[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 1, Issue 1 (2014) ::
pgr 2014, 1(1): 1-12 Back to browse issues page
Identification of Genomic Oregions Controlling Iron Concentration and Content in Shoot of Barley in A × B Doubled Hoploid Mapping Population
Shiva Gheitaran Poorsahrigh , Seyed Abolghasem Mohammadi * , Behzad Sadeghzadeh
Professor, Department of Plant Breeding and Biotechnology, Faculty of Agriculture, Tabriz University, Tabriz, Iran , mohammadi@tabrizu.ac.ir
Abstract:   (31354 Views)
Iron is one of the essential micronutrient, which has an important role in nitrogen fixation and activity of some enzymes such as catalase, peroxidase and cytochrome oxidase. To map QTLs related to accumulation of iron in shoot of barley at five leaves and maturity stages, 148 doubled haploid lines derived from a cross between Clipper and Sahara3771 varieties were evaluated under greenhouse condition and single plant iron concentration and content were measured. For QTL analysis by linkage map including, 26 retrotransposone markers IRAP and REMAP, 246 SSR and EST-SSR, 238 RFLP and one morphological markers was used. Analysis of variance revealed significant difference between lines for all the studies traits and presence of trangreesive segregation for all the traits and indicated presence of desirable parental allele combinations in the progenies. In total, 511 markers in 7 linkage covered 1099.09 cM of barley genome with an average distance of 2.37 cM between two adjacent markers. For single plant iron concentration, eight and four, iron content in single plant, six and three QTLs were identified at vegetative and maturity stages, respectively. Negative additive effects of the most QTLs indicate the role of Sahara3771 alleles in increased iron accumulation in offspring. One common genomics regions was detected for QTLs of single plant iron concentration and content at maturity which could be due to linkage between the QTLs or the pleiotropic effect of a single QTL.
Keywords: Barley, Doubled haploid lines, Gene linkage, Iron accumulation, Pleiotropic effect
Full-Text [PDF 692 kb]   (2249 Downloads)    
Type of Study: Research | Subject: Plant improvement
Accepted: 2014/07/13
References
1. Balint, A.F., Roder, M.S., Hell, R., Galiba, G. and Borner, A. (2007). Mapping of QTLs affecting copper tolerance and the Cu, Fe, Mn and Zn contents in the shoots of wheat seedlings, Biologia Plantarum, 51: 129-134.
2. Becker, M. and Asch, F. (2005). Iron toxicity in rice condition and management concepts. Journal of Plant Nutrition and Soil Science, 168: 558-573.
3. Cakmak, I. (2002). Plant nutrition research: Priorities to meet human needs for food in sustaina sustainable ways. Plant and Soil, 247: 3-24.
4. Ebadi, A. (2013). Construction of barley doubled haploid population microsatellite linkage map and identification of genetic regions associated with agronomic traits and some micronutrients accumulation. Ph.D. Thesis, Faculty of Agriculture, Tabriz University, Tabriz, Iran (In Persian).
5. Fageria, N.K., Baligar, V.C. and Clark, R.B. (2002). Micronutrients in crop production. Advances in Agronomy, 77: 185-268. FAO. (2012). FAO Statistical Database (FAOSTAT), Web site at URL: http://www.faostat.fao.org. Accessed 09 June 2012.
6. Garciaoliveria, A.L., Tan, L., Yongcai, F.M. and Sun, C.H. (2009). Genetic identification of quantitative trait loci for contents of mineral nutrients in rice grain. Journal of Integrative Plant Biology, 51: 84-92.
7. Genc, Y., Verbyla, A.P., Torun, A.A., Cakmak, I., Willsmore, K., Wallwork, H. and McDonald, G.K. (2009). Quantitative trait loci analysis of zinc efficiency and grain zinc concentration in wheat using whole genome average interval mapping. Plant and Soil, 314: 49-66.
8. Lorieux, M. (2012). MapDisto: fast and efficiency computation of genetic linkage map. Molecular Breeding, 30: 1231-1235.
9. Martin, J.H., Leonard, W.H. and Stamp, D.L. (1976). Principles of Field Crop Production, 3 th edn, Collier Macmillan, Toronto, Canada.
10. Norton, G.J., Deacan, C.M., Xiong, L., Huang, S.H., Meharg, A.A. and Price, A.H. (2010). Genetic mapping of rice ionome in leaves and grain: Identification of QTLs 17 elements including arsenic, Cadmium, iron and selenium. Plant and Soil, 329: 139-153.
11. Sadeghzadeh, B. (2008). Mapping of chromosome regions associated with seed Zn accumulation in barley. Ph.D. Thesis, Faculty of Natural and Agricultural Sciences, University of Western Australia, Perth, Australia.
12. Saghai-Maroof, M.A., Soliman, K., Tpregensen, R.A. and Allard, R.W. (1984). Ribosomal DNA spacer-lenth polymorphism in barley: Mendelian inheritance chromosomal location and population dynamics. Proceeding of the National Academy of Sciences of the United States of America. 81: 8014-8018.
13. Shimizu, A., Guerta, C.Q., Gregorio, G.B., Kawasaki, S. and Ikehashi, H. (2005). QTLs for nutritional contents of rice seedlings (Oryza sativa L.) in solution cultures and its implication to tolerance to iron-toxicity. Plant and Soil, 275: 57-66.
14. Van-Ooijen, J.W. (2006). JoinMap4: Software for the calculation of genetic linkage map in experimental population. Kyazma B.V., Wageningen, Netherlands.
15. Wang, S., Basten, C.J. and Zeng, Z.B. (2005). Windows QTL Cartographer V2.5 011. Raleigh, NC: Department of Statistics, North Carolina State University, USA.
16. Yu, Q. and Rengel, Z. (1991). Micronutrient deficiency influences plant growth and activities of superoxide dismutase in narrow-leafed lupines. Annals of Botany, 83: 175-182.
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:

Gheitaran Poorsahrigh S, Abolghasem Mohammadi S, Sadeghzadeh B. Identification of Genomic Oregions Controlling Iron Concentration and Content in Shoot of Barley in A × B Doubled Hoploid Mapping Population. pgr 2014; 1 (1) :1-12
URL: http://pgr.lu.ac.ir/article-1-23-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 1, Issue 1 (2014) Back to browse issues page
پژوهش های ژنتیک گیاهی Plant Genetic Researches
Persian site map - English site map - Created in 0.06 seconds with 38 queries by YEKTAWEB 4642