Discovering peach QTLs with multiple progeny analysis

J.R.H. Mora, D. Micheletti, M.C.A.M. Bink, W.E. van de Weg, Daniele Bassi, Nelson Nazzicari, Andrea Caprera, Maria Teresa Dettori, Sabrina Micali, E. Dirlewanger, Patrick Lambert, Thierry Pascal, E. Banchi, M. Troggio, Laura Rossini, Ignazio Verde, Bénédicte Quilot-Turion, F. Laurens, Pere Arús, M.J. Aranzana

Research output: Chapter in Book/Report/Conference proceedingConference paper

3 Citations (Scopus)

Abstract

Although many peach QTLs responsible for the variability of traits have been identified and published so far, the number of molecular markers currently used in breeding is still limited. One of the reasons is the large QTL intervals produced, in part, by the limited progeny size. Here we report a QTL mapping approach that enlarges the progeny size by analyzing jointly multiple progenies. Our analysis included 1467 individuals from eighteen Prunus progenies, 13 from intra-specific crosses and five inter-specific between peach and closely related species. The progenies were grown in five locations, with no duplication between orchards. Data from phenology, tree, flower and fruit traits, fruit quality and yield measured in different locations and years were subjected to different standardization methods and integrated in a single data file. The populations were genotyped with the 9K SNP Illumina array, which increased considerably the marker density compared to previous studies. The QTL analysis was conducted with FlexQTLTM software. Here we describe and discuss the preliminary QTLs obtained for some of the traits analyzed (maturity date, percentage of red skin color and soluble solid content). The identification of donors of favorable alleles will represent an important tool for marker-assisted breeding. This study has been conducted in the frame of the Fruit Breedomics European project.
Original languageEnglish
Title of host publication14th EUCARPIA Symposium on Fruit Breeding and Genetics
PublisherInternational Society for Horticultural Science
Pages405-410
Volume1172
ISBN (Electronic)9789462611689
DOIs
Publication statusPublished - 2017

Publication series

NameActa Horticulturae
Volume1172
ISSN (Print)0567-7572

Fingerprint

peaches
quantitative trait loci
fruits
breeding
Prunus
total soluble solids
standardization
fruit yield
fruit quality
phenology
orchards
alleles
flowers
genetic markers
color
methodology

Keywords

  • FlexQTL
  • FruitBreedomics
  • Joint progeny analysis
  • Maturity date
  • Percentage of skin color

Cite this

Mora, J. R. H., Micheletti, D., Bink, M. C. A. M., van de Weg, W. E., Bassi, D., Nazzicari, N., ... Aranzana, M. J. (2017). Discovering peach QTLs with multiple progeny analysis. In 14th EUCARPIA Symposium on Fruit Breeding and Genetics (Vol. 1172, pp. 405-410). (Acta Horticulturae; Vol. 1172). International Society for Horticultural Science. https://doi.org/10.17660/ActaHortic.2017.1172.77
Mora, J.R.H. ; Micheletti, D. ; Bink, M.C.A.M. ; van de Weg, W.E. ; Bassi, Daniele ; Nazzicari, Nelson ; Caprera, Andrea ; Dettori, Maria Teresa ; Micali, Sabrina ; Dirlewanger, E. ; Lambert, Patrick ; Pascal, Thierry ; Banchi, E. ; Troggio, M. ; Rossini, Laura ; Verde, Ignazio ; Quilot-Turion, Bénédicte ; Laurens, F. ; Arús, Pere ; Aranzana, M.J. / Discovering peach QTLs with multiple progeny analysis. 14th EUCARPIA Symposium on Fruit Breeding and Genetics. Vol. 1172 International Society for Horticultural Science, 2017. pp. 405-410 (Acta Horticulturae).
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Mora, JRH, Micheletti, D, Bink, MCAM, van de Weg, WE, Bassi, D, Nazzicari, N, Caprera, A, Dettori, MT, Micali, S, Dirlewanger, E, Lambert, P, Pascal, T, Banchi, E, Troggio, M, Rossini, L, Verde, I, Quilot-Turion, B, Laurens, F, Arús, P & Aranzana, MJ 2017, Discovering peach QTLs with multiple progeny analysis. in 14th EUCARPIA Symposium on Fruit Breeding and Genetics. vol. 1172, Acta Horticulturae, vol. 1172, International Society for Horticultural Science, pp. 405-410. https://doi.org/10.17660/ActaHortic.2017.1172.77

Discovering peach QTLs with multiple progeny analysis. / Mora, J.R.H.; Micheletti, D.; Bink, M.C.A.M.; van de Weg, W.E.; Bassi, Daniele; Nazzicari, Nelson; Caprera, Andrea; Dettori, Maria Teresa; Micali, Sabrina; Dirlewanger, E.; Lambert, Patrick; Pascal, Thierry; Banchi, E.; Troggio, M.; Rossini, Laura; Verde, Ignazio; Quilot-Turion, Bénédicte; Laurens, F.; Arús, Pere; Aranzana, M.J.

14th EUCARPIA Symposium on Fruit Breeding and Genetics. Vol. 1172 International Society for Horticultural Science, 2017. p. 405-410 (Acta Horticulturae; Vol. 1172).

Research output: Chapter in Book/Report/Conference proceedingConference paper

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T1 - Discovering peach QTLs with multiple progeny analysis

AU - Mora, J.R.H.

AU - Micheletti, D.

AU - Bink, M.C.A.M.

AU - van de Weg, W.E.

AU - Bassi, Daniele

AU - Nazzicari, Nelson

AU - Caprera, Andrea

AU - Dettori, Maria Teresa

AU - Micali, Sabrina

AU - Dirlewanger, E.

AU - Lambert, Patrick

AU - Pascal, Thierry

AU - Banchi, E.

AU - Troggio, M.

AU - Rossini, Laura

AU - Verde, Ignazio

AU - Quilot-Turion, Bénédicte

AU - Laurens, F.

AU - Arús, Pere

AU - Aranzana, M.J.

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N2 - Although many peach QTLs responsible for the variability of traits have been identified and published so far, the number of molecular markers currently used in breeding is still limited. One of the reasons is the large QTL intervals produced, in part, by the limited progeny size. Here we report a QTL mapping approach that enlarges the progeny size by analyzing jointly multiple progenies. Our analysis included 1467 individuals from eighteen Prunus progenies, 13 from intra-specific crosses and five inter-specific between peach and closely related species. The progenies were grown in five locations, with no duplication between orchards. Data from phenology, tree, flower and fruit traits, fruit quality and yield measured in different locations and years were subjected to different standardization methods and integrated in a single data file. The populations were genotyped with the 9K SNP Illumina array, which increased considerably the marker density compared to previous studies. The QTL analysis was conducted with FlexQTLTM software. Here we describe and discuss the preliminary QTLs obtained for some of the traits analyzed (maturity date, percentage of red skin color and soluble solid content). The identification of donors of favorable alleles will represent an important tool for marker-assisted breeding. This study has been conducted in the frame of the Fruit Breedomics European project.

AB - Although many peach QTLs responsible for the variability of traits have been identified and published so far, the number of molecular markers currently used in breeding is still limited. One of the reasons is the large QTL intervals produced, in part, by the limited progeny size. Here we report a QTL mapping approach that enlarges the progeny size by analyzing jointly multiple progenies. Our analysis included 1467 individuals from eighteen Prunus progenies, 13 from intra-specific crosses and five inter-specific between peach and closely related species. The progenies were grown in five locations, with no duplication between orchards. Data from phenology, tree, flower and fruit traits, fruit quality and yield measured in different locations and years were subjected to different standardization methods and integrated in a single data file. The populations were genotyped with the 9K SNP Illumina array, which increased considerably the marker density compared to previous studies. The QTL analysis was conducted with FlexQTLTM software. Here we describe and discuss the preliminary QTLs obtained for some of the traits analyzed (maturity date, percentage of red skin color and soluble solid content). The identification of donors of favorable alleles will represent an important tool for marker-assisted breeding. This study has been conducted in the frame of the Fruit Breedomics European project.

KW - FlexQTL

KW - FruitBreedomics

KW - Joint progeny analysis

KW - Maturity date

KW - Percentage of skin color

U2 - 10.17660/ActaHortic.2017.1172.77

DO - 10.17660/ActaHortic.2017.1172.77

M3 - Conference paper

VL - 1172

T3 - Acta Horticulturae

SP - 405

EP - 410

BT - 14th EUCARPIA Symposium on Fruit Breeding and Genetics

PB - International Society for Horticultural Science

ER -

Mora JRH, Micheletti D, Bink MCAM, van de Weg WE, Bassi D, Nazzicari N et al. Discovering peach QTLs with multiple progeny analysis. In 14th EUCARPIA Symposium on Fruit Breeding and Genetics. Vol. 1172. International Society for Horticultural Science. 2017. p. 405-410. (Acta Horticulturae). https://doi.org/10.17660/ActaHortic.2017.1172.77