Molekularna raznolikost genotipov riža (Oryza sativa L.) v Maleziji, določena na osnvi SSR označevalcev

Mohammad ANISUZZAMAN, Mohammad Rafiqul ISLAM, Hasina KHATUN, Mohammad Amdadul HAQUE, Mahammad Shariful ISLAM, Mohammad Shamim AHSAN

Povzetek


Izboljšanje pridelka riža temelji na njegovi genetski variabilnosti in zmožnosti dedovanja primernih genov. Za meritev ravni polimorfizma in genetske variabilnosti med 65 genotipi riža je bilo uporabljenih 25 SSR označevalcev. Od 25 SSR je bilo 21 prepoznanih kot polimorfnih, med tem, ko so bili ostali določeni kot monomorfni. V 21 SSR označevalcih je bilo celokupno 91 alelov s poprečno vrednostjo 4,00, ki je variirala od 3 (RM335, RM551, RM538 RM190, RM242 in RM270) do 7 (RM263). Poprečna vrednost PIC je bila 0,62, z razponom od 0,28 (RM 270) do 0,76 (RM 481). Genotipi riža so se v dendrogramu razdelili v devet primarnih grozdov na osnovi programa NTSYS in UPGMA analize. Analiza grozdov je odkrila devet grozdov, kjer je grozd IB-1a vseboval največ genotipov (31), temu je sledil grozd IB-1b (24). Genotipi kot so BR24, Utri, Pukhi in WANGI PUTEH so imeli največji koeficient neenakosti, kar nakazuje veliko genetsko raznolikost. Te akcesije imajo v svojih lastnostih veliko genetsko raznolikost in bi lahko bile neposredno uporabljene v programih križanja za izboljšanje s pridelkom povezanih lastnosti.


Ključne besede


molekulaska raznolikost; SSR označevalci; informacija o polimorfnosti; riž

Celotno besedilo:

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Literatura


Anderson, J. A., Churchill, G. A., Autrique, J. E., Tanksley, S. D., & Sorrells, M. E. (1993). Optimizing parental selection for genetic linkage maps. Genome, 36(1), 181–186. https://doi.org/10.1139/93-024

Ashraf, H., Husaini, A. M., Ashraf Bhat, M., Parray, G., Khan, S., & Ganai, N. A. (2016). SSR based genetic diversity of pigmented and aromatic rice (Oryza sativa L.) genotypes of the western Himalayan region of India. Physiology and Molecular Biology of Plants, 22(4), 547–555. https://doi.org/10.1007/s12298-016-0377-8

Becerra, V., Paredes, M., Ferreira, M. E., Gutiérrez, E., & Díaz, L. M. (2017). Assessment of the genetic diversity and population structure in temperate japonica rice germplasm used in breeding in Chile, with SSR markers. Chilean Journal of Agricultural Research, 77(1), 15–26. https://doi.org/10.4067/S0718-58392017000100002

Bohra, A., Jha, R., Pandey, G., Patil, P. G., Saxena, R. K., Singh, I. P., Singh, D., Mishra, R. K., Mishra, A., Singh, F., Varshney, R. K., & Singh, N. P. (2017). New hypervariable SSR markers for diversity analysis, hybrid purity testing and trait mapping in pigeonpea [Cajanus cajan (L.) Millspaugh]. Frontiers in Plant Science, 8(March), 1–15. https://doi.org/10.3389/fpls.2017.00377

Brumlop, S., & Finckh, M. R. (2011). Applications and potentials of marker assisted selection (MAS) in plant breeding: final report of the F+ E project” Applications and Potentials of Smart Breeding”(FKZ 350 889 0020)-on behalf of the Federal Agency for Nature Conservation.

Buzatti, R. S. de O., Pfeilsticker, T. R., Muniz, A. C., Ellis, V. A., Souza, R. P. de, Lemos-Filho, J. P., & Lovato, M. B. (2019). Disentangling the environmental factors that shape genetic and ghenotypic leaf trait variation in the tree Qualea grandiflora across the Brazilian Savanna. Frontiers in Plant Science, 10(December), 1–14. https://doi.org/10.3389/fpls.2019.01580

Dhama, Nishat, Saini, R. K., Kumar, R., Chaudhary, D. P., Maurya, B. K., Sharma, M., Sen, M., Kumar, D., Malik, P., & Kumar, P. (2018). Analysis of genetic diversity in rice (Oryza Sativa L .) cultivars using SSR. Bulletin of Environmental Pharmacology and Life Science, 7(3), 1–7.

