Genetic linkage map of peach [Prunus persica (L.) Batsch] using morphological and molecular markers

Dirlewanger, Elisabeth; Pronier, V.; Parvery, C.; Rothan, Christophe; Guye, A.; Monet, R.

doi:10.1007/s001220050969

Cited by 138 publications

(86 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Moreover, several authors (Dirlewanger et al, 1998;Etienne et al, 2002;Quilot et al, 2004;Cantín et al, 2010) have localized QTLs involved in the control of physico-chemical components of different fruit quality traits, such as sugars and organic acid contents on linkage groups 4, 5 and 6. Regarding antioxidant compounds, Dirlewanger et al (2006) analyzed the genetic control of fruit phenolics in the peach F2 population ('Ferjalou-Jalousia'® × 'Fantasia') and detected QTLs involved in phenolic compounds on LGs 1, 2, 4 and 6.…”

Section: Introductionmentioning

confidence: 99%

QTL Analysis of Fruit Quality Traits in Peach [Prunus Persica (L.) Batsch] Using Dense SNP Maps

Zeballos¹,

Abidi²,

Soro³

et al. 2015

Acta Hortic.

View full text Add to dashboard Cite

Fruit quality is the main criterion used for selection of new varieties in peach, and it is usually defined by the conjunction of organoleptic and nutritional traits and postharvest behavior. The aim of this study was the identification of quantitative trait loci (QTL) for several fruit quality traits using an F1 segregating population of 75 seedlings derived from the cross between 'Venus' and 'Big Top' nectarine cultivars. The progeny was evaluated over several years for agronomic and pomological characteristics (including basic quality traits and antioxidant compounds content) and also genotyped using SNPs included in the 'IPSC 9K peach SNP array v1' developed by the International Peach SNP Consortium, which carries 8,144 SNPs. Two preliminary dense genetic linkage maps were constructed for 'Venus' and 'Big Top', with 160 and 208 markers placed onto 11 linkage groups, respectively. A second round was used to identify QTLs that were mapped over twelve LG representing seven peach chromosomes. Some of the QTLs mapped in the same position of previously reported QTLs, interestingly QTLs for fructose in LG 6 and phenolic compounds in LG2 were detected for the first time. LG4 in 'Venus' and LG5 in 'Big Top' maps presented the highest density of QTLs controlling several traits. This work represents the first study identifying QTLs for fruit quality traits using the high-density SNP array 'IPSC 9K peach SNP array v1' in an F1 nectarine family.

show abstract

Section: Introductionmentioning

confidence: 99%

QTL Analysis of Fruit Quality Traits in Peach [Prunus Persica (L.) Batsch] Using Dense SNP Maps

Zeballos¹,

Abidi²,

Soro³

et al. 2015

Acta Hortic.

View full text Add to dashboard Cite

show abstract

“…Because of the high degree of transferability of molecular markers among Rosaceae (Gasic et al 2009), peach breeding programs can be facilitated by combining desirable alleles from different accessions or other Prunus species (Dirlewanger et al 2004a). Linkage maps from peach varietal crosses have been developed (Dirlewanger et al 1998;Lu et al 1998;Sosinski et al 1998;Yamamoto et al 2001;Gillen and Bliss 2005;Blenda et al 2007;Eduardo et al 2011), along with maps deriving from crosses between almond, peach, apricot, cherry, Prunus davidiana, Prunus cerasifera, and Prunus ferganensis (Dirlewanger et al 1996(Dirlewanger et al , 2004bDettori et al 2001;Aranzana et al 2003;Foulongne et al 2003a). Moreover, in these species, the results of several QTL studies have been reported Dirlewanger et al 1999;Quarta et al 2000;Etienne et al 2002;Foulongne et al 2003b;Quilot et al 2004;Ogundiwin et al 2009;Eduardo et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Genetic dissection of aroma volatile compounds from the essential oil of peach fruit: QTL analysis and identification of candidate genes using dense SNP maps

