Genome-wide identification of quantitative trait loci for important plant and flower traits in petunia using a high-density linkage map and an interspecific recombinant inbred population derived from Petunia integrifolia and P. axillaris

Zhe Cao , Yufang Guo , Qian Yang , Yanhong He , Mohammed I. Fetouh , Ryan M. Warner , Zhanao Deng

Horticulture Research ›› 2019, Vol. 6 ›› Issue (1) : 27

PDF (2651KB)
Horticulture Research ›› 2019, Vol. 6 ›› Issue (1) :27 DOI: 10.1038/s41438-018-0091-5
Article
research-article
Genome-wide identification of quantitative trait loci for important plant and flower traits in petunia using a high-density linkage map and an interspecific recombinant inbred population derived from Petunia integrifolia and P. axillaris
Author information +
History +
PDF (2651KB)

Abstract

Petunia is a very important flower in the global floriculture industry and has played a critical role as a model in plant genetic studies. Owing to limited genetic variability in commercial germplasm, development of novel petunia phenotypes and new varieties has become increasingly difficult. To enrich petunia germplasm and facilitate genetic improvement, it is important to explore genetic variation in progenitor species that may contain highly valuable genes/alleles. In this study, an interspecific recombinant inbred population (168 recombinant inbreds) derived from Petunia integrifolia × P. axillaris were phenotyped for days to anthesis (DTA), flower count (Flower_C), flower diameter (Flower_D), flower length (Flower_L), plant height (Plant_H), plant spread (Plant_S), and plant size (Plant_Z) in 2014 and 2015. Transgressive segregation was observed for all traits in both years. The broad-sense heritability on a 2-year basis varied from 0.38 (Flower_C) to 0.82 (Flower_L). Ten QTL were consistently identified in both years and by two mapping strategies [multiple QTL mapping (MQM) in MapQTL and inclusive composite interval mapping (ICIM) in IciMapping]. Major QTL explained up to 30.2, 35.5, and 47.1% of the total phenotypic variation for Plant_S, Flower_L, and Flower_D, respectively. These findings should be of significant values for introgression of desirable genes from wild petunias into commercial varieties and future genetic improvement of this important flower.

Cite this article

Download citation ▾
Zhe Cao, Yufang Guo, Qian Yang, Yanhong He, Mohammed I. Fetouh, Ryan M. Warner, Zhanao Deng. Genome-wide identification of quantitative trait loci for important plant and flower traits in petunia using a high-density linkage map and an interspecific recombinant inbred population derived from Petunia integrifolia and P. axillaris. Horticulture Research, 2019, 6 (1) : 27 DOI:10.1038/s41438-018-0091-5

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

van Uffelen, R. L. M. & de Groot, N. S. P. Floriculture World Wide: Production, Trade and Consumption Patterns show Market Opportunities and Challenges. Wageningen University and Agricultural Economics Institute, The Hague, The Netherlands, Paper Series 29148 (2005).

[2]

Wang, L. Global floriculture market is projected to grow at a CAGR of 5.4% over the period 2016 to 2020. https://www.linkedin.com/pulse/global-bathroom-furniture-market-expected-reach-over-usd-ling-wang, accessed 16 Apr 2018 (2016).

[3]

Heywood, V. Conservation and sustainable use of wild species as sources of new ornamentals. Acta Hort. 598, 43-53 (2003).

[4]

Tanksley, S. D. & McCouch, S. R. Seed banks and molecular maps: unlocking genetic potential from the wild. Science 277, 1063-1066 (1997).

[5]

Zamir, D. Improving plant breeding with exotic genetic libraries. Nat. Rev. Genet. 2, 983-989 (2001).

[6]

Dempewolf, H. et al. Past and future use of wild relatives in crop breeding. Crop Sci. 57, 1070-1082 (2017).

[7]

Tanksley, S. D. & Nelson, J. C. Advanced backcross QTL analysis: a method for the simultaneous discovery and transfer of valuable QTLs from unadapted germplasm into elite breeding lines. Theor. Appl. Genet. 92, 191-203 (1996).

