Using stepwise regression to identify ISSR molecular markers associated with agronomic traits in ispaghula (Plantago ovata Forssk.) ecotypesa ecotypes

Rahimi, Mehdi

doi:10.29252/nbr.5.2.128

Using stepwise regression to identify ISSR molecular markers associated with agronomic traits in ispaghula (Plantago ovata Forssk.) ecotypesa ecotypes

Author

Mehdi Rahimi

Assistant Professor of plant breeding, Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran.

https://doi.org/10.29252/nbr.5.2.128

Abstract

In this study, the associations between ISSR markers with some agronomic traits in 22 ispaghula ecotypes were used by stepwise regression analysis. The results of stepwise regression analysis showed a significant association between traits and some of loci markers positions. For some traits was detected more than one informative marker. Totally 90 informative ISSR markers were revealed that due to the associated of some markers in control of several traits, finally, the 48 markers were significantly associated with traits. The UBC816-2, UBC826-2 and UBC826-3 markers showed a significant correlation with grain yield and controlled 53.5% of the phenotypic variation. Among the ISSR primers, special attention should be drawn to primer UBC811 and UBC813-11 marker, because of the highest associated had exist between this primer and this marker with the studied traits. Some of these markers were associated with more than one trait that these traits had very close linkage together or possibly were controlled by pleiotropic effects. These primers have been found useful for improved Ispaghula.

Keywords

Ispaghula

Informative markers

Grain yeild

20.1001.1.24236330.1397.5.2.3.3

AghAali, Z., Darvishzadeh, R. and Goodarzi, F. 2016. Association analysis of morphological traits in castor (Ricinus communis L.) by using ISSR markers. –Iran. J. Rang. For. Pl. Breed. Gen. Res. 24: 79-91.

Bahari, Z., Shojaeiyan, A., Rashidi Monfared, S., Mirshekari, A., Nasiri, K. and Amiriyan, M. 2015. Investigation of genetic diversity among some Iranian dill (Anethum graveolens L.) landraces, using ISSR markers. – J. Pl. Gen. Res. 2: 11-22.

Basaki, T., Choukan, R., Khayam-Nekouei, S., Mardi, M., Majidi, E., Faraji, S. and Zeinolabedini, M. 2011. Association analysis for morphological traits in pomegranate (Punica geranatum L.) using microsatellite markers. – Mid. East J. Sci. Res. 9: 410-417.

Breseghello, F. and Sorrells, M.E. 2006. Association analysis as a strategy for improvement of quantitative traits in plants. – Crop Sci. 46: 1323-1330.

Collard, B.C. and Mackill, D.J. 2008. Marker-assisted selection: an approach for precision plant breeding in the twenty-first century. – Philosophical Transactions of the Royal Society B: Biol. Sci. 363: 557-572.

Dolati Baneh, H., Mohammadi, S., Abdollahi Mandoulakani, B. and Rahmanpour, S. 2014. Association analysis for morphological traits in grapevine using SSR and AFLP markers. – J. Agri. Biotech. 6: 45-60.

Ganopoulos, I.V., Kazantzis, K., Chatzicharisis, I., Karayiannis, I. and Tsaftaris, A.S. 2011. Genetic diversity, structure and fruit trait associations in Greek sweet cherry cultivars using microsatellite based (SSR/ISSR) and morpho-physiological markers. – Euphytica 181: 237-251.

Gomez, K.A. and Gomez, A.A. 1984. Statistical procedures for agricultural research. – John Wiley & Sons, New York, USA. pp 680.

Hormaza, J., Plnney, K. and Polito, V. 1998. Genetic diversity of pistachio (Pistacia vera, Anacardiaceae) germplasm based on randomly amplified polymorphic DNA (RAPD) markers. – Econ. Bot. 52: 78-87.

Jugran, A., Rawat, S., Dauthal, P., Mondal, S., Bhatt, I.D. and Rawal, R.S. 2013. Association of ISSR markers with some biochemical traits of Valeriana jatamansi Jones. - Ind Crops Prod. 44: 671-676.