Eduardo

Chietera

Pirona

et al. 2012

Tree Genetics & Genomes

102

101

View full text Add to dashboard Cite

Volatile organic compounds (VOCs) in plants are involved in aroma and pest resistance. These compounds form a complex mixture whose composition is specific to species and often to varieties. Despite their importance as essential factors that determine peach fruit quality, understanding of molecular, genetic, and physiological mechanisms underlying aroma formation is limited. The aim of this study was the identification in peach of quantitative trait loci (QTLs) for fruit VOCs to understand their genetic basis using an F1 population of 126 seedlings deriving from the cross between "Bolero" (B) and "OroA" (O), two peach cultivars differing in their aroma profile. Dense single nucleotide polymorphism (SNP) and SSR maps covering the eight linkage groups of the peach genome were constructed by genotyping with the International Peach SNP Consortium peach SNP array v1, and data for 23 VOCs with high or unknown "odor activity value" were obtained by gas chromatography-mass spectrometry analysis of fruit essential oil in the years 2007 & Genomes (2013) 9:189-204 DOI 10.1007 QTLs were identified, most consistent in both years. QTLs were identified for the 23 VOCs studied, including three major QTLs for nonanal, linalool, and for p-menth-1-en-9-al stable in both years. Collocations between candidate genes and major QTLs were identified taking advantage of the peach genome sequence: genes encoding two putative terpene synthases and one lipoxygenase (Lox) might be involved in the biosynthesis of linalool and p-menth-1-en-9-al, and nonanal, respectively. Implications for marker-assisted selection and future research on the subject are discussed.

show abstract

“…The characteristics of peach that make it a very interesting candidate as a genomic model are that it is a self-pollinating diploid (2n=16), has a small genome size of approximately 300Mb haploid size (approximately twice the size of Arabidopsis), and a relatively short juvenile stage for a perennial tree species (Arumuganathan and Earle, 1991;Baird et al, 1994;Georgi et al, 2002;Sosinski et al, 2000). Additionally, numerous efforts have been made to create tools to assist in developing peach as a genome model, and molecular markers, genetic linkage maps and BAC libraries have been developed (Dirlewanger et al, 1998;Georgi et al, 2002;Sosinski et al, 2000;Wang et al, 2002a, b).…”

mentioning

confidence: 99%

A Rapid and Efficient Method for Purifying High Quality Total RNA from Peaches (Prunus persica) for Functional Genomics Analyses

et al. 2005

View full text Add to dashboard Cite

Prunus persica has been proposed as a genomic model for deciduous trees and the Rosaceae family. Optimized protocols for RNA isolation are necessary to further advance studies in this model species such that functional genomics analyses may be performed. Here we present an optimized protocol to rapidly and efficiently purify high quality total RNA from peach fruits (Prunus persica). Isolating high-quality RNA from fruit tissue is often difficult due to large quantities of polysaccharides and polyphenolic compounds that accumulate in this tissue and co-purify with the RNA. Here we demonstrate that a modified version of the method used to isolate RNA from pine trees and the woody plant Cinnamomun tenuipilum is ideal for isolating high quality RNA from the fruits of Prunus persica. This RNA may be used for many functional genomic based experiments such as RT-PCR and the construction of large-insert cDNA libraries.

show abstract

Genetic linkage map of peach [Prunus persica (L.) Batsch] using morphological and molecular markers

Cited by 138 publications

References 0 publications

QTL Analysis of Fruit Quality Traits in Peach [Prunus Persica (L.) Batsch] Using Dense SNP Maps

QTL Analysis of Fruit Quality Traits in Peach [Prunus Persica (L.) Batsch] Using Dense SNP Maps

Genetic dissection of aroma volatile compounds from the essential oil of peach fruit: QTL analysis and identification of candidate genes using dense SNP maps

A Rapid and Efficient Method for Purifying High Quality Total RNA from Peaches (Prunus persica) for Functional Genomics Analyses

Contact Info

Product

Resources

About