[8]

Warner, R. M. & Walworth, A. E. Quantitative inheritance of crop timing traits in interspecific hybrid Petunia populations and interactions with crop quality parameters. J. Hered. 101, 308-316 (2010).

[9]

Vallejo, V. A. et al. Identification of QTL for crop timing and quality traits in an interspecific Petunia population. Mol. Breed. 35, 2 (2015).

[10]

deVicente, M. C. & Tanksley, S. D. QTL analysis of transgressive segregation in an interspecific tomato cross. Genetics 134, 585-596 (1993).

[11]

Labate, J. A. & Robertson, L. D. Evidence of cryptic introgression in tomato (Solanum lycopersicum L.) based on wild tomato species alleles. BMC Plant Biol. 12, 133 (2012).

[12]

Davey, J. W. et al. Genome-wide genetic marker discovery and genotyping using next-generation sequencing. Nat. Rev. Genet. 12, 499-510 (2011).

[13]

He, J. et al. Genotyping-by-sequencing (GBS), an ultimate marker-assisted selection (MAS) tool to accelerate plant breeding. Front. Plant Sci. 5, 484 (2014).

[14]

Stehmann, J. P., Lorenz-Lemke, A. P., Freitas, L. B. & Semir, J. in Petunia: Evolutionary, Developmental and Physiological Genetics (eds Gerats, T. & Strommer, J.) 1-29 (Springer, New York, NY, 2009).

[15]

Xia, Y., Deng, X., Zhou, P. & da Silva, J. A. T. in Floriculture, Ornamental and Plant Biotechnology: Advances and Topical Issues. Ikenobe, Japan, Vol IV (ed. da Silva, J. A. T. ) 336-347 (Global Science Books, Ikenobe, 2006).

[16]

United States Department of Agriculture (USDA)-National Agricultural Statistics Service (NASS) . Floriculture crops 2007 summary. http://usda.mannlib.cornell.edu/usda/current/FlorCrop/FlorCrop-04-24-2008.pdf, accessed 15 April 2018 (2007).

[17]

Vlaming, P. et al. Petunia hybrida: a short description of the action of 91 genes, their origin and their map location. Plant Mol. Biol. Rep. 2, 21-42 (1984).

[18]

National Plant Germplasm System . Report of the Herbaceous Ornamental Crop Germplasm Committee. http://www.ars-grin.gov/npgs/cgc_reports/herbscgc1995.htm, accessed 15 April 2018 (1995).

[19]

Walworth, A. E. & Warner, R. M. Differential cold acclimation ability of Petunia spp.. HortScience 44, 1219-1222 (2009).

[20]

Krahl, K. & Randel, W. Genetics of floral longevity in petunia. HortScience 34, 339-340 (1999).

[21]

Griesbach, R., Neal, J. & Bentz, J. Arthropod resistant in a petunia ecotype with glabrous leaves. HortScience 37, 383-385 (1999).

[22]

Strommer, J., Gerats, A. G. M., Sanago, M. & Molnar, S. J. A gene-based RFLP map of petunia. Theor. Appl. Genet. 100, 899-905 (2000).

[23]

Galliot, C., Hoballah, M. E., Kuhlemeier, C. & Stuurman, J. Genetics of flower size and nectar volume in Petunia pollination syndromes. Planta 225, 203-212 (2006).

[24]

Klahre, U. et al. Pollinator choice in petunia depends on two major genetic loci for floral scent production. Curr. Biol. 21, 730-739 (2011).

[25]

Guo, Y., Lin, W.-K., Chen, Q., Vallejo, V. A. & Warner, R. M. Genetic determinants of crop timing and quality traits in two interspecific petunia recombinant inbred line populations. Sci. Rep. 7, https://doi.org/10.1038/s41598-017-03528-9 (2017).

[26]

Johnson, H. W., Robinson, H. F. & Comstock, R. E. Estimates of genetic and environmental variability in soybeans. Agron. J. 47, 314 (1955).

