QTLs position of some important ornamental traits in recently developed OO lily population
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Lilium L. is a perennial ornamental bulbous species, belonging to Liliaceae family, which consists of about 100 species. One of the most important hybrids in Lilium L. is the Oriental hybrid lily. Different cross combinations have been done in the lily family such as AA (Asiatic × Asiatic), AL (Asiatic × Longiflorum), and OT (Oriental × Trumpet). The OO (Oriental × Oriental) combination is a new one. SSR and AFLP markers were used to overlap each other and the genetic linkage groups were created according to the haploid number of lily chromosomes (12 linkage groups). In this experiment, the final F1 population, which creates a genetic linkage group, was 100 individuals. For map construction, JOINMAP 4.0 software by treating segregation data of markers as a CP (out breeder full-sib family) model was used. After evaluation of ornamental traits, MapQTL 4.0 software was also used to find possible QTLs on these linkage maps. A total of 940 primers were tested and the best ones, which were 172 primer pairs (96 AFLP and 76 SSR markers), were used for map construction and the total of 616 loci (465 loci for AFLP marker and 151 loci for SSR marker) were scored. The entire mapped length was 2144.2 cM. 8 QTLs were obtained for flower number which is an important trait in lily. Each QTL locus explained the phenotypic variation of 2.4–89.5%. The highest amount of LOD (35.21) was found in LG-F1P2 for FN4 QTL. For leaf number, one-QTL was mapped with LOD of 7.08 between 2 markers on the LG-M10 of maternal maps. The QTL for petal length was placed on the LG-F1P2 of the F1 hybrid maps on the E-CGC/M-CGC-4 primer combination. The petal width QTLs also were mapped on the E-CGC/M-CGC-4. Qualitative locus named LN was mapped on the LG-M10 of the maternal maps. PW2 QTL was also localized on the LG-F4 of the paternal maps. In this experiment, 5 QTLs also were mapped for spot number in all F1 hybrids and paternal and maternal maps, and spot size. Moreover, one QTL with the length of 51 cM was measured on the LG-M8 of the maternal maps. Plant height QTL with the LOD of 12.54 was mapped on the primer combination of E-CGC/M-CGC-4 on the LG-F1P2 of the F1 hybrid maps.
KeywordsChromosomes Linkage map Loci QTL Spot
This study was supported by the National Natural Science Foundation of China (31801899, 31672196) and the Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences. This research was conducted at the Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture, China.
- Cui YU, Mao-Yong J, Bao-Zhu Zh, Jun M (2012) Genetic linkage map of Anthurium andraeanum based on SRAP molecular markers. Acta Hortic Sin 39:1151–1158Google Scholar
- De Vicente MC, Tanksley SD (1993) QTL analysis of transgressive segregation in an interspecific tomato cross. Genetics 134:585–596Google Scholar
- Jamann TM, Balint-Kurti PJ, Holland JB (2015) QTL mapping using high-throughput sequencing. In: Alonso JM, Stepanova AN (eds) Plant functional genomics. Methods in molecular biology, 2nd edn, vol 1284, pp 256–286Google Scholar
- Lacape JM, Gawrysiak G, Cao TV, Viot C, Llewellyn D, Liu S, Jacobs J, Becker D, Vianna Barroso PA, de Assuncãog JH, Palaï O, Georges S, Jean J, Giband M (2013) Mapping QTLs for traits related to phenology, morphology and yield components in an inter-specific Gossypium hirsutum × G. barbadense cotton RIL population. Field Crops Res 144:256–267CrossRefGoogle Scholar
- Shahin A, Arens P, Van Heusden AW, Van der Linden G, Van Kaauwen M, Khan N, Schouten HJ, Van De Weg WE, Van Visser RGF, Tuyl JM (2011) Genetic mapping in Lilium: mapping of major genes and quantitative trait loci for several ornamental traits and disease resistances. Plant Breed 130:372–382CrossRefGoogle Scholar
- Weller JI, Soller M, Brody T (1988) Linkage analysis of quantitative traits in an interspecific cross of tomato (Lycopersicon esculentum × Lycopersicon pimpinellifolium) by means of genetic markers. Genetics 118:329–339Google Scholar