Volume 9, Issue 21 (6-2017)
jcb 2017, 9(21): 18-26 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
(2017). Evaluation of Genetic Diversity in Some Iranian Bitter Vetch Landraces using Microsatellite Markers. jcb. 9(21), 18-26. doi:10.29252/jcb.9.21.18
URL: http://jcb.sanru.ac.ir/article-1-791-en.html
URL: http://jcb.sanru.ac.ir/article-1-791-en.html
Abstract: (3888 Views)
The genetic diversity of 19 bitter vetch landraces (Vicia ervilia L.) from four provinces (East Azerbaijan, West Azerbaijan, Ardabil and Zanjan) of Iran was evaluated using 18 pairs of SSR primers. The extracted genomic DNA was amplified with eight pair primers and PCR products were separated on DNA sequencing gels. In this research, eight pair of SSR primers detected a total of 27 alleles. Primers VE02, VE05, VE07, VE09 and VE19 with four alleles had the highest and VE14 and VE27 with two alleles had the lowest number of alleles among the SSR markers employed. The average of observed heterozygosity was 0.0435. According to Chi-square test, populations were out of Hardy–Weinberg equilibrium. The results showed that the average of polymorphism information content (PIC) of primers was 0.5363. Primer VE02 had the highest PIC (0.6934) and primer VE27 had the lowest PIC (0.1093). The highest genetic distance was observed between Ardabil (from Ardabil province) with Chumalu (from Zanjan province) landraces. The least genetic distance was observed between Barazin (from East Azerbaijan province) and Khiarak (from Ardabil province) landraces. Cluster analysis based on Nei similarity coefficient matrix using UPGMA method classified the landraces into five main groups. The results indicated that SSR markers are efficient in case of polymorphism detection and genetic distance evaluation between Iranian bitter vetch landraces, and can be used as valuable tools in analysis of genetic relationships between bitter vetch landraces.
Type of Study: Research |
Subject:
اصلاح نباتات، بیومتری
Received: 2017/07/30 | Accepted: 2017/07/30 | Published: 2017/07/30
Received: 2017/07/30 | Accepted: 2017/07/30 | Published: 2017/07/30
References
1. Abbasi, M.R., S. Vaezi and N. Baghaie. 2007. Genetic diversity of bitter vetch (Vicia ervilia) collection of the National Plant Gene Bank of Iran based on agro-morphological traits. Iranian Journal of Rangelands and Forests Plant Breeding and Genetic Research, 15: 113-128 (In Persian).
2. Abdullah, A.Y., M.M. Muwalla, R.I. Qudsieh and H.H. Titi. 2010 .Effect of bitter vetch (Vicia ervilia) seeds as a replacement protein source of soybean meal on performance and carcass characteristics of finishing Awassi lambs. Tropical Animal Health and Production, 42: 293-300. [DOI:10.1007/s11250-009-9420-x]
3. Amini, J., S. Razaghzadeh and A. Mohsenpour Azari. 2001. The effects of use of Lathyrus sativus instead of soybean meal in broiler chicken nutrition. The 3rd Research Seminar of Poultry and Livestock Nutrition, 239-247 (In Persian).
4. Collard, B.C.Y., M.Z.Z. Jahufer, J. Brouwer and E.C.K. Bandpang. 2005. An introduction to markers, quantitative trait loci (QTL) mapping and marker-assisted selection for crop improvement: The basic concept. Euphytica, 142: 169-196. [DOI:10.1007/s10681-005-1681-5]
5. Davis, P.H. and U. Plitwan. 1990. Vicia. In: Davis, P.H. (eds.) Flora of Turkey. Edinburgh University Press, Edinburgh Scotland, 3: 274-325.
6. Doyle, J.J. and J.L. Doyle. 1987. Rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin, 19: 11-15.
7. Ebrahimi, T., G.A. Ranjbar, G. Nematzadeh and G. Kiani. 2013. Molecular tagging of stem anthocyanin gene in rice using SSR markers. Journal of Crop Breeding, 5: 60-68 (In Persian).
8. ElFatehi, S., G. Béna, L. Sbabou, A. Filali-Maltouf and M. Ater. 2013. Preliminary results for use SSR markers in bitter vetch "Vicia ervilia (L.) willd. International Journal of Research in Agriculture and Food Science, 1: 40-46.
