RESUMEN
Apricot breeding programs could be strongly improved by the availability of molecular markers linked to the main fruit quality traits. Fruit acidity is one of the key factors in consumer acceptance, but despite its importance, the molecular bases of this trait are still poorly understood. In order to increase the genetic knowledge on the fruit acidity, an F1 apricot population ('Lito' × 'BO81604311') has been phenotyped for titratable acidity and juice pH for the three following years. In addition, the contents of the main organic acids of the juice (malate, citrate, and quinate) were also evaluated. A Gaussian distribution was observed for most of the traits in this progeny, confirming their quantitative inheritance. An available simple sequence repeat (SSR)-based molecular map, implemented with new markers in specific genomic regions, was used to perform a quantitative trait loci (QTL) analysis. The molecular map was also anchored to the recently published apricot genome sequence of 'Stella.' Several major QTLs linked to fruit acidity-related traits have been identified both in the 'Lito' (no. 21) and 'BO81604311' (no. 13), distributed in five linkage groups (LG 4, 5, 6, 7, and 8). Some of these QTLs show good stability between years and their linked markers were used to identify candidate genes in specific QTLs genomic regions.
RESUMEN
Amygdalin is a cyanogenic glycoside found in the seeds of several plants belonging to the Rosaceae family. Cyanogenic glycosides can be specifically probed by Raman spectroscopy due to an inherent nitrile group which shows a well-resolved band near 2245 cm(-1). In the current study the subcellular distribution of amygdalin in thin apricot (Prunus armeniaca) seed sections is probed by high-resolution Raman imaging with a step size of 2.5 µm. Further, Raman images and line maps were collected from four apricot seeds with step sizes between 30 and 70 µm. The data were processed by functional group mapping and the spectral unmixing algorithm vertex component analysis. Spectral contributions of amygdalin, lipids, and cellulose were identified. One seed had low amygdalin content in its center and higher content toward its epidermis. The other three specimens showed different distributions of amygdalin, with highest concentration in the center and local concentration spots throughout the seed. We conclude from these preliminary results on Raman imaging in apricot seeds that amygdalin is unevenly distributed and its location does not follow the same pattern for all seeds. The observed biological variability of the amygdalin distribution cannot yet be explained satisfactorily and requires further investigation.
RESUMEN
In apricot the bitter flavor of seeds is determined by the amount of amygdalin, a cyanogenic glucoside whose cleavage by endogenous enzymes, upon seed crushing, releases toxic hydrogen cyanide. The presence of such a poisonous compound is an obstacle to the use and commercialization of apricot seeds for human or animal nutrition. To investigate the genetic loci involved in the determination of the bitter phenotype a combined genetic and biochemical approach was used, involving a candidate gene analysis and a fine phenotyping via quantitative nuclear magnetic resonance, on an F1 apricot progeny. Seven functional markers were developed and positioned on the genetic maps of the parental lines Lito and BO81604311 and seven putative QTLs for the bitterness level were determined. In conclusion, this analysis has revealed some loci involved in the shaping of the bitterness degree; has proven the complexity of the bitter trait in apricot, reporting an high variance of the QTLs found over the years; has showed the critical importance of the phenotyping step, whose precision and accuracy is a pre-requisite when studying such a multifactorial character.
