Identification of QTLS for Fruit Quality Traits in Apricot

Ruiz, David; Lambert, Patrick; Audergon, Jean‐Marc; Dondini, Luca; Tartarini, Stefano; Adami, M.; Gennari, F.; Cervellati, Claudia; Franceschi, Paolo De; Sansavini, Silviero; Bureau, Sylvie; Gouble, Barbara; Reich, M.; Renard, Cathérine M.G.C.; Bassi, D.; Testolin, R.

doi:10.17660/actahortic.2010.862.93

Cited by 30 publications

(30 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For all the evaluated fruit quality traits we observed a great variability and noticeable segregation in the progenies (Figure 1 ). FW, IAD, FIRM, and SSC histograms revealed normal distribution according to Shapiro-Wilks test, indicating a polygenic nature and quantitative inheritance of these traits (Table S1 ), as previously reported in other Prunus species (Ruiz et al, 2010 ). RT histograms tended toward bimodal distribution especially for 2015 with mid-early and late-harvest seedlings, similar to findings in other Prunus species like peach (Eduardo et al, 2011 ; Pirona et al, 2013 ).…”

Section: Resultssupporting

confidence: 83%

“…Regarding the correlations between years, the highest values were found for RT, FW, and SKC (0.74, 0.64, and 0.80, respectively), all of which were significant with p < 0.005 (Table 3 ). Other phenotypic studies in peach (Quilot et al, 2004 ; Eduardo et al, 2011 ) and apricot (Ruiz et al, 2010 ; Salazar et al, 2013 ) show especially high inter-annual correlations for RT and SKC, but not so much for FW. These high correlations between years reveal that the genetic effect from genotypes is greater than the environmental effect for these traits, which makes them well-suited to being improved.…”

Section: Resultsmentioning

confidence: 90%

See 1 more Smart Citation

Genotyping by Sequencing for SNP-Based Linkage Analysis and Identification of QTLs Linked to Fruit Quality Traits in Japanese Plum (Prunus salicina Lindl.)

et al. 2017

View full text Add to dashboard Cite

Marker-assisted selection (MAS) in stone fruit (Prunus species) breeding is currently difficult to achieve due to the polygenic nature of the most relevant agronomic traits linked to fruit quality. Genotyping by sequencing (GBS), however, provides a large quantity of useful data suitable for fine mapping using Single Nucleotide Polymorphisms (SNPs) from a reference genome. In this study, GBS was used to genotype 272 seedlings of three F1 Japanese plum (Prunus salicina Lindl) progenies derived from crossing “98–99” (as a common female parent) with “Angeleno,” “September King,” and “September Queen” as male parents. Raw sequences were aligned to the Peach genome v1, and 42,909 filtered SNPs were obtained after sequence alignment. In addition, 153 seedlings from the “98–99” × “Angeleno” cross were used to develop a genetic map for each parent. A total of 981 SNPs were mapped (479 for “98–99” and 502 for “Angeleno”), covering a genetic distance of 688.8 and 647.03 cM, respectively. Fifty five seedlings from this progeny were phenotyped for different fruit quality traits including ripening time, fruit weight, fruit shape, chlorophyll index, skin color, flesh color, over color, firmness, and soluble solids content in the years 2015 and 2016. Linkage-based QTL analysis allowed the identification of genomic regions significantly associated with ripening time (LG4 of both parents and both phenotyping years), fruit skin color (LG3 and LG4 of both parents and both years), chlorophyll degradation index (LG3 of both parents in 2015) and fruit weight (LG7 of both parents in 2016). These results represent a promising situation for GBS in the identification of SNP variants associated to fruit quality traits, potentially applicable in breeding programs through MAS, in a highly heterozygous crop species such as Japanese plum.

show abstract

Section: Resultssupporting

confidence: 83%

Section: Resultsmentioning

confidence: 90%

Genotyping by Sequencing for SNP-Based Linkage Analysis and Identification of QTLs Linked to Fruit Quality Traits in Japanese Plum (Prunus salicina Lindl.)

