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Genetic diversity and relationships among Secale L. based on RAMP markers

Published online by Cambridge University Press:  12 February 2007

Shang Hai-Ying ,
Zheng You-Liang ,
Wei Yu-Ming ,
Wu Wei  and
Yan Ze-Hong
Shang Hai-Ying
Affiliation:
Triticeae Research Institute, Sichuan Agricultural University, Dujiangyan Sichuan 611830, China
Zheng You-Liang*
Affiliation:
Triticeae Research Institute, Sichuan Agricultural University, Dujiangyan Sichuan 611830, China
Wei Yu-Ming
Affiliation:
Triticeae Research Institute, Sichuan Agricultural University, Dujiangyan Sichuan 611830, China
Wu Wei
Affiliation:
Triticeae Research Institute, Sichuan Agricultural University, Dujiangyan Sichuan 611830, China
Yan Ze-Hong
Affiliation:
Triticeae Research Institute, Sichuan Agricultural University, Dujiangyan Sichuan 611830, China
*
*Corresponding author: Email: grmb@sicau.edu.cn
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Abstract

Genetic diversity and relationships among 21 accessions of Secale L., including three species and 10 subspecies, were evaluated using RAMP markers. Forty-one out of 80 (50.5%) RAMP primers, which produced clear and polymorphic bands, were selected for PCR amplification of genomic DNA. A total of 446 bands were amplified from the 41 primers, and 428 of these bands (about 96%) were polymorphic. Three to 19 polymorphic bands could be amplified from each primer, with an average of 10.4 bands. The RAMP-based genetic similarity (GS) values among the 21 Secale accessions ranged from 0.266 to 0.658, with a mean of 0.449. A high level of genetic variation was found between or within the wild populations and the cultivars. Based on the GS matrix, a dendrogram was constructed using the unweighted pair group method with arithmetic average (UPGMA). All 21 accessions could be distinguished by RAMP markers. Clustering results showed that the genetic diversity of Secale based on RAMP markers was correlated with geographical distribution. Six rye cultivars, originating from Poland, Portugal, Mexico, Hungary, Armenia and Ukraine, were clustered into one group. The six countries are all located in the transitional region of broad-leaf forests between maritime and continental temperate zones, with narrow latitude span. In comparison, the other five cultivars from countries scattered over a region with large latitude span were distributed within different groups or subgroups. Genetic relationships based on RAMP markers had great deviation from the original taxonomy. Some subspecies of the same species were distributed within different groups, while some accessions of different species were closely clustered into one subgroup. These results suggest that RAMP markers could be an effective technique for detecting genetic diversity among Secale and give some useful information about its phylogenic relationships.

Keywords

Secale LRAMPgenetic diversitycluster analysis
Type
Research Article
Information
Chinese Journal of Agricultural Biotechnology , Volume 1 , Issue 2 , August 2004 , pp. 73 - 78
Copyright
Copyright © China Agricultural University and Cambridge University Press 2004

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References

Arencibia, AD, Carmona, ER and Cornide, MT et al. . (1999) Somaclonal variation in insect-resistant transgenic sugarcane (Saccharum hybrid) plants produced by cell electroporation. Transgenic Research 8: 349–360.CrossRefGoogle Scholar
Cheng, HY, Yang, WC and Hsiao, JY (2001) Genetic diversity and relationship among peach cultivars based on random amplified microsatellite polymorphism (RAMP). Botanical Bulletin of Academia Sinica 42: 201–206.Google Scholar
Dávila, JA, Sanchez, de la, Hoz, MP and Loarce, Y et al. . (1998) The use of random amplified microsatellite polymorphic DNA and coefficients of parentage to determine genetic relationships in barley. Genome 41: 477–486.CrossRefGoogle Scholar
Dávila, JA, Loarce, Y and Ramsay, L et al. . (1999) Comparison of RAMP and SSR markers for the study of wild barley genetic diversity. Hereditas 131: 5–13.CrossRefGoogle Scholar
Dong, YC (2000) Gene pools of wheat. Journal of Triticeae Crops 3: 78–81. (in Chinese with English abstract)Google Scholar
Frederiksen, S and Petersen, G (1998) A taxonomic revision of Secale (Triticeae, Poaceae). Nordic Journal of Botany 18: 399–420.CrossRefGoogle Scholar
Guo, BZ (1987) Flora Reipublicae Popularis Sinicae. Beijing: Science Press 3: 117–118 (in Chinese).Google Scholar
Guo, JX, Zhou, NY, Ma, LC et al. . (2002) Genetic diversity in Brassica rapa revealed by AFLP molecular markers. Journal of Agricultural Biotechnology 10: 138–143. (in Chinese with English abstract).Google Scholar
Khush, GS (1962) Cytogenetic and evolutionary studies in Secale. II. Interrelationships of the wild species. Evolution 16: 484–496.CrossRefGoogle Scholar
Murai, K, Naiyu, X and Tsunewaki, K et al. . (1989) Studies on the origin of crop species by restriction endonuclease analysis of organellar DNA. III. Chloroplast DNA variation and interspecific relationships in the genus Secale. Japanese Journal of Genetics 64: 36–47.Google Scholar
Nei, M and Li, WH (1979) Mathematical model for studying genetic variation in terms of restriction endonucleases. Proceedings of the National Academy of Sciences of the USA 76: 5269–5273.CrossRefGoogle ScholarPubMed
Peterson, G and Doebley, JF (1993) Chloroplast DNA variation in the genus Secale (Poaceae). Plant Systematics and Evolution 187: 115–125.CrossRefGoogle Scholar
Reddy, P and Appels, R (1989) A second locus for the 5S multigene family in Secale L.: sequence divergence in two lineages of the family. Genome 32: 456–467.CrossRefGoogle ScholarPubMed
Saghai-Maroof, MA, Sliman, KM and Jorgensen, RA et al. . (1984) Ribosome DNA spacer-length polymorphism in barley: Mendelian inheritance, chromosomal location and population dynamics. Proceedings of the National Academy of Sciences of the USA 81: 8014–8018.CrossRefGoogle ScholarPubMed
Sala, F, Arencibia, A and Castiglione, S et al. . (2000) Somaclonal variation in transgenic plants. Acta Horticulturae 530: 411–419.CrossRefGoogle Scholar
Sanchez de la Hoz, MP, Davila, JA and Loarce, Y et al. . (1996) Simple sequence repeat primers used in polymerase chain reaction amplifications to study genetic diversity in barley. Genome 39: 112–117.Google ScholarPubMed
Shewry, PR, Bradberry, D and Franklin, J et al. . (1984) The chromosomal locations and linkage relationships of the structural genes for the prolamin storage proteins (secalins) of rye. Theoretical and Applied Research 69: 63–69.Google ScholarPubMed
Wu, KS, Jones, R and Danneberger, L et al. . (1994) Detection of microsatellite polymorphisms without cloning. Nucleic Acids Research 22: 3257–3258.CrossRefGoogle ScholarPubMed
Wu, W (2002) Studies on germplasm resources researches of Houttuynia Thunb. PhD thesis, Sichuan Agriculture University (in Chinese with English abstract).Google Scholar