Cargando…

Identification of two QTLs associated with high fruit acidity in apple using pooled genome sequencing analysis

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, and their homozygous genotypes mama and ma3ma3 usually confer low titratable acidity (TA) (<3.0 mg...

Descripción completa

Detalles Bibliográficos
Autores principales: Ban, Seunghyun, Xu, Kenong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546611/
https://www.ncbi.nlm.nih.gov/pubmed/33082977
http://dx.doi.org/10.1038/s41438-020-00393-y
_version_ 1783592253747363840
author Ban, Seunghyun
Xu, Kenong
author_facet Ban, Seunghyun
Xu, Kenong
author_sort Ban, Seunghyun
collection PubMed
description 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, and their homozygous genotypes mama and ma3ma3 usually confer low titratable acidity (TA) (<3.0 mg ml(−1)) to apple fruit. However, apples of genotypes Ma- (MaMa and Mama) or Ma3- (Ma3Ma3 and Ma3ma3) frequently show an acidity range spanning both regular (TA 3.0–10.0 mg ml(−1)) and high (TA > 10 mg ml(−1)) acidity levels. To date, the genetic control for high-acidity apples remains essentially unknown. In order to map QTLs associated with high acidity, two genomic DNA pools, one for high acidity and the other for regular acidity, were created in an interspecific F(1) population Royal Gala (Malus domestica) × PI 613988 (M. sieversii) of 191 fruit-bearing progenies. By Illumina paired-end sequencing of the high and regular acidity pools, 1,261,640 single-nucleotide variants (SNVs) commonly present in both pools were detected. Using allele frequency directional difference and density (AFDDD) mapping approach, one region on chromosome 4 and another on chromosome 6 were identified to be putatively associated with high acidity, and were named Ma6 and Ma4, respectively. Trait association analysis of DNA markers independently developed from the Ma6 and Ma4 regions confirmed the mapping of Ma6 and Ma4. In the background of MaMa, 20.6% of acidity variation could be explained by Ma6, 28.5% by Ma4, and 50.7% by the combination of both. The effects of Ma6 and Ma4 in the background of Mama were also significant, but lower. These findings provide important genetic insight into high acidity in apple.
format Online
Article
Text
id pubmed-7546611
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-75466112020-10-19 Identification of two QTLs associated with high fruit acidity in apple using pooled genome sequencing analysis Ban, Seunghyun Xu, Kenong Hortic Res Article 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, and their homozygous genotypes mama and ma3ma3 usually confer low titratable acidity (TA) (<3.0 mg ml(−1)) to apple fruit. However, apples of genotypes Ma- (MaMa and Mama) or Ma3- (Ma3Ma3 and Ma3ma3) frequently show an acidity range spanning both regular (TA 3.0–10.0 mg ml(−1)) and high (TA > 10 mg ml(−1)) acidity levels. To date, the genetic control for high-acidity apples remains essentially unknown. In order to map QTLs associated with high acidity, two genomic DNA pools, one for high acidity and the other for regular acidity, were created in an interspecific F(1) population Royal Gala (Malus domestica) × PI 613988 (M. sieversii) of 191 fruit-bearing progenies. By Illumina paired-end sequencing of the high and regular acidity pools, 1,261,640 single-nucleotide variants (SNVs) commonly present in both pools were detected. Using allele frequency directional difference and density (AFDDD) mapping approach, one region on chromosome 4 and another on chromosome 6 were identified to be putatively associated with high acidity, and were named Ma6 and Ma4, respectively. Trait association analysis of DNA markers independently developed from the Ma6 and Ma4 regions confirmed the mapping of Ma6 and Ma4. In the background of MaMa, 20.6% of acidity variation could be explained by Ma6, 28.5% by Ma4, and 50.7% by the combination of both. The effects of Ma6 and Ma4 in the background of Mama were also significant, but lower. These findings provide important genetic insight into high acidity in apple. Nature Publishing Group UK 2020-10-08 /pmc/articles/PMC7546611/ /pubmed/33082977 http://dx.doi.org/10.1038/s41438-020-00393-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ban, Seunghyun
Xu, Kenong
Identification of two QTLs associated with high fruit acidity in apple using pooled genome sequencing analysis
title Identification of two QTLs associated with high fruit acidity in apple using pooled genome sequencing analysis
title_full Identification of two QTLs associated with high fruit acidity in apple using pooled genome sequencing analysis
title_fullStr Identification of two QTLs associated with high fruit acidity in apple using pooled genome sequencing analysis
title_full_unstemmed Identification of two QTLs associated with high fruit acidity in apple using pooled genome sequencing analysis
title_short Identification of two QTLs associated with high fruit acidity in apple using pooled genome sequencing analysis
title_sort identification of two qtls associated with high fruit acidity in apple using pooled genome sequencing analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546611/
https://www.ncbi.nlm.nih.gov/pubmed/33082977
http://dx.doi.org/10.1038/s41438-020-00393-y
work_keys_str_mv AT banseunghyun identificationoftwoqtlsassociatedwithhighfruitacidityinappleusingpooledgenomesequencinganalysis
AT xukenong identificationoftwoqtlsassociatedwithhighfruitacidityinappleusingpooledgenomesequencinganalysis