Identification of two QTLs associated with high fruit acidity in apple using pooled genome sequencing analysis DOI Creative Commons
Seunghyun Ban, Kenong Xu

Horticulture Research, Journal Year: 2020, Volume and Issue: 7(1)

Published: Oct. 8, 2020

Abstract Acidity is a critical component determining apple fruit quality. Previous studies reported two major acidity quantitative trait loci (QTLs) on linkage groups (LGs) 16 ( Ma ) and 8 Ma3 ), respectively, their homozygous genotypes mama ma3ma3 usually confer low titratable (TA) (<3.0 mg ml −1 to fruit. However, apples of - MaMa Mama or Ma3Ma3 Ma3ma3 frequently show an range spanning both regular (TA 3.0–10.0 high > 10 levels. To date, the genetic control for high-acidity remains essentially unknown. In order map QTLs associated with acidity, genomic DNA pools, one other were created in interspecific F 1 population Royal Gala Malus domestica × PI 613988 M. sieversii 191 fruit-bearing progenies. By Illumina paired-end sequencing 1,261,640 single-nucleotide variants (SNVs) commonly present pools detected. Using allele frequency directional difference density (AFDDD) mapping approach, region chromosome 4 another 6 identified be putatively named Ma6 Ma4 , respectively. Trait association analysis markers independently developed from regions confirmed . background 20.6% variation could explained by 28.5% Ma4, 50.7% combination both. The effects also significant, but lower. These findings provide important insight into apple.

Language: Английский

Internal browning detection in red-flesh apple (<i>Malus</i> <i>domestica</i>) using image analysis and acoustic signal-based detection DOI Creative Commons
Pierre Bouillon, Étienne Belin, Anne‐Laure Fanciullino

et al.

Fruit Research, Journal Year: 2025, Volume and Issue: 5(1), P. 0 - 0

Published: Jan. 1, 2025

Language: Английский

Citations

0
Detection of QTL for apple fruit acidity and sweetness using sensorial evaluation in multiple pedigreed full-sib families DOI

Marijn Rymenants,

Eric van de Weg,

Annemarie Auwerkerken

et al.

Tree Genetics & Genomes, Journal Year: 2020, Volume and Issue: 16(5)

Published: Sept. 8, 2020

Language: Английский

Citations

24
Research Progress on Genetic Basis of Fruit Quality Traits in Apple (Malus × domestica) DOI Creative Commons
Wenjun Liu,

Zijing Chen,

Shenghui Jiang

et al.

Frontiers in Plant Science, Journal Year: 2022, Volume and Issue: 13

Published: July 14, 2022

Identifying the genetic variation characteristics of phenotypic traits is important for fruit tree breeding. During long-term evolution trees, gene recombination and natural mutation have resulted in a high degree heterozygosity. Apple ( Malus × domestica Borkh.) shows strong ecological adaptability widely cultivated, among most economically crops worldwide. However, level heterozygosity large genome apple, combination with its perennial life history long juvenile phase, complicate investigation basis quality traits. With continuing augmentation apple genomic resources available, recent years progress has been achieved research on This review focuses summarizing studies traits, including appearance, flavor, nutritional, ripening, storage qualities. In addition, we discuss mapping quantitative trait loci, screening molecular markers, mining major genes associated The overall aim this to provide valuable insights into mechanisms breeding apple.

Language: Английский

Citations

15
Genomewide selection for fruit quality traits in apple: breeding insights gained from prediction and postdiction DOI Creative Commons
Sarah A. Kostick, Rex Bernardo, James J. Luby

et al.

Horticulture Research, Journal Year: 2023, Volume and Issue: 10(6)

Published: May 2, 2023

Abstract Many fruit quality traits in apple (Malus domestica Borkh.) are controlled by multiple small-effect quantitative trait loci (QTLs). Genomewide selection (genomic selection) might be an effective breeding approach for highly woody perennial crops with long generation times like apple. The goal of this study was to determine if genomewide prediction is scion program. Representative germplasm (nindividuals = 955), high-quality single nucleotide polymorphism (SNP) data (nSNPs 977), and program at harvest were analyzed. Breeding parents `Honeycrisp' `Minneiska' represented. Moderate high predictive abilities observed most harvest. For example, when 25% random subsets the set used as training sets, mean ranged from 0.35 0.54 across traits. Trait, test family size within prediction, number SNPs per chromosome affected model ability. Inclusion large-effect QTLs fixed effects resulted higher some (e.g. percent red overcolor). Postdiction (i.e. retrospective) analyses demonstrated impact culling threshold on decisions. results demonstrate that a useful certain

Language: Английский

Citations

9
Identification of two QTLs associated with high fruit acidity in apple using pooled genome sequencing analysis DOI Creative Commons
Seunghyun Ban, Kenong Xu

Horticulture Research, Journal Year: 2020, Volume and Issue: 7(1)

Published: Oct. 8, 2020

Abstract Acidity is a critical component determining apple fruit quality. Previous studies reported two major acidity quantitative trait loci (QTLs) on linkage groups (LGs) 16 ( Ma ) and 8 Ma3 ), respectively, their homozygous genotypes mama ma3ma3 usually confer low titratable (TA) (<3.0 mg ml −1 to fruit. However, apples of - MaMa Mama or Ma3Ma3 Ma3ma3 frequently show an range spanning both regular (TA 3.0–10.0 high > 10 levels. To date, the genetic control for high-acidity remains essentially unknown. In order map QTLs associated with acidity, genomic DNA pools, one other were created in interspecific F 1 population Royal Gala Malus domestica × PI 613988 M. sieversii 191 fruit-bearing progenies. By Illumina paired-end sequencing 1,261,640 single-nucleotide variants (SNVs) commonly present pools detected. Using allele frequency directional difference density (AFDDD) mapping approach, region chromosome 4 another 6 identified be putatively named Ma6 Ma4 , respectively. Trait association analysis markers independently developed from regions confirmed . background 20.6% variation could explained by 28.5% Ma4, 50.7% combination both. The effects also significant, but lower. These findings provide important insight into apple.

Language: Английский

Citations

23