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Other correlations between ripening date and fruit quality traits have also been described in different apricot progenies, such as acidity by Badenes et al (1998), soluble solids by Ruiz et al (2010) and Salazar et al (2013), and ethylene content by Ruiz et al (2010), where autocatalytic ethylene production implies a change in the growth stage to senescence, which promotes increased respiration and fruit maturation (Seymour et al 1993;Wills 1998).…”

Section: Inheritance and Correlations Of Phenological Traitsmentioning

confidence: 93%

Inheritance of reproductive phenology traits and related QTL identification in apricot

Salazar

Ruiz

Campoy

et al. 2016

Tree Genetics & Genomes

View full text Add to dashboard Cite

Reproductive phenological traits of great agronomical interest in apricot species, including flowering date, ripening date and fruit development period, were studied during 3 years in two F 1 progenies derived from the crosses 'Bergeron' × 'Currot' (B × C) and 'Goldrich' × 'Currot' (G × C). Results showed great variability and segregation in each population, confirming the polygenic nature and quantitative inheritance of all the studied traits. Genetic linkage maps were constructed combining SSR and SNP markers, using 87 markers in the 'B × C' population and 89 markers in 'G × C'. The genetic linkage maps in both progenies show the eight linkage groups (LGs) of apricot, covering a distance of 394.9 cM in 'Bergeron' and of 414.3 cM in 'Currot'. The 'Goldrich' and 'Currot' maps were of 353.5 and 422.3 cM, respectively. The average distance obtained between markers was thus 7.59 cM in 'Bergeron' and 7.53 cM in 'Currot', whereas the 'Goldrich' and 'Currot' averages were 5.6 and 7.5 cM, respectively. According to the polygenic nature of the studied phenology traits, QTLs linked to flowering date, ripening date and the fruit development period were identified during the 3 years of the study in all LGs except for LG 8. Among the QTLs identified, major QTLs for flowering and ripening date and the fruit development period were identified in LG 4, especially important in the 'G × C' population.

show abstract

“…The advent of genomic selection to breed for apricot quality traits requires a better understanding of their genetic architecture. However, up to now, the genetic determinism underlying fruit quality in apricot was scarcely investigated ( Ruiz et al 2010 ). Thus, linkage mapping was performed in order to uncover the genetic architecture of the 10 fruit quality traits.…”

Section: Methodsmentioning

confidence: 99%

Adoption and Optimization of Genomic Selection To Sustain Breeding for Apricot Fruit Quality

Nsibi

Gouble

Bureau

et al. 2020

G3 Genes|Genomes|Genetics

View full text Add to dashboard Cite

Genomic selection (GS) is a breeding approach which exploits genome-wide information and whose unprecedented success has shaped several animal and plant breeding schemes through delivering their genetic progress. This is the first study assessing the potential of GS in apricot (Prunus armeniaca) to enhance postharvest fruit quality attributes. Genomic predictions were based on a F1 pseudo-testcross population, comprising 153 individuals with contrasting fruit quality traits. They were phenotyped for physical and biochemical fruit metrics in contrasting climatic conditions over two years. Prediction accuracy (PA) varied from 0.31 for glucose content with the Bayesian LASSO (BL) to 0.78 for ethylene production with RR-BLUP, which yielded the most accurate predictions in comparison to Bayesian models and only 10% out of 61,030 SNPs were sufficient to reach accurate predictions. Useful insights were provided on the genetic architecture of apricot fruit quality whose integration in prediction models improved their performance, notably for traits governed by major QTLs. Furthermore, multivariate modeling yielded promising outcomes in terms of PA within training partitions partially phenotyped for target traits. This provides a useful framework for the implementation of indirect selection based on easy-to-measure traits. Thus, we highlighted the main levers to take into account for the implementation of GS for fruit quality in apricot, but also to improve the genetic gain in perennial species.

show abstract

Identification of QTLS for Fruit Quality Traits in Apricot

Cited by 30 publications

References 0 publications

Genotyping by Sequencing for SNP-Based Linkage Analysis and Identification of QTLs Linked to Fruit Quality Traits in Japanese Plum (Prunus salicina Lindl.)

Genotyping by Sequencing for SNP-Based Linkage Analysis and Identification of QTLs Linked to Fruit Quality Traits in Japanese Plum (Prunus salicina Lindl.)

Inheritance of reproductive phenology traits and related QTL identification in apricot

Adoption and Optimization of Genomic Selection To Sustain Breeding for Apricot Fruit Quality

Contact Info

Product

Resources

About