Genetic structure and allelic richness of the wheat core collection for association mapping of yield
2019
Аутори
Trkulja, DraganaKondić-Špika, Ankica
Brbaklić, Ljiljana
Kobiljski, Borislav
Mikić, Sanja
Mirosavljević, Milan
Glogovac, Svetlana
Šurlan-Momirović, Gordana
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Knowledge about genetic structure and allelic diversity of bread wheat (Triticum aestivum L.) collections is a key to developing modem wheat cultivars, able to cope with various abiotic and biotic stress factors, through purposeful selection of parents. Further, information about population structure of a material is the first prerequisite of association mapping, which prevents declaring of spurious marker-trait associations. The aim of this study was to assess genetic diversity and presence of population structure within the panel of wheat accessions chosen for association mapping of yield and yield related traits in wheat. The material consisting of 282 wheat accessions, highly variable for 10 agronomically important traits, was evaluated using microsatellite markers that were distributed all over three wheat genomes. The 397 alleles were detected at 31 SSR markers, with an average number of 12.4. The highest diversity was detected at microsatellite loci from B genome, while the lowe...st number of alleles was observed for D genome. Structure analysis indicated the existence of three subpopulations, where genotypes were grouped according to their origin as well as pedigree data. In each subpopulation, private alleles were detected, indicating informativeness of analysed microsatellite loci for the elucidation of population structure. Statistically significant differences among groups were observed for 8 out of 10 wheat agronomically important traits, while PCA did not show a clear separation of genotypes. The analysed wheat accessions demonstrated a sufficiently high level of genetic diversity, considering both molecular and phenotypic data, which makes them suitable for the association study of breeding traits in wheat.
Кључне речи:
agronomically important traits / diversity / microsatellite loci / Triticum aestivumИзвор:
Zemdirbyste-Agriculture, 2019, 106, 3, 257-264Издавач:
- Lithuanian Research Centre Agriculture & Forestry, Kedainiu R
Финансирање / пројекти:
- Савремено оплемењивање стрних жита за садашње и будуће потребе (RS-MESTD-Technological Development (TD or TR)-31066)
DOI: 10.13080/z-a.2019.106.033
ISSN: 1392-3196
WoS: 000480418800009
Scopus: 2-s2.0-85071436322
Колекције
Институција/група
FiVeRTY - JOUR AU - Trkulja, Dragana AU - Kondić-Špika, Ankica AU - Brbaklić, Ljiljana AU - Kobiljski, Borislav AU - Mikić, Sanja AU - Mirosavljević, Milan AU - Glogovac, Svetlana AU - Šurlan-Momirović, Gordana PY - 2019 UR - http://fiver.ifvcns.rs/handle/123456789/1849 AB - Knowledge about genetic structure and allelic diversity of bread wheat (Triticum aestivum L.) collections is a key to developing modem wheat cultivars, able to cope with various abiotic and biotic stress factors, through purposeful selection of parents. Further, information about population structure of a material is the first prerequisite of association mapping, which prevents declaring of spurious marker-trait associations. The aim of this study was to assess genetic diversity and presence of population structure within the panel of wheat accessions chosen for association mapping of yield and yield related traits in wheat. The material consisting of 282 wheat accessions, highly variable for 10 agronomically important traits, was evaluated using microsatellite markers that were distributed all over three wheat genomes. The 397 alleles were detected at 31 SSR markers, with an average number of 12.4. The highest diversity was detected at microsatellite loci from B genome, while the lowest number of alleles was observed for D genome. Structure analysis indicated the existence of three subpopulations, where genotypes were grouped according to their origin as well as pedigree data. In each subpopulation, private alleles were detected, indicating informativeness of analysed microsatellite loci for the elucidation of population structure. Statistically significant differences among groups were observed for 8 out of 10 wheat agronomically important traits, while PCA did not show a clear separation of genotypes. The analysed wheat accessions demonstrated a sufficiently high level of genetic diversity, considering both molecular and phenotypic data, which makes them suitable for the association study of breeding traits in wheat. PB - Lithuanian Research Centre Agriculture & Forestry, Kedainiu R T2 - Zemdirbyste-Agriculture T1 - Genetic structure and allelic richness of the wheat core collection for association mapping of yield EP - 264 IS - 3 SP - 257 VL - 106 DO - 10.13080/z-a.2019.106.033 ER -
@article{ author = "Trkulja, Dragana and Kondić-Špika, Ankica and Brbaklić, Ljiljana and Kobiljski, Borislav and Mikić, Sanja and Mirosavljević, Milan and Glogovac, Svetlana and Šurlan-Momirović, Gordana", year = "2019", abstract = "Knowledge about genetic structure and allelic diversity of bread wheat (Triticum aestivum L.) collections is a key to developing modem wheat cultivars, able to cope with various abiotic and biotic stress factors, through purposeful selection of parents. Further, information about population structure of a material is the first prerequisite of association mapping, which prevents declaring of spurious marker-trait associations. The aim of this study was to assess genetic diversity and presence of population structure within the panel of wheat accessions chosen for association mapping of yield and yield related traits in wheat. The material consisting of 282 wheat accessions, highly variable for 10 agronomically important traits, was evaluated using microsatellite markers that were distributed all over three wheat genomes. The 397 alleles were detected at 31 SSR markers, with an average number of 12.4. The highest diversity was detected at microsatellite loci from B genome, while the lowest number of alleles was observed for D genome. Structure analysis indicated the existence of three subpopulations, where genotypes were grouped according to their origin as well as pedigree data. In each subpopulation, private alleles were detected, indicating informativeness of analysed microsatellite loci for the elucidation of population structure. Statistically significant differences among groups were observed for 8 out of 10 wheat agronomically important traits, while PCA did not show a clear separation of genotypes. The analysed wheat accessions demonstrated a sufficiently high level of genetic diversity, considering both molecular and phenotypic data, which makes them suitable for the association study of breeding traits in wheat.", publisher = "Lithuanian Research Centre Agriculture & Forestry, Kedainiu R", journal = "Zemdirbyste-Agriculture", title = "Genetic structure and allelic richness of the wheat core collection for association mapping of yield", pages = "264-257", number = "3", volume = "106", doi = "10.13080/z-a.2019.106.033" }
Trkulja, D., Kondić-Špika, A., Brbaklić, L., Kobiljski, B., Mikić, S., Mirosavljević, M., Glogovac, S.,& Šurlan-Momirović, G.. (2019). Genetic structure and allelic richness of the wheat core collection for association mapping of yield. in Zemdirbyste-Agriculture Lithuanian Research Centre Agriculture & Forestry, Kedainiu R., 106(3), 257-264. https://doi.org/10.13080/z-a.2019.106.033
Trkulja D, Kondić-Špika A, Brbaklić L, Kobiljski B, Mikić S, Mirosavljević M, Glogovac S, Šurlan-Momirović G. Genetic structure and allelic richness of the wheat core collection for association mapping of yield. in Zemdirbyste-Agriculture. 2019;106(3):257-264. doi:10.13080/z-a.2019.106.033 .
Trkulja, Dragana, Kondić-Špika, Ankica, Brbaklić, Ljiljana, Kobiljski, Borislav, Mikić, Sanja, Mirosavljević, Milan, Glogovac, Svetlana, Šurlan-Momirović, Gordana, "Genetic structure and allelic richness of the wheat core collection for association mapping of yield" in Zemdirbyste-Agriculture, 106, no. 3 (2019):257-264, https://doi.org/10.13080/z-a.2019.106.033 . .