Doyle, J. J., & Doyle, J. L. (1987). Doyle plant DNA extract. Phytochemical Bulletin, 19(1), 11–15.

Gedil, M., & Menkir, A. (2019). An integrated molecular and conventional breeding scheme for enhancing genetic gain in maize in Africa. Frontiers in Plant Science, 10(November), 1–17. https://doi.org/10.3389/fpls.2019.01430

Hernández, H. G., Tse, M. Y., Pang, S. C., Arboleda, H., & Forero, D. A. (2013). Optimizing methodologies for PCR-based DNA methylation analysis. BioTechniques, 55(4), 181–197. https://doi.org/10.2144/000114087

Huang, M., Xie, F. M., Chen, L. Y., Zhao, X. Q., Jojee, L., & Madonna, D. (2010). Comparative analysis of genetic diversity and structure in rice using ILP and SSR markers. Rice Science, 17(4), 257–268. https://doi.org/10.1016/S1672-6308(09)60025-1

Hue, H. T., Nghia, L. T., Minh, H. T., Anh, L. H., Trang, L. T. T., & Khanh, T. D. (2018). Evaluation of genetic diversity of local-colored rice landraces using SSR markers. International Letters of Natural Sciences, 67, 24–34. https://doi.org/10.18052/www.scipress.com/ilns.67.24

Koskey, G., Mburu, S. W., Kimiti, J. M., Ombori, O., Maingi, J. M., & Njeru, E. M. (2018). Genetic characterization and diversity of Rhizobium isolated from root nodules of mid-altitude climbing bean (Phaseolus vulgaris L.) varieties. Frontiers in Microbiology, 9(MAY), 1–12. https://doi.org/10.3389/fmicb.2018.00968

Linda, M., Arshiya N., & Maria A. P. (2009).Assessing plant genetic diversity by molecular tools. Jounal of MDPIDiversity, 1, 19-35; https://doi.org/10.3390/d1010019

McCouch, S. R., Temnykh, S., Lukashova, A., Coburn, J., DeClerck, G., Cartinhour, S., Harrington, S., Thomson, M., Septiningsih, E., Semon, M., Moncada, P., & Jimin, L. (2008). Microsatellite markers in rice: abundance, diversity, and applications. In: Rice Genetics IV. IRRI. Manila, Philippines (pp. 117–135). https://doi.org/10.1142/9789812814296_0008

Nachimuthu, V. V., Raveendran, M., Duraialaguraja, S., Sivakami, R., Pandian, B. A., Ponniah, G., Gunasekaran, K., Swaminathan, M., K K, S., & Sabariappan, R. (2015). Analysis of population structure and genetic diversity in rice germplasm using SSR markers: An initiative towards association mapping of agronomic traits in Oryza sativa L. Rice, 8(1). https://doi.org/10.1186/s12284-015-0062-5

Nadeem, M. A., Nawaz, M. A., Shahid, M. Q., Doğan, Y., Comertpay, G., Yıldız, M., Hatipoğlu, R., Ahmad, F., Alsaleh, A., Labhane, N., Özkan, H., Chung, G., & Baloch, F. S. (2018). DNA molecular markers in plant breeding: current status and recent advancements in genomic selection and genome editing. Biotechnology and Biotechnological Equipment, 32(2), 261–285. https://doi.org/10.1080/13102818.2017.1400401

Osekita, O., Akinyele, B., & Odiyi, A. (2015). Evaluation of exotic rice varieties for genetic parameters in a Nigerian agro-ecology. International Journal of Plant & Soil Science, 5(6), 350–358. https://doi.org/10.9734/ijpss/2015/12828

Pathak, P., Singh, S. K., Korada, M., Habde, S., Singh, D. K., Khaire, A., & Kumar Majhi, P. (2020). Genetic characterization of local rice (Oryza sativa L.) genotypes at morphological and molecular level using SSR markers. Journal of Experimental Biology and Agricultural Sciences, 8(2), 148–156. https://doi.org/10.18006/2020.8(2).148.156

Rohlf Fj. (1987). NTSYS-pc Version. 2.02i Numerical Taxonomy and Multivariate Analysis System. Applied Biostatistics Inc., Exeter Software, Setauket, New York. https://doi.org/10.2307/2684761

Sahagun-castellanos, J. (1985). Efficiency of augmented designs for selection. In Doctoral dissertation. Iowa State University.

