme for gene discovery and breeding. Materials in the hatched blue box are suitable to apply GBS.
Figure 2
Figure 2
Schematic diagram of a simplified implementation of genomic selection in rice.
Figure 3
Figure 3
General drawbacks of GBS. (A) missing reads resulting in missing genotypes. (B) sequencing errors resulting in incorrect genotypes. (C) undercalled heterozygosity, SNP4 of progeny 2 is likely to be “H” (heterozygous) but called as “A” (same as parent A). Hyphens (“-”) indicate monomorphic sites. Letters highlighted in gray represent the type of drawback.
Figure 4
Figure 4
Visual representation of imputation and error correction in GBS data. Black = missing data, Blue = parent 1, Orange = parent 2, Green = heterozygous allele.

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