SNP and SSR marker analysis and mapping of a maize population

Šimić, Domagoj; Ledenčan, Tatjana; Jambrović, Antun; Zdunić, Zvonimir; Brkić, Josip; Brkić, Andrija; Mladenović Drinić, Snežana; Brkić, Ivan

doi:10.2298/GENSR0903237S

Pregled bibliografske jedinice broj: 439740

SNP and SSR marker analysis and mapping of a maize population

Šimić, Domagoj; Ledenčan, Tatjana; Jambrović, Antun; Zdunić, Zvonimir; Brkić, Josip; Brkić, Andrija; Mladenović Drinić, Snežana; Brkić, Ivan

SNP and SSR marker analysis and mapping of a maize population // Genetika, 41 (2009), 3; 237-246 doi:10.2298/GENSR0903237S (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 439740 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
SNP and SSR marker analysis and mapping of a maize population

Autori
Šimić, Domagoj ; Ledenčan, Tatjana ; Jambrović, Antun ; Zdunić, Zvonimir ; Brkić, Josip ; Brkić, Andrija ; Mladenović Drinić, Snežana ; Brkić, Ivan

Izvornik
Genetika (0534-0012) 41 (2009), 3; 237-246

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
maize population; mapping; SNP markers; SSR makers

Sažetak
Although highly polymorphic SSRs are currently the marker of choice worldwide in maize breeding, single nucleotide polymorphisms (SNPs) as a newer marker system are recently used more extensively. The objective of this study is to investigate the utility of SSR and SNP markers for mapping of a maize population adapted to conditions of Southeast Europe. Total of 294 F2:3 lines derived from a biparental mapping population were genotyped using 121 polymorphic SNP and SSR markers. The SNP markers were analyzed using the SNPlex technology. 56 of the 142 tested SNPs (39%) were polymorphic between the parents of the mapping population and were successfully mapped. The remaining markers were either not functional (5 = 3.5%) or not polymorphic (81 = 57%). No mapped SNP marker showed more than 10% missing data. On average, the level of missing data for SNPs (1.5%) was considerably lower than that for SSRs (3.4%). For the mapping procedure, the SNP data were combined SSR data. A comparison of the mapping data with the publicly available mapping data on SSR markers and the proprietary mapping data indicates that the map is of good quality and that the map position of almost all markers agrees with their published map position. Thus, information obtained from both marker systems is utilizable for further QTL analysis.

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Poljoprivreda (agronomija)

POVEZANOST RADA

Projekti:
073-0730463-0198 - Identifikacija megaokolina u oplemenjivanju kukuruza (Zdunić, Zvonimir, MZOS ) ( CroRIS)
073-0730463-0201 - Korištenje genetske divergentnosti srodnih linija kukuruza u proizvodnji sjemena (Jambrović, Antun, MZOS ) ( CroRIS)
073-0730463-0253 - Stvaranje i poboljšavanje populacija, linija i hibrida kukuruza (Brkić, Ivan, MZOS ) ( CroRIS)
073-0730463-0256 - Oplemenjivanje kukuruza šećerca na kvalitet zrna i prinos (Ledenčan, Tatjana, MZOS ) ( CroRIS)
073-0730463-0203 - Genetska analiza koncentracije minerala u zrnu kukuruza (Šimić, Domagoj, MZOS ) ( CroRIS)