[Home ] [Archive]   [ فارسی ]  
:: About :: Main :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..



 
..
:: Volume 5, Issue 2 (2019) ::
pgr 2019, 5(2): 73-84 Back to browse issues page
Grouping of Rice Genotypes Based on Grain Iron, Zinc, Manganese and Protein and Performance Measurement of Linked Microsatellite Markers
Elham Nasiri , Atefeh Sabouri * , Akbar Forghani , Masoud Esfahani
Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran , a.sabouri@guilan.ac.ir
Abstract:   (13272 Views)
In order to select the best parents for crossings, plant breeders seek varieties or genotypes with highest genetic dissimilarities. This can be achieved by measuring the similarities among genotypes, using multivariate analysis methods such as cluster analysis. This study aimed to group 50 aerobic and lowland rice genotypes based on biochemical characteristics including Iron, Zinc, Manganese and protein, and their linked DNA markers. According to the cluster analysis results using Ward method, the genotypes were assigned to four groups. The third group, as the smallest group including three genotypes (IR82635-B-B-82-2, Caiapo, and Gohar), had the highest value for these micronutrients. Their mean value for Iron, Zinc, Manganese, and protein were 32.39, 34.15, 25.66 mg/kg and 6.71%, respectively. Also, all genotypes were classified into two main groups based on microsatellite markers information, that according to QTL mapping studies these markers were identified as linked to elements. So, the most of non-local genotypes and aerobic rice cultivars were assigned in a separate group. The correlation between Euclidean distance of elements and protein matrix and genetic similarity matrix (Nie) using Mental correlation test was estimated significant (p<0.01) that can be evidence of a genetic relationship between the SSR markers and genome controlling regions of elements in this population.
Keywords: Rice, Cluster analysis, Aerobic, Biochemical elements, Lowland
Full-Text [PDF 1055 kb]   (1335 Downloads)    

Accepted: 2019/05/28
References
1. Aboutalebi, Sh., Fotokian, M.H. and Zeinalabedini, M. )2015(. Evaluation of genetic diversity and population structure of rice cultivars using satellite markers related to iron and zinc accumulation. Journal of Agricultural Biotechnology, 6(4): 1-14. (In Persian).
2. Alvanchi, M. )2013(. Evaluation of Rice (Oryza sativa L.) Genotypes on the Base of Biochemical Characteristics and Molecular Markers Associated with Grain Nutritional Value. M.Sc. Thesis, University of Guilan, Guilan, IR (In Persian).
3. Anuradha, K., Agarwal, S., Rao, Y.V., Rao, K.V., Viraktamath, B.C. and Sarla, N. )2012(. Mapping QTLs and Candidate Genes for Iron and Zinc Concentrations in Unpolished Rice of Madhukar × Swarna RILs. Gene, Directorate of Rice Research, Hyderabad, IN. [DOI:10.1016/j.gene.2012.07.054]
4. Brar, D.S., Mackill, D.J. and Hardy, B. )2007(. Rice genetics V. Proceedings of Fifth International Rice Genetics Symposium. World Scientific Publishing and Los Banos, International Rice Research Institute, Manila, PHL.
5. Dadras, A.R., Samizadeh, H. and Sabouri, H. )2015(. Evaluation and grouping of soybean varieties and lines under normal and drought stress using multivariate statistical methods in two regions of Rasht and Gonbad Kavous. Electronic Journal of Crop Production, 9(3): 18-105 (In Persian).
6. FAO. )2004(. Food and Agriculture Organization of the United Nations, international year of rice. Rice is life. Rome, IT.
7. Fitzgerald, M.A., McCouch, S.R. and Hall, R.D. )2008(. Not just a grain of rice: the quest for quality. Trends in Plant Science, 14(3): 133-139. [DOI:10.1016/j.tplants.2008.12.004]
8. Ghandilyan, A., Vreugdenhilb, D. and Aarts, M.G.M. )2006(. Progress in the genetic understanding of plant iron and zinc nutrition .Physiological Plantarum, 126(3): 407-417. [DOI:10.1111/j.1399-3054.2006.00646.x]
9. Gheitaran Poorsahrigh, Sh., Mohammadi, S.A., Sadeghzadeh, B. (2014). Identification of Genomic Oregions Controlling Iron Concentration and Content in Shoot of Barley in A × B Doubled Hoploid Mapping Population. Plant Genetic Researches. 1(1): 1-12. [DOI:10.29252/pgr.1.1.1]
10. Honarvar, F., Sabouri, H., Dadras, A.R. and Saieedisar, S. )2013(. Study of the allelic diversity of SSR markers in rice genotypes. 8th National Biotechnology Congress of I.R. Iran and 4th National Biosafety Congress of IRAN. 6-8 July 2013, Tehran University, Tehran, IR (In Persian).
