Articles
High-throughput genotyping and SNP-trait association of phenology, fruit quality, and physiological traits in apricot (Prunus armeniaca L.) by using GBS
Article number
1412_50
Pages
337 – 344
Language
English
Abstract
The apricot tree (Prunus armeniaca L.) is characterized by its edible, tasty, and nutritious fruits.
Nowadays, both farmers and consumers have increasingly demanding preferences regarding extending the harvest season, fruit quality, and postharvest behavior, which affect the shelf-life period, especially in climacteric fruits like apricots.
Therefore, apricot breeding programs focus their main goals on obtaining new releases extending the fruit calendar as much as possible including early and late ripening cultivars; higher fruit quality in terms of fruit size, color, soluble solids content, and malic acid, as well as the balance between them; and searching a longer postharvest period.
In this work, the main aim has been to search for new marker-trait associations for phenology, fruit quality, and physiology traits prior to the reconstruction of new genetic maps and QTLs analysis of ‘Bergeron’ × ‘Currot’ (‘B×C’, n=134) and ‘Goldrich’ × ‘Currot’ (‘G×C’, n=159) apricot populations using Genotyping by Sequencing (GBS) technology.
The alignment of GBS reads achieved a mapping rate of 99.3% using ‘Rojo Pasión’ as a reference genome, identifying 126,412 SNPs across all DNA samples.
A total of 85,836 and 69,045 SNPs with min read count of 8 across ‘B×C’ and ‘G×C’ populations were respectively identified.
Phenological traits such as flowering time or ripening time; fruit quality traits such as fruit weight, fruit color, soluble solids content, and malic acid; and physiological traits such as chlorophyll content and fruit firmness monitoring were analyzed.
Phenotyping, combined with GBS, will enable us to validate and relocate ripening time and skin color QTLs on linkage groups (LGs) 4 and 3, respectively.
Additionally, we look forward to identifying new marker-trait associations for phenology, fruit quality, and postharvest-related traits.
Nowadays, both farmers and consumers have increasingly demanding preferences regarding extending the harvest season, fruit quality, and postharvest behavior, which affect the shelf-life period, especially in climacteric fruits like apricots.
Therefore, apricot breeding programs focus their main goals on obtaining new releases extending the fruit calendar as much as possible including early and late ripening cultivars; higher fruit quality in terms of fruit size, color, soluble solids content, and malic acid, as well as the balance between them; and searching a longer postharvest period.
In this work, the main aim has been to search for new marker-trait associations for phenology, fruit quality, and physiology traits prior to the reconstruction of new genetic maps and QTLs analysis of ‘Bergeron’ × ‘Currot’ (‘B×C’, n=134) and ‘Goldrich’ × ‘Currot’ (‘G×C’, n=159) apricot populations using Genotyping by Sequencing (GBS) technology.
The alignment of GBS reads achieved a mapping rate of 99.3% using ‘Rojo Pasión’ as a reference genome, identifying 126,412 SNPs across all DNA samples.
A total of 85,836 and 69,045 SNPs with min read count of 8 across ‘B×C’ and ‘G×C’ populations were respectively identified.
Phenological traits such as flowering time or ripening time; fruit quality traits such as fruit weight, fruit color, soluble solids content, and malic acid; and physiological traits such as chlorophyll content and fruit firmness monitoring were analyzed.
Phenotyping, combined with GBS, will enable us to validate and relocate ripening time and skin color QTLs on linkage groups (LGs) 4 and 3, respectively.
Additionally, we look forward to identifying new marker-trait associations for phenology, fruit quality, and postharvest-related traits.
Authors
J.A. Salazar, G. Ortuño-Hernández, M. Nicolas-Almansa, P. Martínez-Gómez, D. Ruiz
Keywords
GBS, SNPs, phenology, fruit quality, physiology, marker-trait association, Prunus armeniaca
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