Association Analysis for morphological traits in Triticum urartu and Triticum boeoticum populations using IRAP and REMAP markers

Paper Details

Research Paper 01/05/2016
Views (800)
current_issue_feature_image
publication_file

Association Analysis for morphological traits in Triticum urartu and Triticum boeoticum populations using IRAP and REMAP markers

Mojgan TabriziVand Taheri, Seyed Siamak Alavi Kia, Mohammad Moghaddam Vahed, Seyed Abolghasem Mohammadi, Pari Andaz
J. Biodiv. & Environ. Sci. 8(5), 239-248, May 2016.
Copyright Statement: Copyright 2016; The Author(s).
License: CC BY-NC 4.0

Abstract

The two einkorn wheats, Triticum boeoticum and Triticum urartu, that known as ‘A’ genome donor to cultivated wheat are the main elements of many wheat breeding programs. In order to analyze association of IRAP and REMAP markers with some morphological traits, 44 genotypes of T. urartu and 76 genotypes of T. boeoticum from west and north-west of Iran were used. Stepwise regression analysis between molecular data as predictors and each morphological traits data as dependent variables was performed to identify informative markers associated with the studied traits. The associated IRAP and REMAP markers explained %16-85 and %24-89 of the variation of each individual trait, respectively. The most explained variation belongs to traits days to heading and harvest index with association of 11 REMAP loci. Totally, 15out of 26 scorable IRAP combinations showed significant regression with 12 morphological traits. While, 28 out of 41 REMAP scorable combinations had significant regression with all 15 morphological traits. Totally, insertional genomic region of NIKITA and LTR7286 retrotransposons indicated the highest association with most of the studied traits. Therefore, it’s possible to use these retrotransposons along with morphological traits in wheat breeding programs to identify suitable parents to produce mapping populations and also Marker-assisted selection programs, after necessary validation.

Basaki T, Choukan R, Khayam Nekouei SM, Mardi M, Majidi E, Fraji S, Zeinolabedini M. 2011. Association analysis for morphological traits in pomegranate (Punicageranatum L.) using microsatellite markers. Middle East Journal of Scientific Research 9, 410-417.

Eslami Farouji A, Khodayari H, Saeidi H,Rahiminejad MR. 2015. Genetic diversity of diploid Triticum species in IRAN assessed using inter-retroelement amplified polymorphisms (IRAP) markers. Biologia 1, 52-60.

Fathi T, Sohani MM, Samizadeh H, Mehrabi AA. 2014. Molecular genetic diversity of Aegilops triuncialis L. revealed by IRAP markers. International Journal of Biosciences 4, 164-170.

Gomez KA, Gomez AA. 1984. Statistical procedures for agricultural research, 2nd edition. John wiley, New York, USA.

Gupta PK, Varshney RK, Sharma PC, Ramesh B. 1999. Molecular markers and their applications in wheat breeding.Plant Breeding 118, 369-390.

Ivandic V, Hacket CA, Nevo E, Keith R, Thomas WTB, Forster BP. 2002. Analysis of simple sequence repeats (SSR) in wild barley from the Fertile Crescent: association with ecology, geography and flowering time. Plant Molecular Biology 48, 511-527.

Kalendar R, Flavell AJ, Ellis THN, Sjakset T, Schulman AH. 2011. Analysis of plant diversity with retrotransposon-based molecular markers. Heredity 106, 520-530.

Khaled AGA, Hamam KA. 2015.Association of molecular markers with phenotypic traits of bead wheat genotypes. Egyptian Journal of Genetics and Cytology 44, 115-130.

Khaled AGA, Motawea MH, Said AA. 2015. Identification of ISSR and RAPD markers linked to yield traits in bread wheat under normal and drought conditions. Journal of Genetics Engineering and Biotechnology 13, 243-252.

Kilian B, Deusch H, Effgen S, Brandolini A, Kohl J, Martin W,Salamini F. 2007. Independent wheat B and G genome origins in outcrossing Aegilopsprogenitorhaplotypes. Molecular Biology and Evolution 24, 217-227.

Kimber G, Feldman M. 1987. Wild wheat: An introduction. Special Report No. 353, College of Agriculture, University of Missouri, Columbia, USA.

