Sweet Cherry Diversity and Relationships in Modern and Local Varieties Based on SNP Markers

被引:10
|
作者
Palasciano, Marino [1 ]
Zuluaga, Diana L. [2 ]
Cerbino, Domenico [3 ]
Blanco, Emanuela [2 ]
Aufiero, Gaetano [4 ]
D'Agostino, Nunzio [4 ]
Sonnante, Gabriella [2 ]
机构
[1] Univ Bari Aldo Moro, Dept Soil Plant & Food Sci, Via G Amendola 165-A, I-70126 Bari, Italy
[2] CNR, Inst Biosci & Bioresources, Via Amendola 165-A, I-70126 Bari, Italy
[3] Agenzia Lucana Sviluppo & Innovaz Agr ALSIA Pollin, I-85048 Rotonda, Italy
[4] Univ Naples Federico II, Dept Agr Sci, Via Univ 100, I-80055 Portici, Italy
来源
PLANTS-BASEL | 2023年 / 12卷 / 01期
关键词
Prunus avium; genotyping-by-sequencing; SNP markers; genetic relationships; fixation index; identity-by-state matrix; landraces; PRUNUS-AVIUM; GENETIC DIVERSITY; TOOL SET; CULTIVARS; DNA; SEQUENCE;
D O I
10.3390/plants12010136
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
The sweet cherry is an important fruit species that is widespread globally. In addition to the well-known traditional and modern varieties, a myriad of landraces is present in Europe, as well as in southern Italy. This study aims to evaluate the population structure, genetic relationships, and cases of duplicate samples in a collection of 143 accessions using GBS-derived SNP markers. The genetic material under investigation includes modern commercial varieties, ancient European and American varieties, landraces, and individuals retrieved from small orchards. Some of the known varieties were genetically analyzed here for the first time. In addition, several genotypes were collected from the Basilicata region (southern Italy), an area largely unexplored for sweet cherry genetic resources. The relationships among genotypes were assessed using four different methods: allele frequency and ancestry estimation, principal component analysis, Neighbor-Joining tree, and identity-by-state estimation. The analyses returned quite congruent results and highlighted the presence of four main genetic groups, namely: (i) American varieties, (ii) the 'Germersdorfer-Ferrovia' cluster, (iii) the 'Burlat' group, and (iv) the group of Italian landraces. The main drivers of clustering were ancestry, geographical distribution, and some important traits such as self-compatibility. The sweet cherries from Basilicata, herewith examined for the first time, were mostly distributed within the group of Italian landraces, being particularly linked to the autochthonous varieties of the Campania region. However, some genotypes were outside this group, thus suggesting the introduction of genetic material from other Italian regions or from European countries. The considerable amount of American and European modern varieties analyzed are genetically very closely related, suggesting a reduced genetic basis. In addition, we highlighted the discriminating ability of SNP markers to distinguish between an original variety and its mutant. Overall, our results may be useful in defining conservation strategies for sweet cherry germplasm and developing future breeding programs to enlarge the genetic basis of commercial varieties.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Genetic Diversity and Population Structure of Myanmar Rice (Oryza sativa L.) Varieties Using DArTseq-Based SNP and SilicoDArT Markers
    Thant, Aye Aye
    Zaw, Hein
    Kalousova, Marie
    Singh, Rakesh Kumar
    Lojka, Bohdan
    PLANTS-BASEL, 2021, 10 (12):
  • [42] The genetic diversity of old and modern Siberian varieties of common spring wheat as determined by microsatellite markers
    Khlestkina, EK
    Röder, MS
    Efremova, TT
    Börner, A
    Shumny, VK
    PLANT BREEDING, 2004, 123 (02) : 122 - 127
  • [43] Genetic diversity, structure and fruit trait associations in Greek sweet cherry cultivars using microsatellite based (SSR/ISSR) and morpho-physiological markers
    Ioannis V. Ganopoulos
    Konstantinos Kazantzis
    Ioannis Chatzicharisis
    Irene Karayiannis
    Athanasios S. Tsaftaris
    Euphytica, 2011, 181 : 237 - 251
  • [44] Genetic diversity, structure and fruit trait associations in Greek sweet cherry cultivars using microsatellite based (SSR/ISSR) and morpho-physiological markers
    Ganopoulos, Ioannis V.
    Kazantzis, Konstantinos
    Chatzicharisis, Ioannis
    Karayiannis, Irene
    Tsaftaris, Athanasios S.
    EUPHYTICA, 2011, 181 (02) : 237 - 251
  • [45] Genetic diversity and population structure of modern wheat (Triticum aestivum L.) cultivars in Henan Province of China based on SNP markers
    Tang, Wenjing
    Dong, Zhongdong
    Gao, Lifeng
    Wang, Xicheng
    Li, Tianbao
    Sun, Congwei
    Chu, Zongli
    Cui, Dangqun
    BMC PLANT BIOLOGY, 2023, 23 (01)
  • [46] Genetic diversity and population structure of modern wheat (Triticum aestivum L.) cultivars in Henan Province of China based on SNP markers
    Wenjing Tang
    Zhongdong Dong
    Lifeng Gao
    Xicheng Wang
    Tianbao Li
    Congwei Sun
    Zongli Chu
    Dangqun Cui
    BMC Plant Biology, 23
  • [47] Identification and quality evaluation of Citrus reticulata cv. Chachiensis varieties based on SNP markers
    Cai, Xueyan
    Chen, Jiehu
    Chen, Junyi
    Li, Anqi
    Li, Qianyi
    Bai, Liying
    Zhang, Qunyu
    Wu, Hong
    Liu, Wei
    ARABIAN JOURNAL OF CHEMISTRY, 2023, 16 (08)
  • [48] Genetic relationships among Vietnamese local pigs investigated using genome-wide SNP markers
    Ishihara, S.
    Arakawa, A.
    Taniguchi, M.
    Luu, Q. M.
    Pham, D. L.
    Nguyen, B. V.
    Mikawa, S.
    Kikuchi, K.
    ANIMAL GENETICS, 2018, 49 (01) : 86 - 89
  • [49] Genetic diversity and relationships within sweet kernel apricot and related Armeniaca species based on sequence-related amplified polymorphism markers
    Ai, Peng-Fei
    Zhen, Zhi-Jun
    Jin, Zhan-Zhong
    BIOCHEMICAL SYSTEMATICS AND ECOLOGY, 2011, 39 (4-6) : 694 - 699
  • [50] Genetic diversity and relationships among loose-curd cauliflower and related varieties as revealed by microsatellite markers
    Zhao, Zhenqing
    Gu, Honghui
    Sheng, Xiaoguang
    Yu, Huifang
    Wang, Jiansheng
    Zhao, Junwei
    Cao, Jiashu
    SCIENTIA HORTICULTURAE, 2014, 166 : 105 - 110