Peer-reviewed articles 17,970 +


Title: CHARACTERISATION OF GENETIC DIVERSITY OF SOME BREAD WHEAT GROWN IN SEMI-ARID ENVIRONMENT IN ALGERIA USING SSR MARKERS
CHARACTERISATION OF GENETIC DIVERSITY OF SOME BREAD WHEAT GROWN IN SEMI-ARID ENVIRONMENT IN ALGERIA USING SSR MARKERS

PlumX Article Metrics by Elsevier
KARA Karima; Malika RACHED-KANOUNI; Alia ZERROUKI
10.5593/sgem2023V/6.2/s25.08
10.5593/sgem2023v/6.2
1314-2704
978-619-7603-66-8
English
23
6.2
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Advances in Biotechnology
The assessment of genetic diversity is a key step in evaluating the adaptation of populations to new environmental conditions, and thus in the selection of new cultivars. The present investigation aimed to assess genetic variability of bread wheat (Triticum aestivum L.) genotypes grown in Algeria. The 17 hexaploid genotypes of bread wheat were assessed using 16 molecular microsatellites of SSR (Simple Sequence Repeat). Among the 16 microsatellite markers tested, only 11 markers were the most polymorphic and reproducible. The Polymorphism Information Content (PIC) values per locus varied from 0.14 to 0.70 with an average of 0.48 and 0.49. Genetic similarity between genotypes varied from 0.27 and 0.92 with an average of 0.60. The highest genetic distance value of 0.92 has been scored between Kauz/Pastor/Fiscal and Wbll1*2/Brambling. The lowest value of 0.27 scored between Cham6 and Pastor/Wbll1. Genetic similarity calculated from molecular data and used to produce a dendrogram. The genotypes involved were divided into two clear groups according to their origin and pedigree. The first cluster included wheat genotypes Ain Abid (local genotypes), Attila/2 Pastor, and 5119 (introduced genotypes). The second group revealed high polymorphism and subdivided into four sub-groups. The high diversity revealed among the wheat accessions grown in Algeria is likely to be used in genetic improvement programmes.
[1.] Al Khanjari S, Hammer K, Buerkert A, Roder M. 2007. Molecular diversity ofOmani wheat revealed by microsatellites. Genetic Resource and Crop Evolution 54:1407-1417.
[2.] Ali Y, Atta B, Akhter J, Monneveux P, Lateef Z. 2008. Genetic variabilityassociation and diversity studies in wheat (Triticum aestivum L.) germplasm. PakistanJournal of Botany 40: 2087-2097.
[3.] Allahverdiyev T. 2015. Effect of drought stress on some physiological traits ofdurum (Triticum durum Desf.) and bread (Triticum aestivum L.) wheat genotypes. Journalof Stress Physiology and Biochemistry 11(11): 29-38.
[4.] Allen AM, Winfield MO, Burridge AJ, Downie RC, Benbow HR, Barker GL,Wilkinson PA, Coghill J, Waterfall C, Davassi A, Scopes G. 2017. Characterization of aWheat Breeders’ Array suitable for highthroughput SNP genotyping of global accessionsof hexaploid bread wheat (Triticum aestivum). Plant Biotechnology Journal 15(3):390-401.
[5.] Babay E, Chaabane R, Mzid-Abdmouleh R, Ben Naceur M. 2015. Diversity ofTunisian bread wheat genotypes revealed by Morpho-agronomical and microsatellitemarkers. Bioscience Journal 31(3): 701-708.
[6.] Bellatreche A, Mnasri S, Ben Naceur M, Gaouar SSB. 2019. Study of theMolecular Biodiversity of the Saharan Bread Wheat in Algeria. Cereal ResearchCommunications 47: 724-739. DOI: 10.1556/0806.
[7.] Ben Naceur M. 1998. Development and assessment of new plant genotypes bymolecular biology methods. Post-doctoral Graduate Report, School of Biotechnology,Korea University.
[8.] Boudour L, Gherroucha H, Boukaboub A, Bouchtab K, Baka M, Samra K. 2011.Evaluation of genetic diversity of an Algerian durum wheat (Triticum durum Desf.)collection. Journal of Stress Physiology and Biochemistry 7(3): 95–107.
[9.] Chao S, Zhang W, Dubcovsky J, Sorrells M. 2007. Evaluation of genetic diversityand genome- wide linkage disequilibrium among U.S. wheat (Triticum aestivum L.)germplasm representing different market classes. Crop Science 47 : 1018-1030.
