Leyla Öztürk AKAR, Osman GÜLSEN, Sinan ZENGİN, G. Elif VURAL

Cytoplasmic Genome Prediction in Cucumber (Cucumis sativus L.) Hybrid Variety Breeding

Anahtar Kelimeler:

Breeding, Cucumber, Cucumis sativus L., Cytoplasmic Genome Prediction, Double Haploid, Hybrid Variety Breeding.

Cytoplasmic Genome Prediction in Cucumber (Cucumis sativus L.) Hybrid Variety Breeding

Breeding studies in Cucurbitaceae species take a long time. It has become necessary to shorten the time and support traditional breeding methods with modern biotechnological methods to get qualified domestic cucumber varieties. Cytoplasmic genome prediction within the scope of molecular-based breeding is a very important application. To increase heterosis in test crosses, reciprocal ‘double way’ crosses can be made as well as single crosses. Cytoplasmic organelles ‘plastid and mitochondria’ are considered to be different from each other between individuals and reciprocal crosses are made based on this idea. However it significantly increases the labor. In this study, 4 plastid genome regions (rbcL, psbtrnS, trnHK, trnSt) located within non-conserved regions therefore expected to be variable of 50 donor genotypes were sequenced, analyzed and their cytoplasmic genome prediction was estimated. A total of 6300 bp including four plastid regions indicated no polyfmorphism and all sequences were identical among the 50 donor genotypes analyzed. This may imply no cytoplasmic organelle variation. In conclusion, reciprocal crosses were excluded from our breeding studies. So cytoplasmic genome prediction can provide rapidity and savings in breeding by eliminating unnecessary reciprocal test crosses.

Keywords:

Breeding, Cucumber, Cucumis sativus L., Cytoplasmic Genome Prediction, Double Haploid, Hybrid Variety Breeding. Breeding, Cucumber, Cucumis sativus L., Cytoplasmic Genome Prediction, Double Haploid, Hybrid Variety Breeding.,

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Acquaah G, (2012). Principles of Plant Genetics and Breeding: Breeding Cucumber. 2. New York: Wiley; pp. 676–681
Alverson AJ, Rice DW, Dickinson S, Barry K. and Palmer JD, (2011). Origins and recombination of the bacterial-sized multichromosomal mitochondrial genome of cucumber. Plant Cell 23, 2499–2513.
Behera TK, Staub JE, Behera S, Delannay IY, Chen JF, (2011). Marker-assisted backcross selection in an interspecific Cucumis population broadens the genetic base of cucumber (Cucumis sativus L.). Euphytica 178, 261-272.
Doyle JJ and Doyle JL, (1990). Isolation of plant DNA from fresh tissue. Focus 12, 13–15.
Duangjit J, Causse M, and Sauvage C, (2016). Efficiency of genomic selection for tomato fruit quality. Mol. Breed. 36:29.
FAO, (2020). FAO of the United Nations. FAOSTAT, http://www.fao.org/faostat/en/#data/QC Accessed 05 February 2020.
Gezan SA, Osorio LF, Verma S, and Whitaker VM, (2017). An experimental validation of genomic selection in octoploid strawberry. Horticult. Res. 4:16070.
Gopalakrishnan TR, (2007). Vegetable crops. In: Peter KV, Swaminathan MS, editors. Horticulture science series – 4. India: New India Publishing Agency; p. 103
Gulsen O, Ceylan A, (2011). Elucidating polyploidization of bermudagrasses as assessed by organelle and nuclear DNA markers. OMICS A Journal of Integrative Biology 15 (12): 903- 912.
Huang, S, Li R, Zhang Z, Li L, Gu X, Fan W, Lucas WJ, Wang X, Xie B and Ni P, (2009). The genome of the cucumber, Cucumis sativus L. Nat. Genet. 41, 1275–1281.
Liu C, Liu X, Han Y, Wang X, Ding Y, Meng H, and Cheng Z, (2021). Genomic Prediction and the Practical Breeding of 12 Quantitative-Inherited Traits in Cucumber (Cucumis sativus L.). Front. Plant Sci. 12:729328
Pan YP, Wang YH, McGregor C, Liu S, Luan FS, Gao ML, et al., (2020). Genetic architecture of fruit size and shape variation in cucurbits: A comparative perspective. Theoretic. Appl. Genetics 133, 1–21.
Park HS, Lee WK, Lee SC, Lee HO, Joh HJ, Park JY, Kim S, Song K. and Yang TJ, (2021). Inheritance of chloroplast and mitochondrial genomes in cucumber revealed by four reciprocal F1 hybrid combinations. Scientifc Reports 11:2506.
Riedelsheimer C, Czedik-Eysenberg A, Grieder C, Lisec J, Technow F, Sulpice R, et al., (2012). Genomic and metabolic prediction of complex heterotic traits in hybrid maize. Nat. Genet. 44, 217–220.
Sverrisdottir E, Sundmark EHR, Johnsen HO, Kirk HG, Asp T, Janss L, et al., (2018). The Value of expanding the training population to improve genomic selection models in tetraploid potato. Front. Plant Sci. 9:1118.
Tayeh N, Klein A, Le Paslier MC, Jacquin F, Houtin H, Rond C, et al., (2015). Genomic prediction in pea: Effect of marker density and training population size and composition on prediction accuracy. Front. Plant Sci. 6:941.
Xu SZ, Xu Y, Gong L, and Zhang QF, (2016). Metabolomic prediction of yield in hybrid rice. Plant J. 88, 219–227.
Yang LM, Koo DH, Li YH, Zhang XJ, Luan FS, Havey MJ, et al., (2012). Chromosome rearrangements during domestication of cucumber as revealed by high-density genetic mapping and draft genome assembly. Plant J. 71, 895–906.