Kumar A, Hirochika H. 2001. Applications of retrotransposons as genetic tools in plant biology. Trends in Plant Science 6, 127-134.

Lodhi M, Guang NingYe N, Weeden F, Bruce I. 1994. A simple and efficient method for DNA extraction from grapevine cultivars, vitis species and ampelopsis. Plant Molecular Biology Reporter 12, 6-13.

Marsafari M, Mehrabi AA, Tahmasebi Z. 2014. The identification of RAPD and ISSR informative markers with some quality traits of fruit in some of Iranian date palm. International Journal of Plant Animal and Environmental Sciences 4, 714-722.

Mizumoto K, Hirosawa S, Nakamura C, Takumi S. 2002. Nuclear and chloroplast genome genetic diversity in the wild wheat, Triticum urartu, revealed by AFLP and SSL analysis. Hereditas 137, 208-214.

MotaweaMH, Said AA, Khaled AGA. 2015. ISSR marker-trait associations and stability analysis in bread wheat varieties. Plant Breed Biotech 3, 167-177.

Neale DB, Savolainen O. 2004. Association genetics of complex traits in conifers. Trends in Plant Science 9, 325-330.

Peakall R, Smouse PE. 2006. GenAlEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes 6, 288-295.

Roy JK, Bandopadhyay R, Rustagi S, Baylan HS, Gupta PK. 2006. Association analysis of agronomically important traits using SSR, SAMPLE and AFLP markers in bread wheat.Current Science 90, 683- 689.

Saeidi H, Rahiminejad MR, Heslop Harrison JS. 2008. Retroelement insertional polymorphisms diversity and phylogeography within diploid D-genome Aegilopstauschii (triticeaepoaceae) sub-taxa in Iran. Annals of Botany 101, 855-861.

Van Slageren MW. 1994. Wild wheats. Amonograph of Aegilops L. and Amllyopyrum (Jaub. &Spach) Eig (Poaceae).Wageningen Agricultural University Papers 7, 513.

Related Articles

Dietary Aloe vera improves growth and hematology in Nile tilapia (Oreochromis niloticus)

Fatima Khan*, J. Biodiv. & Environ. Sci. 28(4), 89-99, April 2026.

Intercropping camphor basil shrubs with selected food crops for ecosystem services in the upper midland agroecological zone of Western Kenya

Reuben K. B. Chumba*, Alex Awiti, Francis Namasaka Muyekho, Vitalis Ogemah, Jacob Omollo, Yosef Kidane Gebrehawariat, J. Biodiv. & Environ. Sci. 28(4), 73-88, April 2026.

Surveillance and detection of African swine fever on abbatoir in different municipalities of third district of Cagayan, Philippines

Maricel F. Campanano, John Michael M. Melad, Mary Ann M. Santos*, J. Biodiv. & Environ. Sci. 28(4), 65-72, April 2026.

Mobile-based potato leaf disease identifier using ensemble modeling

Karen W. Cantilang*, Laarni M. Ladiao, J. Biodiv. & Environ. Sci. 28(4), 58-64, April 2026.

Diagnostic analysis of pig farms in the North of Côte d’Ivoire: Case of the commune of Korhogo

Seni Kouadio Sylvain*, Kadjo Vincent, Alla Konan Jean Bedel, Yao Koffi Sylvanus Aubert, N’glouan Wadjé Jérôme, Soro Ouation Souleymane, Kouassi Koffi Dongo, J. Biodiv. & Environ. Sci. 28(4), 48-57, April 2026.

Coral reef condition in Illana Bay, Zamboanga del Sur, Philippines: Basis for conservation management

Ruel S. Lasagas, Rosanilio M. Yagos*, Edgardo H. Rosales, J. Biodiv. & Environ. Sci. 28(4), 40-47, April 2026.

Preliminary floral and faunal species diversity in Maluyo River in Santol, La Union, Philippines

Judith M. Morales*, Analyn V. Sagun, Angelina T. Gonzales, J. Biodiv. & Environ. Sci. 28(4), 26-39, April 2026.

Challenges and impact of the farmer-scientists training program on community development in Bohol, Philippines

Jeffrey O. Awas*, Anabel J. Intong, Aida T. Salingay, Manolito C. Macalolot, J. Biodiv. & Environ. Sci. 28(4), 8-25, April 2026.