Analysis of genetic diversity of Ficus carica L. (Moraceae) collection using simple sequence repeat (SSR) markers

Modern technologies and accurate information on genetic diversity and structure are contributing to improve the plant breeding, in particular for all the minor species with a lack of data. Genetic diversity of 139 different Ficus carica L. genotypes collected from Italy and Croatia, and divided int...

Full description

Bibliographic Details
Main Authors: Ilaria Marcotuli, Andrea Mazzeo, Domenica Nigro, Stefania Lucia Giove, Angelica Giancaspro, Pasqualina Colasuonno, Željko Prgomet, Iva Prgomet, Annalisa Tarantino, Giuseppe Ferrara, Agata Gadaleta
Format: Article
Language:English
Published: University of Life Sciences in Lublin - Publishing House 2019-08-01
Series:Acta Scientiarum Polonorum: Hortorum Cultus
Subjects:
Online Access:https://czasopisma.up.lublin.pl/index.php/asphc/article/view/1091
_version_ 1797394204104589312
author Ilaria Marcotuli
Andrea Mazzeo
Domenica Nigro
Stefania Lucia Giove
Angelica Giancaspro
Pasqualina Colasuonno
Željko Prgomet
Iva Prgomet
Annalisa Tarantino
Giuseppe Ferrara
Agata Gadaleta
author_facet Ilaria Marcotuli
Andrea Mazzeo
Domenica Nigro
Stefania Lucia Giove
Angelica Giancaspro
Pasqualina Colasuonno
Željko Prgomet
Iva Prgomet
Annalisa Tarantino
Giuseppe Ferrara
Agata Gadaleta
author_sort Ilaria Marcotuli
collection DOAJ
description Modern technologies and accurate information on genetic diversity and structure are contributing to improve the plant breeding, in particular for all the minor species with a lack of data. Genetic diversity of 139 different Ficus carica L. genotypes collected from Italy and Croatia, and divided into two subgroups: uniferous (only main crop) and biferous (breba and main crop), was investigated using 49 microsatellite markers. A total of 70 alleles were generated, of which 64 (91.4%) showed a polymorphic pattern indicating high level of genetic diversity within the studied collection. The mean heterozygosity over the 64 single locus microsatellites was 0.33 and the expected and observed averaged variance were 16.50 and 184.08, respectively. The 139 fig genotypes formed two clusters in the PCoA analysis, suggesting a division between Italian and Croatian genotypes. Moreover, the fig accessions could be divided into two main clusters based on the STRUCTURE analysis according to the biological type, uniferous or biferous, with partly overlapping varieties. In conclusion, our results demonstrated that molecular markers were able to discriminate among genotypes and useful for the authentication of fig tree varieties (homonymies and synonymies).
first_indexed 2024-03-09T00:16:06Z
format Article
id doaj.art-6401163894ac41cabdb964dd2547db25
institution Directory Open Access Journal
issn 1644-0692
2545-1405
language English
last_indexed 2024-03-09T00:16:06Z
publishDate 2019-08-01
publisher University of Life Sciences in Lublin - Publishing House
record_format Article
series Acta Scientiarum Polonorum: Hortorum Cultus
spelling doaj.art-6401163894ac41cabdb964dd2547db252023-12-12T07:54:13ZengUniversity of Life Sciences in Lublin - Publishing HouseActa Scientiarum Polonorum: Hortorum Cultus1644-06922545-14052019-08-0118410.24326/asphc.2019.4.9Analysis of genetic diversity of Ficus carica L. (Moraceae) collection using simple sequence repeat (SSR) markersIlaria Marcotuli0Andrea Mazzeo1Domenica Nigro2Stefania Lucia Giove3Angelica Giancaspro4Pasqualina Colasuonno5Željko Prgomet6Iva Prgomet7Annalisa Tarantino8Giuseppe Ferrara9Agata Gadaleta10Department of Environmental and Territorial Sciences, University of Bari “Aldo Moro”, via G. Amendola 165/A, 70126 – Bari, ItalyDepartment of Soil, Plant and Food Sciences, University of Bari “Aldo Moro”, via G. Amendola 165/A, 70126 – Bari, ItalyDepartment of Soil, Plant and Food Sciences, University of Bari “Aldo Moro”, via G. Amendola 165/A, 70126 – Bari, ItalyDepartment of Environmental and Territorial Sciences, University of Bari “Aldo Moro”, via G. Amendola 165/A, 70126 – Bari, ItalyDepartment of Environmental and Territorial Sciences, University of Bari “Aldo Moro”, via G. Amendola 165/A, 70126 – Bari, ItalyDepartment of Environmental and Territorial Sciences, University of Bari “Aldo Moro”, via G. Amendola 165/A, 70126 – Bari, ItalyCollegium Fluminense Polytechnic of Rijeka, Trpimirova 