[10.] CIC, Conseil International des Cereales 2010. Les statistiques mondiales,calculees par le Conseil International des Cereales. Marche des cereales. GRM, N°. 402.
[11.] Drikvand R, Bihamta MR, Najafian G, Ebrahimi A. 2013. Investigation of GeneticDiversity among Bread Wheat Cultivars (Triticum aestivum L.) using SSR Markers.Journal of Agricultural Science 5 (3): 73-97.
[12.] Farzad A, Mehrvar MR, Ali Nazeri A, Juraimi AS. 2013. Investigation of wheatgrain quality characteristics under water deficit condition during postanthesis stage.Journal of Agricultural and Biological Science 1: 273-278

[13.] Flagella Z, Giuliani MM, Giuzio L, Volpi C, Masci S. 2010. Influence of waterdeficit on durum wheat storage protein composition and technological quality. EuropeanJournal of Agronomy 33: 197-207.
[14.] Grassini P, Eskridge KM, Cassman KG (2013). Distinguishing between yieldadvances and yield plateaus in historical crop production trends. Nature Communication4:2918-3000.
[15.] Huang XQ, Borner MS, Goral MW. 2002. Assessing genetic diversity of wheat(Triticum aestivum L.) germplasm using microsatellite markers. Theoretical and AppliedGenetics 105: 699-707.
[16.] Islam SM, Haque S, Emon RM, Islam MM, Begum SN. 2012. Molecularcharacterization of wheat (triticum aestivum L.) genotypes through SSR markers.Bangladesh Journal of Agricultural Research 37(3): 389-398.
[17.] Jain S, Jain RK, McCouch SR. 2004. Genetic analysis of Indian aromatic andquality rice (Oryza sativa L.) germplasm using panels of fluroscently-labeledmicrosatellite markers. Theoretical and Applied Genetics 109: 965-977.
[18.] Kara K, Brinis L. 2012. Reponse Physiologique au Stress Hydrique de Varietesde Ble Tendre (Triticum aestivum L.) Cultivees en Algerie. European Journal of ScientificResearch 81(4): 524-532.
[19.] Kara K, Kanouni-Rached M, Tahar A, Brinis L. 2014. Influence of Mediterraneanconditions on yield parameters and quality of breed wheat (Triticum aestivum),International Journal of Advanced Scientific and Technical Research 4(3): 157-164.
[20.] Kara K, Mezghani N, Saddoud Debbabi O, Madini M, Ben Naceur M. 2016.Assessment of genetic diversity of wheat (Triticum aestivum L.) using agromorphological characters and microsatellite markers 2016. International Journal ofBiosciences 9(4): 92-101. Doi.org/10.12692/ijb/9.4.92-101.
[21.] Kara K, Kanouni-Rached M, Saddoud Debbabi O, Ben Naceur M. 2017. Geneticdiversity of bread wheat genotypes (Triticum aestivum L.) revealed by agromorphologicalcharacteristics and microsatellite SSR markers. International Journal of EngineeringResearch and Technology 6(1): 178- 182.
[22.] Khaled FMS, Roder MS, Borner A. 2015. Assessing genetic diversity of Egyptianhexaploid wheat (Triticum aestivum L.) using microsatellite markers. Genetic Resourceand Crop Evolution 62(3): 377-385. DOI 10.1007/s10722-014-0159-5
[23.] Kondic-Spika AD, Dencic SS, Mladenov NV, Trkulja D, Mikic SZ, Hristov NS,Marjanovic-Jeromela AM. 2016. Polymorphism of microsatellite loci in bread wheat(Triticum aestivum L.) and related species. Journal of Natural Science Novi Sad 131: 81-89. DOI: 10.2298/ZMSPN1631081K.
[24.] Leisova L, Kucera L, Dotlacil L. 2007. Microsatellites as tool to evaluated andcharacterize bread wheat core collection. Wheat Production in stressed Environments771-778.
[25.] Maggie L. 2000. Le ble dur en Afrique du Nord. Agriculture et Agro-alimentationCanada (AAC). Pub. Division analyse du marche, Bulletin bimensuel 13.
[26.] Malik R, Tiwari R, Arora A, Kumar P, Sheoran S. 2013. Genotypiccharacterization of elite Indian wheat genotypes using molecular markers and theirpedigree analysis. Australian Journal of Crop Science 7 (5): 561-567.

