Skip to main content Accessibility help
×
Home
Hostname: page-component-684bc48f8b-9ddkh Total loading time: 0.3 Render date: 2021-04-12T12:14:09.305Z Has data issue: true Feature Flags: { "shouldUseShareProductTool": true, "shouldUseHypothesis": true, "isUnsiloEnabled": true, "metricsAbstractViews": false, "figures": false, "newCiteModal": false, "newCitedByModal": true }

Identification of stripe rust resistant genes in resistant synthetic hexaploid wheat accessions using linked markers

Published online by Cambridge University Press:  14 August 2015

Sumaira Farrakh
Affiliation:
Department of Biosciences, COMSATS Institute of Information Technology, Islamabad, Pakistan
Sumbul Khalid
Affiliation:
Department of Biotechnology, International Islamic University, Islamabad, Pakistan
Ayesha Rafique
Affiliation:
Department of Biotechnology, International Islamic University, Islamabad, Pakistan
Naveeda Riaz
Affiliation:
Department of Biotechnology, International Islamic University, Islamabad, Pakistan
Abdul Mujeeb-Kazi
Affiliation:
Wheat Wide Crosses, National Agriculture Research Center, Islamabad, Pakistan
Corresponding

Abstract

Stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is one of the most important diseases affecting wheat. In this study, seven gene-linked markers were used to identify the presence of stripe rust resistant genes in 51 accessions of synthetic hexaploid of wheat which were found to be resistant at seedling plant stage. Molecular marker-based gene identification showed the presence of Yr5, Yr10 and Yr15 in three accessions, Yr36 in three accessions, Yr48 in seven accessions, YrR61 in four accessions, and YrTP1 in ten accessions of resistant hexaploid of wheat. These gene-linked markers were also used for the detection of genetic diversity. A total of 68 alleles were detected by these seven gene-linked markers. The mean number of allele was 11.3 alleles per locus. Genetic diversity values ranged from 0.34 to 0.93, with highest genetic diversity value of 0.93 detected for marker Xwm477. The lowest genetic diversity value was observed for marker Xbarc167. The polymorphic information content value ranged from 0.33 to 0.92 with an average of 0.54. The highest number of alleles (n= 24) were detected for marker Xwmc477. The evidence in this study on the basis of genetic diversity and presence of Yr genes in synthetic hexaploid wheat accessions will be useful in further breeding programmes.

Type
Research Article
Copyright
Copyright © NIAB 2015 

Access options

Get access to the full version of this content by using one of the access options below.