Kar, P.K., Srivastava, P.P., Awasthi, A.K. and Urs, S.R. 2008. Genetic variability and association of ISSR markers with some biochemical traits in mulberry (Morus spp.) genetic resources available in India. – Tree Genetics & Genomes 4: 75-83.

Karimzadeh, G. and Omidbaigi, R. 2004. Growth and seed characteristics of isabgol (Plantago ovata Forsk) as influenced by some environmental factors. – J. Agri. Sci. Tech. 6: 103-110.

Khan, I.A. and Abourashed, E.A. 2011. Leung's encyclopedia of common natural ingredients: used in food, drugs and cosmetics. – John Wiley & Sons, pp 810.

Kurian, A. and Sankar, M.A. 2007. Medicinal plants. – New India Publishing, pp 356.

Marsafari, M., Mehrabi, A.A. and Tahmasebi, Z. 2014. The identification of RAPD and ISSR informative markers with some quality traits of fruit in some of Iranian date palm. – Int. J. Pl. An. Env. Sci. 4: 714-722.

Mohammadzedeh, M., Fattahi Moghadam, R., Zamani, Z. and Khadivi Khub, A. 2014. Study of association between molecular markers and fruit characters in hazelnut using multiple regression analysis. – J. Cell & Tiss. 5: 289-299.

Mohsen-Zade, M., Samizade-Lahiji, M., Alami, A., Shoayi-Deylami, M. and Talesh-Sasani, S. 2012. Study of genetic diversity of flue-cured tobacco (Nicotiana tabacum L.) genotypes using ISSR and retrotransposon markers. – Iran. J. Field Crop Sci. 43: 371-380.

Murray, M. and Thompson, W.F. 1980. Rapid isolation of high molecular weight plant DNA. – Nucleic Acids Res. 8: 4321-4326.

Naghdi Badi, H., Dastpak, A. and Ziai, S. 2004. A review of psyllium plant. – J. Med. Pl. 1: 1-14.

Oraguzie, N.C. and Wilcox, P.L. 2007. An overview of association mapping. -In: Oraguzie, N., Rikkerink, E., Gardiner, S. and De Silva, H. (eds.). Association mapping in plants pp. 1-9. – Springer-Verlag, New York.

Rohilla, A.K., Kumar, M., Sindhu, A. and Boora, K. 2012. Genetic diversity analysis of the medicinal herb Plantago ovata (Forsk.). – Afr. J. Biotechnol. 11: 15835-15842.

Ruan, C. 2010. Germplasm-regression-combined marker-trait association identification in plants. – Afr. J. Biotechnol. 9.

Shannon, C.E. 2001. A mathematical theory of communication. – ACM SIGMOBILE Mob. Comput. Commun. Rev. 5: 3-55.

Sharafzadeh, S. and Alizadeh, O. 2012. Some medicinal plants cultivated in Iran. – J. Appl. Pharm. Sci. 2: 134-137.

ShazdehAhmadi, M. and Kharrazi, M. 2016. Application of ISSR molecular markers for genetic diversity study of some tobacco genotypes. – J. Pl. Gen. Res. 2: 33-46.

Shokrpour, M., Mohammadi, S., Moghadam, M., Ziaei, S. and Javanshir, A. 2008. Analysis of morphologic association, phytochemical and AFLP markers in milk thistle (Silybum marianum L.). – Iran. J. Med. Aro. Pl. 24: 278-292.

Singh, R.J. 2011. Genetic resources, chromosome engineering, and crop improvement: medicinal plants. – CRC Press, London, pp 1098.

SPSS-Inc. 2013. IBM SPSS Statistics 22 Core System User's Guide. SPSS Inc., an IBM Company Headquarters, USA.

Vahabi, A., Lotfi, A., Solouki, M. and Bahrami, S. 2008. Molecular and morphological markers for the evaluation of diversity between Plantago ovata in Iran. – ‎Biotechnol. 7: 702-709.

Virk, P.S., Ford-Lloyd, B.V., Jackson, M.T., Pooni, H.S., Clemeno, T.P. and Newbury, H.J. 1996. Predicting quantitative variation within rice germplasm using molecular markers. – Heredity 76: 296-304.