[27.] Nagy S, Poczai P, Cernak I, Gorji AM, Hegedus G, Taller J. 2012. An onlineprogram to calculate polymorphic information content for molecular genetic studies.Biochemistry Genetics 50 (9–10): 670–672. Doi: 10.1007/s10528-012-9509-1.
[28.] Nei M, Li WH. 1979. Mathematical model for studying genetic variation in termsof restriction endonucleases. Proceedings of the National Academy of Sciences U.S.A,76: 5269-5273.
[29.] Oury FG, Godin C. 2007. Yield and grain protein concentration in bread wheat:how to use the negative relationship between the two characters to identify favourablegenotypes? Euphytica 157: 45-57
[30.] Ozlem AS, Begum T. 2018. Characterization of some bread wheat genotypesusing molecular markers for drought tolerance. Physiology and Molecular Biology ofPlants 24(1):159–166.
[31.] Ramadugu C, Keremane ML, Hu X, Karp D, Federici CT, Kahn T, Lee RF. 2015.Genetic analysis of citron (Citrus medica L.) using simple sequence repeats and singlenucleotide polymorphisms. Science of Horticulture 195:124–137. Doi:10.1016/j.scienta.2015.09.004.
[32.] Rampino P, Pataleo S, Gerardi C, Mita G, Perrotta C, 2006. Drought stressresponse in wheat: physiological and molecular analysis of resistant and sensitivegenotypes. Plant, Cell and Environment 29: 2143–2152.
[33.] Reza MD, Goodarz N, Elham Aram S. 2015. Investigation of genetic diversity ofsome durum and bread wheat genotypes using SSR markers. Journal of Biodiversity andEnvironment Sciences 6(3):24-32.
[34.] Rohlf FJ. 1989. NTSYS-pc: numerical taxonomy and multivariate analysissystem. Analysis system version 2.02, Exeter Software, New York, N.Y: Setauket
[35.] Salehi M, Arzani A, Talebi M, Rokhzadi A. 2018. Genetic diversity of wheat wildrelatives using SSR markers. Genetika 50:131–141. Doi.org /10.2298 / GENSR1801131S
[36.] Salem KFM, El-Zanaty AM, Esmail RM. 2008. Assessing Wheat (Triticumaestivum L.) Genetic Diversity Using Morphological Characters and MicrosatelliteMarkers. World Journal of Agricultural Science 4 (5): 538-544.
[37.] Salem KFM, Roder MS, Borner A. 2014. Assessing genetic diversity of Egyptianhexaploid wheat (Triticum aestivum L.) using microsatellite markers. Genetic Resourceand Crop Evolution 62: 377–385. DOI 10.1007/s10722-014-0159-5.
[38.] Tekeu H, Ngonkeu E, Djocgoue F, Ellis A, Lendzemo V, Springfield L, MoulinL, Klonowska A, Diouf D, Botes W and Bena G. 2017. Genetic diversity of Cameroonianbread wheat (Triticum aestivum L.) cultivars revealed by microsatellite markers. Africanjournal of biotechnology 16(36): 1832-1839. DOI: 10.5897/AJB2017.16090
[39.] Toklu F, Baloch FS, Karakoy T, Ozkan H. 2015. Effects of different primingapplications on seed germination and some agromorphological characteristics of breadwheat (Triticum aestivum L.). Turkish Journal of Agriculture and Forestry 39: 1005-1013.
[40.] Yao J, Ma H, Yang X, Yao GU, Zhou M. 2014. Inheritance of grain yield and it’scorrelated with yield components in bread wheat (Triticum aestivum L.). African Journalof Biotechnology 13(12): 1379- 1385.
[41.] Zarkti H, Ouabbo H, Hilali A, Udupa SM. 2010. Detection of genetic diversity inMoroccan durum wheat accessions using agromorphological traits and microsatellitemarkers. African Journal Agricultural Research 5: 1837-1844.
conference
https://doi.org/10.5593/sgem2023V/6.2/s25.08
Download PDF
Proceedings of 23rd International Multidisciplinary Scientific GeoConference SGEM 2023
23rd International Multidisciplinary Scientific GeoConference SGEM 2023, 28-30 November, 2023
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
59-68
28-30 November, 2023
website
9584
Triticum aestivum, PIC, Microsatellites, Genetic diversity