The use of molecular-genetic and phytopathological methods to identify genes for effective leaf rust resistance in Aegilops accessions

Author:

Tyryshkin L. G.1ORCID,Kolesova M. A.1ORCID

Affiliation:

1. N.I. Vavilov All-Russian Institute of Plant Genetic Resources

Abstract

Background. Identification of effective genes for disease resistance in resistant plant samples is the most important step toward recommending them for breeding. There are three main methods for such identification: hybridological analysis, phytopathological test, and DNA marking. The method of PCR markers is widely used in Russia to identify resistance genes in wheat relatives, including the genus Aegi lops L. for resistance to leaf rust. From a theoretical viewpoint, the presence of a certain amplification fragment can hardly be interpreted as a definite proof of the presence of a resistance gene: during the species evolution, recombinations and mutations could occur, resulting in disturbance of the fragment’s presence and phenotypic expression of its connection with resistance. The purpose of this work was a comparison between molecular-genetic and phytopathological methods to identify leaf rust resistance genes Lr9 and Lr41 in three Aegilops species.Materials and methods. We identified leaf rust resistance genes Lr9 and Lr41 in forty Aegilops accessions using PCR with J13 and GDM35 primers, respectively. In the phytopathological test, the seedlings were infected with the pathogen population (avirulent to Lr9 and Lr41 genes) and the fungus clones virulent to the wheat line with the Lr9 gene.Results and conclusions. According to the data of molecular marking, the Lr41 gene was present in twelve Ae. tauschii Coss. accessions; Lr9 in four Ae umbellulata Zhuk. accessions and four of Ae. biuncialis Vis. All accessions of Ae. tauschii, two of Ae. umbellulata, and three of Ae. biuncialis, possessing effective resistance genes according to the molecular testing, were susceptible to the pathogen population. For three Ae. umbellulata accessions resistant to the population, where DNA marking failed to identify an Lr9 gene, the presence of this gene was shown by a phytopathological test. Thus, there were significant differences in the postulation of effective Lr9 and Lr41 leaf rust resistance genes in Aegilops accessions after a phytopatological test and the use of DNA markers.

Publisher

FSBSI FRC N.I. Vavilov All-Russian Institute of Plant Genetic Resources

Subject

Plant Science,Genetics,Molecular Biology,Physiology,Biochemistry,Ecology, Evolution, Behavior and Systematics,Biotechnology

Reference24 articles.

1. Chelkowski J., Golka L., Stepien L. Application of STS markers for leaf rust resistance genes in near-isogenic lines of spring wheat cv. Thatcher. Journal of Applied Genetics. 2003;44(3):323-338.

2. Davoyan E.R., Davoyan R.O., Bebyakina I.V., Da voyan O.R., Zubanova Y.S., Kravchenko A.M. et al. Identification of a leaf rust resistance gene in species of Aegilops L., synthetic forms, and introgression lines of common wheat. Vavilov Journal of Genetics and Breeding. 2012;16(1):116-122. [in Russian]

3. Dorokhov D.B., Klocke E. A rapid and economic technique for RAPD-analysis of plant genomes. Russian Journal of Genetics. 1997;33(4):358-365. [in Russian]

4. Dzhenin S.V., Lapochkina I.F., Zhemchuzhina A.I., Ko valenko E.D. Donors of spring wheat resistant to the leaf rust with the genetic material of Aegilops speltoides L., Aegilops triuncialis L., Dorof. et Migusсh. Russian Agricultural Sciences. 2009;5:3-7. [in Russian]

5. Edwards K., Johnstone C., Thompson C. A simple and rapid method for the preparation of plant genomic DNA for PCR analysis. Nucleic Acids Research. 1991;19(6):1349. DOI: 10.1093/nar/19.6.1349

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3