2/V, 51000 – Rijeka, CroatiaSkink, Valalta bb, 52210 – Rovinj, CroatiaDepartment of Science Agriculture, Food and Environment, University of Foggia, via Napoli 25, 71122 – Foggia, ItalyDepartment of Soil, Plant and Food Sciences, University of Bari “Aldo Moro”, via G. Amendola 165/A, 70126 – Bari, ItalyDepartment of Environmental and Territorial Sciences, University of Bari “Aldo Moro”, via G. Amendola 165/A, 70126 – Bari, Italy Modern technologies and accurate information on genetic diversity and structure are contributing to improve the plant breeding, in particular for all the minor species with a lack of data. Genetic diversity of 139 different Ficus carica L. genotypes collected from Italy and Croatia, and divided into two subgroups: uniferous (only main crop) and biferous (breba and main crop), was investigated using 49 microsatellite markers. A total of 70 alleles were generated, of which 64 (91.4%) showed a polymorphic pattern indicating high level of genetic diversity within the studied collection. The mean heterozygosity over the 64 single locus microsatellites was 0.33 and the expected and observed averaged variance were 16.50 and 184.08, respectively. The 139 fig genotypes formed two clusters in the PCoA analysis, suggesting a division between Italian and Croatian genotypes. Moreover, the fig accessions could be divided into two main clusters based on the STRUCTURE analysis according to the biological type, uniferous or biferous, with partly overlapping varieties. In conclusion, our results demonstrated that molecular markers were able to discriminate among genotypes and useful for the authentication of fig tree varieties (homonymies and synonymies). https://czasopisma.up.lublin.pl/index.php/asphc/article/view/1091figbrebaSSRsgenetic diversitypopulation structure
spellingShingle Ilaria Marcotuli
Andrea Mazzeo
Domenica Nigro
Stefania Lucia Giove
Angelica Giancaspro
Pasqualina Colasuonno
Željko Prgomet
Iva Prgomet
Annalisa Tarantino
Giuseppe Ferrara
Agata Gadaleta
Analysis of genetic diversity of Ficus carica L. (Moraceae) collection using simple sequence repeat (SSR) markers
Acta Scientiarum Polonorum: Hortorum Cultus
fig
breba
SSRs
genetic diversity
population structure
title Analysis of genetic diversity of Ficus carica L. (Moraceae) collection using simple sequence repeat (SSR) markers
title_full Analysis of genetic diversity of Ficus carica L. (Moraceae) collection using simple sequence repeat (SSR) markers
title_fullStr Analysis of genetic diversity of Ficus carica L. (Moraceae) collection using simple sequence repeat (SSR) markers
title_full_unstemmed Analysis of genetic diversity of Ficus carica L. (Moraceae) collection using simple sequence repeat (SSR) markers
title_short Analysis of genetic diversity of Ficus carica L. (Moraceae) collection using simple sequence repeat (SSR) markers
title_sort analysis of genetic diversity of ficus carica l moraceae collection using simple sequence repeat ssr markers
topic fig
breba
SSRs
genetic diversity
population structure
url https://czasopisma.up.lublin.pl/index.php/asphc/article/view/1091
work_keys_str_mv AT ilariamarcotuli analysisofgeneticdiversityofficuscaricalmoraceaecollectionusingsimplesequencerepeatssrmarkers
AT andreamazzeo analysisofgeneticdiversityofficuscaricalmoraceaecollectionusingsimplesequencerepeatssrmarkers
AT domenicanigro analysisofgeneticdiversityofficuscaricalmoraceaecollectionusingsimplesequencerepeatssrmarkers
AT stefanialuciagiove analysisofgeneticdiversityofficuscaricalmoraceaecollectionusingsimplesequencerepeatssrmarkers
AT angelicagiancaspro analysisofgeneticdiversityofficuscaricalmoraceaecollectionusingsimplesequencerepeatssrmarkers
AT pasqualinacolasuonno analysisofgeneticdiversityofficuscaricalmoraceaecollectionusingsimplesequencerepeatssrmarkers
AT zeljkoprgomet analysisofgeneticdiversityofficuscaricalmoraceaecollectionusingsimplesequencerepeatssrmarkers
AT ivaprgomet analysisofgeneticdiversityofficuscaricalmoraceaecollectionusingsimplesequencerepeatssrmarkers
AT annalisatarantino analysisofgeneticdiversityofficuscaricalmoraceaecollectionusingsimplesequencerepeatssrmarkers
AT giuseppeferrara analysisofgeneticdiversityofficuscaricalmoraceaecollectionusingsimplesequencerepeatssrmarkers
AT agatagadaleta analysisofgeneticdiversityofficuscaricalmoraceaecollectionusingsimplesequencerepeatssrmarkers