11. Honarvar, F., Sabouri, H. and Dadras, A.R. )2016(. Study of genetic diversity of rice genotypes by SSR markers and association analysis for related traits to cold tolerance. Journal of Crop Breeding, 8(17): 166-173 (In Persian). [DOI:10.18869/acadpub.jcb.8.17.173]
12. Indurkar, A.B., Majgahe, S.K., Sahu, V.K., Vishwakarma, A., Premi, V., Shrivastatva, P., Dubey, M. and Chandel, G. )2015(. Identification, Characterization and Mapping of QTLs related to Grain Fe, Zn and Protein Contents in Rice (Oryza sativa L.). Electronic Journal of Plant Breeding, 6(4): 1059-1069.
13. Kalra, Y.P. )1998(. Handbook of Reference Methods for Plant Analysis. Taylor & Francis Group, LLC CRC Press. Boca Raton, FL.
14. Lu, K., Li, L., Zheng, X., Zhang, Z., Mou, Y. and Hu, Z. )2008(. Quantitative trait loci controlling Cu, Ca, Zn, Mn and Fe content in rice grains. Journal of Genetics, 87: 305-310. [DOI:10.1007/s12041-008-0049-8]
15. Moumeni, A., Emanykhah, F., Maleki Zanjani, B. and Maleki, S. )2007(. Estimation of genetic diversity of Iranian rice cultivars for tight linked markers to aroma. Proc. of 5th National Biotechnology Congress. Tehran, IR (In Persian).
16. Nicholas, F.W. (2006). Discovery, validation, and delivery of DNA markers. Australian Journal of Experimental Agriculture. 46, 155-158. [DOI:10.1071/EA05228]
17. Pathak, Kh., Rahman, S.W., Bhagawati, S. and Gogoi, B. )2017(. Assessment of nutritive and antioxidant properties of some indigenous pigmented hill rice (Oryza sativa L.) cultivars of Assam. Indian Journal of Agricultural Research, 51(3): 214-220. [DOI:10.18805/ijare.v51i03.7909]
18. Rashidi, V., Majidi, I., Mohamadi, S.A. and Moghadam Vahed M. )2007(. Determine of genetic relationship in durum wheat lines by cluster analysis and identity of morphological main characters in each groups. Journal of Agricultural Science. 13(2): 441-450 (In Persian).
19. Romesburg, H.C. )1990(. Cluster Analysis for Researchers, 1th end. Krieger Publishing, Malabar, Florida, USA.
20. Saghai Maroof, M.A., Biyashev, R.M., Yang, G.P., Zhang, Q. and Allard, R.W. )1994(. Extraordinarily polymorphic DNA in barely species diversity, chromosomal location, and population dynamics. Proceeding of the National Academy of Sciences, 91(12): 5466-5570. [DOI:10.1073/pnas.91.12.5466]
21. Shi, C.H., Zhu. J. and Wu, J.G. )1999(. Analysis of embryo, endosperm, cytoplasmic and maternal effects for heterosis of protein and lysine content in indicia hybrid rice. Plant Breeding, 118: 574-576. [DOI:10.1046/j.1439-0523.1999.00418.x]
22. Stangoulis, A.J. )2010(. Technical aspects of zinc and iron analysis in biofortification of the staple food crops, wheat and rice. 19th World Congress of Soil Science, Brisbane, AU.
23. Stangoulis, J.C.R., Huynh, B., Welch, R.M., Choi, E.Y. and Graham, R.D. )2007(. Quantitative trait loci for phytate in rice grain and their relationship with grain micronutrient content. Euphytica, 154: 289-294. [DOI:10.1007/s10681-006-9211-7]
24. Swamy, B.P.M., Kaladhar, K., Anuradha, K., Batchu, A.K., Longvah, T., Viraktamath, B.C. and Sarla, N. )2011(. Enhancing iron and zinc concentration in rice grains using wild species. ADNAT Convention and International Symposium on Genomics and Biodiversity, CCMB, Hyderabad. IN.
25. Yasmin, F., Islam, M.R., S. Rehana, Mazumder, R.R., Anisuzzaman, M., Khatun, H., Rayhan, R. and Gregorio, G.B. )2012(. Molecular characterization of inbred and hybrid rice genotypes of Bangladesh. SABRAO Journal of Breeding and Genetics, 44(1): 163-175.
26. Zeng, Y., Zhang, H., Wang, L., Pu, X., Du, J., Yang, S. and Liu, J. )2010(. Genotypic variation in element concentrations in brown rice from Yunnan landraces in China. Environmental Geochemistry and Health, 32: 165-177. [DOI:10.1007/s10653-009-9272-3]
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Nasiri E, Sabouri A, Forghani A, Esfahani M. Grouping of Rice Genotypes Based on Grain Iron, Zinc, Manganese and Protein and Performance Measurement of Linked Microsatellite Markers. pgr 2019; 5 (2) :73-84
URL: http://pgr.lu.ac.ir/article-1-132-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 5, Issue 2 (2019) Back to browse issues page
پژوهش های ژنتیک گیاهی Plant Genetic Researches
Persian site map - English site map - Created in 0.06 seconds with 37 queries by YEKTAWEB 4642