Serrote, C. M. L., Reiniger, L. R. S., Silva, K. B., Rabaiolli, S. M. dos S., & Stefanel, C. M. (2020). Determining the polymorphism information content of a molecular marker. Gene, 726, 144175. https://doi.org/10.1016/j.gene.2019.144175

Singh, A., Saini, R., Singh, J., Arya, M., Ram, M., Pallavi, Mukul, & Singh, P. K. (2014). Genetic diversity studies in rice (Oryza sativa L.) using microsatellite markers. International Journal of Agriculture, Environment and Biotechnology, 8(1), 143. https://doi.org/10.5958/2230-732x.2015.00019.4

Singh, N., Choudhury, D. R., Tiwari, G., Singh, A. K., Kumar, S., Srinivasan, K., Tyagi, R. K., Sharma, A. D., Singh, N. K., & Singh, R. (2016). Genetic diversity trend in Indian rice varieties: An analysis using SSR markers. BMC Genetics, 17(1), 1–13. https://doi.org/10.1186/s12863-016-0437-7

Siva, R., Kumar, K., & Rajasekaran, C. (2013). Genetic diversity study of important Indian rice genotypes using biochemical and molecular markers. African Journal of Biotechnology, 12(10), 1004–1009. https://doi.org/10.5897/AJB10.797

Sonkar, S., Singh, S. K., Vennela, P. R., & Singh, D. K. (2016). Molecular marker based genetic diversity analysis in rice genotypes (Oryza sativa L.) using SSR markers. International Journal of Agriculture, Environment and Biotechnology, 9(1), 45–51. https://doi.org/10.5958/2230-732X.2016.00007.3

Sun, P., Jia, H., Yue, Z., Li, J., Li, J., Zhang, J., Lu, M., & Hu, J. (2020). Genetic identification of 91 poplar cultivars based on SSR markers. Nordic Journal of Botany, 38(6). https://doi.org/10.1111/njb.02504

Tarang, A., Kordrostami, M., Shahdi Kumleh, A., Hosseini Chaleshtori, M., Forghani Saravani, A., Ghanbarzadeh, M., & Sattari, M. (2020). Study of genetic diversity in rice (Oryza sativa L.) cultivars of Central and Western Asia using microsatellite markers tightly linked to important quality and yield related traits. Genetic Resources and Crop Evolution, 67(6), 1537–1550. https://doi.org/10.1007/s10722-020-00927-2

Thomson, M. J., de Ocampo, M., Egdane, J., Rahman, M. A., Sajise, A. G., Adorada, D. L., Tumimbang-Raiz, E., Blumwald, E., Seraj, Z. I., Singh, R. K., Gregorio, G. B., & Ismail, A. M. (2010). Characterizing the Saltol quantitative trait locus for salinity tolerance in rice. Rice, 3(2–3), 148–160. https://doi.org/10.1007/s12284-010-9053-8

Toppo, A., Rastogi, N., Sarawgi, A., & Saxena, R. R. (2018). Molecular characterization of rice accessions using microsatellite markers. Indian Journal of Plant Genetic Resources, 31(3), 310. https://doi.org/10.5958/0976-1926.2018.00036.0

Uba, C. U., Oselebe, H. O., Tesfaye, A. A., & Abtew, W. G. (2021). Genetic diversity and population structure analysis of bambara groundnut (Vigna subterrenea L) landraces using DArT SNP markers. PloS One, 16(7), e0253600. https://doi.org/10.1371/journal.pone.0253600

Xu, Y., Li, P., Zou, C., Lu, Y., Xie, C., Zhang, X., Prasanna, B. M., & Olsen, M. S. (2017). Enhancing genetic gain in the era of molecular breeding. Journal of Experimental Botany, 68(11), 2641–2666. https://doi.org/10.1093/jxb/erx135

Yadav, M. K., Aravindan, S., Ngangkham, U., Shubudhi, H. N., Bag, M. K., Adak, T., Munda, S., Samantaray, S., & Jena, M. (2017). Use of molecular markers in identification and characterization of resistance to rice blast in India. PLoS ONE, 12(4), 1–19. https://doi.org/10.1371/journal.pone.0176236




DOI: http://dx.doi.org/10.14720/aas.2022.118.4.2500

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Avtorske pravice (c) 2022 Mohammad ANISUZZAMAN, Mohammad Rafiqul ISLAM, Hasina KHATUN, Mohammad Amdadul HAQUE, Mahammad Shariful ISLAM, Mohammad Shamim AHSAN

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