References

Afzal, NS, Haque, MI, Rauf, A, Ahmad, I and Firdous, SS (2010) Vulnerability of Pakistani wheat (Triticum estivum L.) varieties against stripe rust under rain fed climate of the Northern Punjab and NWFP. Pakistan Journal of Botany 42: 20292042.Google Scholar
Ahmad, S, Rodriguez, A, Farid, SG, Roidar, KB and Panah, M (1991) Economic losses of wheat crops infested with yellow rust in highland Balochistan. MART/AZR Project Research# 67. Quetta: ICARDA, pp. 115.Google Scholar
Bux, H, Ashraf, M, Hussain, F, Rattu, AR and Fayyaz, M (2012) Characterization of wheat germplasm for stripe rust (Puccinia striiformis f. sp. tritici) resistance. Australian Journal of Crop Science 6: 116120.Google Scholar
Cabuk, E, Aydin, Y and Uncuoglu, AA (2011) Assessing wheat (Triticum aestivum) genotypes for Yr resistance genes using conserved regions and simple-sequence motifs. Genetics and Molecular Research 4: 34633471.CrossRefGoogle Scholar
Chen, XM (2007) Challenges and solutions for stripe rust control in the United States. Australian Journal of Agricultural Research 58: 648655.CrossRefGoogle Scholar
Cota-Sánchez, JH, Remarchuk, K and Ubayasena, K (2006) Ready-to-use DNA extracted with a CTAB method adapted for herbarium specimens and mucilaginous plant tissue. Plant Molecular Biology Reporter 24: 161167.CrossRefGoogle Scholar
Dubcovsky, J (2006) Genetic and molecular characterization of the VRN2 loci in tetraploid wheat. Physiology 149: 245257.Google Scholar
Ejaz, M, Iqbal, M, Shehzad, A, Rehman, AU, Ahmed, I and Ali, GM (2012) Genetic variation for markers linked to stem rust resistance genes in Pakistani wheat varieties. Crop Science 52: 26382648.Google Scholar
Gold, J, Harder, D, Townsley-Smith, F, Aung, T and Procunier, J (1999) Development of a molecular marker for rust resistance genes Sr39 and Lr35 in wheat breeding lines. Electronic Journal of Biotechnology 2: 16.Google Scholar
Gupta, PK, Balyan, HS, Edwards, KJ, Isaac, P, Korzun, V, Roder, M, Gautier, MF, Joudrier, P, Schlatter, R, Dubcovsky, J, De La Pena, C, Khairallah, M, Penner, G, Hayden, J, Sharp, P, Keller, B, Wang, C, Hardouin, P, Jack, P and Leroy, P (2002) Genetic mapping of 66 new microsatellite (SSR) in bread wheat. Theoretical and Applied Genetics 105: 413422.Google Scholar
Joshi, KR and Nayak, S (2010) Gene pyramiding – a broad spectrum technique for developing durable stress resistance in crops. Biotechnology and Molecular Biology 5: 5160.Google Scholar
Kadkhodaei, M, Dadkhodaie, A, Assad, MT, Heidari, B and Ghalamfarsa, M (2012) Identification of the leaf rust resistance genes Lr9, Lr26, Lr28, Lr34, and Lr35 in a collection of Iranian wheat genotypes using STS and SCAR markers. Journal of Crop Science and Biotechnology 4: 267274.CrossRefGoogle Scholar
Liu, K and Muse, SV (2005) PowerMarker: an integrated analysis environment for genetic marker analysis. Bioinformatics 21: 21282129.CrossRefGoogle ScholarPubMed
McNeal, EH, Konzak, CF, Smith, EP, Tate, WS and Russell, TS (1971) A Uniform System for Recording and Processing Cereal Research Data. Washington, DC: US Department of Agriculture, Agricultural Research Service, pp. 34121.Google Scholar
Mujeeb-Kazi, A, Alvina, G, Farooq, M, Rizwan, S and Ahmad, I (2008) Rebirth of synthetic hexaploids with global implications for wheat improvement. Australian Journal of Agricultural Research 59: 391398.CrossRefGoogle Scholar
Mukhtar, MS, Rahman, M and Zafar, Y (2002) Assessment of genetic diversity among wheat (T. aestivum) cultivars from a range of localities across Pakistan using random polymorphic DNA (RAPD) analysis. Euphytica 128: 417425.CrossRefGoogle Scholar
Naik, S, Gill, KS, Prakasa, VS, Gupta, VS, Tamhankar, SA, Putjar, S, Gill, BS and Ranjekar, PK (1998) Identification of a STS marker linked to the Aegilops speltoides-derived leaf rust resistance gene Lr28 in wheat. Theoretical and Applied Genetics 97: 535540.CrossRefGoogle Scholar
Patzak, J, Frantisek, P and Henychova, A (2011) Identification of apple scab and powdery mildew resistance genes in Czech apple (Malus× domestica) genetic resources by PCR molecular marker. Czech Journal of Genetics and Plant Breeding 4: 156165.Google Scholar
Pedersen, WL and Leath, S (1988) Pyramiding major genes for resistance to maintain residual effects. Annual Review of Phytopathology 26: 369378.CrossRefGoogle Scholar
Rizwan, S, Ahmad, I, Mujeeb-Kazi, A, Ghulam Mustafa, S, Javed Iqbal, M, Rattu, AR and Ashraf, M (2010) Virulence variation of Puccinia striiformis Westend. f. sp. tritici in Pakistan. Archive of Phytopathology and Plant Protection 43: 875882.CrossRefGoogle Scholar
Singh, RP, William, HM, Huerta-Espino, J and Rosewarne, G (2004) Wheat rust in Asia: meeting the challenges with old and new technologies. In: New Directions for a Diverse Planet. Proceedings of the 4th International Crop Science Congress, 26th September–1st October 2004, Brisbane, Australia .Google Scholar
Song, QJ, Fichus, EW and Cregan, PB (2002) Characterization of trinucleotide SSR motifs in wheat. Theoretical and Applied Genetics 104: 286293.CrossRefGoogle ScholarPubMed
Sourdille, P, Singh, S, Cadalen, T, Brown-Guedira, GL, Gay, G, Qi, L, Gill, BS, Dufour, P, Murigneux, A and Bernard, M (2004) Microsatellite-based deletion bin system for the establishment of genetic–physical map relationships in wheat (Triticum aestivum L.). Functional & Integrative Genomics 4: 1225.CrossRefGoogle Scholar
Sumikova, T and Hanzalova, A (2010) Multiplex PCR assay to detect rust resistance genes Lr26 and Lr37 in wheat. Czech Journal of Genetics and Plant Breeding 46: 8589.Google Scholar
Todorovska, E, Christov, N, Christova, P and Vassilev, D (2009) Biotic stress resistance in wheat – breeding and genomic selection implications. Biotechnology & Biotechnological Equipment 23: 14101413.CrossRefGoogle Scholar
Vanzetti, LS, Campos, P, Demichelis, M, Lombardo, LA, Aurelia, PR, Vaschetto, LM, Bainotti, CT and Helguera, M (2011) Identification of leaf rust resistance genes in selected Argentinean bread wheat cultivars by gene postulation and molecular markers. Electronic Journal of Biotechnology 14: 117.CrossRefGoogle Scholar
Zeng, QD, Han, DJ, Wang, QL, Yuan, FP, Wu, JH, Zhang, L, Wang, XJ, Huang, LL, Chen, XM and Kang, ZS (2014) Stripe rust resistance and genes in Chinese wheat cultivars and breeding lines. Euphytica 196: 271284.CrossRefGoogle Scholar
Zhang, Y, Yang, WY, Peng, YL, Li, J and Zheng, YL (2006) Inheritance of resistance for Chinese wheat stripe rust races in a new common wheat variety Chuanmai 42 derived from synthetics between Triticum durum× Aegilops tauschii . Acta Phytophysiol Sinica 33: 287290.Google Scholar

Farrakh supplementary material

Tables S1-S4 and Figures S1-S3

File 276 KB

Full text views

Full text views reflects PDF downloads, PDFs sent to Google Drive, Dropbox and Kindle and HTML full text views.

Total number of HTML views: 19
Total number of PDF views: 72 *
View data table for this chart

* Views captured on Cambridge Core between September 2016 - 12th April 2021. This data will be updated every 24 hours.

Send article to Kindle

To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Identification of stripe rust resistant genes in resistant synthetic hexaploid wheat accessions using linked markers
Available formats
×

Send article to Dropbox

To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

Identification of stripe rust resistant genes in resistant synthetic hexaploid wheat accessions using linked markers
Available formats
×

Send article to Google Drive

To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

Identification of stripe rust resistant genes in resistant synthetic hexaploid wheat accessions using linked markers
Available formats
×
×

Reply to: Submit a response


Your details


Conflicting interests

Do you have any conflicting interests? *