[27]

Watanabe, H., Ando, T., Tsukamoto, T., Hashimoto, G. & Marchesi, E. Cross-compatibility of Petunia exserta with other Petunia taxa. Engei Gakkai Zasshi 70, 33-40 (2001).

[28]

Dell’Olivo, A., Hoballah, M. E., Gübitz, T. & Kuhlemeier, C. Isolation barriers between Petunia axillaris and Petunia integrifolia (Solanaceae). Evolution 65, 1979-1991 (2011).

[29]

Hussein, H. A. & Misiha, A. Diallel analysis for some quantitative characters in Petunia hybrida Hort.. Theor. Appl. Genet. 54, 17-25 (1979).

[30]

Cao, Z. et al. Genome-wide search for quantitative trait loci controlling important plant and flower traits in petunia using an interspecific recombinant inbred population of Petunia axillaris and P. exserta. G3 Genes Genomes Genet. 8, https://doi.org/10.1534/g3.118.200128 (2018).

[31]

Liu, N. et al. Intraspecific variation of residual heterozygosity and its utility for quantitative genetic studies in maize. BMC Plant Biol. 18, https://doi.org/10.1186/s12870-018-1287-4 (2018).

[32]

Eichten et al. B73-Mo17 near-isogenic lines demonstrate dispersed structural variation in maize. Plant Physiol. 156, 1679-1690 (2011).

[33]

Ashikari, M. et al. Cytokinin oxidase regulates rice grain production. Science 309, 741-745 (2005).

[34]

Krizek, B. A. Auxin regulation of Arabidopsis flower development involves members of the AINTEGUMENTA-LIKE/PLETHORA (ALT/PLT) family. J. Exp. Bot. 62, 3311-3319 (2011).

[35]

Souer, E. et al. Patterning of inflorescences and flowers by the F-box protein double top and the leafy homolog aberrant leaf and flower of petunia. Plant Cell 20, 2033-2048 (2008).

[36]

Fletcher, J. C. The ULTRAPETALA gene controls shoot and floral meristem stem in Arabidopsis. Development 128, 1323-1333 (2001).

[37]

Rambla, J. L. et al. Identification, introgression, and validation of fruit volatile QTLs from a red-fruited wild tomato species. J. Exp. Bot. 68, 429-442 (2017).

[38]

Swamy, B. P. & Sarla, N. Yield-enhancing quantitative trait loci (QTLs) from wild species. Biotechnol. Adv. 26, 106-120 (2008).

[39]

Ding, G. et al. Quantitative trait loci for seed yield and yield-related traits, and their responses to reduced phosphorus supply in Brassica napus. Ann. Bot. 109, 747-759 (2012).

[40]

Zou, G. et al. Identification of QTLs for eight agronomically important traits using an ultra-high-density map based on SNPs generated from high-throughput sequencing in sorghum under contrasting photoperiods. J. Exp. Bot. 63, 5451-5462 (2012).

[41]

Zhang, G. et al. Fruit size QTL analysis of an F1 population derived from a cross between a domesticated sweet cherry cultivar and a wild forest sweet cherry. Tree Genet. Genomes 6, 25-36 (2009).

[42]

Bombarely, A. et al. Insight into the evolution of the Solanaceae from the parental genomes of Petunia hybrida. Nat. Plants 2, 16074 (2016).

[43]

Hunter, J. D. Matplotlib: a 2D graphic environment. Comput. Sci. Eng. 9, 90-95 (2007).

[44]

Van Ooijen, J. W. MapQTL® 6, Software for the mapping of quantitative trait loci in experimental populations of diploid species (Kyazma B. V., Wageningen, 2009).

[45]

Li, H., Ye, G. & Wang, J. K. A modified algorithm for the improvement of composite interval mapping. Genetics 175, 361-374 (2007).

PDF (2651KB)

0

Accesses

0

Citation

Detail

Sections
Recommended

/