Although varying with context, quality of fresh fruits includes several properties such as color, texture, flavor and health promoting compounds. This thesis focused on two important quality aspects, namely texture and aroma in apple, and defining the genomic regions involved in the control of these two features. The genetic control of texture and VOCs production have been investigated using two marker-trait association analysis approaches: Pedigree Based Analysis (PBA) and Genome Wide Association Study (GWAS). In chapter 2, ASSIsT (Automatic SNP ScorIng Tool), a software dedicated for the efficient calling and filtering of SNPs from Illumina InfiniumÒ arrays is presented. ASSIsT builds on GenomeStudio® derived data and identifies markers showing reliable genotype calls (bi-allelic segregation pattern). In addition, ASSIsT identifies and re-edits SNP calls of markers showing additional alleles (null alleles or additional SNPs in the probe annealing site). Chapter 3 aimed to dissect the genetic control of fruit firmness in apple during storage through PBA and employing 24 bi-parental families (1216 individuals) connected by a common pedigree structure. Ten QTLs were identified encompassing eight linkage groups, which unravelled a QTL dynamics over storage shedding light on the specific genetic control at each time-point. Chapter 4: aimed to comprehensively decipher the genetic control of fruit texture. Two complementing QTL mapping approaches were employed together with a novel and high sophisticated phenotyping device for fruit texture. The PBA was carried out on six full-sib pedigreed families (416 individuals), while the GWAS was performed on a collection of 233 apple accessions. The texture analyser employed (TAXT-AED texture analyser) allowed the measurement of both the mechanical properties (firmness) and the acoustic properties (crispness) of fruit texture. The QTL results indicated chromosome 10 being associated in changes of the mechanical properties of fruit texture, while chromosomes 2 and 14 were more associated to the acoustic response. In Chapter 5 the interplay between texture and volatile organic compounds (VOCs) was investigated in 162 apple accessions. The array of volatile compounds phenotyped was implemented into a GWAS identifying seven chromosomes harbouring important candidate genes for aroma, such as MdAAT1 and MdIGS. Next, volatilome and fruit texture data were integrated revealing a negative correlation between these two features

Di Guardo, Mario (2017-09-21). Investigating the fruit texture genetic control in apple and its interplay with the production of volatile compounds. (Doctoral Thesis). Wageningen University, a.y. 2016/2017, GMPF. handle: http://hdl.handle.net/10449/48131

Investigating the fruit texture genetic control in apple and its interplay with the production of volatile compounds

Di Guardo, Mario
2017-09-21

Abstract

Although varying with context, quality of fresh fruits includes several properties such as color, texture, flavor and health promoting compounds. This thesis focused on two important quality aspects, namely texture and aroma in apple, and defining the genomic regions involved in the control of these two features. The genetic control of texture and VOCs production have been investigated using two marker-trait association analysis approaches: Pedigree Based Analysis (PBA) and Genome Wide Association Study (GWAS). In chapter 2, ASSIsT (Automatic SNP ScorIng Tool), a software dedicated for the efficient calling and filtering of SNPs from Illumina InfiniumÒ arrays is presented. ASSIsT builds on GenomeStudio® derived data and identifies markers showing reliable genotype calls (bi-allelic segregation pattern). In addition, ASSIsT identifies and re-edits SNP calls of markers showing additional alleles (null alleles or additional SNPs in the probe annealing site). Chapter 3 aimed to dissect the genetic control of fruit firmness in apple during storage through PBA and employing 24 bi-parental families (1216 individuals) connected by a common pedigree structure. Ten QTLs were identified encompassing eight linkage groups, which unravelled a QTL dynamics over storage shedding light on the specific genetic control at each time-point. Chapter 4: aimed to comprehensively decipher the genetic control of fruit texture. Two complementing QTL mapping approaches were employed together with a novel and high sophisticated phenotyping device for fruit texture. The PBA was carried out on six full-sib pedigreed families (416 individuals), while the GWAS was performed on a collection of 233 apple accessions. The texture analyser employed (TAXT-AED texture analyser) allowed the measurement of both the mechanical properties (firmness) and the acoustic properties (crispness) of fruit texture. The QTL results indicated chromosome 10 being associated in changes of the mechanical properties of fruit texture, while chromosomes 2 and 14 were more associated to the acoustic response. In Chapter 5 the interplay between texture and volatile organic compounds (VOCs) was investigated in 162 apple accessions. The array of volatile compounds phenotyped was implemented into a GWAS identifying seven chromosomes harbouring important candidate genes for aroma, such as MdAAT1 and MdIGS. Next, volatilome and fruit texture data were integrated revealing a negative correlation between these two features
Costa, Fabrizio
Malus domestica
Pedigree Based Analysis
Genome wide association studies
Crispness
Volatile organic compounds
Plant breeding
Marker assisted breeding
Settore AGR/07 - GENETICA AGRARIA
21-set-2017
2016/2017
GMPF
Di Guardo, Mario (2017-09-21). Investigating the fruit texture genetic control in apple and its interplay with the production of volatile compounds. (Doctoral Thesis). Wageningen University, a.y. 2016/2017, GMPF. handle: http://hdl.handle.net/10449/48131
File in questo prodotto:
File Dimensione Formato  
thesis_MDG.pdf

accesso aperto

Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 4.86 MB
Formato Adobe PDF
4.86 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10449/48131
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact