Novel NGS-Based genomic platform reveals unexploited variability of Prunus persica (L. Batch) for future genetic breeding of peach

Peach is a diploid (2n=2x=16) specie with a small genome (265Mb), compared to other economically important crops. Due to its self-compatibility and long generation periods, modern peach cultivars have a narrow genetic variability. Therefore novel germoplasms are continuously pursued for breeding purposes. The advance of Next Generation Sequencing (NGS) technologies allows high-throughput genotyping at a reasonable cost but in the case of peach, were scarcely developed. At present, a standard Genotyping By Sequencing (GBS), based in a single restriction with ApekI to reduce genome complexity, was applied in peach. We compared 6 double restrictions with the restriction generated with ApeKI to find that the combination of PstI/MboI retained the highest number of loci in concordance with in silico analysis. With this novel GBS platform, a diverse peach germoplasm collection composed of 190 genotypes was analysed. The libraries were sequenced (HiSeq 1500 Illumina) to obtain a total of 207052814 of paired-end (2x250bp) reads. The mapping against peach genome allowed the identification of 107760 SNP. Phylogenetic and population structure analyses sugested that a group of Bolivian traditional peaches and feral germoplasms of Argentine shares a common origin that probably goes back from the colony period where this specie was introduced in the American continent by the Spanish. Principal Component Analysis (PCA) from genomic data showed that these ancestral germoplasms differ largely from modern peach cultivars. Our results in combination with some outstanding trait of these genotypes (high yield/vigour, pathogen resistance, thermal requirements, etc.) encourage their use in peach breeding programs.

Saved in:
Bibliographic Details
Main Authors: Aballay, Maximiliano Martín, Valentini, Gabriel Hugo, Aguirre, Natalia Cristina, Filippi, Carla Valeria, Daorden, Maria Elena, Sanchez, Gerardo
Format: info:ar-repo/semantics/póster biblioteca
Language:eng
Published: 2019
Subjects:Biotecnología Vegetal, Prunus Persica, Durazno, Fitomejoramiento, Genómica, Mapas Genéticos, Plant Biotechnology, Peaches, Plant Breeding, Genomics, Genetics Maps, Tecnología NGS, Next Generation Sequencing Technologies,
Online Access:http://hdl.handle.net/20.500.12123/4682
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:localhost:20.500.12123-4682
record_format koha
spelling oai:localhost:20.500.12123-46822024-02-19T12:08:13Z Novel NGS-Based genomic platform reveals unexploited variability of Prunus persica (L. Batch) for future genetic breeding of peach Aballay, Maximiliano Martín Valentini, Gabriel Hugo Aguirre, Natalia Cristina Filippi, Carla Valeria Daorden, Maria Elena Sanchez, Gerardo Biotecnología Vegetal Prunus Persica Durazno Fitomejoramiento Genómica Mapas Genéticos Plant Biotechnology Peaches Plant Breeding Genomics Genetics Maps Tecnología NGS Next Generation Sequencing Technologies Peach is a diploid (2n=2x=16) specie with a small genome (265Mb), compared to other economically important crops. Due to its self-compatibility and long generation periods, modern peach cultivars have a narrow genetic variability. Therefore novel germoplasms are continuously pursued for breeding purposes. The advance of Next Generation Sequencing (NGS) technologies allows high-throughput genotyping at a reasonable cost but in the case of peach, were scarcely developed. At present, a standard Genotyping By Sequencing (GBS), based in a single restriction with ApekI to reduce genome complexity, was applied in peach. We compared 6 double restrictions with the restriction generated with ApeKI to find that the combination of PstI/MboI retained the highest number of loci in concordance with in silico analysis. With this novel GBS platform, a diverse peach germoplasm collection composed of 190 genotypes was analysed. The libraries were sequenced (HiSeq 1500 Illumina) to obtain a total of 207052814 of paired-end (2x250bp) reads. The mapping against peach genome allowed the identification of 107760 SNP. Phylogenetic and population structure analyses sugested that a group of Bolivian traditional peaches and feral germoplasms of Argentine shares a common origin that probably goes back from the colony period where this specie was introduced in the American continent by the Spanish. Principal Component Analysis (PCA) from genomic data showed that these ancestral germoplasms differ largely from modern peach cultivars. Our results in combination with some outstanding trait of these genotypes (high yield/vigour, pathogen resistance, thermal requirements, etc.) encourage their use in peach breeding programs. EEA San Pedro Fil: Aballay, Maximiliano Martín. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina Fil: Valentini, Gabriel Hugo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina Fil: Aguirre, Natalia Cristina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Filippi, Carla Valeria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Daorden, María Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina Fil: Sánchez, Gerardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina 2019-03-20T13:45:23Z 2019-03-20T13:45:23Z 2019 info:ar-repo/semantics/póster info:eu-repo/semantics/other info:eu-repo/semantics/acceptedVersion http://hdl.handle.net/20.500.12123/4682 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf International Plant and Animal Genome XXVII Conference. San Diego, USA, 12-16 January 2019
institution INTA AR
collection DSpace
country Argentina
countrycode AR
component Bibliográfico
access En linea
databasecode dig-inta-ar
tag biblioteca
region America del Sur
libraryname Biblioteca Central del INTA Argentina
language eng
topic Biotecnología Vegetal
Prunus Persica
Durazno
Fitomejoramiento
Genómica
Mapas Genéticos
Plant Biotechnology
Peaches
Plant Breeding
Genomics
Genetics Maps
Tecnología NGS
Next Generation Sequencing Technologies
Biotecnología Vegetal
Prunus Persica
Durazno
Fitomejoramiento
Genómica
Mapas Genéticos
Plant Biotechnology
Peaches
Plant Breeding
Genomics
Genetics Maps
Tecnología NGS
Next Generation Sequencing Technologies
spellingShingle Biotecnología Vegetal
Prunus Persica
Durazno
Fitomejoramiento
Genómica
Mapas Genéticos
Plant Biotechnology
Peaches
Plant Breeding
Genomics
Genetics Maps
Tecnología NGS
Next Generation Sequencing Technologies
Biotecnología Vegetal
Prunus Persica
Durazno
Fitomejoramiento
Genómica
Mapas Genéticos
Plant Biotechnology
Peaches
Plant Breeding
Genomics
Genetics Maps
Tecnología NGS
Next Generation Sequencing Technologies
Aballay, Maximiliano Martín
Valentini, Gabriel Hugo
Aguirre, Natalia Cristina
Filippi, Carla Valeria
Daorden, Maria Elena
Sanchez, Gerardo
Novel NGS-Based genomic platform reveals unexploited variability of Prunus persica (L. Batch) for future genetic breeding of peach
description Peach is a diploid (2n=2x=16) specie with a small genome (265Mb), compared to other economically important crops. Due to its self-compatibility and long generation periods, modern peach cultivars have a narrow genetic variability. Therefore novel germoplasms are continuously pursued for breeding purposes. The advance of Next Generation Sequencing (NGS) technologies allows high-throughput genotyping at a reasonable cost but in the case of peach, were scarcely developed. At present, a standard Genotyping By Sequencing (GBS), based in a single restriction with ApekI to reduce genome complexity, was applied in peach. We compared 6 double restrictions with the restriction generated with ApeKI to find that the combination of PstI/MboI retained the highest number of loci in concordance with in silico analysis. With this novel GBS platform, a diverse peach germoplasm collection composed of 190 genotypes was analysed. The libraries were sequenced (HiSeq 1500 Illumina) to obtain a total of 207052814 of paired-end (2x250bp) reads. The mapping against peach genome allowed the identification of 107760 SNP. Phylogenetic and population structure analyses sugested that a group of Bolivian traditional peaches and feral germoplasms of Argentine shares a common origin that probably goes back from the colony period where this specie was introduced in the American continent by the Spanish. Principal Component Analysis (PCA) from genomic data showed that these ancestral germoplasms differ largely from modern peach cultivars. Our results in combination with some outstanding trait of these genotypes (high yield/vigour, pathogen resistance, thermal requirements, etc.) encourage their use in peach breeding programs.
format info:ar-repo/semantics/póster
topic_facet Biotecnología Vegetal
Prunus Persica
Durazno
Fitomejoramiento
Genómica
Mapas Genéticos
Plant Biotechnology
Peaches
Plant Breeding
Genomics
Genetics Maps
Tecnología NGS
Next Generation Sequencing Technologies
author Aballay, Maximiliano Martín
Valentini, Gabriel Hugo
Aguirre, Natalia Cristina
Filippi, Carla Valeria
Daorden, Maria Elena
Sanchez, Gerardo
author_facet Aballay, Maximiliano Martín
Valentini, Gabriel Hugo
Aguirre, Natalia Cristina
Filippi, Carla Valeria
Daorden, Maria Elena
Sanchez, Gerardo
author_sort Aballay, Maximiliano Martín
title Novel NGS-Based genomic platform reveals unexploited variability of Prunus persica (L. Batch) for future genetic breeding of peach
title_short Novel NGS-Based genomic platform reveals unexploited variability of Prunus persica (L. Batch) for future genetic breeding of peach
title_full Novel NGS-Based genomic platform reveals unexploited variability of Prunus persica (L. Batch) for future genetic breeding of peach
title_fullStr Novel NGS-Based genomic platform reveals unexploited variability of Prunus persica (L. Batch) for future genetic breeding of peach
title_full_unstemmed Novel NGS-Based genomic platform reveals unexploited variability of Prunus persica (L. Batch) for future genetic breeding of peach
title_sort novel ngs-based genomic platform reveals unexploited variability of prunus persica (l. batch) for future genetic breeding of peach
publishDate 2019
url http://hdl.handle.net/20.500.12123/4682
work_keys_str_mv AT aballaymaximilianomartin novelngsbasedgenomicplatformrevealsunexploitedvariabilityofprunuspersicalbatchforfuturegeneticbreedingofpeach
AT valentinigabrielhugo novelngsbasedgenomicplatformrevealsunexploitedvariabilityofprunuspersicalbatchforfuturegeneticbreedingofpeach
AT aguirrenataliacristina novelngsbasedgenomicplatformrevealsunexploitedvariabilityofprunuspersicalbatchforfuturegeneticbreedingofpeach
AT filippicarlavaleria novelngsbasedgenomicplatformrevealsunexploitedvariabilityofprunuspersicalbatchforfuturegeneticbreedingofpeach
AT daordenmariaelena novelngsbasedgenomicplatformrevealsunexploitedvariabilityofprunuspersicalbatchforfuturegeneticbreedingofpeach
AT sanchezgerardo novelngsbasedgenomicplatformrevealsunexploitedvariabilityofprunuspersicalbatchforfuturegeneticbreedingofpeach
_version_ 1798158066531696640