9. Farrokhi, J. and L. Naseri. 2012. Genetic diversity survey of Iranian native apples (Malus× domestica) genotypes using SSR markers. Agricultural Biotechnology, 10: 27-34 (In Persian).
10. Feg, F., M. Chen, D. Zhang, X. Sui and S. Ha. 2009. Application of SRAP in the genetic diversity of Pinus koraiensis of different provenances. African Journal of Biotechnology, 8: 1000-1008.
11. Fotovat, R. 1996. Estimation of the mating system of bitter vetch using Isozyme CPT and study of genetic diversity. M.Sc. Thesis, Tabriz University, 99 pp (In Persian).
12. Ganjkhanlo, A., S.A. Mohammadi, M. Moghadam, K. Ghasemi Golazani, M.R. Shakiba and A. Yosefi. 2012. Genetic diversity in barley as revealed by microsatellite markers and association analysis of these markers by traits related to freezing tolerance. Seed and Plant improvement Journal, 28: 101-114 (In Persian).
13. Haddad, S.G. 2006. Bitter vetch grains as a substitute for soybean meal for growing lambs-livestock. Science, 99: 221-225. [DOI:10.1016/j.livprodsci.2005.06.014]
14. Hoshyardel, F., R. Darvishzadeh, A. Basirnia and H. Hatami Maleki. 2016. Association mapping of agronomic traits in oriental tobacco (Nicotiana tabacum L.) genotypes. Journal of Crop Breeding, 8: 134-143 (In Persian). [DOI:10.29252/jcb.8.18.134]
15. Lopez Belido, L. 1994. Legumes for animal feed. http://www.hortprudue.edu./new crop/1492/legume-animal.html.
16. Matus, I.A. and P.M. Hayes. 2002. Genetic diversity in three groups of barley germplasm assessed by simple sequence repeats. Genome, 45: 1095-1106. [DOI:10.1139/g02-071]
17. Mohammadi, S.A. and B.M. Prasanna. 2003. Analysis of genetic diversity in crop plants salient statistical tools and consideration. Crop Science, 43: 1235-1248. [DOI:10.2135/cropsci2003.1235]
18. Muminovic, J., A.E. Melchinger and T. Lubberstedt. 2004. Genetic diversity in cornsalad (Valerianella locusta) and related species as determined by AFLP markers. Plant Breeding, 123: 460-466. [DOI:10.1111/j.1439-0523.2004.00998.x]
19. Nei, M. 1972. Genetic distance between populations. The American Naturalist, 106: 283-292. [DOI:10.1086/282771]
20. Razmazar, V., N.M. Torbatinejad, J. Seifdavati and S. Hassani. 2012. Evaluation of chemical characteristics, rumen fermentation and digestibility of Vicia sativa, Lathyrus sativus and Vicia ervilia grain by in vitro methods. Journal of Animal Science Researches, 22: 107-119 (In Persian).
21. Reif, J.C., X.C. Xia, A.E. Melchinger, M.L. Warburton, D.A. Hoisington, D. Beck, M. Bohn and M. Frisch. 2004. Genetic diversity determined within and among CIMMYT maize population of tropical, subtropical and temperate germplasm by SSR markers. Crop Science, 44: 326-334. [DOI:10.2135/cropsci2004.3260]
22. Rotger, A., A. Ferret, S. Calsamiglia and X. Manteca. 2006. In situ degradability if seven plant protein supplements in hifers fed high concentration diet with different forage to concentrate ratio. Animal Feed Science and Technology, 125: 73-87. [DOI:10.1016/j.anifeedsci.2005.05.017]
23. Sadeghi, G.H., J. Pourreza, A. Samei and H. Rahmani. 2009. Chemical composition and some anti-nutrient content of raw and processed bitter vetch (Vicia ervilia) seed for use as feeding stuff in poultry diet. Tropical Animal Health and Production, 41: 85-93. [DOI:10.1007/s11250-008-9159-9]
24. Sahhafi, S.R. and B. Maleki Zanjani. 2016. Analysis of genetic variation for morphological and agronomic traits in bitter vetch landraces. The 2nd international and 14th National Iranian Crop Science Congress, 1-5 (In Persian).
25. Snowdon, R.J. and W. Fried. 2004. Molecular markers in Brassica oilseed breeding, current status and future possibilities. Plant Breeding, 123: 1-8. [DOI:10.1111/j.1439-0523.2003.00968.x]
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
